From 6ab94e0b318884bbcb95e2ea3835f951502e1d99 Mon Sep 17 00:00:00 2001 From: jaseg Date: Wed, 14 Oct 2020 12:47:28 +0200 Subject: Move firmware into subdirectory --- .../DSP/Source/BasicMathFunctions/arm_abs_f32.c | 153 + .../DSP/Source/BasicMathFunctions/arm_abs_q15.c | 167 + .../DSP/Source/BasicMathFunctions/arm_abs_q31.c | 118 + .../DSP/Source/BasicMathFunctions/arm_abs_q7.c | 145 + .../DSP/Source/BasicMathFunctions/arm_add_f32.c | 138 + .../DSP/Source/BasicMathFunctions/arm_add_q15.c | 128 + .../DSP/Source/BasicMathFunctions/arm_add_q31.c | 136 + .../DSP/Source/BasicMathFunctions/arm_add_q7.c | 122 + .../Source/BasicMathFunctions/arm_dot_prod_f32.c | 123 + .../Source/BasicMathFunctions/arm_dot_prod_q15.c | 128 + .../Source/BasicMathFunctions/arm_dot_prod_q31.c | 131 + .../Source/BasicMathFunctions/arm_dot_prod_q7.c | 147 + .../DSP/Source/BasicMathFunctions/arm_mult_f32.c | 162 + .../DSP/Source/BasicMathFunctions/arm_mult_q15.c | 142 + .../DSP/Source/BasicMathFunctions/arm_mult_q31.c | 148 + .../DSP/Source/BasicMathFunctions/arm_mult_q7.c | 115 + .../DSP/Source/BasicMathFunctions/arm_negate_f32.c | 134 + .../DSP/Source/BasicMathFunctions/arm_negate_q15.c | 131 + .../DSP/Source/BasicMathFunctions/arm_negate_q31.c | 117 + .../DSP/Source/BasicMathFunctions/arm_negate_q7.c | 113 + .../DSP/Source/BasicMathFunctions/arm_offset_f32.c | 154 + .../DSP/Source/BasicMathFunctions/arm_offset_q15.c | 124 + .../DSP/Source/BasicMathFunctions/arm_offset_q31.c | 128 + .../DSP/Source/BasicMathFunctions/arm_offset_q7.c | 123 + .../DSP/Source/BasicMathFunctions/arm_scale_f32.c | 157 + .../DSP/Source/BasicMathFunctions/arm_scale_q15.c | 150 + .../DSP/Source/BasicMathFunctions/arm_scale_q31.c | 227 + .../DSP/Source/BasicMathFunctions/arm_scale_q7.c | 137 + .../DSP/Source/BasicMathFunctions/arm_shift_q15.c | 236 + .../DSP/Source/BasicMathFunctions/arm_shift_q31.c | 191 + .../DSP/Source/BasicMathFunctions/arm_shift_q7.c | 208 + 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| 196 + .../arm_cmplx_mult_cmplx_q15.c | 181 + .../arm_cmplx_mult_cmplx_q31.c | 314 + .../ComplexMathFunctions/arm_cmplx_mult_real_f32.c | 213 + .../ComplexMathFunctions/arm_cmplx_mult_real_q15.c | 191 + .../ComplexMathFunctions/arm_cmplx_mult_real_q31.c | 211 + .../Source/ControllerFunctions/arm_pid_init_f32.c | 74 + .../Source/ControllerFunctions/arm_pid_init_q15.c | 110 + .../Source/ControllerFunctions/arm_pid_init_q31.c | 95 + .../Source/ControllerFunctions/arm_pid_reset_f32.c | 53 + .../Source/ControllerFunctions/arm_pid_reset_q15.c | 52 + .../Source/ControllerFunctions/arm_pid_reset_q31.c | 53 + .../Source/ControllerFunctions/arm_sin_cos_f32.c | 144 + .../Source/ControllerFunctions/arm_sin_cos_q31.c | 110 + .../DSP/Source/FastMathFunctions/arm_cos_f32.c | 115 + .../DSP/Source/FastMathFunctions/arm_cos_q15.c | 84 + .../DSP/Source/FastMathFunctions/arm_cos_q31.c | 84 + .../DSP/Source/FastMathFunctions/arm_sin_f32.c | 123 + .../DSP/Source/FastMathFunctions/arm_sin_q15.c | 76 + 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.../DSP/Source/MatrixFunctions/arm_mat_init_q15.c | 67 + .../DSP/Source/MatrixFunctions/arm_mat_init_q31.c | 72 + .../Source/MatrixFunctions/arm_mat_inverse_f32.c | 691 + .../Source/MatrixFunctions/arm_mat_inverse_f64.c | 691 + .../DSP/Source/MatrixFunctions/arm_mat_mult_f32.c | 274 + .../Source/MatrixFunctions/arm_mat_mult_fast_q15.c | 525 + .../Source/MatrixFunctions/arm_mat_mult_fast_q31.c | 384 + .../DSP/Source/MatrixFunctions/arm_mat_mult_q15.c | 457 + .../DSP/Source/MatrixFunctions/arm_mat_mult_q31.c | 282 + .../DSP/Source/MatrixFunctions/arm_mat_scale_f32.c | 169 + .../DSP/Source/MatrixFunctions/arm_mat_scale_q15.c | 171 + .../DSP/Source/MatrixFunctions/arm_mat_scale_q31.c | 191 + .../DSP/Source/MatrixFunctions/arm_mat_sub_f32.c | 197 + .../DSP/Source/MatrixFunctions/arm_mat_sub_q15.c | 148 + .../DSP/Source/MatrixFunctions/arm_mat_sub_q31.c | 196 + .../DSP/Source/MatrixFunctions/arm_mat_trans_f32.c | 206 + .../DSP/Source/MatrixFunctions/arm_mat_trans_q15.c | 272 + .../DSP/Source/MatrixFunctions/arm_mat_trans_q31.c | 198 + .../DSP/Source/StatisticsFunctions/arm_max_f32.c | 170 + .../DSP/Source/StatisticsFunctions/arm_max_q15.c | 162 + .../DSP/Source/StatisticsFunctions/arm_max_q31.c | 162 + .../DSP/Source/StatisticsFunctions/arm_max_q7.c | 162 + .../DSP/Source/StatisticsFunctions/arm_mean_f32.c | 125 + .../DSP/Source/StatisticsFunctions/arm_mean_q15.c | 120 + .../DSP/Source/StatisticsFunctions/arm_mean_q31.c | 123 + .../DSP/Source/StatisticsFunctions/arm_mean_q7.c | 120 + .../DSP/Source/StatisticsFunctions/arm_min_f32.c | 170 + .../DSP/Source/StatisticsFunctions/arm_min_q15.c | 163 + .../DSP/Source/StatisticsFunctions/arm_min_q31.c | 163 + .../DSP/Source/StatisticsFunctions/arm_min_q7.c | 163 + .../DSP/Source/StatisticsFunctions/arm_power_f32.c | 129 + .../DSP/Source/StatisticsFunctions/arm_power_q15.c | 138 + .../DSP/Source/StatisticsFunctions/arm_power_q31.c | 129 + .../DSP/Source/StatisticsFunctions/arm_power_q7.c | 127 + .../DSP/Source/StatisticsFunctions/arm_rms_f32.c | 127 + .../DSP/Source/StatisticsFunctions/arm_rms_q15.c | 139 + .../DSP/Source/StatisticsFunctions/arm_rms_q31.c | 137 + .../DSP/Source/StatisticsFunctions/arm_std_f32.c | 186 + .../DSP/Source/StatisticsFunctions/arm_std_q15.c | 174 + .../DSP/Source/StatisticsFunctions/arm_std_q31.c | 169 + .../DSP/Source/StatisticsFunctions/arm_var_f32.c | 181 + .../DSP/Source/StatisticsFunctions/arm_var_q15.c | 172 + .../DSP/Source/StatisticsFunctions/arm_var_q31.c | 169 + .../DSP/Source/SupportFunctions/arm_copy_f32.c | 123 + .../DSP/Source/SupportFunctions/arm_copy_q15.c | 102 + .../DSP/Source/SupportFunctions/arm_copy_q31.c | 111 + .../DSP/Source/SupportFunctions/arm_copy_q7.c | 103 + .../DSP/Source/SupportFunctions/arm_fill_f32.c | 122 + .../DSP/Source/SupportFunctions/arm_fill_q15.c | 108 + .../DSP/Source/SupportFunctions/arm_fill_q31.c | 109 + .../DSP/Source/SupportFunctions/arm_fill_q7.c | 106 + .../DSP/Source/SupportFunctions/arm_float_to_q15.c | 192 + .../DSP/Source/SupportFunctions/arm_float_to_q31.c | 199 + .../DSP/Source/SupportFunctions/arm_float_to_q7.c | 191 + .../DSP/Source/SupportFunctions/arm_q15_to_float.c | 122 + .../DSP/Source/SupportFunctions/arm_q15_to_q31.c | 144 + .../DSP/Source/SupportFunctions/arm_q15_to_q7.c | 142 + .../DSP/Source/SupportFunctions/arm_q31_to_float.c | 119 + .../DSP/Source/SupportFunctions/arm_q31_to_q15.c | 133 + .../DSP/Source/SupportFunctions/arm_q31_to_q7.c | 124 + .../DSP/Source/SupportFunctions/arm_q7_to_float.c | 119 + .../DSP/Source/SupportFunctions/arm_q7_to_q15.c | 145 + .../DSP/Source/SupportFunctions/arm_q7_to_q31.c | 130 + .../Source/TransformFunctions/arm_bitreversal.c | 230 + .../Source/TransformFunctions/arm_bitreversal2.S | 216 + .../DSP/Source/TransformFunctions/arm_cfft_f32.c | 620 + .../DSP/Source/TransformFunctions/arm_cfft_q15.c | 345 + .../DSP/Source/TransformFunctions/arm_cfft_q31.c | 252 + .../TransformFunctions/arm_cfft_radix2_f32.c | 472 + .../TransformFunctions/arm_cfft_radix2_init_f32.c | 192 + .../TransformFunctions/arm_cfft_radix2_init_q15.c | 177 + .../TransformFunctions/arm_cfft_radix2_init_q31.c | 174 + .../TransformFunctions/arm_cfft_radix2_q15.c | 729 + .../TransformFunctions/arm_cfft_radix2_q31.c | 338 + .../TransformFunctions/arm_cfft_radix4_f32.c | 1209 + .../TransformFunctions/arm_cfft_radix4_init_f32.c | 152 + .../TransformFunctions/arm_cfft_radix4_init_q15.c | 140 + .../TransformFunctions/arm_cfft_radix4_init_q31.c | 136 + .../TransformFunctions/arm_cfft_radix4_q15.c | 1910 ++ .../TransformFunctions/arm_cfft_radix4_q31.c | 1389 ++ .../TransformFunctions/arm_cfft_radix8_f32.c | 285 + .../DSP/Source/TransformFunctions/arm_dct4_f32.c | 449 + .../Source/TransformFunctions/arm_dct4_init_f32.c | 16513 ++++++++++++++ .../Source/TransformFunctions/arm_dct4_init_q15.c | 4280 ++++ .../Source/TransformFunctions/arm_dct4_init_q31.c | 7686 +++++++ .../DSP/Source/TransformFunctions/arm_dct4_q15.c | 382 + .../DSP/Source/TransformFunctions/arm_dct4_q31.c | 383 + .../DSP/Source/TransformFunctions/arm_rfft_f32.c | 318 + .../Source/TransformFunctions/arm_rfft_fast_f32.c | 317 + .../TransformFunctions/arm_rfft_fast_init_f32.c | 131 + .../Source/TransformFunctions/arm_rfft_init_f32.c | 4273 ++++ .../Source/TransformFunctions/arm_rfft_init_q15.c | 2229 ++ .../Source/TransformFunctions/arm_rfft_init_q31.c | 4280 ++++ .../DSP/Source/TransformFunctions/arm_rfft_q15.c | 426 + .../DSP/Source/TransformFunctions/arm_rfft_q31.c | 283 + 272 files changed, 137184 insertions(+) create mode 100644 fw/hid-dials/Drivers/CMSIS/DSP/Source/BasicMathFunctions/arm_abs_f32.c create mode 100644 fw/hid-dials/Drivers/CMSIS/DSP/Source/BasicMathFunctions/arm_abs_q15.c create mode 100644 fw/hid-dials/Drivers/CMSIS/DSP/Source/BasicMathFunctions/arm_abs_q31.c create mode 100644 fw/hid-dials/Drivers/CMSIS/DSP/Source/BasicMathFunctions/arm_abs_q7.c create mode 100644 fw/hid-dials/Drivers/CMSIS/DSP/Source/BasicMathFunctions/arm_add_f32.c create mode 100644 fw/hid-dials/Drivers/CMSIS/DSP/Source/BasicMathFunctions/arm_add_q15.c create mode 100644 fw/hid-dials/Drivers/CMSIS/DSP/Source/BasicMathFunctions/arm_add_q31.c create mode 100644 fw/hid-dials/Drivers/CMSIS/DSP/Source/BasicMathFunctions/arm_add_q7.c create mode 100644 fw/hid-dials/Drivers/CMSIS/DSP/Source/BasicMathFunctions/arm_dot_prod_f32.c create mode 100644 fw/hid-dials/Drivers/CMSIS/DSP/Source/BasicMathFunctions/arm_dot_prod_q15.c create mode 100644 fw/hid-dials/Drivers/CMSIS/DSP/Source/BasicMathFunctions/arm_dot_prod_q31.c create mode 100644 fw/hid-dials/Drivers/CMSIS/DSP/Source/BasicMathFunctions/arm_dot_prod_q7.c create mode 100644 fw/hid-dials/Drivers/CMSIS/DSP/Source/BasicMathFunctions/arm_mult_f32.c create mode 100644 fw/hid-dials/Drivers/CMSIS/DSP/Source/BasicMathFunctions/arm_mult_q15.c create mode 100644 fw/hid-dials/Drivers/CMSIS/DSP/Source/BasicMathFunctions/arm_mult_q31.c create mode 100644 fw/hid-dials/Drivers/CMSIS/DSP/Source/BasicMathFunctions/arm_mult_q7.c create mode 100644 fw/hid-dials/Drivers/CMSIS/DSP/Source/BasicMathFunctions/arm_negate_f32.c create mode 100644 fw/hid-dials/Drivers/CMSIS/DSP/Source/BasicMathFunctions/arm_negate_q15.c create mode 100644 fw/hid-dials/Drivers/CMSIS/DSP/Source/BasicMathFunctions/arm_negate_q31.c create mode 100644 fw/hid-dials/Drivers/CMSIS/DSP/Source/BasicMathFunctions/arm_negate_q7.c create mode 100644 fw/hid-dials/Drivers/CMSIS/DSP/Source/BasicMathFunctions/arm_offset_f32.c create mode 100644 fw/hid-dials/Drivers/CMSIS/DSP/Source/BasicMathFunctions/arm_offset_q15.c create mode 100644 fw/hid-dials/Drivers/CMSIS/DSP/Source/BasicMathFunctions/arm_offset_q31.c create mode 100644 fw/hid-dials/Drivers/CMSIS/DSP/Source/BasicMathFunctions/arm_offset_q7.c create mode 100644 fw/hid-dials/Drivers/CMSIS/DSP/Source/BasicMathFunctions/arm_scale_f32.c create mode 100644 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100644 fw/hid-dials/Drivers/CMSIS/DSP/Source/SupportFunctions/arm_q7_to_q15.c create mode 100644 fw/hid-dials/Drivers/CMSIS/DSP/Source/SupportFunctions/arm_q7_to_q31.c create mode 100644 fw/hid-dials/Drivers/CMSIS/DSP/Source/TransformFunctions/arm_bitreversal.c create mode 100644 fw/hid-dials/Drivers/CMSIS/DSP/Source/TransformFunctions/arm_bitreversal2.S create mode 100644 fw/hid-dials/Drivers/CMSIS/DSP/Source/TransformFunctions/arm_cfft_f32.c create mode 100644 fw/hid-dials/Drivers/CMSIS/DSP/Source/TransformFunctions/arm_cfft_q15.c create mode 100644 fw/hid-dials/Drivers/CMSIS/DSP/Source/TransformFunctions/arm_cfft_q31.c create mode 100644 fw/hid-dials/Drivers/CMSIS/DSP/Source/TransformFunctions/arm_cfft_radix2_f32.c create mode 100644 fw/hid-dials/Drivers/CMSIS/DSP/Source/TransformFunctions/arm_cfft_radix2_init_f32.c create mode 100644 fw/hid-dials/Drivers/CMSIS/DSP/Source/TransformFunctions/arm_cfft_radix2_init_q15.c create mode 100644 fw/hid-dials/Drivers/CMSIS/DSP/Source/TransformFunctions/arm_cfft_radix2_init_q31.c create mode 100644 fw/hid-dials/Drivers/CMSIS/DSP/Source/TransformFunctions/arm_cfft_radix2_q15.c create mode 100644 fw/hid-dials/Drivers/CMSIS/DSP/Source/TransformFunctions/arm_cfft_radix2_q31.c create mode 100644 fw/hid-dials/Drivers/CMSIS/DSP/Source/TransformFunctions/arm_cfft_radix4_f32.c create mode 100644 fw/hid-dials/Drivers/CMSIS/DSP/Source/TransformFunctions/arm_cfft_radix4_init_f32.c create mode 100644 fw/hid-dials/Drivers/CMSIS/DSP/Source/TransformFunctions/arm_cfft_radix4_init_q15.c create mode 100644 fw/hid-dials/Drivers/CMSIS/DSP/Source/TransformFunctions/arm_cfft_radix4_init_q31.c create mode 100644 fw/hid-dials/Drivers/CMSIS/DSP/Source/TransformFunctions/arm_cfft_radix4_q15.c create mode 100644 fw/hid-dials/Drivers/CMSIS/DSP/Source/TransformFunctions/arm_cfft_radix4_q31.c create mode 100644 fw/hid-dials/Drivers/CMSIS/DSP/Source/TransformFunctions/arm_cfft_radix8_f32.c create mode 100644 fw/hid-dials/Drivers/CMSIS/DSP/Source/TransformFunctions/arm_dct4_f32.c create mode 100644 fw/hid-dials/Drivers/CMSIS/DSP/Source/TransformFunctions/arm_dct4_init_f32.c create mode 100644 fw/hid-dials/Drivers/CMSIS/DSP/Source/TransformFunctions/arm_dct4_init_q15.c create mode 100644 fw/hid-dials/Drivers/CMSIS/DSP/Source/TransformFunctions/arm_dct4_init_q31.c create mode 100644 fw/hid-dials/Drivers/CMSIS/DSP/Source/TransformFunctions/arm_dct4_q15.c create mode 100644 fw/hid-dials/Drivers/CMSIS/DSP/Source/TransformFunctions/arm_dct4_q31.c create mode 100644 fw/hid-dials/Drivers/CMSIS/DSP/Source/TransformFunctions/arm_rfft_f32.c create mode 100644 fw/hid-dials/Drivers/CMSIS/DSP/Source/TransformFunctions/arm_rfft_fast_f32.c create mode 100644 fw/hid-dials/Drivers/CMSIS/DSP/Source/TransformFunctions/arm_rfft_fast_init_f32.c create mode 100644 fw/hid-dials/Drivers/CMSIS/DSP/Source/TransformFunctions/arm_rfft_init_f32.c create mode 100644 fw/hid-dials/Drivers/CMSIS/DSP/Source/TransformFunctions/arm_rfft_init_q15.c create mode 100644 fw/hid-dials/Drivers/CMSIS/DSP/Source/TransformFunctions/arm_rfft_init_q31.c create mode 100644 fw/hid-dials/Drivers/CMSIS/DSP/Source/TransformFunctions/arm_rfft_q15.c create mode 100644 fw/hid-dials/Drivers/CMSIS/DSP/Source/TransformFunctions/arm_rfft_q31.c (limited to 'fw/hid-dials/Drivers/CMSIS/DSP/Source') diff --git a/fw/hid-dials/Drivers/CMSIS/DSP/Source/BasicMathFunctions/arm_abs_f32.c b/fw/hid-dials/Drivers/CMSIS/DSP/Source/BasicMathFunctions/arm_abs_f32.c new file mode 100644 index 0000000..69b2bfc --- /dev/null +++ b/fw/hid-dials/Drivers/CMSIS/DSP/Source/BasicMathFunctions/arm_abs_f32.c @@ -0,0 +1,153 @@ +/* ---------------------------------------------------------------------- + * Project: CMSIS DSP Library + * Title: arm_abs_f32.c + * Description: Floating-point vector absolute value + * + * $Date: 27. January 2017 + * $Revision: V.1.5.1 + * + * Target Processor: Cortex-M cores + * -------------------------------------------------------------------- */ +/* + * Copyright (C) 2010-2017 ARM Limited or its affiliates. All rights reserved. + * + * SPDX-License-Identifier: Apache-2.0 + * + * Licensed under the Apache License, Version 2.0 (the License); you may + * not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an AS IS BASIS, WITHOUT + * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ + +#include "arm_math.h" +#include + +/** + * @ingroup groupMath + */ + +/** + * @defgroup BasicAbs Vector Absolute Value + * + * Computes the absolute value of a vector on an element-by-element basis. + * + *
+ *     pDst[n] = abs(pSrc[n]),   0 <= n < blockSize.
+ * 
+ * + * The functions support in-place computation allowing the source and + * destination pointers to reference the same memory buffer. + * There are separate functions for floating-point, Q7, Q15, and Q31 data types. + */ + +/** + * @addtogroup BasicAbs + * @{ + */ + +/** + * @brief Floating-point vector absolute value. + * @param[in] *pSrc points to the input buffer + * @param[out] *pDst points to the output buffer + * @param[in] blockSize number of samples in each vector + * @return none. + */ + +void arm_abs_f32( + float32_t * pSrc, + float32_t * pDst, + uint32_t blockSize) +{ + uint32_t blkCnt; /* loop counter */ + +#if defined (ARM_MATH_DSP) + + /* Run the below code for Cortex-M4 and Cortex-M3 */ + float32_t in1, in2, in3, in4; /* temporary variables */ + + /*loop Unrolling */ + blkCnt = blockSize >> 2U; + + /* First part of the processing with loop unrolling. Compute 4 outputs at a time. + ** a second loop below computes the remaining 1 to 3 samples. */ + while (blkCnt > 0U) + { + /* C = |A| */ + /* Calculate absolute and then store the results in the destination buffer. */ + /* read sample from source */ + in1 = *pSrc; + in2 = *(pSrc + 1); + in3 = *(pSrc + 2); + + /* find absolute value */ + in1 = fabsf(in1); + + /* read sample from source */ + in4 = *(pSrc + 3); + + /* find absolute value */ + in2 = fabsf(in2); + + /* read sample from source */ + *pDst = in1; + + /* find absolute value */ + in3 = fabsf(in3); + + /* find absolute value */ + in4 = fabsf(in4); + + /* store result to destination */ + *(pDst + 1) = in2; + + /* store result to destination */ + *(pDst + 2) = in3; + + /* store result to destination */ + *(pDst + 3) = in4; + + + /* Update source pointer to process next sampels */ + pSrc += 4U; + + /* Update destination pointer to process next sampels */ + pDst += 4U; + + /* Decrement the loop counter */ + blkCnt--; + } + + /* If the blockSize is not a multiple of 4, compute any remaining output samples here. + ** No loop unrolling is used. */ + blkCnt = blockSize % 0x4U; + +#else + + /* Run the below code for Cortex-M0 */ + + /* Initialize blkCnt with number of samples */ + blkCnt = blockSize; + +#endif /* #if defined (ARM_MATH_DSP) */ + + while (blkCnt > 0U) + { + /* C = |A| */ + /* Calculate absolute and then store the results in the destination buffer. */ + *pDst++ = fabsf(*pSrc++); + + /* Decrement the loop counter */ + blkCnt--; + } +} + +/** + * @} end of BasicAbs group + */ diff --git a/fw/hid-dials/Drivers/CMSIS/DSP/Source/BasicMathFunctions/arm_abs_q15.c b/fw/hid-dials/Drivers/CMSIS/DSP/Source/BasicMathFunctions/arm_abs_q15.c new file mode 100644 index 0000000..4bed8cc --- /dev/null +++ b/fw/hid-dials/Drivers/CMSIS/DSP/Source/BasicMathFunctions/arm_abs_q15.c @@ -0,0 +1,167 @@ +/* ---------------------------------------------------------------------- + * Project: CMSIS DSP Library + * Title: arm_abs_q15.c + * Description: Q15 vector absolute value + * + * $Date: 27. January 2017 + * $Revision: V.1.5.1 + * + * Target Processor: Cortex-M cores + * -------------------------------------------------------------------- */ +/* + * Copyright (C) 2010-2017 ARM Limited or its affiliates. All rights reserved. + * + * SPDX-License-Identifier: Apache-2.0 + * + * Licensed under the Apache License, Version 2.0 (the License); you may + * not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an AS IS BASIS, WITHOUT + * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ + +#include "arm_math.h" + +/** + * @ingroup groupMath + */ + +/** + * @addtogroup BasicAbs + * @{ + */ + +/** + * @brief Q15 vector absolute value. + * @param[in] *pSrc points to the input buffer + * @param[out] *pDst points to the output buffer + * @param[in] blockSize number of samples in each vector + * @return none. + * + * Scaling and Overflow Behavior: + * \par + * The function uses saturating arithmetic. + * The Q15 value -1 (0x8000) will be saturated to the maximum allowable positive value 0x7FFF. + */ + +void arm_abs_q15( + q15_t * pSrc, + q15_t * pDst, + uint32_t blockSize) +{ + uint32_t blkCnt; /* loop counter */ + +#if defined (ARM_MATH_DSP) + __SIMD32_TYPE *simd; + +/* Run the below code for Cortex-M4 and Cortex-M3 */ + + q15_t in1; /* Input value1 */ + q15_t in2; /* Input value2 */ + + + /*loop Unrolling */ + blkCnt = blockSize >> 2U; + + /* First part of the processing with loop unrolling. Compute 4 outputs at a time. + ** a second loop below computes the remaining 1 to 3 samples. */ + simd = __SIMD32_CONST(pDst); + while (blkCnt > 0U) + { + /* C = |A| */ + /* Read two inputs */ + in1 = *pSrc++; + in2 = *pSrc++; + + + /* Store the Absolute result in the destination buffer by packing the two values, in a single cycle */ +#ifndef ARM_MATH_BIG_ENDIAN + *simd++ = + __PKHBT(((in1 > 0) ? in1 : (q15_t)__QSUB16(0, in1)), + ((in2 > 0) ? in2 : (q15_t)__QSUB16(0, in2)), 16); + +#else + + + *simd++ = + __PKHBT(((in2 > 0) ? in2 : (q15_t)__QSUB16(0, in2)), + ((in1 > 0) ? in1 : (q15_t)__QSUB16(0, in1)), 16); + +#endif /* #ifndef ARM_MATH_BIG_ENDIAN */ + + in1 = *pSrc++; + in2 = *pSrc++; + + +#ifndef ARM_MATH_BIG_ENDIAN + + *simd++ = + __PKHBT(((in1 > 0) ? in1 : (q15_t)__QSUB16(0, in1)), + ((in2 > 0) ? in2 : (q15_t)__QSUB16(0, in2)), 16); + +#else + + + *simd++ = + __PKHBT(((in2 > 0) ? in2 : (q15_t)__QSUB16(0, in2)), + ((in1 > 0) ? in1 : (q15_t)__QSUB16(0, in1)), 16); + +#endif /* #ifndef ARM_MATH_BIG_ENDIAN */ + + /* Decrement the loop counter */ + blkCnt--; + } + pDst = (q15_t *)simd; + + /* If the blockSize is not a multiple of 4, compute any remaining output samples here. + ** No loop unrolling is used. */ + blkCnt = blockSize % 0x4U; + + while (blkCnt > 0U) + { + /* C = |A| */ + /* Read the input */ + in1 = *pSrc++; + + /* Calculate absolute value of input and then store the result in the destination buffer. */ + *pDst++ = (in1 > 0) ? in1 : (q15_t)__QSUB16(0, in1); + + /* Decrement the loop counter */ + blkCnt--; + } + +#else + + /* Run the below code for Cortex-M0 */ + + q15_t in; /* Temporary input variable */ + + /* Initialize blkCnt with number of samples */ + blkCnt = blockSize; + + while (blkCnt > 0U) + { + /* C = |A| */ + /* Read the input */ + in = *pSrc++; + + /* Calculate absolute value of input and then store the result in the destination buffer. */ + *pDst++ = (in > 0) ? in : ((in == (q15_t) 0x8000) ? 0x7fff : -in); + + /* Decrement the loop counter */ + blkCnt--; + } + +#endif /* #if defined (ARM_MATH_DSP) */ + +} + +/** + * @} end of BasicAbs group + */ diff --git a/fw/hid-dials/Drivers/CMSIS/DSP/Source/BasicMathFunctions/arm_abs_q31.c b/fw/hid-dials/Drivers/CMSIS/DSP/Source/BasicMathFunctions/arm_abs_q31.c new file mode 100644 index 0000000..25cd036 --- /dev/null +++ b/fw/hid-dials/Drivers/CMSIS/DSP/Source/BasicMathFunctions/arm_abs_q31.c @@ -0,0 +1,118 @@ +/* ---------------------------------------------------------------------- + * Project: CMSIS DSP Library + * Title: arm_abs_q31.c + * Description: Q31 vector absolute value + * + * $Date: 27. January 2017 + * $Revision: V.1.5.1 + * + * Target Processor: Cortex-M cores + * -------------------------------------------------------------------- */ +/* + * Copyright (C) 2010-2017 ARM Limited or its affiliates. All rights reserved. + * + * SPDX-License-Identifier: Apache-2.0 + * + * Licensed under the Apache License, Version 2.0 (the License); you may + * not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an AS IS BASIS, WITHOUT + * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ + +#include "arm_math.h" + +/** + * @ingroup groupMath + */ + +/** + * @addtogroup BasicAbs + * @{ + */ + + +/** + * @brief Q31 vector absolute value. + * @param[in] *pSrc points to the input buffer + * @param[out] *pDst points to the output buffer + * @param[in] blockSize number of samples in each vector + * @return none. + * + * Scaling and Overflow Behavior: + * \par + * The function uses saturating arithmetic. + * The Q31 value -1 (0x80000000) will be saturated to the maximum allowable positive value 0x7FFFFFFF. + */ + +void arm_abs_q31( + q31_t * pSrc, + q31_t * pDst, + uint32_t blockSize) +{ + uint32_t blkCnt; /* loop counter */ + q31_t in; /* Input value */ + +#if defined (ARM_MATH_DSP) + + /* Run the below code for Cortex-M4 and Cortex-M3 */ + q31_t in1, in2, in3, in4; + + /*loop Unrolling */ + blkCnt = blockSize >> 2U; + + /* First part of the processing with loop unrolling. Compute 4 outputs at a time. + ** a second loop below computes the remaining 1 to 3 samples. */ + while (blkCnt > 0U) + { + /* C = |A| */ + /* Calculate absolute of input (if -1 then saturated to 0x7fffffff) and then store the results in the destination buffer. */ + in1 = *pSrc++; + in2 = *pSrc++; + in3 = *pSrc++; + in4 = *pSrc++; + + *pDst++ = (in1 > 0) ? in1 : (q31_t)__QSUB(0, in1); + *pDst++ = (in2 > 0) ? in2 : (q31_t)__QSUB(0, in2); + *pDst++ = (in3 > 0) ? in3 : (q31_t)__QSUB(0, in3); + *pDst++ = (in4 > 0) ? in4 : (q31_t)__QSUB(0, in4); + + /* Decrement the loop counter */ + blkCnt--; + } + + /* If the blockSize is not a multiple of 4, compute any remaining output samples here. + ** No loop unrolling is used. */ + blkCnt = blockSize % 0x4U; + +#else + + /* Run the below code for Cortex-M0 */ + + /* Initialize blkCnt with number of samples */ + blkCnt = blockSize; + +#endif /* #if defined (ARM_MATH_DSP) */ + + while (blkCnt > 0U) + { + /* C = |A| */ + /* Calculate absolute value of the input (if -1 then saturated to 0x7fffffff) and then store the results in the destination buffer. */ + in = *pSrc++; + *pDst++ = (in > 0) ? in : ((in == INT32_MIN) ? INT32_MAX : -in); + + /* Decrement the loop counter */ + blkCnt--; + } + +} + +/** + * @} end of BasicAbs group + */ diff --git a/fw/hid-dials/Drivers/CMSIS/DSP/Source/BasicMathFunctions/arm_abs_q7.c b/fw/hid-dials/Drivers/CMSIS/DSP/Source/BasicMathFunctions/arm_abs_q7.c new file mode 100644 index 0000000..1ab2a1c --- /dev/null +++ b/fw/hid-dials/Drivers/CMSIS/DSP/Source/BasicMathFunctions/arm_abs_q7.c @@ -0,0 +1,145 @@ +/* ---------------------------------------------------------------------- + * Project: CMSIS DSP Library + * Title: arm_abs_q7.c + * Description: Q7 vector absolute value + * + * $Date: 27. January 2017 + * $Revision: V.1.5.1 + * + * Target Processor: Cortex-M cores + * -------------------------------------------------------------------- */ +/* + * Copyright (C) 2010-2017 ARM Limited or its affiliates. All rights reserved. + * + * SPDX-License-Identifier: Apache-2.0 + * + * Licensed under the Apache License, Version 2.0 (the License); you may + * not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an AS IS BASIS, WITHOUT + * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ + +#include "arm_math.h" + +/** + * @ingroup groupMath + */ + +/** + * @addtogroup BasicAbs + * @{ + */ + +/** + * @brief Q7 vector absolute value. + * @param[in] *pSrc points to the input buffer + * @param[out] *pDst points to the output buffer + * @param[in] blockSize number of samples in each vector + * @return none. + * + * \par Conditions for optimum performance + * Input and output buffers should be aligned by 32-bit + * + * + * Scaling and Overflow Behavior: + * \par + * The function uses saturating arithmetic. + * The Q7 value -1 (0x80) will be saturated to the maximum allowable positive value 0x7F. + */ + +void arm_abs_q7( + q7_t * pSrc, + q7_t * pDst, + uint32_t blockSize) +{ + uint32_t blkCnt; /* loop counter */ + q7_t in; /* Input value1 */ + +#if defined (ARM_MATH_DSP) + + /* Run the below code for Cortex-M4 and Cortex-M3 */ + q31_t in1, in2, in3, in4; /* temporary input variables */ + q31_t out1, out2, out3, out4; /* temporary output variables */ + + /*loop Unrolling */ + blkCnt = blockSize >> 2U; + + /* First part of the processing with loop unrolling. Compute 4 outputs at a time. + ** a second loop below computes the remaining 1 to 3 samples. */ + while (blkCnt > 0U) + { + /* C = |A| */ + /* Read inputs */ + in1 = (q31_t) * pSrc; + in2 = (q31_t) * (pSrc + 1); + in3 = (q31_t) * (pSrc + 2); + + /* find absolute value */ + out1 = (in1 > 0) ? in1 : (q31_t)__QSUB8(0, in1); + + /* read input */ + in4 = (q31_t) * (pSrc + 3); + + /* find absolute value */ + out2 = (in2 > 0) ? in2 : (q31_t)__QSUB8(0, in2); + + /* store result to destination */ + *pDst = (q7_t) out1; + + /* find absolute value */ + out3 = (in3 > 0) ? in3 : (q31_t)__QSUB8(0, in3); + + /* find absolute value */ + out4 = (in4 > 0) ? in4 : (q31_t)__QSUB8(0, in4); + + /* store result to destination */ + *(pDst + 1) = (q7_t) out2; + + /* store result to destination */ + *(pDst + 2) = (q7_t) out3; + + /* store result to destination */ + *(pDst + 3) = (q7_t) out4; + + /* update pointers to process next samples */ + pSrc += 4U; + pDst += 4U; + + /* Decrement the loop counter */ + blkCnt--; + } + + /* If the blockSize is not a multiple of 4, compute any remaining output samples here. + ** No loop unrolling is used. */ + blkCnt = blockSize % 0x4U; +#else + + /* Run the below code for Cortex-M0 */ + blkCnt = blockSize; + +#endif /* #define ARM_MATH_CM0_FAMILY */ + + while (blkCnt > 0U) + { + /* C = |A| */ + /* Read the input */ + in = *pSrc++; + + /* Store the Absolute result in the destination buffer */ + *pDst++ = (in > 0) ? in : ((in == (q7_t) 0x80) ? 0x7f : -in); + + /* Decrement the loop counter */ + blkCnt--; + } +} + +/** + * @} end of BasicAbs group + */ diff --git a/fw/hid-dials/Drivers/CMSIS/DSP/Source/BasicMathFunctions/arm_add_f32.c b/fw/hid-dials/Drivers/CMSIS/DSP/Source/BasicMathFunctions/arm_add_f32.c new file mode 100644 index 0000000..4d1ac4d --- /dev/null +++ b/fw/hid-dials/Drivers/CMSIS/DSP/Source/BasicMathFunctions/arm_add_f32.c @@ -0,0 +1,138 @@ +/* ---------------------------------------------------------------------- + * Project: CMSIS DSP Library + * Title: arm_add_f32.c + * Description: Floating-point vector addition + * + * $Date: 27. January 2017 + * $Revision: V.1.5.1 + * + * Target Processor: Cortex-M cores + * -------------------------------------------------------------------- */ +/* + * Copyright (C) 2010-2017 ARM Limited or its affiliates. All rights reserved. + * + * SPDX-License-Identifier: Apache-2.0 + * + * Licensed under the Apache License, Version 2.0 (the License); you may + * not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an AS IS BASIS, WITHOUT + * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ + +#include "arm_math.h" + +/** + * @ingroup groupMath + */ + +/** + * @defgroup BasicAdd Vector Addition + * + * Element-by-element addition of two vectors. + * + *
+ *     pDst[n] = pSrcA[n] + pSrcB[n],   0 <= n < blockSize.
+ * 
+ * + * There are separate functions for floating-point, Q7, Q15, and Q31 data types. + */ + +/** + * @addtogroup BasicAdd + * @{ + */ + +/** + * @brief Floating-point vector addition. + * @param[in] *pSrcA points to the first input vector + * @param[in] *pSrcB points to the second input vector + * @param[out] *pDst points to the output vector + * @param[in] blockSize number of samples in each vector + * @return none. + */ + +void arm_add_f32( + float32_t * pSrcA, + float32_t * pSrcB, + float32_t * pDst, + uint32_t blockSize) +{ + uint32_t blkCnt; /* loop counter */ + +#if defined (ARM_MATH_DSP) + +/* Run the below code for Cortex-M4 and Cortex-M3 */ + float32_t inA1, inA2, inA3, inA4; /* temporary input variabels */ + float32_t inB1, inB2, inB3, inB4; /* temporary input variables */ + + /*loop Unrolling */ + blkCnt = blockSize >> 2U; + + /* First part of the processing with loop unrolling. Compute 4 outputs at a time. + ** a second loop below computes the remaining 1 to 3 samples. */ + while (blkCnt > 0U) + { + /* C = A + B */ + /* Add and then store the results in the destination buffer. */ + + /* read four inputs from sourceA and four inputs from sourceB */ + inA1 = *pSrcA; + inB1 = *pSrcB; + inA2 = *(pSrcA + 1); + inB2 = *(pSrcB + 1); + inA3 = *(pSrcA + 2); + inB3 = *(pSrcB + 2); + inA4 = *(pSrcA + 3); + inB4 = *(pSrcB + 3); + + /* C = A + B */ + /* add and store result to destination */ + *pDst = inA1 + inB1; + *(pDst + 1) = inA2 + inB2; + *(pDst + 2) = inA3 + inB3; + *(pDst + 3) = inA4 + inB4; + + /* update pointers to process next samples */ + pSrcA += 4U; + pSrcB += 4U; + pDst += 4U; + + + /* Decrement the loop counter */ + blkCnt--; + } + + /* If the blockSize is not a multiple of 4, compute any remaining output samples here. + ** No loop unrolling is used. */ + blkCnt = blockSize % 0x4U; + +#else + + /* Run the below code for Cortex-M0 */ + + /* Initialize blkCnt with number of samples */ + blkCnt = blockSize; + +#endif /* #if defined (ARM_MATH_DSP) */ + + while (blkCnt > 0U) + { + /* C = A + B */ + /* Add and then store the results in the destination buffer. */ + *pDst++ = (*pSrcA++) + (*pSrcB++); + + /* Decrement the loop counter */ + blkCnt--; + } +} + +/** + * @} end of BasicAdd group + */ diff --git a/fw/hid-dials/Drivers/CMSIS/DSP/Source/BasicMathFunctions/arm_add_q15.c b/fw/hid-dials/Drivers/CMSIS/DSP/Source/BasicMathFunctions/arm_add_q15.c new file mode 100644 index 0000000..2a14c29 --- /dev/null +++ b/fw/hid-dials/Drivers/CMSIS/DSP/Source/BasicMathFunctions/arm_add_q15.c @@ -0,0 +1,128 @@ +/* ---------------------------------------------------------------------- + * Project: CMSIS DSP Library + * Title: arm_add_q15.c + * Description: Q15 vector addition + * + * $Date: 27. January 2017 + * $Revision: V.1.5.1 + * + * Target Processor: Cortex-M cores + * -------------------------------------------------------------------- */ +/* + * Copyright (C) 2010-2017 ARM Limited or its affiliates. All rights reserved. + * + * SPDX-License-Identifier: Apache-2.0 + * + * Licensed under the Apache License, Version 2.0 (the License); you may + * not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an AS IS BASIS, WITHOUT + * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ + +#include "arm_math.h" + +/** + * @ingroup groupMath + */ + +/** + * @addtogroup BasicAdd + * @{ + */ + +/** + * @brief Q15 vector addition. + * @param[in] *pSrcA points to the first input vector + * @param[in] *pSrcB points to the second input vector + * @param[out] *pDst points to the output vector + * @param[in] blockSize number of samples in each vector + * @return none. + * + * Scaling and Overflow Behavior: + * \par + * The function uses saturating arithmetic. + * Results outside of the allowable Q15 range [0x8000 0x7FFF] will be saturated. + */ + +void arm_add_q15( + q15_t * pSrcA, + q15_t * pSrcB, + q15_t * pDst, + uint32_t blockSize) +{ + uint32_t blkCnt; /* loop counter */ + +#if defined (ARM_MATH_DSP) + +/* Run the below code for Cortex-M4 and Cortex-M3 */ + q31_t inA1, inA2, inB1, inB2; + + /*loop Unrolling */ + blkCnt = blockSize >> 2U; + + /* First part of the processing with loop unrolling. Compute 4 outputs at a time. + ** a second loop below computes the remaining 1 to 3 samples. */ + while (blkCnt > 0U) + { + /* C = A + B */ + /* Add and then store the results in the destination buffer. */ + inA1 = *__SIMD32(pSrcA)++; + inA2 = *__SIMD32(pSrcA)++; + inB1 = *__SIMD32(pSrcB)++; + inB2 = *__SIMD32(pSrcB)++; + + *__SIMD32(pDst)++ = __QADD16(inA1, inB1); + *__SIMD32(pDst)++ = __QADD16(inA2, inB2); + + /* Decrement the loop counter */ + blkCnt--; + } + + /* If the blockSize is not a multiple of 4, compute any remaining output samples here. + ** No loop unrolling is used. */ + blkCnt = blockSize % 0x4U; + + while (blkCnt > 0U) + { + /* C = A + B */ + /* Add and then store the results in the destination buffer. */ + *pDst++ = (q15_t) __QADD16(*pSrcA++, *pSrcB++); + + /* Decrement the loop counter */ + blkCnt--; + } + +#else + + /* Run the below code for Cortex-M0 */ + + + + /* Initialize blkCnt with number of samples */ + blkCnt = blockSize; + + while (blkCnt > 0U) + { + /* C = A + B */ + /* Add and then store the results in the destination buffer. */ + *pDst++ = (q15_t) __SSAT(((q31_t) * pSrcA++ + *pSrcB++), 16); + + /* Decrement the loop counter */ + blkCnt--; + } + +#endif /* #if defined (ARM_MATH_DSP) */ + + +} + +/** + * @} end of BasicAdd group + */ diff --git a/fw/hid-dials/Drivers/CMSIS/DSP/Source/BasicMathFunctions/arm_add_q31.c b/fw/hid-dials/Drivers/CMSIS/DSP/Source/BasicMathFunctions/arm_add_q31.c new file mode 100644 index 0000000..7503e1a --- /dev/null +++ b/fw/hid-dials/Drivers/CMSIS/DSP/Source/BasicMathFunctions/arm_add_q31.c @@ -0,0 +1,136 @@ +/* ---------------------------------------------------------------------- + * Project: CMSIS DSP Library + * Title: arm_add_q31.c + * Description: Q31 vector addition + * + * $Date: 27. January 2017 + * $Revision: V.1.5.1 + * + * Target Processor: Cortex-M cores + * -------------------------------------------------------------------- */ +/* + * Copyright (C) 2010-2017 ARM Limited or its affiliates. All rights reserved. + * + * SPDX-License-Identifier: Apache-2.0 + * + * Licensed under the Apache License, Version 2.0 (the License); you may + * not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an AS IS BASIS, WITHOUT + * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ + +#include "arm_math.h" + +/** + * @ingroup groupMath + */ + +/** + * @addtogroup BasicAdd + * @{ + */ + + +/** + * @brief Q31 vector addition. + * @param[in] *pSrcA points to the first input vector + * @param[in] *pSrcB points to the second input vector + * @param[out] *pDst points to the output vector + * @param[in] blockSize number of samples in each vector + * @return none. + * + * Scaling and Overflow Behavior: + * \par + * The function uses saturating arithmetic. + * Results outside of the allowable Q31 range[0x80000000 0x7FFFFFFF] will be saturated. + */ + +void arm_add_q31( + q31_t * pSrcA, + q31_t * pSrcB, + q31_t * pDst, + uint32_t blockSize) +{ + uint32_t blkCnt; /* loop counter */ + +#if defined (ARM_MATH_DSP) + +/* Run the below code for Cortex-M4 and Cortex-M3 */ + q31_t inA1, inA2, inA3, inA4; + q31_t inB1, inB2, inB3, inB4; + + /*loop Unrolling */ + blkCnt = blockSize >> 2U; + + /* First part of the processing with loop unrolling. Compute 4 outputs at a time. + ** a second loop below computes the remaining 1 to 3 samples. */ + while (blkCnt > 0U) + { + /* C = A + B */ + /* Add and then store the results in the destination buffer. */ + inA1 = *pSrcA++; + inA2 = *pSrcA++; + inB1 = *pSrcB++; + inB2 = *pSrcB++; + + inA3 = *pSrcA++; + inA4 = *pSrcA++; + inB3 = *pSrcB++; + inB4 = *pSrcB++; + + *pDst++ = __QADD(inA1, inB1); + *pDst++ = __QADD(inA2, inB2); + *pDst++ = __QADD(inA3, inB3); + *pDst++ = __QADD(inA4, inB4); + + /* Decrement the loop counter */ + blkCnt--; + } + + /* If the blockSize is not a multiple of 4, compute any remaining output samples here. + ** No loop unrolling is used. */ + blkCnt = blockSize % 0x4U; + + while (blkCnt > 0U) + { + /* C = A + B */ + /* Add and then store the results in the destination buffer. */ + *pDst++ = __QADD(*pSrcA++, *pSrcB++); + + /* Decrement the loop counter */ + blkCnt--; + } + +#else + + /* Run the below code for Cortex-M0 */ + + + + /* Initialize blkCnt with number of samples */ + blkCnt = blockSize; + + while (blkCnt > 0U) + { + /* C = A + B */ + /* Add and then store the results in the destination buffer. */ + *pDst++ = (q31_t) clip_q63_to_q31((q63_t) * pSrcA++ + *pSrcB++); + + /* Decrement the loop counter */ + blkCnt--; + } + +#endif /* #if defined (ARM_MATH_DSP) */ + +} + +/** + * @} end of BasicAdd group + */ diff --git a/fw/hid-dials/Drivers/CMSIS/DSP/Source/BasicMathFunctions/arm_add_q7.c b/fw/hid-dials/Drivers/CMSIS/DSP/Source/BasicMathFunctions/arm_add_q7.c new file mode 100644 index 0000000..fee1865 --- /dev/null +++ b/fw/hid-dials/Drivers/CMSIS/DSP/Source/BasicMathFunctions/arm_add_q7.c @@ -0,0 +1,122 @@ +/* ---------------------------------------------------------------------- + * Project: CMSIS DSP Library + * Title: arm_add_q7.c + * Description: Q7 vector addition + * + * $Date: 27. January 2017 + * $Revision: V.1.5.1 + * + * Target Processor: Cortex-M cores + * -------------------------------------------------------------------- */ +/* + * Copyright (C) 2010-2017 ARM Limited or its affiliates. All rights reserved. + * + * SPDX-License-Identifier: Apache-2.0 + * + * Licensed under the Apache License, Version 2.0 (the License); you may + * not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an AS IS BASIS, WITHOUT + * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ + +#include "arm_math.h" + +/** + * @ingroup groupMath + */ + +/** + * @addtogroup BasicAdd + * @{ + */ + +/** + * @brief Q7 vector addition. + * @param[in] *pSrcA points to the first input vector + * @param[in] *pSrcB points to the second input vector + * @param[out] *pDst points to the output vector + * @param[in] blockSize number of samples in each vector + * @return none. + * + * Scaling and Overflow Behavior: + * \par + * The function uses saturating arithmetic. + * Results outside of the allowable Q7 range [0x80 0x7F] will be saturated. + */ + +void arm_add_q7( + q7_t * pSrcA, + q7_t * pSrcB, + q7_t * pDst, + uint32_t blockSize) +{ + uint32_t blkCnt; /* loop counter */ + +#if defined (ARM_MATH_DSP) + +/* Run the below code for Cortex-M4 and Cortex-M3 */ + + + /*loop Unrolling */ + blkCnt = blockSize >> 2U; + + /* First part of the processing with loop unrolling. Compute 4 outputs at a time. + ** a second loop below computes the remaining 1 to 3 samples. */ + while (blkCnt > 0U) + { + /* C = A + B */ + /* Add and then store the results in the destination buffer. */ + *__SIMD32(pDst)++ = __QADD8(*__SIMD32(pSrcA)++, *__SIMD32(pSrcB)++); + + /* Decrement the loop counter */ + blkCnt--; + } + + /* If the blockSize is not a multiple of 4, compute any remaining output samples here. + ** No loop unrolling is used. */ + blkCnt = blockSize % 0x4U; + + while (blkCnt > 0U) + { + /* C = A + B */ + /* Add and then store the results in the destination buffer. */ + *pDst++ = (q7_t) __SSAT(*pSrcA++ + *pSrcB++, 8); + + /* Decrement the loop counter */ + blkCnt--; + } + +#else + + /* Run the below code for Cortex-M0 */ + + + + /* Initialize blkCnt with number of samples */ + blkCnt = blockSize; + + while (blkCnt > 0U) + { + /* C = A + B */ + /* Add and then store the results in the destination buffer. */ + *pDst++ = (q7_t) __SSAT((q15_t) * pSrcA++ + *pSrcB++, 8); + + /* Decrement the loop counter */ + blkCnt--; + } + +#endif /* #if defined (ARM_MATH_DSP) */ + + +} + +/** + * @} end of BasicAdd group + */ diff --git a/fw/hid-dials/Drivers/CMSIS/DSP/Source/BasicMathFunctions/arm_dot_prod_f32.c b/fw/hid-dials/Drivers/CMSIS/DSP/Source/BasicMathFunctions/arm_dot_prod_f32.c new file mode 100644 index 0000000..6c7aae1 --- /dev/null +++ b/fw/hid-dials/Drivers/CMSIS/DSP/Source/BasicMathFunctions/arm_dot_prod_f32.c @@ -0,0 +1,123 @@ +/* ---------------------------------------------------------------------- + * Project: CMSIS DSP Library + * Title: arm_dot_prod_f32.c + * Description: Floating-point dot product + * + * $Date: 27. January 2017 + * $Revision: V.1.5.1 + * + * Target Processor: Cortex-M cores + * -------------------------------------------------------------------- */ +/* + * Copyright (C) 2010-2017 ARM Limited or its affiliates. All rights reserved. + * + * SPDX-License-Identifier: Apache-2.0 + * + * Licensed under the Apache License, Version 2.0 (the License); you may + * not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an AS IS BASIS, WITHOUT + * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ + +#include "arm_math.h" + +/** + * @ingroup groupMath + */ + +/** + * @defgroup dot_prod Vector Dot Product + * + * Computes the dot product of two vectors. + * The vectors are multiplied element-by-element and then summed. + * + *
+ *     sum = pSrcA[0]*pSrcB[0] + pSrcA[1]*pSrcB[1] + ... + pSrcA[blockSize-1]*pSrcB[blockSize-1]
+ * 
+ * + * There are separate functions for floating-point, Q7, Q15, and Q31 data types. + */ + +/** + * @addtogroup dot_prod + * @{ + */ + +/** + * @brief Dot product of floating-point vectors. + * @param[in] *pSrcA points to the first input vector + * @param[in] *pSrcB points to the second input vector + * @param[in] blockSize number of samples in each vector + * @param[out] *result output result returned here + * @return none. + */ + + +void arm_dot_prod_f32( + float32_t * pSrcA, + float32_t * pSrcB, + uint32_t blockSize, + float32_t * result) +{ + float32_t sum = 0.0f; /* Temporary result storage */ + uint32_t blkCnt; /* loop counter */ + + +#if defined (ARM_MATH_DSP) + +/* Run the below code for Cortex-M4 and Cortex-M3 */ + /*loop Unrolling */ + blkCnt = blockSize >> 2U; + + /* First part of the processing with loop unrolling. Compute 4 outputs at a time. + ** a second loop below computes the remaining 1 to 3 samples. */ + while (blkCnt > 0U) + { + /* C = A[0]* B[0] + A[1]* B[1] + A[2]* B[2] + .....+ A[blockSize-1]* B[blockSize-1] */ + /* Calculate dot product and then store the result in a temporary buffer */ + sum += (*pSrcA++) * (*pSrcB++); + sum += (*pSrcA++) * (*pSrcB++); + sum += (*pSrcA++) * (*pSrcB++); + sum += (*pSrcA++) * (*pSrcB++); + + /* Decrement the loop counter */ + blkCnt--; + } + + /* If the blockSize is not a multiple of 4, compute any remaining output samples here. + ** No loop unrolling is used. */ + blkCnt = blockSize % 0x4U; + +#else + + /* Run the below code for Cortex-M0 */ + + /* Initialize blkCnt with number of samples */ + blkCnt = blockSize; + +#endif /* #if defined (ARM_MATH_DSP) */ + + + while (blkCnt > 0U) + { + /* C = A[0]* B[0] + A[1]* B[1] + A[2]* B[2] + .....+ A[blockSize-1]* B[blockSize-1] */ + /* Calculate dot product and then store the result in a temporary buffer. */ + sum += (*pSrcA++) * (*pSrcB++); + + /* Decrement the loop counter */ + blkCnt--; + } + /* Store the result back in the destination buffer */ + *result = sum; +} + +/** + * @} end of dot_prod group + */ diff --git a/fw/hid-dials/Drivers/CMSIS/DSP/Source/BasicMathFunctions/arm_dot_prod_q15.c b/fw/hid-dials/Drivers/CMSIS/DSP/Source/BasicMathFunctions/arm_dot_prod_q15.c new file mode 100644 index 0000000..6a48242 --- /dev/null +++ b/fw/hid-dials/Drivers/CMSIS/DSP/Source/BasicMathFunctions/arm_dot_prod_q15.c @@ -0,0 +1,128 @@ +/* ---------------------------------------------------------------------- + * Project: CMSIS DSP Library + * Title: arm_dot_prod_q15.c + * Description: Q15 dot product + * + * $Date: 27. January 2017 + * $Revision: V.1.5.1 + * + * Target Processor: Cortex-M cores + * -------------------------------------------------------------------- */ +/* + * Copyright (C) 2010-2017 ARM Limited or its affiliates. All rights reserved. + * + * SPDX-License-Identifier: Apache-2.0 + * + * Licensed under the Apache License, Version 2.0 (the License); you may + * not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an AS IS BASIS, WITHOUT + * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ + +#include "arm_math.h" + +/** + * @ingroup groupMath + */ + +/** + * @addtogroup dot_prod + * @{ + */ + +/** + * @brief Dot product of Q15 vectors. + * @param[in] *pSrcA points to the first input vector + * @param[in] *pSrcB points to the second input vector + * @param[in] blockSize number of samples in each vector + * @param[out] *result output result returned here + * @return none. + * + * Scaling and Overflow Behavior: + * \par + * The intermediate multiplications are in 1.15 x 1.15 = 2.30 format and these + * results are added to a 64-bit accumulator in 34.30 format. + * Nonsaturating additions are used and given that there are 33 guard bits in the accumulator + * there is no risk of overflow. + * The return result is in 34.30 format. + */ + +void arm_dot_prod_q15( + q15_t * pSrcA, + q15_t * pSrcB, + uint32_t blockSize, + q63_t * result) +{ + q63_t sum = 0; /* Temporary result storage */ + uint32_t blkCnt; /* loop counter */ + +#if defined (ARM_MATH_DSP) + +/* Run the below code for Cortex-M4 and Cortex-M3 */ + + + /*loop Unrolling */ + blkCnt = blockSize >> 2U; + + /* First part of the processing with loop unrolling. Compute 4 outputs at a time. + ** a second loop below computes the remaining 1 to 3 samples. */ + while (blkCnt > 0U) + { + /* C = A[0]* B[0] + A[1]* B[1] + A[2]* B[2] + .....+ A[blockSize-1]* B[blockSize-1] */ + /* Calculate dot product and then store the result in a temporary buffer. */ + sum = __SMLALD(*__SIMD32(pSrcA)++, *__SIMD32(pSrcB)++, sum); + sum = __SMLALD(*__SIMD32(pSrcA)++, *__SIMD32(pSrcB)++, sum); + + /* Decrement the loop counter */ + blkCnt--; + } + + /* If the blockSize is not a multiple of 4, compute any remaining output samples here. + ** No loop unrolling is used. */ + blkCnt = blockSize % 0x4U; + + while (blkCnt > 0U) + { + /* C = A[0]* B[0] + A[1]* B[1] + A[2]* B[2] + .....+ A[blockSize-1]* B[blockSize-1] */ + /* Calculate dot product and then store the results in a temporary buffer. */ + sum = __SMLALD(*pSrcA++, *pSrcB++, sum); + + /* Decrement the loop counter */ + blkCnt--; + } + + +#else + + /* Run the below code for Cortex-M0 */ + + /* Initialize blkCnt with number of samples */ + blkCnt = blockSize; + + while (blkCnt > 0U) + { + /* C = A[0]* B[0] + A[1]* B[1] + A[2]* B[2] + .....+ A[blockSize-1]* B[blockSize-1] */ + /* Calculate dot product and then store the results in a temporary buffer. */ + sum += (q63_t) ((q31_t) * pSrcA++ * *pSrcB++); + + /* Decrement the loop counter */ + blkCnt--; + } + +#endif /* #if defined (ARM_MATH_DSP) */ + + /* Store the result in the destination buffer in 34.30 format */ + *result = sum; + +} + +/** + * @} end of dot_prod group + */ diff --git a/fw/hid-dials/Drivers/CMSIS/DSP/Source/BasicMathFunctions/arm_dot_prod_q31.c b/fw/hid-dials/Drivers/CMSIS/DSP/Source/BasicMathFunctions/arm_dot_prod_q31.c new file mode 100644 index 0000000..e739879 --- /dev/null +++ b/fw/hid-dials/Drivers/CMSIS/DSP/Source/BasicMathFunctions/arm_dot_prod_q31.c @@ -0,0 +1,131 @@ +/* ---------------------------------------------------------------------- + * Project: CMSIS DSP Library + * Title: arm_dot_prod_q31.c + * Description: Q31 dot product + * + * $Date: 27. January 2017 + * $Revision: V.1.5.1 + * + * Target Processor: Cortex-M cores + * -------------------------------------------------------------------- */ +/* + * Copyright (C) 2010-2017 ARM Limited or its affiliates. All rights reserved. + * + * SPDX-License-Identifier: Apache-2.0 + * + * Licensed under the Apache License, Version 2.0 (the License); you may + * not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an AS IS BASIS, WITHOUT + * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ + +#include "arm_math.h" + +/** + * @ingroup groupMath + */ + +/** + * @addtogroup dot_prod + * @{ + */ + +/** + * @brief Dot product of Q31 vectors. + * @param[in] *pSrcA points to the first input vector + * @param[in] *pSrcB points to the second input vector + * @param[in] blockSize number of samples in each vector + * @param[out] *result output result returned here + * @return none. + * + * Scaling and Overflow Behavior: + * \par + * The intermediate multiplications are in 1.31 x 1.31 = 2.62 format and these + * are truncated to 2.48 format by discarding the lower 14 bits. + * The 2.48 result is then added without saturation to a 64-bit accumulator in 16.48 format. + * There are 15 guard bits in the accumulator and there is no risk of overflow as long as + * the length of the vectors is less than 2^16 elements. + * The return result is in 16.48 format. + */ + +void arm_dot_prod_q31( + q31_t * pSrcA, + q31_t * pSrcB, + uint32_t blockSize, + q63_t * result) +{ + q63_t sum = 0; /* Temporary result storage */ + uint32_t blkCnt; /* loop counter */ + + +#if defined (ARM_MATH_DSP) + +/* Run the below code for Cortex-M4 and Cortex-M3 */ + q31_t inA1, inA2, inA3, inA4; + q31_t inB1, inB2, inB3, inB4; + + /*loop Unrolling */ + blkCnt = blockSize >> 2U; + + /* First part of the processing with loop unrolling. Compute 4 outputs at a time. + ** a second loop below computes the remaining 1 to 3 samples. */ + while (blkCnt > 0U) + { + /* C = A[0]* B[0] + A[1]* B[1] + A[2]* B[2] + .....+ A[blockSize-1]* B[blockSize-1] */ + /* Calculate dot product and then store the result in a temporary buffer. */ + inA1 = *pSrcA++; + inA2 = *pSrcA++; + inA3 = *pSrcA++; + inA4 = *pSrcA++; + inB1 = *pSrcB++; + inB2 = *pSrcB++; + inB3 = *pSrcB++; + inB4 = *pSrcB++; + + sum += ((q63_t) inA1 * inB1) >> 14U; + sum += ((q63_t) inA2 * inB2) >> 14U; + sum += ((q63_t) inA3 * inB3) >> 14U; + sum += ((q63_t) inA4 * inB4) >> 14U; + + /* Decrement the loop counter */ + blkCnt--; + } + + /* If the blockSize is not a multiple of 4, compute any remaining output samples here. + ** No loop unrolling is used. */ + blkCnt = blockSize % 0x4U; + +#else + + /* Run the below code for Cortex-M0 */ + + /* Initialize blkCnt with number of samples */ + blkCnt = blockSize; + +#endif /* #if defined (ARM_MATH_DSP) */ + + + while (blkCnt > 0U) + { + /* C = A[0]* B[0] + A[1]* B[1] + A[2]* B[2] + .....+ A[blockSize-1]* B[blockSize-1] */ + /* Calculate dot product and then store the result in a temporary buffer. */ + sum += ((q63_t) * pSrcA++ * *pSrcB++) >> 14U; + + /* Decrement the loop counter */ + blkCnt--; + } + + /* Store the result in the destination buffer in 16.48 format */ + *result = sum; +} + +/** + * @} end of dot_prod group + */ diff --git a/fw/hid-dials/Drivers/CMSIS/DSP/Source/BasicMathFunctions/arm_dot_prod_q7.c b/fw/hid-dials/Drivers/CMSIS/DSP/Source/BasicMathFunctions/arm_dot_prod_q7.c new file mode 100644 index 0000000..ef08038 --- /dev/null +++ b/fw/hid-dials/Drivers/CMSIS/DSP/Source/BasicMathFunctions/arm_dot_prod_q7.c @@ -0,0 +1,147 @@ +/* ---------------------------------------------------------------------- + * Project: CMSIS DSP Library + * Title: arm_dot_prod_q7.c + * Description: Q7 dot product + * + * $Date: 27. January 2017 + * $Revision: V.1.5.1 + * + * Target Processor: Cortex-M cores + * -------------------------------------------------------------------- */ +/* + * Copyright (C) 2010-2017 ARM Limited or its affiliates. All rights reserved. + * + * SPDX-License-Identifier: Apache-2.0 + * + * Licensed under the Apache License, Version 2.0 (the License); you may + * not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an AS IS BASIS, WITHOUT + * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ + +#include "arm_math.h" + +/** + * @ingroup groupMath + */ + +/** + * @addtogroup dot_prod + * @{ + */ + +/** + * @brief Dot product of Q7 vectors. + * @param[in] *pSrcA points to the first input vector + * @param[in] *pSrcB points to the second input vector + * @param[in] blockSize number of samples in each vector + * @param[out] *result output result returned here + * @return none. + * + * Scaling and Overflow Behavior: + * \par + * The intermediate multiplications are in 1.7 x 1.7 = 2.14 format and these + * results are added to an accumulator in 18.14 format. + * Nonsaturating additions are used and there is no danger of wrap around as long as + * the vectors are less than 2^18 elements long. + * The return result is in 18.14 format. + */ + +void arm_dot_prod_q7( + q7_t * pSrcA, + q7_t * pSrcB, + uint32_t blockSize, + q31_t * result) +{ + uint32_t blkCnt; /* loop counter */ + + q31_t sum = 0; /* Temporary variables to store output */ + +#if defined (ARM_MATH_DSP) + +/* Run the below code for Cortex-M4 and Cortex-M3 */ + + q31_t input1, input2; /* Temporary variables to store input */ + q31_t inA1, inA2, inB1, inB2; /* Temporary variables to store input */ + + + + /*loop Unrolling */ + blkCnt = blockSize >> 2U; + + /* First part of the processing with loop unrolling. Compute 4 outputs at a time. + ** a second loop below computes the remaining 1 to 3 samples. */ + while (blkCnt > 0U) + { + /* read 4 samples at a time from sourceA */ + input1 = *__SIMD32(pSrcA)++; + /* read 4 samples at a time from sourceB */ + input2 = *__SIMD32(pSrcB)++; + + /* extract two q7_t samples to q15_t samples */ + inA1 = __SXTB16(__ROR(input1, 8)); + /* extract reminaing two samples */ + inA2 = __SXTB16(input1); + /* extract two q7_t samples to q15_t samples */ + inB1 = __SXTB16(__ROR(input2, 8)); + /* extract reminaing two samples */ + inB2 = __SXTB16(input2); + + /* multiply and accumulate two samples at a time */ + sum = __SMLAD(inA1, inB1, sum); + sum = __SMLAD(inA2, inB2, sum); + + /* Decrement the loop counter */ + blkCnt--; + } + + /* If the blockSize is not a multiple of 4, compute any remaining output samples here. + ** No loop unrolling is used. */ + blkCnt = blockSize % 0x4U; + + while (blkCnt > 0U) + { + /* C = A[0]* B[0] + A[1]* B[1] + A[2]* B[2] + .....+ A[blockSize-1]* B[blockSize-1] */ + /* Dot product and then store the results in a temporary buffer. */ + sum = __SMLAD(*pSrcA++, *pSrcB++, sum); + + /* Decrement the loop counter */ + blkCnt--; + } + +#else + + /* Run the below code for Cortex-M0 */ + + + + /* Initialize blkCnt with number of samples */ + blkCnt = blockSize; + + while (blkCnt > 0U) + { + /* C = A[0]* B[0] + A[1]* B[1] + A[2]* B[2] + .....+ A[blockSize-1]* B[blockSize-1] */ + /* Dot product and then store the results in a temporary buffer. */ + sum += (q31_t) ((q15_t) * pSrcA++ * *pSrcB++); + + /* Decrement the loop counter */ + blkCnt--; + } + +#endif /* #if defined (ARM_MATH_DSP) */ + + + /* Store the result in the destination buffer in 18.14 format */ + *result = sum; +} + +/** + * @} end of dot_prod group + */ diff --git a/fw/hid-dials/Drivers/CMSIS/DSP/Source/BasicMathFunctions/arm_mult_f32.c b/fw/hid-dials/Drivers/CMSIS/DSP/Source/BasicMathFunctions/arm_mult_f32.c new file mode 100644 index 0000000..334e32b --- /dev/null +++ b/fw/hid-dials/Drivers/CMSIS/DSP/Source/BasicMathFunctions/arm_mult_f32.c @@ -0,0 +1,162 @@ +/* ---------------------------------------------------------------------- + * Project: CMSIS DSP Library + * Title: arm_mult_f32.c + * Description: Floating-point vector multiplication + * + * $Date: 27. January 2017 + * $Revision: V.1.5.1 + * + * Target Processor: Cortex-M cores + * -------------------------------------------------------------------- */ +/* + * Copyright (C) 2010-2017 ARM Limited or its affiliates. All rights reserved. + * + * SPDX-License-Identifier: Apache-2.0 + * + * Licensed under the Apache License, Version 2.0 (the License); you may + * not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an AS IS BASIS, WITHOUT + * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ + +#include "arm_math.h" + +/** + * @ingroup groupMath + */ + +/** + * @defgroup BasicMult Vector Multiplication + * + * Element-by-element multiplication of two vectors. + * + *
+ *     pDst[n] = pSrcA[n] * pSrcB[n],   0 <= n < blockSize.
+ * 
+ * + * There are separate functions for floating-point, Q7, Q15, and Q31 data types. + */ + +/** + * @addtogroup BasicMult + * @{ + */ + +/** + * @brief Floating-point vector multiplication. + * @param[in] *pSrcA points to the first input vector + * @param[in] *pSrcB points to the second input vector + * @param[out] *pDst points to the output vector + * @param[in] blockSize number of samples in each vector + * @return none. + */ + +void arm_mult_f32( + float32_t * pSrcA, + float32_t * pSrcB, + float32_t * pDst, + uint32_t blockSize) +{ + uint32_t blkCnt; /* loop counters */ +#if defined (ARM_MATH_DSP) + + /* Run the below code for Cortex-M4 and Cortex-M3 */ + float32_t inA1, inA2, inA3, inA4; /* temporary input variables */ + float32_t inB1, inB2, inB3, inB4; /* temporary input variables */ + float32_t out1, out2, out3, out4; /* temporary output variables */ + + /* loop Unrolling */ + blkCnt = blockSize >> 2U; + + /* First part of the processing with loop unrolling. Compute 4 outputs at a time. + ** a second loop below computes the remaining 1 to 3 samples. */ + while (blkCnt > 0U) + { + /* C = A * B */ + /* Multiply the inputs and store the results in output buffer */ + /* read sample from sourceA */ + inA1 = *pSrcA; + /* read sample from sourceB */ + inB1 = *pSrcB; + /* read sample from sourceA */ + inA2 = *(pSrcA + 1); + /* read sample from sourceB */ + inB2 = *(pSrcB + 1); + + /* out = sourceA * sourceB */ + out1 = inA1 * inB1; + + /* read sample from sourceA */ + inA3 = *(pSrcA + 2); + /* read sample from sourceB */ + inB3 = *(pSrcB + 2); + + /* out = sourceA * sourceB */ + out2 = inA2 * inB2; + + /* read sample from sourceA */ + inA4 = *(pSrcA + 3); + + /* store result to destination buffer */ + *pDst = out1; + + /* read sample from sourceB */ + inB4 = *(pSrcB + 3); + + /* out = sourceA * sourceB */ + out3 = inA3 * inB3; + + /* store result to destination buffer */ + *(pDst + 1) = out2; + + /* out = sourceA * sourceB */ + out4 = inA4 * inB4; + /* store result to destination buffer */ + *(pDst + 2) = out3; + /* store result to destination buffer */ + *(pDst + 3) = out4; + + + /* update pointers to process next samples */ + pSrcA += 4U; + pSrcB += 4U; + pDst += 4U; + + /* Decrement the blockSize loop counter */ + blkCnt--; + } + + /* If the blockSize is not a multiple of 4, compute any remaining output samples here. + ** No loop unrolling is used. */ + blkCnt = blockSize % 0x4U; + +#else + + /* Run the below code for Cortex-M0 */ + + /* Initialize blkCnt with number of samples */ + blkCnt = blockSize; + +#endif /* #if defined (ARM_MATH_DSP) */ + + while (blkCnt > 0U) + { + /* C = A * B */ + /* Multiply the inputs and store the results in output buffer */ + *pDst++ = (*pSrcA++) * (*pSrcB++); + + /* Decrement the blockSize loop counter */ + blkCnt--; + } +} + +/** + * @} end of BasicMult group + */ diff --git a/fw/hid-dials/Drivers/CMSIS/DSP/Source/BasicMathFunctions/arm_mult_q15.c b/fw/hid-dials/Drivers/CMSIS/DSP/Source/BasicMathFunctions/arm_mult_q15.c new file mode 100644 index 0000000..f3039d2 --- /dev/null +++ b/fw/hid-dials/Drivers/CMSIS/DSP/Source/BasicMathFunctions/arm_mult_q15.c @@ -0,0 +1,142 @@ +/* ---------------------------------------------------------------------- + * Project: CMSIS DSP Library + * Title: arm_mult_q15.c + * Description: Q15 vector multiplication + * + * $Date: 27. January 2017 + * $Revision: V.1.5.1 + * + * Target Processor: Cortex-M cores + * -------------------------------------------------------------------- */ +/* + * Copyright (C) 2010-2017 ARM Limited or its affiliates. All rights reserved. + * + * SPDX-License-Identifier: Apache-2.0 + * + * Licensed under the Apache License, Version 2.0 (the License); you may + * not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an AS IS BASIS, WITHOUT + * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ + +#include "arm_math.h" + +/** + * @ingroup groupMath + */ + +/** + * @addtogroup BasicMult + * @{ + */ + + +/** + * @brief Q15 vector multiplication + * @param[in] *pSrcA points to the first input vector + * @param[in] *pSrcB points to the second input vector + * @param[out] *pDst points to the output vector + * @param[in] blockSize number of samples in each vector + * @return none. + * + * Scaling and Overflow Behavior: + * \par + * The function uses saturating arithmetic. + * Results outside of the allowable Q15 range [0x8000 0x7FFF] will be saturated. + */ + +void arm_mult_q15( + q15_t * pSrcA, + q15_t * pSrcB, + q15_t * pDst, + uint32_t blockSize) +{ + uint32_t blkCnt; /* loop counters */ + +#if defined (ARM_MATH_DSP) + +/* Run the below code for Cortex-M4 and Cortex-M3 */ + q31_t inA1, inA2, inB1, inB2; /* temporary input variables */ + q15_t out1, out2, out3, out4; /* temporary output variables */ + q31_t mul1, mul2, mul3, mul4; /* temporary variables */ + + /* loop Unrolling */ + blkCnt = blockSize >> 2U; + + /* First part of the processing with loop unrolling. Compute 4 outputs at a time. + ** a second loop below computes the remaining 1 to 3 samples. */ + while (blkCnt > 0U) + { + /* read two samples at a time from sourceA */ + inA1 = *__SIMD32(pSrcA)++; + /* read two samples at a time from sourceB */ + inB1 = *__SIMD32(pSrcB)++; + /* read two samples at a time from sourceA */ + inA2 = *__SIMD32(pSrcA)++; + /* read two samples at a time from sourceB */ + inB2 = *__SIMD32(pSrcB)++; + + /* multiply mul = sourceA * sourceB */ + mul1 = (q31_t) ((q15_t) (inA1 >> 16) * (q15_t) (inB1 >> 16)); + mul2 = (q31_t) ((q15_t) inA1 * (q15_t) inB1); + mul3 = (q31_t) ((q15_t) (inA2 >> 16) * (q15_t) (inB2 >> 16)); + mul4 = (q31_t) ((q15_t) inA2 * (q15_t) inB2); + + /* saturate result to 16 bit */ + out1 = (q15_t) __SSAT(mul1 >> 15, 16); + out2 = (q15_t) __SSAT(mul2 >> 15, 16); + out3 = (q15_t) __SSAT(mul3 >> 15, 16); + out4 = (q15_t) __SSAT(mul4 >> 15, 16); + + /* store the result */ +#ifndef ARM_MATH_BIG_ENDIAN + + *__SIMD32(pDst)++ = __PKHBT(out2, out1, 16); + *__SIMD32(pDst)++ = __PKHBT(out4, out3, 16); + +#else + + *__SIMD32(pDst)++ = __PKHBT(out2, out1, 16); + *__SIMD32(pDst)++ = __PKHBT(out4, out3, 16); + +#endif /* #ifndef ARM_MATH_BIG_ENDIAN */ + + /* Decrement the blockSize loop counter */ + blkCnt--; + } + + /* If the blockSize is not a multiple of 4, compute any remaining output samples here. + ** No loop unrolling is used. */ + blkCnt = blockSize % 0x4U; + +#else + + /* Run the below code for Cortex-M0 */ + + /* Initialize blkCnt with number of samples */ + blkCnt = blockSize; + +#endif /* #if defined (ARM_MATH_DSP) */ + + + while (blkCnt > 0U) + { + /* C = A * B */ + /* Multiply the inputs and store the result in the destination buffer */ + *pDst++ = (q15_t) __SSAT((((q31_t) (*pSrcA++) * (*pSrcB++)) >> 15), 16); + + /* Decrement the blockSize loop counter */ + blkCnt--; + } +} + +/** + * @} end of BasicMult group + */ diff --git a/fw/hid-dials/Drivers/CMSIS/DSP/Source/BasicMathFunctions/arm_mult_q31.c b/fw/hid-dials/Drivers/CMSIS/DSP/Source/BasicMathFunctions/arm_mult_q31.c new file mode 100644 index 0000000..93f0c73 --- /dev/null +++ b/fw/hid-dials/Drivers/CMSIS/DSP/Source/BasicMathFunctions/arm_mult_q31.c @@ -0,0 +1,148 @@ +/* ---------------------------------------------------------------------- + * Project: CMSIS DSP Library + * Title: arm_mult_q31.c + * Description: Q31 vector multiplication + * + * $Date: 27. January 2017 + * $Revision: V.1.5.1 + * + * Target Processor: Cortex-M cores + * -------------------------------------------------------------------- */ +/* + * Copyright (C) 2010-2017 ARM Limited or its affiliates. All rights reserved. + * + * SPDX-License-Identifier: Apache-2.0 + * + * Licensed under the Apache License, Version 2.0 (the License); you may + * not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an AS IS BASIS, WITHOUT + * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ + +#include "arm_math.h" + +/** + * @ingroup groupMath + */ + +/** + * @addtogroup BasicMult + * @{ + */ + +/** + * @brief Q31 vector multiplication. + * @param[in] *pSrcA points to the first input vector + * @param[in] *pSrcB points to the second input vector + * @param[out] *pDst points to the output vector + * @param[in] blockSize number of samples in each vector + * @return none. + * + * Scaling and Overflow Behavior: + * \par + * The function uses saturating arithmetic. + * Results outside of the allowable Q31 range[0x80000000 0x7FFFFFFF] will be saturated. + */ + +void arm_mult_q31( + q31_t * pSrcA, + q31_t * pSrcB, + q31_t * pDst, + uint32_t blockSize) +{ + uint32_t blkCnt; /* loop counters */ + +#if defined (ARM_MATH_DSP) + +/* Run the below code for Cortex-M4 and Cortex-M3 */ + q31_t inA1, inA2, inA3, inA4; /* temporary input variables */ + q31_t inB1, inB2, inB3, inB4; /* temporary input variables */ + q31_t out1, out2, out3, out4; /* temporary output variables */ + + /* loop Unrolling */ + blkCnt = blockSize >> 2U; + + /* First part of the processing with loop unrolling. Compute 4 outputs at a time. + ** a second loop below computes the remaining 1 to 3 samples. */ + while (blkCnt > 0U) + { + /* C = A * B */ + /* Multiply the inputs and then store the results in the destination buffer. */ + inA1 = *pSrcA++; + inA2 = *pSrcA++; + inA3 = *pSrcA++; + inA4 = *pSrcA++; + inB1 = *pSrcB++; + inB2 = *pSrcB++; + inB3 = *pSrcB++; + inB4 = *pSrcB++; + + out1 = ((q63_t) inA1 * inB1) >> 32; + out2 = ((q63_t) inA2 * inB2) >> 32; + out3 = ((q63_t) inA3 * inB3) >> 32; + out4 = ((q63_t) inA4 * inB4) >> 32; + + out1 = __SSAT(out1, 31); + out2 = __SSAT(out2, 31); + out3 = __SSAT(out3, 31); + out4 = __SSAT(out4, 31); + + *pDst++ = out1 << 1U; + *pDst++ = out2 << 1U; + *pDst++ = out3 << 1U; + *pDst++ = out4 << 1U; + + /* Decrement the blockSize loop counter */ + blkCnt--; + } + + /* If the blockSize is not a multiple of 4, compute any remaining output samples here. + ** No loop unrolling is used. */ + blkCnt = blockSize % 0x4U; + + while (blkCnt > 0U) + { + /* C = A * B */ + /* Multiply the inputs and then store the results in the destination buffer. */ + inA1 = *pSrcA++; + inB1 = *pSrcB++; + out1 = ((q63_t) inA1 * inB1) >> 32; + out1 = __SSAT(out1, 31); + *pDst++ = out1 << 1U; + + /* Decrement the blockSize loop counter */ + blkCnt--; + } + +#else + + /* Run the below code for Cortex-M0 */ + + /* Initialize blkCnt with number of samples */ + blkCnt = blockSize; + + + while (blkCnt > 0U) + { + /* C = A * B */ + /* Multiply the inputs and then store the results in the destination buffer. */ + *pDst++ = + (q31_t) clip_q63_to_q31(((q63_t) (*pSrcA++) * (*pSrcB++)) >> 31); + + /* Decrement the blockSize loop counter */ + blkCnt--; + } + +#endif /* #if defined (ARM_MATH_DSP) */ +} + +/** + * @} end of BasicMult group + */ diff --git a/fw/hid-dials/Drivers/CMSIS/DSP/Source/BasicMathFunctions/arm_mult_q7.c b/fw/hid-dials/Drivers/CMSIS/DSP/Source/BasicMathFunctions/arm_mult_q7.c new file mode 100644 index 0000000..e5a8f24 --- /dev/null +++ b/fw/hid-dials/Drivers/CMSIS/DSP/Source/BasicMathFunctions/arm_mult_q7.c @@ -0,0 +1,115 @@ +/* ---------------------------------------------------------------------- + * Project: CMSIS DSP Library + * Title: arm_mult_q7.c + * Description: Q7 vector multiplication + * + * $Date: 27. January 2017 + * $Revision: V.1.5.1 + * + * Target Processor: Cortex-M cores + * -------------------------------------------------------------------- */ +/* + * Copyright (C) 2010-2017 ARM Limited or its affiliates. All rights reserved. + * + * SPDX-License-Identifier: Apache-2.0 + * + * Licensed under the Apache License, Version 2.0 (the License); you may + * not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an AS IS BASIS, WITHOUT + * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ + +#include "arm_math.h" + +/** + * @ingroup groupMath + */ + +/** + * @addtogroup BasicMult + * @{ + */ + +/** + * @brief Q7 vector multiplication + * @param[in] *pSrcA points to the first input vector + * @param[in] *pSrcB points to the second input vector + * @param[out] *pDst points to the output vector + * @param[in] blockSize number of samples in each vector + * @return none. + * + * Scaling and Overflow Behavior: + * \par + * The function uses saturating arithmetic. + * Results outside of the allowable Q7 range [0x80 0x7F] will be saturated. + */ + +void arm_mult_q7( + q7_t * pSrcA, + q7_t * pSrcB, + q7_t * pDst, + uint32_t blockSize) +{ + uint32_t blkCnt; /* loop counters */ + +#if defined (ARM_MATH_DSP) + +/* Run the below code for Cortex-M4 and Cortex-M3 */ + q7_t out1, out2, out3, out4; /* Temporary variables to store the product */ + + /* loop Unrolling */ + blkCnt = blockSize >> 2U; + + /* First part of the processing with loop unrolling. Compute 4 outputs at a time. + ** a second loop below computes the remaining 1 to 3 samples. */ + while (blkCnt > 0U) + { + /* C = A * B */ + /* Multiply the inputs and store the results in temporary variables */ + out1 = (q7_t) __SSAT((((q15_t) (*pSrcA++) * (*pSrcB++)) >> 7), 8); + out2 = (q7_t) __SSAT((((q15_t) (*pSrcA++) * (*pSrcB++)) >> 7), 8); + out3 = (q7_t) __SSAT((((q15_t) (*pSrcA++) * (*pSrcB++)) >> 7), 8); + out4 = (q7_t) __SSAT((((q15_t) (*pSrcA++) * (*pSrcB++)) >> 7), 8); + + /* Store the results of 4 inputs in the destination buffer in single cycle by packing */ + *__SIMD32(pDst)++ = __PACKq7(out1, out2, out3, out4); + + /* Decrement the blockSize loop counter */ + blkCnt--; + } + + /* If the blockSize is not a multiple of 4, compute any remaining output samples here. + ** No loop unrolling is used. */ + blkCnt = blockSize % 0x4U; + +#else + + /* Run the below code for Cortex-M0 */ + + /* Initialize blkCnt with number of samples */ + blkCnt = blockSize; + +#endif /* #if defined (ARM_MATH_DSP) */ + + + while (blkCnt > 0U) + { + /* C = A * B */ + /* Multiply the inputs and store the result in the destination buffer */ + *pDst++ = (q7_t) __SSAT((((q15_t) (*pSrcA++) * (*pSrcB++)) >> 7), 8); + + /* Decrement the blockSize loop counter */ + blkCnt--; + } +} + +/** + * @} end of BasicMult group + */ diff --git a/fw/hid-dials/Drivers/CMSIS/DSP/Source/BasicMathFunctions/arm_negate_f32.c b/fw/hid-dials/Drivers/CMSIS/DSP/Source/BasicMathFunctions/arm_negate_f32.c new file mode 100644 index 0000000..d463885 --- /dev/null +++ b/fw/hid-dials/Drivers/CMSIS/DSP/Source/BasicMathFunctions/arm_negate_f32.c @@ -0,0 +1,134 @@ +/* ---------------------------------------------------------------------- + * Project: CMSIS DSP Library + * Title: arm_negate_f32.c + * Description: Negates floating-point vectors + * + * $Date: 27. January 2017 + * $Revision: V.1.5.1 + * + * Target Processor: Cortex-M cores + * -------------------------------------------------------------------- */ +/* + * Copyright (C) 2010-2017 ARM Limited or its affiliates. All rights reserved. + * + * SPDX-License-Identifier: Apache-2.0 + * + * Licensed under the Apache License, Version 2.0 (the License); you may + * not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an AS IS BASIS, WITHOUT + * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ + +#include "arm_math.h" + +/** + * @ingroup groupMath + */ + +/** + * @defgroup negate Vector Negate + * + * Negates the elements of a vector. + * + *
+ *     pDst[n] = -pSrc[n],   0 <= n < blockSize.
+ * 
+ * + * The functions support in-place computation allowing the source and + * destination pointers to reference the same memory buffer. + * There are separate functions for floating-point, Q7, Q15, and Q31 data types. + */ + +/** + * @addtogroup negate + * @{ + */ + +/** + * @brief Negates the elements of a floating-point vector. + * @param[in] *pSrc points to the input vector + * @param[out] *pDst points to the output vector + * @param[in] blockSize number of samples in the vector + * @return none. + */ + +void arm_negate_f32( + float32_t * pSrc, + float32_t * pDst, + uint32_t blockSize) +{ + uint32_t blkCnt; /* loop counter */ + + +#if defined (ARM_MATH_DSP) + +/* Run the below code for Cortex-M4 and Cortex-M3 */ + float32_t in1, in2, in3, in4; /* temporary variables */ + + /*loop Unrolling */ + blkCnt = blockSize >> 2U; + + /* First part of the processing with loop unrolling. Compute 4 outputs at a time. + ** a second loop below computes the remaining 1 to 3 samples. */ + while (blkCnt > 0U) + { + /* read inputs from source */ + in1 = *pSrc; + in2 = *(pSrc + 1); + in3 = *(pSrc + 2); + in4 = *(pSrc + 3); + + /* negate the input */ + in1 = -in1; + in2 = -in2; + in3 = -in3; + in4 = -in4; + + /* store the result to destination */ + *pDst = in1; + *(pDst + 1) = in2; + *(pDst + 2) = in3; + *(pDst + 3) = in4; + + /* update pointers to process next samples */ + pSrc += 4U; + pDst += 4U; + + /* Decrement the loop counter */ + blkCnt--; + } + + /* If the blockSize is not a multiple of 4, compute any remaining output samples here. + ** No loop unrolling is used. */ + blkCnt = blockSize % 0x4U; + +#else + + /* Run the below code for Cortex-M0 */ + + /* Initialize blkCnt with number of samples */ + blkCnt = blockSize; + +#endif /* #if defined (ARM_MATH_DSP) */ + + while (blkCnt > 0U) + { + /* C = -A */ + /* Negate and then store the results in the destination buffer. */ + *pDst++ = -*pSrc++; + + /* Decrement the loop counter */ + blkCnt--; + } +} + +/** + * @} end of negate group + */ diff --git a/fw/hid-dials/Drivers/CMSIS/DSP/Source/BasicMathFunctions/arm_negate_q15.c b/fw/hid-dials/Drivers/CMSIS/DSP/Source/BasicMathFunctions/arm_negate_q15.c new file mode 100644 index 0000000..0820f30 --- /dev/null +++ b/fw/hid-dials/Drivers/CMSIS/DSP/Source/BasicMathFunctions/arm_negate_q15.c @@ -0,0 +1,131 @@ +/* ---------------------------------------------------------------------- + * Project: CMSIS DSP Library + * Title: arm_negate_q15.c + * Description: Negates Q15 vectors + * + * $Date: 27. January 2017 + * $Revision: V.1.5.1 + * + * Target Processor: Cortex-M cores + * -------------------------------------------------------------------- */ +/* + * Copyright (C) 2010-2017 ARM Limited or its affiliates. All rights reserved. + * + * SPDX-License-Identifier: Apache-2.0 + * + * Licensed under the Apache License, Version 2.0 (the License); you may + * not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an AS IS BASIS, WITHOUT + * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ + +#include "arm_math.h" + +/** + * @ingroup groupMath + */ + +/** + * @addtogroup negate + * @{ + */ + +/** + * @brief Negates the elements of a Q15 vector. + * @param[in] *pSrc points to the input vector + * @param[out] *pDst points to the output vector + * @param[in] blockSize number of samples in the vector + * @return none. + * + * \par Conditions for optimum performance + * Input and output buffers should be aligned by 32-bit + * + * + * Scaling and Overflow Behavior: + * \par + * The function uses saturating arithmetic. + * The Q15 value -1 (0x8000) will be saturated to the maximum allowable positive value 0x7FFF. + */ + +void arm_negate_q15( + q15_t * pSrc, + q15_t * pDst, + uint32_t blockSize) +{ + uint32_t blkCnt; /* loop counter */ + q15_t in; + +#if defined (ARM_MATH_DSP) + +/* Run the below code for Cortex-M4 and Cortex-M3 */ + + q31_t in1, in2; /* Temporary variables */ + + + /*loop Unrolling */ + blkCnt = blockSize >> 2U; + + /* First part of the processing with loop unrolling. Compute 4 outputs at a time. + ** a second loop below computes the remaining 1 to 3 samples. */ + while (blkCnt > 0U) + { + /* C = -A */ + /* Read two inputs at a time */ + in1 = _SIMD32_OFFSET(pSrc); + in2 = _SIMD32_OFFSET(pSrc + 2); + + /* negate two samples at a time */ + in1 = __QSUB16(0, in1); + + /* negate two samples at a time */ + in2 = __QSUB16(0, in2); + + /* store the result to destination 2 samples at a time */ + _SIMD32_OFFSET(pDst) = in1; + /* store the result to destination 2 samples at a time */ + _SIMD32_OFFSET(pDst + 2) = in2; + + + /* update pointers to process next samples */ + pSrc += 4U; + pDst += 4U; + + /* Decrement the loop counter */ + blkCnt--; + } + + /* If the blockSize is not a multiple of 4, compute any remaining output samples here. + ** No loop unrolling is used. */ + blkCnt = blockSize % 0x4U; + +#else + + /* Run the below code for Cortex-M0 */ + + /* Initialize blkCnt with number of samples */ + blkCnt = blockSize; + +#endif /* #if defined (ARM_MATH_DSP) */ + + while (blkCnt > 0U) + { + /* C = -A */ + /* Negate and then store the result in the destination buffer. */ + in = *pSrc++; + *pDst++ = (in == (q15_t) 0x8000) ? 0x7fff : -in; + + /* Decrement the loop counter */ + blkCnt--; + } +} + +/** + * @} end of negate group + */ diff --git a/fw/hid-dials/Drivers/CMSIS/DSP/Source/BasicMathFunctions/arm_negate_q31.c b/fw/hid-dials/Drivers/CMSIS/DSP/Source/BasicMathFunctions/arm_negate_q31.c new file mode 100644 index 0000000..ab5985a --- /dev/null +++ b/fw/hid-dials/Drivers/CMSIS/DSP/Source/BasicMathFunctions/arm_negate_q31.c @@ -0,0 +1,117 @@ +/* ---------------------------------------------------------------------- + * Project: CMSIS DSP Library + * Title: arm_negate_q31.c + * Description: Negates Q31 vectors + * + * $Date: 27. January 2017 + * $Revision: V.1.5.1 + * + * Target Processor: Cortex-M cores + * -------------------------------------------------------------------- */ +/* + * Copyright (C) 2010-2017 ARM Limited or its affiliates. All rights reserved. + * + * SPDX-License-Identifier: Apache-2.0 + * + * Licensed under the Apache License, Version 2.0 (the License); you may + * not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an AS IS BASIS, WITHOUT + * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ + +#include "arm_math.h" + +/** + * @ingroup groupMath + */ + +/** + * @addtogroup negate + * @{ + */ + +/** + * @brief Negates the elements of a Q31 vector. + * @param[in] *pSrc points to the input vector + * @param[out] *pDst points to the output vector + * @param[in] blockSize number of samples in the vector + * @return none. + * + * Scaling and Overflow Behavior: + * \par + * The function uses saturating arithmetic. + * The Q31 value -1 (0x80000000) will be saturated to the maximum allowable positive value 0x7FFFFFFF. + */ + +void arm_negate_q31( + q31_t * pSrc, + q31_t * pDst, + uint32_t blockSize) +{ + q31_t in; /* Temporary variable */ + uint32_t blkCnt; /* loop counter */ + +#if defined (ARM_MATH_DSP) + +/* Run the below code for Cortex-M4 and Cortex-M3 */ + q31_t in1, in2, in3, in4; + + /*loop Unrolling */ + blkCnt = blockSize >> 2U; + + /* First part of the processing with loop unrolling. Compute 4 outputs at a time. + ** a second loop below computes the remaining 1 to 3 samples. */ + while (blkCnt > 0U) + { + /* C = -A */ + /* Negate and then store the results in the destination buffer. */ + in1 = *pSrc++; + in2 = *pSrc++; + in3 = *pSrc++; + in4 = *pSrc++; + + *pDst++ = __QSUB(0, in1); + *pDst++ = __QSUB(0, in2); + *pDst++ = __QSUB(0, in3); + *pDst++ = __QSUB(0, in4); + + /* Decrement the loop counter */ + blkCnt--; + } + + /* If the blockSize is not a multiple of 4, compute any remaining output samples here. + ** No loop unrolling is used. */ + blkCnt = blockSize % 0x4U; + +#else + + /* Run the below code for Cortex-M0 */ + + /* Initialize blkCnt with number of samples */ + blkCnt = blockSize; + +#endif /* #if defined (ARM_MATH_DSP) */ + + + while (blkCnt > 0U) + { + /* C = -A */ + /* Negate and then store the result in the destination buffer. */ + in = *pSrc++; + *pDst++ = (in == INT32_MIN) ? INT32_MAX : -in; + + /* Decrement the loop counter */ + blkCnt--; + } +} + +/** + * @} end of negate group + */ diff --git a/fw/hid-dials/Drivers/CMSIS/DSP/Source/BasicMathFunctions/arm_negate_q7.c b/fw/hid-dials/Drivers/CMSIS/DSP/Source/BasicMathFunctions/arm_negate_q7.c new file mode 100644 index 0000000..b225c5e --- /dev/null +++ b/fw/hid-dials/Drivers/CMSIS/DSP/Source/BasicMathFunctions/arm_negate_q7.c @@ -0,0 +1,113 @@ +/* ---------------------------------------------------------------------- + * Project: CMSIS DSP Library + * Title: arm_negate_q7.c + * Description: Negates Q7 vectors + * + * $Date: 27. January 2017 + * $Revision: V.1.5.1 + * + * Target Processor: Cortex-M cores + * -------------------------------------------------------------------- */ +/* + * Copyright (C) 2010-2017 ARM Limited or its affiliates. All rights reserved. + * + * SPDX-License-Identifier: Apache-2.0 + * + * Licensed under the Apache License, Version 2.0 (the License); you may + * not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an AS IS BASIS, WITHOUT + * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ + +#include "arm_math.h" + +/** + * @ingroup groupMath + */ + +/** + * @addtogroup negate + * @{ + */ + +/** + * @brief Negates the elements of a Q7 vector. + * @param[in] *pSrc points to the input vector + * @param[out] *pDst points to the output vector + * @param[in] blockSize number of samples in the vector + * @return none. + * + * Scaling and Overflow Behavior: + * \par + * The function uses saturating arithmetic. + * The Q7 value -1 (0x80) will be saturated to the maximum allowable positive value 0x7F. + */ + +void arm_negate_q7( + q7_t * pSrc, + q7_t * pDst, + uint32_t blockSize) +{ + uint32_t blkCnt; /* loop counter */ + q7_t in; + +#if defined (ARM_MATH_DSP) + +/* Run the below code for Cortex-M4 and Cortex-M3 */ + q31_t input; /* Input values1-4 */ + q31_t zero = 0x00000000; + + + /*loop Unrolling */ + blkCnt = blockSize >> 2U; + + /* First part of the processing with loop unrolling. Compute 4 outputs at a time. + ** a second loop below computes the remaining 1 to 3 samples. */ + while (blkCnt > 0U) + { + /* C = -A */ + /* Read four inputs */ + input = *__SIMD32(pSrc)++; + + /* Store the Negated results in the destination buffer in a single cycle by packing the results */ + *__SIMD32(pDst)++ = __QSUB8(zero, input); + + /* Decrement the loop counter */ + blkCnt--; + } + + /* If the blockSize is not a multiple of 4, compute any remaining output samples here. + ** No loop unrolling is used. */ + blkCnt = blockSize % 0x4U; + +#else + + /* Run the below code for Cortex-M0 */ + + /* Initialize blkCnt with number of samples */ + blkCnt = blockSize; + +#endif /* #if defined (ARM_MATH_DSP) */ + + while (blkCnt > 0U) + { + /* C = -A */ + /* Negate and then store the results in the destination buffer. */ \ + in = *pSrc++; + *pDst++ = (in == (q7_t) 0x80) ? 0x7f : -in; + + /* Decrement the loop counter */ + blkCnt--; + } +} + +/** + * @} end of negate group + */ diff --git a/fw/hid-dials/Drivers/CMSIS/DSP/Source/BasicMathFunctions/arm_offset_f32.c b/fw/hid-dials/Drivers/CMSIS/DSP/Source/BasicMathFunctions/arm_offset_f32.c new file mode 100644 index 0000000..c35fe8e --- /dev/null +++ b/fw/hid-dials/Drivers/CMSIS/DSP/Source/BasicMathFunctions/arm_offset_f32.c @@ -0,0 +1,154 @@ +/* ---------------------------------------------------------------------- + * Project: CMSIS DSP Library + * Title: arm_offset_f32.c + * Description: Floating-point vector offset + * + * $Date: 27. January 2017 + * $Revision: V.1.5.1 + * + * Target Processor: Cortex-M cores + * -------------------------------------------------------------------- */ +/* + * Copyright (C) 2010-2017 ARM Limited or its affiliates. All rights reserved. + * + * SPDX-License-Identifier: Apache-2.0 + * + * Licensed under the Apache License, Version 2.0 (the License); you may + * not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an AS IS BASIS, WITHOUT + * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ + +#include "arm_math.h" + +/** + * @ingroup groupMath + */ + +/** + * @defgroup offset Vector Offset + * + * Adds a constant offset to each element of a vector. + * + *
+ *     pDst[n] = pSrc[n] + offset,   0 <= n < blockSize.
+ * 
+ * + * The functions support in-place computation allowing the source and + * destination pointers to reference the same memory buffer. + * There are separate functions for floating-point, Q7, Q15, and Q31 data types. + */ + +/** + * @addtogroup offset + * @{ + */ + +/** + * @brief Adds a constant offset to a floating-point vector. + * @param[in] *pSrc points to the input vector + * @param[in] offset is the offset to be added + * @param[out] *pDst points to the output vector + * @param[in] blockSize number of samples in the vector + * @return none. + */ + + +void arm_offset_f32( + float32_t * pSrc, + float32_t offset, + float32_t * pDst, + uint32_t blockSize) +{ + uint32_t blkCnt; /* loop counter */ + +#if defined (ARM_MATH_DSP) + +/* Run the below code for Cortex-M4 and Cortex-M3 */ + float32_t in1, in2, in3, in4; + + /*loop Unrolling */ + blkCnt = blockSize >> 2U; + + /* First part of the processing with loop unrolling. Compute 4 outputs at a time. + ** a second loop below computes the remaining 1 to 3 samples. */ + while (blkCnt > 0U) + { + /* C = A + offset */ + /* Add offset and then store the results in the destination buffer. */ + /* read samples from source */ + in1 = *pSrc; + in2 = *(pSrc + 1); + + /* add offset to input */ + in1 = in1 + offset; + + /* read samples from source */ + in3 = *(pSrc + 2); + + /* add offset to input */ + in2 = in2 + offset; + + /* read samples from source */ + in4 = *(pSrc + 3); + + /* add offset to input */ + in3 = in3 + offset; + + /* store result to destination */ + *pDst = in1; + + /* add offset to input */ + in4 = in4 + offset; + + /* store result to destination */ + *(pDst + 1) = in2; + + /* store result to destination */ + *(pDst + 2) = in3; + + /* store result to destination */ + *(pDst + 3) = in4; + + /* update pointers to process next samples */ + pSrc += 4U; + pDst += 4U; + + /* Decrement the loop counter */ + blkCnt--; + } + + /* If the blockSize is not a multiple of 4, compute any remaining output samples here. + ** No loop unrolling is used. */ + blkCnt = blockSize % 0x4U; + +#else + + /* Run the below code for Cortex-M0 */ + + /* Initialize blkCnt with number of samples */ + blkCnt = blockSize; + +#endif /* #if defined (ARM_MATH_DSP) */ + + while (blkCnt > 0U) + { + /* C = A + offset */ + /* Add offset and then store the result in the destination buffer. */ + *pDst++ = (*pSrc++) + offset; + + /* Decrement the loop counter */ + blkCnt--; + } +} + +/** + * @} end of offset group + */ diff --git a/fw/hid-dials/Drivers/CMSIS/DSP/Source/BasicMathFunctions/arm_offset_q15.c b/fw/hid-dials/Drivers/CMSIS/DSP/Source/BasicMathFunctions/arm_offset_q15.c new file mode 100644 index 0000000..4c16224 --- /dev/null +++ b/fw/hid-dials/Drivers/CMSIS/DSP/Source/BasicMathFunctions/arm_offset_q15.c @@ -0,0 +1,124 @@ +/* ---------------------------------------------------------------------- + * Project: CMSIS DSP Library + * Title: arm_offset_q15.c + * Description: Q15 vector offset + * + * $Date: 27. January 2017 + * $Revision: V.1.5.1 + * + * Target Processor: Cortex-M cores + * -------------------------------------------------------------------- */ +/* + * Copyright (C) 2010-2017 ARM Limited or its affiliates. All rights reserved. + * + * SPDX-License-Identifier: Apache-2.0 + * + * Licensed under the Apache License, Version 2.0 (the License); you may + * not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an AS IS BASIS, WITHOUT + * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ + +#include "arm_math.h" + +/** + * @ingroup groupMath + */ + +/** + * @addtogroup offset + * @{ + */ + +/** + * @brief Adds a constant offset to a Q15 vector. + * @param[in] *pSrc points to the input vector + * @param[in] offset is the offset to be added + * @param[out] *pDst points to the output vector + * @param[in] blockSize number of samples in the vector + * @return none. + * + * Scaling and Overflow Behavior: + * \par + * The function uses saturating arithmetic. + * Results outside of the allowable Q15 range [0x8000 0x7FFF] are saturated. + */ + +void arm_offset_q15( + q15_t * pSrc, + q15_t offset, + q15_t * pDst, + uint32_t blockSize) +{ + uint32_t blkCnt; /* loop counter */ + +#if defined (ARM_MATH_DSP) + +/* Run the below code for Cortex-M4 and Cortex-M3 */ + q31_t offset_packed; /* Offset packed to 32 bit */ + + + /*loop Unrolling */ + blkCnt = blockSize >> 2U; + + /* Offset is packed to 32 bit in order to use SIMD32 for addition */ + offset_packed = __PKHBT(offset, offset, 16); + + /* First part of the processing with loop unrolling. Compute 4 outputs at a time. + ** a second loop below computes the remaining 1 to 3 samples. */ + while (blkCnt > 0U) + { + /* C = A + offset */ + /* Add offset and then store the results in the destination buffer, 2 samples at a time. */ + *__SIMD32(pDst)++ = __QADD16(*__SIMD32(pSrc)++, offset_packed); + *__SIMD32(pDst)++ = __QADD16(*__SIMD32(pSrc)++, offset_packed); + + /* Decrement the loop counter */ + blkCnt--; + } + + /* If the blockSize is not a multiple of 4, compute any remaining output samples here. + ** No loop unrolling is used. */ + blkCnt = blockSize % 0x4U; + + while (blkCnt > 0U) + { + /* C = A + offset */ + /* Add offset and then store the results in the destination buffer. */ + *pDst++ = (q15_t) __QADD16(*pSrc++, offset); + + /* Decrement the loop counter */ + blkCnt--; + } + +#else + + /* Run the below code for Cortex-M0 */ + + /* Initialize blkCnt with number of samples */ + blkCnt = blockSize; + + while (blkCnt > 0U) + { + /* C = A + offset */ + /* Add offset and then store the results in the destination buffer. */ + *pDst++ = (q15_t) __SSAT(((q31_t) * pSrc++ + offset), 16); + + /* Decrement the loop counter */ + blkCnt--; + } + +#endif /* #if defined (ARM_MATH_DSP) */ + +} + +/** + * @} end of offset group + */ diff --git a/fw/hid-dials/Drivers/CMSIS/DSP/Source/BasicMathFunctions/arm_offset_q31.c b/fw/hid-dials/Drivers/CMSIS/DSP/Source/BasicMathFunctions/arm_offset_q31.c new file mode 100644 index 0000000..0b0ee32 --- /dev/null +++ b/fw/hid-dials/Drivers/CMSIS/DSP/Source/BasicMathFunctions/arm_offset_q31.c @@ -0,0 +1,128 @@ +/* ---------------------------------------------------------------------- + * Project: CMSIS DSP Library + * Title: arm_offset_q31.c + * Description: Q31 vector offset + * + * $Date: 27. January 2017 + * $Revision: V.1.5.1 + * + * Target Processor: Cortex-M cores + * -------------------------------------------------------------------- */ +/* + * Copyright (C) 2010-2017 ARM Limited or its affiliates. All rights reserved. + * + * SPDX-License-Identifier: Apache-2.0 + * + * Licensed under the Apache License, Version 2.0 (the License); you may + * not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an AS IS BASIS, WITHOUT + * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ + +#include "arm_math.h" + +/** + * @ingroup groupMath + */ + +/** + * @addtogroup offset + * @{ + */ + +/** + * @brief Adds a constant offset to a Q31 vector. + * @param[in] *pSrc points to the input vector + * @param[in] offset is the offset to be added + * @param[out] *pDst points to the output vector + * @param[in] blockSize number of samples in the vector + * @return none. + * + * Scaling and Overflow Behavior: + * \par + * The function uses saturating arithmetic. + * Results outside of the allowable Q31 range [0x80000000 0x7FFFFFFF] are saturated. + */ + +void arm_offset_q31( + q31_t * pSrc, + q31_t offset, + q31_t * pDst, + uint32_t blockSize) +{ + uint32_t blkCnt; /* loop counter */ + +#if defined (ARM_MATH_DSP) + +/* Run the below code for Cortex-M4 and Cortex-M3 */ + q31_t in1, in2, in3, in4; + + + /*loop Unrolling */ + blkCnt = blockSize >> 2U; + + /* First part of the processing with loop unrolling. Compute 4 outputs at a time. + ** a second loop below computes the remaining 1 to 3 samples. */ + while (blkCnt > 0U) + { + /* C = A + offset */ + /* Add offset and then store the results in the destination buffer. */ + in1 = *pSrc++; + in2 = *pSrc++; + in3 = *pSrc++; + in4 = *pSrc++; + + *pDst++ = __QADD(in1, offset); + *pDst++ = __QADD(in2, offset); + *pDst++ = __QADD(in3, offset); + *pDst++ = __QADD(in4, offset); + + /* Decrement the loop counter */ + blkCnt--; + } + + /* If the blockSize is not a multiple of 4, compute any remaining output samples here. + ** No loop unrolling is used. */ + blkCnt = blockSize % 0x4U; + + while (blkCnt > 0U) + { + /* C = A + offset */ + /* Add offset and then store the result in the destination buffer. */ + *pDst++ = __QADD(*pSrc++, offset); + + /* Decrement the loop counter */ + blkCnt--; + } + +#else + + /* Run the below code for Cortex-M0 */ + + /* Initialize blkCnt with number of samples */ + blkCnt = blockSize; + + while (blkCnt > 0U) + { + /* C = A + offset */ + /* Add offset and then store the result in the destination buffer. */ + *pDst++ = (q31_t) clip_q63_to_q31((q63_t) * pSrc++ + offset); + + /* Decrement the loop counter */ + blkCnt--; + } + +#endif /* #if defined (ARM_MATH_DSP) */ + +} + +/** + * @} end of offset group + */ diff --git a/fw/hid-dials/Drivers/CMSIS/DSP/Source/BasicMathFunctions/arm_offset_q7.c b/fw/hid-dials/Drivers/CMSIS/DSP/Source/BasicMathFunctions/arm_offset_q7.c new file mode 100644 index 0000000..5b98951 --- /dev/null +++ b/fw/hid-dials/Drivers/CMSIS/DSP/Source/BasicMathFunctions/arm_offset_q7.c @@ -0,0 +1,123 @@ +/* ---------------------------------------------------------------------- + * Project: CMSIS DSP Library + * Title: arm_offset_q7.c + * Description: Q7 vector offset + * + * $Date: 27. January 2017 + * $Revision: V.1.5.1 + * + * Target Processor: Cortex-M cores + * -------------------------------------------------------------------- */ +/* + * Copyright (C) 2010-2017 ARM Limited or its affiliates. All rights reserved. + * + * SPDX-License-Identifier: Apache-2.0 + * + * Licensed under the Apache License, Version 2.0 (the License); you may + * not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an AS IS BASIS, WITHOUT + * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ + +#include "arm_math.h" + +/** + * @ingroup groupMath + */ + +/** + * @addtogroup offset + * @{ + */ + +/** + * @brief Adds a constant offset to a Q7 vector. + * @param[in] *pSrc points to the input vector + * @param[in] offset is the offset to be added + * @param[out] *pDst points to the output vector + * @param[in] blockSize number of samples in the vector + * @return none. + * + * Scaling and Overflow Behavior: + * \par + * The function uses saturating arithmetic. + * Results outside of the allowable Q7 range [0x80 0x7F] are saturated. + */ + +void arm_offset_q7( + q7_t * pSrc, + q7_t offset, + q7_t * pDst, + uint32_t blockSize) +{ + uint32_t blkCnt; /* loop counter */ + +#if defined (ARM_MATH_DSP) + +/* Run the below code for Cortex-M4 and Cortex-M3 */ + q31_t offset_packed; /* Offset packed to 32 bit */ + + + /*loop Unrolling */ + blkCnt = blockSize >> 2U; + + /* Offset is packed to 32 bit in order to use SIMD32 for addition */ + offset_packed = __PACKq7(offset, offset, offset, offset); + + /* First part of the processing with loop unrolling. Compute 4 outputs at a time. + ** a second loop below computes the remaining 1 to 3 samples. */ + while (blkCnt > 0U) + { + /* C = A + offset */ + /* Add offset and then store the results in the destination bufferfor 4 samples at a time. */ + *__SIMD32(pDst)++ = __QADD8(*__SIMD32(pSrc)++, offset_packed); + + /* Decrement the loop counter */ + blkCnt--; + } + + /* If the blockSize is not a multiple of 4, compute any remaining output samples here. + ** No loop unrolling is used. */ + blkCnt = blockSize % 0x4U; + + while (blkCnt > 0U) + { + /* C = A + offset */ + /* Add offset and then store the result in the destination buffer. */ + *pDst++ = (q7_t) __SSAT(*pSrc++ + offset, 8); + + /* Decrement the loop counter */ + blkCnt--; + } + +#else + + /* Run the below code for Cortex-M0 */ + + /* Initialize blkCnt with number of samples */ + blkCnt = blockSize; + + while (blkCnt > 0U) + { + /* C = A + offset */ + /* Add offset and then store the result in the destination buffer. */ + *pDst++ = (q7_t) __SSAT((q15_t) * pSrc++ + offset, 8); + + /* Decrement the loop counter */ + blkCnt--; + } + +#endif /* #if defined (ARM_MATH_DSP) */ + +} + +/** + * @} end of offset group + */ diff --git a/fw/hid-dials/Drivers/CMSIS/DSP/Source/BasicMathFunctions/arm_scale_f32.c b/fw/hid-dials/Drivers/CMSIS/DSP/Source/BasicMathFunctions/arm_scale_f32.c new file mode 100644 index 0000000..0fc3204 --- /dev/null +++ b/fw/hid-dials/Drivers/CMSIS/DSP/Source/BasicMathFunctions/arm_scale_f32.c @@ -0,0 +1,157 @@ +/* ---------------------------------------------------------------------- + * Project: CMSIS DSP Library + * Title: arm_scale_f32.c + * Description: Multiplies a floating-point vector by a scalar + * + * $Date: 27. January 2017 + * $Revision: V.1.5.1 + * + * Target Processor: Cortex-M cores + * -------------------------------------------------------------------- */ +/* + * Copyright (C) 2010-2017 ARM Limited or its affiliates. All rights reserved. + * + * SPDX-License-Identifier: Apache-2.0 + * + * Licensed under the Apache License, Version 2.0 (the License); you may + * not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an AS IS BASIS, WITHOUT + * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ + +#include "arm_math.h" + +/** + * @ingroup groupMath + */ + +/** + * @defgroup scale Vector Scale + * + * Multiply a vector by a scalar value. For floating-point data, the algorithm used is: + * + *
+ *     pDst[n] = pSrc[n] * scale,   0 <= n < blockSize.
+ * 
+ * + * In the fixed-point Q7, Q15, and Q31 functions, scale is represented by + * a fractional multiplication scaleFract and an arithmetic shift shift. + * The shift allows the gain of the scaling operation to exceed 1.0. + * The algorithm used with fixed-point data is: + * + *
+ *     pDst[n] = (pSrc[n] * scaleFract) << shift,   0 <= n < blockSize.
+ * 
+ * + * The overall scale factor applied to the fixed-point data is + *
+ *     scale = scaleFract * 2^shift.
+ * 
+ * + * The functions support in-place computation allowing the source and destination + * pointers to reference the same memory buffer. + */ + +/** + * @addtogroup scale + * @{ + */ + +/** + * @brief Multiplies a floating-point vector by a scalar. + * @param[in] *pSrc points to the input vector + * @param[in] scale scale factor to be applied + * @param[out] *pDst points to the output vector + * @param[in] blockSize number of samples in the vector + * @return none. + */ + + +void arm_scale_f32( + float32_t * pSrc, + float32_t scale, + float32_t * pDst, + uint32_t blockSize) +{ + uint32_t blkCnt; /* loop counter */ +#if defined (ARM_MATH_DSP) + +/* Run the below code for Cortex-M4 and Cortex-M3 */ + float32_t in1, in2, in3, in4; /* temporary variabels */ + + /*loop Unrolling */ + blkCnt = blockSize >> 2U; + + /* First part of the processing with loop unrolling. Compute 4 outputs at a time. + ** a second loop below computes the remaining 1 to 3 samples. */ + while (blkCnt > 0U) + { + /* C = A * scale */ + /* Scale the input and then store the results in the destination buffer. */ + /* read input samples from source */ + in1 = *pSrc; + in2 = *(pSrc + 1); + + /* multiply with scaling factor */ + in1 = in1 * scale; + + /* read input sample from source */ + in3 = *(pSrc + 2); + + /* multiply with scaling factor */ + in2 = in2 * scale; + + /* read input sample from source */ + in4 = *(pSrc + 3); + + /* multiply with scaling factor */ + in3 = in3 * scale; + in4 = in4 * scale; + /* store the result to destination */ + *pDst = in1; + *(pDst + 1) = in2; + *(pDst + 2) = in3; + *(pDst + 3) = in4; + + /* update pointers to process next samples */ + pSrc += 4U; + pDst += 4U; + + /* Decrement the loop counter */ + blkCnt--; + } + + /* If the blockSize is not a multiple of 4, compute any remaining output samples here. + ** No loop unrolling is used. */ + blkCnt = blockSize % 0x4U; + +#else + + /* Run the below code for Cortex-M0 */ + + /* Initialize blkCnt with number of samples */ + blkCnt = blockSize; + +#endif /* #if defined (ARM_MATH_DSP) */ + + while (blkCnt > 0U) + { + /* C = A * scale */ + /* Scale the input and then store the result in the destination buffer. */ + *pDst++ = (*pSrc++) * scale; + + /* Decrement the loop counter */ + blkCnt--; + } +} + +/** + * @} end of scale group + */ diff --git a/fw/hid-dials/Drivers/CMSIS/DSP/Source/BasicMathFunctions/arm_scale_q15.c b/fw/hid-dials/Drivers/CMSIS/DSP/Source/BasicMathFunctions/arm_scale_q15.c new file mode 100644 index 0000000..f1d3063 --- /dev/null +++ b/fw/hid-dials/Drivers/CMSIS/DSP/Source/BasicMathFunctions/arm_scale_q15.c @@ -0,0 +1,150 @@ +/* ---------------------------------------------------------------------- + * Project: CMSIS DSP Library + * Title: arm_scale_q15.c + * Description: Multiplies a Q15 vector by a scalar + * + * $Date: 27. January 2017 + * $Revision: V.1.5.1 + * + * Target Processor: Cortex-M cores + * -------------------------------------------------------------------- */ +/* + * Copyright (C) 2010-2017 ARM Limited or its affiliates. All rights reserved. + * + * SPDX-License-Identifier: Apache-2.0 + * + * Licensed under the Apache License, Version 2.0 (the License); you may + * not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an AS IS BASIS, WITHOUT + * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ + +#include "arm_math.h" + +/** + * @ingroup groupMath + */ + +/** + * @addtogroup scale + * @{ + */ + +/** + * @brief Multiplies a Q15 vector by a scalar. + * @param[in] *pSrc points to the input vector + * @param[in] scaleFract fractional portion of the scale value + * @param[in] shift number of bits to shift the result by + * @param[out] *pDst points to the output vector + * @param[in] blockSize number of samples in the vector + * @return none. + * + * Scaling and Overflow Behavior: + * \par + * The input data *pSrc and scaleFract are in 1.15 format. + * These are multiplied to yield a 2.30 intermediate result and this is shifted with saturation to 1.15 format. + */ + + +void arm_scale_q15( + q15_t * pSrc, + q15_t scaleFract, + int8_t shift, + q15_t * pDst, + uint32_t blockSize) +{ + int8_t kShift = 15 - shift; /* shift to apply after scaling */ + uint32_t blkCnt; /* loop counter */ + +#if defined (ARM_MATH_DSP) + +/* Run the below code for Cortex-M4 and Cortex-M3 */ + q15_t in1, in2, in3, in4; + q31_t inA1, inA2; /* Temporary variables */ + q31_t out1, out2, out3, out4; + + + /*loop Unrolling */ + blkCnt = blockSize >> 2U; + + /* First part of the processing with loop unrolling. Compute 4 outputs at a time. + ** a second loop below computes the remaining 1 to 3 samples. */ + while (blkCnt > 0U) + { + /* Reading 2 inputs from memory */ + inA1 = *__SIMD32(pSrc)++; + inA2 = *__SIMD32(pSrc)++; + + /* C = A * scale */ + /* Scale the inputs and then store the 2 results in the destination buffer + * in single cycle by packing the outputs */ + out1 = (q31_t) ((q15_t) (inA1 >> 16) * scaleFract); + out2 = (q31_t) ((q15_t) inA1 * scaleFract); + out3 = (q31_t) ((q15_t) (inA2 >> 16) * scaleFract); + out4 = (q31_t) ((q15_t) inA2 * scaleFract); + + /* apply shifting */ + out1 = out1 >> kShift; + out2 = out2 >> kShift; + out3 = out3 >> kShift; + out4 = out4 >> kShift; + + /* saturate the output */ + in1 = (q15_t) (__SSAT(out1, 16)); + in2 = (q15_t) (__SSAT(out2, 16)); + in3 = (q15_t) (__SSAT(out3, 16)); + in4 = (q15_t) (__SSAT(out4, 16)); + + /* store the result to destination */ + *__SIMD32(pDst)++ = __PKHBT(in2, in1, 16); + *__SIMD32(pDst)++ = __PKHBT(in4, in3, 16); + + /* Decrement the loop counter */ + blkCnt--; + } + + /* If the blockSize is not a multiple of 4, compute any remaining output samples here. + ** No loop unrolling is used. */ + blkCnt = blockSize % 0x4U; + + while (blkCnt > 0U) + { + /* C = A * scale */ + /* Scale the input and then store the result in the destination buffer. */ + *pDst++ = (q15_t) (__SSAT(((*pSrc++) * scaleFract) >> kShift, 16)); + + /* Decrement the loop counter */ + blkCnt--; + } + +#else + + /* Run the below code for Cortex-M0 */ + + /* Initialize blkCnt with number of samples */ + blkCnt = blockSize; + + while (blkCnt > 0U) + { + /* C = A * scale */ + /* Scale the input and then store the result in the destination buffer. */ + *pDst++ = (q15_t) (__SSAT(((q31_t) * pSrc++ * scaleFract) >> kShift, 16)); + + /* Decrement the loop counter */ + blkCnt--; + } + +#endif /* #if defined (ARM_MATH_DSP) */ + +} + +/** + * @} end of scale group + */ diff --git a/fw/hid-dials/Drivers/CMSIS/DSP/Source/BasicMathFunctions/arm_scale_q31.c b/fw/hid-dials/Drivers/CMSIS/DSP/Source/BasicMathFunctions/arm_scale_q31.c new file mode 100644 index 0000000..dcc7bbe --- /dev/null +++ b/fw/hid-dials/Drivers/CMSIS/DSP/Source/BasicMathFunctions/arm_scale_q31.c @@ -0,0 +1,227 @@ +/* ---------------------------------------------------------------------- + * Project: CMSIS DSP Library + * Title: arm_scale_q31.c + * Description: Multiplies a Q31 vector by a scalar + * + * $Date: 27. January 2017 + * $Revision: V.1.5.1 + * + * Target Processor: Cortex-M cores + * -------------------------------------------------------------------- */ +/* + * Copyright (C) 2010-2017 ARM Limited or its affiliates. All rights reserved. + * + * SPDX-License-Identifier: Apache-2.0 + * + * Licensed under the Apache License, Version 2.0 (the License); you may + * not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an AS IS BASIS, WITHOUT + * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ + +#include "arm_math.h" + +/** + * @ingroup groupMath + */ + +/** + * @addtogroup scale + * @{ + */ + +/** + * @brief Multiplies a Q31 vector by a scalar. + * @param[in] *pSrc points to the input vector + * @param[in] scaleFract fractional portion of the scale value + * @param[in] shift number of bits to shift the result by + * @param[out] *pDst points to the output vector + * @param[in] blockSize number of samples in the vector + * @return none. + * + * Scaling and Overflow Behavior: + * \par + * The input data *pSrc and scaleFract are in 1.31 format. + * These are multiplied to yield a 2.62 intermediate result and this is shifted with saturation to 1.31 format. + */ + +void arm_scale_q31( + q31_t * pSrc, + q31_t scaleFract, + int8_t shift, + q31_t * pDst, + uint32_t blockSize) +{ + int8_t kShift = shift + 1; /* Shift to apply after scaling */ + int8_t sign = (kShift & 0x80); + uint32_t blkCnt; /* loop counter */ + q31_t in, out; + +#if defined (ARM_MATH_DSP) + +/* Run the below code for Cortex-M4 and Cortex-M3 */ + + q31_t in1, in2, in3, in4; /* temporary input variables */ + q31_t out1, out2, out3, out4; /* temporary output variabels */ + + + /*loop Unrolling */ + blkCnt = blockSize >> 2U; + + if (sign == 0U) + { + /* First part of the processing with loop unrolling. Compute 4 outputs at a time. + ** a second loop below computes the remaining 1 to 3 samples. */ + while (blkCnt > 0U) + { + /* read four inputs from source */ + in1 = *pSrc; + in2 = *(pSrc + 1); + in3 = *(pSrc + 2); + in4 = *(pSrc + 3); + + /* multiply input with scaler value */ + in1 = ((q63_t) in1 * scaleFract) >> 32; + in2 = ((q63_t) in2 * scaleFract) >> 32; + in3 = ((q63_t) in3 * scaleFract) >> 32; + in4 = ((q63_t) in4 * scaleFract) >> 32; + + /* apply shifting */ + out1 = in1 << kShift; + out2 = in2 << kShift; + + /* saturate the results. */ + if (in1 != (out1 >> kShift)) + out1 = 0x7FFFFFFF ^ (in1 >> 31); + + if (in2 != (out2 >> kShift)) + out2 = 0x7FFFFFFF ^ (in2 >> 31); + + out3 = in3 << kShift; + out4 = in4 << kShift; + + *pDst = out1; + *(pDst + 1) = out2; + + if (in3 != (out3 >> kShift)) + out3 = 0x7FFFFFFF ^ (in3 >> 31); + + if (in4 != (out4 >> kShift)) + out4 = 0x7FFFFFFF ^ (in4 >> 31); + + /* Store result destination */ + *(pDst + 2) = out3; + *(pDst + 3) = out4; + + /* Update pointers to process next sampels */ + pSrc += 4U; + pDst += 4U; + + /* Decrement the loop counter */ + blkCnt--; + } + + } + else + { + /* First part of the processing with loop unrolling. Compute 4 outputs at a time. + ** a second loop below computes the remaining 1 to 3 samples. */ + while (blkCnt > 0U) + { + /* read four inputs from source */ + in1 = *pSrc; + in2 = *(pSrc + 1); + in3 = *(pSrc + 2); + in4 = *(pSrc + 3); + + /* multiply input with scaler value */ + in1 = ((q63_t) in1 * scaleFract) >> 32; + in2 = ((q63_t) in2 * scaleFract) >> 32; + in3 = ((q63_t) in3 * scaleFract) >> 32; + in4 = ((q63_t) in4 * scaleFract) >> 32; + + /* apply shifting */ + out1 = in1 >> -kShift; + out2 = in2 >> -kShift; + + out3 = in3 >> -kShift; + out4 = in4 >> -kShift; + + /* Store result destination */ + *pDst = out1; + *(pDst + 1) = out2; + + *(pDst + 2) = out3; + *(pDst + 3) = out4; + + /* Update pointers to process next sampels */ + pSrc += 4U; + pDst += 4U; + + /* Decrement the loop counter */ + blkCnt--; + } + } + /* If the blockSize is not a multiple of 4, compute any remaining output samples here. + ** No loop unrolling is used. */ + blkCnt = blockSize % 0x4U; + +#else + + /* Run the below code for Cortex-M0 */ + + /* Initialize blkCnt with number of samples */ + blkCnt = blockSize; + +#endif /* #if defined (ARM_MATH_DSP) */ + + if (sign == 0) + { + while (blkCnt > 0U) + { + /* C = A * scale */ + /* Scale the input and then store the result in the destination buffer. */ + in = *pSrc++; + in = ((q63_t) in * scaleFract) >> 32; + + out = in << kShift; + + if (in != (out >> kShift)) + out = 0x7FFFFFFF ^ (in >> 31); + + *pDst++ = out; + + /* Decrement the loop counter */ + blkCnt--; + } + } + else + { + while (blkCnt > 0U) + { + /* C = A * scale */ + /* Scale the input and then store the result in the destination buffer. */ + in = *pSrc++; + in = ((q63_t) in * scaleFract) >> 32; + + out = in >> -kShift; + + *pDst++ = out; + + /* Decrement the loop counter */ + blkCnt--; + } + + } +} + +/** + * @} end of scale group + */ diff --git a/fw/hid-dials/Drivers/CMSIS/DSP/Source/BasicMathFunctions/arm_scale_q7.c b/fw/hid-dials/Drivers/CMSIS/DSP/Source/BasicMathFunctions/arm_scale_q7.c new file mode 100644 index 0000000..8c90396 --- /dev/null +++ b/fw/hid-dials/Drivers/CMSIS/DSP/Source/BasicMathFunctions/arm_scale_q7.c @@ -0,0 +1,137 @@ +/* ---------------------------------------------------------------------- + * Project: CMSIS DSP Library + * Title: arm_scale_q7.c + * Description: Multiplies a Q7 vector by a scalar + * + * $Date: 27. January 2017 + * $Revision: V.1.5.1 + * + * Target Processor: Cortex-M cores + * -------------------------------------------------------------------- */ +/* + * Copyright (C) 2010-2017 ARM Limited or its affiliates. All rights reserved. + * + * SPDX-License-Identifier: Apache-2.0 + * + * Licensed under the Apache License, Version 2.0 (the License); you may + * not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an AS IS BASIS, WITHOUT + * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ + +#include "arm_math.h" + +/** + * @ingroup groupMath + */ + +/** + * @addtogroup scale + * @{ + */ + +/** + * @brief Multiplies a Q7 vector by a scalar. + * @param[in] *pSrc points to the input vector + * @param[in] scaleFract fractional portion of the scale value + * @param[in] shift number of bits to shift the result by + * @param[out] *pDst points to the output vector + * @param[in] blockSize number of samples in the vector + * @return none. + * + * Scaling and Overflow Behavior: + * \par + * The input data *pSrc and scaleFract are in 1.7 format. + * These are multiplied to yield a 2.14 intermediate result and this is shifted with saturation to 1.7 format. + */ + +void arm_scale_q7( + q7_t * pSrc, + q7_t scaleFract, + int8_t shift, + q7_t * pDst, + uint32_t blockSize) +{ + int8_t kShift = 7 - shift; /* shift to apply after scaling */ + uint32_t blkCnt; /* loop counter */ + +#if defined (ARM_MATH_DSP) + +/* Run the below code for Cortex-M4 and Cortex-M3 */ + q7_t in1, in2, in3, in4, out1, out2, out3, out4; /* Temporary variables to store input & output */ + + + /*loop Unrolling */ + blkCnt = blockSize >> 2U; + + + /* First part of the processing with loop unrolling. Compute 4 outputs at a time. + ** a second loop below computes the remaining 1 to 3 samples. */ + while (blkCnt > 0U) + { + /* Reading 4 inputs from memory */ + in1 = *pSrc++; + in2 = *pSrc++; + in3 = *pSrc++; + in4 = *pSrc++; + + /* C = A * scale */ + /* Scale the inputs and then store the results in the temporary variables. */ + out1 = (q7_t) (__SSAT(((in1) * scaleFract) >> kShift, 8)); + out2 = (q7_t) (__SSAT(((in2) * scaleFract) >> kShift, 8)); + out3 = (q7_t) (__SSAT(((in3) * scaleFract) >> kShift, 8)); + out4 = (q7_t) (__SSAT(((in4) * scaleFract) >> kShift, 8)); + + /* Packing the individual outputs into 32bit and storing in + * destination buffer in single write */ + *__SIMD32(pDst)++ = __PACKq7(out1, out2, out3, out4); + + /* Decrement the loop counter */ + blkCnt--; + } + + /* If the blockSize is not a multiple of 4, compute any remaining output samples here. + ** No loop unrolling is used. */ + blkCnt = blockSize % 0x4U; + + while (blkCnt > 0U) + { + /* C = A * scale */ + /* Scale the input and then store the result in the destination buffer. */ + *pDst++ = (q7_t) (__SSAT(((*pSrc++) * scaleFract) >> kShift, 8)); + + /* Decrement the loop counter */ + blkCnt--; + } + +#else + + /* Run the below code for Cortex-M0 */ + + /* Initialize blkCnt with number of samples */ + blkCnt = blockSize; + + while (blkCnt > 0U) + { + /* C = A * scale */ + /* Scale the input and then store the result in the destination buffer. */ + *pDst++ = (q7_t) (__SSAT((((q15_t) * pSrc++ * scaleFract) >> kShift), 8)); + + /* Decrement the loop counter */ + blkCnt--; + } + +#endif /* #if defined (ARM_MATH_DSP) */ + +} + +/** + * @} end of scale group + */ diff --git a/fw/hid-dials/Drivers/CMSIS/DSP/Source/BasicMathFunctions/arm_shift_q15.c b/fw/hid-dials/Drivers/CMSIS/DSP/Source/BasicMathFunctions/arm_shift_q15.c new file mode 100644 index 0000000..9462ad7 --- /dev/null +++ b/fw/hid-dials/Drivers/CMSIS/DSP/Source/BasicMathFunctions/arm_shift_q15.c @@ -0,0 +1,236 @@ +/* ---------------------------------------------------------------------- + * Project: CMSIS DSP Library + * Title: arm_shift_q15.c + * Description: Shifts the elements of a Q15 vector by a specified number of bits + * + * $Date: 27. January 2017 + * $Revision: V.1.5.1 + * + * Target Processor: Cortex-M cores + * -------------------------------------------------------------------- */ +/* + * Copyright (C) 2010-2017 ARM Limited or its affiliates. All rights reserved. + * + * SPDX-License-Identifier: Apache-2.0 + * + * Licensed under the Apache License, Version 2.0 (the License); you may + * not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an AS IS BASIS, WITHOUT + * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ + +#include "arm_math.h" + +/** + * @ingroup groupMath + */ + +/** + * @addtogroup shift + * @{ + */ + +/** + * @brief Shifts the elements of a Q15 vector a specified number of bits. + * @param[in] *pSrc points to the input vector + * @param[in] shiftBits number of bits to shift. A positive value shifts left; a negative value shifts right. + * @param[out] *pDst points to the output vector + * @param[in] blockSize number of samples in the vector + * @return none. + * + * Scaling and Overflow Behavior: + * \par + * The function uses saturating arithmetic. + * Results outside of the allowable Q15 range [0x8000 0x7FFF] will be saturated. + */ + +void arm_shift_q15( + q15_t * pSrc, + int8_t shiftBits, + q15_t * pDst, + uint32_t blockSize) +{ + uint32_t blkCnt; /* loop counter */ + uint8_t sign; /* Sign of shiftBits */ + +#if defined (ARM_MATH_DSP) + +/* Run the below code for Cortex-M4 and Cortex-M3 */ + + q15_t in1, in2; /* Temporary variables */ + + + /*loop Unrolling */ + blkCnt = blockSize >> 2U; + + /* Getting the sign of shiftBits */ + sign = (shiftBits & 0x80); + + /* If the shift value is positive then do right shift else left shift */ + if (sign == 0U) + { + /* First part of the processing with loop unrolling. Compute 4 outputs at a time. + ** a second loop below computes the remaining 1 to 3 samples. */ + while (blkCnt > 0U) + { + /* Read 2 inputs */ + in1 = *pSrc++; + in2 = *pSrc++; + /* C = A << shiftBits */ + /* Shift the inputs and then store the results in the destination buffer. */ +#ifndef ARM_MATH_BIG_ENDIAN + + *__SIMD32(pDst)++ = __PKHBT(__SSAT((in1 << shiftBits), 16), + __SSAT((in2 << shiftBits), 16), 16); + +#else + + *__SIMD32(pDst)++ = __PKHBT(__SSAT((in2 << shiftBits), 16), + __SSAT((in1 << shiftBits), 16), 16); + +#endif /* #ifndef ARM_MATH_BIG_ENDIAN */ + + in1 = *pSrc++; + in2 = *pSrc++; + +#ifndef ARM_MATH_BIG_ENDIAN + + *__SIMD32(pDst)++ = __PKHBT(__SSAT((in1 << shiftBits), 16), + __SSAT((in2 << shiftBits), 16), 16); + +#else + + *__SIMD32(pDst)++ = __PKHBT(__SSAT((in2 << shiftBits), 16), + __SSAT((in1 << shiftBits), 16), 16); + +#endif /* #ifndef ARM_MATH_BIG_ENDIAN */ + + /* Decrement the loop counter */ + blkCnt--; + } + + /* If the blockSize is not a multiple of 4, compute any remaining output samples here. + ** No loop unrolling is used. */ + blkCnt = blockSize % 0x4U; + + while (blkCnt > 0U) + { + /* C = A << shiftBits */ + /* Shift and then store the results in the destination buffer. */ + *pDst++ = __SSAT((*pSrc++ << shiftBits), 16); + + /* Decrement the loop counter */ + blkCnt--; + } + } + else + { + /* First part of the processing with loop unrolling. Compute 4 outputs at a time. + ** a second loop below computes the remaining 1 to 3 samples. */ + while (blkCnt > 0U) + { + /* Read 2 inputs */ + in1 = *pSrc++; + in2 = *pSrc++; + + /* C = A >> shiftBits */ + /* Shift the inputs and then store the results in the destination buffer. */ +#ifndef ARM_MATH_BIG_ENDIAN + + *__SIMD32(pDst)++ = __PKHBT((in1 >> -shiftBits), + (in2 >> -shiftBits), 16); + +#else + + *__SIMD32(pDst)++ = __PKHBT((in2 >> -shiftBits), + (in1 >> -shiftBits), 16); + +#endif /* #ifndef ARM_MATH_BIG_ENDIAN */ + + in1 = *pSrc++; + in2 = *pSrc++; + +#ifndef ARM_MATH_BIG_ENDIAN + + *__SIMD32(pDst)++ = __PKHBT((in1 >> -shiftBits), + (in2 >> -shiftBits), 16); + +#else + + *__SIMD32(pDst)++ = __PKHBT((in2 >> -shiftBits), + (in1 >> -shiftBits), 16); + +#endif /* #ifndef ARM_MATH_BIG_ENDIAN */ + + /* Decrement the loop counter */ + blkCnt--; + } + + /* If the blockSize is not a multiple of 4, compute any remaining output samples here. + ** No loop unrolling is used. */ + blkCnt = blockSize % 0x4U; + + while (blkCnt > 0U) + { + /* C = A >> shiftBits */ + /* Shift the inputs and then store the results in the destination buffer. */ + *pDst++ = (*pSrc++ >> -shiftBits); + + /* Decrement the loop counter */ + blkCnt--; + } + } + +#else + + /* Run the below code for Cortex-M0 */ + + /* Getting the sign of shiftBits */ + sign = (shiftBits & 0x80); + + /* If the shift value is positive then do right shift else left shift */ + if (sign == 0U) + { + /* Initialize blkCnt with number of samples */ + blkCnt = blockSize; + + while (blkCnt > 0U) + { + /* C = A << shiftBits */ + /* Shift and then store the results in the destination buffer. */ + *pDst++ = __SSAT(((q31_t) * pSrc++ << shiftBits), 16); + + /* Decrement the loop counter */ + blkCnt--; + } + } + else + { + /* Initialize blkCnt with number of samples */ + blkCnt = blockSize; + + while (blkCnt > 0U) + { + /* C = A >> shiftBits */ + /* Shift the inputs and then store the results in the destination buffer. */ + *pDst++ = (*pSrc++ >> -shiftBits); + + /* Decrement the loop counter */ + blkCnt--; + } + } + +#endif /* #if defined (ARM_MATH_DSP) */ + +} + +/** + * @} end of shift group + */ diff --git a/fw/hid-dials/Drivers/CMSIS/DSP/Source/BasicMathFunctions/arm_shift_q31.c b/fw/hid-dials/Drivers/CMSIS/DSP/Source/BasicMathFunctions/arm_shift_q31.c new file mode 100644 index 0000000..12490a1 --- /dev/null +++ b/fw/hid-dials/Drivers/CMSIS/DSP/Source/BasicMathFunctions/arm_shift_q31.c @@ -0,0 +1,191 @@ +/* ---------------------------------------------------------------------- + * Project: CMSIS DSP Library + * Title: arm_shift_q31.c + * Description: Shifts the elements of a Q31 vector by a specified number of bits + * + * $Date: 27. January 2017 + * $Revision: V.1.5.1 + * + * Target Processor: Cortex-M cores + * -------------------------------------------------------------------- */ +/* + * Copyright (C) 2010-2017 ARM Limited or its affiliates. All rights reserved. + * + * SPDX-License-Identifier: Apache-2.0 + * + * Licensed under the Apache License, Version 2.0 (the License); you may + * not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an AS IS BASIS, WITHOUT + * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ + +#include "arm_math.h" + +/** + * @ingroup groupMath + */ +/** + * @defgroup shift Vector Shift + * + * Shifts the elements of a fixed-point vector by a specified number of bits. + * There are separate functions for Q7, Q15, and Q31 data types. + * The underlying algorithm used is: + * + *
+ *     pDst[n] = pSrc[n] << shift,   0 <= n < blockSize.
+ * 
+ * + * If shift is positive then the elements of the vector are shifted to the left. + * If shift is negative then the elements of the vector are shifted to the right. + * + * The functions support in-place computation allowing the source and destination + * pointers to reference the same memory buffer. + */ + +/** + * @addtogroup shift + * @{ + */ + +/** + * @brief Shifts the elements of a Q31 vector a specified number of bits. + * @param[in] *pSrc points to the input vector + * @param[in] shiftBits number of bits to shift. A positive value shifts left; a negative value shifts right. + * @param[out] *pDst points to the output vector + * @param[in] blockSize number of samples in the vector + * @return none. + * + * + * Scaling and Overflow Behavior: + * \par + * The function uses saturating arithmetic. + * Results outside of the allowable Q31 range [0x80000000 0x7FFFFFFF] will be saturated. + */ + +void arm_shift_q31( + q31_t * pSrc, + int8_t shiftBits, + q31_t * pDst, + uint32_t blockSize) +{ + uint32_t blkCnt; /* loop counter */ + uint8_t sign = (shiftBits & 0x80); /* Sign of shiftBits */ + +#if defined (ARM_MATH_DSP) + + q31_t in1, in2, in3, in4; /* Temporary input variables */ + q31_t out1, out2, out3, out4; /* Temporary output variables */ + + /*loop Unrolling */ + blkCnt = blockSize >> 2U; + + + if (sign == 0U) + { + /* First part of the processing with loop unrolling. Compute 4 outputs at a time. + ** a second loop below computes the remaining 1 to 3 samples. */ + while (blkCnt > 0U) + { + /* C = A << shiftBits */ + /* Shift the input and then store the results in the destination buffer. */ + in1 = *pSrc; + in2 = *(pSrc + 1); + out1 = in1 << shiftBits; + in3 = *(pSrc + 2); + out2 = in2 << shiftBits; + in4 = *(pSrc + 3); + if (in1 != (out1 >> shiftBits)) + out1 = 0x7FFFFFFF ^ (in1 >> 31); + + if (in2 != (out2 >> shiftBits)) + out2 = 0x7FFFFFFF ^ (in2 >> 31); + + *pDst = out1; + out3 = in3 << shiftBits; + *(pDst + 1) = out2; + out4 = in4 << shiftBits; + + if (in3 != (out3 >> shiftBits)) + out3 = 0x7FFFFFFF ^ (in3 >> 31); + + if (in4 != (out4 >> shiftBits)) + out4 = 0x7FFFFFFF ^ (in4 >> 31); + + *(pDst + 2) = out3; + *(pDst + 3) = out4; + + /* Update destination pointer to process next sampels */ + pSrc += 4U; + pDst += 4U; + + /* Decrement the loop counter */ + blkCnt--; + } + } + else + { + + /* First part of the processing with loop unrolling. Compute 4 outputs at a time. + ** a second loop below computes the remaining 1 to 3 samples. */ + while (blkCnt > 0U) + { + /* C = A >> shiftBits */ + /* Shift the input and then store the results in the destination buffer. */ + in1 = *pSrc; + in2 = *(pSrc + 1); + in3 = *(pSrc + 2); + in4 = *(pSrc + 3); + + *pDst = (in1 >> -shiftBits); + *(pDst + 1) = (in2 >> -shiftBits); + *(pDst + 2) = (in3 >> -shiftBits); + *(pDst + 3) = (in4 >> -shiftBits); + + + pSrc += 4U; + pDst += 4U; + + blkCnt--; + } + + } + + /* If the blockSize is not a multiple of 4, compute any remaining output samples here. + ** No loop unrolling is used. */ + blkCnt = blockSize % 0x4U; + +#else + + /* Run the below code for Cortex-M0 */ + + + /* Initialize blkCnt with number of samples */ + blkCnt = blockSize; + +#endif /* #if defined (ARM_MATH_DSP) */ + + + while (blkCnt > 0U) + { + /* C = A (>> or <<) shiftBits */ + /* Shift the input and then store the result in the destination buffer. */ + *pDst++ = (sign == 0U) ? clip_q63_to_q31((q63_t) * pSrc++ << shiftBits) : + (*pSrc++ >> -shiftBits); + + /* Decrement the loop counter */ + blkCnt--; + } + + +} + +/** + * @} end of shift group + */ diff --git a/fw/hid-dials/Drivers/CMSIS/DSP/Source/BasicMathFunctions/arm_shift_q7.c b/fw/hid-dials/Drivers/CMSIS/DSP/Source/BasicMathFunctions/arm_shift_q7.c new file mode 100644 index 0000000..6f40431 --- /dev/null +++ b/fw/hid-dials/Drivers/CMSIS/DSP/Source/BasicMathFunctions/arm_shift_q7.c @@ -0,0 +1,208 @@ +/* ---------------------------------------------------------------------- + * Project: CMSIS DSP Library + * Title: arm_shift_q7.c + * Description: Processing function for the Q7 Shifting + * + * $Date: 27. January 2017 + * $Revision: V.1.5.1 + * + * Target Processor: Cortex-M cores + * -------------------------------------------------------------------- */ +/* + * Copyright (C) 2010-2017 ARM Limited or its affiliates. All rights reserved. + * + * SPDX-License-Identifier: Apache-2.0 + * + * Licensed under the Apache License, Version 2.0 (the License); you may + * not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an AS IS BASIS, WITHOUT + * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ + +#include "arm_math.h" + +/** + * @ingroup groupMath + */ + +/** + * @addtogroup shift + * @{ + */ + + +/** + * @brief Shifts the elements of a Q7 vector a specified number of bits. + * @param[in] *pSrc points to the input vector + * @param[in] shiftBits number of bits to shift. A positive value shifts left; a negative value shifts right. + * @param[out] *pDst points to the output vector + * @param[in] blockSize number of samples in the vector + * @return none. + * + * \par Conditions for optimum performance + * Input and output buffers should be aligned by 32-bit + * + * + * Scaling and Overflow Behavior: + * \par + * The function uses saturating arithmetic. + * Results outside of the allowable Q7 range [0x8 0x7F] will be saturated. + */ + +void arm_shift_q7( + q7_t * pSrc, + int8_t shiftBits, + q7_t * pDst, + uint32_t blockSize) +{ + uint32_t blkCnt; /* loop counter */ + uint8_t sign; /* Sign of shiftBits */ + +#if defined (ARM_MATH_DSP) + +/* Run the below code for Cortex-M4 and Cortex-M3 */ + q7_t in1; /* Input value1 */ + q7_t in2; /* Input value2 */ + q7_t in3; /* Input value3 */ + q7_t in4; /* Input value4 */ + + + /*loop Unrolling */ + blkCnt = blockSize >> 2U; + + /* Getting the sign of shiftBits */ + sign = (shiftBits & 0x80); + + /* If the shift value is positive then do right shift else left shift */ + if (sign == 0U) + { + /* First part of the processing with loop unrolling. Compute 4 outputs at a time. + ** a second loop below computes the remaining 1 to 3 samples. */ + while (blkCnt > 0U) + { + /* C = A << shiftBits */ + /* Read 4 inputs */ + in1 = *pSrc; + in2 = *(pSrc + 1); + in3 = *(pSrc + 2); + in4 = *(pSrc + 3); + + /* Store the Shifted result in the destination buffer in single cycle by packing the outputs */ + *__SIMD32(pDst)++ = __PACKq7(__SSAT((in1 << shiftBits), 8), + __SSAT((in2 << shiftBits), 8), + __SSAT((in3 << shiftBits), 8), + __SSAT((in4 << shiftBits), 8)); + /* Update source pointer to process next sampels */ + pSrc += 4U; + + /* Decrement the loop counter */ + blkCnt--; + } + + /* If the blockSize is not a multiple of 4, compute any remaining output samples here. + ** No loop unrolling is used. */ + blkCnt = blockSize % 0x4U; + + while (blkCnt > 0U) + { + /* C = A << shiftBits */ + /* Shift the input and then store the result in the destination buffer. */ + *pDst++ = (q7_t) __SSAT((*pSrc++ << shiftBits), 8); + + /* Decrement the loop counter */ + blkCnt--; + } + } + else + { + shiftBits = -shiftBits; + /* First part of the processing with loop unrolling. Compute 4 outputs at a time. + ** a second loop below computes the remaining 1 to 3 samples. */ + while (blkCnt > 0U) + { + /* C = A >> shiftBits */ + /* Read 4 inputs */ + in1 = *pSrc; + in2 = *(pSrc + 1); + in3 = *(pSrc + 2); + in4 = *(pSrc + 3); + + /* Store the Shifted result in the destination buffer in single cycle by packing the outputs */ + *__SIMD32(pDst)++ = __PACKq7((in1 >> shiftBits), (in2 >> shiftBits), + (in3 >> shiftBits), (in4 >> shiftBits)); + + + pSrc += 4U; + + /* Decrement the loop counter */ + blkCnt--; + } + + /* If the blockSize is not a multiple of 4, compute any remaining output samples here. + ** No loop unrolling is used. */ + blkCnt = blockSize % 0x4U; + + while (blkCnt > 0U) + { + /* C = A >> shiftBits */ + /* Shift the input and then store the result in the destination buffer. */ + in1 = *pSrc++; + *pDst++ = (in1 >> shiftBits); + + /* Decrement the loop counter */ + blkCnt--; + } + } + +#else + + /* Run the below code for Cortex-M0 */ + + /* Getting the sign of shiftBits */ + sign = (shiftBits & 0x80); + + /* If the shift value is positive then do right shift else left shift */ + if (sign == 0U) + { + /* Initialize blkCnt with number of samples */ + blkCnt = blockSize; + + while (blkCnt > 0U) + { + /* C = A << shiftBits */ + /* Shift the input and then store the result in the destination buffer. */ + *pDst++ = (q7_t) __SSAT(((q15_t) * pSrc++ << shiftBits), 8); + + /* Decrement the loop counter */ + blkCnt--; + } + } + else + { + /* Initialize blkCnt with number of samples */ + blkCnt = blockSize; + + while (blkCnt > 0U) + { + /* C = A >> shiftBits */ + /* Shift the input and then store the result in the destination buffer. */ + *pDst++ = (*pSrc++ >> -shiftBits); + + /* Decrement the loop counter */ + blkCnt--; + } + } + +#endif /* #if defined (ARM_MATH_DSP) */ +} + +/** + * @} end of shift group + */ diff --git a/fw/hid-dials/Drivers/CMSIS/DSP/Source/BasicMathFunctions/arm_sub_f32.c b/fw/hid-dials/Drivers/CMSIS/DSP/Source/BasicMathFunctions/arm_sub_f32.c new file mode 100644 index 0000000..6d56fa7 --- /dev/null +++ b/fw/hid-dials/Drivers/CMSIS/DSP/Source/BasicMathFunctions/arm_sub_f32.c @@ -0,0 +1,138 @@ +/* ---------------------------------------------------------------------- + * Project: CMSIS DSP Library + * Title: arm_sub_f32.c + * Description: Floating-point vector subtraction. + * + * $Date: 27. January 2017 + * $Revision: V.1.5.1 + * + * Target Processor: Cortex-M cores + * -------------------------------------------------------------------- */ +/* + * Copyright (C) 2010-2017 ARM Limited or its affiliates. All rights reserved. + * + * SPDX-License-Identifier: Apache-2.0 + * + * Licensed under the Apache License, Version 2.0 (the License); you may + * not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an AS IS BASIS, WITHOUT + * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ + +#include "arm_math.h" + +/** + * @ingroup groupMath + */ + +/** + * @defgroup BasicSub Vector Subtraction + * + * Element-by-element subtraction of two vectors. + * + *
+ *     pDst[n] = pSrcA[n] - pSrcB[n],   0 <= n < blockSize.
+ * 
+ * + * There are separate functions for floating-point, Q7, Q15, and Q31 data types. + */ + +/** + * @addtogroup BasicSub + * @{ + */ + + +/** + * @brief Floating-point vector subtraction. + * @param[in] *pSrcA points to the first input vector + * @param[in] *pSrcB points to the second input vector + * @param[out] *pDst points to the output vector + * @param[in] blockSize number of samples in each vector + * @return none. + */ + +void arm_sub_f32( + float32_t * pSrcA, + float32_t * pSrcB, + float32_t * pDst, + uint32_t blockSize) +{ + uint32_t blkCnt; /* loop counter */ + +#if defined (ARM_MATH_DSP) + +/* Run the below code for Cortex-M4 and Cortex-M3 */ + float32_t inA1, inA2, inA3, inA4; /* temporary variables */ + float32_t inB1, inB2, inB3, inB4; /* temporary variables */ + + /*loop Unrolling */ + blkCnt = blockSize >> 2U; + + /* First part of the processing with loop unrolling. Compute 4 outputs at a time. + ** a second loop below computes the remaining 1 to 3 samples. */ + while (blkCnt > 0U) + { + /* C = A - B */ + /* Subtract and then store the results in the destination buffer. */ + /* Read 4 input samples from sourceA and sourceB */ + inA1 = *pSrcA; + inB1 = *pSrcB; + inA2 = *(pSrcA + 1); + inB2 = *(pSrcB + 1); + inA3 = *(pSrcA + 2); + inB3 = *(pSrcB + 2); + inA4 = *(pSrcA + 3); + inB4 = *(pSrcB + 3); + + /* dst = srcA - srcB */ + /* subtract and store the result */ + *pDst = inA1 - inB1; + *(pDst + 1) = inA2 - inB2; + *(pDst + 2) = inA3 - inB3; + *(pDst + 3) = inA4 - inB4; + + + /* Update pointers to process next sampels */ + pSrcA += 4U; + pSrcB += 4U; + pDst += 4U; + + /* Decrement the loop counter */ + blkCnt--; + } + + /* If the blockSize is not a multiple of 4, compute any remaining output samples here. + ** No loop unrolling is used. */ + blkCnt = blockSize % 0x4U; + +#else + + /* Run the below code for Cortex-M0 */ + + /* Initialize blkCnt with number of samples */ + blkCnt = blockSize; + +#endif /* #if defined (ARM_MATH_DSP) */ + + while (blkCnt > 0U) + { + /* C = A - B */ + /* Subtract and then store the results in the destination buffer. */ + *pDst++ = (*pSrcA++) - (*pSrcB++); + + /* Decrement the loop counter */ + blkCnt--; + } +} + +/** + * @} end of BasicSub group + */ diff --git a/fw/hid-dials/Drivers/CMSIS/DSP/Source/BasicMathFunctions/arm_sub_q15.c b/fw/hid-dials/Drivers/CMSIS/DSP/Source/BasicMathFunctions/arm_sub_q15.c new file mode 100644 index 0000000..643f933 --- /dev/null +++ b/fw/hid-dials/Drivers/CMSIS/DSP/Source/BasicMathFunctions/arm_sub_q15.c @@ -0,0 +1,128 @@ +/* ---------------------------------------------------------------------- + * Project: CMSIS DSP Library + * Title: arm_sub_q15.c + * Description: Q15 vector subtraction + * + * $Date: 27. January 2017 + * $Revision: V.1.5.1 + * + * Target Processor: Cortex-M cores + * -------------------------------------------------------------------- */ +/* + * Copyright (C) 2010-2017 ARM Limited or its affiliates. All rights reserved. + * + * SPDX-License-Identifier: Apache-2.0 + * + * Licensed under the Apache License, Version 2.0 (the License); you may + * not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an AS IS BASIS, WITHOUT + * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ + +#include "arm_math.h" + +/** + * @ingroup groupMath + */ + +/** + * @addtogroup BasicSub + * @{ + */ + +/** + * @brief Q15 vector subtraction. + * @param[in] *pSrcA points to the first input vector + * @param[in] *pSrcB points to the second input vector + * @param[out] *pDst points to the output vector + * @param[in] blockSize number of samples in each vector + * @return none. + * + * Scaling and Overflow Behavior: + * \par + * The function uses saturating arithmetic. + * Results outside of the allowable Q15 range [0x8000 0x7FFF] will be saturated. + */ + +void arm_sub_q15( + q15_t * pSrcA, + q15_t * pSrcB, + q15_t * pDst, + uint32_t blockSize) +{ + uint32_t blkCnt; /* loop counter */ + + +#if defined (ARM_MATH_DSP) + +/* Run the below code for Cortex-M4 and Cortex-M3 */ + q31_t inA1, inA2; + q31_t inB1, inB2; + + /*loop Unrolling */ + blkCnt = blockSize >> 2U; + + /* First part of the processing with loop unrolling. Compute 4 outputs at a time. + ** a second loop below computes the remaining 1 to 3 samples. */ + while (blkCnt > 0U) + { + /* C = A - B */ + /* Subtract and then store the results in the destination buffer two samples at a time. */ + inA1 = *__SIMD32(pSrcA)++; + inA2 = *__SIMD32(pSrcA)++; + inB1 = *__SIMD32(pSrcB)++; + inB2 = *__SIMD32(pSrcB)++; + + *__SIMD32(pDst)++ = __QSUB16(inA1, inB1); + *__SIMD32(pDst)++ = __QSUB16(inA2, inB2); + + /* Decrement the loop counter */ + blkCnt--; + } + + /* If the blockSize is not a multiple of 4, compute any remaining output samples here. + ** No loop unrolling is used. */ + blkCnt = blockSize % 0x4U; + + while (blkCnt > 0U) + { + /* C = A - B */ + /* Subtract and then store the result in the destination buffer. */ + *pDst++ = (q15_t) __QSUB16(*pSrcA++, *pSrcB++); + + /* Decrement the loop counter */ + blkCnt--; + } + +#else + + /* Run the below code for Cortex-M0 */ + + /* Initialize blkCnt with number of samples */ + blkCnt = blockSize; + + while (blkCnt > 0U) + { + /* C = A - B */ + /* Subtract and then store the result in the destination buffer. */ + *pDst++ = (q15_t) __SSAT(((q31_t) * pSrcA++ - *pSrcB++), 16); + + /* Decrement the loop counter */ + blkCnt--; + } + +#endif /* #if defined (ARM_MATH_DSP) */ + + +} + +/** + * @} end of BasicSub group + */ diff --git a/fw/hid-dials/Drivers/CMSIS/DSP/Source/BasicMathFunctions/arm_sub_q31.c b/fw/hid-dials/Drivers/CMSIS/DSP/Source/BasicMathFunctions/arm_sub_q31.c new file mode 100644 index 0000000..1c83aae --- /dev/null +++ b/fw/hid-dials/Drivers/CMSIS/DSP/Source/BasicMathFunctions/arm_sub_q31.c @@ -0,0 +1,134 @@ +/* ---------------------------------------------------------------------- + * Project: CMSIS DSP Library + * Title: arm_sub_q31.c + * Description: Q31 vector subtraction + * + * $Date: 27. January 2017 + * $Revision: V.1.5.1 + * + * Target Processor: Cortex-M cores + * -------------------------------------------------------------------- */ +/* + * Copyright (C) 2010-2017 ARM Limited or its affiliates. All rights reserved. + * + * SPDX-License-Identifier: Apache-2.0 + * + * Licensed under the Apache License, Version 2.0 (the License); you may + * not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an AS IS BASIS, WITHOUT + * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ + +#include "arm_math.h" + +/** + * @ingroup groupMath + */ + +/** + * @addtogroup BasicSub + * @{ + */ + +/** + * @brief Q31 vector subtraction. + * @param[in] *pSrcA points to the first input vector + * @param[in] *pSrcB points to the second input vector + * @param[out] *pDst points to the output vector + * @param[in] blockSize number of samples in each vector + * @return none. + * + * Scaling and Overflow Behavior: + * \par + * The function uses saturating arithmetic. + * Results outside of the allowable Q31 range [0x80000000 0x7FFFFFFF] will be saturated. + */ + +void arm_sub_q31( + q31_t * pSrcA, + q31_t * pSrcB, + q31_t * pDst, + uint32_t blockSize) +{ + uint32_t blkCnt; /* loop counter */ + + +#if defined (ARM_MATH_DSP) + +/* Run the below code for Cortex-M4 and Cortex-M3 */ + q31_t inA1, inA2, inA3, inA4; + q31_t inB1, inB2, inB3, inB4; + + /*loop Unrolling */ + blkCnt = blockSize >> 2U; + + /* First part of the processing with loop unrolling. Compute 4 outputs at a time. + ** a second loop below computes the remaining 1 to 3 samples. */ + while (blkCnt > 0U) + { + /* C = A - B */ + /* Subtract and then store the results in the destination buffer. */ + inA1 = *pSrcA++; + inA2 = *pSrcA++; + inB1 = *pSrcB++; + inB2 = *pSrcB++; + + inA3 = *pSrcA++; + inA4 = *pSrcA++; + inB3 = *pSrcB++; + inB4 = *pSrcB++; + + *pDst++ = __QSUB(inA1, inB1); + *pDst++ = __QSUB(inA2, inB2); + *pDst++ = __QSUB(inA3, inB3); + *pDst++ = __QSUB(inA4, inB4); + + /* Decrement the loop counter */ + blkCnt--; + } + + /* If the blockSize is not a multiple of 4, compute any remaining output samples here. + ** No loop unrolling is used. */ + blkCnt = blockSize % 0x4U; + + while (blkCnt > 0U) + { + /* C = A - B */ + /* Subtract and then store the result in the destination buffer. */ + *pDst++ = __QSUB(*pSrcA++, *pSrcB++); + + /* Decrement the loop counter */ + blkCnt--; + } + +#else + + /* Run the below code for Cortex-M0 */ + + /* Initialize blkCnt with number of samples */ + blkCnt = blockSize; + + while (blkCnt > 0U) + { + /* C = A - B */ + /* Subtract and then store the result in the destination buffer. */ + *pDst++ = (q31_t) clip_q63_to_q31((q63_t) * pSrcA++ - *pSrcB++); + + /* Decrement the loop counter */ + blkCnt--; + } + +#endif /* #if defined (ARM_MATH_DSP) */ + +} + +/** + * @} end of BasicSub group + */ diff --git a/fw/hid-dials/Drivers/CMSIS/DSP/Source/BasicMathFunctions/arm_sub_q7.c b/fw/hid-dials/Drivers/CMSIS/DSP/Source/BasicMathFunctions/arm_sub_q7.c new file mode 100644 index 0000000..8f8e111 --- /dev/null +++ b/fw/hid-dials/Drivers/CMSIS/DSP/Source/BasicMathFunctions/arm_sub_q7.c @@ -0,0 +1,119 @@ +/* ---------------------------------------------------------------------- + * Project: CMSIS DSP Library + * Title: arm_sub_q7.c + * Description: Q7 vector subtraction + * + * $Date: 27. January 2017 + * $Revision: V.1.5.1 + * + * Target Processor: Cortex-M cores + * -------------------------------------------------------------------- */ +/* + * Copyright (C) 2010-2017 ARM Limited or its affiliates. All rights reserved. + * + * SPDX-License-Identifier: Apache-2.0 + * + * Licensed under the Apache License, Version 2.0 (the License); you may + * not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an AS IS BASIS, WITHOUT + * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ + +#include "arm_math.h" + +/** + * @ingroup groupMath + */ + +/** + * @addtogroup BasicSub + * @{ + */ + +/** + * @brief Q7 vector subtraction. + * @param[in] *pSrcA points to the first input vector + * @param[in] *pSrcB points to the second input vector + * @param[out] *pDst points to the output vector + * @param[in] blockSize number of samples in each vector + * @return none. + * + * Scaling and Overflow Behavior: + * \par + * The function uses saturating arithmetic. + * Results outside of the allowable Q7 range [0x80 0x7F] will be saturated. + */ + +void arm_sub_q7( + q7_t * pSrcA, + q7_t * pSrcB, + q7_t * pDst, + uint32_t blockSize) +{ + uint32_t blkCnt; /* loop counter */ + +#if defined (ARM_MATH_DSP) + +/* Run the below code for Cortex-M4 and Cortex-M3 */ + + /*loop Unrolling */ + blkCnt = blockSize >> 2U; + + /* First part of the processing with loop unrolling. Compute 4 outputs at a time. + ** a second loop below computes the remaining 1 to 3 samples. */ + while (blkCnt > 0U) + { + /* C = A - B */ + /* Subtract and then store the results in the destination buffer 4 samples at a time. */ + *__SIMD32(pDst)++ = __QSUB8(*__SIMD32(pSrcA)++, *__SIMD32(pSrcB)++); + + /* Decrement the loop counter */ + blkCnt--; + } + + /* If the blockSize is not a multiple of 4, compute any remaining output samples here. + ** No loop unrolling is used. */ + blkCnt = blockSize % 0x4U; + + while (blkCnt > 0U) + { + /* C = A - B */ + /* Subtract and then store the result in the destination buffer. */ + *pDst++ = __SSAT(*pSrcA++ - *pSrcB++, 8); + + /* Decrement the loop counter */ + blkCnt--; + } + +#else + + /* Run the below code for Cortex-M0 */ + + /* Initialize blkCnt with number of samples */ + blkCnt = blockSize; + + while (blkCnt > 0U) + { + /* C = A - B */ + /* Subtract and then store the result in the destination buffer. */ + *pDst++ = (q7_t) __SSAT((q15_t) * pSrcA++ - *pSrcB++, 8); + + /* Decrement the loop counter */ + blkCnt--; + } + +#endif /* #if defined (ARM_MATH_DSP) */ + + +} + +/** + * @} end of BasicSub group + */ diff --git a/fw/hid-dials/Drivers/CMSIS/DSP/Source/CommonTables/arm_common_tables.c b/fw/hid-dials/Drivers/CMSIS/DSP/Source/CommonTables/arm_common_tables.c new file mode 100644 index 0000000..bb5c15a --- /dev/null +++ b/fw/hid-dials/Drivers/CMSIS/DSP/Source/CommonTables/arm_common_tables.c @@ -0,0 +1,22176 @@ +/* ---------------------------------------------------------------------- + * Project: CMSIS DSP Library + * Title: arm_common_tables.c + * Description: common tables like fft twiddle factors, Bitreverse, reciprocal etc + * + * $Date: 27. January 2017 + * $Revision: V.1.5.1 + * + * Target Processor: Cortex-M cores + * -------------------------------------------------------------------- */ +/* + * Copyright (C) 2010-2017 ARM Limited or its affiliates. All rights reserved. + * + * SPDX-License-Identifier: Apache-2.0 + * + * Licensed under the Apache License, Version 2.0 (the License); you may + * not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an AS IS BASIS, WITHOUT + * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ + +#include "arm_math.h" +#include "arm_common_tables.h" + +/** + * @ingroup ComplexFFT + */ + +/** + * @addtogroup CFFT_CIFFT Complex FFT Tables + * @{ + */ + +/** +* \par +* Pseudo code for Generation of Bit reversal Table is +* \par +*
for(l=1;l <= N/4;l++)
+* {
+*   for(i=0;i> 1;
+*  } 
+* \par +* where N = 4096 logN2 = 12 +* \par +* N is the maximum FFT Size supported +*/ + +/* +* @brief Table for bit reversal process +*/ +const uint16_t armBitRevTable[1024] = { + 0x400, 0x200, 0x600, 0x100, 0x500, 0x300, 0x700, 0x80, 0x480, 0x280, + 0x680, 0x180, 0x580, 0x380, 0x780, 0x40, 0x440, 0x240, 0x640, 0x140, + 0x540, 0x340, 0x740, 0xc0, 0x4c0, 0x2c0, 0x6c0, 0x1c0, 0x5c0, 0x3c0, + 0x7c0, 0x20, 0x420, 0x220, 0x620, 0x120, 0x520, 0x320, 0x720, 0xa0, + 0x4a0, 0x2a0, 0x6a0, 0x1a0, 0x5a0, 0x3a0, 0x7a0, 0x60, 0x460, 0x260, + 0x660, 0x160, 0x560, 0x360, 0x760, 0xe0, 0x4e0, 0x2e0, 0x6e0, 0x1e0, + 0x5e0, 0x3e0, 0x7e0, 0x10, 0x410, 0x210, 0x610, 0x110, 0x510, 0x310, + 0x710, 0x90, 0x490, 0x290, 0x690, 0x190, 0x590, 0x390, 0x790, 0x50, + 0x450, 0x250, 0x650, 0x150, 0x550, 0x350, 0x750, 0xd0, 0x4d0, 0x2d0, + 0x6d0, 0x1d0, 0x5d0, 0x3d0, 0x7d0, 0x30, 0x430, 0x230, 0x630, 0x130, + 0x530, 0x330, 0x730, 0xb0, 0x4b0, 0x2b0, 0x6b0, 0x1b0, 0x5b0, 0x3b0, + 0x7b0, 0x70, 0x470, 0x270, 0x670, 0x170, 0x570, 0x370, 0x770, 0xf0, + 0x4f0, 0x2f0, 0x6f0, 0x1f0, 0x5f0, 0x3f0, 0x7f0, 0x8, 0x408, 0x208, + 0x608, 0x108, 0x508, 0x308, 0x708, 0x88, 0x488, 0x288, 0x688, 0x188, + 0x588, 0x388, 0x788, 0x48, 0x448, 0x248, 0x648, 0x148, 0x548, 0x348, + 0x748, 0xc8, 0x4c8, 0x2c8, 0x6c8, 0x1c8, 0x5c8, 0x3c8, 0x7c8, 0x28, + 0x428, 0x228, 0x628, 0x128, 0x528, 0x328, 0x728, 0xa8, 0x4a8, 0x2a8, + 0x6a8, 0x1a8, 0x5a8, 0x3a8, 0x7a8, 0x68, 0x468, 0x268, 0x668, 0x168, + 0x568, 0x368, 0x768, 0xe8, 0x4e8, 0x2e8, 0x6e8, 0x1e8, 0x5e8, 0x3e8, + 0x7e8, 0x18, 0x418, 0x218, 0x618, 0x118, 0x518, 0x318, 0x718, 0x98, + 0x498, 0x298, 0x698, 0x198, 0x598, 0x398, 0x798, 0x58, 0x458, 0x258, + 0x658, 0x158, 0x558, 0x358, 0x758, 0xd8, 0x4d8, 0x2d8, 0x6d8, 0x1d8, + 0x5d8, 0x3d8, 0x7d8, 0x38, 0x438, 0x238, 0x638, 0x138, 0x538, 0x338, + 0x738, 0xb8, 0x4b8, 0x2b8, 0x6b8, 0x1b8, 0x5b8, 0x3b8, 0x7b8, 0x78, + 0x478, 0x278, 0x678, 0x178, 0x578, 0x378, 0x778, 0xf8, 0x4f8, 0x2f8, + 0x6f8, 0x1f8, 0x5f8, 0x3f8, 0x7f8, 0x4, 0x404, 0x204, 0x604, 0x104, + 0x504, 0x304, 0x704, 0x84, 0x484, 0x284, 0x684, 0x184, 0x584, 0x384, + 0x784, 0x44, 0x444, 0x244, 0x644, 0x144, 0x544, 0x344, 0x744, 0xc4, + 0x4c4, 0x2c4, 0x6c4, 0x1c4, 0x5c4, 0x3c4, 0x7c4, 0x24, 0x424, 0x224, + 0x624, 0x124, 0x524, 0x324, 0x724, 0xa4, 0x4a4, 0x2a4, 0x6a4, 0x1a4, + 0x5a4, 0x3a4, 0x7a4, 0x64, 0x464, 0x264, 0x664, 0x164, 0x564, 0x364, + 0x764, 0xe4, 0x4e4, 0x2e4, 0x6e4, 0x1e4, 0x5e4, 0x3e4, 0x7e4, 0x14, + 0x414, 0x214, 0x614, 0x114, 0x514, 0x314, 0x714, 0x94, 0x494, 0x294, + 0x694, 0x194, 0x594, 0x394, 0x794, 0x54, 0x454, 0x254, 0x654, 0x154, + 0x554, 0x354, 0x754, 0xd4, 0x4d4, 0x2d4, 0x6d4, 0x1d4, 0x5d4, 0x3d4, + 0x7d4, 0x34, 0x434, 0x234, 0x634, 0x134, 0x534, 0x334, 0x734, 0xb4, + 0x4b4, 0x2b4, 0x6b4, 0x1b4, 0x5b4, 0x3b4, 0x7b4, 0x74, 0x474, 0x274, + 0x674, 0x174, 0x574, 0x374, 0x774, 0xf4, 0x4f4, 0x2f4, 0x6f4, 0x1f4, + 0x5f4, 0x3f4, 0x7f4, 0xc, 0x40c, 0x20c, 0x60c, 0x10c, 0x50c, 0x30c, + 0x70c, 0x8c, 0x48c, 0x28c, 0x68c, 0x18c, 0x58c, 0x38c, 0x78c, 0x4c, + 0x44c, 0x24c, 0x64c, 0x14c, 0x54c, 0x34c, 0x74c, 0xcc, 0x4cc, 0x2cc, + 0x6cc, 0x1cc, 0x5cc, 0x3cc, 0x7cc, 0x2c, 0x42c, 0x22c, 0x62c, 0x12c, + 0x52c, 0x32c, 0x72c, 0xac, 0x4ac, 0x2ac, 0x6ac, 0x1ac, 0x5ac, 0x3ac, + 0x7ac, 0x6c, 0x46c, 0x26c, 0x66c, 0x16c, 0x56c, 0x36c, 0x76c, 0xec, + 0x4ec, 0x2ec, 0x6ec, 0x1ec, 0x5ec, 0x3ec, 0x7ec, 0x1c, 0x41c, 0x21c, + 0x61c, 0x11c, 0x51c, 0x31c, 0x71c, 0x9c, 0x49c, 0x29c, 0x69c, 0x19c, + 0x59c, 0x39c, 0x79c, 0x5c, 0x45c, 0x25c, 0x65c, 0x15c, 0x55c, 0x35c, + 0x75c, 0xdc, 0x4dc, 0x2dc, 0x6dc, 0x1dc, 0x5dc, 0x3dc, 0x7dc, 0x3c, + 0x43c, 0x23c, 0x63c, 0x13c, 0x53c, 0x33c, 0x73c, 0xbc, 0x4bc, 0x2bc, + 0x6bc, 0x1bc, 0x5bc, 0x3bc, 0x7bc, 0x7c, 0x47c, 0x27c, 0x67c, 0x17c, + 0x57c, 0x37c, 0x77c, 0xfc, 0x4fc, 0x2fc, 0x6fc, 0x1fc, 0x5fc, 0x3fc, + 0x7fc, 0x2, 0x402, 0x202, 0x602, 0x102, 0x502, 0x302, 0x702, 0x82, + 0x482, 0x282, 0x682, 0x182, 0x582, 0x382, 0x782, 0x42, 0x442, 0x242, + 0x642, 0x142, 0x542, 0x342, 0x742, 0xc2, 0x4c2, 0x2c2, 0x6c2, 0x1c2, + 0x5c2, 0x3c2, 0x7c2, 0x22, 0x422, 0x222, 0x622, 0x122, 0x522, 0x322, + 0x722, 0xa2, 0x4a2, 0x2a2, 0x6a2, 0x1a2, 0x5a2, 0x3a2, 0x7a2, 0x62, + 0x462, 0x262, 0x662, 0x162, 0x562, 0x362, 0x762, 0xe2, 0x4e2, 0x2e2, + 0x6e2, 0x1e2, 0x5e2, 0x3e2, 0x7e2, 0x12, 0x412, 0x212, 0x612, 0x112, + 0x512, 0x312, 0x712, 0x92, 0x492, 0x292, 0x692, 0x192, 0x592, 0x392, + 0x792, 0x52, 0x452, 0x252, 0x652, 0x152, 0x552, 0x352, 0x752, 0xd2, + 0x4d2, 0x2d2, 0x6d2, 0x1d2, 0x5d2, 0x3d2, 0x7d2, 0x32, 0x432, 0x232, + 0x632, 0x132, 0x532, 0x332, 0x732, 0xb2, 0x4b2, 0x2b2, 0x6b2, 0x1b2, + 0x5b2, 0x3b2, 0x7b2, 0x72, 0x472, 0x272, 0x672, 0x172, 0x572, 0x372, + 0x772, 0xf2, 0x4f2, 0x2f2, 0x6f2, 0x1f2, 0x5f2, 0x3f2, 0x7f2, 0xa, + 0x40a, 0x20a, 0x60a, 0x10a, 0x50a, 0x30a, 0x70a, 0x8a, 0x48a, 0x28a, + 0x68a, 0x18a, 0x58a, 0x38a, 0x78a, 0x4a, 0x44a, 0x24a, 0x64a, 0x14a, + 0x54a, 0x34a, 0x74a, 0xca, 0x4ca, 0x2ca, 0x6ca, 0x1ca, 0x5ca, 0x3ca, + 0x7ca, 0x2a, 0x42a, 0x22a, 0x62a, 0x12a, 0x52a, 0x32a, 0x72a, 0xaa, + 0x4aa, 0x2aa, 0x6aa, 0x1aa, 0x5aa, 0x3aa, 0x7aa, 0x6a, 0x46a, 0x26a, + 0x66a, 0x16a, 0x56a, 0x36a, 0x76a, 0xea, 0x4ea, 0x2ea, 0x6ea, 0x1ea, + 0x5ea, 0x3ea, 0x7ea, 0x1a, 0x41a, 0x21a, 0x61a, 0x11a, 0x51a, 0x31a, + 0x71a, 0x9a, 0x49a, 0x29a, 0x69a, 0x19a, 0x59a, 0x39a, 0x79a, 0x5a, + 0x45a, 0x25a, 0x65a, 0x15a, 0x55a, 0x35a, 0x75a, 0xda, 0x4da, 0x2da, + 0x6da, 0x1da, 0x5da, 0x3da, 0x7da, 0x3a, 0x43a, 0x23a, 0x63a, 0x13a, + 0x53a, 0x33a, 0x73a, 0xba, 0x4ba, 0x2ba, 0x6ba, 0x1ba, 0x5ba, 0x3ba, + 0x7ba, 0x7a, 0x47a, 0x27a, 0x67a, 0x17a, 0x57a, 0x37a, 0x77a, 0xfa, + 0x4fa, 0x2fa, 0x6fa, 0x1fa, 0x5fa, 0x3fa, 0x7fa, 0x6, 0x406, 0x206, + 0x606, 0x106, 0x506, 0x306, 0x706, 0x86, 0x486, 0x286, 0x686, 0x186, + 0x586, 0x386, 0x786, 0x46, 0x446, 0x246, 0x646, 0x146, 0x546, 0x346, + 0x746, 0xc6, 0x4c6, 0x2c6, 0x6c6, 0x1c6, 0x5c6, 0x3c6, 0x7c6, 0x26, + 0x426, 0x226, 0x626, 0x126, 0x526, 0x326, 0x726, 0xa6, 0x4a6, 0x2a6, + 0x6a6, 0x1a6, 0x5a6, 0x3a6, 0x7a6, 0x66, 0x466, 0x266, 0x666, 0x166, + 0x566, 0x366, 0x766, 0xe6, 0x4e6, 0x2e6, 0x6e6, 0x1e6, 0x5e6, 0x3e6, + 0x7e6, 0x16, 0x416, 0x216, 0x616, 0x116, 0x516, 0x316, 0x716, 0x96, + 0x496, 0x296, 0x696, 0x196, 0x596, 0x396, 0x796, 0x56, 0x456, 0x256, + 0x656, 0x156, 0x556, 0x356, 0x756, 0xd6, 0x4d6, 0x2d6, 0x6d6, 0x1d6, + 0x5d6, 0x3d6, 0x7d6, 0x36, 0x436, 0x236, 0x636, 0x136, 0x536, 0x336, + 0x736, 0xb6, 0x4b6, 0x2b6, 0x6b6, 0x1b6, 0x5b6, 0x3b6, 0x7b6, 0x76, + 0x476, 0x276, 0x676, 0x176, 0x576, 0x376, 0x776, 0xf6, 0x4f6, 0x2f6, + 0x6f6, 0x1f6, 0x5f6, 0x3f6, 0x7f6, 0xe, 0x40e, 0x20e, 0x60e, 0x10e, + 0x50e, 0x30e, 0x70e, 0x8e, 0x48e, 0x28e, 0x68e, 0x18e, 0x58e, 0x38e, + 0x78e, 0x4e, 0x44e, 0x24e, 0x64e, 0x14e, 0x54e, 0x34e, 0x74e, 0xce, + 0x4ce, 0x2ce, 0x6ce, 0x1ce, 0x5ce, 0x3ce, 0x7ce, 0x2e, 0x42e, 0x22e, + 0x62e, 0x12e, 0x52e, 0x32e, 0x72e, 0xae, 0x4ae, 0x2ae, 0x6ae, 0x1ae, + 0x5ae, 0x3ae, 0x7ae, 0x6e, 0x46e, 0x26e, 0x66e, 0x16e, 0x56e, 0x36e, + 0x76e, 0xee, 0x4ee, 0x2ee, 0x6ee, 0x1ee, 0x5ee, 0x3ee, 0x7ee, 0x1e, + 0x41e, 0x21e, 0x61e, 0x11e, 0x51e, 0x31e, 0x71e, 0x9e, 0x49e, 0x29e, + 0x69e, 0x19e, 0x59e, 0x39e, 0x79e, 0x5e, 0x45e, 0x25e, 0x65e, 0x15e, + 0x55e, 0x35e, 0x75e, 0xde, 0x4de, 0x2de, 0x6de, 0x1de, 0x5de, 0x3de, + 0x7de, 0x3e, 0x43e, 0x23e, 0x63e, 0x13e, 0x53e, 0x33e, 0x73e, 0xbe, + 0x4be, 0x2be, 0x6be, 0x1be, 0x5be, 0x3be, 0x7be, 0x7e, 0x47e, 0x27e, + 0x67e, 0x17e, 0x57e, 0x37e, 0x77e, 0xfe, 0x4fe, 0x2fe, 0x6fe, 0x1fe, + 0x5fe, 0x3fe, 0x7fe, 0x1 +}; + + +/* +* @brief Floating-point Twiddle factors Table Generation +*/ + +/** +* \par +* Example code for Floating-point Twiddle factors Generation: +* \par +*
for(i = 0; i< N/; i++)
+* {
+*	twiddleCoef[2*i]= cos(i * 2*PI/(float)N);
+*	twiddleCoef[2*i+1]= sin(i * 2*PI/(float)N);
+* } 
+* \par +* where N = 16 and PI = 3.14159265358979 +* \par +* Cos and Sin values are in interleaved fashion +* +*/ +const float32_t twiddleCoef_16[32] = { + 1.000000000f, 0.000000000f, + 0.923879533f, 0.382683432f, + 0.707106781f, 0.707106781f, + 0.382683432f, 0.923879533f, + 0.000000000f, 1.000000000f, + -0.382683432f, 0.923879533f, + -0.707106781f, 0.707106781f, + -0.923879533f, 0.382683432f, + -1.000000000f, 0.000000000f, + -0.923879533f, -0.382683432f, + -0.707106781f, -0.707106781f, + -0.382683432f, -0.923879533f, + -0.000000000f, -1.000000000f, + 0.382683432f, -0.923879533f, + 0.707106781f, -0.707106781f, + 0.923879533f, -0.382683432f +}; + +/** +* \par +* Example code for Floating-point Twiddle factors Generation: +* \par +*
for(i = 0; i< N/; i++)
+* {
+*	twiddleCoef[2*i]= cos(i * 2*PI/(float)N);
+*	twiddleCoef[2*i+1]= sin(i * 2*PI/(float)N);
+* } 
+* \par +* where N = 32 and PI = 3.14159265358979 +* \par +* Cos and Sin values are in interleaved fashion +* +*/ +const float32_t twiddleCoef_32[64] = { + 1.000000000f, 0.000000000f, + 0.980785280f, 0.195090322f, + 0.923879533f, 0.382683432f, + 0.831469612f, 0.555570233f, + 0.707106781f, 0.707106781f, + 0.555570233f, 0.831469612f, + 0.382683432f, 0.923879533f, + 0.195090322f, 0.980785280f, + 0.000000000f, 1.000000000f, + -0.195090322f, 0.980785280f, + -0.382683432f, 0.923879533f, + -0.555570233f, 0.831469612f, + -0.707106781f, 0.707106781f, + -0.831469612f, 0.555570233f, + -0.923879533f, 0.382683432f, + -0.980785280f, 0.195090322f, + -1.000000000f, 0.000000000f, + -0.980785280f, -0.195090322f, + -0.923879533f, -0.382683432f, + -0.831469612f, -0.555570233f, + -0.707106781f, -0.707106781f, + -0.555570233f, -0.831469612f, + -0.382683432f, -0.923879533f, + -0.195090322f, -0.980785280f, + -0.000000000f, -1.000000000f, + 0.195090322f, -0.980785280f, + 0.382683432f, -0.923879533f, + 0.555570233f, -0.831469612f, + 0.707106781f, -0.707106781f, + 0.831469612f, -0.555570233f, + 0.923879533f, -0.382683432f, + 0.980785280f, -0.195090322f +}; + +/** +* \par +* Example code for Floating-point Twiddle factors Generation: +* \par +*
for(i = 0; i< N/; i++)
+* {
+*	twiddleCoef[2*i]= cos(i * 2*PI/(float)N);
+*	twiddleCoef[2*i+1]= sin(i * 2*PI/(float)N);
+* } 
+* \par +* where N = 64 and PI = 3.14159265358979 +* \par +* Cos and Sin values are in interleaved fashion +* +*/ +const float32_t twiddleCoef_64[128] = { + 1.000000000f, 0.000000000f, + 0.995184727f, 0.098017140f, + 0.980785280f, 0.195090322f, + 0.956940336f, 0.290284677f, + 0.923879533f, 0.382683432f, + 0.881921264f, 0.471396737f, + 0.831469612f, 0.555570233f, + 0.773010453f, 0.634393284f, + 0.707106781f, 0.707106781f, + 0.634393284f, 0.773010453f, + 0.555570233f, 0.831469612f, + 0.471396737f, 0.881921264f, + 0.382683432f, 0.923879533f, + 0.290284677f, 0.956940336f, + 0.195090322f, 0.980785280f, + 0.098017140f, 0.995184727f, + 0.000000000f, 1.000000000f, + -0.098017140f, 0.995184727f, + -0.195090322f, 0.980785280f, + -0.290284677f, 0.956940336f, + -0.382683432f, 0.923879533f, + -0.471396737f, 0.881921264f, + -0.555570233f, 0.831469612f, + -0.634393284f, 0.773010453f, + -0.707106781f, 0.707106781f, + -0.773010453f, 0.634393284f, + -0.831469612f, 0.555570233f, + -0.881921264f, 0.471396737f, + -0.923879533f, 0.382683432f, + -0.956940336f, 0.290284677f, + -0.980785280f, 0.195090322f, + -0.995184727f, 0.098017140f, + -1.000000000f, 0.000000000f, + -0.995184727f, -0.098017140f, + -0.980785280f, -0.195090322f, + -0.956940336f, -0.290284677f, + -0.923879533f, -0.382683432f, + -0.881921264f, -0.471396737f, + -0.831469612f, -0.555570233f, + -0.773010453f, -0.634393284f, + -0.707106781f, -0.707106781f, + -0.634393284f, -0.773010453f, + -0.555570233f, -0.831469612f, + -0.471396737f, -0.881921264f, + -0.382683432f, -0.923879533f, + -0.290284677f, -0.956940336f, + -0.195090322f, -0.980785280f, + -0.098017140f, -0.995184727f, + -0.000000000f, -1.000000000f, + 0.098017140f, -0.995184727f, + 0.195090322f, -0.980785280f, + 0.290284677f, -0.956940336f, + 0.382683432f, -0.923879533f, + 0.471396737f, -0.881921264f, + 0.555570233f, -0.831469612f, + 0.634393284f, -0.773010453f, + 0.707106781f, -0.707106781f, + 0.773010453f, -0.634393284f, + 0.831469612f, -0.555570233f, + 0.881921264f, -0.471396737f, + 0.923879533f, -0.382683432f, + 0.956940336f, -0.290284677f, + 0.980785280f, -0.195090322f, + 0.995184727f, -0.098017140f +}; + +/** +* \par +* Example code for Floating-point Twiddle factors Generation: +* \par +*
for(i = 0; i< N/; i++)
+* {
+*	twiddleCoef[2*i]= cos(i * 2*PI/(float)N);
+*	twiddleCoef[2*i+1]= sin(i * 2*PI/(float)N);
+* } 
+* \par +* where N = 128 and PI = 3.14159265358979 +* \par +* Cos and Sin values are in interleaved fashion +* +*/ + +const float32_t twiddleCoef_128[256] = { + 1.000000000f, 0.000000000f, + 0.998795456f, 0.049067674f, + 0.995184727f, 0.098017140f, + 0.989176510f, 0.146730474f, + 0.980785280f, 0.195090322f, + 0.970031253f, 0.242980180f, + 0.956940336f, 0.290284677f, + 0.941544065f, 0.336889853f, + 0.923879533f, 0.382683432f, + 0.903989293f, 0.427555093f, + 0.881921264f, 0.471396737f, + 0.857728610f, 0.514102744f, + 0.831469612f, 0.555570233f, + 0.803207531f, 0.595699304f, + 0.773010453f, 0.634393284f, + 0.740951125f, 0.671558955f, + 0.707106781f, 0.707106781f, + 0.671558955f, 0.740951125f, + 0.634393284f, 0.773010453f, + 0.595699304f, 0.803207531f, + 0.555570233f, 0.831469612f, + 0.514102744f, 0.857728610f, + 0.471396737f, 0.881921264f, + 0.427555093f, 0.903989293f, + 0.382683432f, 0.923879533f, + 0.336889853f, 0.941544065f, + 0.290284677f, 0.956940336f, + 0.242980180f, 0.970031253f, + 0.195090322f, 0.980785280f, + 0.146730474f, 0.989176510f, + 0.098017140f, 0.995184727f, + 0.049067674f, 0.998795456f, + 0.000000000f, 1.000000000f, + -0.049067674f, 0.998795456f, + -0.098017140f, 0.995184727f, + -0.146730474f, 0.989176510f, + -0.195090322f, 0.980785280f, + -0.242980180f, 0.970031253f, + -0.290284677f, 0.956940336f, + -0.336889853f, 0.941544065f, + -0.382683432f, 0.923879533f, + -0.427555093f, 0.903989293f, + -0.471396737f, 0.881921264f, + -0.514102744f, 0.857728610f, + -0.555570233f, 0.831469612f, + -0.595699304f, 0.803207531f, + -0.634393284f, 0.773010453f, + -0.671558955f, 0.740951125f, + -0.707106781f, 0.707106781f, + -0.740951125f, 0.671558955f, + -0.773010453f, 0.634393284f, + -0.803207531f, 0.595699304f, + -0.831469612f, 0.555570233f, + -0.857728610f, 0.514102744f, + -0.881921264f, 0.471396737f, + -0.903989293f, 0.427555093f, + -0.923879533f, 0.382683432f, + -0.941544065f, 0.336889853f, + -0.956940336f, 0.290284677f, + -0.970031253f, 0.242980180f, + -0.980785280f, 0.195090322f, + -0.989176510f, 0.146730474f, + -0.995184727f, 0.098017140f, + -0.998795456f, 0.049067674f, + -1.000000000f, 0.000000000f, + -0.998795456f, -0.049067674f, + -0.995184727f, -0.098017140f, + -0.989176510f, -0.146730474f, + -0.980785280f, -0.195090322f, + -0.970031253f, -0.242980180f, + -0.956940336f, -0.290284677f, + -0.941544065f, -0.336889853f, + -0.923879533f, -0.382683432f, + -0.903989293f, -0.427555093f, + -0.881921264f, -0.471396737f, + -0.857728610f, -0.514102744f, + -0.831469612f, -0.555570233f, + -0.803207531f, -0.595699304f, + -0.773010453f, -0.634393284f, + -0.740951125f, -0.671558955f, + -0.707106781f, -0.707106781f, + -0.671558955f, -0.740951125f, + -0.634393284f, -0.773010453f, + -0.595699304f, -0.803207531f, + -0.555570233f, -0.831469612f, + -0.514102744f, -0.857728610f, + -0.471396737f, -0.881921264f, + -0.427555093f, -0.903989293f, + -0.382683432f, -0.923879533f, + -0.336889853f, -0.941544065f, + -0.290284677f, -0.956940336f, + -0.242980180f, -0.970031253f, + -0.195090322f, -0.980785280f, + -0.146730474f, -0.989176510f, + -0.098017140f, -0.995184727f, + -0.049067674f, -0.998795456f, + -0.000000000f, -1.000000000f, + 0.049067674f, -0.998795456f, + 0.098017140f, -0.995184727f, + 0.146730474f, -0.989176510f, + 0.195090322f, -0.980785280f, + 0.242980180f, -0.970031253f, + 0.290284677f, -0.956940336f, + 0.336889853f, -0.941544065f, + 0.382683432f, -0.923879533f, + 0.427555093f, -0.903989293f, + 0.471396737f, -0.881921264f, + 0.514102744f, -0.857728610f, + 0.555570233f, -0.831469612f, + 0.595699304f, -0.803207531f, + 0.634393284f, -0.773010453f, + 0.671558955f, -0.740951125f, + 0.707106781f, -0.707106781f, + 0.740951125f, -0.671558955f, + 0.773010453f, -0.634393284f, + 0.803207531f, -0.595699304f, + 0.831469612f, -0.555570233f, + 0.857728610f, -0.514102744f, + 0.881921264f, -0.471396737f, + 0.903989293f, -0.427555093f, + 0.923879533f, -0.382683432f, + 0.941544065f, -0.336889853f, + 0.956940336f, -0.290284677f, + 0.970031253f, -0.242980180f, + 0.980785280f, -0.195090322f, + 0.989176510f, -0.146730474f, + 0.995184727f, -0.098017140f, + 0.998795456f, -0.049067674f +}; + +/** +* \par +* Example code for Floating-point Twiddle factors Generation: +* \par +*
for(i = 0; i< N/; i++)
+* {
+*	twiddleCoef[2*i]= cos(i * 2*PI/(float)N);
+*	twiddleCoef[2*i+1]= sin(i * 2*PI/(float)N);
+* } 
+* \par +* where N = 256 and PI = 3.14159265358979 +* \par +* Cos and Sin values are in interleaved fashion +* +*/ +const float32_t twiddleCoef_256[512] = { + 1.000000000f, 0.000000000f, + 0.999698819f, 0.024541229f, + 0.998795456f, 0.049067674f, + 0.997290457f, 0.073564564f, + 0.995184727f, 0.098017140f, + 0.992479535f, 0.122410675f, + 0.989176510f, 0.146730474f, + 0.985277642f, 0.170961889f, + 0.980785280f, 0.195090322f, + 0.975702130f, 0.219101240f, + 0.970031253f, 0.242980180f, + 0.963776066f, 0.266712757f, + 0.956940336f, 0.290284677f, + 0.949528181f, 0.313681740f, + 0.941544065f, 0.336889853f, + 0.932992799f, 0.359895037f, + 0.923879533f, 0.382683432f, + 0.914209756f, 0.405241314f, + 0.903989293f, 0.427555093f, + 0.893224301f, 0.449611330f, + 0.881921264f, 0.471396737f, + 0.870086991f, 0.492898192f, + 0.857728610f, 0.514102744f, + 0.844853565f, 0.534997620f, + 0.831469612f, 0.555570233f, + 0.817584813f, 0.575808191f, + 0.803207531f, 0.595699304f, + 0.788346428f, 0.615231591f, + 0.773010453f, 0.634393284f, + 0.757208847f, 0.653172843f, + 0.740951125f, 0.671558955f, + 0.724247083f, 0.689540545f, + 0.707106781f, 0.707106781f, + 0.689540545f, 0.724247083f, + 0.671558955f, 0.740951125f, + 0.653172843f, 0.757208847f, + 0.634393284f, 0.773010453f, + 0.615231591f, 0.788346428f, + 0.595699304f, 0.803207531f, + 0.575808191f, 0.817584813f, + 0.555570233f, 0.831469612f, + 0.534997620f, 0.844853565f, + 0.514102744f, 0.857728610f, + 0.492898192f, 0.870086991f, + 0.471396737f, 0.881921264f, + 0.449611330f, 0.893224301f, + 0.427555093f, 0.903989293f, + 0.405241314f, 0.914209756f, + 0.382683432f, 0.923879533f, + 0.359895037f, 0.932992799f, + 0.336889853f, 0.941544065f, + 0.313681740f, 0.949528181f, + 0.290284677f, 0.956940336f, + 0.266712757f, 0.963776066f, + 0.242980180f, 0.970031253f, + 0.219101240f, 0.975702130f, + 0.195090322f, 0.980785280f, + 0.170961889f, 0.985277642f, + 0.146730474f, 0.989176510f, + 0.122410675f, 0.992479535f, + 0.098017140f, 0.995184727f, + 0.073564564f, 0.997290457f, + 0.049067674f, 0.998795456f, + 0.024541229f, 0.999698819f, + 0.000000000f, 1.000000000f, + -0.024541229f, 0.999698819f, + -0.049067674f, 0.998795456f, + -0.073564564f, 0.997290457f, + -0.098017140f, 0.995184727f, + -0.122410675f, 0.992479535f, + -0.146730474f, 0.989176510f, + -0.170961889f, 0.985277642f, + -0.195090322f, 0.980785280f, + -0.219101240f, 0.975702130f, + -0.242980180f, 0.970031253f, + -0.266712757f, 0.963776066f, + -0.290284677f, 0.956940336f, + -0.313681740f, 0.949528181f, + -0.336889853f, 0.941544065f, + -0.359895037f, 0.932992799f, + -0.382683432f, 0.923879533f, + -0.405241314f, 0.914209756f, + -0.427555093f, 0.903989293f, + -0.449611330f, 0.893224301f, + -0.471396737f, 0.881921264f, + -0.492898192f, 0.870086991f, + -0.514102744f, 0.857728610f, + -0.534997620f, 0.844853565f, + -0.555570233f, 0.831469612f, + -0.575808191f, 0.817584813f, + -0.595699304f, 0.803207531f, + -0.615231591f, 0.788346428f, + -0.634393284f, 0.773010453f, + -0.653172843f, 0.757208847f, + -0.671558955f, 0.740951125f, + -0.689540545f, 0.724247083f, + -0.707106781f, 0.707106781f, + -0.724247083f, 0.689540545f, + -0.740951125f, 0.671558955f, + -0.757208847f, 0.653172843f, + -0.773010453f, 0.634393284f, + -0.788346428f, 0.615231591f, + -0.803207531f, 0.595699304f, + -0.817584813f, 0.575808191f, + -0.831469612f, 0.555570233f, + -0.844853565f, 0.534997620f, + -0.857728610f, 0.514102744f, + -0.870086991f, 0.492898192f, + -0.881921264f, 0.471396737f, + -0.893224301f, 0.449611330f, + -0.903989293f, 0.427555093f, + -0.914209756f, 0.405241314f, + -0.923879533f, 0.382683432f, + -0.932992799f, 0.359895037f, + -0.941544065f, 0.336889853f, + -0.949528181f, 0.313681740f, + -0.956940336f, 0.290284677f, + -0.963776066f, 0.266712757f, + -0.970031253f, 0.242980180f, + -0.975702130f, 0.219101240f, + -0.980785280f, 0.195090322f, + -0.985277642f, 0.170961889f, + -0.989176510f, 0.146730474f, + -0.992479535f, 0.122410675f, + -0.995184727f, 0.098017140f, + -0.997290457f, 0.073564564f, + -0.998795456f, 0.049067674f, + -0.999698819f, 0.024541229f, + -1.000000000f, 0.000000000f, + -0.999698819f, -0.024541229f, + -0.998795456f, -0.049067674f, + -0.997290457f, -0.073564564f, + -0.995184727f, -0.098017140f, + -0.992479535f, -0.122410675f, + -0.989176510f, -0.146730474f, + -0.985277642f, -0.170961889f, + -0.980785280f, -0.195090322f, + -0.975702130f, -0.219101240f, + -0.970031253f, -0.242980180f, + -0.963776066f, -0.266712757f, + -0.956940336f, -0.290284677f, + -0.949528181f, -0.313681740f, + -0.941544065f, -0.336889853f, + -0.932992799f, -0.359895037f, + -0.923879533f, -0.382683432f, + -0.914209756f, -0.405241314f, + -0.903989293f, -0.427555093f, + -0.893224301f, -0.449611330f, + -0.881921264f, -0.471396737f, + -0.870086991f, -0.492898192f, + -0.857728610f, -0.514102744f, + -0.844853565f, -0.534997620f, + -0.831469612f, -0.555570233f, + -0.817584813f, -0.575808191f, + -0.803207531f, -0.595699304f, + -0.788346428f, -0.615231591f, + -0.773010453f, -0.634393284f, + -0.757208847f, -0.653172843f, + -0.740951125f, -0.671558955f, + -0.724247083f, -0.689540545f, + -0.707106781f, -0.707106781f, + -0.689540545f, -0.724247083f, + -0.671558955f, -0.740951125f, + -0.653172843f, -0.757208847f, + -0.634393284f, -0.773010453f, + -0.615231591f, -0.788346428f, + -0.595699304f, -0.803207531f, + -0.575808191f, -0.817584813f, + -0.555570233f, -0.831469612f, + -0.534997620f, -0.844853565f, + -0.514102744f, -0.857728610f, + -0.492898192f, -0.870086991f, + -0.471396737f, -0.881921264f, + -0.449611330f, -0.893224301f, + -0.427555093f, -0.903989293f, + -0.405241314f, -0.914209756f, + -0.382683432f, -0.923879533f, + -0.359895037f, -0.932992799f, + -0.336889853f, -0.941544065f, + -0.313681740f, -0.949528181f, + -0.290284677f, -0.956940336f, + -0.266712757f, -0.963776066f, + -0.242980180f, -0.970031253f, + -0.219101240f, -0.975702130f, + -0.195090322f, -0.980785280f, + -0.170961889f, -0.985277642f, + -0.146730474f, -0.989176510f, + -0.122410675f, -0.992479535f, + -0.098017140f, -0.995184727f, + -0.073564564f, -0.997290457f, + -0.049067674f, -0.998795456f, + -0.024541229f, -0.999698819f, + -0.000000000f, -1.000000000f, + 0.024541229f, -0.999698819f, + 0.049067674f, -0.998795456f, + 0.073564564f, -0.997290457f, + 0.098017140f, -0.995184727f, + 0.122410675f, -0.992479535f, + 0.146730474f, -0.989176510f, + 0.170961889f, -0.985277642f, + 0.195090322f, -0.980785280f, + 0.219101240f, -0.975702130f, + 0.242980180f, -0.970031253f, + 0.266712757f, -0.963776066f, + 0.290284677f, -0.956940336f, + 0.313681740f, -0.949528181f, + 0.336889853f, -0.941544065f, + 0.359895037f, -0.932992799f, + 0.382683432f, -0.923879533f, + 0.405241314f, -0.914209756f, + 0.427555093f, -0.903989293f, + 0.449611330f, -0.893224301f, + 0.471396737f, -0.881921264f, + 0.492898192f, -0.870086991f, + 0.514102744f, -0.857728610f, + 0.534997620f, -0.844853565f, + 0.555570233f, -0.831469612f, + 0.575808191f, -0.817584813f, + 0.595699304f, -0.803207531f, + 0.615231591f, -0.788346428f, + 0.634393284f, -0.773010453f, + 0.653172843f, -0.757208847f, + 0.671558955f, -0.740951125f, + 0.689540545f, -0.724247083f, + 0.707106781f, -0.707106781f, + 0.724247083f, -0.689540545f, + 0.740951125f, -0.671558955f, + 0.757208847f, -0.653172843f, + 0.773010453f, -0.634393284f, + 0.788346428f, -0.615231591f, + 0.803207531f, -0.595699304f, + 0.817584813f, -0.575808191f, + 0.831469612f, -0.555570233f, + 0.844853565f, -0.534997620f, + 0.857728610f, -0.514102744f, + 0.870086991f, -0.492898192f, + 0.881921264f, -0.471396737f, + 0.893224301f, -0.449611330f, + 0.903989293f, -0.427555093f, + 0.914209756f, -0.405241314f, + 0.923879533f, -0.382683432f, + 0.932992799f, -0.359895037f, + 0.941544065f, -0.336889853f, + 0.949528181f, -0.313681740f, + 0.956940336f, -0.290284677f, + 0.963776066f, -0.266712757f, + 0.970031253f, -0.242980180f, + 0.975702130f, -0.219101240f, + 0.980785280f, -0.195090322f, + 0.985277642f, -0.170961889f, + 0.989176510f, -0.146730474f, + 0.992479535f, -0.122410675f, + 0.995184727f, -0.098017140f, + 0.997290457f, -0.073564564f, + 0.998795456f, -0.049067674f, + 0.999698819f, -0.024541229f +}; + +/** +* \par +* Example code for Floating-point Twiddle factors Generation: +* \par +*
for(i = 0; i< N/; i++)
+* {
+*	twiddleCoef[2*i]= cos(i * 2*PI/(float)N);
+*	twiddleCoef[2*i+1]= sin(i * 2*PI/(float)N);
+* } 
+* \par +* where N = 512 and PI = 3.14159265358979 +* \par +* Cos and Sin values are in interleaved fashion +* +*/ +const float32_t twiddleCoef_512[1024] = { + 1.000000000f, 0.000000000f, + 0.999924702f, 0.012271538f, + 0.999698819f, 0.024541229f, + 0.999322385f, 0.036807223f, + 0.998795456f, 0.049067674f, + 0.998118113f, 0.061320736f, + 0.997290457f, 0.073564564f, + 0.996312612f, 0.085797312f, + 0.995184727f, 0.098017140f, + 0.993906970f, 0.110222207f, + 0.992479535f, 0.122410675f, + 0.990902635f, 0.134580709f, + 0.989176510f, 0.146730474f, + 0.987301418f, 0.158858143f, + 0.985277642f, 0.170961889f, + 0.983105487f, 0.183039888f, + 0.980785280f, 0.195090322f, + 0.978317371f, 0.207111376f, + 0.975702130f, 0.219101240f, + 0.972939952f, 0.231058108f, + 0.970031253f, 0.242980180f, + 0.966976471f, 0.254865660f, + 0.963776066f, 0.266712757f, + 0.960430519f, 0.278519689f, + 0.956940336f, 0.290284677f, + 0.953306040f, 0.302005949f, + 0.949528181f, 0.313681740f, + 0.945607325f, 0.325310292f, + 0.941544065f, 0.336889853f, + 0.937339012f, 0.348418680f, + 0.932992799f, 0.359895037f, + 0.928506080f, 0.371317194f, + 0.923879533f, 0.382683432f, + 0.919113852f, 0.393992040f, + 0.914209756f, 0.405241314f, + 0.909167983f, 0.416429560f, + 0.903989293f, 0.427555093f, + 0.898674466f, 0.438616239f, + 0.893224301f, 0.449611330f, + 0.887639620f, 0.460538711f, + 0.881921264f, 0.471396737f, + 0.876070094f, 0.482183772f, + 0.870086991f, 0.492898192f, + 0.863972856f, 0.503538384f, + 0.857728610f, 0.514102744f, + 0.851355193f, 0.524589683f, + 0.844853565f, 0.534997620f, + 0.838224706f, 0.545324988f, + 0.831469612f, 0.555570233f, + 0.824589303f, 0.565731811f, + 0.817584813f, 0.575808191f, + 0.810457198f, 0.585797857f, + 0.803207531f, 0.595699304f, + 0.795836905f, 0.605511041f, + 0.788346428f, 0.615231591f, + 0.780737229f, 0.624859488f, + 0.773010453f, 0.634393284f, + 0.765167266f, 0.643831543f, + 0.757208847f, 0.653172843f, + 0.749136395f, 0.662415778f, + 0.740951125f, 0.671558955f, + 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0.998118113f, -0.061320736f, + 0.998795456f, -0.049067674f, + 0.999322385f, -0.036807223f, + 0.999698819f, -0.024541229f, + 0.999924702f, -0.012271538f +}; +/** +* \par +* Example code for Floating-point Twiddle factors Generation: +* \par +*
for(i = 0; i< N/; i++)
+* {
+*	twiddleCoef[2*i]= cos(i * 2*PI/(float)N);
+*	twiddleCoef[2*i+1]= sin(i * 2*PI/(float)N);
+* } 
+* \par +* where N = 1024 and PI = 3.14159265358979 +* \par +* Cos and Sin values are in interleaved fashion +* +*/ +const float32_t twiddleCoef_1024[2048] = { + 1.000000000f, 0.000000000f, + 0.999981175f, 0.006135885f, + 0.999924702f, 0.012271538f, + 0.999830582f, 0.018406730f, + 0.999698819f, 0.024541229f, + 0.999529418f, 0.030674803f, + 0.999322385f, 0.036807223f, + 0.999077728f, 0.042938257f, + 0.998795456f, 0.049067674f, + 0.998475581f, 0.055195244f, + 0.998118113f, 0.061320736f, + 0.997723067f, 0.067443920f, + 0.997290457f, 0.073564564f, + 0.996820299f, 0.079682438f, + 0.996312612f, 0.085797312f, + 0.995767414f, 0.091908956f, + 0.995184727f, 0.098017140f, + 0.994564571f, 0.104121634f, + 0.993906970f, 0.110222207f, + 0.993211949f, 0.116318631f, + 0.992479535f, 0.122410675f, + 0.991709754f, 0.128498111f, + 0.990902635f, 0.134580709f, + 0.990058210f, 0.140658239f, + 0.989176510f, 0.146730474f, + 0.988257568f, 0.152797185f, + 0.987301418f, 0.158858143f, + 0.986308097f, 0.164913120f, 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0.999529418f, -0.030674803f, + 0.999698819f, -0.024541229f, + 0.999830582f, -0.018406730f, + 0.999924702f, -0.012271538f, + 0.999981175f, -0.006135885f +}; + +/** +* \par +* Example code for Floating-point Twiddle factors Generation: +* \par +*
for(i = 0; i< N/; i++)
+* {
+*	twiddleCoef[2*i]= cos(i * 2*PI/(float)N);
+*	twiddleCoef[2*i+1]= sin(i * 2*PI/(float)N);
+* } 
+* \par +* where N = 2048 and PI = 3.14159265358979 +* \par +* Cos and Sin values are in interleaved fashion +* +*/ +const float32_t twiddleCoef_2048[4096] = { + 1.000000000f, 0.000000000f, + 0.999995294f, 0.003067957f, + 0.999981175f, 0.006135885f, + 0.999957645f, 0.009203755f, + 0.999924702f, 0.012271538f, + 0.999882347f, 0.015339206f, + 0.999830582f, 0.018406730f, + 0.999769405f, 0.021474080f, + 0.999698819f, 0.024541229f, + 0.999618822f, 0.027608146f, + 0.999529418f, 0.030674803f, + 0.999430605f, 0.033741172f, + 0.999322385f, 0.036807223f, + 0.999204759f, 0.039872928f, + 0.999077728f, 0.042938257f, + 0.998941293f, 0.046003182f, + 0.998795456f, 0.049067674f, + 0.998640218f, 0.052131705f, + 0.998475581f, 0.055195244f, + 0.998301545f, 0.058258265f, + 0.998118113f, 0.061320736f, + 0.997925286f, 0.064382631f, + 0.997723067f, 0.067443920f, + 0.997511456f, 0.070504573f, + 0.997290457f, 0.073564564f, + 0.997060070f, 0.076623861f, + 0.996820299f, 0.079682438f, + 0.996571146f, 0.082740265f, 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0.999882347f, -0.015339206f, + 0.999924702f, -0.012271538f, + 0.999957645f, -0.009203755f, + 0.999981175f, -0.006135885f, + 0.999995294f, -0.003067957f +}; + +/** +* \par +* Example code for Floating-point Twiddle factors Generation: +* \par +*
for(i = 0; i< N/; i++)
+* {
+*	twiddleCoef[2*i]= cos(i * 2*PI/(float)N);
+*	twiddleCoef[2*i+1]= sin(i * 2*PI/(float)N);
+* } 
+* \par +* where N = 4096 and PI = 3.14159265358979 +* \par +* Cos and Sin values are in interleaved fashion +* +*/ +const float32_t twiddleCoef_4096[8192] = { + 1.000000000f, 0.000000000f, + 0.999998823f, 0.001533980f, + 0.999995294f, 0.003067957f, + 0.999989411f, 0.004601926f, + 0.999981175f, 0.006135885f, + 0.999970586f, 0.007669829f, + 0.999957645f, 0.009203755f, + 0.999942350f, 0.010737659f, + 0.999924702f, 0.012271538f, + 0.999904701f, 0.013805389f, + 0.999882347f, 0.015339206f, + 0.999857641f, 0.016872988f, + 0.999830582f, 0.018406730f, + 0.999801170f, 0.019940429f, + 0.999769405f, 0.021474080f, + 0.999735288f, 0.023007681f, + 0.999698819f, 0.024541229f, + 0.999659997f, 0.026074718f, + 0.999618822f, 0.027608146f, + 0.999575296f, 0.029141509f, + 0.999529418f, 0.030674803f, + 0.999481187f, 0.032208025f, + 0.999430605f, 0.033741172f, + 0.999377670f, 0.035274239f, + 0.999322385f, 0.036807223f, + 0.999264747f, 0.038340120f, + 0.999204759f, 0.039872928f, + 0.999142419f, 0.041405641f, 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0.999957645f, -0.009203755f, + 0.999970586f, -0.007669829f, + 0.999981175f, -0.006135885f, + 0.999989411f, -0.004601926f, + 0.999995294f, -0.003067957f, + 0.999998823f, -0.001533980f +}; + +/* +* @brief Q31 Twiddle factors Table +*/ + + +/** +* \par +* Example code for Q31 Twiddle factors Generation:: +* \par +*
for(i = 0; i< 3N/4; i++)
+* {
+*    twiddleCoefQ31[2*i]= cos(i * 2*PI/(float)N);
+*    twiddleCoefQ31[2*i+1]= sin(i * 2*PI/(float)N);
+* } 
+* \par +* where N = 16 and PI = 3.14159265358979 +* \par +* Cos and Sin values are interleaved fashion +* \par +* Convert Floating point to Q31(Fixed point 1.31): +* round(twiddleCoefQ31(i) * pow(2, 31)) +* +*/ +const q31_t twiddleCoef_16_q31[24] = { + (q31_t)0x7FFFFFFF, (q31_t)0x00000000, + (q31_t)0x7641AF3C, (q31_t)0x30FBC54D, + (q31_t)0x5A82799A, (q31_t)0x5A82799A, + (q31_t)0x30FBC54D, (q31_t)0x7641AF3C, + (q31_t)0x00000000, (q31_t)0x7FFFFFFF, + (q31_t)0xCF043AB2, (q31_t)0x7641AF3C, + (q31_t)0xA57D8666, (q31_t)0x5A82799A, + (q31_t)0x89BE50C3, (q31_t)0x30FBC54D, + (q31_t)0x80000000, (q31_t)0x00000000, + (q31_t)0x89BE50C3, (q31_t)0xCF043AB2, + (q31_t)0xA57D8666, (q31_t)0xA57D8666, + (q31_t)0xCF043AB2, (q31_t)0x89BE50C3 +}; + +/** +* \par +* Example code for Q31 Twiddle factors Generation:: +* \par +*
for(i = 0; i< 3N/4; i++)
+* {
+*    twiddleCoefQ31[2*i]= cos(i * 2*PI/(float)N);
+*    twiddleCoefQ31[2*i+1]= sin(i * 2*PI/(float)N);
+* } 
+* \par +* where N = 32 and PI = 3.14159265358979 +* \par +* Cos and Sin values are interleaved fashion +* \par +* Convert Floating point to Q31(Fixed point 1.31): +* round(twiddleCoefQ31(i) * pow(2, 31)) +* +*/ +const q31_t twiddleCoef_32_q31[48] = { + (q31_t)0x7FFFFFFF, (q31_t)0x00000000, + (q31_t)0x7D8A5F3F, (q31_t)0x18F8B83C, + (q31_t)0x7641AF3C, (q31_t)0x30FBC54D, + (q31_t)0x6A6D98A4, (q31_t)0x471CECE6, + (q31_t)0x5A82799A, (q31_t)0x5A82799A, + (q31_t)0x471CECE6, (q31_t)0x6A6D98A4, + (q31_t)0x30FBC54D, (q31_t)0x7641AF3C, + (q31_t)0x18F8B83C, (q31_t)0x7D8A5F3F, + (q31_t)0x00000000, (q31_t)0x7FFFFFFF, + (q31_t)0xE70747C3, (q31_t)0x7D8A5F3F, + (q31_t)0xCF043AB2, (q31_t)0x7641AF3C, + (q31_t)0xB8E31319, (q31_t)0x6A6D98A4, + (q31_t)0xA57D8666, (q31_t)0x5A82799A, + (q31_t)0x9592675B, (q31_t)0x471CECE6, + (q31_t)0x89BE50C3, (q31_t)0x30FBC54D, + (q31_t)0x8275A0C0, (q31_t)0x18F8B83C, + (q31_t)0x80000000, (q31_t)0x00000000, + (q31_t)0x8275A0C0, (q31_t)0xE70747C3, + (q31_t)0x89BE50C3, (q31_t)0xCF043AB2, + (q31_t)0x9592675B, (q31_t)0xB8E31319, + (q31_t)0xA57D8666, (q31_t)0xA57D8666, + (q31_t)0xB8E31319, (q31_t)0x9592675B, + (q31_t)0xCF043AB2, (q31_t)0x89BE50C3, + (q31_t)0xE70747C3, (q31_t)0x8275A0C0 +}; + +/** +* \par +* Example code for Q31 Twiddle factors Generation:: +* \par +*
for(i = 0; i< 3N/4; i++)
+* {
+*    twiddleCoefQ31[2*i]= cos(i * 2*PI/(float)N);
+*    twiddleCoefQ31[2*i+1]= sin(i * 2*PI/(float)N);
+* } 
+* \par +* where N = 64 and PI = 3.14159265358979 +* \par +* Cos and Sin values are interleaved fashion +* \par +* Convert Floating point to Q31(Fixed point 1.31): +* round(twiddleCoefQ31(i) * pow(2, 31)) +* +*/ +const q31_t twiddleCoef_64_q31[96] = { + (q31_t)0x7FFFFFFF, (q31_t)0x00000000, (q31_t)0x7F62368F, + (q31_t)0x0C8BD35E, (q31_t)0x7D8A5F3F, (q31_t)0x18F8B83C, + (q31_t)0x7A7D055B, (q31_t)0x25280C5D, (q31_t)0x7641AF3C, + (q31_t)0x30FBC54D, (q31_t)0x70E2CBC6, (q31_t)0x3C56BA70, + (q31_t)0x6A6D98A4, (q31_t)0x471CECE6, (q31_t)0x62F201AC, + (q31_t)0x5133CC94, (q31_t)0x5A82799A, (q31_t)0x5A82799A, + (q31_t)0x5133CC94, (q31_t)0x62F201AC, (q31_t)0x471CECE6, + (q31_t)0x6A6D98A4, (q31_t)0x3C56BA70, (q31_t)0x70E2CBC6, + (q31_t)0x30FBC54D, (q31_t)0x7641AF3C, (q31_t)0x25280C5D, + (q31_t)0x7A7D055B, (q31_t)0x18F8B83C, (q31_t)0x7D8A5F3F, + (q31_t)0x0C8BD35E, (q31_t)0x7F62368F, (q31_t)0x00000000, + (q31_t)0x7FFFFFFF, (q31_t)0xF3742CA1, (q31_t)0x7F62368F, + (q31_t)0xE70747C3, (q31_t)0x7D8A5F3F, (q31_t)0xDAD7F3A2, + (q31_t)0x7A7D055B, (q31_t)0xCF043AB2, (q31_t)0x7641AF3C, + (q31_t)0xC3A9458F, (q31_t)0x70E2CBC6, (q31_t)0xB8E31319, + (q31_t)0x6A6D98A4, (q31_t)0xAECC336B, (q31_t)0x62F201AC, + (q31_t)0xA57D8666, (q31_t)0x5A82799A, (q31_t)0x9D0DFE53, + (q31_t)0x5133CC94, (q31_t)0x9592675B, (q31_t)0x471CECE6, + (q31_t)0x8F1D343A, (q31_t)0x3C56BA70, (q31_t)0x89BE50C3, + (q31_t)0x30FBC54D, (q31_t)0x8582FAA4, (q31_t)0x25280C5D, + (q31_t)0x8275A0C0, (q31_t)0x18F8B83C, (q31_t)0x809DC970, + (q31_t)0x0C8BD35E, (q31_t)0x80000000, (q31_t)0x00000000, + (q31_t)0x809DC970, (q31_t)0xF3742CA1, (q31_t)0x8275A0C0, + (q31_t)0xE70747C3, (q31_t)0x8582FAA4, (q31_t)0xDAD7F3A2, + (q31_t)0x89BE50C3, (q31_t)0xCF043AB2, (q31_t)0x8F1D343A, + (q31_t)0xC3A9458F, (q31_t)0x9592675B, (q31_t)0xB8E31319, + (q31_t)0x9D0DFE53, (q31_t)0xAECC336B, (q31_t)0xA57D8666, + (q31_t)0xA57D8666, (q31_t)0xAECC336B, (q31_t)0x9D0DFE53, + (q31_t)0xB8E31319, (q31_t)0x9592675B, (q31_t)0xC3A9458F, + (q31_t)0x8F1D343A, (q31_t)0xCF043AB2, (q31_t)0x89BE50C3, + (q31_t)0xDAD7F3A2, (q31_t)0x8582FAA4, (q31_t)0xE70747C3, + (q31_t)0x8275A0C0, (q31_t)0xF3742CA1, (q31_t)0x809DC970 +}; + +/** +* \par +* Example code for Q31 Twiddle factors Generation:: +* \par +*
for(i = 0; i< 3N/4; i++)
+* {
+*    twiddleCoefQ31[2*i]= cos(i * 2*PI/(float)N);
+*    twiddleCoefQ31[2*i+1]= sin(i * 2*PI/(float)N);
+* } 
+* \par +* where N = 128 and PI = 3.14159265358979 +* \par +* Cos and Sin values are interleaved fashion +* \par +* Convert Floating point to Q31(Fixed point 1.31): +* round(twiddleCoefQ31(i) * pow(2, 31)) +* +*/ +const q31_t twiddleCoef_128_q31[192] = { + (q31_t)0x7FFFFFFF, (q31_t)0x00000000, (q31_t)0x7FD8878D, + (q31_t)0x0647D97C, (q31_t)0x7F62368F, (q31_t)0x0C8BD35E, + (q31_t)0x7E9D55FC, (q31_t)0x12C8106E, (q31_t)0x7D8A5F3F, + (q31_t)0x18F8B83C, (q31_t)0x7C29FBEE, (q31_t)0x1F19F97B, + (q31_t)0x7A7D055B, (q31_t)0x25280C5D, (q31_t)0x78848413, + (q31_t)0x2B1F34EB, (q31_t)0x7641AF3C, (q31_t)0x30FBC54D, + (q31_t)0x73B5EBD0, (q31_t)0x36BA2013, (q31_t)0x70E2CBC6, + (q31_t)0x3C56BA70, (q31_t)0x6DCA0D14, (q31_t)0x41CE1E64, + (q31_t)0x6A6D98A4, (q31_t)0x471CECE6, (q31_t)0x66CF811F, + (q31_t)0x4C3FDFF3, (q31_t)0x62F201AC, (q31_t)0x5133CC94, + (q31_t)0x5ED77C89, (q31_t)0x55F5A4D2, (q31_t)0x5A82799A, + (q31_t)0x5A82799A, (q31_t)0x55F5A4D2, (q31_t)0x5ED77C89, + (q31_t)0x5133CC94, (q31_t)0x62F201AC, (q31_t)0x4C3FDFF3, + (q31_t)0x66CF811F, (q31_t)0x471CECE6, (q31_t)0x6A6D98A4, + (q31_t)0x41CE1E64, (q31_t)0x6DCA0D14, (q31_t)0x3C56BA70, + (q31_t)0x70E2CBC6, (q31_t)0x36BA2013, (q31_t)0x73B5EBD0, + (q31_t)0x30FBC54D, (q31_t)0x7641AF3C, (q31_t)0x2B1F34EB, + (q31_t)0x78848413, (q31_t)0x25280C5D, (q31_t)0x7A7D055B, + (q31_t)0x1F19F97B, (q31_t)0x7C29FBEE, (q31_t)0x18F8B83C, + (q31_t)0x7D8A5F3F, (q31_t)0x12C8106E, (q31_t)0x7E9D55FC, + (q31_t)0x0C8BD35E, (q31_t)0x7F62368F, (q31_t)0x0647D97C, + (q31_t)0x7FD8878D, (q31_t)0x00000000, (q31_t)0x7FFFFFFF, + (q31_t)0xF9B82683, (q31_t)0x7FD8878D, (q31_t)0xF3742CA1, + (q31_t)0x7F62368F, (q31_t)0xED37EF91, (q31_t)0x7E9D55FC, + (q31_t)0xE70747C3, (q31_t)0x7D8A5F3F, (q31_t)0xE0E60684, + (q31_t)0x7C29FBEE, (q31_t)0xDAD7F3A2, (q31_t)0x7A7D055B, + (q31_t)0xD4E0CB14, (q31_t)0x78848413, (q31_t)0xCF043AB2, + (q31_t)0x7641AF3C, (q31_t)0xC945DFEC, (q31_t)0x73B5EBD0, + (q31_t)0xC3A9458F, (q31_t)0x70E2CBC6, (q31_t)0xBE31E19B, + (q31_t)0x6DCA0D14, (q31_t)0xB8E31319, (q31_t)0x6A6D98A4, + (q31_t)0xB3C0200C, (q31_t)0x66CF811F, (q31_t)0xAECC336B, + (q31_t)0x62F201AC, (q31_t)0xAA0A5B2D, (q31_t)0x5ED77C89, + (q31_t)0xA57D8666, (q31_t)0x5A82799A, (q31_t)0xA1288376, + (q31_t)0x55F5A4D2, (q31_t)0x9D0DFE53, (q31_t)0x5133CC94, + (q31_t)0x99307EE0, (q31_t)0x4C3FDFF3, (q31_t)0x9592675B, + (q31_t)0x471CECE6, (q31_t)0x9235F2EB, (q31_t)0x41CE1E64, + (q31_t)0x8F1D343A, (q31_t)0x3C56BA70, (q31_t)0x8C4A142F, + (q31_t)0x36BA2013, (q31_t)0x89BE50C3, (q31_t)0x30FBC54D, + (q31_t)0x877B7BEC, (q31_t)0x2B1F34EB, (q31_t)0x8582FAA4, + (q31_t)0x25280C5D, (q31_t)0x83D60411, (q31_t)0x1F19F97B, + (q31_t)0x8275A0C0, (q31_t)0x18F8B83C, (q31_t)0x8162AA03, + (q31_t)0x12C8106E, (q31_t)0x809DC970, (q31_t)0x0C8BD35E, + (q31_t)0x80277872, (q31_t)0x0647D97C, (q31_t)0x80000000, + (q31_t)0x00000000, (q31_t)0x80277872, (q31_t)0xF9B82683, + (q31_t)0x809DC970, (q31_t)0xF3742CA1, (q31_t)0x8162AA03, + (q31_t)0xED37EF91, (q31_t)0x8275A0C0, (q31_t)0xE70747C3, + (q31_t)0x83D60411, (q31_t)0xE0E60684, (q31_t)0x8582FAA4, + (q31_t)0xDAD7F3A2, (q31_t)0x877B7BEC, (q31_t)0xD4E0CB14, + (q31_t)0x89BE50C3, (q31_t)0xCF043AB2, (q31_t)0x8C4A142F, + (q31_t)0xC945DFEC, (q31_t)0x8F1D343A, (q31_t)0xC3A9458F, + (q31_t)0x9235F2EB, (q31_t)0xBE31E19B, (q31_t)0x9592675B, + (q31_t)0xB8E31319, (q31_t)0x99307EE0, (q31_t)0xB3C0200C, + (q31_t)0x9D0DFE53, (q31_t)0xAECC336B, (q31_t)0xA1288376, + (q31_t)0xAA0A5B2D, (q31_t)0xA57D8666, (q31_t)0xA57D8666, + (q31_t)0xAA0A5B2D, (q31_t)0xA1288376, (q31_t)0xAECC336B, + (q31_t)0x9D0DFE53, (q31_t)0xB3C0200C, (q31_t)0x99307EE0, + (q31_t)0xB8E31319, (q31_t)0x9592675B, (q31_t)0xBE31E19B, + (q31_t)0x9235F2EB, (q31_t)0xC3A9458F, (q31_t)0x8F1D343A, + (q31_t)0xC945DFEC, (q31_t)0x8C4A142F, (q31_t)0xCF043AB2, + (q31_t)0x89BE50C3, (q31_t)0xD4E0CB14, (q31_t)0x877B7BEC, + (q31_t)0xDAD7F3A2, (q31_t)0x8582FAA4, (q31_t)0xE0E60684, + (q31_t)0x83D60411, (q31_t)0xE70747C3, (q31_t)0x8275A0C0, + (q31_t)0xED37EF91, (q31_t)0x8162AA03, (q31_t)0xF3742CA1, + (q31_t)0x809DC970, (q31_t)0xF9B82683, (q31_t)0x80277872 +}; + +/** +* \par +* Example code for Q31 Twiddle factors Generation:: +* \par +*
for(i = 0; i< 3N/4; i++)
+* {
+*    twiddleCoefQ31[2*i]= cos(i * 2*PI/(float)N);
+*    twiddleCoefQ31[2*i+1]= sin(i * 2*PI/(float)N);
+* } 
+* \par +* where N = 256 and PI = 3.14159265358979 +* \par +* Cos and Sin values are interleaved fashion +* \par +* Convert Floating point to Q31(Fixed point 1.31): +* round(twiddleCoefQ31(i) * pow(2, 31)) +* +*/ +const q31_t twiddleCoef_256_q31[384] = { + (q31_t)0x7FFFFFFF, (q31_t)0x00000000, (q31_t)0x7FF62182, + (q31_t)0x03242ABF, (q31_t)0x7FD8878D, (q31_t)0x0647D97C, + (q31_t)0x7FA736B4, (q31_t)0x096A9049, (q31_t)0x7F62368F, + (q31_t)0x0C8BD35E, (q31_t)0x7F0991C3, (q31_t)0x0FAB272B, + (q31_t)0x7E9D55FC, (q31_t)0x12C8106E, (q31_t)0x7E1D93E9, + (q31_t)0x15E21444, (q31_t)0x7D8A5F3F, (q31_t)0x18F8B83C, + (q31_t)0x7CE3CEB1, (q31_t)0x1C0B826A, (q31_t)0x7C29FBEE, + (q31_t)0x1F19F97B, (q31_t)0x7B5D039D, (q31_t)0x2223A4C5, + (q31_t)0x7A7D055B, (q31_t)0x25280C5D, (q31_t)0x798A23B1, + (q31_t)0x2826B928, (q31_t)0x78848413, (q31_t)0x2B1F34EB, + (q31_t)0x776C4EDB, (q31_t)0x2E110A62, (q31_t)0x7641AF3C, + (q31_t)0x30FBC54D, (q31_t)0x7504D345, (q31_t)0x33DEF287, + (q31_t)0x73B5EBD0, (q31_t)0x36BA2013, (q31_t)0x72552C84, + (q31_t)0x398CDD32, (q31_t)0x70E2CBC6, (q31_t)0x3C56BA70, + (q31_t)0x6F5F02B1, (q31_t)0x3F1749B7, (q31_t)0x6DCA0D14, + (q31_t)0x41CE1E64, (q31_t)0x6C242960, (q31_t)0x447ACD50, + (q31_t)0x6A6D98A4, (q31_t)0x471CECE6, (q31_t)0x68A69E81, + (q31_t)0x49B41533, (q31_t)0x66CF811F, (q31_t)0x4C3FDFF3, + (q31_t)0x64E88926, (q31_t)0x4EBFE8A4, (q31_t)0x62F201AC, + (q31_t)0x5133CC94, (q31_t)0x60EC3830, (q31_t)0x539B2AEF, + (q31_t)0x5ED77C89, (q31_t)0x55F5A4D2, (q31_t)0x5CB420DF, + (q31_t)0x5842DD54, (q31_t)0x5A82799A, (q31_t)0x5A82799A, + (q31_t)0x5842DD54, (q31_t)0x5CB420DF, (q31_t)0x55F5A4D2, + (q31_t)0x5ED77C89, (q31_t)0x539B2AEF, (q31_t)0x60EC3830, + (q31_t)0x5133CC94, (q31_t)0x62F201AC, (q31_t)0x4EBFE8A4, + (q31_t)0x64E88926, (q31_t)0x4C3FDFF3, (q31_t)0x66CF811F, + (q31_t)0x49B41533, (q31_t)0x68A69E81, (q31_t)0x471CECE6, + (q31_t)0x6A6D98A4, (q31_t)0x447ACD50, (q31_t)0x6C242960, + (q31_t)0x41CE1E64, (q31_t)0x6DCA0D14, (q31_t)0x3F1749B7, + (q31_t)0x6F5F02B1, (q31_t)0x3C56BA70, (q31_t)0x70E2CBC6, + (q31_t)0x398CDD32, (q31_t)0x72552C84, (q31_t)0x36BA2013, + (q31_t)0x73B5EBD0, (q31_t)0x33DEF287, (q31_t)0x7504D345, + (q31_t)0x30FBC54D, (q31_t)0x7641AF3C, (q31_t)0x2E110A62, + (q31_t)0x776C4EDB, (q31_t)0x2B1F34EB, (q31_t)0x78848413, + (q31_t)0x2826B928, (q31_t)0x798A23B1, (q31_t)0x25280C5D, + (q31_t)0x7A7D055B, (q31_t)0x2223A4C5, (q31_t)0x7B5D039D, + (q31_t)0x1F19F97B, (q31_t)0x7C29FBEE, (q31_t)0x1C0B826A, + (q31_t)0x7CE3CEB1, (q31_t)0x18F8B83C, (q31_t)0x7D8A5F3F, + (q31_t)0x15E21444, (q31_t)0x7E1D93E9, (q31_t)0x12C8106E, + (q31_t)0x7E9D55FC, (q31_t)0x0FAB272B, (q31_t)0x7F0991C3, + (q31_t)0x0C8BD35E, (q31_t)0x7F62368F, (q31_t)0x096A9049, + (q31_t)0x7FA736B4, (q31_t)0x0647D97C, (q31_t)0x7FD8878D, + (q31_t)0x03242ABF, (q31_t)0x7FF62182, (q31_t)0x00000000, + (q31_t)0x7FFFFFFF, (q31_t)0xFCDBD541, (q31_t)0x7FF62182, + (q31_t)0xF9B82683, (q31_t)0x7FD8878D, (q31_t)0xF6956FB6, + (q31_t)0x7FA736B4, (q31_t)0xF3742CA1, (q31_t)0x7F62368F, + (q31_t)0xF054D8D4, (q31_t)0x7F0991C3, (q31_t)0xED37EF91, + (q31_t)0x7E9D55FC, (q31_t)0xEA1DEBBB, (q31_t)0x7E1D93E9, + (q31_t)0xE70747C3, (q31_t)0x7D8A5F3F, (q31_t)0xE3F47D95, + (q31_t)0x7CE3CEB1, (q31_t)0xE0E60684, (q31_t)0x7C29FBEE, + (q31_t)0xDDDC5B3A, (q31_t)0x7B5D039D, (q31_t)0xDAD7F3A2, + (q31_t)0x7A7D055B, (q31_t)0xD7D946D7, (q31_t)0x798A23B1, + (q31_t)0xD4E0CB14, (q31_t)0x78848413, (q31_t)0xD1EEF59E, + (q31_t)0x776C4EDB, (q31_t)0xCF043AB2, (q31_t)0x7641AF3C, + (q31_t)0xCC210D78, (q31_t)0x7504D345, (q31_t)0xC945DFEC, + (q31_t)0x73B5EBD0, (q31_t)0xC67322CD, (q31_t)0x72552C84, + (q31_t)0xC3A9458F, (q31_t)0x70E2CBC6, (q31_t)0xC0E8B648, + (q31_t)0x6F5F02B1, (q31_t)0xBE31E19B, (q31_t)0x6DCA0D14, + (q31_t)0xBB8532AF, (q31_t)0x6C242960, (q31_t)0xB8E31319, + (q31_t)0x6A6D98A4, (q31_t)0xB64BEACC, (q31_t)0x68A69E81, + (q31_t)0xB3C0200C, (q31_t)0x66CF811F, (q31_t)0xB140175B, + (q31_t)0x64E88926, (q31_t)0xAECC336B, (q31_t)0x62F201AC, + (q31_t)0xAC64D510, (q31_t)0x60EC3830, (q31_t)0xAA0A5B2D, + (q31_t)0x5ED77C89, (q31_t)0xA7BD22AB, (q31_t)0x5CB420DF, + (q31_t)0xA57D8666, (q31_t)0x5A82799A, (q31_t)0xA34BDF20, + (q31_t)0x5842DD54, (q31_t)0xA1288376, (q31_t)0x55F5A4D2, + (q31_t)0x9F13C7D0, (q31_t)0x539B2AEF, (q31_t)0x9D0DFE53, + (q31_t)0x5133CC94, (q31_t)0x9B1776D9, (q31_t)0x4EBFE8A4, + (q31_t)0x99307EE0, (q31_t)0x4C3FDFF3, (q31_t)0x9759617E, + (q31_t)0x49B41533, (q31_t)0x9592675B, (q31_t)0x471CECE6, + (q31_t)0x93DBD69F, (q31_t)0x447ACD50, (q31_t)0x9235F2EB, + (q31_t)0x41CE1E64, (q31_t)0x90A0FD4E, (q31_t)0x3F1749B7, + (q31_t)0x8F1D343A, (q31_t)0x3C56BA70, (q31_t)0x8DAAD37B, + (q31_t)0x398CDD32, (q31_t)0x8C4A142F, (q31_t)0x36BA2013, + (q31_t)0x8AFB2CBA, (q31_t)0x33DEF287, (q31_t)0x89BE50C3, + (q31_t)0x30FBC54D, (q31_t)0x8893B124, (q31_t)0x2E110A62, + (q31_t)0x877B7BEC, (q31_t)0x2B1F34EB, (q31_t)0x8675DC4E, + (q31_t)0x2826B928, (q31_t)0x8582FAA4, (q31_t)0x25280C5D, + (q31_t)0x84A2FC62, (q31_t)0x2223A4C5, (q31_t)0x83D60411, + (q31_t)0x1F19F97B, (q31_t)0x831C314E, (q31_t)0x1C0B826A, + (q31_t)0x8275A0C0, (q31_t)0x18F8B83C, (q31_t)0x81E26C16, + (q31_t)0x15E21444, (q31_t)0x8162AA03, (q31_t)0x12C8106E, + (q31_t)0x80F66E3C, (q31_t)0x0FAB272B, (q31_t)0x809DC970, + (q31_t)0x0C8BD35E, (q31_t)0x8058C94C, (q31_t)0x096A9049, + (q31_t)0x80277872, (q31_t)0x0647D97C, (q31_t)0x8009DE7D, + (q31_t)0x03242ABF, (q31_t)0x80000000, (q31_t)0x00000000, + (q31_t)0x8009DE7D, (q31_t)0xFCDBD541, (q31_t)0x80277872, + (q31_t)0xF9B82683, (q31_t)0x8058C94C, (q31_t)0xF6956FB6, + (q31_t)0x809DC970, (q31_t)0xF3742CA1, (q31_t)0x80F66E3C, + (q31_t)0xF054D8D4, (q31_t)0x8162AA03, (q31_t)0xED37EF91, + (q31_t)0x81E26C16, (q31_t)0xEA1DEBBB, (q31_t)0x8275A0C0, + (q31_t)0xE70747C3, (q31_t)0x831C314E, (q31_t)0xE3F47D95, + (q31_t)0x83D60411, (q31_t)0xE0E60684, (q31_t)0x84A2FC62, + (q31_t)0xDDDC5B3A, (q31_t)0x8582FAA4, (q31_t)0xDAD7F3A2, + (q31_t)0x8675DC4E, (q31_t)0xD7D946D7, (q31_t)0x877B7BEC, + (q31_t)0xD4E0CB14, (q31_t)0x8893B124, (q31_t)0xD1EEF59E, + (q31_t)0x89BE50C3, (q31_t)0xCF043AB2, (q31_t)0x8AFB2CBA, + (q31_t)0xCC210D78, (q31_t)0x8C4A142F, (q31_t)0xC945DFEC, + (q31_t)0x8DAAD37B, (q31_t)0xC67322CD, (q31_t)0x8F1D343A, + (q31_t)0xC3A9458F, (q31_t)0x90A0FD4E, (q31_t)0xC0E8B648, + (q31_t)0x9235F2EB, (q31_t)0xBE31E19B, (q31_t)0x93DBD69F, + (q31_t)0xBB8532AF, (q31_t)0x9592675B, (q31_t)0xB8E31319, + (q31_t)0x9759617E, (q31_t)0xB64BEACC, (q31_t)0x99307EE0, + (q31_t)0xB3C0200C, (q31_t)0x9B1776D9, (q31_t)0xB140175B, + (q31_t)0x9D0DFE53, (q31_t)0xAECC336B, (q31_t)0x9F13C7D0, + (q31_t)0xAC64D510, (q31_t)0xA1288376, (q31_t)0xAA0A5B2D, + (q31_t)0xA34BDF20, (q31_t)0xA7BD22AB, (q31_t)0xA57D8666, + (q31_t)0xA57D8666, (q31_t)0xA7BD22AB, (q31_t)0xA34BDF20, + (q31_t)0xAA0A5B2D, (q31_t)0xA1288376, (q31_t)0xAC64D510, + (q31_t)0x9F13C7D0, (q31_t)0xAECC336B, (q31_t)0x9D0DFE53, + (q31_t)0xB140175B, (q31_t)0x9B1776D9, (q31_t)0xB3C0200C, + (q31_t)0x99307EE0, (q31_t)0xB64BEACC, (q31_t)0x9759617E, + (q31_t)0xB8E31319, (q31_t)0x9592675B, (q31_t)0xBB8532AF, + (q31_t)0x93DBD69F, (q31_t)0xBE31E19B, (q31_t)0x9235F2EB, + (q31_t)0xC0E8B648, (q31_t)0x90A0FD4E, (q31_t)0xC3A9458F, + (q31_t)0x8F1D343A, (q31_t)0xC67322CD, (q31_t)0x8DAAD37B, + (q31_t)0xC945DFEC, (q31_t)0x8C4A142F, (q31_t)0xCC210D78, + (q31_t)0x8AFB2CBA, (q31_t)0xCF043AB2, (q31_t)0x89BE50C3, + (q31_t)0xD1EEF59E, (q31_t)0x8893B124, (q31_t)0xD4E0CB14, + (q31_t)0x877B7BEC, (q31_t)0xD7D946D7, (q31_t)0x8675DC4E, + (q31_t)0xDAD7F3A2, (q31_t)0x8582FAA4, (q31_t)0xDDDC5B3A, + (q31_t)0x84A2FC62, (q31_t)0xE0E60684, (q31_t)0x83D60411, + (q31_t)0xE3F47D95, (q31_t)0x831C314E, (q31_t)0xE70747C3, + (q31_t)0x8275A0C0, (q31_t)0xEA1DEBBB, (q31_t)0x81E26C16, + (q31_t)0xED37EF91, (q31_t)0x8162AA03, (q31_t)0xF054D8D4, + (q31_t)0x80F66E3C, (q31_t)0xF3742CA1, (q31_t)0x809DC970, + (q31_t)0xF6956FB6, (q31_t)0x8058C94C, (q31_t)0xF9B82683, + (q31_t)0x80277872, (q31_t)0xFCDBD541, (q31_t)0x8009DE7D +}; + +/** +* \par +* Example code for Q31 Twiddle factors Generation:: +* \par +*
for(i = 0; i< 3N/4; i++)
+* {
+*    twiddleCoefQ31[2*i]= cos(i * 2*PI/(float)N);
+*    twiddleCoefQ31[2*i+1]= sin(i * 2*PI/(float)N);
+* } 
+* \par +* where N = 512 and PI = 3.14159265358979 +* \par +* Cos and Sin values are interleaved fashion +* \par +* Convert Floating point to Q31(Fixed point 1.31): +* round(twiddleCoefQ31(i) * pow(2, 31)) +* +*/ +const q31_t twiddleCoef_512_q31[768] = { + (q31_t)0x7FFFFFFF, (q31_t)0x00000000, (q31_t)0x7FFD885A, + (q31_t)0x01921D1F, (q31_t)0x7FF62182, (q31_t)0x03242ABF, + (q31_t)0x7FE9CBC0, (q31_t)0x04B6195D, (q31_t)0x7FD8878D, + (q31_t)0x0647D97C, (q31_t)0x7FC25596, (q31_t)0x07D95B9E, + (q31_t)0x7FA736B4, (q31_t)0x096A9049, (q31_t)0x7F872BF3, + (q31_t)0x0AFB6805, (q31_t)0x7F62368F, (q31_t)0x0C8BD35E, + (q31_t)0x7F3857F5, (q31_t)0x0E1BC2E3, (q31_t)0x7F0991C3, + (q31_t)0x0FAB272B, (q31_t)0x7ED5E5C6, (q31_t)0x1139F0CE, + (q31_t)0x7E9D55FC, (q31_t)0x12C8106E, (q31_t)0x7E5FE493, + (q31_t)0x145576B1, (q31_t)0x7E1D93E9, (q31_t)0x15E21444, + (q31_t)0x7DD6668E, (q31_t)0x176DD9DE, (q31_t)0x7D8A5F3F, + (q31_t)0x18F8B83C, (q31_t)0x7D3980EC, (q31_t)0x1A82A025, + (q31_t)0x7CE3CEB1, (q31_t)0x1C0B826A, (q31_t)0x7C894BDD, + (q31_t)0x1D934FE5, (q31_t)0x7C29FBEE, (q31_t)0x1F19F97B, + (q31_t)0x7BC5E28F, (q31_t)0x209F701C, (q31_t)0x7B5D039D, + (q31_t)0x2223A4C5, (q31_t)0x7AEF6323, (q31_t)0x23A6887E, + (q31_t)0x7A7D055B, (q31_t)0x25280C5D, (q31_t)0x7A05EEAD, + (q31_t)0x26A82185, (q31_t)0x798A23B1, (q31_t)0x2826B928, + (q31_t)0x7909A92C, (q31_t)0x29A3C484, (q31_t)0x78848413, + (q31_t)0x2B1F34EB, (q31_t)0x77FAB988, (q31_t)0x2C98FBBA, + (q31_t)0x776C4EDB, (q31_t)0x2E110A62, (q31_t)0x76D94988, + (q31_t)0x2F875262, (q31_t)0x7641AF3C, (q31_t)0x30FBC54D, + (q31_t)0x75A585CF, (q31_t)0x326E54C7, (q31_t)0x7504D345, + (q31_t)0x33DEF287, (q31_t)0x745F9DD1, (q31_t)0x354D9056, + (q31_t)0x73B5EBD0, (q31_t)0x36BA2013, (q31_t)0x7307C3D0, + (q31_t)0x382493B0, (q31_t)0x72552C84, (q31_t)0x398CDD32, + (q31_t)0x719E2CD2, (q31_t)0x3AF2EEB7, (q31_t)0x70E2CBC6, + (q31_t)0x3C56BA70, (q31_t)0x70231099, (q31_t)0x3DB832A5, + (q31_t)0x6F5F02B1, (q31_t)0x3F1749B7, (q31_t)0x6E96A99C, + (q31_t)0x4073F21D, (q31_t)0x6DCA0D14, (q31_t)0x41CE1E64, + (q31_t)0x6CF934FB, (q31_t)0x4325C135, (q31_t)0x6C242960, + (q31_t)0x447ACD50, (q31_t)0x6B4AF278, (q31_t)0x45CD358F, + (q31_t)0x6A6D98A4, (q31_t)0x471CECE6, (q31_t)0x698C246C, + (q31_t)0x4869E664, (q31_t)0x68A69E81, (q31_t)0x49B41533, + (q31_t)0x67BD0FBC, (q31_t)0x4AFB6C97, (q31_t)0x66CF811F, + (q31_t)0x4C3FDFF3, (q31_t)0x65DDFBD3, (q31_t)0x4D8162C4, + (q31_t)0x64E88926, (q31_t)0x4EBFE8A4, (q31_t)0x63EF328F, + (q31_t)0x4FFB654D, (q31_t)0x62F201AC, (q31_t)0x5133CC94, + (q31_t)0x61F1003E, (q31_t)0x5269126E, (q31_t)0x60EC3830, + (q31_t)0x539B2AEF, (q31_t)0x5FE3B38D, (q31_t)0x54CA0A4A, + (q31_t)0x5ED77C89, (q31_t)0x55F5A4D2, (q31_t)0x5DC79D7C, + (q31_t)0x571DEEF9, (q31_t)0x5CB420DF, (q31_t)0x5842DD54, + (q31_t)0x5B9D1153, (q31_t)0x59646497, (q31_t)0x5A82799A, + (q31_t)0x5A82799A, (q31_t)0x59646497, (q31_t)0x5B9D1153, + (q31_t)0x5842DD54, (q31_t)0x5CB420DF, (q31_t)0x571DEEF9, + (q31_t)0x5DC79D7C, (q31_t)0x55F5A4D2, (q31_t)0x5ED77C89, + (q31_t)0x54CA0A4A, (q31_t)0x5FE3B38D, (q31_t)0x539B2AEF, + (q31_t)0x60EC3830, (q31_t)0x5269126E, (q31_t)0x61F1003E, + (q31_t)0x5133CC94, (q31_t)0x62F201AC, (q31_t)0x4FFB654D, + (q31_t)0x63EF328F, (q31_t)0x4EBFE8A4, (q31_t)0x64E88926, + (q31_t)0x4D8162C4, (q31_t)0x65DDFBD3, (q31_t)0x4C3FDFF3, + (q31_t)0x66CF811F, (q31_t)0x4AFB6C97, (q31_t)0x67BD0FBC, + (q31_t)0x49B41533, (q31_t)0x68A69E81, (q31_t)0x4869E664, + (q31_t)0x698C246C, (q31_t)0x471CECE6, (q31_t)0x6A6D98A4, + (q31_t)0x45CD358F, (q31_t)0x6B4AF278, (q31_t)0x447ACD50, + (q31_t)0x6C242960, (q31_t)0x4325C135, (q31_t)0x6CF934FB, + (q31_t)0x41CE1E64, (q31_t)0x6DCA0D14, (q31_t)0x4073F21D, + (q31_t)0x6E96A99C, (q31_t)0x3F1749B7, (q31_t)0x6F5F02B1, + (q31_t)0x3DB832A5, (q31_t)0x70231099, (q31_t)0x3C56BA70, + (q31_t)0x70E2CBC6, (q31_t)0x3AF2EEB7, (q31_t)0x719E2CD2, + (q31_t)0x398CDD32, (q31_t)0x72552C84, (q31_t)0x382493B0, + (q31_t)0x7307C3D0, (q31_t)0x36BA2013, (q31_t)0x73B5EBD0, + (q31_t)0x354D9056, (q31_t)0x745F9DD1, 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+ (q31_t)0x81E26C16, (q31_t)0xEA1DEBBB, (q31_t)0x82299971, + (q31_t)0xE8922621, (q31_t)0x8275A0C0, (q31_t)0xE70747C3, + (q31_t)0x82C67F13, (q31_t)0xE57D5FDA, (q31_t)0x831C314E, + (q31_t)0xE3F47D95, (q31_t)0x8376B422, (q31_t)0xE26CB01A, + (q31_t)0x83D60411, (q31_t)0xE0E60684, (q31_t)0x843A1D70, + (q31_t)0xDF608FE3, (q31_t)0x84A2FC62, (q31_t)0xDDDC5B3A, + (q31_t)0x85109CDC, (q31_t)0xDC597781, (q31_t)0x8582FAA4, + (q31_t)0xDAD7F3A2, (q31_t)0x85FA1152, (q31_t)0xD957DE7A, + (q31_t)0x8675DC4E, (q31_t)0xD7D946D7, (q31_t)0x86F656D3, + (q31_t)0xD65C3B7B, (q31_t)0x877B7BEC, (q31_t)0xD4E0CB14, + (q31_t)0x88054677, (q31_t)0xD3670445, (q31_t)0x8893B124, + (q31_t)0xD1EEF59E, (q31_t)0x8926B677, (q31_t)0xD078AD9D, + (q31_t)0x89BE50C3, (q31_t)0xCF043AB2, (q31_t)0x8A5A7A30, + (q31_t)0xCD91AB38, (q31_t)0x8AFB2CBA, (q31_t)0xCC210D78, + (q31_t)0x8BA0622F, (q31_t)0xCAB26FA9, (q31_t)0x8C4A142F, + (q31_t)0xC945DFEC, (q31_t)0x8CF83C30, (q31_t)0xC7DB6C50, + (q31_t)0x8DAAD37B, (q31_t)0xC67322CD, (q31_t)0x8E61D32D, + (q31_t)0xC50D1148, (q31_t)0x8F1D343A, (q31_t)0xC3A9458F, + (q31_t)0x8FDCEF66, (q31_t)0xC247CD5A, (q31_t)0x90A0FD4E, + (q31_t)0xC0E8B648, (q31_t)0x91695663, (q31_t)0xBF8C0DE2, + (q31_t)0x9235F2EB, (q31_t)0xBE31E19B, (q31_t)0x9306CB04, + (q31_t)0xBCDA3ECA, (q31_t)0x93DBD69F, (q31_t)0xBB8532AF, + (q31_t)0x94B50D87, (q31_t)0xBA32CA70, (q31_t)0x9592675B, + (q31_t)0xB8E31319, (q31_t)0x9673DB94, (q31_t)0xB796199B, + (q31_t)0x9759617E, (q31_t)0xB64BEACC, (q31_t)0x9842F043, + (q31_t)0xB5049368, (q31_t)0x99307EE0, (q31_t)0xB3C0200C, + (q31_t)0x9A22042C, (q31_t)0xB27E9D3B, (q31_t)0x9B1776D9, + (q31_t)0xB140175B, (q31_t)0x9C10CD70, (q31_t)0xB0049AB2, + (q31_t)0x9D0DFE53, (q31_t)0xAECC336B, (q31_t)0x9E0EFFC1, + (q31_t)0xAD96ED91, (q31_t)0x9F13C7D0, (q31_t)0xAC64D510, + (q31_t)0xA01C4C72, (q31_t)0xAB35F5B5, (q31_t)0xA1288376, + (q31_t)0xAA0A5B2D, (q31_t)0xA2386283, (q31_t)0xA8E21106, + (q31_t)0xA34BDF20, (q31_t)0xA7BD22AB, (q31_t)0xA462EEAC, + (q31_t)0xA69B9B68, (q31_t)0xA57D8666, (q31_t)0xA57D8666, + (q31_t)0xA69B9B68, (q31_t)0xA462EEAC, (q31_t)0xA7BD22AB, + (q31_t)0xA34BDF20, (q31_t)0xA8E21106, (q31_t)0xA2386283, + (q31_t)0xAA0A5B2D, (q31_t)0xA1288376, (q31_t)0xAB35F5B5, + (q31_t)0xA01C4C72, (q31_t)0xAC64D510, (q31_t)0x9F13C7D0, + (q31_t)0xAD96ED91, (q31_t)0x9E0EFFC1, (q31_t)0xAECC336B, + (q31_t)0x9D0DFE53, (q31_t)0xB0049AB2, (q31_t)0x9C10CD70, + (q31_t)0xB140175B, (q31_t)0x9B1776D9, (q31_t)0xB27E9D3B, + (q31_t)0x9A22042C, (q31_t)0xB3C0200C, (q31_t)0x99307EE0, + (q31_t)0xB5049368, (q31_t)0x9842F043, (q31_t)0xB64BEACC, + (q31_t)0x9759617E, (q31_t)0xB796199B, (q31_t)0x9673DB94, + (q31_t)0xB8E31319, (q31_t)0x9592675B, (q31_t)0xBA32CA70, + (q31_t)0x94B50D87, (q31_t)0xBB8532AF, (q31_t)0x93DBD69F, + (q31_t)0xBCDA3ECA, (q31_t)0x9306CB04, (q31_t)0xBE31E19B, + (q31_t)0x9235F2EB, (q31_t)0xBF8C0DE2, (q31_t)0x91695663, + (q31_t)0xC0E8B648, (q31_t)0x90A0FD4E, (q31_t)0xC247CD5A, + (q31_t)0x8FDCEF66, (q31_t)0xC3A9458F, (q31_t)0x8F1D343A, + (q31_t)0xC50D1148, (q31_t)0x8E61D32D, (q31_t)0xC67322CD, + (q31_t)0x8DAAD37B, (q31_t)0xC7DB6C50, (q31_t)0x8CF83C30, + (q31_t)0xC945DFEC, (q31_t)0x8C4A142F, (q31_t)0xCAB26FA9, + (q31_t)0x8BA0622F, (q31_t)0xCC210D78, (q31_t)0x8AFB2CBA, + (q31_t)0xCD91AB38, (q31_t)0x8A5A7A30, (q31_t)0xCF043AB2, + (q31_t)0x89BE50C3, (q31_t)0xD078AD9D, (q31_t)0x8926B677, + (q31_t)0xD1EEF59E, (q31_t)0x8893B124, (q31_t)0xD3670445, + (q31_t)0x88054677, (q31_t)0xD4E0CB14, (q31_t)0x877B7BEC, + (q31_t)0xD65C3B7B, (q31_t)0x86F656D3, (q31_t)0xD7D946D7, + (q31_t)0x8675DC4E, (q31_t)0xD957DE7A, (q31_t)0x85FA1152, + (q31_t)0xDAD7F3A2, (q31_t)0x8582FAA4, (q31_t)0xDC597781, + (q31_t)0x85109CDC, (q31_t)0xDDDC5B3A, (q31_t)0x84A2FC62, + (q31_t)0xDF608FE3, (q31_t)0x843A1D70, (q31_t)0xE0E60684, + (q31_t)0x83D60411, (q31_t)0xE26CB01A, (q31_t)0x8376B422, + (q31_t)0xE3F47D95, (q31_t)0x831C314E, (q31_t)0xE57D5FDA, + (q31_t)0x82C67F13, (q31_t)0xE70747C3, (q31_t)0x8275A0C0, + (q31_t)0xE8922621, (q31_t)0x82299971, (q31_t)0xEA1DEBBB, + (q31_t)0x81E26C16, (q31_t)0xEBAA894E, (q31_t)0x81A01B6C, + (q31_t)0xED37EF91, (q31_t)0x8162AA03, (q31_t)0xEEC60F31, + (q31_t)0x812A1A39, (q31_t)0xF054D8D4, (q31_t)0x80F66E3C, + (q31_t)0xF1E43D1C, (q31_t)0x80C7A80A, (q31_t)0xF3742CA1, + (q31_t)0x809DC970, (q31_t)0xF50497FA, (q31_t)0x8078D40D, + (q31_t)0xF6956FB6, (q31_t)0x8058C94C, (q31_t)0xF826A461, + (q31_t)0x803DAA69, (q31_t)0xF9B82683, (q31_t)0x80277872, + (q31_t)0xFB49E6A2, (q31_t)0x80163440, (q31_t)0xFCDBD541, + (q31_t)0x8009DE7D, (q31_t)0xFE6DE2E0, (q31_t)0x800277A5 +}; + +/** +* \par +* Example code for Q31 Twiddle factors Generation:: +* \par +*
for(i = 0; i< 3N/4; i++)
+* {
+*    twiddleCoefQ31[2*i]= cos(i * 2*PI/(float)N);
+*    twiddleCoefQ31[2*i+1]= sin(i * 2*PI/(float)N);
+* } 
+* \par +* where N = 1024 and PI = 3.14159265358979 +* \par +* Cos and Sin values are interleaved fashion +* \par +* Convert Floating point to Q31(Fixed point 1.31): +* round(twiddleCoefQ31(i) * pow(2, 31)) +* +*/ +const q31_t twiddleCoef_1024_q31[1536] = { + (q31_t)0x7FFFFFFF, (q31_t)0x00000000, (q31_t)0x7FFF6216, + (q31_t)0x00C90F88, (q31_t)0x7FFD885A, (q31_t)0x01921D1F, + (q31_t)0x7FFA72D1, (q31_t)0x025B26D7, (q31_t)0x7FF62182, + (q31_t)0x03242ABF, (q31_t)0x7FF09477, (q31_t)0x03ED26E6, + (q31_t)0x7FE9CBC0, (q31_t)0x04B6195D, (q31_t)0x7FE1C76B, + (q31_t)0x057F0034, (q31_t)0x7FD8878D, (q31_t)0x0647D97C, + (q31_t)0x7FCE0C3E, (q31_t)0x0710A344, (q31_t)0x7FC25596, + (q31_t)0x07D95B9E, (q31_t)0x7FB563B2, (q31_t)0x08A2009A, + (q31_t)0x7FA736B4, (q31_t)0x096A9049, (q31_t)0x7F97CEBC, + (q31_t)0x0A3308BC, (q31_t)0x7F872BF3, (q31_t)0x0AFB6805, + (q31_t)0x7F754E7F, (q31_t)0x0BC3AC35, (q31_t)0x7F62368F, + (q31_t)0x0C8BD35E, (q31_t)0x7F4DE450, (q31_t)0x0D53DB92, + (q31_t)0x7F3857F5, (q31_t)0x0E1BC2E3, (q31_t)0x7F2191B4, + (q31_t)0x0EE38765, (q31_t)0x7F0991C3, (q31_t)0x0FAB272B, + (q31_t)0x7EF0585F, (q31_t)0x1072A047, (q31_t)0x7ED5E5C6, + (q31_t)0x1139F0CE, (q31_t)0x7EBA3A39, (q31_t)0x120116D4, + (q31_t)0x7E9D55FC, (q31_t)0x12C8106E, (q31_t)0x7E7F3956, + (q31_t)0x138EDBB0, (q31_t)0x7E5FE493, (q31_t)0x145576B1, + (q31_t)0x7E3F57FE, (q31_t)0x151BDF85, (q31_t)0x7E1D93E9, + (q31_t)0x15E21444, (q31_t)0x7DFA98A7, (q31_t)0x16A81305, + (q31_t)0x7DD6668E, (q31_t)0x176DD9DE, (q31_t)0x7DB0FDF7, + (q31_t)0x183366E8, (q31_t)0x7D8A5F3F, (q31_t)0x18F8B83C, + (q31_t)0x7D628AC5, (q31_t)0x19BDCBF2, (q31_t)0x7D3980EC, + (q31_t)0x1A82A025, (q31_t)0x7D0F4218, (q31_t)0x1B4732EF, + (q31_t)0x7CE3CEB1, (q31_t)0x1C0B826A, (q31_t)0x7CB72724, + (q31_t)0x1CCF8CB3, (q31_t)0x7C894BDD, (q31_t)0x1D934FE5, + (q31_t)0x7C5A3D4F, (q31_t)0x1E56CA1E, (q31_t)0x7C29FBEE, + (q31_t)0x1F19F97B, (q31_t)0x7BF88830, (q31_t)0x1FDCDC1A, + (q31_t)0x7BC5E28F, (q31_t)0x209F701C, (q31_t)0x7B920B89, + (q31_t)0x2161B39F, (q31_t)0x7B5D039D, (q31_t)0x2223A4C5, + (q31_t)0x7B26CB4F, (q31_t)0x22E541AE, (q31_t)0x7AEF6323, + (q31_t)0x23A6887E, (q31_t)0x7AB6CBA3, (q31_t)0x24677757, + (q31_t)0x7A7D055B, (q31_t)0x25280C5D, (q31_t)0x7A4210D8, + (q31_t)0x25E845B5, (q31_t)0x7A05EEAD, (q31_t)0x26A82185, + (q31_t)0x79C89F6D, (q31_t)0x27679DF4, (q31_t)0x798A23B1, + (q31_t)0x2826B928, (q31_t)0x794A7C11, (q31_t)0x28E5714A, + (q31_t)0x7909A92C, (q31_t)0x29A3C484, (q31_t)0x78C7ABA1, + (q31_t)0x2A61B101, (q31_t)0x78848413, (q31_t)0x2B1F34EB, + (q31_t)0x78403328, (q31_t)0x2BDC4E6F, (q31_t)0x77FAB988, + (q31_t)0x2C98FBBA, (q31_t)0x77B417DF, (q31_t)0x2D553AFB, + (q31_t)0x776C4EDB, (q31_t)0x2E110A62, (q31_t)0x77235F2D, + (q31_t)0x2ECC681E, (q31_t)0x76D94988, (q31_t)0x2F875262, + (q31_t)0x768E0EA5, (q31_t)0x3041C760, (q31_t)0x7641AF3C, + (q31_t)0x30FBC54D, (q31_t)0x75F42C0A, (q31_t)0x31B54A5D, + (q31_t)0x75A585CF, (q31_t)0x326E54C7, (q31_t)0x7555BD4B, + (q31_t)0x3326E2C2, (q31_t)0x7504D345, (q31_t)0x33DEF287, + (q31_t)0x74B2C883, (q31_t)0x3496824F, (q31_t)0x745F9DD1, + (q31_t)0x354D9056, (q31_t)0x740B53FA, (q31_t)0x36041AD9, + (q31_t)0x73B5EBD0, (q31_t)0x36BA2013, (q31_t)0x735F6626, + (q31_t)0x376F9E46, (q31_t)0x7307C3D0, (q31_t)0x382493B0, + (q31_t)0x72AF05A6, (q31_t)0x38D8FE93, (q31_t)0x72552C84, + (q31_t)0x398CDD32, (q31_t)0x71FA3948, (q31_t)0x3A402DD1, + (q31_t)0x719E2CD2, (q31_t)0x3AF2EEB7, (q31_t)0x71410804, + (q31_t)0x3BA51E29, (q31_t)0x70E2CBC6, (q31_t)0x3C56BA70, + (q31_t)0x708378FE, (q31_t)0x3D07C1D5, (q31_t)0x70231099, + (q31_t)0x3DB832A5, (q31_t)0x6FC19385, (q31_t)0x3E680B2C, + (q31_t)0x6F5F02B1, (q31_t)0x3F1749B7, (q31_t)0x6EFB5F12, + (q31_t)0x3FC5EC97, (q31_t)0x6E96A99C, (q31_t)0x4073F21D, + (q31_t)0x6E30E349, (q31_t)0x4121589A, (q31_t)0x6DCA0D14, + (q31_t)0x41CE1E64, (q31_t)0x6D6227FA, (q31_t)0x427A41D0, + (q31_t)0x6CF934FB, (q31_t)0x4325C135, (q31_t)0x6C8F351C, + (q31_t)0x43D09AEC, (q31_t)0x6C242960, (q31_t)0x447ACD50, + (q31_t)0x6BB812D0, (q31_t)0x452456BC, (q31_t)0x6B4AF278, + (q31_t)0x45CD358F, (q31_t)0x6ADCC964, (q31_t)0x46756827, + (q31_t)0x6A6D98A4, (q31_t)0x471CECE6, (q31_t)0x69FD614A, + (q31_t)0x47C3C22E, (q31_t)0x698C246C, (q31_t)0x4869E664, + (q31_t)0x6919E320, (q31_t)0x490F57EE, (q31_t)0x68A69E81, + (q31_t)0x49B41533, (q31_t)0x683257AA, (q31_t)0x4A581C9D, + (q31_t)0x67BD0FBC, (q31_t)0x4AFB6C97, (q31_t)0x6746C7D7, + (q31_t)0x4B9E038F, (q31_t)0x66CF811F, (q31_t)0x4C3FDFF3, + (q31_t)0x66573CBB, (q31_t)0x4CE10034, (q31_t)0x65DDFBD3, + (q31_t)0x4D8162C4, (q31_t)0x6563BF92, (q31_t)0x4E210617, + (q31_t)0x64E88926, (q31_t)0x4EBFE8A4, (q31_t)0x646C59BF, + (q31_t)0x4F5E08E3, (q31_t)0x63EF328F, (q31_t)0x4FFB654D, + (q31_t)0x637114CC, (q31_t)0x5097FC5E, (q31_t)0x62F201AC, + (q31_t)0x5133CC94, (q31_t)0x6271FA69, (q31_t)0x51CED46E, + (q31_t)0x61F1003E, (q31_t)0x5269126E, (q31_t)0x616F146B, + (q31_t)0x53028517, (q31_t)0x60EC3830, (q31_t)0x539B2AEF, + (q31_t)0x60686CCE, (q31_t)0x5433027D, (q31_t)0x5FE3B38D, + (q31_t)0x54CA0A4A, (q31_t)0x5F5E0DB3, (q31_t)0x556040E2, + (q31_t)0x5ED77C89, (q31_t)0x55F5A4D2, (q31_t)0x5E50015D, + (q31_t)0x568A34A9, (q31_t)0x5DC79D7C, (q31_t)0x571DEEF9, + (q31_t)0x5D3E5236, (q31_t)0x57B0D256, (q31_t)0x5CB420DF, + (q31_t)0x5842DD54, (q31_t)0x5C290ACC, (q31_t)0x58D40E8C, + (q31_t)0x5B9D1153, (q31_t)0x59646497, (q31_t)0x5B1035CF, + (q31_t)0x59F3DE12, (q31_t)0x5A82799A, (q31_t)0x5A82799A, + (q31_t)0x59F3DE12, (q31_t)0x5B1035CF, (q31_t)0x59646497, + (q31_t)0x5B9D1153, (q31_t)0x58D40E8C, (q31_t)0x5C290ACC, + (q31_t)0x5842DD54, (q31_t)0x5CB420DF, (q31_t)0x57B0D256, + (q31_t)0x5D3E5236, (q31_t)0x571DEEF9, (q31_t)0x5DC79D7C, + (q31_t)0x568A34A9, (q31_t)0x5E50015D, (q31_t)0x55F5A4D2, + (q31_t)0x5ED77C89, (q31_t)0x556040E2, (q31_t)0x5F5E0DB3, + (q31_t)0x54CA0A4A, (q31_t)0x5FE3B38D, (q31_t)0x5433027D, + (q31_t)0x60686CCE, (q31_t)0x539B2AEF, (q31_t)0x60EC3830, + (q31_t)0x53028517, (q31_t)0x616F146B, (q31_t)0x5269126E, + (q31_t)0x61F1003E, (q31_t)0x51CED46E, (q31_t)0x6271FA69, + 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(q31_t)0x82C67F13, (q31_t)0xE57D5FDA, (q31_t)0x82F0BDE8, + (q31_t)0xE4B8CD10, (q31_t)0x831C314E, (q31_t)0xE3F47D95, + (q31_t)0x8348D8DB, (q31_t)0xE330734C, (q31_t)0x8376B422, + (q31_t)0xE26CB01A, (q31_t)0x83A5C2B0, (q31_t)0xE1A935E1, + (q31_t)0x83D60411, (q31_t)0xE0E60684, (q31_t)0x840777CF, + (q31_t)0xE02323E5, (q31_t)0x843A1D70, (q31_t)0xDF608FE3, + (q31_t)0x846DF476, (q31_t)0xDE9E4C60, (q31_t)0x84A2FC62, + (q31_t)0xDDDC5B3A, (q31_t)0x84D934B0, (q31_t)0xDD1ABE51, + (q31_t)0x85109CDC, (q31_t)0xDC597781, (q31_t)0x8549345C, + (q31_t)0xDB9888A8, (q31_t)0x8582FAA4, (q31_t)0xDAD7F3A2, + (q31_t)0x85BDEF27, (q31_t)0xDA17BA4A, (q31_t)0x85FA1152, + (q31_t)0xD957DE7A, (q31_t)0x86376092, (q31_t)0xD898620C, + (q31_t)0x8675DC4E, (q31_t)0xD7D946D7, (q31_t)0x86B583EE, + (q31_t)0xD71A8EB5, (q31_t)0x86F656D3, (q31_t)0xD65C3B7B, + (q31_t)0x8738545E, (q31_t)0xD59E4EFE, (q31_t)0x877B7BEC, + (q31_t)0xD4E0CB14, (q31_t)0x87BFCCD7, (q31_t)0xD423B190, + (q31_t)0x88054677, (q31_t)0xD3670445, (q31_t)0x884BE820, + (q31_t)0xD2AAC504, (q31_t)0x8893B124, (q31_t)0xD1EEF59E, + (q31_t)0x88DCA0D3, (q31_t)0xD13397E1, (q31_t)0x8926B677, + (q31_t)0xD078AD9D, (q31_t)0x8971F15A, (q31_t)0xCFBE389F, + (q31_t)0x89BE50C3, (q31_t)0xCF043AB2, (q31_t)0x8A0BD3F5, + (q31_t)0xCE4AB5A2, (q31_t)0x8A5A7A30, (q31_t)0xCD91AB38, + (q31_t)0x8AAA42B4, (q31_t)0xCCD91D3D, (q31_t)0x8AFB2CBA, + (q31_t)0xCC210D78, (q31_t)0x8B4D377C, (q31_t)0xCB697DB0, + (q31_t)0x8BA0622F, (q31_t)0xCAB26FA9, (q31_t)0x8BF4AC05, + (q31_t)0xC9FBE527, (q31_t)0x8C4A142F, (q31_t)0xC945DFEC, + (q31_t)0x8CA099D9, (q31_t)0xC89061BA, (q31_t)0x8CF83C30, + (q31_t)0xC7DB6C50, (q31_t)0x8D50FA59, (q31_t)0xC727016C, + (q31_t)0x8DAAD37B, (q31_t)0xC67322CD, (q31_t)0x8E05C6B7, + (q31_t)0xC5BFD22E, (q31_t)0x8E61D32D, (q31_t)0xC50D1148, + (q31_t)0x8EBEF7FB, (q31_t)0xC45AE1D7, (q31_t)0x8F1D343A, + (q31_t)0xC3A9458F, (q31_t)0x8F7C8701, (q31_t)0xC2F83E2A, + (q31_t)0x8FDCEF66, (q31_t)0xC247CD5A, (q31_t)0x903E6C7A, + (q31_t)0xC197F4D3, (q31_t)0x90A0FD4E, (q31_t)0xC0E8B648, + (q31_t)0x9104A0ED, (q31_t)0xC03A1368, (q31_t)0x91695663, + (q31_t)0xBF8C0DE2, (q31_t)0x91CF1CB6, (q31_t)0xBEDEA765, + (q31_t)0x9235F2EB, (q31_t)0xBE31E19B, (q31_t)0x929DD805, + (q31_t)0xBD85BE2F, (q31_t)0x9306CB04, (q31_t)0xBCDA3ECA, + (q31_t)0x9370CAE4, (q31_t)0xBC2F6513, (q31_t)0x93DBD69F, + (q31_t)0xBB8532AF, (q31_t)0x9447ED2F, (q31_t)0xBADBA943, + (q31_t)0x94B50D87, (q31_t)0xBA32CA70, (q31_t)0x9523369B, + (q31_t)0xB98A97D8, (q31_t)0x9592675B, (q31_t)0xB8E31319, + (q31_t)0x96029EB5, (q31_t)0xB83C3DD1, (q31_t)0x9673DB94, + (q31_t)0xB796199B, (q31_t)0x96E61CDF, (q31_t)0xB6F0A811, + (q31_t)0x9759617E, (q31_t)0xB64BEACC, (q31_t)0x97CDA855, + (q31_t)0xB5A7E362, (q31_t)0x9842F043, (q31_t)0xB5049368, + (q31_t)0x98B93828, (q31_t)0xB461FC70, (q31_t)0x99307EE0, + (q31_t)0xB3C0200C, (q31_t)0x99A8C344, (q31_t)0xB31EFFCB, + (q31_t)0x9A22042C, (q31_t)0xB27E9D3B, (q31_t)0x9A9C406D, + (q31_t)0xB1DEF9E8, (q31_t)0x9B1776D9, (q31_t)0xB140175B, + (q31_t)0x9B93A640, (q31_t)0xB0A1F71C, (q31_t)0x9C10CD70, + (q31_t)0xB0049AB2, (q31_t)0x9C8EEB33, (q31_t)0xAF6803A1, + (q31_t)0x9D0DFE53, (q31_t)0xAECC336B, (q31_t)0x9D8E0596, + (q31_t)0xAE312B91, (q31_t)0x9E0EFFC1, (q31_t)0xAD96ED91, + (q31_t)0x9E90EB94, (q31_t)0xACFD7AE8, (q31_t)0x9F13C7D0, + (q31_t)0xAC64D510, (q31_t)0x9F979331, (q31_t)0xABCCFD82, + (q31_t)0xA01C4C72, (q31_t)0xAB35F5B5, (q31_t)0xA0A1F24C, + (q31_t)0xAA9FBF1D, (q31_t)0xA1288376, (q31_t)0xAA0A5B2D, + (q31_t)0xA1AFFEA2, (q31_t)0xA975CB56, (q31_t)0xA2386283, + (q31_t)0xA8E21106, (q31_t)0xA2C1ADC9, (q31_t)0xA84F2DA9, + (q31_t)0xA34BDF20, (q31_t)0xA7BD22AB, (q31_t)0xA3D6F533, + (q31_t)0xA72BF173, (q31_t)0xA462EEAC, (q31_t)0xA69B9B68, + (q31_t)0xA4EFCA31, (q31_t)0xA60C21ED, (q31_t)0xA57D8666, + (q31_t)0xA57D8666, (q31_t)0xA60C21ED, (q31_t)0xA4EFCA31, + (q31_t)0xA69B9B68, (q31_t)0xA462EEAC, (q31_t)0xA72BF173, + (q31_t)0xA3D6F533, (q31_t)0xA7BD22AB, (q31_t)0xA34BDF20, + (q31_t)0xA84F2DA9, (q31_t)0xA2C1ADC9, (q31_t)0xA8E21106, + (q31_t)0xA2386283, (q31_t)0xA975CB56, (q31_t)0xA1AFFEA2, + (q31_t)0xAA0A5B2D, (q31_t)0xA1288376, (q31_t)0xAA9FBF1D, + (q31_t)0xA0A1F24C, (q31_t)0xAB35F5B5, (q31_t)0xA01C4C72, + (q31_t)0xABCCFD82, (q31_t)0x9F979331, (q31_t)0xAC64D510, + (q31_t)0x9F13C7D0, (q31_t)0xACFD7AE8, (q31_t)0x9E90EB94, + (q31_t)0xAD96ED91, (q31_t)0x9E0EFFC1, (q31_t)0xAE312B91, + (q31_t)0x9D8E0596, (q31_t)0xAECC336B, (q31_t)0x9D0DFE53, + (q31_t)0xAF6803A1, (q31_t)0x9C8EEB33, (q31_t)0xB0049AB2, + (q31_t)0x9C10CD70, (q31_t)0xB0A1F71C, (q31_t)0x9B93A640, + (q31_t)0xB140175B, (q31_t)0x9B1776D9, (q31_t)0xB1DEF9E8, + (q31_t)0x9A9C406D, (q31_t)0xB27E9D3B, (q31_t)0x9A22042C, + (q31_t)0xB31EFFCB, (q31_t)0x99A8C344, (q31_t)0xB3C0200C, + (q31_t)0x99307EE0, (q31_t)0xB461FC70, (q31_t)0x98B93828, + (q31_t)0xB5049368, (q31_t)0x9842F043, (q31_t)0xB5A7E362, + (q31_t)0x97CDA855, (q31_t)0xB64BEACC, (q31_t)0x9759617E, + (q31_t)0xB6F0A811, (q31_t)0x96E61CDF, (q31_t)0xB796199B, + (q31_t)0x9673DB94, (q31_t)0xB83C3DD1, (q31_t)0x96029EB5, + (q31_t)0xB8E31319, (q31_t)0x9592675B, (q31_t)0xB98A97D8, + (q31_t)0x9523369B, (q31_t)0xBA32CA70, (q31_t)0x94B50D87, + (q31_t)0xBADBA943, (q31_t)0x9447ED2F, (q31_t)0xBB8532AF, + (q31_t)0x93DBD69F, (q31_t)0xBC2F6513, (q31_t)0x9370CAE4, + (q31_t)0xBCDA3ECA, (q31_t)0x9306CB04, (q31_t)0xBD85BE2F, + (q31_t)0x929DD805, (q31_t)0xBE31E19B, (q31_t)0x9235F2EB, + (q31_t)0xBEDEA765, (q31_t)0x91CF1CB6, (q31_t)0xBF8C0DE2, + (q31_t)0x91695663, (q31_t)0xC03A1368, (q31_t)0x9104A0ED, + (q31_t)0xC0E8B648, (q31_t)0x90A0FD4E, (q31_t)0xC197F4D3, + (q31_t)0x903E6C7A, (q31_t)0xC247CD5A, (q31_t)0x8FDCEF66, + (q31_t)0xC2F83E2A, (q31_t)0x8F7C8701, (q31_t)0xC3A9458F, + (q31_t)0x8F1D343A, (q31_t)0xC45AE1D7, (q31_t)0x8EBEF7FB, + (q31_t)0xC50D1148, (q31_t)0x8E61D32D, (q31_t)0xC5BFD22E, + (q31_t)0x8E05C6B7, (q31_t)0xC67322CD, (q31_t)0x8DAAD37B, + (q31_t)0xC727016C, (q31_t)0x8D50FA59, (q31_t)0xC7DB6C50, + (q31_t)0x8CF83C30, (q31_t)0xC89061BA, (q31_t)0x8CA099D9, + (q31_t)0xC945DFEC, (q31_t)0x8C4A142F, (q31_t)0xC9FBE527, + (q31_t)0x8BF4AC05, (q31_t)0xCAB26FA9, (q31_t)0x8BA0622F, + (q31_t)0xCB697DB0, (q31_t)0x8B4D377C, (q31_t)0xCC210D78, + (q31_t)0x8AFB2CBA, (q31_t)0xCCD91D3D, (q31_t)0x8AAA42B4, + (q31_t)0xCD91AB38, (q31_t)0x8A5A7A30, (q31_t)0xCE4AB5A2, + (q31_t)0x8A0BD3F5, (q31_t)0xCF043AB2, (q31_t)0x89BE50C3, + (q31_t)0xCFBE389F, (q31_t)0x8971F15A, (q31_t)0xD078AD9D, + (q31_t)0x8926B677, (q31_t)0xD13397E1, (q31_t)0x88DCA0D3, + (q31_t)0xD1EEF59E, (q31_t)0x8893B124, (q31_t)0xD2AAC504, + (q31_t)0x884BE820, (q31_t)0xD3670445, (q31_t)0x88054677, + (q31_t)0xD423B190, (q31_t)0x87BFCCD7, (q31_t)0xD4E0CB14, + (q31_t)0x877B7BEC, (q31_t)0xD59E4EFE, (q31_t)0x8738545E, + (q31_t)0xD65C3B7B, (q31_t)0x86F656D3, (q31_t)0xD71A8EB5, + (q31_t)0x86B583EE, (q31_t)0xD7D946D7, (q31_t)0x8675DC4E, + (q31_t)0xD898620C, (q31_t)0x86376092, (q31_t)0xD957DE7A, + (q31_t)0x85FA1152, (q31_t)0xDA17BA4A, (q31_t)0x85BDEF27, + (q31_t)0xDAD7F3A2, (q31_t)0x8582FAA4, (q31_t)0xDB9888A8, + (q31_t)0x8549345C, (q31_t)0xDC597781, (q31_t)0x85109CDC, + (q31_t)0xDD1ABE51, (q31_t)0x84D934B0, (q31_t)0xDDDC5B3A, + (q31_t)0x84A2FC62, (q31_t)0xDE9E4C60, (q31_t)0x846DF476, + (q31_t)0xDF608FE3, (q31_t)0x843A1D70, (q31_t)0xE02323E5, + (q31_t)0x840777CF, (q31_t)0xE0E60684, (q31_t)0x83D60411, + (q31_t)0xE1A935E1, (q31_t)0x83A5C2B0, (q31_t)0xE26CB01A, + (q31_t)0x8376B422, (q31_t)0xE330734C, (q31_t)0x8348D8DB, + (q31_t)0xE3F47D95, (q31_t)0x831C314E, (q31_t)0xE4B8CD10, + (q31_t)0x82F0BDE8, (q31_t)0xE57D5FDA, (q31_t)0x82C67F13, + (q31_t)0xE642340D, (q31_t)0x829D753A, (q31_t)0xE70747C3, + (q31_t)0x8275A0C0, (q31_t)0xE7CC9917, (q31_t)0x824F0208, + (q31_t)0xE8922621, (q31_t)0x82299971, (q31_t)0xE957ECFB, + (q31_t)0x82056758, (q31_t)0xEA1DEBBB, (q31_t)0x81E26C16, + (q31_t)0xEAE4207A, (q31_t)0x81C0A801, (q31_t)0xEBAA894E, + (q31_t)0x81A01B6C, (q31_t)0xEC71244F, (q31_t)0x8180C6A9, + (q31_t)0xED37EF91, (q31_t)0x8162AA03, (q31_t)0xEDFEE92B, + (q31_t)0x8145C5C6, (q31_t)0xEEC60F31, (q31_t)0x812A1A39, + (q31_t)0xEF8D5FB8, (q31_t)0x810FA7A0, (q31_t)0xF054D8D4, + (q31_t)0x80F66E3C, (q31_t)0xF11C789A, (q31_t)0x80DE6E4C, + (q31_t)0xF1E43D1C, (q31_t)0x80C7A80A, (q31_t)0xF2AC246D, + (q31_t)0x80B21BAF, (q31_t)0xF3742CA1, (q31_t)0x809DC970, + (q31_t)0xF43C53CA, (q31_t)0x808AB180, (q31_t)0xF50497FA, + (q31_t)0x8078D40D, (q31_t)0xF5CCF743, (q31_t)0x80683143, + (q31_t)0xF6956FB6, (q31_t)0x8058C94C, (q31_t)0xF75DFF65, + (q31_t)0x804A9C4D, (q31_t)0xF826A461, (q31_t)0x803DAA69, + (q31_t)0xF8EF5CBB, (q31_t)0x8031F3C1, (q31_t)0xF9B82683, + (q31_t)0x80277872, (q31_t)0xFA80FFCB, (q31_t)0x801E3894, + (q31_t)0xFB49E6A2, (q31_t)0x80163440, (q31_t)0xFC12D919, + (q31_t)0x800F6B88, (q31_t)0xFCDBD541, (q31_t)0x8009DE7D, + (q31_t)0xFDA4D928, (q31_t)0x80058D2E, (q31_t)0xFE6DE2E0, + (q31_t)0x800277A5, (q31_t)0xFF36F078, (q31_t)0x80009DE9 +}; + +/** +* \par +* Example code for Q31 Twiddle factors Generation:: +* \par +*
for(i = 0; i< 3N/4; i++)
+* {
+*    twiddleCoefQ31[2*i]= cos(i * 2*PI/(float)N);
+*    twiddleCoefQ31[2*i+1]= sin(i * 2*PI/(float)N);
+* } 
+* \par +* where N = 2048 and PI = 3.14159265358979 +* \par +* Cos and Sin values are interleaved fashion +* \par +* Convert Floating point to Q31(Fixed point 1.31): +* round(twiddleCoefQ31(i) * pow(2, 31)) +* +*/ +const q31_t twiddleCoef_2048_q31[3072] = { + (q31_t)0x7FFFFFFF, (q31_t)0x00000000, (q31_t)0x7FFFD885, + (q31_t)0x006487E3, (q31_t)0x7FFF6216, (q31_t)0x00C90F88, + (q31_t)0x7FFE9CB2, (q31_t)0x012D96B0, (q31_t)0x7FFD885A, + (q31_t)0x01921D1F, (q31_t)0x7FFC250F, (q31_t)0x01F6A296, + (q31_t)0x7FFA72D1, (q31_t)0x025B26D7, (q31_t)0x7FF871A1, + (q31_t)0x02BFA9A4, (q31_t)0x7FF62182, (q31_t)0x03242ABF, + (q31_t)0x7FF38273, (q31_t)0x0388A9E9, (q31_t)0x7FF09477, + (q31_t)0x03ED26E6, (q31_t)0x7FED5790, (q31_t)0x0451A176, + (q31_t)0x7FE9CBC0, (q31_t)0x04B6195D, (q31_t)0x7FE5F108, + (q31_t)0x051A8E5C, (q31_t)0x7FE1C76B, (q31_t)0x057F0034, + (q31_t)0x7FDD4EEC, (q31_t)0x05E36EA9, (q31_t)0x7FD8878D, + (q31_t)0x0647D97C, (q31_t)0x7FD37152, (q31_t)0x06AC406F, + (q31_t)0x7FCE0C3E, (q31_t)0x0710A344, (q31_t)0x7FC85853, + (q31_t)0x077501BE, (q31_t)0x7FC25596, (q31_t)0x07D95B9E, + (q31_t)0x7FBC040A, (q31_t)0x083DB0A7, (q31_t)0x7FB563B2, + (q31_t)0x08A2009A, (q31_t)0x7FAE7494, (q31_t)0x09064B3A, + (q31_t)0x7FA736B4, (q31_t)0x096A9049, (q31_t)0x7F9FAA15, + (q31_t)0x09CECF89, (q31_t)0x7F97CEBC, (q31_t)0x0A3308BC, + (q31_t)0x7F8FA4AF, (q31_t)0x0A973BA5, (q31_t)0x7F872BF3, + (q31_t)0x0AFB6805, (q31_t)0x7F7E648B, (q31_t)0x0B5F8D9F, + (q31_t)0x7F754E7F, (q31_t)0x0BC3AC35, (q31_t)0x7F6BE9D4, + (q31_t)0x0C27C389, (q31_t)0x7F62368F, (q31_t)0x0C8BD35E, + (q31_t)0x7F5834B6, (q31_t)0x0CEFDB75, (q31_t)0x7F4DE450, + (q31_t)0x0D53DB92, (q31_t)0x7F434563, (q31_t)0x0DB7D376, + (q31_t)0x7F3857F5, (q31_t)0x0E1BC2E3, (q31_t)0x7F2D1C0E, + (q31_t)0x0E7FA99D, (q31_t)0x7F2191B4, (q31_t)0x0EE38765, + (q31_t)0x7F15B8EE, (q31_t)0x0F475BFE, (q31_t)0x7F0991C3, + (q31_t)0x0FAB272B, (q31_t)0x7EFD1C3C, (q31_t)0x100EE8AD, + (q31_t)0x7EF0585F, (q31_t)0x1072A047, (q31_t)0x7EE34635, + (q31_t)0x10D64DBC, (q31_t)0x7ED5E5C6, (q31_t)0x1139F0CE, + (q31_t)0x7EC8371A, (q31_t)0x119D8940, (q31_t)0x7EBA3A39, + (q31_t)0x120116D4, (q31_t)0x7EABEF2C, (q31_t)0x1264994E, + (q31_t)0x7E9D55FC, (q31_t)0x12C8106E, (q31_t)0x7E8E6EB1, + (q31_t)0x132B7BF9, (q31_t)0x7E7F3956, (q31_t)0x138EDBB0, + (q31_t)0x7E6FB5F3, (q31_t)0x13F22F57, (q31_t)0x7E5FE493, + (q31_t)0x145576B1, (q31_t)0x7E4FC53E, (q31_t)0x14B8B17F, + (q31_t)0x7E3F57FE, (q31_t)0x151BDF85, (q31_t)0x7E2E9CDF, + (q31_t)0x157F0086, (q31_t)0x7E1D93E9, (q31_t)0x15E21444, + (q31_t)0x7E0C3D29, (q31_t)0x16451A83, (q31_t)0x7DFA98A7, + (q31_t)0x16A81305, (q31_t)0x7DE8A670, (q31_t)0x170AFD8D, + (q31_t)0x7DD6668E, (q31_t)0x176DD9DE, (q31_t)0x7DC3D90D, + (q31_t)0x17D0A7BB, (q31_t)0x7DB0FDF7, (q31_t)0x183366E8, + (q31_t)0x7D9DD55A, (q31_t)0x18961727, (q31_t)0x7D8A5F3F, + (q31_t)0x18F8B83C, (q31_t)0x7D769BB5, (q31_t)0x195B49E9, + (q31_t)0x7D628AC5, (q31_t)0x19BDCBF2, (q31_t)0x7D4E2C7E, + (q31_t)0x1A203E1B, (q31_t)0x7D3980EC, (q31_t)0x1A82A025, + (q31_t)0x7D24881A, (q31_t)0x1AE4F1D6, (q31_t)0x7D0F4218, + (q31_t)0x1B4732EF, (q31_t)0x7CF9AEF0, (q31_t)0x1BA96334, + (q31_t)0x7CE3CEB1, (q31_t)0x1C0B826A, (q31_t)0x7CCDA168, + (q31_t)0x1C6D9053, (q31_t)0x7CB72724, (q31_t)0x1CCF8CB3, + (q31_t)0x7CA05FF1, (q31_t)0x1D31774D, (q31_t)0x7C894BDD, + (q31_t)0x1D934FE5, (q31_t)0x7C71EAF8, (q31_t)0x1DF5163F, + (q31_t)0x7C5A3D4F, (q31_t)0x1E56CA1E, (q31_t)0x7C4242F2, + (q31_t)0x1EB86B46, (q31_t)0x7C29FBEE, (q31_t)0x1F19F97B, + (q31_t)0x7C116853, (q31_t)0x1F7B7480, (q31_t)0x7BF88830, + (q31_t)0x1FDCDC1A, (q31_t)0x7BDF5B94, (q31_t)0x203E300D, + (q31_t)0x7BC5E28F, (q31_t)0x209F701C, (q31_t)0x7BAC1D31, + (q31_t)0x21009C0B, (q31_t)0x7B920B89, (q31_t)0x2161B39F, + (q31_t)0x7B77ADA8, (q31_t)0x21C2B69C, (q31_t)0x7B5D039D, + (q31_t)0x2223A4C5, (q31_t)0x7B420D7A, (q31_t)0x22847DDF, + (q31_t)0x7B26CB4F, (q31_t)0x22E541AE, (q31_t)0x7B0B3D2C, + (q31_t)0x2345EFF7, (q31_t)0x7AEF6323, (q31_t)0x23A6887E, + (q31_t)0x7AD33D45, (q31_t)0x24070B07, (q31_t)0x7AB6CBA3, + (q31_t)0x24677757, (q31_t)0x7A9A0E4F, (q31_t)0x24C7CD32, + (q31_t)0x7A7D055B, (q31_t)0x25280C5D, (q31_t)0x7A5FB0D8, + (q31_t)0x2588349D, (q31_t)0x7A4210D8, (q31_t)0x25E845B5, + (q31_t)0x7A24256E, (q31_t)0x26483F6C, (q31_t)0x7A05EEAD, + (q31_t)0x26A82185, (q31_t)0x79E76CA6, (q31_t)0x2707EBC6, + (q31_t)0x79C89F6D, (q31_t)0x27679DF4, (q31_t)0x79A98715, + (q31_t)0x27C737D2, (q31_t)0x798A23B1, (q31_t)0x2826B928, + (q31_t)0x796A7554, (q31_t)0x288621B9, (q31_t)0x794A7C11, + (q31_t)0x28E5714A, (q31_t)0x792A37FE, (q31_t)0x2944A7A2, + (q31_t)0x7909A92C, (q31_t)0x29A3C484, (q31_t)0x78E8CFB1, + (q31_t)0x2A02C7B8, (q31_t)0x78C7ABA1, (q31_t)0x2A61B101, + (q31_t)0x78A63D10, (q31_t)0x2AC08025, (q31_t)0x78848413, + (q31_t)0x2B1F34EB, (q31_t)0x786280BF, (q31_t)0x2B7DCF17, + (q31_t)0x78403328, (q31_t)0x2BDC4E6F, (q31_t)0x781D9B64, + (q31_t)0x2C3AB2B9, (q31_t)0x77FAB988, (q31_t)0x2C98FBBA, + (q31_t)0x77D78DAA, (q31_t)0x2CF72939, (q31_t)0x77B417DF, + (q31_t)0x2D553AFB, (q31_t)0x7790583D, (q31_t)0x2DB330C7, + (q31_t)0x776C4EDB, (q31_t)0x2E110A62, (q31_t)0x7747FBCE, + (q31_t)0x2E6EC792, (q31_t)0x77235F2D, (q31_t)0x2ECC681E, + (q31_t)0x76FE790E, (q31_t)0x2F29EBCC, (q31_t)0x76D94988, + (q31_t)0x2F875262, (q31_t)0x76B3D0B3, (q31_t)0x2FE49BA6, + (q31_t)0x768E0EA5, (q31_t)0x3041C760, (q31_t)0x76680376, + (q31_t)0x309ED555, (q31_t)0x7641AF3C, (q31_t)0x30FBC54D, + (q31_t)0x761B1211, (q31_t)0x3158970D, (q31_t)0x75F42C0A, + (q31_t)0x31B54A5D, (q31_t)0x75CCFD42, (q31_t)0x3211DF03, + (q31_t)0x75A585CF, (q31_t)0x326E54C7, (q31_t)0x757DC5CA, + (q31_t)0x32CAAB6F, (q31_t)0x7555BD4B, (q31_t)0x3326E2C2, + (q31_t)0x752D6C6C, (q31_t)0x3382FA88, (q31_t)0x7504D345, + (q31_t)0x33DEF287, (q31_t)0x74DBF1EF, (q31_t)0x343ACA87, + (q31_t)0x74B2C883, (q31_t)0x3496824F, (q31_t)0x7489571B, + (q31_t)0x34F219A7, (q31_t)0x745F9DD1, (q31_t)0x354D9056, + (q31_t)0x74359CBD, (q31_t)0x35A8E624, (q31_t)0x740B53FA, + (q31_t)0x36041AD9, (q31_t)0x73E0C3A3, (q31_t)0x365F2E3B, + (q31_t)0x73B5EBD0, (q31_t)0x36BA2013, (q31_t)0x738ACC9E, + (q31_t)0x3714F02A, (q31_t)0x735F6626, (q31_t)0x376F9E46, + (q31_t)0x7333B883, (q31_t)0x37CA2A30, (q31_t)0x7307C3D0, + (q31_t)0x382493B0, (q31_t)0x72DB8828, (q31_t)0x387EDA8E, + (q31_t)0x72AF05A6, (q31_t)0x38D8FE93, (q31_t)0x72823C66, + (q31_t)0x3932FF87, (q31_t)0x72552C84, (q31_t)0x398CDD32, + (q31_t)0x7227D61C, (q31_t)0x39E6975D, (q31_t)0x71FA3948, + (q31_t)0x3A402DD1, (q31_t)0x71CC5626, (q31_t)0x3A99A057, + (q31_t)0x719E2CD2, (q31_t)0x3AF2EEB7, (q31_t)0x716FBD68, + (q31_t)0x3B4C18BA, (q31_t)0x71410804, (q31_t)0x3BA51E29, + (q31_t)0x71120CC5, (q31_t)0x3BFDFECD, (q31_t)0x70E2CBC6, + (q31_t)0x3C56BA70, (q31_t)0x70B34524, (q31_t)0x3CAF50DA, + (q31_t)0x708378FE, (q31_t)0x3D07C1D5, (q31_t)0x70536771, + (q31_t)0x3D600D2B, (q31_t)0x70231099, (q31_t)0x3DB832A5, + (q31_t)0x6FF27496, (q31_t)0x3E10320D, (q31_t)0x6FC19385, + (q31_t)0x3E680B2C, (q31_t)0x6F906D84, (q31_t)0x3EBFBDCC, + (q31_t)0x6F5F02B1, (q31_t)0x3F1749B7, (q31_t)0x6F2D532C, + (q31_t)0x3F6EAEB8, (q31_t)0x6EFB5F12, (q31_t)0x3FC5EC97, + (q31_t)0x6EC92682, (q31_t)0x401D0320, (q31_t)0x6E96A99C, + (q31_t)0x4073F21D, (q31_t)0x6E63E87F, (q31_t)0x40CAB957, + (q31_t)0x6E30E349, (q31_t)0x4121589A, (q31_t)0x6DFD9A1B, + (q31_t)0x4177CFB0, (q31_t)0x6DCA0D14, (q31_t)0x41CE1E64, + (q31_t)0x6D963C54, (q31_t)0x42244480, (q31_t)0x6D6227FA, + (q31_t)0x427A41D0, (q31_t)0x6D2DD027, (q31_t)0x42D0161E, + (q31_t)0x6CF934FB, (q31_t)0x4325C135, (q31_t)0x6CC45697, + (q31_t)0x437B42E1, (q31_t)0x6C8F351C, (q31_t)0x43D09AEC, + (q31_t)0x6C59D0A9, (q31_t)0x4425C923, (q31_t)0x6C242960, + (q31_t)0x447ACD50, (q31_t)0x6BEE3F62, (q31_t)0x44CFA73F, + (q31_t)0x6BB812D0, (q31_t)0x452456BC, (q31_t)0x6B81A3CD, + (q31_t)0x4578DB93, (q31_t)0x6B4AF278, (q31_t)0x45CD358F, + (q31_t)0x6B13FEF5, (q31_t)0x4621647C, (q31_t)0x6ADCC964, + (q31_t)0x46756827, (q31_t)0x6AA551E8, (q31_t)0x46C9405C, + (q31_t)0x6A6D98A4, (q31_t)0x471CECE6, (q31_t)0x6A359DB9, + (q31_t)0x47706D93, (q31_t)0x69FD614A, (q31_t)0x47C3C22E, + (q31_t)0x69C4E37A, (q31_t)0x4816EA85, (q31_t)0x698C246C, + (q31_t)0x4869E664, (q31_t)0x69532442, (q31_t)0x48BCB598, + (q31_t)0x6919E320, (q31_t)0x490F57EE, (q31_t)0x68E06129, + (q31_t)0x4961CD32, (q31_t)0x68A69E81, (q31_t)0x49B41533, + (q31_t)0x686C9B4B, (q31_t)0x4A062FBD, (q31_t)0x683257AA, + (q31_t)0x4A581C9D, (q31_t)0x67F7D3C4, (q31_t)0x4AA9DBA1, + (q31_t)0x67BD0FBC, (q31_t)0x4AFB6C97, (q31_t)0x67820BB6, + (q31_t)0x4B4CCF4D, (q31_t)0x6746C7D7, (q31_t)0x4B9E038F, + (q31_t)0x670B4443, (q31_t)0x4BEF092D, (q31_t)0x66CF811F, + (q31_t)0x4C3FDFF3, (q31_t)0x66937E90, (q31_t)0x4C9087B1, + (q31_t)0x66573CBB, (q31_t)0x4CE10034, (q31_t)0x661ABBC5, + (q31_t)0x4D31494B, (q31_t)0x65DDFBD3, (q31_t)0x4D8162C4, + (q31_t)0x65A0FD0B, (q31_t)0x4DD14C6E, (q31_t)0x6563BF92, + (q31_t)0x4E210617, (q31_t)0x6526438E, (q31_t)0x4E708F8F, + (q31_t)0x64E88926, (q31_t)0x4EBFE8A4, (q31_t)0x64AA907F, + (q31_t)0x4F0F1126, (q31_t)0x646C59BF, (q31_t)0x4F5E08E3, + (q31_t)0x642DE50D, (q31_t)0x4FACCFAB, (q31_t)0x63EF328F, + (q31_t)0x4FFB654D, (q31_t)0x63B0426D, (q31_t)0x5049C999, + (q31_t)0x637114CC, (q31_t)0x5097FC5E, (q31_t)0x6331A9D4, + (q31_t)0x50E5FD6C, (q31_t)0x62F201AC, (q31_t)0x5133CC94, + (q31_t)0x62B21C7B, (q31_t)0x518169A4, (q31_t)0x6271FA69, + (q31_t)0x51CED46E, (q31_t)0x62319B9D, (q31_t)0x521C0CC1, + (q31_t)0x61F1003E, (q31_t)0x5269126E, (q31_t)0x61B02876, + (q31_t)0x52B5E545, (q31_t)0x616F146B, (q31_t)0x53028517, + (q31_t)0x612DC446, (q31_t)0x534EF1B5, (q31_t)0x60EC3830, + (q31_t)0x539B2AEF, (q31_t)0x60AA704F, (q31_t)0x53E73097, + (q31_t)0x60686CCE, (q31_t)0x5433027D, (q31_t)0x60262DD5, + (q31_t)0x547EA073, (q31_t)0x5FE3B38D, (q31_t)0x54CA0A4A, + (q31_t)0x5FA0FE1E, (q31_t)0x55153FD4, (q31_t)0x5F5E0DB3, + (q31_t)0x556040E2, (q31_t)0x5F1AE273, (q31_t)0x55AB0D46, + (q31_t)0x5ED77C89, (q31_t)0x55F5A4D2, (q31_t)0x5E93DC1F, + (q31_t)0x56400757, (q31_t)0x5E50015D, (q31_t)0x568A34A9, + (q31_t)0x5E0BEC6E, (q31_t)0x56D42C99, (q31_t)0x5DC79D7C, + (q31_t)0x571DEEF9, (q31_t)0x5D8314B0, (q31_t)0x57677B9D, + (q31_t)0x5D3E5236, (q31_t)0x57B0D256, (q31_t)0x5CF95638, + (q31_t)0x57F9F2F7, (q31_t)0x5CB420DF, (q31_t)0x5842DD54, + (q31_t)0x5C6EB258, (q31_t)0x588B913F, (q31_t)0x5C290ACC, + (q31_t)0x58D40E8C, (q31_t)0x5BE32A67, (q31_t)0x591C550E, + (q31_t)0x5B9D1153, (q31_t)0x59646497, (q31_t)0x5B56BFBD, + (q31_t)0x59AC3CFD, (q31_t)0x5B1035CF, (q31_t)0x59F3DE12, + (q31_t)0x5AC973B4, (q31_t)0x5A3B47AA, (q31_t)0x5A82799A, + (q31_t)0x5A82799A, (q31_t)0x5A3B47AA, (q31_t)0x5AC973B4, + (q31_t)0x59F3DE12, (q31_t)0x5B1035CF, (q31_t)0x59AC3CFD, + (q31_t)0x5B56BFBD, (q31_t)0x59646497, (q31_t)0x5B9D1153, + (q31_t)0x591C550E, (q31_t)0x5BE32A67, (q31_t)0x58D40E8C, + (q31_t)0x5C290ACC, (q31_t)0x588B913F, (q31_t)0x5C6EB258, + (q31_t)0x5842DD54, (q31_t)0x5CB420DF, (q31_t)0x57F9F2F7, + (q31_t)0x5CF95638, (q31_t)0x57B0D256, (q31_t)0x5D3E5236, + (q31_t)0x57677B9D, (q31_t)0x5D8314B0, (q31_t)0x571DEEF9, + (q31_t)0x5DC79D7C, (q31_t)0x56D42C99, (q31_t)0x5E0BEC6E, 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(q31_t)0xBADBA943, (q31_t)0x9447ED2F, (q31_t)0xBB3058C0, + (q31_t)0x9411C09D, (q31_t)0xBB8532AF, (q31_t)0x93DBD69F, + (q31_t)0xBBDA36DC, (q31_t)0x93A62F56, (q31_t)0xBC2F6513, + (q31_t)0x9370CAE4, (q31_t)0xBC84BD1E, (q31_t)0x933BA968, + (q31_t)0xBCDA3ECA, (q31_t)0x9306CB04, (q31_t)0xBD2FE9E1, + (q31_t)0x92D22FD8, (q31_t)0xBD85BE2F, (q31_t)0x929DD805, + (q31_t)0xBDDBBB7F, (q31_t)0x9269C3AC, (q31_t)0xBE31E19B, + (q31_t)0x9235F2EB, (q31_t)0xBE88304F, (q31_t)0x920265E4, + (q31_t)0xBEDEA765, (q31_t)0x91CF1CB6, (q31_t)0xBF3546A8, + (q31_t)0x919C1780, (q31_t)0xBF8C0DE2, (q31_t)0x91695663, + (q31_t)0xBFE2FCDF, (q31_t)0x9136D97D, (q31_t)0xC03A1368, + (q31_t)0x9104A0ED, (q31_t)0xC0915147, (q31_t)0x90D2ACD3, + (q31_t)0xC0E8B648, (q31_t)0x90A0FD4E, (q31_t)0xC1404233, + (q31_t)0x906F927B, (q31_t)0xC197F4D3, (q31_t)0x903E6C7A, + (q31_t)0xC1EFCDF2, (q31_t)0x900D8B69, (q31_t)0xC247CD5A, + (q31_t)0x8FDCEF66, (q31_t)0xC29FF2D4, (q31_t)0x8FAC988E, + (q31_t)0xC2F83E2A, (q31_t)0x8F7C8701, (q31_t)0xC350AF25, + (q31_t)0x8F4CBADB, (q31_t)0xC3A9458F, (q31_t)0x8F1D343A, + (q31_t)0xC4020132, (q31_t)0x8EEDF33B, (q31_t)0xC45AE1D7, + (q31_t)0x8EBEF7FB, (q31_t)0xC4B3E746, (q31_t)0x8E904298, + (q31_t)0xC50D1148, (q31_t)0x8E61D32D, (q31_t)0xC5665FA8, + (q31_t)0x8E33A9D9, (q31_t)0xC5BFD22E, (q31_t)0x8E05C6B7, + (q31_t)0xC61968A2, (q31_t)0x8DD829E4, (q31_t)0xC67322CD, + (q31_t)0x8DAAD37B, (q31_t)0xC6CD0079, (q31_t)0x8D7DC399, + (q31_t)0xC727016C, (q31_t)0x8D50FA59, (q31_t)0xC7812571, + (q31_t)0x8D2477D8, (q31_t)0xC7DB6C50, (q31_t)0x8CF83C30, + (q31_t)0xC835D5D0, (q31_t)0x8CCC477D, (q31_t)0xC89061BA, + (q31_t)0x8CA099D9, (q31_t)0xC8EB0FD6, (q31_t)0x8C753361, + (q31_t)0xC945DFEC, (q31_t)0x8C4A142F, (q31_t)0xC9A0D1C4, + (q31_t)0x8C1F3C5C, (q31_t)0xC9FBE527, (q31_t)0x8BF4AC05, + (q31_t)0xCA5719DB, (q31_t)0x8BCA6342, (q31_t)0xCAB26FA9, + (q31_t)0x8BA0622F, (q31_t)0xCB0DE658, (q31_t)0x8B76A8E4, + (q31_t)0xCB697DB0, (q31_t)0x8B4D377C, (q31_t)0xCBC53578, + (q31_t)0x8B240E10, (q31_t)0xCC210D78, (q31_t)0x8AFB2CBA, + (q31_t)0xCC7D0577, (q31_t)0x8AD29393, (q31_t)0xCCD91D3D, + (q31_t)0x8AAA42B4, (q31_t)0xCD355490, (q31_t)0x8A823A35, + (q31_t)0xCD91AB38, (q31_t)0x8A5A7A30, (q31_t)0xCDEE20FC, + (q31_t)0x8A3302BD, (q31_t)0xCE4AB5A2, (q31_t)0x8A0BD3F5, + (q31_t)0xCEA768F2, (q31_t)0x89E4EDEE, (q31_t)0xCF043AB2, + (q31_t)0x89BE50C3, (q31_t)0xCF612AAA, (q31_t)0x8997FC89, + (q31_t)0xCFBE389F, (q31_t)0x8971F15A, (q31_t)0xD01B6459, + (q31_t)0x894C2F4C, (q31_t)0xD078AD9D, (q31_t)0x8926B677, + (q31_t)0xD0D61433, (q31_t)0x890186F1, (q31_t)0xD13397E1, + (q31_t)0x88DCA0D3, (q31_t)0xD191386D, (q31_t)0x88B80431, + (q31_t)0xD1EEF59E, (q31_t)0x8893B124, (q31_t)0xD24CCF38, + (q31_t)0x886FA7C2, (q31_t)0xD2AAC504, (q31_t)0x884BE820, + (q31_t)0xD308D6C6, (q31_t)0x88287255, (q31_t)0xD3670445, + (q31_t)0x88054677, (q31_t)0xD3C54D46, (q31_t)0x87E2649B, + (q31_t)0xD423B190, (q31_t)0x87BFCCD7, (q31_t)0xD48230E8, + (q31_t)0x879D7F40, (q31_t)0xD4E0CB14, (q31_t)0x877B7BEC, + (q31_t)0xD53F7FDA, (q31_t)0x8759C2EF, (q31_t)0xD59E4EFE, + (q31_t)0x8738545E, (q31_t)0xD5FD3847, (q31_t)0x8717304E, + (q31_t)0xD65C3B7B, (q31_t)0x86F656D3, (q31_t)0xD6BB585D, + (q31_t)0x86D5C802, (q31_t)0xD71A8EB5, (q31_t)0x86B583EE, + (q31_t)0xD779DE46, (q31_t)0x86958AAB, (q31_t)0xD7D946D7, + (q31_t)0x8675DC4E, (q31_t)0xD838C82D, (q31_t)0x865678EA, + (q31_t)0xD898620C, (q31_t)0x86376092, (q31_t)0xD8F81439, + (q31_t)0x86189359, (q31_t)0xD957DE7A, (q31_t)0x85FA1152, + (q31_t)0xD9B7C093, (q31_t)0x85DBDA91, (q31_t)0xDA17BA4A, + (q31_t)0x85BDEF27, (q31_t)0xDA77CB62, (q31_t)0x85A04F28, + (q31_t)0xDAD7F3A2, (q31_t)0x8582FAA4, (q31_t)0xDB3832CD, + (q31_t)0x8565F1B0, (q31_t)0xDB9888A8, (q31_t)0x8549345C, + (q31_t)0xDBF8F4F8, (q31_t)0x852CC2BA, (q31_t)0xDC597781, + (q31_t)0x85109CDC, (q31_t)0xDCBA1008, (q31_t)0x84F4C2D3, + (q31_t)0xDD1ABE51, (q31_t)0x84D934B0, (q31_t)0xDD7B8220, + (q31_t)0x84BDF285, (q31_t)0xDDDC5B3A, (q31_t)0x84A2FC62, + (q31_t)0xDE3D4963, (q31_t)0x84885257, (q31_t)0xDE9E4C60, + (q31_t)0x846DF476, (q31_t)0xDEFF63F4, (q31_t)0x8453E2CE, + (q31_t)0xDF608FE3, (q31_t)0x843A1D70, (q31_t)0xDFC1CFF2, + (q31_t)0x8420A46B, (q31_t)0xE02323E5, (q31_t)0x840777CF, + (q31_t)0xE0848B7F, (q31_t)0x83EE97AC, (q31_t)0xE0E60684, + (q31_t)0x83D60411, (q31_t)0xE14794B9, (q31_t)0x83BDBD0D, + (q31_t)0xE1A935E1, (q31_t)0x83A5C2B0, (q31_t)0xE20AE9C1, + (q31_t)0x838E1507, (q31_t)0xE26CB01A, (q31_t)0x8376B422, + (q31_t)0xE2CE88B2, (q31_t)0x835FA00E, (q31_t)0xE330734C, + (q31_t)0x8348D8DB, (q31_t)0xE3926FAC, (q31_t)0x83325E97, + (q31_t)0xE3F47D95, (q31_t)0x831C314E, (q31_t)0xE4569CCB, + (q31_t)0x8306510F, (q31_t)0xE4B8CD10, (q31_t)0x82F0BDE8, + (q31_t)0xE51B0E2A, (q31_t)0x82DB77E5, (q31_t)0xE57D5FDA, + (q31_t)0x82C67F13, (q31_t)0xE5DFC1E4, (q31_t)0x82B1D381, + (q31_t)0xE642340D, (q31_t)0x829D753A, (q31_t)0xE6A4B616, + (q31_t)0x8289644A, (q31_t)0xE70747C3, (q31_t)0x8275A0C0, + (q31_t)0xE769E8D8, (q31_t)0x82622AA5, (q31_t)0xE7CC9917, + (q31_t)0x824F0208, (q31_t)0xE82F5844, (q31_t)0x823C26F2, + (q31_t)0xE8922621, (q31_t)0x82299971, (q31_t)0xE8F50273, + (q31_t)0x8217598F, (q31_t)0xE957ECFB, (q31_t)0x82056758, + (q31_t)0xE9BAE57C, (q31_t)0x81F3C2D7, (q31_t)0xEA1DEBBB, + (q31_t)0x81E26C16, (q31_t)0xEA80FF79, (q31_t)0x81D16320, + (q31_t)0xEAE4207A, (q31_t)0x81C0A801, (q31_t)0xEB474E80, + (q31_t)0x81B03AC1, (q31_t)0xEBAA894E, (q31_t)0x81A01B6C, + (q31_t)0xEC0DD0A8, (q31_t)0x81904A0C, (q31_t)0xEC71244F, + (q31_t)0x8180C6A9, (q31_t)0xECD48406, (q31_t)0x8171914E, + (q31_t)0xED37EF91, (q31_t)0x8162AA03, (q31_t)0xED9B66B2, + (q31_t)0x815410D3, (q31_t)0xEDFEE92B, (q31_t)0x8145C5C6, + (q31_t)0xEE6276BF, (q31_t)0x8137C8E6, (q31_t)0xEEC60F31, + (q31_t)0x812A1A39, (q31_t)0xEF29B243, (q31_t)0x811CB9CA, + (q31_t)0xEF8D5FB8, (q31_t)0x810FA7A0, (q31_t)0xEFF11752, + (q31_t)0x8102E3C3, (q31_t)0xF054D8D4, (q31_t)0x80F66E3C, + (q31_t)0xF0B8A401, (q31_t)0x80EA4712, (q31_t)0xF11C789A, + (q31_t)0x80DE6E4C, (q31_t)0xF1805662, (q31_t)0x80D2E3F1, + (q31_t)0xF1E43D1C, (q31_t)0x80C7A80A, (q31_t)0xF2482C89, + (q31_t)0x80BCBA9C, (q31_t)0xF2AC246D, (q31_t)0x80B21BAF, + (q31_t)0xF310248A, (q31_t)0x80A7CB49, (q31_t)0xF3742CA1, + (q31_t)0x809DC970, (q31_t)0xF3D83C76, (q31_t)0x8094162B, + (q31_t)0xF43C53CA, (q31_t)0x808AB180, (q31_t)0xF4A07260, + (q31_t)0x80819B74, (q31_t)0xF50497FA, (q31_t)0x8078D40D, + (q31_t)0xF568C45A, (q31_t)0x80705B50, (q31_t)0xF5CCF743, + (q31_t)0x80683143, (q31_t)0xF6313076, (q31_t)0x806055EA, + (q31_t)0xF6956FB6, (q31_t)0x8058C94C, (q31_t)0xF6F9B4C5, + (q31_t)0x80518B6B, (q31_t)0xF75DFF65, (q31_t)0x804A9C4D, + (q31_t)0xF7C24F58, (q31_t)0x8043FBF6, (q31_t)0xF826A461, + (q31_t)0x803DAA69, (q31_t)0xF88AFE41, (q31_t)0x8037A7AC, + (q31_t)0xF8EF5CBB, (q31_t)0x8031F3C1, (q31_t)0xF953BF90, + (q31_t)0x802C8EAD, (q31_t)0xF9B82683, (q31_t)0x80277872, + (q31_t)0xFA1C9156, (q31_t)0x8022B113, (q31_t)0xFA80FFCB, + (q31_t)0x801E3894, (q31_t)0xFAE571A4, (q31_t)0x801A0EF7, + (q31_t)0xFB49E6A2, (q31_t)0x80163440, (q31_t)0xFBAE5E89, + (q31_t)0x8012A86F, (q31_t)0xFC12D919, (q31_t)0x800F6B88, + (q31_t)0xFC775616, (q31_t)0x800C7D8C, (q31_t)0xFCDBD541, + (q31_t)0x8009DE7D, (q31_t)0xFD40565B, (q31_t)0x80078E5E, + (q31_t)0xFDA4D928, (q31_t)0x80058D2E, (q31_t)0xFE095D69, + (q31_t)0x8003DAF0, (q31_t)0xFE6DE2E0, (q31_t)0x800277A5, + (q31_t)0xFED2694F, (q31_t)0x8001634D, (q31_t)0xFF36F078, + (q31_t)0x80009DE9, (q31_t)0xFF9B781D, (q31_t)0x8000277A +}; + +/** +* \par +* Example code for Q31 Twiddle factors Generation:: +* \par +*
for(i = 0; i< 3N/4; i++)
+* {
+*    twiddleCoefQ31[2*i]= cos(i * 2*PI/(float)N);
+*    twiddleCoefQ31[2*i+1]= sin(i * 2*PI/(float)N);
+* } 
+* \par +* where N = 4096 and PI = 3.14159265358979 +* \par +* Cos and Sin values are interleaved fashion +* \par +* Convert Floating point to Q31(Fixed point 1.31): +* round(twiddleCoefQ31(i) * pow(2, 31)) +* +*/ +const q31_t twiddleCoef_4096_q31[6144] = +{ + (q31_t)0x7FFFFFFF, (q31_t)0x00000000, (q31_t)0x7FFFF621, + (q31_t)0x003243F5, (q31_t)0x7FFFD885, (q31_t)0x006487E3, + (q31_t)0x7FFFA72C, (q31_t)0x0096CBC1, (q31_t)0x7FFF6216, + (q31_t)0x00C90F88, (q31_t)0x7FFF0942, (q31_t)0x00FB532F, + (q31_t)0x7FFE9CB2, (q31_t)0x012D96B0, (q31_t)0x7FFE1C64, + (q31_t)0x015FDA03, (q31_t)0x7FFD885A, (q31_t)0x01921D1F, + (q31_t)0x7FFCE093, (q31_t)0x01C45FFE, (q31_t)0x7FFC250F, + (q31_t)0x01F6A296, (q31_t)0x7FFB55CE, (q31_t)0x0228E4E1, + (q31_t)0x7FFA72D1, (q31_t)0x025B26D7, (q31_t)0x7FF97C17, + (q31_t)0x028D6870, (q31_t)0x7FF871A1, (q31_t)0x02BFA9A4, + (q31_t)0x7FF7536F, (q31_t)0x02F1EA6B, (q31_t)0x7FF62182, + (q31_t)0x03242ABF, (q31_t)0x7FF4DBD8, (q31_t)0x03566A96, + (q31_t)0x7FF38273, (q31_t)0x0388A9E9, (q31_t)0x7FF21553, + (q31_t)0x03BAE8B1, (q31_t)0x7FF09477, (q31_t)0x03ED26E6, + (q31_t)0x7FEEFFE1, (q31_t)0x041F647F, (q31_t)0x7FED5790, + (q31_t)0x0451A176, (q31_t)0x7FEB9B85, (q31_t)0x0483DDC3, + (q31_t)0x7FE9CBC0, (q31_t)0x04B6195D, (q31_t)0x7FE7E840, + (q31_t)0x04E8543D, (q31_t)0x7FE5F108, (q31_t)0x051A8E5C, + (q31_t)0x7FE3E616, (q31_t)0x054CC7B0, (q31_t)0x7FE1C76B, + (q31_t)0x057F0034, (q31_t)0x7FDF9508, (q31_t)0x05B137DF, + (q31_t)0x7FDD4EEC, (q31_t)0x05E36EA9, (q31_t)0x7FDAF518, + (q31_t)0x0615A48A, (q31_t)0x7FD8878D, (q31_t)0x0647D97C, + (q31_t)0x7FD6064B, (q31_t)0x067A0D75, (q31_t)0x7FD37152, + (q31_t)0x06AC406F, (q31_t)0x7FD0C8A3, (q31_t)0x06DE7261, + (q31_t)0x7FCE0C3E, (q31_t)0x0710A344, (q31_t)0x7FCB3C23, + (q31_t)0x0742D310, (q31_t)0x7FC85853, (q31_t)0x077501BE, + (q31_t)0x7FC560CF, (q31_t)0x07A72F45, (q31_t)0x7FC25596, + (q31_t)0x07D95B9E, (q31_t)0x7FBF36A9, (q31_t)0x080B86C1, + (q31_t)0x7FBC040A, (q31_t)0x083DB0A7, (q31_t)0x7FB8BDB7, + (q31_t)0x086FD947, (q31_t)0x7FB563B2, (q31_t)0x08A2009A, + (q31_t)0x7FB1F5FC, (q31_t)0x08D42698, (q31_t)0x7FAE7494, + (q31_t)0x09064B3A, (q31_t)0x7FAADF7C, (q31_t)0x09386E77, + (q31_t)0x7FA736B4, (q31_t)0x096A9049, (q31_t)0x7FA37A3C, + (q31_t)0x099CB0A7, (q31_t)0x7F9FAA15, (q31_t)0x09CECF89, + (q31_t)0x7F9BC63F, (q31_t)0x0A00ECE8, (q31_t)0x7F97CEBC, + (q31_t)0x0A3308BC, (q31_t)0x7F93C38C, (q31_t)0x0A6522FE, + (q31_t)0x7F8FA4AF, (q31_t)0x0A973BA5, (q31_t)0x7F8B7226, + (q31_t)0x0AC952AA, (q31_t)0x7F872BF3, (q31_t)0x0AFB6805, + (q31_t)0x7F82D214, (q31_t)0x0B2D7BAE, (q31_t)0x7F7E648B, + (q31_t)0x0B5F8D9F, (q31_t)0x7F79E35A, (q31_t)0x0B919DCE, + (q31_t)0x7F754E7F, (q31_t)0x0BC3AC35, (q31_t)0x7F70A5FD, + (q31_t)0x0BF5B8CB, (q31_t)0x7F6BE9D4, (q31_t)0x0C27C389, + (q31_t)0x7F671A04, (q31_t)0x0C59CC67, (q31_t)0x7F62368F, + (q31_t)0x0C8BD35E, (q31_t)0x7F5D3F75, (q31_t)0x0CBDD865, + (q31_t)0x7F5834B6, (q31_t)0x0CEFDB75, (q31_t)0x7F531654, + (q31_t)0x0D21DC87, (q31_t)0x7F4DE450, (q31_t)0x0D53DB92, + (q31_t)0x7F489EAA, (q31_t)0x0D85D88F, (q31_t)0x7F434563, + (q31_t)0x0DB7D376, (q31_t)0x7F3DD87C, (q31_t)0x0DE9CC3F, + (q31_t)0x7F3857F5, (q31_t)0x0E1BC2E3, (q31_t)0x7F32C3D0, + (q31_t)0x0E4DB75B, (q31_t)0x7F2D1C0E, (q31_t)0x0E7FA99D, + (q31_t)0x7F2760AF, (q31_t)0x0EB199A3, (q31_t)0x7F2191B4, + (q31_t)0x0EE38765, (q31_t)0x7F1BAF1E, (q31_t)0x0F1572DC, + (q31_t)0x7F15B8EE, (q31_t)0x0F475BFE, (q31_t)0x7F0FAF24, + (q31_t)0x0F7942C6, (q31_t)0x7F0991C3, (q31_t)0x0FAB272B, + (q31_t)0x7F0360CB, (q31_t)0x0FDD0925, (q31_t)0x7EFD1C3C, + (q31_t)0x100EE8AD, (q31_t)0x7EF6C418, (q31_t)0x1040C5BB, + (q31_t)0x7EF0585F, (q31_t)0x1072A047, (q31_t)0x7EE9D913, + (q31_t)0x10A4784A, (q31_t)0x7EE34635, (q31_t)0x10D64DBC, + (q31_t)0x7EDC9FC6, (q31_t)0x11082096, (q31_t)0x7ED5E5C6, + (q31_t)0x1139F0CE, (q31_t)0x7ECF1837, (q31_t)0x116BBE5F, + (q31_t)0x7EC8371A, (q31_t)0x119D8940, (q31_t)0x7EC1426F, + (q31_t)0x11CF516A, (q31_t)0x7EBA3A39, (q31_t)0x120116D4, + (q31_t)0x7EB31E77, (q31_t)0x1232D978, 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+ (q31_t)0x8130E7C8, (q31_t)0xEEC60F31, (q31_t)0x812A1A39, + (q31_t)0xEEF7DF6A, (q31_t)0x81236039, (q31_t)0xEF29B243, + (q31_t)0x811CB9CA, (q31_t)0xEF5B87B5, (q31_t)0x811626EC, + (q31_t)0xEF8D5FB8, (q31_t)0x810FA7A0, (q31_t)0xEFBF3A44, + (q31_t)0x81093BE8, (q31_t)0xEFF11752, (q31_t)0x8102E3C3, + (q31_t)0xF022F6DA, (q31_t)0x80FC9F35, (q31_t)0xF054D8D4, + (q31_t)0x80F66E3C, (q31_t)0xF086BD39, (q31_t)0x80F050DB, + (q31_t)0xF0B8A401, (q31_t)0x80EA4712, (q31_t)0xF0EA8D23, + (q31_t)0x80E450E2, (q31_t)0xF11C789A, (q31_t)0x80DE6E4C, + (q31_t)0xF14E665C, (q31_t)0x80D89F51, (q31_t)0xF1805662, + (q31_t)0x80D2E3F1, (q31_t)0xF1B248A5, (q31_t)0x80CD3C2F, + (q31_t)0xF1E43D1C, (q31_t)0x80C7A80A, (q31_t)0xF21633C0, + (q31_t)0x80C22783, (q31_t)0xF2482C89, (q31_t)0x80BCBA9C, + (q31_t)0xF27A2770, (q31_t)0x80B76155, (q31_t)0xF2AC246D, + (q31_t)0x80B21BAF, (q31_t)0xF2DE2378, (q31_t)0x80ACE9AB, + (q31_t)0xF310248A, (q31_t)0x80A7CB49, (q31_t)0xF342279A, + (q31_t)0x80A2C08B, (q31_t)0xF3742CA1, (q31_t)0x809DC970, + (q31_t)0xF3A63398, (q31_t)0x8098E5FB, (q31_t)0xF3D83C76, + (q31_t)0x8094162B, (q31_t)0xF40A4734, (q31_t)0x808F5A02, + (q31_t)0xF43C53CA, (q31_t)0x808AB180, (q31_t)0xF46E6231, + (q31_t)0x80861CA5, (q31_t)0xF4A07260, (q31_t)0x80819B74, + (q31_t)0xF4D28451, (q31_t)0x807D2DEB, (q31_t)0xF50497FA, + (q31_t)0x8078D40D, (q31_t)0xF536AD55, (q31_t)0x80748DD9, + (q31_t)0xF568C45A, (q31_t)0x80705B50, (q31_t)0xF59ADD01, + (q31_t)0x806C3C73, (q31_t)0xF5CCF743, (q31_t)0x80683143, + (q31_t)0xF5FF1317, (q31_t)0x806439C0, (q31_t)0xF6313076, + (q31_t)0x806055EA, (q31_t)0xF6634F58, (q31_t)0x805C85C3, + (q31_t)0xF6956FB6, (q31_t)0x8058C94C, (q31_t)0xF6C79188, + (q31_t)0x80552083, (q31_t)0xF6F9B4C5, (q31_t)0x80518B6B, + (q31_t)0xF72BD967, (q31_t)0x804E0A03, (q31_t)0xF75DFF65, + (q31_t)0x804A9C4D, (q31_t)0xF79026B8, (q31_t)0x80474248, + (q31_t)0xF7C24F58, (q31_t)0x8043FBF6, (q31_t)0xF7F4793E, + (q31_t)0x8040C956, (q31_t)0xF826A461, (q31_t)0x803DAA69, + (q31_t)0xF858D0BA, (q31_t)0x803A9F31, (q31_t)0xF88AFE41, + (q31_t)0x8037A7AC, (q31_t)0xF8BD2CEF, (q31_t)0x8034C3DC, + (q31_t)0xF8EF5CBB, (q31_t)0x8031F3C1, (q31_t)0xF9218D9E, + (q31_t)0x802F375C, (q31_t)0xF953BF90, (q31_t)0x802C8EAD, + (q31_t)0xF985F28A, (q31_t)0x8029F9B4, (q31_t)0xF9B82683, + (q31_t)0x80277872, (q31_t)0xF9EA5B75, (q31_t)0x80250AE7, + (q31_t)0xFA1C9156, (q31_t)0x8022B113, (q31_t)0xFA4EC820, + (q31_t)0x80206AF8, (q31_t)0xFA80FFCB, (q31_t)0x801E3894, + (q31_t)0xFAB3384F, (q31_t)0x801C19E9, (q31_t)0xFAE571A4, + (q31_t)0x801A0EF7, (q31_t)0xFB17ABC2, (q31_t)0x801817BF, + (q31_t)0xFB49E6A2, (q31_t)0x80163440, (q31_t)0xFB7C223C, + (q31_t)0x8014647A, (q31_t)0xFBAE5E89, (q31_t)0x8012A86F, + (q31_t)0xFBE09B80, (q31_t)0x8011001E, (q31_t)0xFC12D919, + (q31_t)0x800F6B88, (q31_t)0xFC45174E, (q31_t)0x800DEAAC, + (q31_t)0xFC775616, (q31_t)0x800C7D8C, (q31_t)0xFCA99569, + (q31_t)0x800B2427, (q31_t)0xFCDBD541, (q31_t)0x8009DE7D, + (q31_t)0xFD0E1594, (q31_t)0x8008AC90, (q31_t)0xFD40565B, + (q31_t)0x80078E5E, (q31_t)0xFD72978F, (q31_t)0x800683E8, + (q31_t)0xFDA4D928, (q31_t)0x80058D2E, (q31_t)0xFDD71B1E, + (q31_t)0x8004AA31, (q31_t)0xFE095D69, (q31_t)0x8003DAF0, + (q31_t)0xFE3BA001, (q31_t)0x80031F6C, (q31_t)0xFE6DE2E0, + (q31_t)0x800277A5, (q31_t)0xFEA025FC, (q31_t)0x8001E39B, + (q31_t)0xFED2694F, (q31_t)0x8001634D, (q31_t)0xFF04ACD0, + (q31_t)0x8000F6BD, (q31_t)0xFF36F078, (q31_t)0x80009DE9, + (q31_t)0xFF69343E, (q31_t)0x800058D3, (q31_t)0xFF9B781D, + (q31_t)0x8000277A, (q31_t)0xFFCDBC0A, (q31_t)0x800009DE +}; + + + +/* +* @brief q15 Twiddle factors Table +*/ + + +/** +* \par +* Example code for q15 Twiddle factors Generation:: +* \par +*
for(i = 0; i< 3N/4; i++)
+* {
+*    twiddleCoefq15[2*i]= cos(i * 2*PI/(float)N);
+*    twiddleCoefq15[2*i+1]= sin(i * 2*PI/(float)N);
+* } 
+* \par +* where N = 16 and PI = 3.14159265358979 +* \par +* Cos and Sin values are interleaved fashion +* \par +* Convert Floating point to q15(Fixed point 1.15): +* round(twiddleCoefq15(i) * pow(2, 15)) +* +*/ +const q15_t twiddleCoef_16_q15[24] = { + (q15_t)0x7FFF, (q15_t)0x0000, + (q15_t)0x7641, (q15_t)0x30FB, + (q15_t)0x5A82, (q15_t)0x5A82, + (q15_t)0x30FB, (q15_t)0x7641, + (q15_t)0x0000, (q15_t)0x7FFF, + (q15_t)0xCF04, (q15_t)0x7641, + (q15_t)0xA57D, (q15_t)0x5A82, + (q15_t)0x89BE, (q15_t)0x30FB, + (q15_t)0x8000, (q15_t)0x0000, + (q15_t)0x89BE, (q15_t)0xCF04, + (q15_t)0xA57D, (q15_t)0xA57D, + (q15_t)0xCF04, (q15_t)0x89BE +}; + +/** +* \par +* Example code for q15 Twiddle factors Generation:: +* \par +*
for(i = 0; i< 3N/4; i++)
+* {
+*    twiddleCoefq15[2*i]= cos(i * 2*PI/(float)N);
+*    twiddleCoefq15[2*i+1]= sin(i * 2*PI/(float)N);
+* } 
+* \par +* where N = 32 and PI = 3.14159265358979 +* \par +* Cos and Sin values are interleaved fashion +* \par +* Convert Floating point to q15(Fixed point 1.15): +* round(twiddleCoefq15(i) * pow(2, 15)) +* +*/ +const q15_t twiddleCoef_32_q15[48] = { + (q15_t)0x7FFF, (q15_t)0x0000, + (q15_t)0x7D8A, (q15_t)0x18F8, + (q15_t)0x7641, (q15_t)0x30FB, + (q15_t)0x6A6D, (q15_t)0x471C, + (q15_t)0x5A82, (q15_t)0x5A82, + (q15_t)0x471C, (q15_t)0x6A6D, + (q15_t)0x30FB, (q15_t)0x7641, + (q15_t)0x18F8, (q15_t)0x7D8A, + (q15_t)0x0000, (q15_t)0x7FFF, + (q15_t)0xE707, (q15_t)0x7D8A, + (q15_t)0xCF04, (q15_t)0x7641, + (q15_t)0xB8E3, (q15_t)0x6A6D, + (q15_t)0xA57D, (q15_t)0x5A82, + (q15_t)0x9592, (q15_t)0x471C, + (q15_t)0x89BE, (q15_t)0x30FB, + (q15_t)0x8275, (q15_t)0x18F8, + (q15_t)0x8000, (q15_t)0x0000, + (q15_t)0x8275, (q15_t)0xE707, + (q15_t)0x89BE, (q15_t)0xCF04, + (q15_t)0x9592, (q15_t)0xB8E3, + (q15_t)0xA57D, (q15_t)0xA57D, + (q15_t)0xB8E3, (q15_t)0x9592, + (q15_t)0xCF04, (q15_t)0x89BE, + (q15_t)0xE707, (q15_t)0x8275 +}; + +/** +* \par +* Example code for q15 Twiddle factors Generation:: +* \par +*
for(i = 0; i< 3N/4; i++)
+* {
+*    twiddleCoefq15[2*i]= cos(i * 2*PI/(float)N);
+*    twiddleCoefq15[2*i+1]= sin(i * 2*PI/(float)N);
+* } 
+* \par +* where N = 64 and PI = 3.14159265358979 +* \par +* Cos and Sin values are interleaved fashion +* \par +* Convert Floating point to q15(Fixed point 1.15): +* round(twiddleCoefq15(i) * pow(2, 15)) +* +*/ +const q15_t twiddleCoef_64_q15[96] = { + (q15_t)0x7FFF, (q15_t)0x0000, (q15_t)0x7F62, (q15_t)0x0C8B, + (q15_t)0x7D8A, (q15_t)0x18F8, (q15_t)0x7A7D, (q15_t)0x2528, + (q15_t)0x7641, (q15_t)0x30FB, (q15_t)0x70E2, (q15_t)0x3C56, + (q15_t)0x6A6D, (q15_t)0x471C, (q15_t)0x62F2, (q15_t)0x5133, + (q15_t)0x5A82, (q15_t)0x5A82, (q15_t)0x5133, (q15_t)0x62F2, + (q15_t)0x471C, (q15_t)0x6A6D, (q15_t)0x3C56, (q15_t)0x70E2, + (q15_t)0x30FB, (q15_t)0x7641, (q15_t)0x2528, (q15_t)0x7A7D, + (q15_t)0x18F8, (q15_t)0x7D8A, (q15_t)0x0C8B, (q15_t)0x7F62, + (q15_t)0x0000, (q15_t)0x7FFF, (q15_t)0xF374, (q15_t)0x7F62, + (q15_t)0xE707, (q15_t)0x7D8A, (q15_t)0xDAD7, (q15_t)0x7A7D, + (q15_t)0xCF04, (q15_t)0x7641, (q15_t)0xC3A9, (q15_t)0x70E2, + (q15_t)0xB8E3, (q15_t)0x6A6D, (q15_t)0xAECC, (q15_t)0x62F2, + (q15_t)0xA57D, (q15_t)0x5A82, (q15_t)0x9D0D, (q15_t)0x5133, + (q15_t)0x9592, (q15_t)0x471C, (q15_t)0x8F1D, (q15_t)0x3C56, + (q15_t)0x89BE, (q15_t)0x30FB, (q15_t)0x8582, (q15_t)0x2528, + (q15_t)0x8275, (q15_t)0x18F8, (q15_t)0x809D, (q15_t)0x0C8B, + (q15_t)0x8000, (q15_t)0x0000, (q15_t)0x809D, (q15_t)0xF374, + (q15_t)0x8275, (q15_t)0xE707, (q15_t)0x8582, (q15_t)0xDAD7, + (q15_t)0x89BE, (q15_t)0xCF04, (q15_t)0x8F1D, (q15_t)0xC3A9, + (q15_t)0x9592, (q15_t)0xB8E3, (q15_t)0x9D0D, (q15_t)0xAECC, + (q15_t)0xA57D, (q15_t)0xA57D, (q15_t)0xAECC, (q15_t)0x9D0D, + (q15_t)0xB8E3, (q15_t)0x9592, (q15_t)0xC3A9, (q15_t)0x8F1D, + (q15_t)0xCF04, (q15_t)0x89BE, (q15_t)0xDAD7, (q15_t)0x8582, + (q15_t)0xE707, (q15_t)0x8275, (q15_t)0xF374, (q15_t)0x809D +}; + +/** +* \par +* Example code for q15 Twiddle factors Generation:: +* \par +*
for(i = 0; i< 3N/4; i++)
+* {
+*    twiddleCoefq15[2*i]= cos(i * 2*PI/(float)N);
+*    twiddleCoefq15[2*i+1]= sin(i * 2*PI/(float)N);
+* } 
+* \par +* where N = 128 and PI = 3.14159265358979 +* \par +* Cos and Sin values are interleaved fashion +* \par +* Convert Floating point to q15(Fixed point 1.15): +* round(twiddleCoefq15(i) * pow(2, 15)) +* +*/ +const q15_t twiddleCoef_128_q15[192] = { + (q15_t)0x7FFF, (q15_t)0x0000, (q15_t)0x7FD8, (q15_t)0x0647, + (q15_t)0x7F62, (q15_t)0x0C8B, (q15_t)0x7E9D, (q15_t)0x12C8, + (q15_t)0x7D8A, (q15_t)0x18F8, (q15_t)0x7C29, (q15_t)0x1F19, + (q15_t)0x7A7D, (q15_t)0x2528, (q15_t)0x7884, (q15_t)0x2B1F, + (q15_t)0x7641, (q15_t)0x30FB, (q15_t)0x73B5, (q15_t)0x36BA, + (q15_t)0x70E2, (q15_t)0x3C56, (q15_t)0x6DCA, (q15_t)0x41CE, + (q15_t)0x6A6D, (q15_t)0x471C, (q15_t)0x66CF, (q15_t)0x4C3F, + (q15_t)0x62F2, (q15_t)0x5133, (q15_t)0x5ED7, (q15_t)0x55F5, + (q15_t)0x5A82, (q15_t)0x5A82, (q15_t)0x55F5, (q15_t)0x5ED7, + (q15_t)0x5133, (q15_t)0x62F2, (q15_t)0x4C3F, (q15_t)0x66CF, + (q15_t)0x471C, (q15_t)0x6A6D, (q15_t)0x41CE, (q15_t)0x6DCA, + (q15_t)0x3C56, (q15_t)0x70E2, (q15_t)0x36BA, (q15_t)0x73B5, + (q15_t)0x30FB, (q15_t)0x7641, (q15_t)0x2B1F, (q15_t)0x7884, + (q15_t)0x2528, (q15_t)0x7A7D, (q15_t)0x1F19, (q15_t)0x7C29, + (q15_t)0x18F8, (q15_t)0x7D8A, (q15_t)0x12C8, (q15_t)0x7E9D, + (q15_t)0x0C8B, (q15_t)0x7F62, (q15_t)0x0647, (q15_t)0x7FD8, + (q15_t)0x0000, (q15_t)0x7FFF, (q15_t)0xF9B8, (q15_t)0x7FD8, + (q15_t)0xF374, (q15_t)0x7F62, (q15_t)0xED37, (q15_t)0x7E9D, + (q15_t)0xE707, (q15_t)0x7D8A, (q15_t)0xE0E6, (q15_t)0x7C29, + (q15_t)0xDAD7, (q15_t)0x7A7D, (q15_t)0xD4E0, (q15_t)0x7884, + (q15_t)0xCF04, (q15_t)0x7641, (q15_t)0xC945, (q15_t)0x73B5, + (q15_t)0xC3A9, (q15_t)0x70E2, (q15_t)0xBE31, (q15_t)0x6DCA, + (q15_t)0xB8E3, (q15_t)0x6A6D, (q15_t)0xB3C0, (q15_t)0x66CF, + (q15_t)0xAECC, (q15_t)0x62F2, (q15_t)0xAA0A, (q15_t)0x5ED7, + (q15_t)0xA57D, (q15_t)0x5A82, (q15_t)0xA128, (q15_t)0x55F5, + (q15_t)0x9D0D, (q15_t)0x5133, (q15_t)0x9930, (q15_t)0x4C3F, + (q15_t)0x9592, (q15_t)0x471C, (q15_t)0x9235, (q15_t)0x41CE, + (q15_t)0x8F1D, (q15_t)0x3C56, (q15_t)0x8C4A, (q15_t)0x36BA, + (q15_t)0x89BE, (q15_t)0x30FB, (q15_t)0x877B, (q15_t)0x2B1F, + (q15_t)0x8582, (q15_t)0x2528, (q15_t)0x83D6, (q15_t)0x1F19, + (q15_t)0x8275, (q15_t)0x18F8, (q15_t)0x8162, (q15_t)0x12C8, + (q15_t)0x809D, (q15_t)0x0C8B, (q15_t)0x8027, (q15_t)0x0647, + (q15_t)0x8000, (q15_t)0x0000, (q15_t)0x8027, (q15_t)0xF9B8, + (q15_t)0x809D, (q15_t)0xF374, (q15_t)0x8162, (q15_t)0xED37, + (q15_t)0x8275, (q15_t)0xE707, (q15_t)0x83D6, (q15_t)0xE0E6, + (q15_t)0x8582, (q15_t)0xDAD7, (q15_t)0x877B, (q15_t)0xD4E0, + (q15_t)0x89BE, (q15_t)0xCF04, (q15_t)0x8C4A, (q15_t)0xC945, + (q15_t)0x8F1D, (q15_t)0xC3A9, (q15_t)0x9235, (q15_t)0xBE31, + (q15_t)0x9592, (q15_t)0xB8E3, (q15_t)0x9930, (q15_t)0xB3C0, + (q15_t)0x9D0D, (q15_t)0xAECC, (q15_t)0xA128, (q15_t)0xAA0A, + (q15_t)0xA57D, (q15_t)0xA57D, (q15_t)0xAA0A, (q15_t)0xA128, + (q15_t)0xAECC, (q15_t)0x9D0D, (q15_t)0xB3C0, (q15_t)0x9930, + (q15_t)0xB8E3, (q15_t)0x9592, (q15_t)0xBE31, (q15_t)0x9235, + (q15_t)0xC3A9, (q15_t)0x8F1D, (q15_t)0xC945, (q15_t)0x8C4A, + (q15_t)0xCF04, (q15_t)0x89BE, (q15_t)0xD4E0, (q15_t)0x877B, + (q15_t)0xDAD7, (q15_t)0x8582, (q15_t)0xE0E6, (q15_t)0x83D6, + (q15_t)0xE707, (q15_t)0x8275, (q15_t)0xED37, (q15_t)0x8162, + (q15_t)0xF374, (q15_t)0x809D, (q15_t)0xF9B8, (q15_t)0x8027 +}; + +/** +* \par +* Example code for q15 Twiddle factors Generation:: +* \par +*
for(i = 0; i< 3N/4; i++)
+* {
+*    twiddleCoefq15[2*i]= cos(i * 2*PI/(float)N);
+*    twiddleCoefq15[2*i+1]= sin(i * 2*PI/(float)N);
+* } 
+* \par +* where N = 256 and PI = 3.14159265358979 +* \par +* Cos and Sin values are interleaved fashion +* \par +* Convert Floating point to q15(Fixed point 1.15): +* round(twiddleCoefq15(i) * pow(2, 15)) +* +*/ +const q15_t twiddleCoef_256_q15[384] = { + (q15_t)0x7FFF, (q15_t)0x0000, (q15_t)0x7FF6, (q15_t)0x0324, + (q15_t)0x7FD8, (q15_t)0x0647, (q15_t)0x7FA7, (q15_t)0x096A, + (q15_t)0x7F62, (q15_t)0x0C8B, (q15_t)0x7F09, (q15_t)0x0FAB, + (q15_t)0x7E9D, (q15_t)0x12C8, (q15_t)0x7E1D, (q15_t)0x15E2, + (q15_t)0x7D8A, (q15_t)0x18F8, (q15_t)0x7CE3, (q15_t)0x1C0B, + (q15_t)0x7C29, (q15_t)0x1F19, (q15_t)0x7B5D, (q15_t)0x2223, + (q15_t)0x7A7D, (q15_t)0x2528, (q15_t)0x798A, (q15_t)0x2826, + (q15_t)0x7884, (q15_t)0x2B1F, (q15_t)0x776C, (q15_t)0x2E11, + (q15_t)0x7641, (q15_t)0x30FB, (q15_t)0x7504, (q15_t)0x33DE, + (q15_t)0x73B5, (q15_t)0x36BA, (q15_t)0x7255, (q15_t)0x398C, + (q15_t)0x70E2, (q15_t)0x3C56, (q15_t)0x6F5F, (q15_t)0x3F17, + (q15_t)0x6DCA, (q15_t)0x41CE, (q15_t)0x6C24, (q15_t)0x447A, + (q15_t)0x6A6D, (q15_t)0x471C, (q15_t)0x68A6, (q15_t)0x49B4, + (q15_t)0x66CF, (q15_t)0x4C3F, (q15_t)0x64E8, (q15_t)0x4EBF, + (q15_t)0x62F2, (q15_t)0x5133, (q15_t)0x60EC, (q15_t)0x539B, + (q15_t)0x5ED7, (q15_t)0x55F5, (q15_t)0x5CB4, (q15_t)0x5842, + (q15_t)0x5A82, (q15_t)0x5A82, (q15_t)0x5842, (q15_t)0x5CB4, + (q15_t)0x55F5, (q15_t)0x5ED7, (q15_t)0x539B, (q15_t)0x60EC, + (q15_t)0x5133, (q15_t)0x62F2, (q15_t)0x4EBF, (q15_t)0x64E8, + (q15_t)0x4C3F, (q15_t)0x66CF, (q15_t)0x49B4, (q15_t)0x68A6, + (q15_t)0x471C, (q15_t)0x6A6D, (q15_t)0x447A, (q15_t)0x6C24, + (q15_t)0x41CE, (q15_t)0x6DCA, (q15_t)0x3F17, (q15_t)0x6F5F, + (q15_t)0x3C56, (q15_t)0x70E2, (q15_t)0x398C, (q15_t)0x7255, + (q15_t)0x36BA, (q15_t)0x73B5, (q15_t)0x33DE, (q15_t)0x7504, + (q15_t)0x30FB, (q15_t)0x7641, (q15_t)0x2E11, (q15_t)0x776C, + (q15_t)0x2B1F, (q15_t)0x7884, (q15_t)0x2826, (q15_t)0x798A, + (q15_t)0x2528, (q15_t)0x7A7D, (q15_t)0x2223, (q15_t)0x7B5D, + (q15_t)0x1F19, (q15_t)0x7C29, (q15_t)0x1C0B, (q15_t)0x7CE3, + (q15_t)0x18F8, (q15_t)0x7D8A, (q15_t)0x15E2, (q15_t)0x7E1D, + (q15_t)0x12C8, (q15_t)0x7E9D, (q15_t)0x0FAB, (q15_t)0x7F09, + (q15_t)0x0C8B, (q15_t)0x7F62, (q15_t)0x096A, (q15_t)0x7FA7, + (q15_t)0x0647, (q15_t)0x7FD8, (q15_t)0x0324, (q15_t)0x7FF6, + (q15_t)0x0000, (q15_t)0x7FFF, (q15_t)0xFCDB, (q15_t)0x7FF6, + (q15_t)0xF9B8, (q15_t)0x7FD8, (q15_t)0xF695, (q15_t)0x7FA7, + (q15_t)0xF374, (q15_t)0x7F62, (q15_t)0xF054, (q15_t)0x7F09, + (q15_t)0xED37, (q15_t)0x7E9D, (q15_t)0xEA1D, (q15_t)0x7E1D, + (q15_t)0xE707, (q15_t)0x7D8A, (q15_t)0xE3F4, (q15_t)0x7CE3, + (q15_t)0xE0E6, (q15_t)0x7C29, (q15_t)0xDDDC, (q15_t)0x7B5D, + (q15_t)0xDAD7, (q15_t)0x7A7D, (q15_t)0xD7D9, (q15_t)0x798A, + (q15_t)0xD4E0, (q15_t)0x7884, (q15_t)0xD1EE, (q15_t)0x776C, + (q15_t)0xCF04, (q15_t)0x7641, (q15_t)0xCC21, (q15_t)0x7504, + (q15_t)0xC945, (q15_t)0x73B5, (q15_t)0xC673, (q15_t)0x7255, + (q15_t)0xC3A9, (q15_t)0x70E2, (q15_t)0xC0E8, (q15_t)0x6F5F, + (q15_t)0xBE31, (q15_t)0x6DCA, (q15_t)0xBB85, (q15_t)0x6C24, + (q15_t)0xB8E3, (q15_t)0x6A6D, (q15_t)0xB64B, (q15_t)0x68A6, + (q15_t)0xB3C0, (q15_t)0x66CF, (q15_t)0xB140, (q15_t)0x64E8, + (q15_t)0xAECC, (q15_t)0x62F2, (q15_t)0xAC64, (q15_t)0x60EC, + (q15_t)0xAA0A, (q15_t)0x5ED7, (q15_t)0xA7BD, (q15_t)0x5CB4, + (q15_t)0xA57D, (q15_t)0x5A82, (q15_t)0xA34B, (q15_t)0x5842, + (q15_t)0xA128, (q15_t)0x55F5, (q15_t)0x9F13, (q15_t)0x539B, + (q15_t)0x9D0D, (q15_t)0x5133, (q15_t)0x9B17, (q15_t)0x4EBF, + (q15_t)0x9930, (q15_t)0x4C3F, (q15_t)0x9759, (q15_t)0x49B4, + (q15_t)0x9592, (q15_t)0x471C, (q15_t)0x93DB, (q15_t)0x447A, + (q15_t)0x9235, (q15_t)0x41CE, (q15_t)0x90A0, (q15_t)0x3F17, + (q15_t)0x8F1D, (q15_t)0x3C56, (q15_t)0x8DAA, (q15_t)0x398C, + (q15_t)0x8C4A, (q15_t)0x36BA, (q15_t)0x8AFB, (q15_t)0x33DE, + (q15_t)0x89BE, (q15_t)0x30FB, (q15_t)0x8893, (q15_t)0x2E11, + (q15_t)0x877B, (q15_t)0x2B1F, (q15_t)0x8675, (q15_t)0x2826, + (q15_t)0x8582, (q15_t)0x2528, (q15_t)0x84A2, (q15_t)0x2223, + (q15_t)0x83D6, (q15_t)0x1F19, (q15_t)0x831C, (q15_t)0x1C0B, + (q15_t)0x8275, (q15_t)0x18F8, (q15_t)0x81E2, (q15_t)0x15E2, + (q15_t)0x8162, (q15_t)0x12C8, (q15_t)0x80F6, (q15_t)0x0FAB, + (q15_t)0x809D, (q15_t)0x0C8B, (q15_t)0x8058, (q15_t)0x096A, + (q15_t)0x8027, (q15_t)0x0647, (q15_t)0x8009, (q15_t)0x0324, + (q15_t)0x8000, (q15_t)0x0000, (q15_t)0x8009, (q15_t)0xFCDB, + (q15_t)0x8027, (q15_t)0xF9B8, (q15_t)0x8058, (q15_t)0xF695, + (q15_t)0x809D, (q15_t)0xF374, (q15_t)0x80F6, (q15_t)0xF054, + (q15_t)0x8162, (q15_t)0xED37, (q15_t)0x81E2, (q15_t)0xEA1D, + (q15_t)0x8275, (q15_t)0xE707, (q15_t)0x831C, (q15_t)0xE3F4, + (q15_t)0x83D6, (q15_t)0xE0E6, (q15_t)0x84A2, (q15_t)0xDDDC, + (q15_t)0x8582, (q15_t)0xDAD7, (q15_t)0x8675, (q15_t)0xD7D9, + (q15_t)0x877B, (q15_t)0xD4E0, (q15_t)0x8893, (q15_t)0xD1EE, + (q15_t)0x89BE, (q15_t)0xCF04, (q15_t)0x8AFB, (q15_t)0xCC21, + (q15_t)0x8C4A, (q15_t)0xC945, (q15_t)0x8DAA, (q15_t)0xC673, + (q15_t)0x8F1D, (q15_t)0xC3A9, (q15_t)0x90A0, (q15_t)0xC0E8, + (q15_t)0x9235, (q15_t)0xBE31, (q15_t)0x93DB, (q15_t)0xBB85, + (q15_t)0x9592, (q15_t)0xB8E3, (q15_t)0x9759, (q15_t)0xB64B, + (q15_t)0x9930, (q15_t)0xB3C0, (q15_t)0x9B17, (q15_t)0xB140, + (q15_t)0x9D0D, (q15_t)0xAECC, (q15_t)0x9F13, (q15_t)0xAC64, + (q15_t)0xA128, (q15_t)0xAA0A, (q15_t)0xA34B, (q15_t)0xA7BD, + (q15_t)0xA57D, (q15_t)0xA57D, (q15_t)0xA7BD, (q15_t)0xA34B, + (q15_t)0xAA0A, (q15_t)0xA128, (q15_t)0xAC64, (q15_t)0x9F13, + (q15_t)0xAECC, (q15_t)0x9D0D, (q15_t)0xB140, (q15_t)0x9B17, + (q15_t)0xB3C0, (q15_t)0x9930, (q15_t)0xB64B, (q15_t)0x9759, + (q15_t)0xB8E3, (q15_t)0x9592, (q15_t)0xBB85, (q15_t)0x93DB, + (q15_t)0xBE31, (q15_t)0x9235, (q15_t)0xC0E8, (q15_t)0x90A0, + (q15_t)0xC3A9, (q15_t)0x8F1D, (q15_t)0xC673, (q15_t)0x8DAA, + (q15_t)0xC945, (q15_t)0x8C4A, (q15_t)0xCC21, (q15_t)0x8AFB, + (q15_t)0xCF04, (q15_t)0x89BE, (q15_t)0xD1EE, (q15_t)0x8893, + (q15_t)0xD4E0, (q15_t)0x877B, (q15_t)0xD7D9, (q15_t)0x8675, + (q15_t)0xDAD7, (q15_t)0x8582, (q15_t)0xDDDC, (q15_t)0x84A2, + (q15_t)0xE0E6, (q15_t)0x83D6, (q15_t)0xE3F4, (q15_t)0x831C, + (q15_t)0xE707, (q15_t)0x8275, (q15_t)0xEA1D, (q15_t)0x81E2, + (q15_t)0xED37, (q15_t)0x8162, (q15_t)0xF054, (q15_t)0x80F6, + (q15_t)0xF374, (q15_t)0x809D, (q15_t)0xF695, (q15_t)0x8058, + (q15_t)0xF9B8, (q15_t)0x8027, (q15_t)0xFCDB, (q15_t)0x8009 +}; + +/** +* \par +* Example code for q15 Twiddle factors Generation:: +* \par +*
for(i = 0; i< 3N/4; i++)
+* {
+*    twiddleCoefq15[2*i]= cos(i * 2*PI/(float)N);
+*    twiddleCoefq15[2*i+1]= sin(i * 2*PI/(float)N);
+* } 
+* \par +* where N = 512 and PI = 3.14159265358979 +* \par +* Cos and Sin values are interleaved fashion +* \par +* Convert Floating point to q15(Fixed point 1.15): +* round(twiddleCoefq15(i) * pow(2, 15)) +* +*/ +const q15_t twiddleCoef_512_q15[768] = { + (q15_t)0x7FFF, (q15_t)0x0000, (q15_t)0x7FFD, (q15_t)0x0192, + (q15_t)0x7FF6, (q15_t)0x0324, (q15_t)0x7FE9, (q15_t)0x04B6, + (q15_t)0x7FD8, (q15_t)0x0647, (q15_t)0x7FC2, (q15_t)0x07D9, + (q15_t)0x7FA7, (q15_t)0x096A, (q15_t)0x7F87, (q15_t)0x0AFB, + (q15_t)0x7F62, (q15_t)0x0C8B, (q15_t)0x7F38, (q15_t)0x0E1B, + (q15_t)0x7F09, (q15_t)0x0FAB, (q15_t)0x7ED5, (q15_t)0x1139, + (q15_t)0x7E9D, (q15_t)0x12C8, (q15_t)0x7E5F, (q15_t)0x1455, + (q15_t)0x7E1D, (q15_t)0x15E2, (q15_t)0x7DD6, (q15_t)0x176D, + (q15_t)0x7D8A, (q15_t)0x18F8, (q15_t)0x7D39, (q15_t)0x1A82, + (q15_t)0x7CE3, (q15_t)0x1C0B, (q15_t)0x7C89, (q15_t)0x1D93, + (q15_t)0x7C29, (q15_t)0x1F19, (q15_t)0x7BC5, (q15_t)0x209F, + (q15_t)0x7B5D, (q15_t)0x2223, (q15_t)0x7AEF, (q15_t)0x23A6, + (q15_t)0x7A7D, (q15_t)0x2528, (q15_t)0x7A05, (q15_t)0x26A8, + (q15_t)0x798A, (q15_t)0x2826, (q15_t)0x7909, (q15_t)0x29A3, + (q15_t)0x7884, (q15_t)0x2B1F, (q15_t)0x77FA, (q15_t)0x2C98, + (q15_t)0x776C, (q15_t)0x2E11, (q15_t)0x76D9, (q15_t)0x2F87, + (q15_t)0x7641, (q15_t)0x30FB, (q15_t)0x75A5, (q15_t)0x326E, + (q15_t)0x7504, (q15_t)0x33DE, (q15_t)0x745F, (q15_t)0x354D, + (q15_t)0x73B5, (q15_t)0x36BA, (q15_t)0x7307, (q15_t)0x3824, + (q15_t)0x7255, (q15_t)0x398C, (q15_t)0x719E, (q15_t)0x3AF2, + (q15_t)0x70E2, (q15_t)0x3C56, (q15_t)0x7023, (q15_t)0x3DB8, + (q15_t)0x6F5F, (q15_t)0x3F17, (q15_t)0x6E96, (q15_t)0x4073, + (q15_t)0x6DCA, (q15_t)0x41CE, (q15_t)0x6CF9, (q15_t)0x4325, + (q15_t)0x6C24, (q15_t)0x447A, (q15_t)0x6B4A, (q15_t)0x45CD, + (q15_t)0x6A6D, (q15_t)0x471C, (q15_t)0x698C, (q15_t)0x4869, + (q15_t)0x68A6, (q15_t)0x49B4, (q15_t)0x67BD, (q15_t)0x4AFB, + (q15_t)0x66CF, (q15_t)0x4C3F, (q15_t)0x65DD, (q15_t)0x4D81, + (q15_t)0x64E8, (q15_t)0x4EBF, (q15_t)0x63EF, (q15_t)0x4FFB, + (q15_t)0x62F2, (q15_t)0x5133, (q15_t)0x61F1, (q15_t)0x5269, + (q15_t)0x60EC, (q15_t)0x539B, (q15_t)0x5FE3, (q15_t)0x54CA, + (q15_t)0x5ED7, (q15_t)0x55F5, (q15_t)0x5DC7, (q15_t)0x571D, + (q15_t)0x5CB4, (q15_t)0x5842, (q15_t)0x5B9D, (q15_t)0x5964, + (q15_t)0x5A82, (q15_t)0x5A82, (q15_t)0x5964, (q15_t)0x5B9D, + (q15_t)0x5842, (q15_t)0x5CB4, (q15_t)0x571D, (q15_t)0x5DC7, + (q15_t)0x55F5, (q15_t)0x5ED7, (q15_t)0x54CA, (q15_t)0x5FE3, + (q15_t)0x539B, (q15_t)0x60EC, (q15_t)0x5269, (q15_t)0x61F1, + (q15_t)0x5133, (q15_t)0x62F2, (q15_t)0x4FFB, (q15_t)0x63EF, + (q15_t)0x4EBF, (q15_t)0x64E8, (q15_t)0x4D81, (q15_t)0x65DD, + (q15_t)0x4C3F, (q15_t)0x66CF, (q15_t)0x4AFB, (q15_t)0x67BD, + (q15_t)0x49B4, (q15_t)0x68A6, (q15_t)0x4869, (q15_t)0x698C, + (q15_t)0x471C, (q15_t)0x6A6D, (q15_t)0x45CD, (q15_t)0x6B4A, + (q15_t)0x447A, (q15_t)0x6C24, (q15_t)0x4325, (q15_t)0x6CF9, + (q15_t)0x41CE, (q15_t)0x6DCA, (q15_t)0x4073, (q15_t)0x6E96, + (q15_t)0x3F17, (q15_t)0x6F5F, (q15_t)0x3DB8, (q15_t)0x7023, + (q15_t)0x3C56, (q15_t)0x70E2, (q15_t)0x3AF2, (q15_t)0x719E, + (q15_t)0x398C, (q15_t)0x7255, (q15_t)0x3824, (q15_t)0x7307, + (q15_t)0x36BA, (q15_t)0x73B5, (q15_t)0x354D, (q15_t)0x745F, + (q15_t)0x33DE, (q15_t)0x7504, (q15_t)0x326E, (q15_t)0x75A5, + (q15_t)0x30FB, (q15_t)0x7641, (q15_t)0x2F87, (q15_t)0x76D9, + (q15_t)0x2E11, (q15_t)0x776C, (q15_t)0x2C98, (q15_t)0x77FA, + (q15_t)0x2B1F, (q15_t)0x7884, (q15_t)0x29A3, (q15_t)0x7909, + (q15_t)0x2826, (q15_t)0x798A, (q15_t)0x26A8, (q15_t)0x7A05, + (q15_t)0x2528, (q15_t)0x7A7D, (q15_t)0x23A6, (q15_t)0x7AEF, + (q15_t)0x2223, (q15_t)0x7B5D, (q15_t)0x209F, (q15_t)0x7BC5, + (q15_t)0x1F19, (q15_t)0x7C29, (q15_t)0x1D93, (q15_t)0x7C89, + (q15_t)0x1C0B, (q15_t)0x7CE3, (q15_t)0x1A82, (q15_t)0x7D39, + (q15_t)0x18F8, (q15_t)0x7D8A, (q15_t)0x176D, (q15_t)0x7DD6, + (q15_t)0x15E2, (q15_t)0x7E1D, (q15_t)0x1455, (q15_t)0x7E5F, + (q15_t)0x12C8, (q15_t)0x7E9D, (q15_t)0x1139, (q15_t)0x7ED5, + (q15_t)0x0FAB, (q15_t)0x7F09, (q15_t)0x0E1B, (q15_t)0x7F38, + (q15_t)0x0C8B, (q15_t)0x7F62, (q15_t)0x0AFB, (q15_t)0x7F87, + (q15_t)0x096A, (q15_t)0x7FA7, (q15_t)0x07D9, (q15_t)0x7FC2, + (q15_t)0x0647, (q15_t)0x7FD8, (q15_t)0x04B6, (q15_t)0x7FE9, + (q15_t)0x0324, (q15_t)0x7FF6, (q15_t)0x0192, (q15_t)0x7FFD, + (q15_t)0x0000, (q15_t)0x7FFF, (q15_t)0xFE6D, (q15_t)0x7FFD, + (q15_t)0xFCDB, (q15_t)0x7FF6, (q15_t)0xFB49, (q15_t)0x7FE9, + (q15_t)0xF9B8, (q15_t)0x7FD8, (q15_t)0xF826, (q15_t)0x7FC2, + (q15_t)0xF695, (q15_t)0x7FA7, (q15_t)0xF504, (q15_t)0x7F87, + (q15_t)0xF374, (q15_t)0x7F62, (q15_t)0xF1E4, (q15_t)0x7F38, + (q15_t)0xF054, (q15_t)0x7F09, (q15_t)0xEEC6, (q15_t)0x7ED5, + (q15_t)0xED37, (q15_t)0x7E9D, (q15_t)0xEBAA, (q15_t)0x7E5F, + (q15_t)0xEA1D, (q15_t)0x7E1D, (q15_t)0xE892, (q15_t)0x7DD6, + (q15_t)0xE707, (q15_t)0x7D8A, (q15_t)0xE57D, (q15_t)0x7D39, + (q15_t)0xE3F4, (q15_t)0x7CE3, (q15_t)0xE26C, (q15_t)0x7C89, + (q15_t)0xE0E6, (q15_t)0x7C29, (q15_t)0xDF60, (q15_t)0x7BC5, + (q15_t)0xDDDC, (q15_t)0x7B5D, (q15_t)0xDC59, (q15_t)0x7AEF, + (q15_t)0xDAD7, (q15_t)0x7A7D, (q15_t)0xD957, (q15_t)0x7A05, + (q15_t)0xD7D9, (q15_t)0x798A, (q15_t)0xD65C, (q15_t)0x7909, + (q15_t)0xD4E0, (q15_t)0x7884, (q15_t)0xD367, (q15_t)0x77FA, + (q15_t)0xD1EE, (q15_t)0x776C, (q15_t)0xD078, (q15_t)0x76D9, + (q15_t)0xCF04, (q15_t)0x7641, (q15_t)0xCD91, (q15_t)0x75A5, + (q15_t)0xCC21, (q15_t)0x7504, (q15_t)0xCAB2, (q15_t)0x745F, + (q15_t)0xC945, (q15_t)0x73B5, (q15_t)0xC7DB, (q15_t)0x7307, + (q15_t)0xC673, (q15_t)0x7255, (q15_t)0xC50D, (q15_t)0x719E, + (q15_t)0xC3A9, (q15_t)0x70E2, (q15_t)0xC247, (q15_t)0x7023, + (q15_t)0xC0E8, (q15_t)0x6F5F, (q15_t)0xBF8C, (q15_t)0x6E96, + (q15_t)0xBE31, (q15_t)0x6DCA, (q15_t)0xBCDA, (q15_t)0x6CF9, + (q15_t)0xBB85, (q15_t)0x6C24, (q15_t)0xBA32, (q15_t)0x6B4A, + (q15_t)0xB8E3, (q15_t)0x6A6D, (q15_t)0xB796, (q15_t)0x698C, + (q15_t)0xB64B, (q15_t)0x68A6, (q15_t)0xB504, (q15_t)0x67BD, + (q15_t)0xB3C0, (q15_t)0x66CF, (q15_t)0xB27E, (q15_t)0x65DD, + (q15_t)0xB140, (q15_t)0x64E8, (q15_t)0xB004, (q15_t)0x63EF, + (q15_t)0xAECC, (q15_t)0x62F2, (q15_t)0xAD96, (q15_t)0x61F1, + (q15_t)0xAC64, (q15_t)0x60EC, (q15_t)0xAB35, (q15_t)0x5FE3, + (q15_t)0xAA0A, (q15_t)0x5ED7, (q15_t)0xA8E2, (q15_t)0x5DC7, + (q15_t)0xA7BD, (q15_t)0x5CB4, (q15_t)0xA69B, (q15_t)0x5B9D, + (q15_t)0xA57D, (q15_t)0x5A82, (q15_t)0xA462, (q15_t)0x5964, + (q15_t)0xA34B, (q15_t)0x5842, (q15_t)0xA238, (q15_t)0x571D, + (q15_t)0xA128, (q15_t)0x55F5, (q15_t)0xA01C, (q15_t)0x54CA, + (q15_t)0x9F13, (q15_t)0x539B, (q15_t)0x9E0E, (q15_t)0x5269, + (q15_t)0x9D0D, (q15_t)0x5133, (q15_t)0x9C10, (q15_t)0x4FFB, + (q15_t)0x9B17, (q15_t)0x4EBF, (q15_t)0x9A22, (q15_t)0x4D81, + (q15_t)0x9930, (q15_t)0x4C3F, (q15_t)0x9842, (q15_t)0x4AFB, + (q15_t)0x9759, (q15_t)0x49B4, (q15_t)0x9673, (q15_t)0x4869, + (q15_t)0x9592, (q15_t)0x471C, (q15_t)0x94B5, (q15_t)0x45CD, + (q15_t)0x93DB, (q15_t)0x447A, (q15_t)0x9306, (q15_t)0x4325, + (q15_t)0x9235, (q15_t)0x41CE, (q15_t)0x9169, (q15_t)0x4073, + (q15_t)0x90A0, (q15_t)0x3F17, (q15_t)0x8FDC, (q15_t)0x3DB8, + (q15_t)0x8F1D, (q15_t)0x3C56, (q15_t)0x8E61, (q15_t)0x3AF2, + (q15_t)0x8DAA, (q15_t)0x398C, (q15_t)0x8CF8, (q15_t)0x3824, + (q15_t)0x8C4A, (q15_t)0x36BA, (q15_t)0x8BA0, (q15_t)0x354D, + (q15_t)0x8AFB, (q15_t)0x33DE, (q15_t)0x8A5A, (q15_t)0x326E, + (q15_t)0x89BE, (q15_t)0x30FB, (q15_t)0x8926, (q15_t)0x2F87, + (q15_t)0x8893, (q15_t)0x2E11, (q15_t)0x8805, (q15_t)0x2C98, + (q15_t)0x877B, (q15_t)0x2B1F, (q15_t)0x86F6, (q15_t)0x29A3, + (q15_t)0x8675, (q15_t)0x2826, (q15_t)0x85FA, (q15_t)0x26A8, + (q15_t)0x8582, (q15_t)0x2528, (q15_t)0x8510, (q15_t)0x23A6, + (q15_t)0x84A2, (q15_t)0x2223, (q15_t)0x843A, (q15_t)0x209F, + (q15_t)0x83D6, (q15_t)0x1F19, (q15_t)0x8376, (q15_t)0x1D93, + (q15_t)0x831C, (q15_t)0x1C0B, (q15_t)0x82C6, (q15_t)0x1A82, + (q15_t)0x8275, (q15_t)0x18F8, (q15_t)0x8229, (q15_t)0x176D, + (q15_t)0x81E2, (q15_t)0x15E2, (q15_t)0x81A0, (q15_t)0x1455, + (q15_t)0x8162, (q15_t)0x12C8, (q15_t)0x812A, (q15_t)0x1139, + (q15_t)0x80F6, (q15_t)0x0FAB, (q15_t)0x80C7, (q15_t)0x0E1B, + (q15_t)0x809D, (q15_t)0x0C8B, (q15_t)0x8078, (q15_t)0x0AFB, + (q15_t)0x8058, (q15_t)0x096A, (q15_t)0x803D, (q15_t)0x07D9, + (q15_t)0x8027, (q15_t)0x0647, (q15_t)0x8016, (q15_t)0x04B6, + (q15_t)0x8009, (q15_t)0x0324, (q15_t)0x8002, (q15_t)0x0192, + (q15_t)0x8000, (q15_t)0x0000, (q15_t)0x8002, (q15_t)0xFE6D, + (q15_t)0x8009, (q15_t)0xFCDB, (q15_t)0x8016, (q15_t)0xFB49, + (q15_t)0x8027, (q15_t)0xF9B8, (q15_t)0x803D, (q15_t)0xF826, + (q15_t)0x8058, (q15_t)0xF695, (q15_t)0x8078, (q15_t)0xF504, + (q15_t)0x809D, (q15_t)0xF374, (q15_t)0x80C7, (q15_t)0xF1E4, + (q15_t)0x80F6, (q15_t)0xF054, (q15_t)0x812A, (q15_t)0xEEC6, + (q15_t)0x8162, (q15_t)0xED37, (q15_t)0x81A0, (q15_t)0xEBAA, + (q15_t)0x81E2, (q15_t)0xEA1D, (q15_t)0x8229, (q15_t)0xE892, + (q15_t)0x8275, (q15_t)0xE707, (q15_t)0x82C6, (q15_t)0xE57D, + (q15_t)0x831C, (q15_t)0xE3F4, (q15_t)0x8376, (q15_t)0xE26C, + (q15_t)0x83D6, (q15_t)0xE0E6, (q15_t)0x843A, (q15_t)0xDF60, + (q15_t)0x84A2, (q15_t)0xDDDC, (q15_t)0x8510, (q15_t)0xDC59, + (q15_t)0x8582, (q15_t)0xDAD7, (q15_t)0x85FA, (q15_t)0xD957, + (q15_t)0x8675, (q15_t)0xD7D9, (q15_t)0x86F6, (q15_t)0xD65C, + (q15_t)0x877B, (q15_t)0xD4E0, (q15_t)0x8805, (q15_t)0xD367, + (q15_t)0x8893, (q15_t)0xD1EE, (q15_t)0x8926, (q15_t)0xD078, + (q15_t)0x89BE, (q15_t)0xCF04, (q15_t)0x8A5A, (q15_t)0xCD91, + (q15_t)0x8AFB, (q15_t)0xCC21, (q15_t)0x8BA0, (q15_t)0xCAB2, + (q15_t)0x8C4A, (q15_t)0xC945, (q15_t)0x8CF8, (q15_t)0xC7DB, + (q15_t)0x8DAA, (q15_t)0xC673, (q15_t)0x8E61, (q15_t)0xC50D, + (q15_t)0x8F1D, (q15_t)0xC3A9, (q15_t)0x8FDC, (q15_t)0xC247, + (q15_t)0x90A0, (q15_t)0xC0E8, (q15_t)0x9169, (q15_t)0xBF8C, + (q15_t)0x9235, (q15_t)0xBE31, (q15_t)0x9306, (q15_t)0xBCDA, + (q15_t)0x93DB, (q15_t)0xBB85, (q15_t)0x94B5, (q15_t)0xBA32, + (q15_t)0x9592, (q15_t)0xB8E3, (q15_t)0x9673, (q15_t)0xB796, + (q15_t)0x9759, (q15_t)0xB64B, (q15_t)0x9842, (q15_t)0xB504, + (q15_t)0x9930, (q15_t)0xB3C0, (q15_t)0x9A22, (q15_t)0xB27E, + (q15_t)0x9B17, (q15_t)0xB140, (q15_t)0x9C10, (q15_t)0xB004, + (q15_t)0x9D0D, (q15_t)0xAECC, (q15_t)0x9E0E, (q15_t)0xAD96, + (q15_t)0x9F13, (q15_t)0xAC64, (q15_t)0xA01C, (q15_t)0xAB35, + (q15_t)0xA128, (q15_t)0xAA0A, (q15_t)0xA238, (q15_t)0xA8E2, + (q15_t)0xA34B, (q15_t)0xA7BD, (q15_t)0xA462, (q15_t)0xA69B, + (q15_t)0xA57D, (q15_t)0xA57D, (q15_t)0xA69B, (q15_t)0xA462, + (q15_t)0xA7BD, (q15_t)0xA34B, (q15_t)0xA8E2, (q15_t)0xA238, + (q15_t)0xAA0A, (q15_t)0xA128, (q15_t)0xAB35, (q15_t)0xA01C, + (q15_t)0xAC64, (q15_t)0x9F13, (q15_t)0xAD96, (q15_t)0x9E0E, + (q15_t)0xAECC, (q15_t)0x9D0D, (q15_t)0xB004, (q15_t)0x9C10, + (q15_t)0xB140, (q15_t)0x9B17, (q15_t)0xB27E, (q15_t)0x9A22, + (q15_t)0xB3C0, (q15_t)0x9930, (q15_t)0xB504, (q15_t)0x9842, + (q15_t)0xB64B, (q15_t)0x9759, (q15_t)0xB796, (q15_t)0x9673, + (q15_t)0xB8E3, (q15_t)0x9592, (q15_t)0xBA32, (q15_t)0x94B5, + (q15_t)0xBB85, (q15_t)0x93DB, (q15_t)0xBCDA, (q15_t)0x9306, + (q15_t)0xBE31, (q15_t)0x9235, (q15_t)0xBF8C, (q15_t)0x9169, + (q15_t)0xC0E8, (q15_t)0x90A0, (q15_t)0xC247, (q15_t)0x8FDC, + (q15_t)0xC3A9, (q15_t)0x8F1D, (q15_t)0xC50D, (q15_t)0x8E61, + (q15_t)0xC673, (q15_t)0x8DAA, (q15_t)0xC7DB, (q15_t)0x8CF8, + (q15_t)0xC945, (q15_t)0x8C4A, (q15_t)0xCAB2, (q15_t)0x8BA0, + (q15_t)0xCC21, (q15_t)0x8AFB, (q15_t)0xCD91, (q15_t)0x8A5A, + (q15_t)0xCF04, (q15_t)0x89BE, (q15_t)0xD078, (q15_t)0x8926, + (q15_t)0xD1EE, (q15_t)0x8893, (q15_t)0xD367, (q15_t)0x8805, + (q15_t)0xD4E0, (q15_t)0x877B, (q15_t)0xD65C, (q15_t)0x86F6, + (q15_t)0xD7D9, (q15_t)0x8675, (q15_t)0xD957, (q15_t)0x85FA, + (q15_t)0xDAD7, (q15_t)0x8582, (q15_t)0xDC59, (q15_t)0x8510, + (q15_t)0xDDDC, (q15_t)0x84A2, (q15_t)0xDF60, (q15_t)0x843A, + (q15_t)0xE0E6, (q15_t)0x83D6, (q15_t)0xE26C, (q15_t)0x8376, + (q15_t)0xE3F4, (q15_t)0x831C, (q15_t)0xE57D, (q15_t)0x82C6, + (q15_t)0xE707, (q15_t)0x8275, (q15_t)0xE892, (q15_t)0x8229, + (q15_t)0xEA1D, (q15_t)0x81E2, (q15_t)0xEBAA, (q15_t)0x81A0, + (q15_t)0xED37, (q15_t)0x8162, (q15_t)0xEEC6, (q15_t)0x812A, + (q15_t)0xF054, (q15_t)0x80F6, (q15_t)0xF1E4, (q15_t)0x80C7, + (q15_t)0xF374, (q15_t)0x809D, (q15_t)0xF504, (q15_t)0x8078, + (q15_t)0xF695, (q15_t)0x8058, (q15_t)0xF826, (q15_t)0x803D, + (q15_t)0xF9B8, (q15_t)0x8027, (q15_t)0xFB49, (q15_t)0x8016, + (q15_t)0xFCDB, (q15_t)0x8009, (q15_t)0xFE6D, (q15_t)0x8002 +}; + +/** +* \par +* Example code for q15 Twiddle factors Generation:: +* \par +*
for(i = 0; i< 3N/4; i++)
+* {
+*    twiddleCoefq15[2*i]= cos(i * 2*PI/(float)N);
+*    twiddleCoefq15[2*i+1]= sin(i * 2*PI/(float)N);
+* } 
+* \par +* where N = 1024 and PI = 3.14159265358979 +* \par +* Cos and Sin values are interleaved fashion +* \par +* Convert Floating point to q15(Fixed point 1.15): +* round(twiddleCoefq15(i) * pow(2, 15)) +* +*/ +const q15_t twiddleCoef_1024_q15[1536] = { + (q15_t)0x7FFF, (q15_t)0x0000, (q15_t)0x7FFF, (q15_t)0x00C9, + (q15_t)0x7FFD, (q15_t)0x0192, (q15_t)0x7FFA, (q15_t)0x025B, + (q15_t)0x7FF6, (q15_t)0x0324, (q15_t)0x7FF0, (q15_t)0x03ED, + (q15_t)0x7FE9, (q15_t)0x04B6, (q15_t)0x7FE1, (q15_t)0x057F, + (q15_t)0x7FD8, (q15_t)0x0647, (q15_t)0x7FCE, (q15_t)0x0710, + (q15_t)0x7FC2, (q15_t)0x07D9, (q15_t)0x7FB5, (q15_t)0x08A2, + (q15_t)0x7FA7, (q15_t)0x096A, (q15_t)0x7F97, (q15_t)0x0A33, + (q15_t)0x7F87, (q15_t)0x0AFB, (q15_t)0x7F75, (q15_t)0x0BC3, + (q15_t)0x7F62, (q15_t)0x0C8B, (q15_t)0x7F4D, (q15_t)0x0D53, + (q15_t)0x7F38, (q15_t)0x0E1B, (q15_t)0x7F21, (q15_t)0x0EE3, + (q15_t)0x7F09, (q15_t)0x0FAB, (q15_t)0x7EF0, (q15_t)0x1072, + (q15_t)0x7ED5, (q15_t)0x1139, (q15_t)0x7EBA, (q15_t)0x1201, + (q15_t)0x7E9D, (q15_t)0x12C8, (q15_t)0x7E7F, (q15_t)0x138E, + (q15_t)0x7E5F, (q15_t)0x1455, (q15_t)0x7E3F, (q15_t)0x151B, + (q15_t)0x7E1D, (q15_t)0x15E2, (q15_t)0x7DFA, (q15_t)0x16A8, + (q15_t)0x7DD6, (q15_t)0x176D, (q15_t)0x7DB0, (q15_t)0x1833, + (q15_t)0x7D8A, (q15_t)0x18F8, (q15_t)0x7D62, (q15_t)0x19BD, + (q15_t)0x7D39, (q15_t)0x1A82, (q15_t)0x7D0F, (q15_t)0x1B47, + (q15_t)0x7CE3, (q15_t)0x1C0B, (q15_t)0x7CB7, (q15_t)0x1CCF, + (q15_t)0x7C89, (q15_t)0x1D93, (q15_t)0x7C5A, (q15_t)0x1E56, + (q15_t)0x7C29, (q15_t)0x1F19, (q15_t)0x7BF8, (q15_t)0x1FDC, + (q15_t)0x7BC5, (q15_t)0x209F, (q15_t)0x7B92, (q15_t)0x2161, + (q15_t)0x7B5D, (q15_t)0x2223, (q15_t)0x7B26, (q15_t)0x22E5, + (q15_t)0x7AEF, (q15_t)0x23A6, (q15_t)0x7AB6, (q15_t)0x2467, + (q15_t)0x7A7D, (q15_t)0x2528, (q15_t)0x7A42, (q15_t)0x25E8, + (q15_t)0x7A05, (q15_t)0x26A8, (q15_t)0x79C8, (q15_t)0x2767, + (q15_t)0x798A, (q15_t)0x2826, (q15_t)0x794A, (q15_t)0x28E5, + (q15_t)0x7909, (q15_t)0x29A3, (q15_t)0x78C7, (q15_t)0x2A61, + (q15_t)0x7884, (q15_t)0x2B1F, (q15_t)0x7840, (q15_t)0x2BDC, + (q15_t)0x77FA, (q15_t)0x2C98, (q15_t)0x77B4, (q15_t)0x2D55, + (q15_t)0x776C, (q15_t)0x2E11, (q15_t)0x7723, (q15_t)0x2ECC, + (q15_t)0x76D9, (q15_t)0x2F87, (q15_t)0x768E, (q15_t)0x3041, + (q15_t)0x7641, (q15_t)0x30FB, (q15_t)0x75F4, (q15_t)0x31B5, + (q15_t)0x75A5, (q15_t)0x326E, (q15_t)0x7555, (q15_t)0x3326, + (q15_t)0x7504, (q15_t)0x33DE, (q15_t)0x74B2, (q15_t)0x3496, + (q15_t)0x745F, (q15_t)0x354D, (q15_t)0x740B, (q15_t)0x3604, + (q15_t)0x73B5, (q15_t)0x36BA, (q15_t)0x735F, (q15_t)0x376F, + (q15_t)0x7307, (q15_t)0x3824, (q15_t)0x72AF, (q15_t)0x38D8, + (q15_t)0x7255, (q15_t)0x398C, (q15_t)0x71FA, (q15_t)0x3A40, + (q15_t)0x719E, (q15_t)0x3AF2, (q15_t)0x7141, (q15_t)0x3BA5, + (q15_t)0x70E2, (q15_t)0x3C56, (q15_t)0x7083, (q15_t)0x3D07, + (q15_t)0x7023, (q15_t)0x3DB8, (q15_t)0x6FC1, (q15_t)0x3E68, + (q15_t)0x6F5F, (q15_t)0x3F17, (q15_t)0x6EFB, (q15_t)0x3FC5, + (q15_t)0x6E96, (q15_t)0x4073, (q15_t)0x6E30, (q15_t)0x4121, + (q15_t)0x6DCA, (q15_t)0x41CE, (q15_t)0x6D62, (q15_t)0x427A, + (q15_t)0x6CF9, (q15_t)0x4325, (q15_t)0x6C8F, (q15_t)0x43D0, + (q15_t)0x6C24, (q15_t)0x447A, (q15_t)0x6BB8, (q15_t)0x4524, + (q15_t)0x6B4A, (q15_t)0x45CD, (q15_t)0x6ADC, (q15_t)0x4675, + (q15_t)0x6A6D, (q15_t)0x471C, (q15_t)0x69FD, (q15_t)0x47C3, + (q15_t)0x698C, (q15_t)0x4869, (q15_t)0x6919, (q15_t)0x490F, + (q15_t)0x68A6, (q15_t)0x49B4, (q15_t)0x6832, (q15_t)0x4A58, + (q15_t)0x67BD, (q15_t)0x4AFB, (q15_t)0x6746, (q15_t)0x4B9E, + (q15_t)0x66CF, (q15_t)0x4C3F, (q15_t)0x6657, (q15_t)0x4CE1, + (q15_t)0x65DD, (q15_t)0x4D81, (q15_t)0x6563, (q15_t)0x4E21, + (q15_t)0x64E8, (q15_t)0x4EBF, (q15_t)0x646C, (q15_t)0x4F5E, + (q15_t)0x63EF, (q15_t)0x4FFB, (q15_t)0x6371, (q15_t)0x5097, + (q15_t)0x62F2, (q15_t)0x5133, (q15_t)0x6271, (q15_t)0x51CE, + (q15_t)0x61F1, (q15_t)0x5269, (q15_t)0x616F, (q15_t)0x5302, + (q15_t)0x60EC, (q15_t)0x539B, (q15_t)0x6068, (q15_t)0x5433, + (q15_t)0x5FE3, (q15_t)0x54CA, (q15_t)0x5F5E, (q15_t)0x5560, + (q15_t)0x5ED7, (q15_t)0x55F5, (q15_t)0x5E50, (q15_t)0x568A, + (q15_t)0x5DC7, (q15_t)0x571D, (q15_t)0x5D3E, (q15_t)0x57B0, + (q15_t)0x5CB4, (q15_t)0x5842, (q15_t)0x5C29, (q15_t)0x58D4, + (q15_t)0x5B9D, (q15_t)0x5964, (q15_t)0x5B10, (q15_t)0x59F3, + (q15_t)0x5A82, (q15_t)0x5A82, (q15_t)0x59F3, (q15_t)0x5B10, + (q15_t)0x5964, (q15_t)0x5B9D, (q15_t)0x58D4, (q15_t)0x5C29, + (q15_t)0x5842, (q15_t)0x5CB4, (q15_t)0x57B0, (q15_t)0x5D3E, + (q15_t)0x571D, (q15_t)0x5DC7, (q15_t)0x568A, (q15_t)0x5E50, + (q15_t)0x55F5, (q15_t)0x5ED7, (q15_t)0x5560, (q15_t)0x5F5E, + (q15_t)0x54CA, (q15_t)0x5FE3, (q15_t)0x5433, (q15_t)0x6068, + (q15_t)0x539B, (q15_t)0x60EC, (q15_t)0x5302, (q15_t)0x616F, + (q15_t)0x5269, (q15_t)0x61F1, (q15_t)0x51CE, (q15_t)0x6271, + (q15_t)0x5133, (q15_t)0x62F2, (q15_t)0x5097, (q15_t)0x6371, + (q15_t)0x4FFB, (q15_t)0x63EF, (q15_t)0x4F5E, (q15_t)0x646C, + (q15_t)0x4EBF, (q15_t)0x64E8, (q15_t)0x4E21, (q15_t)0x6563, + (q15_t)0x4D81, (q15_t)0x65DD, (q15_t)0x4CE1, (q15_t)0x6657, + (q15_t)0x4C3F, (q15_t)0x66CF, (q15_t)0x4B9E, (q15_t)0x6746, + (q15_t)0x4AFB, (q15_t)0x67BD, (q15_t)0x4A58, (q15_t)0x6832, + (q15_t)0x49B4, (q15_t)0x68A6, (q15_t)0x490F, (q15_t)0x6919, + (q15_t)0x4869, (q15_t)0x698C, (q15_t)0x47C3, (q15_t)0x69FD, + (q15_t)0x471C, (q15_t)0x6A6D, (q15_t)0x4675, (q15_t)0x6ADC, + (q15_t)0x45CD, (q15_t)0x6B4A, (q15_t)0x4524, (q15_t)0x6BB8, + (q15_t)0x447A, (q15_t)0x6C24, (q15_t)0x43D0, (q15_t)0x6C8F, + (q15_t)0x4325, (q15_t)0x6CF9, (q15_t)0x427A, (q15_t)0x6D62, + (q15_t)0x41CE, (q15_t)0x6DCA, (q15_t)0x4121, (q15_t)0x6E30, + (q15_t)0x4073, (q15_t)0x6E96, (q15_t)0x3FC5, (q15_t)0x6EFB, + (q15_t)0x3F17, (q15_t)0x6F5F, (q15_t)0x3E68, (q15_t)0x6FC1, + (q15_t)0x3DB8, (q15_t)0x7023, (q15_t)0x3D07, (q15_t)0x7083, + (q15_t)0x3C56, (q15_t)0x70E2, (q15_t)0x3BA5, (q15_t)0x7141, + (q15_t)0x3AF2, (q15_t)0x719E, (q15_t)0x3A40, (q15_t)0x71FA, + (q15_t)0x398C, (q15_t)0x7255, (q15_t)0x38D8, (q15_t)0x72AF, + (q15_t)0x3824, (q15_t)0x7307, (q15_t)0x376F, (q15_t)0x735F, + (q15_t)0x36BA, (q15_t)0x73B5, (q15_t)0x3604, (q15_t)0x740B, + (q15_t)0x354D, (q15_t)0x745F, (q15_t)0x3496, (q15_t)0x74B2, + (q15_t)0x33DE, (q15_t)0x7504, (q15_t)0x3326, (q15_t)0x7555, + (q15_t)0x326E, (q15_t)0x75A5, (q15_t)0x31B5, (q15_t)0x75F4, + (q15_t)0x30FB, (q15_t)0x7641, (q15_t)0x3041, (q15_t)0x768E, + (q15_t)0x2F87, (q15_t)0x76D9, (q15_t)0x2ECC, (q15_t)0x7723, + (q15_t)0x2E11, (q15_t)0x776C, (q15_t)0x2D55, (q15_t)0x77B4, + (q15_t)0x2C98, (q15_t)0x77FA, (q15_t)0x2BDC, (q15_t)0x7840, + (q15_t)0x2B1F, (q15_t)0x7884, (q15_t)0x2A61, (q15_t)0x78C7, + (q15_t)0x29A3, (q15_t)0x7909, (q15_t)0x28E5, (q15_t)0x794A, + (q15_t)0x2826, (q15_t)0x798A, (q15_t)0x2767, (q15_t)0x79C8, + (q15_t)0x26A8, (q15_t)0x7A05, (q15_t)0x25E8, (q15_t)0x7A42, + (q15_t)0x2528, (q15_t)0x7A7D, (q15_t)0x2467, (q15_t)0x7AB6, + (q15_t)0x23A6, (q15_t)0x7AEF, (q15_t)0x22E5, (q15_t)0x7B26, + (q15_t)0x2223, (q15_t)0x7B5D, (q15_t)0x2161, (q15_t)0x7B92, + (q15_t)0x209F, (q15_t)0x7BC5, (q15_t)0x1FDC, (q15_t)0x7BF8, + (q15_t)0x1F19, (q15_t)0x7C29, (q15_t)0x1E56, (q15_t)0x7C5A, + (q15_t)0x1D93, (q15_t)0x7C89, (q15_t)0x1CCF, (q15_t)0x7CB7, + (q15_t)0x1C0B, (q15_t)0x7CE3, (q15_t)0x1B47, (q15_t)0x7D0F, + (q15_t)0x1A82, (q15_t)0x7D39, (q15_t)0x19BD, (q15_t)0x7D62, + (q15_t)0x18F8, (q15_t)0x7D8A, (q15_t)0x1833, (q15_t)0x7DB0, + (q15_t)0x176D, (q15_t)0x7DD6, (q15_t)0x16A8, (q15_t)0x7DFA, + (q15_t)0x15E2, (q15_t)0x7E1D, (q15_t)0x151B, (q15_t)0x7E3F, + (q15_t)0x1455, (q15_t)0x7E5F, (q15_t)0x138E, (q15_t)0x7E7F, + (q15_t)0x12C8, (q15_t)0x7E9D, (q15_t)0x1201, (q15_t)0x7EBA, + (q15_t)0x1139, (q15_t)0x7ED5, (q15_t)0x1072, (q15_t)0x7EF0, + (q15_t)0x0FAB, (q15_t)0x7F09, (q15_t)0x0EE3, (q15_t)0x7F21, + (q15_t)0x0E1B, (q15_t)0x7F38, (q15_t)0x0D53, (q15_t)0x7F4D, + (q15_t)0x0C8B, (q15_t)0x7F62, (q15_t)0x0BC3, (q15_t)0x7F75, + (q15_t)0x0AFB, (q15_t)0x7F87, (q15_t)0x0A33, (q15_t)0x7F97, + (q15_t)0x096A, (q15_t)0x7FA7, (q15_t)0x08A2, (q15_t)0x7FB5, + (q15_t)0x07D9, (q15_t)0x7FC2, (q15_t)0x0710, (q15_t)0x7FCE, + (q15_t)0x0647, (q15_t)0x7FD8, (q15_t)0x057F, (q15_t)0x7FE1, + (q15_t)0x04B6, (q15_t)0x7FE9, (q15_t)0x03ED, (q15_t)0x7FF0, + (q15_t)0x0324, (q15_t)0x7FF6, (q15_t)0x025B, (q15_t)0x7FFA, + (q15_t)0x0192, (q15_t)0x7FFD, (q15_t)0x00C9, (q15_t)0x7FFF, + (q15_t)0x0000, (q15_t)0x7FFF, (q15_t)0xFF36, (q15_t)0x7FFF, + (q15_t)0xFE6D, (q15_t)0x7FFD, (q15_t)0xFDA4, (q15_t)0x7FFA, + (q15_t)0xFCDB, (q15_t)0x7FF6, (q15_t)0xFC12, (q15_t)0x7FF0, + (q15_t)0xFB49, (q15_t)0x7FE9, (q15_t)0xFA80, (q15_t)0x7FE1, + (q15_t)0xF9B8, (q15_t)0x7FD8, (q15_t)0xF8EF, (q15_t)0x7FCE, + (q15_t)0xF826, (q15_t)0x7FC2, (q15_t)0xF75D, (q15_t)0x7FB5, + (q15_t)0xF695, (q15_t)0x7FA7, (q15_t)0xF5CC, (q15_t)0x7F97, + (q15_t)0xF504, (q15_t)0x7F87, (q15_t)0xF43C, (q15_t)0x7F75, + (q15_t)0xF374, (q15_t)0x7F62, (q15_t)0xF2AC, (q15_t)0x7F4D, + (q15_t)0xF1E4, (q15_t)0x7F38, (q15_t)0xF11C, (q15_t)0x7F21, + (q15_t)0xF054, (q15_t)0x7F09, (q15_t)0xEF8D, (q15_t)0x7EF0, + (q15_t)0xEEC6, (q15_t)0x7ED5, (q15_t)0xEDFE, (q15_t)0x7EBA, + (q15_t)0xED37, (q15_t)0x7E9D, (q15_t)0xEC71, (q15_t)0x7E7F, + (q15_t)0xEBAA, (q15_t)0x7E5F, (q15_t)0xEAE4, (q15_t)0x7E3F, + (q15_t)0xEA1D, (q15_t)0x7E1D, (q15_t)0xE957, (q15_t)0x7DFA, + (q15_t)0xE892, (q15_t)0x7DD6, (q15_t)0xE7CC, (q15_t)0x7DB0, + (q15_t)0xE707, (q15_t)0x7D8A, (q15_t)0xE642, (q15_t)0x7D62, + (q15_t)0xE57D, (q15_t)0x7D39, (q15_t)0xE4B8, (q15_t)0x7D0F, + (q15_t)0xE3F4, (q15_t)0x7CE3, (q15_t)0xE330, (q15_t)0x7CB7, + (q15_t)0xE26C, (q15_t)0x7C89, (q15_t)0xE1A9, (q15_t)0x7C5A, + (q15_t)0xE0E6, (q15_t)0x7C29, (q15_t)0xE023, (q15_t)0x7BF8, + (q15_t)0xDF60, (q15_t)0x7BC5, (q15_t)0xDE9E, (q15_t)0x7B92, + (q15_t)0xDDDC, (q15_t)0x7B5D, (q15_t)0xDD1A, (q15_t)0x7B26, + (q15_t)0xDC59, (q15_t)0x7AEF, (q15_t)0xDB98, (q15_t)0x7AB6, + (q15_t)0xDAD7, (q15_t)0x7A7D, (q15_t)0xDA17, (q15_t)0x7A42, + (q15_t)0xD957, (q15_t)0x7A05, (q15_t)0xD898, (q15_t)0x79C8, + (q15_t)0xD7D9, (q15_t)0x798A, (q15_t)0xD71A, (q15_t)0x794A, + (q15_t)0xD65C, (q15_t)0x7909, (q15_t)0xD59E, 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(q15_t)0x0710, + (q15_t)0x8027, (q15_t)0x0647, (q15_t)0x801E, (q15_t)0x057F, + (q15_t)0x8016, (q15_t)0x04B6, (q15_t)0x800F, (q15_t)0x03ED, + (q15_t)0x8009, (q15_t)0x0324, (q15_t)0x8005, (q15_t)0x025B, + (q15_t)0x8002, (q15_t)0x0192, (q15_t)0x8000, (q15_t)0x00C9, + (q15_t)0x8000, (q15_t)0x0000, (q15_t)0x8000, (q15_t)0xFF36, + (q15_t)0x8002, (q15_t)0xFE6D, (q15_t)0x8005, (q15_t)0xFDA4, + (q15_t)0x8009, (q15_t)0xFCDB, (q15_t)0x800F, (q15_t)0xFC12, + (q15_t)0x8016, (q15_t)0xFB49, (q15_t)0x801E, (q15_t)0xFA80, + (q15_t)0x8027, (q15_t)0xF9B8, (q15_t)0x8031, (q15_t)0xF8EF, + (q15_t)0x803D, (q15_t)0xF826, (q15_t)0x804A, (q15_t)0xF75D, + (q15_t)0x8058, (q15_t)0xF695, (q15_t)0x8068, (q15_t)0xF5CC, + (q15_t)0x8078, (q15_t)0xF504, (q15_t)0x808A, (q15_t)0xF43C, + (q15_t)0x809D, (q15_t)0xF374, (q15_t)0x80B2, (q15_t)0xF2AC, + (q15_t)0x80C7, (q15_t)0xF1E4, (q15_t)0x80DE, (q15_t)0xF11C, + (q15_t)0x80F6, (q15_t)0xF054, (q15_t)0x810F, (q15_t)0xEF8D, + (q15_t)0x812A, (q15_t)0xEEC6, (q15_t)0x8145, (q15_t)0xEDFE, + (q15_t)0x8162, (q15_t)0xED37, (q15_t)0x8180, (q15_t)0xEC71, + (q15_t)0x81A0, (q15_t)0xEBAA, (q15_t)0x81C0, (q15_t)0xEAE4, + (q15_t)0x81E2, (q15_t)0xEA1D, (q15_t)0x8205, (q15_t)0xE957, + (q15_t)0x8229, (q15_t)0xE892, (q15_t)0x824F, (q15_t)0xE7CC, + (q15_t)0x8275, (q15_t)0xE707, (q15_t)0x829D, (q15_t)0xE642, + (q15_t)0x82C6, (q15_t)0xE57D, (q15_t)0x82F0, (q15_t)0xE4B8, + (q15_t)0x831C, (q15_t)0xE3F4, (q15_t)0x8348, (q15_t)0xE330, + (q15_t)0x8376, (q15_t)0xE26C, (q15_t)0x83A5, (q15_t)0xE1A9, + (q15_t)0x83D6, (q15_t)0xE0E6, (q15_t)0x8407, (q15_t)0xE023, + (q15_t)0x843A, (q15_t)0xDF60, (q15_t)0x846D, (q15_t)0xDE9E, + (q15_t)0x84A2, (q15_t)0xDDDC, (q15_t)0x84D9, (q15_t)0xDD1A, + (q15_t)0x8510, (q15_t)0xDC59, (q15_t)0x8549, (q15_t)0xDB98, + (q15_t)0x8582, (q15_t)0xDAD7, (q15_t)0x85BD, (q15_t)0xDA17, + (q15_t)0x85FA, (q15_t)0xD957, (q15_t)0x8637, (q15_t)0xD898, + (q15_t)0x8675, (q15_t)0xD7D9, (q15_t)0x86B5, (q15_t)0xD71A, + (q15_t)0x86F6, (q15_t)0xD65C, (q15_t)0x8738, (q15_t)0xD59E, + (q15_t)0x877B, (q15_t)0xD4E0, (q15_t)0x87BF, (q15_t)0xD423, + (q15_t)0x8805, (q15_t)0xD367, (q15_t)0x884B, (q15_t)0xD2AA, + (q15_t)0x8893, (q15_t)0xD1EE, (q15_t)0x88DC, (q15_t)0xD133, + (q15_t)0x8926, (q15_t)0xD078, (q15_t)0x8971, (q15_t)0xCFBE, + (q15_t)0x89BE, (q15_t)0xCF04, (q15_t)0x8A0B, (q15_t)0xCE4A, + (q15_t)0x8A5A, (q15_t)0xCD91, (q15_t)0x8AAA, (q15_t)0xCCD9, + (q15_t)0x8AFB, (q15_t)0xCC21, (q15_t)0x8B4D, (q15_t)0xCB69, + (q15_t)0x8BA0, (q15_t)0xCAB2, (q15_t)0x8BF4, (q15_t)0xC9FB, + (q15_t)0x8C4A, (q15_t)0xC945, (q15_t)0x8CA0, (q15_t)0xC890, + (q15_t)0x8CF8, (q15_t)0xC7DB, (q15_t)0x8D50, (q15_t)0xC727, + (q15_t)0x8DAA, (q15_t)0xC673, (q15_t)0x8E05, (q15_t)0xC5BF, + (q15_t)0x8E61, (q15_t)0xC50D, (q15_t)0x8EBE, (q15_t)0xC45A, + (q15_t)0x8F1D, (q15_t)0xC3A9, (q15_t)0x8F7C, (q15_t)0xC2F8, + (q15_t)0x8FDC, (q15_t)0xC247, (q15_t)0x903E, (q15_t)0xC197, + (q15_t)0x90A0, (q15_t)0xC0E8, (q15_t)0x9104, (q15_t)0xC03A, + (q15_t)0x9169, (q15_t)0xBF8C, (q15_t)0x91CF, (q15_t)0xBEDE, + (q15_t)0x9235, (q15_t)0xBE31, (q15_t)0x929D, (q15_t)0xBD85, + (q15_t)0x9306, (q15_t)0xBCDA, (q15_t)0x9370, (q15_t)0xBC2F, + (q15_t)0x93DB, (q15_t)0xBB85, (q15_t)0x9447, (q15_t)0xBADB, + (q15_t)0x94B5, (q15_t)0xBA32, (q15_t)0x9523, (q15_t)0xB98A, + (q15_t)0x9592, (q15_t)0xB8E3, (q15_t)0x9602, (q15_t)0xB83C, + (q15_t)0x9673, (q15_t)0xB796, (q15_t)0x96E6, (q15_t)0xB6F0, + (q15_t)0x9759, (q15_t)0xB64B, (q15_t)0x97CD, (q15_t)0xB5A7, + (q15_t)0x9842, (q15_t)0xB504, (q15_t)0x98B9, (q15_t)0xB461, + (q15_t)0x9930, (q15_t)0xB3C0, (q15_t)0x99A8, (q15_t)0xB31E, + (q15_t)0x9A22, (q15_t)0xB27E, (q15_t)0x9A9C, (q15_t)0xB1DE, + (q15_t)0x9B17, (q15_t)0xB140, (q15_t)0x9B93, (q15_t)0xB0A1, + (q15_t)0x9C10, (q15_t)0xB004, (q15_t)0x9C8E, (q15_t)0xAF68, + (q15_t)0x9D0D, (q15_t)0xAECC, (q15_t)0x9D8E, (q15_t)0xAE31, + (q15_t)0x9E0E, (q15_t)0xAD96, (q15_t)0x9E90, (q15_t)0xACFD, + (q15_t)0x9F13, (q15_t)0xAC64, (q15_t)0x9F97, (q15_t)0xABCC, + (q15_t)0xA01C, (q15_t)0xAB35, (q15_t)0xA0A1, (q15_t)0xAA9F, + (q15_t)0xA128, (q15_t)0xAA0A, (q15_t)0xA1AF, (q15_t)0xA975, + (q15_t)0xA238, (q15_t)0xA8E2, (q15_t)0xA2C1, (q15_t)0xA84F, + (q15_t)0xA34B, (q15_t)0xA7BD, (q15_t)0xA3D6, (q15_t)0xA72B, + (q15_t)0xA462, (q15_t)0xA69B, (q15_t)0xA4EF, (q15_t)0xA60C, + (q15_t)0xA57D, (q15_t)0xA57D, (q15_t)0xA60C, (q15_t)0xA4EF, + (q15_t)0xA69B, (q15_t)0xA462, (q15_t)0xA72B, (q15_t)0xA3D6, + (q15_t)0xA7BD, (q15_t)0xA34B, (q15_t)0xA84F, (q15_t)0xA2C1, + (q15_t)0xA8E2, (q15_t)0xA238, (q15_t)0xA975, (q15_t)0xA1AF, + (q15_t)0xAA0A, (q15_t)0xA128, (q15_t)0xAA9F, (q15_t)0xA0A1, + (q15_t)0xAB35, (q15_t)0xA01C, (q15_t)0xABCC, (q15_t)0x9F97, + (q15_t)0xAC64, (q15_t)0x9F13, (q15_t)0xACFD, (q15_t)0x9E90, + (q15_t)0xAD96, (q15_t)0x9E0E, (q15_t)0xAE31, (q15_t)0x9D8E, + (q15_t)0xAECC, (q15_t)0x9D0D, (q15_t)0xAF68, (q15_t)0x9C8E, + (q15_t)0xB004, (q15_t)0x9C10, (q15_t)0xB0A1, (q15_t)0x9B93, + (q15_t)0xB140, (q15_t)0x9B17, (q15_t)0xB1DE, (q15_t)0x9A9C, + (q15_t)0xB27E, (q15_t)0x9A22, (q15_t)0xB31E, (q15_t)0x99A8, + (q15_t)0xB3C0, (q15_t)0x9930, (q15_t)0xB461, (q15_t)0x98B9, + (q15_t)0xB504, (q15_t)0x9842, (q15_t)0xB5A7, (q15_t)0x97CD, + (q15_t)0xB64B, (q15_t)0x9759, (q15_t)0xB6F0, (q15_t)0x96E6, + (q15_t)0xB796, (q15_t)0x9673, (q15_t)0xB83C, (q15_t)0x9602, + (q15_t)0xB8E3, (q15_t)0x9592, (q15_t)0xB98A, (q15_t)0x9523, + (q15_t)0xBA32, (q15_t)0x94B5, (q15_t)0xBADB, (q15_t)0x9447, + (q15_t)0xBB85, (q15_t)0x93DB, (q15_t)0xBC2F, (q15_t)0x9370, + (q15_t)0xBCDA, (q15_t)0x9306, (q15_t)0xBD85, (q15_t)0x929D, + (q15_t)0xBE31, (q15_t)0x9235, (q15_t)0xBEDE, (q15_t)0x91CF, + (q15_t)0xBF8C, (q15_t)0x9169, (q15_t)0xC03A, (q15_t)0x9104, + (q15_t)0xC0E8, (q15_t)0x90A0, (q15_t)0xC197, (q15_t)0x903E, + (q15_t)0xC247, (q15_t)0x8FDC, (q15_t)0xC2F8, (q15_t)0x8F7C, + (q15_t)0xC3A9, (q15_t)0x8F1D, (q15_t)0xC45A, (q15_t)0x8EBE, + (q15_t)0xC50D, (q15_t)0x8E61, (q15_t)0xC5BF, (q15_t)0x8E05, + (q15_t)0xC673, (q15_t)0x8DAA, (q15_t)0xC727, (q15_t)0x8D50, + (q15_t)0xC7DB, (q15_t)0x8CF8, (q15_t)0xC890, (q15_t)0x8CA0, + (q15_t)0xC945, (q15_t)0x8C4A, (q15_t)0xC9FB, (q15_t)0x8BF4, + (q15_t)0xCAB2, (q15_t)0x8BA0, (q15_t)0xCB69, (q15_t)0x8B4D, + (q15_t)0xCC21, (q15_t)0x8AFB, (q15_t)0xCCD9, (q15_t)0x8AAA, + (q15_t)0xCD91, (q15_t)0x8A5A, (q15_t)0xCE4A, (q15_t)0x8A0B, + (q15_t)0xCF04, (q15_t)0x89BE, (q15_t)0xCFBE, (q15_t)0x8971, + (q15_t)0xD078, (q15_t)0x8926, (q15_t)0xD133, (q15_t)0x88DC, + (q15_t)0xD1EE, (q15_t)0x8893, (q15_t)0xD2AA, (q15_t)0x884B, + (q15_t)0xD367, (q15_t)0x8805, (q15_t)0xD423, (q15_t)0x87BF, + (q15_t)0xD4E0, (q15_t)0x877B, (q15_t)0xD59E, (q15_t)0x8738, + (q15_t)0xD65C, (q15_t)0x86F6, (q15_t)0xD71A, (q15_t)0x86B5, + (q15_t)0xD7D9, (q15_t)0x8675, (q15_t)0xD898, (q15_t)0x8637, + (q15_t)0xD957, (q15_t)0x85FA, (q15_t)0xDA17, (q15_t)0x85BD, + (q15_t)0xDAD7, (q15_t)0x8582, (q15_t)0xDB98, (q15_t)0x8549, + (q15_t)0xDC59, (q15_t)0x8510, (q15_t)0xDD1A, (q15_t)0x84D9, + (q15_t)0xDDDC, (q15_t)0x84A2, (q15_t)0xDE9E, (q15_t)0x846D, + (q15_t)0xDF60, (q15_t)0x843A, (q15_t)0xE023, (q15_t)0x8407, + (q15_t)0xE0E6, (q15_t)0x83D6, (q15_t)0xE1A9, (q15_t)0x83A5, + (q15_t)0xE26C, (q15_t)0x8376, (q15_t)0xE330, (q15_t)0x8348, + (q15_t)0xE3F4, (q15_t)0x831C, (q15_t)0xE4B8, (q15_t)0x82F0, + (q15_t)0xE57D, (q15_t)0x82C6, (q15_t)0xE642, (q15_t)0x829D, + (q15_t)0xE707, (q15_t)0x8275, (q15_t)0xE7CC, (q15_t)0x824F, + (q15_t)0xE892, (q15_t)0x8229, (q15_t)0xE957, (q15_t)0x8205, + (q15_t)0xEA1D, (q15_t)0x81E2, (q15_t)0xEAE4, (q15_t)0x81C0, + (q15_t)0xEBAA, (q15_t)0x81A0, (q15_t)0xEC71, (q15_t)0x8180, + (q15_t)0xED37, (q15_t)0x8162, (q15_t)0xEDFE, (q15_t)0x8145, + (q15_t)0xEEC6, (q15_t)0x812A, (q15_t)0xEF8D, (q15_t)0x810F, + (q15_t)0xF054, (q15_t)0x80F6, (q15_t)0xF11C, (q15_t)0x80DE, + (q15_t)0xF1E4, (q15_t)0x80C7, (q15_t)0xF2AC, (q15_t)0x80B2, + (q15_t)0xF374, (q15_t)0x809D, (q15_t)0xF43C, (q15_t)0x808A, + (q15_t)0xF504, (q15_t)0x8078, (q15_t)0xF5CC, (q15_t)0x8068, + (q15_t)0xF695, (q15_t)0x8058, (q15_t)0xF75D, (q15_t)0x804A, + (q15_t)0xF826, (q15_t)0x803D, (q15_t)0xF8EF, (q15_t)0x8031, + (q15_t)0xF9B8, (q15_t)0x8027, (q15_t)0xFA80, (q15_t)0x801E, + (q15_t)0xFB49, (q15_t)0x8016, (q15_t)0xFC12, (q15_t)0x800F, + (q15_t)0xFCDB, (q15_t)0x8009, (q15_t)0xFDA4, (q15_t)0x8005, + (q15_t)0xFE6D, (q15_t)0x8002, (q15_t)0xFF36, (q15_t)0x8000 +}; + +/** +* \par +* Example code for q15 Twiddle factors Generation:: +* \par +*
for(i = 0; i< 3N/4; i++)
+* {
+*    twiddleCoefq15[2*i]= cos(i * 2*PI/(float)N);
+*    twiddleCoefq15[2*i+1]= sin(i * 2*PI/(float)N);
+* } 
+* \par +* where N = 2048 and PI = 3.14159265358979 +* \par +* Cos and Sin values are interleaved fashion +* \par +* Convert Floating point to q15(Fixed point 1.15): +* round(twiddleCoefq15(i) * pow(2, 15)) +* +*/ +const q15_t twiddleCoef_2048_q15[3072] = { + (q15_t)0x7FFF, (q15_t)0x0000, (q15_t)0x7FFF, (q15_t)0x0064, + (q15_t)0x7FFF, (q15_t)0x00C9, (q15_t)0x7FFE, (q15_t)0x012D, + (q15_t)0x7FFD, (q15_t)0x0192, (q15_t)0x7FFC, (q15_t)0x01F6, + (q15_t)0x7FFA, (q15_t)0x025B, (q15_t)0x7FF8, (q15_t)0x02BF, + (q15_t)0x7FF6, (q15_t)0x0324, (q15_t)0x7FF3, (q15_t)0x0388, + (q15_t)0x7FF0, (q15_t)0x03ED, (q15_t)0x7FED, (q15_t)0x0451, + (q15_t)0x7FE9, (q15_t)0x04B6, (q15_t)0x7FE5, (q15_t)0x051A, + (q15_t)0x7FE1, (q15_t)0x057F, (q15_t)0x7FDD, (q15_t)0x05E3, + (q15_t)0x7FD8, (q15_t)0x0647, (q15_t)0x7FD3, (q15_t)0x06AC, + (q15_t)0x7FCE, (q15_t)0x0710, (q15_t)0x7FC8, (q15_t)0x0775, + (q15_t)0x7FC2, (q15_t)0x07D9, (q15_t)0x7FBC, (q15_t)0x083D, + (q15_t)0x7FB5, (q15_t)0x08A2, (q15_t)0x7FAE, (q15_t)0x0906, + (q15_t)0x7FA7, (q15_t)0x096A, (q15_t)0x7F9F, (q15_t)0x09CE, + (q15_t)0x7F97, (q15_t)0x0A33, (q15_t)0x7F8F, (q15_t)0x0A97, + (q15_t)0x7F87, (q15_t)0x0AFB, (q15_t)0x7F7E, (q15_t)0x0B5F, + (q15_t)0x7F75, (q15_t)0x0BC3, (q15_t)0x7F6B, (q15_t)0x0C27, + (q15_t)0x7F62, (q15_t)0x0C8B, (q15_t)0x7F58, (q15_t)0x0CEF, + (q15_t)0x7F4D, (q15_t)0x0D53, (q15_t)0x7F43, (q15_t)0x0DB7, + (q15_t)0x7F38, (q15_t)0x0E1B, (q15_t)0x7F2D, (q15_t)0x0E7F, + (q15_t)0x7F21, (q15_t)0x0EE3, (q15_t)0x7F15, (q15_t)0x0F47, + (q15_t)0x7F09, (q15_t)0x0FAB, (q15_t)0x7EFD, (q15_t)0x100E, + (q15_t)0x7EF0, (q15_t)0x1072, (q15_t)0x7EE3, (q15_t)0x10D6, + (q15_t)0x7ED5, (q15_t)0x1139, (q15_t)0x7EC8, (q15_t)0x119D, + (q15_t)0x7EBA, (q15_t)0x1201, (q15_t)0x7EAB, (q15_t)0x1264, + (q15_t)0x7E9D, (q15_t)0x12C8, (q15_t)0x7E8E, (q15_t)0x132B, + (q15_t)0x7E7F, (q15_t)0x138E, (q15_t)0x7E6F, (q15_t)0x13F2, + (q15_t)0x7E5F, (q15_t)0x1455, (q15_t)0x7E4F, (q15_t)0x14B8, + (q15_t)0x7E3F, (q15_t)0x151B, (q15_t)0x7E2E, (q15_t)0x157F, + (q15_t)0x7E1D, (q15_t)0x15E2, (q15_t)0x7E0C, (q15_t)0x1645, + (q15_t)0x7DFA, (q15_t)0x16A8, (q15_t)0x7DE8, (q15_t)0x170A, + (q15_t)0x7DD6, (q15_t)0x176D, (q15_t)0x7DC3, (q15_t)0x17D0, + (q15_t)0x7DB0, (q15_t)0x1833, (q15_t)0x7D9D, (q15_t)0x1896, + (q15_t)0x7D8A, (q15_t)0x18F8, (q15_t)0x7D76, (q15_t)0x195B, + (q15_t)0x7D62, (q15_t)0x19BD, (q15_t)0x7D4E, (q15_t)0x1A20, + (q15_t)0x7D39, (q15_t)0x1A82, (q15_t)0x7D24, (q15_t)0x1AE4, + (q15_t)0x7D0F, (q15_t)0x1B47, (q15_t)0x7CF9, (q15_t)0x1BA9, + (q15_t)0x7CE3, (q15_t)0x1C0B, (q15_t)0x7CCD, (q15_t)0x1C6D, + (q15_t)0x7CB7, (q15_t)0x1CCF, (q15_t)0x7CA0, (q15_t)0x1D31, + (q15_t)0x7C89, (q15_t)0x1D93, (q15_t)0x7C71, (q15_t)0x1DF5, + (q15_t)0x7C5A, (q15_t)0x1E56, (q15_t)0x7C42, (q15_t)0x1EB8, + (q15_t)0x7C29, (q15_t)0x1F19, (q15_t)0x7C11, (q15_t)0x1F7B, + (q15_t)0x7BF8, (q15_t)0x1FDC, (q15_t)0x7BDF, (q15_t)0x203E, + (q15_t)0x7BC5, (q15_t)0x209F, (q15_t)0x7BAC, (q15_t)0x2100, + (q15_t)0x7B92, (q15_t)0x2161, (q15_t)0x7B77, (q15_t)0x21C2, + (q15_t)0x7B5D, (q15_t)0x2223, (q15_t)0x7B42, (q15_t)0x2284, + (q15_t)0x7B26, (q15_t)0x22E5, (q15_t)0x7B0B, (q15_t)0x2345, + (q15_t)0x7AEF, (q15_t)0x23A6, (q15_t)0x7AD3, (q15_t)0x2407, + (q15_t)0x7AB6, (q15_t)0x2467, (q15_t)0x7A9A, (q15_t)0x24C7, + (q15_t)0x7A7D, (q15_t)0x2528, (q15_t)0x7A5F, (q15_t)0x2588, + (q15_t)0x7A42, (q15_t)0x25E8, (q15_t)0x7A24, (q15_t)0x2648, + (q15_t)0x7A05, (q15_t)0x26A8, (q15_t)0x79E7, (q15_t)0x2707, + (q15_t)0x79C8, (q15_t)0x2767, (q15_t)0x79A9, (q15_t)0x27C7, + (q15_t)0x798A, (q15_t)0x2826, (q15_t)0x796A, (q15_t)0x2886, + (q15_t)0x794A, (q15_t)0x28E5, (q15_t)0x792A, (q15_t)0x2944, + (q15_t)0x7909, (q15_t)0x29A3, (q15_t)0x78E8, (q15_t)0x2A02, + (q15_t)0x78C7, (q15_t)0x2A61, (q15_t)0x78A6, (q15_t)0x2AC0, + (q15_t)0x7884, (q15_t)0x2B1F, (q15_t)0x7862, (q15_t)0x2B7D, + (q15_t)0x7840, (q15_t)0x2BDC, (q15_t)0x781D, (q15_t)0x2C3A, + (q15_t)0x77FA, (q15_t)0x2C98, (q15_t)0x77D7, (q15_t)0x2CF7, + (q15_t)0x77B4, (q15_t)0x2D55, (q15_t)0x7790, (q15_t)0x2DB3, + (q15_t)0x776C, (q15_t)0x2E11, (q15_t)0x7747, (q15_t)0x2E6E, + (q15_t)0x7723, (q15_t)0x2ECC, (q15_t)0x76FE, (q15_t)0x2F29, + (q15_t)0x76D9, (q15_t)0x2F87, (q15_t)0x76B3, (q15_t)0x2FE4, + (q15_t)0x768E, (q15_t)0x3041, (q15_t)0x7668, (q15_t)0x309E, + (q15_t)0x7641, (q15_t)0x30FB, (q15_t)0x761B, (q15_t)0x3158, + (q15_t)0x75F4, (q15_t)0x31B5, (q15_t)0x75CC, (q15_t)0x3211, + (q15_t)0x75A5, (q15_t)0x326E, (q15_t)0x757D, (q15_t)0x32CA, + (q15_t)0x7555, (q15_t)0x3326, (q15_t)0x752D, (q15_t)0x3382, + (q15_t)0x7504, (q15_t)0x33DE, (q15_t)0x74DB, (q15_t)0x343A, + (q15_t)0x74B2, (q15_t)0x3496, (q15_t)0x7489, (q15_t)0x34F2, + (q15_t)0x745F, (q15_t)0x354D, (q15_t)0x7435, (q15_t)0x35A8, + (q15_t)0x740B, (q15_t)0x3604, (q15_t)0x73E0, (q15_t)0x365F, + (q15_t)0x73B5, (q15_t)0x36BA, (q15_t)0x738A, (q15_t)0x3714, + (q15_t)0x735F, (q15_t)0x376F, (q15_t)0x7333, (q15_t)0x37CA, + (q15_t)0x7307, (q15_t)0x3824, (q15_t)0x72DB, (q15_t)0x387E, + (q15_t)0x72AF, (q15_t)0x38D8, (q15_t)0x7282, (q15_t)0x3932, + (q15_t)0x7255, (q15_t)0x398C, (q15_t)0x7227, (q15_t)0x39E6, + (q15_t)0x71FA, (q15_t)0x3A40, (q15_t)0x71CC, (q15_t)0x3A99, + (q15_t)0x719E, (q15_t)0x3AF2, (q15_t)0x716F, (q15_t)0x3B4C, + (q15_t)0x7141, (q15_t)0x3BA5, (q15_t)0x7112, (q15_t)0x3BFD, + (q15_t)0x70E2, (q15_t)0x3C56, (q15_t)0x70B3, (q15_t)0x3CAF, + (q15_t)0x7083, (q15_t)0x3D07, (q15_t)0x7053, (q15_t)0x3D60, + (q15_t)0x7023, (q15_t)0x3DB8, (q15_t)0x6FF2, (q15_t)0x3E10, + (q15_t)0x6FC1, (q15_t)0x3E68, (q15_t)0x6F90, (q15_t)0x3EBF, + (q15_t)0x6F5F, (q15_t)0x3F17, (q15_t)0x6F2D, (q15_t)0x3F6E, + (q15_t)0x6EFB, (q15_t)0x3FC5, (q15_t)0x6EC9, (q15_t)0x401D, + (q15_t)0x6E96, (q15_t)0x4073, (q15_t)0x6E63, (q15_t)0x40CA, + (q15_t)0x6E30, (q15_t)0x4121, (q15_t)0x6DFD, (q15_t)0x4177, + (q15_t)0x6DCA, (q15_t)0x41CE, (q15_t)0x6D96, (q15_t)0x4224, + (q15_t)0x6D62, (q15_t)0x427A, (q15_t)0x6D2D, (q15_t)0x42D0, + (q15_t)0x6CF9, (q15_t)0x4325, (q15_t)0x6CC4, (q15_t)0x437B, + (q15_t)0x6C8F, (q15_t)0x43D0, (q15_t)0x6C59, (q15_t)0x4425, + (q15_t)0x6C24, (q15_t)0x447A, (q15_t)0x6BEE, (q15_t)0x44CF, + (q15_t)0x6BB8, (q15_t)0x4524, (q15_t)0x6B81, (q15_t)0x4578, + (q15_t)0x6B4A, (q15_t)0x45CD, (q15_t)0x6B13, (q15_t)0x4621, + (q15_t)0x6ADC, (q15_t)0x4675, (q15_t)0x6AA5, (q15_t)0x46C9, + (q15_t)0x6A6D, (q15_t)0x471C, (q15_t)0x6A35, (q15_t)0x4770, + (q15_t)0x69FD, (q15_t)0x47C3, (q15_t)0x69C4, (q15_t)0x4816, + (q15_t)0x698C, (q15_t)0x4869, (q15_t)0x6953, (q15_t)0x48BC, + (q15_t)0x6919, (q15_t)0x490F, (q15_t)0x68E0, (q15_t)0x4961, + (q15_t)0x68A6, (q15_t)0x49B4, (q15_t)0x686C, (q15_t)0x4A06, + (q15_t)0x6832, (q15_t)0x4A58, (q15_t)0x67F7, (q15_t)0x4AA9, + (q15_t)0x67BD, (q15_t)0x4AFB, (q15_t)0x6782, (q15_t)0x4B4C, + (q15_t)0x6746, (q15_t)0x4B9E, (q15_t)0x670B, (q15_t)0x4BEF, + (q15_t)0x66CF, (q15_t)0x4C3F, (q15_t)0x6693, (q15_t)0x4C90, + (q15_t)0x6657, (q15_t)0x4CE1, (q15_t)0x661A, (q15_t)0x4D31, + (q15_t)0x65DD, (q15_t)0x4D81, (q15_t)0x65A0, (q15_t)0x4DD1, + (q15_t)0x6563, (q15_t)0x4E21, (q15_t)0x6526, (q15_t)0x4E70, + (q15_t)0x64E8, (q15_t)0x4EBF, (q15_t)0x64AA, (q15_t)0x4F0F, + (q15_t)0x646C, (q15_t)0x4F5E, (q15_t)0x642D, (q15_t)0x4FAC, + (q15_t)0x63EF, (q15_t)0x4FFB, (q15_t)0x63B0, (q15_t)0x5049, + (q15_t)0x6371, (q15_t)0x5097, (q15_t)0x6331, (q15_t)0x50E5, + (q15_t)0x62F2, (q15_t)0x5133, (q15_t)0x62B2, (q15_t)0x5181, + (q15_t)0x6271, (q15_t)0x51CE, (q15_t)0x6231, (q15_t)0x521C, + (q15_t)0x61F1, (q15_t)0x5269, (q15_t)0x61B0, (q15_t)0x52B5, + (q15_t)0x616F, (q15_t)0x5302, (q15_t)0x612D, (q15_t)0x534E, + (q15_t)0x60EC, (q15_t)0x539B, (q15_t)0x60AA, (q15_t)0x53E7, + (q15_t)0x6068, (q15_t)0x5433, (q15_t)0x6026, (q15_t)0x547E, + (q15_t)0x5FE3, (q15_t)0x54CA, (q15_t)0x5FA0, (q15_t)0x5515, + (q15_t)0x5F5E, (q15_t)0x5560, (q15_t)0x5F1A, (q15_t)0x55AB, + (q15_t)0x5ED7, (q15_t)0x55F5, (q15_t)0x5E93, (q15_t)0x5640, + (q15_t)0x5E50, (q15_t)0x568A, (q15_t)0x5E0B, (q15_t)0x56D4, + (q15_t)0x5DC7, (q15_t)0x571D, (q15_t)0x5D83, (q15_t)0x5767, + (q15_t)0x5D3E, (q15_t)0x57B0, (q15_t)0x5CF9, (q15_t)0x57F9, + (q15_t)0x5CB4, (q15_t)0x5842, (q15_t)0x5C6E, (q15_t)0x588B, + (q15_t)0x5C29, (q15_t)0x58D4, (q15_t)0x5BE3, (q15_t)0x591C, + (q15_t)0x5B9D, (q15_t)0x5964, (q15_t)0x5B56, (q15_t)0x59AC, + (q15_t)0x5B10, (q15_t)0x59F3, (q15_t)0x5AC9, (q15_t)0x5A3B, + (q15_t)0x5A82, (q15_t)0x5A82, (q15_t)0x5A3B, (q15_t)0x5AC9, + (q15_t)0x59F3, (q15_t)0x5B10, (q15_t)0x59AC, (q15_t)0x5B56, + (q15_t)0x5964, (q15_t)0x5B9D, (q15_t)0x591C, (q15_t)0x5BE3, + (q15_t)0x58D4, (q15_t)0x5C29, (q15_t)0x588B, (q15_t)0x5C6E, + (q15_t)0x5842, (q15_t)0x5CB4, (q15_t)0x57F9, (q15_t)0x5CF9, + (q15_t)0x57B0, (q15_t)0x5D3E, (q15_t)0x5767, (q15_t)0x5D83, + (q15_t)0x571D, (q15_t)0x5DC7, (q15_t)0x56D4, (q15_t)0x5E0B, + (q15_t)0x568A, (q15_t)0x5E50, (q15_t)0x5640, (q15_t)0x5E93, + (q15_t)0x55F5, (q15_t)0x5ED7, (q15_t)0x55AB, (q15_t)0x5F1A, + (q15_t)0x5560, (q15_t)0x5F5E, (q15_t)0x5515, (q15_t)0x5FA0, + (q15_t)0x54CA, (q15_t)0x5FE3, (q15_t)0x547E, (q15_t)0x6026, + (q15_t)0x5433, (q15_t)0x6068, (q15_t)0x53E7, (q15_t)0x60AA, + (q15_t)0x539B, (q15_t)0x60EC, (q15_t)0x534E, (q15_t)0x612D, + (q15_t)0x5302, (q15_t)0x616F, (q15_t)0x52B5, (q15_t)0x61B0, + (q15_t)0x5269, (q15_t)0x61F1, (q15_t)0x521C, (q15_t)0x6231, + (q15_t)0x51CE, (q15_t)0x6271, (q15_t)0x5181, (q15_t)0x62B2, + (q15_t)0x5133, (q15_t)0x62F2, (q15_t)0x50E5, (q15_t)0x6331, + (q15_t)0x5097, (q15_t)0x6371, (q15_t)0x5049, (q15_t)0x63B0, + (q15_t)0x4FFB, (q15_t)0x63EF, (q15_t)0x4FAC, (q15_t)0x642D, + (q15_t)0x4F5E, (q15_t)0x646C, (q15_t)0x4F0F, (q15_t)0x64AA, + (q15_t)0x4EBF, (q15_t)0x64E8, (q15_t)0x4E70, (q15_t)0x6526, + (q15_t)0x4E21, (q15_t)0x6563, (q15_t)0x4DD1, (q15_t)0x65A0, + (q15_t)0x4D81, (q15_t)0x65DD, (q15_t)0x4D31, (q15_t)0x661A, + (q15_t)0x4CE1, (q15_t)0x6657, (q15_t)0x4C90, (q15_t)0x6693, + (q15_t)0x4C3F, (q15_t)0x66CF, (q15_t)0x4BEF, (q15_t)0x670B, + (q15_t)0x4B9E, (q15_t)0x6746, (q15_t)0x4B4C, (q15_t)0x6782, + (q15_t)0x4AFB, (q15_t)0x67BD, (q15_t)0x4AA9, (q15_t)0x67F7, + (q15_t)0x4A58, (q15_t)0x6832, (q15_t)0x4A06, 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(q15_t)0x9F55, + (q15_t)0xAC64, (q15_t)0x9F13, (q15_t)0xACB1, (q15_t)0x9ED2, + (q15_t)0xACFD, (q15_t)0x9E90, (q15_t)0xAD4A, (q15_t)0x9E4F, + (q15_t)0xAD96, (q15_t)0x9E0E, (q15_t)0xADE3, (q15_t)0x9DCE, + (q15_t)0xAE31, (q15_t)0x9D8E, (q15_t)0xAE7E, (q15_t)0x9D4D, + (q15_t)0xAECC, (q15_t)0x9D0D, (q15_t)0xAF1A, (q15_t)0x9CCE, + (q15_t)0xAF68, (q15_t)0x9C8E, (q15_t)0xAFB6, (q15_t)0x9C4F, + (q15_t)0xB004, (q15_t)0x9C10, (q15_t)0xB053, (q15_t)0x9BD2, + (q15_t)0xB0A1, (q15_t)0x9B93, (q15_t)0xB0F0, (q15_t)0x9B55, + (q15_t)0xB140, (q15_t)0x9B17, (q15_t)0xB18F, (q15_t)0x9AD9, + (q15_t)0xB1DE, (q15_t)0x9A9C, (q15_t)0xB22E, (q15_t)0x9A5F, + (q15_t)0xB27E, (q15_t)0x9A22, (q15_t)0xB2CE, (q15_t)0x99E5, + (q15_t)0xB31E, (q15_t)0x99A8, (q15_t)0xB36F, (q15_t)0x996C, + (q15_t)0xB3C0, (q15_t)0x9930, (q15_t)0xB410, (q15_t)0x98F4, + (q15_t)0xB461, (q15_t)0x98B9, (q15_t)0xB4B3, (q15_t)0x987D, + (q15_t)0xB504, (q15_t)0x9842, (q15_t)0xB556, (q15_t)0x9808, + (q15_t)0xB5A7, (q15_t)0x97CD, (q15_t)0xB5F9, (q15_t)0x9793, + (q15_t)0xB64B, (q15_t)0x9759, (q15_t)0xB69E, (q15_t)0x971F, + (q15_t)0xB6F0, (q15_t)0x96E6, (q15_t)0xB743, (q15_t)0x96AC, + (q15_t)0xB796, (q15_t)0x9673, (q15_t)0xB7E9, (q15_t)0x963B, + (q15_t)0xB83C, (q15_t)0x9602, (q15_t)0xB88F, (q15_t)0x95CA, + (q15_t)0xB8E3, (q15_t)0x9592, (q15_t)0xB936, (q15_t)0x955A, + (q15_t)0xB98A, (q15_t)0x9523, (q15_t)0xB9DE, (q15_t)0x94EC, + (q15_t)0xBA32, (q15_t)0x94B5, (q15_t)0xBA87, (q15_t)0x947E, + (q15_t)0xBADB, (q15_t)0x9447, (q15_t)0xBB30, (q15_t)0x9411, + (q15_t)0xBB85, (q15_t)0x93DB, (q15_t)0xBBDA, (q15_t)0x93A6, + (q15_t)0xBC2F, (q15_t)0x9370, (q15_t)0xBC84, (q15_t)0x933B, + (q15_t)0xBCDA, (q15_t)0x9306, (q15_t)0xBD2F, (q15_t)0x92D2, + (q15_t)0xBD85, (q15_t)0x929D, (q15_t)0xBDDB, (q15_t)0x9269, + (q15_t)0xBE31, (q15_t)0x9235, (q15_t)0xBE88, (q15_t)0x9202, + (q15_t)0xBEDE, (q15_t)0x91CF, (q15_t)0xBF35, (q15_t)0x919C, + (q15_t)0xBF8C, (q15_t)0x9169, (q15_t)0xBFE2, (q15_t)0x9136, + (q15_t)0xC03A, (q15_t)0x9104, (q15_t)0xC091, (q15_t)0x90D2, + (q15_t)0xC0E8, (q15_t)0x90A0, (q15_t)0xC140, (q15_t)0x906F, + (q15_t)0xC197, (q15_t)0x903E, (q15_t)0xC1EF, (q15_t)0x900D, + (q15_t)0xC247, (q15_t)0x8FDC, (q15_t)0xC29F, (q15_t)0x8FAC, + (q15_t)0xC2F8, (q15_t)0x8F7C, (q15_t)0xC350, (q15_t)0x8F4C, + (q15_t)0xC3A9, (q15_t)0x8F1D, (q15_t)0xC402, (q15_t)0x8EED, + (q15_t)0xC45A, (q15_t)0x8EBE, (q15_t)0xC4B3, (q15_t)0x8E90, + (q15_t)0xC50D, (q15_t)0x8E61, (q15_t)0xC566, (q15_t)0x8E33, + (q15_t)0xC5BF, (q15_t)0x8E05, (q15_t)0xC619, (q15_t)0x8DD8, + (q15_t)0xC673, (q15_t)0x8DAA, (q15_t)0xC6CD, (q15_t)0x8D7D, + (q15_t)0xC727, (q15_t)0x8D50, (q15_t)0xC781, (q15_t)0x8D24, + (q15_t)0xC7DB, (q15_t)0x8CF8, (q15_t)0xC835, (q15_t)0x8CCC, + (q15_t)0xC890, (q15_t)0x8CA0, (q15_t)0xC8EB, (q15_t)0x8C75, + (q15_t)0xC945, (q15_t)0x8C4A, (q15_t)0xC9A0, (q15_t)0x8C1F, + (q15_t)0xC9FB, (q15_t)0x8BF4, (q15_t)0xCA57, (q15_t)0x8BCA, + (q15_t)0xCAB2, (q15_t)0x8BA0, (q15_t)0xCB0D, (q15_t)0x8B76, + (q15_t)0xCB69, (q15_t)0x8B4D, (q15_t)0xCBC5, (q15_t)0x8B24, + (q15_t)0xCC21, (q15_t)0x8AFB, (q15_t)0xCC7D, (q15_t)0x8AD2, + (q15_t)0xCCD9, (q15_t)0x8AAA, (q15_t)0xCD35, (q15_t)0x8A82, + (q15_t)0xCD91, (q15_t)0x8A5A, (q15_t)0xCDEE, (q15_t)0x8A33, + (q15_t)0xCE4A, (q15_t)0x8A0B, (q15_t)0xCEA7, (q15_t)0x89E4, + (q15_t)0xCF04, (q15_t)0x89BE, (q15_t)0xCF61, (q15_t)0x8997, + (q15_t)0xCFBE, (q15_t)0x8971, (q15_t)0xD01B, (q15_t)0x894C, + (q15_t)0xD078, (q15_t)0x8926, (q15_t)0xD0D6, (q15_t)0x8901, + (q15_t)0xD133, (q15_t)0x88DC, (q15_t)0xD191, (q15_t)0x88B8, + (q15_t)0xD1EE, (q15_t)0x8893, (q15_t)0xD24C, (q15_t)0x886F, + (q15_t)0xD2AA, (q15_t)0x884B, (q15_t)0xD308, (q15_t)0x8828, + (q15_t)0xD367, (q15_t)0x8805, (q15_t)0xD3C5, (q15_t)0x87E2, + (q15_t)0xD423, (q15_t)0x87BF, (q15_t)0xD482, (q15_t)0x879D, + (q15_t)0xD4E0, (q15_t)0x877B, (q15_t)0xD53F, (q15_t)0x8759, + (q15_t)0xD59E, (q15_t)0x8738, (q15_t)0xD5FD, (q15_t)0x8717, + (q15_t)0xD65C, (q15_t)0x86F6, (q15_t)0xD6BB, (q15_t)0x86D5, + (q15_t)0xD71A, (q15_t)0x86B5, (q15_t)0xD779, (q15_t)0x8695, + (q15_t)0xD7D9, (q15_t)0x8675, (q15_t)0xD838, (q15_t)0x8656, + (q15_t)0xD898, (q15_t)0x8637, (q15_t)0xD8F8, (q15_t)0x8618, + (q15_t)0xD957, (q15_t)0x85FA, (q15_t)0xD9B7, (q15_t)0x85DB, + (q15_t)0xDA17, (q15_t)0x85BD, (q15_t)0xDA77, (q15_t)0x85A0, + (q15_t)0xDAD7, (q15_t)0x8582, (q15_t)0xDB38, (q15_t)0x8565, + (q15_t)0xDB98, (q15_t)0x8549, (q15_t)0xDBF8, (q15_t)0x852C, + (q15_t)0xDC59, (q15_t)0x8510, (q15_t)0xDCBA, (q15_t)0x84F4, + (q15_t)0xDD1A, (q15_t)0x84D9, (q15_t)0xDD7B, (q15_t)0x84BD, + (q15_t)0xDDDC, (q15_t)0x84A2, (q15_t)0xDE3D, (q15_t)0x8488, + (q15_t)0xDE9E, (q15_t)0x846D, (q15_t)0xDEFF, (q15_t)0x8453, + (q15_t)0xDF60, (q15_t)0x843A, (q15_t)0xDFC1, (q15_t)0x8420, + (q15_t)0xE023, (q15_t)0x8407, (q15_t)0xE084, (q15_t)0x83EE, + (q15_t)0xE0E6, (q15_t)0x83D6, (q15_t)0xE147, (q15_t)0x83BD, + (q15_t)0xE1A9, (q15_t)0x83A5, (q15_t)0xE20A, (q15_t)0x838E, + (q15_t)0xE26C, (q15_t)0x8376, (q15_t)0xE2CE, (q15_t)0x835F, + (q15_t)0xE330, (q15_t)0x8348, (q15_t)0xE392, (q15_t)0x8332, + (q15_t)0xE3F4, (q15_t)0x831C, (q15_t)0xE456, (q15_t)0x8306, + (q15_t)0xE4B8, (q15_t)0x82F0, (q15_t)0xE51B, (q15_t)0x82DB, + (q15_t)0xE57D, (q15_t)0x82C6, (q15_t)0xE5DF, (q15_t)0x82B1, + (q15_t)0xE642, (q15_t)0x829D, (q15_t)0xE6A4, (q15_t)0x8289, + (q15_t)0xE707, (q15_t)0x8275, (q15_t)0xE769, (q15_t)0x8262, + (q15_t)0xE7CC, (q15_t)0x824F, (q15_t)0xE82F, (q15_t)0x823C, + (q15_t)0xE892, (q15_t)0x8229, (q15_t)0xE8F5, (q15_t)0x8217, + (q15_t)0xE957, (q15_t)0x8205, (q15_t)0xE9BA, (q15_t)0x81F3, + (q15_t)0xEA1D, (q15_t)0x81E2, (q15_t)0xEA80, (q15_t)0x81D1, + (q15_t)0xEAE4, (q15_t)0x81C0, (q15_t)0xEB47, (q15_t)0x81B0, + (q15_t)0xEBAA, (q15_t)0x81A0, (q15_t)0xEC0D, (q15_t)0x8190, + (q15_t)0xEC71, (q15_t)0x8180, (q15_t)0xECD4, (q15_t)0x8171, + (q15_t)0xED37, (q15_t)0x8162, (q15_t)0xED9B, (q15_t)0x8154, + (q15_t)0xEDFE, (q15_t)0x8145, (q15_t)0xEE62, (q15_t)0x8137, + (q15_t)0xEEC6, (q15_t)0x812A, (q15_t)0xEF29, (q15_t)0x811C, + (q15_t)0xEF8D, (q15_t)0x810F, (q15_t)0xEFF1, (q15_t)0x8102, + (q15_t)0xF054, (q15_t)0x80F6, (q15_t)0xF0B8, (q15_t)0x80EA, + (q15_t)0xF11C, (q15_t)0x80DE, (q15_t)0xF180, (q15_t)0x80D2, + (q15_t)0xF1E4, (q15_t)0x80C7, (q15_t)0xF248, (q15_t)0x80BC, + (q15_t)0xF2AC, (q15_t)0x80B2, (q15_t)0xF310, (q15_t)0x80A7, + (q15_t)0xF374, (q15_t)0x809D, (q15_t)0xF3D8, (q15_t)0x8094, + (q15_t)0xF43C, (q15_t)0x808A, (q15_t)0xF4A0, (q15_t)0x8081, + (q15_t)0xF504, (q15_t)0x8078, (q15_t)0xF568, (q15_t)0x8070, + (q15_t)0xF5CC, (q15_t)0x8068, (q15_t)0xF631, (q15_t)0x8060, + (q15_t)0xF695, (q15_t)0x8058, (q15_t)0xF6F9, (q15_t)0x8051, + (q15_t)0xF75D, (q15_t)0x804A, (q15_t)0xF7C2, (q15_t)0x8043, + (q15_t)0xF826, (q15_t)0x803D, (q15_t)0xF88A, (q15_t)0x8037, + (q15_t)0xF8EF, (q15_t)0x8031, (q15_t)0xF953, (q15_t)0x802C, + (q15_t)0xF9B8, (q15_t)0x8027, (q15_t)0xFA1C, (q15_t)0x8022, + (q15_t)0xFA80, (q15_t)0x801E, (q15_t)0xFAE5, (q15_t)0x801A, + (q15_t)0xFB49, (q15_t)0x8016, (q15_t)0xFBAE, (q15_t)0x8012, + (q15_t)0xFC12, (q15_t)0x800F, (q15_t)0xFC77, (q15_t)0x800C, + (q15_t)0xFCDB, (q15_t)0x8009, (q15_t)0xFD40, (q15_t)0x8007, + (q15_t)0xFDA4, (q15_t)0x8005, (q15_t)0xFE09, (q15_t)0x8003, + (q15_t)0xFE6D, (q15_t)0x8002, (q15_t)0xFED2, (q15_t)0x8001, + (q15_t)0xFF36, (q15_t)0x8000, (q15_t)0xFF9B, (q15_t)0x8000 +}; + +/** +* \par +* Example code for q15 Twiddle factors Generation:: +* \par +*
for(i = 0; i< 3N/4; i++)
+* {
+*    twiddleCoefq15[2*i]= cos(i * 2*PI/(float)N);
+*    twiddleCoefq15[2*i+1]= sin(i * 2*PI/(float)N);
+* } 
+* \par +* where N = 4096 and PI = 3.14159265358979 +* \par +* Cos and Sin values are interleaved fashion +* \par +* Convert Floating point to q15(Fixed point 1.15): +* round(twiddleCoefq15(i) * pow(2, 15)) +* +*/ +const q15_t twiddleCoef_4096_q15[6144] = +{ + (q15_t)0x7FFF, (q15_t)0x0000, (q15_t)0x7FFF, (q15_t)0x0032, + (q15_t)0x7FFF, (q15_t)0x0064, (q15_t)0x7FFF, (q15_t)0x0096, + (q15_t)0x7FFF, (q15_t)0x00C9, (q15_t)0x7FFF, (q15_t)0x00FB, + (q15_t)0x7FFE, (q15_t)0x012D, (q15_t)0x7FFE, (q15_t)0x015F, + (q15_t)0x7FFD, (q15_t)0x0192, (q15_t)0x7FFC, (q15_t)0x01C4, + (q15_t)0x7FFC, (q15_t)0x01F6, (q15_t)0x7FFB, (q15_t)0x0228, + (q15_t)0x7FFA, (q15_t)0x025B, (q15_t)0x7FF9, (q15_t)0x028D, + (q15_t)0x7FF8, (q15_t)0x02BF, (q15_t)0x7FF7, (q15_t)0x02F1, + (q15_t)0x7FF6, (q15_t)0x0324, (q15_t)0x7FF4, (q15_t)0x0356, + (q15_t)0x7FF3, (q15_t)0x0388, (q15_t)0x7FF2, (q15_t)0x03BA, + (q15_t)0x7FF0, (q15_t)0x03ED, (q15_t)0x7FEE, (q15_t)0x041F, + (q15_t)0x7FED, (q15_t)0x0451, (q15_t)0x7FEB, (q15_t)0x0483, + (q15_t)0x7FE9, (q15_t)0x04B6, (q15_t)0x7FE7, (q15_t)0x04E8, + (q15_t)0x7FE5, (q15_t)0x051A, (q15_t)0x7FE3, (q15_t)0x054C, + (q15_t)0x7FE1, (q15_t)0x057F, (q15_t)0x7FDF, (q15_t)0x05B1, + (q15_t)0x7FDD, (q15_t)0x05E3, (q15_t)0x7FDA, (q15_t)0x0615, + (q15_t)0x7FD8, (q15_t)0x0647, (q15_t)0x7FD6, (q15_t)0x067A, + (q15_t)0x7FD3, (q15_t)0x06AC, (q15_t)0x7FD0, (q15_t)0x06DE, + (q15_t)0x7FCE, (q15_t)0x0710, (q15_t)0x7FCB, (q15_t)0x0742, + (q15_t)0x7FC8, (q15_t)0x0775, (q15_t)0x7FC5, (q15_t)0x07A7, + (q15_t)0x7FC2, (q15_t)0x07D9, (q15_t)0x7FBF, (q15_t)0x080B, + (q15_t)0x7FBC, (q15_t)0x083D, (q15_t)0x7FB8, (q15_t)0x086F, + (q15_t)0x7FB5, (q15_t)0x08A2, (q15_t)0x7FB1, (q15_t)0x08D4, + (q15_t)0x7FAE, (q15_t)0x0906, (q15_t)0x7FAA, (q15_t)0x0938, + (q15_t)0x7FA7, (q15_t)0x096A, (q15_t)0x7FA3, (q15_t)0x099C, + (q15_t)0x7F9F, (q15_t)0x09CE, (q15_t)0x7F9B, (q15_t)0x0A00, + (q15_t)0x7F97, (q15_t)0x0A33, (q15_t)0x7F93, (q15_t)0x0A65, + (q15_t)0x7F8F, (q15_t)0x0A97, (q15_t)0x7F8B, 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(q15_t)0xB52D, + (q15_t)0x9842, (q15_t)0xB504, (q15_t)0x9860, (q15_t)0xB4DB, + (q15_t)0x987D, (q15_t)0xB4B3, (q15_t)0x989B, (q15_t)0xB48A, + (q15_t)0x98B9, (q15_t)0xB461, (q15_t)0x98D6, (q15_t)0xB439, + (q15_t)0x98F4, (q15_t)0xB410, (q15_t)0x9912, (q15_t)0xB3E8, + (q15_t)0x9930, (q15_t)0xB3C0, (q15_t)0x994E, (q15_t)0xB397, + (q15_t)0x996C, (q15_t)0xB36F, (q15_t)0x998A, (q15_t)0xB347, + (q15_t)0x99A8, (q15_t)0xB31E, (q15_t)0x99C6, (q15_t)0xB2F6, + (q15_t)0x99E5, (q15_t)0xB2CE, (q15_t)0x9A03, (q15_t)0xB2A6, + (q15_t)0x9A22, (q15_t)0xB27E, (q15_t)0x9A40, (q15_t)0xB256, + (q15_t)0x9A5F, (q15_t)0xB22E, (q15_t)0x9A7D, (q15_t)0xB206, + (q15_t)0x9A9C, (q15_t)0xB1DE, (q15_t)0x9ABA, (q15_t)0xB1B7, + (q15_t)0x9AD9, (q15_t)0xB18F, (q15_t)0x9AF8, (q15_t)0xB167, + (q15_t)0x9B17, (q15_t)0xB140, (q15_t)0x9B36, (q15_t)0xB118, + (q15_t)0x9B55, (q15_t)0xB0F0, (q15_t)0x9B74, (q15_t)0xB0C9, + (q15_t)0x9B93, (q15_t)0xB0A1, (q15_t)0x9BB2, (q15_t)0xB07A, + (q15_t)0x9BD2, (q15_t)0xB053, (q15_t)0x9BF1, (q15_t)0xB02B, + (q15_t)0x9C10, (q15_t)0xB004, (q15_t)0x9C30, (q15_t)0xAFDD, + (q15_t)0x9C4F, (q15_t)0xAFB6, (q15_t)0x9C6F, (q15_t)0xAF8F, + (q15_t)0x9C8E, (q15_t)0xAF68, (q15_t)0x9CAE, (q15_t)0xAF40, + (q15_t)0x9CCE, (q15_t)0xAF1A, (q15_t)0x9CEE, (q15_t)0xAEF3, + (q15_t)0x9D0D, (q15_t)0xAECC, (q15_t)0x9D2D, (q15_t)0xAEA5, + (q15_t)0x9D4D, (q15_t)0xAE7E, (q15_t)0x9D6D, (q15_t)0xAE57, + (q15_t)0x9D8E, (q15_t)0xAE31, (q15_t)0x9DAE, (q15_t)0xAE0A, + (q15_t)0x9DCE, (q15_t)0xADE3, (q15_t)0x9DEE, (q15_t)0xADBD, + (q15_t)0x9E0E, (q15_t)0xAD96, (q15_t)0x9E2F, (q15_t)0xAD70, + (q15_t)0x9E4F, (q15_t)0xAD4A, (q15_t)0x9E70, (q15_t)0xAD23, + (q15_t)0x9E90, (q15_t)0xACFD, (q15_t)0x9EB1, (q15_t)0xACD7, + (q15_t)0x9ED2, (q15_t)0xACB1, (q15_t)0x9EF2, (q15_t)0xAC8A, + (q15_t)0x9F13, (q15_t)0xAC64, (q15_t)0x9F34, (q15_t)0xAC3E, + (q15_t)0x9F55, (q15_t)0xAC18, (q15_t)0x9F76, (q15_t)0xABF2, + (q15_t)0x9F97, (q15_t)0xABCC, (q15_t)0x9FB8, (q15_t)0xABA7, + (q15_t)0x9FD9, (q15_t)0xAB81, (q15_t)0x9FFB, (q15_t)0xAB5B, + (q15_t)0xA01C, (q15_t)0xAB35, (q15_t)0xA03D, (q15_t)0xAB10, + (q15_t)0xA05F, (q15_t)0xAAEA, (q15_t)0xA080, (q15_t)0xAAC5, + (q15_t)0xA0A1, (q15_t)0xAA9F, (q15_t)0xA0C3, (q15_t)0xAA7A, + (q15_t)0xA0E5, (q15_t)0xAA54, (q15_t)0xA106, (q15_t)0xAA2F, + (q15_t)0xA128, (q15_t)0xAA0A, (q15_t)0xA14A, (q15_t)0xA9E5, + (q15_t)0xA16C, (q15_t)0xA9BF, (q15_t)0xA18E, (q15_t)0xA99A, + (q15_t)0xA1AF, (q15_t)0xA975, (q15_t)0xA1D2, (q15_t)0xA950, + (q15_t)0xA1F4, (q15_t)0xA92B, (q15_t)0xA216, (q15_t)0xA906, + (q15_t)0xA238, (q15_t)0xA8E2, (q15_t)0xA25A, (q15_t)0xA8BD, + (q15_t)0xA27C, (q15_t)0xA898, (q15_t)0xA29F, (q15_t)0xA873, + (q15_t)0xA2C1, (q15_t)0xA84F, (q15_t)0xA2E4, (q15_t)0xA82A, + (q15_t)0xA306, (q15_t)0xA806, (q15_t)0xA329, (q15_t)0xA7E1, + (q15_t)0xA34B, (q15_t)0xA7BD, (q15_t)0xA36E, (q15_t)0xA798, + (q15_t)0xA391, (q15_t)0xA774, (q15_t)0xA3B4, (q15_t)0xA750, + (q15_t)0xA3D6, (q15_t)0xA72B, (q15_t)0xA3F9, (q15_t)0xA707, + (q15_t)0xA41C, (q15_t)0xA6E3, (q15_t)0xA43F, (q15_t)0xA6BF, + (q15_t)0xA462, (q15_t)0xA69B, (q15_t)0xA486, (q15_t)0xA677, + (q15_t)0xA4A9, (q15_t)0xA653, (q15_t)0xA4CC, (q15_t)0xA62F, + (q15_t)0xA4EF, (q15_t)0xA60C, (q15_t)0xA513, (q15_t)0xA5E8, + (q15_t)0xA536, (q15_t)0xA5C4, (q15_t)0xA55A, (q15_t)0xA5A1, + (q15_t)0xA57D, (q15_t)0xA57D, (q15_t)0xA5A1, (q15_t)0xA55A, + (q15_t)0xA5C4, (q15_t)0xA536, (q15_t)0xA5E8, (q15_t)0xA513, + (q15_t)0xA60C, (q15_t)0xA4EF, (q15_t)0xA62F, (q15_t)0xA4CC, + (q15_t)0xA653, (q15_t)0xA4A9, (q15_t)0xA677, (q15_t)0xA486, + (q15_t)0xA69B, (q15_t)0xA462, (q15_t)0xA6BF, (q15_t)0xA43F, + (q15_t)0xA6E3, (q15_t)0xA41C, (q15_t)0xA707, (q15_t)0xA3F9, + (q15_t)0xA72B, (q15_t)0xA3D6, (q15_t)0xA750, (q15_t)0xA3B4, + (q15_t)0xA774, (q15_t)0xA391, (q15_t)0xA798, (q15_t)0xA36E, + (q15_t)0xA7BD, (q15_t)0xA34B, (q15_t)0xA7E1, (q15_t)0xA329, + (q15_t)0xA806, (q15_t)0xA306, (q15_t)0xA82A, (q15_t)0xA2E4, + (q15_t)0xA84F, (q15_t)0xA2C1, (q15_t)0xA873, (q15_t)0xA29F, + (q15_t)0xA898, (q15_t)0xA27C, (q15_t)0xA8BD, (q15_t)0xA25A, + (q15_t)0xA8E2, (q15_t)0xA238, (q15_t)0xA906, (q15_t)0xA216, + (q15_t)0xA92B, (q15_t)0xA1F4, (q15_t)0xA950, (q15_t)0xA1D2, + (q15_t)0xA975, (q15_t)0xA1AF, (q15_t)0xA99A, (q15_t)0xA18E, + (q15_t)0xA9BF, (q15_t)0xA16C, (q15_t)0xA9E5, (q15_t)0xA14A, + (q15_t)0xAA0A, (q15_t)0xA128, (q15_t)0xAA2F, (q15_t)0xA106, + (q15_t)0xAA54, (q15_t)0xA0E5, (q15_t)0xAA7A, (q15_t)0xA0C3, + (q15_t)0xAA9F, (q15_t)0xA0A1, (q15_t)0xAAC5, (q15_t)0xA080, + (q15_t)0xAAEA, (q15_t)0xA05F, (q15_t)0xAB10, (q15_t)0xA03D, + (q15_t)0xAB35, (q15_t)0xA01C, (q15_t)0xAB5B, (q15_t)0x9FFB, + (q15_t)0xAB81, (q15_t)0x9FD9, (q15_t)0xABA7, (q15_t)0x9FB8, + (q15_t)0xABCC, (q15_t)0x9F97, (q15_t)0xABF2, (q15_t)0x9F76, + (q15_t)0xAC18, (q15_t)0x9F55, (q15_t)0xAC3E, (q15_t)0x9F34, + (q15_t)0xAC64, (q15_t)0x9F13, (q15_t)0xAC8A, (q15_t)0x9EF2, + (q15_t)0xACB1, (q15_t)0x9ED2, (q15_t)0xACD7, (q15_t)0x9EB1, + (q15_t)0xACFD, (q15_t)0x9E90, (q15_t)0xAD23, (q15_t)0x9E70, + (q15_t)0xAD4A, (q15_t)0x9E4F, (q15_t)0xAD70, (q15_t)0x9E2F, + (q15_t)0xAD96, (q15_t)0x9E0E, (q15_t)0xADBD, (q15_t)0x9DEE, + (q15_t)0xADE3, (q15_t)0x9DCE, (q15_t)0xAE0A, (q15_t)0x9DAE, + (q15_t)0xAE31, (q15_t)0x9D8E, (q15_t)0xAE57, (q15_t)0x9D6D, + (q15_t)0xAE7E, (q15_t)0x9D4D, (q15_t)0xAEA5, (q15_t)0x9D2D, + (q15_t)0xAECC, (q15_t)0x9D0D, (q15_t)0xAEF3, (q15_t)0x9CEE, + (q15_t)0xAF1A, (q15_t)0x9CCE, (q15_t)0xAF40, (q15_t)0x9CAE, + (q15_t)0xAF68, (q15_t)0x9C8E, (q15_t)0xAF8F, (q15_t)0x9C6F, + (q15_t)0xAFB6, (q15_t)0x9C4F, (q15_t)0xAFDD, (q15_t)0x9C30, + (q15_t)0xB004, (q15_t)0x9C10, (q15_t)0xB02B, (q15_t)0x9BF1, + (q15_t)0xB053, (q15_t)0x9BD2, (q15_t)0xB07A, (q15_t)0x9BB2, + (q15_t)0xB0A1, (q15_t)0x9B93, (q15_t)0xB0C9, (q15_t)0x9B74, + (q15_t)0xB0F0, (q15_t)0x9B55, (q15_t)0xB118, (q15_t)0x9B36, + (q15_t)0xB140, (q15_t)0x9B17, (q15_t)0xB167, (q15_t)0x9AF8, + (q15_t)0xB18F, (q15_t)0x9AD9, (q15_t)0xB1B7, (q15_t)0x9ABA, + (q15_t)0xB1DE, (q15_t)0x9A9C, (q15_t)0xB206, (q15_t)0x9A7D, + (q15_t)0xB22E, (q15_t)0x9A5F, (q15_t)0xB256, (q15_t)0x9A40, + (q15_t)0xB27E, (q15_t)0x9A22, (q15_t)0xB2A6, (q15_t)0x9A03, + (q15_t)0xB2CE, (q15_t)0x99E5, (q15_t)0xB2F6, (q15_t)0x99C6, + (q15_t)0xB31E, (q15_t)0x99A8, (q15_t)0xB347, (q15_t)0x998A, + (q15_t)0xB36F, (q15_t)0x996C, (q15_t)0xB397, (q15_t)0x994E, + (q15_t)0xB3C0, (q15_t)0x9930, (q15_t)0xB3E8, (q15_t)0x9912, + (q15_t)0xB410, (q15_t)0x98F4, (q15_t)0xB439, (q15_t)0x98D6, + (q15_t)0xB461, (q15_t)0x98B9, (q15_t)0xB48A, (q15_t)0x989B, + (q15_t)0xB4B3, (q15_t)0x987D, (q15_t)0xB4DB, (q15_t)0x9860, + (q15_t)0xB504, (q15_t)0x9842, (q15_t)0xB52D, (q15_t)0x9825, + (q15_t)0xB556, (q15_t)0x9808, (q15_t)0xB57E, (q15_t)0x97EA, + (q15_t)0xB5A7, (q15_t)0x97CD, (q15_t)0xB5D0, (q15_t)0x97B0, + (q15_t)0xB5F9, (q15_t)0x9793, (q15_t)0xB622, (q15_t)0x9776, + (q15_t)0xB64B, (q15_t)0x9759, (q15_t)0xB675, (q15_t)0x973C, + (q15_t)0xB69E, (q15_t)0x971F, (q15_t)0xB6C7, (q15_t)0x9702, + (q15_t)0xB6F0, (q15_t)0x96E6, (q15_t)0xB719, (q15_t)0x96C9, + (q15_t)0xB743, (q15_t)0x96AC, (q15_t)0xB76C, 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(q15_t)0x81A8, + (q15_t)0xEBAA, (q15_t)0x81A0, (q15_t)0xEBDC, (q15_t)0x8198, + (q15_t)0xEC0D, (q15_t)0x8190, (q15_t)0xEC3F, (q15_t)0x8188, + (q15_t)0xEC71, (q15_t)0x8180, (q15_t)0xECA2, (q15_t)0x8179, + (q15_t)0xECD4, (q15_t)0x8171, (q15_t)0xED06, (q15_t)0x816A, + (q15_t)0xED37, (q15_t)0x8162, (q15_t)0xED69, (q15_t)0x815B, + (q15_t)0xED9B, (q15_t)0x8154, (q15_t)0xEDCD, (q15_t)0x814C, + (q15_t)0xEDFE, (q15_t)0x8145, (q15_t)0xEE30, (q15_t)0x813E, + (q15_t)0xEE62, (q15_t)0x8137, (q15_t)0xEE94, (q15_t)0x8130, + (q15_t)0xEEC6, (q15_t)0x812A, (q15_t)0xEEF7, (q15_t)0x8123, + (q15_t)0xEF29, (q15_t)0x811C, (q15_t)0xEF5B, (q15_t)0x8116, + (q15_t)0xEF8D, (q15_t)0x810F, (q15_t)0xEFBF, (q15_t)0x8109, + (q15_t)0xEFF1, (q15_t)0x8102, (q15_t)0xF022, (q15_t)0x80FC, + (q15_t)0xF054, (q15_t)0x80F6, (q15_t)0xF086, (q15_t)0x80F0, + (q15_t)0xF0B8, (q15_t)0x80EA, (q15_t)0xF0EA, (q15_t)0x80E4, + (q15_t)0xF11C, (q15_t)0x80DE, (q15_t)0xF14E, (q15_t)0x80D8, + (q15_t)0xF180, (q15_t)0x80D2, (q15_t)0xF1B2, (q15_t)0x80CD, + (q15_t)0xF1E4, (q15_t)0x80C7, (q15_t)0xF216, (q15_t)0x80C2, + (q15_t)0xF248, (q15_t)0x80BC, (q15_t)0xF27A, (q15_t)0x80B7, + (q15_t)0xF2AC, (q15_t)0x80B2, (q15_t)0xF2DE, (q15_t)0x80AC, + (q15_t)0xF310, (q15_t)0x80A7, (q15_t)0xF342, (q15_t)0x80A2, + (q15_t)0xF374, (q15_t)0x809D, (q15_t)0xF3A6, (q15_t)0x8098, + (q15_t)0xF3D8, (q15_t)0x8094, (q15_t)0xF40A, (q15_t)0x808F, + (q15_t)0xF43C, (q15_t)0x808A, (q15_t)0xF46E, (q15_t)0x8086, + (q15_t)0xF4A0, (q15_t)0x8081, (q15_t)0xF4D2, (q15_t)0x807D, + (q15_t)0xF504, (q15_t)0x8078, (q15_t)0xF536, (q15_t)0x8074, + (q15_t)0xF568, (q15_t)0x8070, (q15_t)0xF59A, (q15_t)0x806C, + (q15_t)0xF5CC, (q15_t)0x8068, (q15_t)0xF5FF, (q15_t)0x8064, + (q15_t)0xF631, (q15_t)0x8060, (q15_t)0xF663, (q15_t)0x805C, + (q15_t)0xF695, (q15_t)0x8058, (q15_t)0xF6C7, (q15_t)0x8055, + (q15_t)0xF6F9, (q15_t)0x8051, (q15_t)0xF72B, (q15_t)0x804E, + (q15_t)0xF75D, (q15_t)0x804A, (q15_t)0xF790, (q15_t)0x8047, + (q15_t)0xF7C2, (q15_t)0x8043, (q15_t)0xF7F4, (q15_t)0x8040, + (q15_t)0xF826, (q15_t)0x803D, (q15_t)0xF858, (q15_t)0x803A, + (q15_t)0xF88A, (q15_t)0x8037, (q15_t)0xF8BD, (q15_t)0x8034, + (q15_t)0xF8EF, (q15_t)0x8031, (q15_t)0xF921, (q15_t)0x802F, + (q15_t)0xF953, (q15_t)0x802C, (q15_t)0xF985, (q15_t)0x8029, + (q15_t)0xF9B8, (q15_t)0x8027, (q15_t)0xF9EA, (q15_t)0x8025, + (q15_t)0xFA1C, (q15_t)0x8022, (q15_t)0xFA4E, (q15_t)0x8020, + (q15_t)0xFA80, (q15_t)0x801E, (q15_t)0xFAB3, (q15_t)0x801C, + (q15_t)0xFAE5, (q15_t)0x801A, (q15_t)0xFB17, (q15_t)0x8018, + (q15_t)0xFB49, (q15_t)0x8016, (q15_t)0xFB7C, (q15_t)0x8014, + (q15_t)0xFBAE, (q15_t)0x8012, (q15_t)0xFBE0, (q15_t)0x8011, + (q15_t)0xFC12, (q15_t)0x800F, (q15_t)0xFC45, (q15_t)0x800D, + (q15_t)0xFC77, (q15_t)0x800C, (q15_t)0xFCA9, (q15_t)0x800B, + (q15_t)0xFCDB, (q15_t)0x8009, (q15_t)0xFD0E, (q15_t)0x8008, + (q15_t)0xFD40, (q15_t)0x8007, (q15_t)0xFD72, (q15_t)0x8006, + (q15_t)0xFDA4, (q15_t)0x8005, (q15_t)0xFDD7, (q15_t)0x8004, + (q15_t)0xFE09, (q15_t)0x8003, (q15_t)0xFE3B, (q15_t)0x8003, + (q15_t)0xFE6D, (q15_t)0x8002, (q15_t)0xFEA0, (q15_t)0x8001, + (q15_t)0xFED2, (q15_t)0x8001, (q15_t)0xFF04, (q15_t)0x8000, + (q15_t)0xFF36, (q15_t)0x8000, (q15_t)0xFF69, (q15_t)0x8000, + (q15_t)0xFF9B, (q15_t)0x8000, (q15_t)0xFFCD, (q15_t)0x8000 +}; + + +/** +* @} end of CFFT_CIFFT group +*/ + +/* +* @brief Q15 table for reciprocal +*/ +const q15_t ALIGN4 armRecipTableQ15[64] = { + 0x7F03, 0x7D13, 0x7B31, 0x795E, 0x7798, 0x75E0, + 0x7434, 0x7294, 0x70FF, 0x6F76, 0x6DF6, 0x6C82, + 0x6B16, 0x69B5, 0x685C, 0x670C, 0x65C4, 0x6484, + 0x634C, 0x621C, 0x60F3, 0x5FD0, 0x5EB5, 0x5DA0, + 0x5C91, 0x5B88, 0x5A85, 0x5988, 0x5890, 0x579E, + 0x56B0, 0x55C8, 0x54E4, 0x5405, 0x532B, 0x5255, + 0x5183, 0x50B6, 0x4FEC, 0x4F26, 0x4E64, 0x4DA6, + 0x4CEC, 0x4C34, 0x4B81, 0x4AD0, 0x4A23, 0x4978, + 0x48D1, 0x482D, 0x478C, 0x46ED, 0x4651, 0x45B8, + 0x4521, 0x448D, 0x43FC, 0x436C, 0x42DF, 0x4255, + 0x41CC, 0x4146, 0x40C2, 0x4040 +}; + +/* +* @brief Q31 table for reciprocal +*/ +const q31_t armRecipTableQ31[64] = { + 0x7F03F03F, 0x7D137420, 0x7B31E739, 0x795E9F94, 0x7798FD29, 0x75E06928, + 0x7434554D, 0x72943B4B, 0x70FF9C40, 0x6F760031, 0x6DF6F593, 0x6C8210E3, + 0x6B16EC3A, 0x69B526F6, 0x685C655F, 0x670C505D, 0x65C4952D, 0x6484E519, + 0x634CF53E, 0x621C7E4F, 0x60F33C61, 0x5FD0EEB3, 0x5EB55785, 0x5DA03BEB, + 0x5C9163A1, 0x5B8898E6, 0x5A85A85A, 0x598860DF, 0x58909373, 0x579E1318, + 0x56B0B4B8, 0x55C84F0B, 0x54E4BA80, 0x5405D124, 0x532B6E8F, 0x52556FD0, + 0x5183B35A, 0x50B618F3, 0x4FEC81A2, 0x4F26CFA2, 0x4E64E64E, 0x4DA6AA1D, + 0x4CEC008B, 0x4C34D010, 0x4B810016, 0x4AD078EF, 0x4A2323C4, 0x4978EA96, + 0x48D1B827, 0x482D77FE, 0x478C1657, 0x46ED801D, 0x4651A2E5, 0x45B86CE2, + 0x4521CCE1, 0x448DB244, 0x43FC0CFA, 0x436CCD78, 0x42DFE4B4, 0x42554426, + 0x41CCDDB6, 0x4146A3C6, 0x40C28923, 0x40408102 +}; + +const uint16_t armBitRevIndexTable16[ARMBITREVINDEXTABLE_16_TABLE_LENGTH] = +{ + /* 8x2, size 20 */ + 8,64, 24,72, 16,64, 40,80, 32,64, 56,88, 48,72, 88,104, 72,96, 104,112 +}; + +const uint16_t armBitRevIndexTable32[ARMBITREVINDEXTABLE_32_TABLE_LENGTH] = +{ + /* 8x4, size 48 */ + 8,64, 16,128, 24,192, 32,64, 40,72, 48,136, 56,200, 64,128, 72,80, 88,208, + 80,144, 96,192, 104,208, 112,152, 120,216, 136,192, 144,160, 168,208, + 152,224, 176,208, 184,232, 216,240, 200,224, 232,240 +}; + +const uint16_t armBitRevIndexTable64[ARMBITREVINDEXTABLE_64_TABLE_LENGTH] = +{ + /* radix 8, size 56 */ + 8,64, 16,128, 24,192, 32,256, 40,320, 48,384, 56,448, 80,136, 88,200, + 96,264, 104,328, 112,392, 120,456, 152,208, 160,272, 168,336, 176,400, + 184,464, 224,280, 232,344, 240,408, 248,472, 296,352, 304,416, 312,480, + 368,424, 376,488, 440,496 +}; + +const uint16_t armBitRevIndexTable128[ARMBITREVINDEXTABLE_128_TABLE_LENGTH] = +{ + /* 8x2, size 208 */ + 8,512, 16,64, 24,576, 32,128, 40,640, 48,192, 56,704, 64,256, 72,768, + 80,320, 88,832, 96,384, 104,896, 112,448, 120,960, 128,512, 136,520, + 144,768, 152,584, 160,520, 168,648, 176,200, 184,712, 192,264, 200,776, + 208,328, 216,840, 224,392, 232,904, 240,456, 248,968, 264,528, 272,320, + 280,592, 288,768, 296,656, 304,328, 312,720, 328,784, 344,848, 352,400, + 360,912, 368,464, 376,976, 384,576, 392,536, 400,832, 408,600, 416,584, + 424,664, 432,840, 440,728, 448,592, 456,792, 464,848, 472,856, 480,600, + 488,920, 496,856, 504,984, 520,544, 528,576, 536,608, 552,672, 560,608, + 568,736, 576,768, 584,800, 592,832, 600,864, 608,800, 616,928, 624,864, + 632,992, 648,672, 656,896, 664,928, 688,904, 696,744, 704,896, 712,808, + 720,912, 728,872, 736,928, 744,936, 752,920, 760,1000, 776,800, 784,832, + 792,864, 808,904, 816,864, 824,920, 840,864, 856,880, 872,944, 888,1008, + 904,928, 912,960, 920,992, 944,968, 952,1000, 968,992, 984,1008 +}; + +const uint16_t armBitRevIndexTable256[ARMBITREVINDEXTABLE_256_TABLE_LENGTH] = +{ + /* 8x4, size 440 */ + 8,512, 16,1024, 24,1536, 32,64, 40,576, 48,1088, 56,1600, 64,128, 72,640, + 80,1152, 88,1664, 96,192, 104,704, 112,1216, 120,1728, 128,256, 136,768, + 144,1280, 152,1792, 160,320, 168,832, 176,1344, 184,1856, 192,384, + 200,896, 208,1408, 216,1920, 224,448, 232,960, 240,1472, 248,1984, + 256,512, 264,520, 272,1032, 280,1544, 288,640, 296,584, 304,1096, 312,1608, + 320,768, 328,648, 336,1160, 344,1672, 352,896, 360,712, 368,1224, 376,1736, + 384,520, 392,776, 400,1288, 408,1800, 416,648, 424,840, 432,1352, 440,1864, + 448,776, 456,904, 464,1416, 472,1928, 480,904, 488,968, 496,1480, 504,1992, + 520,528, 512,1024, 528,1040, 536,1552, 544,1152, 552,592, 560,1104, + 568,1616, 576,1280, 584,656, 592,1168, 600,1680, 608,1408, 616,720, + 624,1232, 632,1744, 640,1032, 648,784, 656,1296, 664,1808, 672,1160, + 680,848, 688,1360, 696,1872, 704,1288, 712,912, 720,1424, 728,1936, + 736,1416, 744,976, 752,1488, 760,2000, 768,1536, 776,1552, 784,1048, + 792,1560, 800,1664, 808,1680, 816,1112, 824,1624, 832,1792, 840,1808, + 848,1176, 856,1688, 864,1920, 872,1936, 880,1240, 888,1752, 896,1544, + 904,1560, 912,1304, 920,1816, 928,1672, 936,1688, 944,1368, 952,1880, + 960,1800, 968,1816, 976,1432, 984,1944, 992,1928, 1000,1944, 1008,1496, + 1016,2008, 1032,1152, 1040,1056, 1048,1568, 1064,1408, 1072,1120, + 1080,1632, 1088,1536, 1096,1160, 1104,1184, 1112,1696, 1120,1552, + 1128,1416, 1136,1248, 1144,1760, 1160,1664, 1168,1312, 1176,1824, + 1184,1544, 1192,1920, 1200,1376, 1208,1888, 1216,1568, 1224,1672, + 1232,1440, 1240,1952, 1248,1560, 1256,1928, 1264,1504, 1272,2016, + 1288,1312, 1296,1408, 1304,1576, 1320,1424, 1328,1416, 1336,1640, + 1344,1792, 1352,1824, 1360,1920, 1368,1704, 1376,1800, 1384,1432, + 1392,1928, 1400,1768, 1416,1680, 1432,1832, 1440,1576, 1448,1936, + 1456,1832, 1464,1896, 1472,1808, 1480,1688, 1488,1936, 1496,1960, + 1504,1816, 1512,1944, 1520,1944, 1528,2024, 1560,1584, 1592,1648, + 1600,1792, 1608,1920, 1616,1800, 1624,1712, 1632,1808, 1640,1936, + 1648,1816, 1656,1776, 1672,1696, 1688,1840, 1704,1952, 1712,1928, + 1720,1904, 1728,1824, 1736,1952, 1744,1832, 1752,1968, 1760,1840, + 1768,1960, 1776,1944, 1784,2032, 1864,1872, 1848,1944, 1872,1888, + 1880,1904, 1888,1984, 1896,2000, 1912,2032, 1904,2016, 1976,2032, + 1960,1968, 2008,2032, 1992,2016, 2024,2032 +}; + +const uint16_t armBitRevIndexTable512[ARMBITREVINDEXTABLE_512_TABLE_LENGTH] = +{ + /* radix 8, size 448 */ + 8,512, 16,1024, 24,1536, 32,2048, 40,2560, 48,3072, 56,3584, 72,576, + 80,1088, 88,1600, 96,2112, 104,2624, 112,3136, 120,3648, 136,640, 144,1152, + 152,1664, 160,2176, 168,2688, 176,3200, 184,3712, 200,704, 208,1216, + 216,1728, 224,2240, 232,2752, 240,3264, 248,3776, 264,768, 272,1280, + 280,1792, 288,2304, 296,2816, 304,3328, 312,3840, 328,832, 336,1344, + 344,1856, 352,2368, 360,2880, 368,3392, 376,3904, 392,896, 400,1408, + 408,1920, 416,2432, 424,2944, 432,3456, 440,3968, 456,960, 464,1472, + 472,1984, 480,2496, 488,3008, 496,3520, 504,4032, 528,1032, 536,1544, + 544,2056, 552,2568, 560,3080, 568,3592, 592,1096, 600,1608, 608,2120, + 616,2632, 624,3144, 632,3656, 656,1160, 664,1672, 672,2184, 680,2696, + 688,3208, 696,3720, 720,1224, 728,1736, 736,2248, 744,2760, 752,3272, + 760,3784, 784,1288, 792,1800, 800,2312, 808,2824, 816,3336, 824,3848, + 848,1352, 856,1864, 864,2376, 872,2888, 880,3400, 888,3912, 912,1416, + 920,1928, 928,2440, 936,2952, 944,3464, 952,3976, 976,1480, 984,1992, + 992,2504, 1000,3016, 1008,3528, 1016,4040, 1048,1552, 1056,2064, 1064,2576, + 1072,3088, 1080,3600, 1112,1616, 1120,2128, 1128,2640, 1136,3152, + 1144,3664, 1176,1680, 1184,2192, 1192,2704, 1200,3216, 1208,3728, + 1240,1744, 1248,2256, 1256,2768, 1264,3280, 1272,3792, 1304,1808, + 1312,2320, 1320,2832, 1328,3344, 1336,3856, 1368,1872, 1376,2384, + 1384,2896, 1392,3408, 1400,3920, 1432,1936, 1440,2448, 1448,2960, + 1456,3472, 1464,3984, 1496,2000, 1504,2512, 1512,3024, 1520,3536, + 1528,4048, 1568,2072, 1576,2584, 1584,3096, 1592,3608, 1632,2136, + 1640,2648, 1648,3160, 1656,3672, 1696,2200, 1704,2712, 1712,3224, + 1720,3736, 1760,2264, 1768,2776, 1776,3288, 1784,3800, 1824,2328, + 1832,2840, 1840,3352, 1848,3864, 1888,2392, 1896,2904, 1904,3416, + 1912,3928, 1952,2456, 1960,2968, 1968,3480, 1976,3992, 2016,2520, + 2024,3032, 2032,3544, 2040,4056, 2088,2592, 2096,3104, 2104,3616, + 2152,2656, 2160,3168, 2168,3680, 2216,2720, 2224,3232, 2232,3744, + 2280,2784, 2288,3296, 2296,3808, 2344,2848, 2352,3360, 2360,3872, + 2408,2912, 2416,3424, 2424,3936, 2472,2976, 2480,3488, 2488,4000, + 2536,3040, 2544,3552, 2552,4064, 2608,3112, 2616,3624, 2672,3176, + 2680,3688, 2736,3240, 2744,3752, 2800,3304, 2808,3816, 2864,3368, + 2872,3880, 2928,3432, 2936,3944, 2992,3496, 3000,4008, 3056,3560, + 3064,4072, 3128,3632, 3192,3696, 3256,3760, 3320,3824, 3384,3888, + 3448,3952, 3512,4016, 3576,4080 +}; + +const uint16_t armBitRevIndexTable1024[ARMBITREVINDEXTABLE_1024_TABLE_LENGTH] = +{ + /* 8x2, size 1800 */ + 8,4096, 16,512, 24,4608, 32,1024, 40,5120, 48,1536, 56,5632, 64,2048, + 72,6144, 80,2560, 88,6656, 96,3072, 104,7168, 112,3584, 120,7680, 128,2048, + 136,4160, 144,576, 152,4672, 160,1088, 168,5184, 176,1600, 184,5696, + 192,2112, 200,6208, 208,2624, 216,6720, 224,3136, 232,7232, 240,3648, + 248,7744, 256,2048, 264,4224, 272,640, 280,4736, 288,1152, 296,5248, + 304,1664, 312,5760, 320,2176, 328,6272, 336,2688, 344,6784, 352,3200, + 360,7296, 368,3712, 376,7808, 384,2112, 392,4288, 400,704, 408,4800, + 416,1216, 424,5312, 432,1728, 440,5824, 448,2240, 456,6336, 464,2752, + 472,6848, 480,3264, 488,7360, 496,3776, 504,7872, 512,2048, 520,4352, + 528,768, 536,4864, 544,1280, 552,5376, 560,1792, 568,5888, 576,2304, + 584,6400, 592,2816, 600,6912, 608,3328, 616,7424, 624,3840, 632,7936, + 640,2176, 648,4416, 656,832, 664,4928, 672,1344, 680,5440, 688,1856, + 696,5952, 704,2368, 712,6464, 720,2880, 728,6976, 736,3392, 744,7488, + 752,3904, 760,8000, 768,2112, 776,4480, 784,896, 792,4992, 800,1408, + 808,5504, 816,1920, 824,6016, 832,2432, 840,6528, 848,2944, 856,7040, + 864,3456, 872,7552, 880,3968, 888,8064, 896,2240, 904,4544, 912,960, + 920,5056, 928,1472, 936,5568, 944,1984, 952,6080, 960,2496, 968,6592, + 976,3008, 984,7104, 992,3520, 1000,7616, 1008,4032, 1016,8128, 1024,4096, + 1032,4104, 1040,4352, 1048,4616, 1056,4104, 1064,5128, 1072,1544, + 1080,5640, 1088,2056, 1096,6152, 1104,2568, 1112,6664, 1120,3080, + 1128,7176, 1136,3592, 1144,7688, 1152,6144, 1160,4168, 1168,6400, + 1176,4680, 1184,6152, 1192,5192, 1200,1608, 1208,5704, 1216,2120, + 1224,6216, 1232,2632, 1240,6728, 1248,3144, 1256,7240, 1264,3656, + 1272,7752, 1280,4160, 1288,4232, 1296,4416, 1304,4744, 1312,4168, + 1320,5256, 1328,1672, 1336,5768, 1344,2184, 1352,6280, 1360,2696, + 1368,6792, 1376,3208, 1384,7304, 1392,3720, 1400,7816, 1408,6208, + 1416,4296, 1424,6464, 1432,4808, 1440,6216, 1448,5320, 1456,1736, + 1464,5832, 1472,2248, 1480,6344, 1488,2760, 1496,6856, 1504,3272, + 1512,7368, 1520,3784, 1528,7880, 1536,4224, 1544,4360, 1552,4480, + 1560,4872, 1568,4232, 1576,5384, 1584,1800, 1592,5896, 1600,2312, + 1608,6408, 1616,2824, 1624,6920, 1632,3336, 1640,7432, 1648,3848, 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8,4096, 16,8192, 24,12288, 32,512, 40,4608, 48,8704, 56,12800, 64,1024, + 72,5120, 80,9216, 88,13312, 96,1536, 104,5632, 112,9728, 120,13824, + 128,2048, 136,6144, 144,10240, 152,14336, 160,2560, 168,6656, 176,10752, + 184,14848, 192,3072, 200,7168, 208,11264, 216,15360, 224,3584, 232,7680, + 240,11776, 248,15872, 256,1024, 264,4160, 272,8256, 280,12352, 288,576, + 296,4672, 304,8768, 312,12864, 320,1088, 328,5184, 336,9280, 344,13376, + 352,1600, 360,5696, 368,9792, 376,13888, 384,2112, 392,6208, 400,10304, + 408,14400, 416,2624, 424,6720, 432,10816, 440,14912, 448,3136, 456,7232, + 464,11328, 472,15424, 480,3648, 488,7744, 496,11840, 504,15936, 512,2048, + 520,4224, 528,8320, 536,12416, 544,640, 552,4736, 560,8832, 568,12928, + 576,1152, 584,5248, 592,9344, 600,13440, 608,1664, 616,5760, 624,9856, + 632,13952, 640,2176, 648,6272, 656,10368, 664,14464, 672,2688, 680,6784, + 688,10880, 696,14976, 704,3200, 712,7296, 720,11392, 728,15488, 736,3712, + 744,7808, 752,11904, 760,16000, 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13432,14128, 13448,13472, 13464,14640, 13480,15520, 13488,14536, + 13496,15152, 13504,13696, 13512,13536, 13520,13712, 13528,15664, + 13536,13704, 13544,15584, 13552,14792, 13560,16176, 13592,13616, + 13624,14680, 13656,13680, 13688,14192, 13704,13728, 13720,14704, + 13736,15776, 13744,15560, 13752,15216, 13768,13792, 13784,15728, + 13800,15840, 13808,15816, 13816,16240, 13824,15360, 13832,15488, + 13840,15368, 13848,15496, 13856,15376, 13864,15504, 13872,15384, + 13880,15512, 13888,15424, 13896,15552, 13904,15432, 13912,15560, + 13920,15440, 13928,15568, 13936,15448, 13944,14256, 13952,15392, + 13960,15520, 13968,15400, 13976,14768, 13984,15408, 13992,15528, + 14000,14552, 14008,15280, 14016,15456, 14024,15584, 14032,15464, + 14040,15792, 14048,15472, 14056,15592, 14064,14808, 14072,16304, + 14080,15616, 14088,15744, 14096,15624, 14104,15752, 14112,15632, + 14120,15760, 14128,15640, 14136,15768, 14144,15680, 14152,15808, + 14160,15688, 14168,15816, 14176,15696, 14184,15824, 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15784,15792, 15800,16304, 15848,15856, + 15880,16000, 15864,16248, 15888,16000, 15896,16008, 15904,16000, + 15912,16016, 15920,16008, 15928,16024, 15936,16128, 15944,16160, + 15952,16256, 15960,16288, 15968,16136, 15976,16168, 15984,16264, + 15992,16296, 16008,16032, 16024,16040, 16064,16144, 16040,16048, + 16072,16176, 16080,16272, 16088,16304, 16096,16152, 16104,16184, + 16112,16280, 16136,16256, 16120,16312, 16144,16256, 16152,16264, + 16160,16256, 16168,16272, 16176,16264, 16184,16280, 16200,16208, + 16208,16224, 16216,16240, 16224,16320, 16232,16336, 16240,16352, + 16248,16368, 16264,16288, 16280,16296, 16296,16304, 16344,16368, + 16328,16352, 16360,16368 +}; + +const uint16_t armBitRevIndexTable4096[ARMBITREVINDEXTABLE_4096_TABLE_LENGTH] = +{ + /* radix 8, size 4032 */ + 8,4096, 16,8192, 24,12288, 32,16384, 40,20480, 48,24576, 56,28672, 64,512, + 72,4608, 80,8704, 88,12800, 96,16896, 104,20992, 112,25088, 120,29184, + 128,1024, 136,5120, 144,9216, 152,13312, 160,17408, 168,21504, 176,25600, + 184,29696, 192,1536, 200,5632, 208,9728, 216,13824, 224,17920, 232,22016, + 240,26112, 248,30208, 256,2048, 264,6144, 272,10240, 280,14336, 288,18432, + 296,22528, 304,26624, 312,30720, 320,2560, 328,6656, 336,10752, 344,14848, + 352,18944, 360,23040, 368,27136, 376,31232, 384,3072, 392,7168, 400,11264, + 408,15360, 416,19456, 424,23552, 432,27648, 440,31744, 448,3584, 456,7680, + 464,11776, 472,15872, 480,19968, 488,24064, 496,28160, 504,32256, 520,4160, + 528,8256, 536,12352, 544,16448, 552,20544, 560,24640, 568,28736, 584,4672, + 592,8768, 600,12864, 608,16960, 616,21056, 624,25152, 632,29248, 640,1088, + 648,5184, 656,9280, 664,13376, 672,17472, 680,21568, 688,25664, 696,29760, + 704,1600, 712,5696, 720,9792, 728,13888, 736,17984, 744,22080, 752,26176, + 760,30272, 768,2112, 776,6208, 784,10304, 792,14400, 800,18496, 808,22592, + 816,26688, 824,30784, 832,2624, 840,6720, 848,10816, 856,14912, 864,19008, + 872,23104, 880,27200, 888,31296, 896,3136, 904,7232, 912,11328, 920,15424, + 928,19520, 936,23616, 944,27712, 952,31808, 960,3648, 968,7744, 976,11840, + 984,15936, 992,20032, 1000,24128, 1008,28224, 1016,32320, 1032,4224, + 1040,8320, 1048,12416, 1056,16512, 1064,20608, 1072,24704, 1080,28800, + 1096,4736, 1104,8832, 1112,12928, 1120,17024, 1128,21120, 1136,25216, + 1144,29312, 1160,5248, 1168,9344, 1176,13440, 1184,17536, 1192,21632, + 1200,25728, 1208,29824, 1216,1664, 1224,5760, 1232,9856, 1240,13952, + 1248,18048, 1256,22144, 1264,26240, 1272,30336, 1280,2176, 1288,6272, + 1296,10368, 1304,14464, 1312,18560, 1320,22656, 1328,26752, 1336,30848, + 1344,2688, 1352,6784, 1360,10880, 1368,14976, 1376,19072, 1384,23168, + 1392,27264, 1400,31360, 1408,3200, 1416,7296, 1424,11392, 1432,15488, + 1440,19584, 1448,23680, 1456,27776, 1464,31872, 1472,3712, 1480,7808, + 1488,11904, 1496,16000, 1504,20096, 1512,24192, 1520,28288, 1528,32384, + 1544,4288, 1552,8384, 1560,12480, 1568,16576, 1576,20672, 1584,24768, + 1592,28864, 1608,4800, 1616,8896, 1624,12992, 1632,17088, 1640,21184, + 1648,25280, 1656,29376, 1672,5312, 1680,9408, 1688,13504, 1696,17600, + 1704,21696, 1712,25792, 1720,29888, 1736,5824, 1744,9920, 1752,14016, + 1760,18112, 1768,22208, 1776,26304, 1784,30400, 1792,2240, 1800,6336, + 1808,10432, 1816,14528, 1824,18624, 1832,22720, 1840,26816, 1848,30912, + 1856,2752, 1864,6848, 1872,10944, 1880,15040, 1888,19136, 1896,23232, + 1904,27328, 1912,31424, 1920,3264, 1928,7360, 1936,11456, 1944,15552, + 1952,19648, 1960,23744, 1968,27840, 1976,31936, 1984,3776, 1992,7872, + 2000,11968, 2008,16064, 2016,20160, 2024,24256, 2032,28352, 2040,32448, + 2056,4352, 2064,8448, 2072,12544, 2080,16640, 2088,20736, 2096,24832, + 2104,28928, 2120,4864, 2128,8960, 2136,13056, 2144,17152, 2152,21248, + 2160,25344, 2168,29440, 2184,5376, 2192,9472, 2200,13568, 2208,17664, + 2216,21760, 2224,25856, 2232,29952, 2248,5888, 2256,9984, 2264,14080, + 2272,18176, 2280,22272, 2288,26368, 2296,30464, 2312,6400, 2320,10496, + 2328,14592, 2336,18688, 2344,22784, 2352,26880, 2360,30976, 2368,2816, + 2376,6912, 2384,11008, 2392,15104, 2400,19200, 2408,23296, 2416,27392, + 2424,31488, 2432,3328, 2440,7424, 2448,11520, 2456,15616, 2464,19712, + 2472,23808, 2480,27904, 2488,32000, 2496,3840, 2504,7936, 2512,12032, + 2520,16128, 2528,20224, 2536,24320, 2544,28416, 2552,32512, 2568,4416, + 2576,8512, 2584,12608, 2592,16704, 2600,20800, 2608,24896, 2616,28992, + 2632,4928, 2640,9024, 2648,13120, 2656,17216, 2664,21312, 2672,25408, + 2680,29504, 2696,5440, 2704,9536, 2712,13632, 2720,17728, 2728,21824, + 2736,25920, 2744,30016, 2760,5952, 2768,10048, 2776,14144, 2784,18240, + 2792,22336, 2800,26432, 2808,30528, 2824,6464, 2832,10560, 2840,14656, + 2848,18752, 2856,22848, 2864,26944, 2872,31040, 2888,6976, 2896,11072, + 2904,15168, 2912,19264, 2920,23360, 2928,27456, 2936,31552, 2944,3392, + 2952,7488, 2960,11584, 2968,15680, 2976,19776, 2984,23872, 2992,27968, + 3000,32064, 3008,3904, 3016,8000, 3024,12096, 3032,16192, 3040,20288, + 3048,24384, 3056,28480, 3064,32576, 3080,4480, 3088,8576, 3096,12672, + 3104,16768, 3112,20864, 3120,24960, 3128,29056, 3144,4992, 3152,9088, + 3160,13184, 3168,17280, 3176,21376, 3184,25472, 3192,29568, 3208,5504, + 3216,9600, 3224,13696, 3232,17792, 3240,21888, 3248,25984, 3256,30080, + 3272,6016, 3280,10112, 3288,14208, 3296,18304, 3304,22400, 3312,26496, + 3320,30592, 3336,6528, 3344,10624, 3352,14720, 3360,18816, 3368,22912, + 3376,27008, 3384,31104, 3400,7040, 3408,11136, 3416,15232, 3424,19328, + 3432,23424, 3440,27520, 3448,31616, 3464,7552, 3472,11648, 3480,15744, + 3488,19840, 3496,23936, 3504,28032, 3512,32128, 3520,3968, 3528,8064, + 3536,12160, 3544,16256, 3552,20352, 3560,24448, 3568,28544, 3576,32640, + 3592,4544, 3600,8640, 3608,12736, 3616,16832, 3624,20928, 3632,25024, + 3640,29120, 3656,5056, 3664,9152, 3672,13248, 3680,17344, 3688,21440, + 3696,25536, 3704,29632, 3720,5568, 3728,9664, 3736,13760, 3744,17856, + 3752,21952, 3760,26048, 3768,30144, 3784,6080, 3792,10176, 3800,14272, + 3808,18368, 3816,22464, 3824,26560, 3832,30656, 3848,6592, 3856,10688, + 3864,14784, 3872,18880, 3880,22976, 3888,27072, 3896,31168, 3912,7104, + 3920,11200, 3928,15296, 3936,19392, 3944,23488, 3952,27584, 3960,31680, + 3976,7616, 3984,11712, 3992,15808, 4000,19904, 4008,24000, 4016,28096, + 4024,32192, 4040,8128, 4048,12224, 4056,16320, 4064,20416, 4072,24512, + 4080,28608, 4088,32704, 4112,8200, 4120,12296, 4128,16392, 4136,20488, + 4144,24584, 4152,28680, 4168,4616, 4176,8712, 4184,12808, 4192,16904, + 4200,21000, 4208,25096, 4216,29192, 4232,5128, 4240,9224, 4248,13320, + 4256,17416, 4264,21512, 4272,25608, 4280,29704, 4296,5640, 4304,9736, + 4312,13832, 4320,17928, 4328,22024, 4336,26120, 4344,30216, 4360,6152, + 4368,10248, 4376,14344, 4384,18440, 4392,22536, 4400,26632, 4408,30728, + 4424,6664, 4432,10760, 4440,14856, 4448,18952, 4456,23048, 4464,27144, + 4472,31240, 4488,7176, 4496,11272, 4504,15368, 4512,19464, 4520,23560, + 4528,27656, 4536,31752, 4552,7688, 4560,11784, 4568,15880, 4576,19976, + 4584,24072, 4592,28168, 4600,32264, 4624,8264, 4632,12360, 4640,16456, + 4648,20552, 4656,24648, 4664,28744, 4688,8776, 4696,12872, 4704,16968, + 4712,21064, 4720,25160, 4728,29256, 4744,5192, 4752,9288, 4760,13384, + 4768,17480, 4776,21576, 4784,25672, 4792,29768, 4808,5704, 4816,9800, + 4824,13896, 4832,17992, 4840,22088, 4848,26184, 4856,30280, 4872,6216, + 4880,10312, 4888,14408, 4896,18504, 4904,22600, 4912,26696, 4920,30792, + 4936,6728, 4944,10824, 4952,14920, 4960,19016, 4968,23112, 4976,27208, + 4984,31304, 5000,7240, 5008,11336, 5016,15432, 5024,19528, 5032,23624, + 5040,27720, 5048,31816, 5064,7752, 5072,11848, 5080,15944, 5088,20040, + 5096,24136, 5104,28232, 5112,32328, 5136,8328, 5144,12424, 5152,16520, + 5160,20616, 5168,24712, 5176,28808, 5200,8840, 5208,12936, 5216,17032, + 5224,21128, 5232,25224, 5240,29320, 5264,9352, 5272,13448, 5280,17544, + 5288,21640, 5296,25736, 5304,29832, 5320,5768, 5328,9864, 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24824,30256, 24880,26672, 24888,30768, + 24944,27184, 24952,31280, 25008,27696, 25016,31792, 25072,28208, + 25080,32304, 25144,28784, 25208,29296, 25264,25712, 25272,29808, + 25328,26224, 25336,30320, 25392,26736, 25400,30832, 25456,27248, + 25464,31344, 25520,27760, 25528,31856, 25584,28272, 25592,32368, + 25656,28848, 25720,29360, 25784,29872, 25840,26288, 25848,30384, + 25904,26800, 25912,30896, 25968,27312, 25976,31408, 26032,27824, + 26040,31920, 26096,28336, 26104,32432, 26168,28912, 26232,29424, + 26296,29936, 26360,30448, 26416,26864, 26424,30960, 26480,27376, + 26488,31472, 26544,27888, 26552,31984, 26608,28400, 26616,32496, + 26680,28976, 26744,29488, 26808,30000, 26872,30512, 26936,31024, + 26992,27440, 27000,31536, 27056,27952, 27064,32048, 27120,28464, + 27128,32560, 27192,29040, 27256,29552, 27320,30064, 27384,30576, + 27448,31088, 27512,31600, 27568,28016, 27576,32112, 27632,28528, + 27640,32624, 27704,29104, 27768,29616, 27832,30128, 27896,30640, + 27960,31152, 28024,31664, 28088,32176, 28144,28592, 28152,32688, + 28216,29168, 28280,29680, 28344,30192, 28408,30704, 28472,31216, + 28536,31728, 28600,32240, 28664,32752, 28792,29240, 28856,29752, + 28920,30264, 28984,30776, 29048,31288, 29112,31800, 29176,32312, + 29368,29816, 29432,30328, 29496,30840, 29560,31352, 29624,31864, + 29688,32376, 29944,30392, 30008,30904, 30072,31416, 30136,31928, + 30200,32440, 30520,30968, 30584,31480, 30648,31992, 30712,32504, + 31096,31544, 31160,32056, 31224,32568, 31672,32120, 31736,32632, + 32248,32696 +}; + + +const uint16_t armBitRevIndexTable_fixed_16[ARMBITREVINDEXTABLE_FIXED_16_TABLE_LENGTH] = +{ + /* radix 4, size 12 */ + 8,64, 16,32, 24,96, 40,80, 56,112, 88,104 +}; + +const uint16_t armBitRevIndexTable_fixed_32[ARMBITREVINDEXTABLE_FIXED_32_TABLE_LENGTH] = +{ + /* 4x2, size 24 */ + 8,128, 16,64, 24,192, 40,160, 48,96, 56,224, 72,144, + 88,208, 104,176, 120,240, 152,200, 184,232 +}; + +const uint16_t armBitRevIndexTable_fixed_64[ARMBITREVINDEXTABLE_FIXED_64_TABLE_LENGTH] = +{ + /* radix 4, size 56 */ + 8,256, 16,128, 24,384, 32,64, 40,320, 48,192, 56,448, 72,288, 80,160, 88,416, 104,352, + 112,224, 120,480, 136,272, 152,400, 168,336, 176,208, 184,464, 200,304, 216,432, + 232,368, 248,496, 280,392, 296,328, 312,456, 344,424, 376,488, 440,472 +}; + +const uint16_t armBitRevIndexTable_fixed_128[ARMBITREVINDEXTABLE_FIXED_128_TABLE_LENGTH] = +{ + /* 4x2, size 112 */ + 8,512, 16,256, 24,768, 32,128, 40,640, 48,384, 56,896, 72,576, 80,320, 88,832, 96,192, + 104,704, 112,448, 120,960, 136,544, 144,288, 152,800, 168,672, 176,416, 184,928, 200,608, + 208,352, 216,864, 232,736, 240,480, 248,992, 264,528, 280,784, 296,656, 304,400, 312,912, + 328,592, 344,848, 360,720, 368,464, 376,976, 392,560, 408,816, 424,688, 440,944, 456,624, + 472,880, 488,752, 504,1008, 536,776, 552,648, 568,904, 600,840, 616,712, 632,968, + 664,808, 696,936, 728,872, 760,1000, 824,920, 888,984 +}; + +const uint16_t armBitRevIndexTable_fixed_256[ARMBITREVINDEXTABLE_FIXED_256_TABLE_LENGTH] = +{ + /* radix 4, size 240 */ + 8,1024, 16,512, 24,1536, 32,256, 40,1280, 48,768, 56,1792, 64,128, 72,1152, 80,640, + 88,1664, 96,384, 104,1408, 112,896, 120,1920, 136,1088, 144,576, 152,1600, 160,320, + 168,1344, 176,832, 184,1856, 200,1216, 208,704, 216,1728, 224,448, 232,1472, 240,960, + 248,1984, 264,1056, 272,544, 280,1568, 296,1312, 304,800, 312,1824, 328,1184, 336,672, + 344,1696, 352,416, 360,1440, 368,928, 376,1952, 392,1120, 400,608, 408,1632, 424,1376, + 432,864, 440,1888, 456,1248, 464,736, 472,1760, 488,1504, 496,992, 504,2016, 520,1040, + 536,1552, 552,1296, 560,784, 568,1808, 584,1168, 592,656, 600,1680, 616,1424, 624,912, + 632,1936, 648,1104, 664,1616, 680,1360, 688,848, 696,1872, 712,1232, 728,1744, 744,1488, + 752,976, 760,2000, 776,1072, 792,1584, 808,1328, 824,1840, 840,1200, 856,1712, 872,1456, + 880,944, 888,1968, 904,1136, 920,1648, 936,1392, 952,1904, 968,1264, 984,1776, 1000,1520, + 1016,2032, 1048,1544, 1064,1288, 1080,1800, 1096,1160, 1112,1672, 1128,1416, 1144,1928, + 1176,1608, 1192,1352, 1208,1864, 1240,1736, 1256,1480, 1272,1992, 1304,1576, 1336,1832, + 1368,1704, 1384,1448, 1400,1960, 1432,1640, 1464,1896, 1496,1768, 1528,2024, 1592,1816, + 1624,1688, 1656,1944, 1720,1880, 1784,2008, 1912,1976 +}; + +const uint16_t armBitRevIndexTable_fixed_512[ARMBITREVINDEXTABLE_FIXED_512_TABLE_LENGTH] = +{ + /* 4x2, size 480 */ + 8,2048, 16,1024, 24,3072, 32,512, 40,2560, 48,1536, 56,3584, 64,256, 72,2304, 80,1280, + 88,3328, 96,768, 104,2816, 112,1792, 120,3840, 136,2176, 144,1152, 152,3200, 160,640, + 168,2688, 176,1664, 184,3712, 192,384, 200,2432, 208,1408, 216,3456, 224,896, 232,2944, + 240,1920, 248,3968, 264,2112, 272,1088, 280,3136, 288,576, 296,2624, 304,1600, 312,3648, + 328,2368, 336,1344, 344,3392, 352,832, 360,2880, 368,1856, 376,3904, 392,2240, 400,1216, + 408,3264, 416,704, 424,2752, 432,1728, 440,3776, 456,2496, 464,1472, 472,3520, 480,960, + 488,3008, 496,1984, 504,4032, 520,2080, 528,1056, 536,3104, 552,2592, 560,1568, 568,3616, + 584,2336, 592,1312, 600,3360, 608,800, 616,2848, 624,1824, 632,3872, 648,2208, 656,1184, + 664,3232, 680,2720, 688,1696, 696,3744, 712,2464, 720,1440, 728,3488, 736,928, 744,2976, + 752,1952, 760,4000, 776,2144, 784,1120, 792,3168, 808,2656, 816,1632, 824,3680, 840,2400, + 848,1376, 856,3424, 872,2912, 880,1888, 888,3936, 904,2272, 912,1248, 920,3296, 936,2784, + 944,1760, 952,3808, 968,2528, 976,1504, 984,3552, 1000,3040, 1008,2016, 1016,4064, + 1032,2064, 1048,3088, 1064,2576, 1072,1552, 1080,3600, 1096,2320, 1104,1296, 1112,3344, + 1128,2832, 1136,1808, 1144,3856, 1160,2192, 1176,3216, 1192,2704, 1200,1680, 1208,3728, + 1224,2448, 1232,1424, 1240,3472, 1256,2960, 1264,1936, 1272,3984, 1288,2128, 1304,3152, + 1320,2640, 1328,1616, 1336,3664, 1352,2384, 1368,3408, 1384,2896, 1392,1872, 1400,3920, + 1416,2256, 1432,3280, 1448,2768, 1456,1744, 1464,3792, 1480,2512, 1496,3536, 1512,3024, + 1520,2000, 1528,4048, 1544,2096, 1560,3120, 1576,2608, 1592,3632, 1608,2352, 1624,3376, + 1640,2864, 1648,1840, 1656,3888, 1672,2224, 1688,3248, 1704,2736, 1720,3760, 1736,2480, + 1752,3504, 1768,2992, 1776,1968, 1784,4016, 1800,2160, 1816,3184, 1832,2672, 1848,3696, + 1864,2416, 1880,3440, 1896,2928, 1912,3952, 1928,2288, 1944,3312, 1960,2800, 1976,3824, + 1992,2544, 2008,3568, 2024,3056, 2040,4080, 2072,3080, 2088,2568, 2104,3592, 2120,2312, + 2136,3336, 2152,2824, 2168,3848, 2200,3208, 2216,2696, 2232,3720, 2248,2440, 2264,3464, + 2280,2952, 2296,3976, 2328,3144, 2344,2632, 2360,3656, 2392,3400, 2408,2888, 2424,3912, + 2456,3272, 2472,2760, 2488,3784, 2520,3528, 2536,3016, 2552,4040, 2584,3112, 2616,3624, + 2648,3368, 2664,2856, 2680,3880, 2712,3240, 2744,3752, 2776,3496, 2792,2984, 2808,4008, + 2840,3176, 2872,3688, 2904,3432, 2936,3944, 2968,3304, 3000,3816, 3032,3560, 3064,4072, + 3128,3608, 3160,3352, 3192,3864, 3256,3736, 3288,3480, 3320,3992, 3384,3672, 3448,3928, + 3512,3800, 3576,4056, 3704,3896, 3832,4024 +}; + +const uint16_t armBitRevIndexTable_fixed_1024[ARMBITREVINDEXTABLE_FIXED_1024_TABLE_LENGTH] = +{ + /* radix 4, size 992 */ + 8,4096, 16,2048, 24,6144, 32,1024, 40,5120, 48,3072, 56,7168, 64,512, 72,4608, + 80,2560, 88,6656, 96,1536, 104,5632, 112,3584, 120,7680, 128,256, 136,4352, + 144,2304, 152,6400, 160,1280, 168,5376, 176,3328, 184,7424, 192,768, 200,4864, + 208,2816, 216,6912, 224,1792, 232,5888, 240,3840, 248,7936, 264,4224, 272,2176, + 280,6272, 288,1152, 296,5248, 304,3200, 312,7296, 320,640, 328,4736, 336,2688, + 344,6784, 352,1664, 360,5760, 368,3712, 376,7808, 392,4480, 400,2432, 408,6528, + 416,1408, 424,5504, 432,3456, 440,7552, 448,896, 456,4992, 464,2944, 472,7040, + 480,1920, 488,6016, 496,3968, 504,8064, 520,4160, 528,2112, 536,6208, 544,1088, + 552,5184, 560,3136, 568,7232, 584,4672, 592,2624, 600,6720, 608,1600, 616,5696, + 624,3648, 632,7744, 648,4416, 656,2368, 664,6464, 672,1344, 680,5440, 688,3392, + 696,7488, 704,832, 712,4928, 720,2880, 728,6976, 736,1856, 744,5952, 752,3904, + 760,8000, 776,4288, 784,2240, 792,6336, 800,1216, 808,5312, 816,3264, 824,7360, + 840,4800, 848,2752, 856,6848, 864,1728, 872,5824, 880,3776, 888,7872, 904,4544, + 912,2496, 920,6592, 928,1472, 936,5568, 944,3520, 952,7616, 968,5056, 976,3008, + 984,7104, 992,1984, 1000,6080, 1008,4032, 1016,8128, 1032,4128, 1040,2080, + 1048,6176, 1064,5152, 1072,3104, 1080,7200, 1096,4640, 1104,2592, 1112,6688, + 1120,1568, 1128,5664, 1136,3616, 1144,7712, 1160,4384, 1168,2336, 1176,6432, + 1184,1312, 1192,5408, 1200,3360, 1208,7456, 1224,4896, 1232,2848, 1240,6944, + 1248,1824, 1256,5920, 1264,3872, 1272,7968, 1288,4256, 1296,2208, 1304,6304, + 1320,5280, 1328,3232, 1336,7328, 1352,4768, 1360,2720, 1368,6816, 1376,1696, + 1384,5792, 1392,3744, 1400,7840, 1416,4512, 1424,2464, 1432,6560, 1448,5536, + 1456,3488, 1464,7584, 1480,5024, 1488,2976, 1496,7072, 1504,1952, 1512,6048, + 1520,4000, 1528,8096, 1544,4192, 1552,2144, 1560,6240, 1576,5216, 1584,3168, + 1592,7264, 1608,4704, 1616,2656, 1624,6752, 1640,5728, 1648,3680, 1656,7776, + 1672,4448, 1680,2400, 1688,6496, 1704,5472, 1712,3424, 1720,7520, 1736,4960, + 1744,2912, 1752,7008, 1760,1888, 1768,5984, 1776,3936, 1784,8032, 1800,4320, + 1808,2272, 1816,6368, 1832,5344, 1840,3296, 1848,7392, 1864,4832, 1872,2784, + 1880,6880, 1896,5856, 1904,3808, 1912,7904, 1928,4576, 1936,2528, 1944,6624, + 1960,5600, 1968,3552, 1976,7648, 1992,5088, 2000,3040, 2008,7136, 2024,6112, + 2032,4064, 2040,8160, 2056,4112, 2072,6160, 2088,5136, 2096,3088, 2104,7184, + 2120,4624, 2128,2576, 2136,6672, 2152,5648, 2160,3600, 2168,7696, 2184,4368, + 2192,2320, 2200,6416, 2216,5392, 2224,3344, 2232,7440, 2248,4880, 2256,2832, + 2264,6928, 2280,5904, 2288,3856, 2296,7952, 2312,4240, 2328,6288, 2344,5264, + 2352,3216, 2360,7312, 2376,4752, 2384,2704, 2392,6800, 2408,5776, 2416,3728, + 2424,7824, 2440,4496, 2456,6544, 2472,5520, 2480,3472, 2488,7568, 2504,5008, + 2512,2960, 2520,7056, 2536,6032, 2544,3984, 2552,8080, 2568,4176, 2584,6224, + 2600,5200, 2608,3152, 2616,7248, 2632,4688, 2648,6736, 2664,5712, 2672,3664, + 2680,7760, 2696,4432, 2712,6480, 2728,5456, 2736,3408, 2744,7504, 2760,4944, + 2768,2896, 2776,6992, 2792,5968, 2800,3920, 2808,8016, 2824,4304, 2840,6352, + 2856,5328, 2864,3280, 2872,7376, 2888,4816, 2904,6864, 2920,5840, 2928,3792, + 2936,7888, 2952,4560, 2968,6608, 2984,5584, 2992,3536, 3000,7632, 3016,5072, + 3032,7120, 3048,6096, 3056,4048, 3064,8144, 3080,4144, 3096,6192, 3112,5168, + 3128,7216, 3144,4656, 3160,6704, 3176,5680, 3184,3632, 3192,7728, 3208,4400, + 3224,6448, 3240,5424, 3248,3376, 3256,7472, 3272,4912, 3288,6960, 3304,5936, + 3312,3888, 3320,7984, 3336,4272, 3352,6320, 3368,5296, 3384,7344, 3400,4784, + 3416,6832, 3432,5808, 3440,3760, 3448,7856, 3464,4528, 3480,6576, 3496,5552, + 3512,7600, 3528,5040, 3544,7088, 3560,6064, 3568,4016, 3576,8112, 3592,4208, + 3608,6256, 3624,5232, 3640,7280, 3656,4720, 3672,6768, 3688,5744, 3704,7792, + 3720,4464, 3736,6512, 3752,5488, 3768,7536, 3784,4976, 3800,7024, 3816,6000, + 3824,3952, 3832,8048, 3848,4336, 3864,6384, 3880,5360, 3896,7408, 3912,4848, + 3928,6896, 3944,5872, 3960,7920, 3976,4592, 3992,6640, 4008,5616, 4024,7664, + 4040,5104, 4056,7152, 4072,6128, 4088,8176, 4120,6152, 4136,5128, 4152,7176, + 4168,4616, 4184,6664, 4200,5640, 4216,7688, 4232,4360, 4248,6408, 4264,5384, + 4280,7432, 4296,4872, 4312,6920, 4328,5896, 4344,7944, 4376,6280, 4392,5256, + 4408,7304, 4424,4744, 4440,6792, 4456,5768, 4472,7816, 4504,6536, 4520,5512, + 4536,7560, 4552,5000, 4568,7048, 4584,6024, 4600,8072, 4632,6216, 4648,5192, + 4664,7240, 4696,6728, 4712,5704, 4728,7752, 4760,6472, 4776,5448, 4792,7496, + 4808,4936, 4824,6984, 4840,5960, 4856,8008, 4888,6344, 4904,5320, 4920,7368, + 4952,6856, 4968,5832, 4984,7880, 5016,6600, 5032,5576, 5048,7624, 5080,7112, + 5096,6088, 5112,8136, 5144,6184, 5176,7208, 5208,6696, 5224,5672, 5240,7720, + 5272,6440, 5288,5416, 5304,7464, 5336,6952, 5352,5928, 5368,7976, 5400,6312, + 5432,7336, 5464,6824, 5480,5800, 5496,7848, 5528,6568, 5560,7592, 5592,7080, + 5608,6056, 5624,8104, 5656,6248, 5688,7272, 5720,6760, 5752,7784, 5784,6504, + 5816,7528, 5848,7016, 5864,5992, 5880,8040, 5912,6376, 5944,7400, 5976,6888, + 6008,7912, 6040,6632, 6072,7656, 6104,7144, 6136,8168, 6200,7192, 6232,6680, + 6264,7704, 6296,6424, 6328,7448, 6360,6936, 6392,7960, 6456,7320, 6488,6808, + 6520,7832, 6584,7576, 6616,7064, 6648,8088, 6712,7256, 6776,7768, 6840,7512, + 6872,7000, 6904,8024, 6968,7384, 7032,7896, 7096,7640, 7160,8152, 7288,7736, + 7352,7480, 7416,7992, 7544,7864, 7672,8120, 7928,8056 +}; + +const uint16_t armBitRevIndexTable_fixed_2048[ARMBITREVINDEXTABLE_FIXED_2048_TABLE_LENGTH] = +{ + /* 4x2, size 1984 */ + 8,8192, 16,4096, 24,12288, 32,2048, 40,10240, 48,6144, 56,14336, 64,1024, + 72,9216, 80,5120, 88,13312, 96,3072, 104,11264, 112,7168, 120,15360, 128,512, + 136,8704, 144,4608, 152,12800, 160,2560, 168,10752, 176,6656, 184,14848, + 192,1536, 200,9728, 208,5632, 216,13824, 224,3584, 232,11776, 240,7680, + 248,15872, 264,8448, 272,4352, 280,12544, 288,2304, 296,10496, 304,6400, + 312,14592, 320,1280, 328,9472, 336,5376, 344,13568, 352,3328, 360,11520, + 368,7424, 376,15616, 384,768, 392,8960, 400,4864, 408,13056, 416,2816, + 424,11008, 432,6912, 440,15104, 448,1792, 456,9984, 464,5888, 472,14080, + 480,3840, 488,12032, 496,7936, 504,16128, 520,8320, 528,4224, 536,12416, + 544,2176, 552,10368, 560,6272, 568,14464, 576,1152, 584,9344, 592,5248, + 600,13440, 608,3200, 616,11392, 624,7296, 632,15488, 648,8832, 656,4736, + 664,12928, 672,2688, 680,10880, 688,6784, 696,14976, 704,1664, 712,9856, + 720,5760, 728,13952, 736,3712, 744,11904, 752,7808, 760,16000, 776,8576, + 784,4480, 792,12672, 800,2432, 808,10624, 816,6528, 824,14720, 832,1408, + 840,9600, 848,5504, 856,13696, 864,3456, 872,11648, 880,7552, 888,15744, + 904,9088, 912,4992, 920,13184, 928,2944, 936,11136, 944,7040, 952,15232, + 960,1920, 968,10112, 976,6016, 984,14208, 992,3968, 1000,12160, 1008,8064, + 1016,16256, 1032,8256, 1040,4160, 1048,12352, 1056,2112, 1064,10304, 1072,6208, + 1080,14400, 1096,9280, 1104,5184, 1112,13376, 1120,3136, 1128,11328, 1136,7232, + 1144,15424, 1160,8768, 1168,4672, 1176,12864, 1184,2624, 1192,10816, 1200,6720, + 1208,14912, 1216,1600, 1224,9792, 1232,5696, 1240,13888, 1248,3648, 1256,11840, + 1264,7744, 1272,15936, 1288,8512, 1296,4416, 1304,12608, 1312,2368, 1320,10560, + 1328,6464, 1336,14656, 1352,9536, 1360,5440, 1368,13632, 1376,3392, 1384,11584, + 1392,7488, 1400,15680, 1416,9024, 1424,4928, 1432,13120, 1440,2880, 1448,11072, + 1456,6976, 1464,15168, 1472,1856, 1480,10048, 1488,5952, 1496,14144, 1504,3904, + 1512,12096, 1520,8000, 1528,16192, 1544,8384, 1552,4288, 1560,12480, 1568,2240, + 1576,10432, 1584,6336, 1592,14528, 1608,9408, 1616,5312, 1624,13504, 1632,3264, + 1640,11456, 1648,7360, 1656,15552, 1672,8896, 1680,4800, 1688,12992, 1696,2752, + 1704,10944, 1712,6848, 1720,15040, 1736,9920, 1744,5824, 1752,14016, 1760,3776, + 1768,11968, 1776,7872, 1784,16064, 1800,8640, 1808,4544, 1816,12736, 1824,2496, + 1832,10688, 1840,6592, 1848,14784, 1864,9664, 1872,5568, 1880,13760, 1888,3520, + 1896,11712, 1904,7616, 1912,15808, 1928,9152, 1936,5056, 1944,13248, 1952,3008, + 1960,11200, 1968,7104, 1976,15296, 1992,10176, 2000,6080, 2008,14272, 2016,4032, + 2024,12224, 2032,8128, 2040,16320, 2056,8224, 2064,4128, 2072,12320, 2088,10272, + 2096,6176, 2104,14368, 2120,9248, 2128,5152, 2136,13344, 2144,3104, 2152,11296, + 2160,7200, 2168,15392, 2184,8736, 2192,4640, 2200,12832, 2208,2592, 2216,10784, + 2224,6688, 2232,14880, 2248,9760, 2256,5664, 2264,13856, 2272,3616, 2280,11808, + 2288,7712, 2296,15904, 2312,8480, 2320,4384, 2328,12576, 2344,10528, 2352,6432, + 2360,14624, 2376,9504, 2384,5408, 2392,13600, 2400,3360, 2408,11552, 2416,7456, + 2424,15648, 2440,8992, 2448,4896, 2456,13088, 2464,2848, 2472,11040, 2480,6944, + 2488,15136, 2504,10016, 2512,5920, 2520,14112, 2528,3872, 2536,12064, 2544,7968, + 2552,16160, 2568,8352, 2576,4256, 2584,12448, 2600,10400, 2608,6304, 2616,14496, + 2632,9376, 2640,5280, 2648,13472, 2656,3232, 2664,11424, 2672,7328, 2680,15520, + 2696,8864, 2704,4768, 2712,12960, 2728,10912, 2736,6816, 2744,15008, 2760,9888, + 2768,5792, 2776,13984, 2784,3744, 2792,11936, 2800,7840, 2808,16032, 2824,8608, + 2832,4512, 2840,12704, 2856,10656, 2864,6560, 2872,14752, 2888,9632, 2896,5536, + 2904,13728, 2912,3488, 2920,11680, 2928,7584, 2936,15776, 2952,9120, 2960,5024, + 2968,13216, 2984,11168, 2992,7072, 3000,15264, 3016,10144, 3024,6048, + 3032,14240, 3040,4000, 3048,12192, 3056,8096, 3064,16288, 3080,8288, 3088,4192, + 3096,12384, 3112,10336, 3120,6240, 3128,14432, 3144,9312, 3152,5216, 3160,13408, + 3176,11360, 3184,7264, 3192,15456, 3208,8800, 3216,4704, 3224,12896, 3240,10848, + 3248,6752, 3256,14944, 3272,9824, 3280,5728, 3288,13920, 3296,3680, 3304,11872, + 3312,7776, 3320,15968, 3336,8544, 3344,4448, 3352,12640, 3368,10592, 3376,6496, + 3384,14688, 3400,9568, 3408,5472, 3416,13664, 3432,11616, 3440,7520, 3448,15712, + 3464,9056, 3472,4960, 3480,13152, 3496,11104, 3504,7008, 3512,15200, 3528,10080, + 3536,5984, 3544,14176, 3552,3936, 3560,12128, 3568,8032, 3576,16224, 3592,8416, + 3600,4320, 3608,12512, 3624,10464, 3632,6368, 3640,14560, 3656,9440, 3664,5344, + 3672,13536, 3688,11488, 3696,7392, 3704,15584, 3720,8928, 3728,4832, 3736,13024, + 3752,10976, 3760,6880, 3768,15072, 3784,9952, 3792,5856, 3800,14048, 3816,12000, + 3824,7904, 3832,16096, 3848,8672, 3856,4576, 3864,12768, 3880,10720, 3888,6624, + 3896,14816, 3912,9696, 3920,5600, 3928,13792, 3944,11744, 3952,7648, 3960,15840, + 3976,9184, 3984,5088, 3992,13280, 4008,11232, 4016,7136, 4024,15328, 4040,10208, + 4048,6112, 4056,14304, 4072,12256, 4080,8160, 4088,16352, 4104,8208, 4120,12304, + 4136,10256, 4144,6160, 4152,14352, 4168,9232, 4176,5136, 4184,13328, 4200,11280, + 4208,7184, 4216,15376, 4232,8720, 4240,4624, 4248,12816, 4264,10768, 4272,6672, + 4280,14864, 4296,9744, 4304,5648, 4312,13840, 4328,11792, 4336,7696, 4344,15888, + 4360,8464, 4376,12560, 4392,10512, 4400,6416, 4408,14608, 4424,9488, 4432,5392, + 4440,13584, 4456,11536, 4464,7440, 4472,15632, 4488,8976, 4496,4880, 4504,13072, + 4520,11024, 4528,6928, 4536,15120, 4552,10000, 4560,5904, 4568,14096, + 4584,12048, 4592,7952, 4600,16144, 4616,8336, 4632,12432, 4648,10384, 4656,6288, + 4664,14480, 4680,9360, 4688,5264, 4696,13456, 4712,11408, 4720,7312, 4728,15504, + 4744,8848, 4760,12944, 4776,10896, 4784,6800, 4792,14992, 4808,9872, 4816,5776, + 4824,13968, 4840,11920, 4848,7824, 4856,16016, 4872,8592, 4888,12688, + 4904,10640, 4912,6544, 4920,14736, 4936,9616, 4944,5520, 4952,13712, 4968,11664, + 4976,7568, 4984,15760, 5000,9104, 5016,13200, 5032,11152, 5040,7056, 5048,15248, + 5064,10128, 5072,6032, 5080,14224, 5096,12176, 5104,8080, 5112,16272, 5128,8272, + 5144,12368, 5160,10320, 5168,6224, 5176,14416, 5192,9296, 5208,13392, + 5224,11344, 5232,7248, 5240,15440, 5256,8784, 5272,12880, 5288,10832, 5296,6736, + 5304,14928, 5320,9808, 5328,5712, 5336,13904, 5352,11856, 5360,7760, 5368,15952, + 5384,8528, 5400,12624, 5416,10576, 5424,6480, 5432,14672, 5448,9552, 5464,13648, + 5480,11600, 5488,7504, 5496,15696, 5512,9040, 5528,13136, 5544,11088, 5552,6992, + 5560,15184, 5576,10064, 5584,5968, 5592,14160, 5608,12112, 5616,8016, + 5624,16208, 5640,8400, 5656,12496, 5672,10448, 5680,6352, 5688,14544, 5704,9424, + 5720,13520, 5736,11472, 5744,7376, 5752,15568, 5768,8912, 5784,13008, + 5800,10960, 5808,6864, 5816,15056, 5832,9936, 5848,14032, 5864,11984, 5872,7888, + 5880,16080, 5896,8656, 5912,12752, 5928,10704, 5936,6608, 5944,14800, 5960,9680, + 5976,13776, 5992,11728, 6000,7632, 6008,15824, 6024,9168, 6040,13264, + 6056,11216, 6064,7120, 6072,15312, 6088,10192, 6104,14288, 6120,12240, + 6128,8144, 6136,16336, 6152,8240, 6168,12336, 6184,10288, 6200,14384, 6216,9264, + 6232,13360, 6248,11312, 6256,7216, 6264,15408, 6280,8752, 6296,12848, + 6312,10800, 6320,6704, 6328,14896, 6344,9776, 6360,13872, 6376,11824, 6384,7728, + 6392,15920, 6408,8496, 6424,12592, 6440,10544, 6456,14640, 6472,9520, + 6488,13616, 6504,11568, 6512,7472, 6520,15664, 6536,9008, 6552,13104, + 6568,11056, 6576,6960, 6584,15152, 6600,10032, 6616,14128, 6632,12080, + 6640,7984, 6648,16176, 6664,8368, 6680,12464, 6696,10416, 6712,14512, 6728,9392, + 6744,13488, 6760,11440, 6768,7344, 6776,15536, 6792,8880, 6808,12976, + 6824,10928, 6840,15024, 6856,9904, 6872,14000, 6888,11952, 6896,7856, + 6904,16048, 6920,8624, 6936,12720, 6952,10672, 6968,14768, 6984,9648, + 7000,13744, 7016,11696, 7024,7600, 7032,15792, 7048,9136, 7064,13232, + 7080,11184, 7096,15280, 7112,10160, 7128,14256, 7144,12208, 7152,8112, + 7160,16304, 7176,8304, 7192,12400, 7208,10352, 7224,14448, 7240,9328, + 7256,13424, 7272,11376, 7288,15472, 7304,8816, 7320,12912, 7336,10864, + 7352,14960, 7368,9840, 7384,13936, 7400,11888, 7408,7792, 7416,15984, 7432,8560, + 7448,12656, 7464,10608, 7480,14704, 7496,9584, 7512,13680, 7528,11632, + 7544,15728, 7560,9072, 7576,13168, 7592,11120, 7608,15216, 7624,10096, + 7640,14192, 7656,12144, 7664,8048, 7672,16240, 7688,8432, 7704,12528, + 7720,10480, 7736,14576, 7752,9456, 7768,13552, 7784,11504, 7800,15600, + 7816,8944, 7832,13040, 7848,10992, 7864,15088, 7880,9968, 7896,14064, + 7912,12016, 7928,16112, 7944,8688, 7960,12784, 7976,10736, 7992,14832, + 8008,9712, 8024,13808, 8040,11760, 8056,15856, 8072,9200, 8088,13296, + 8104,11248, 8120,15344, 8136,10224, 8152,14320, 8168,12272, 8184,16368, + 8216,12296, 8232,10248, 8248,14344, 8264,9224, 8280,13320, 8296,11272, + 8312,15368, 8328,8712, 8344,12808, 8360,10760, 8376,14856, 8392,9736, + 8408,13832, 8424,11784, 8440,15880, 8472,12552, 8488,10504, 8504,14600, + 8520,9480, 8536,13576, 8552,11528, 8568,15624, 8584,8968, 8600,13064, + 8616,11016, 8632,15112, 8648,9992, 8664,14088, 8680,12040, 8696,16136, + 8728,12424, 8744,10376, 8760,14472, 8776,9352, 8792,13448, 8808,11400, + 8824,15496, 8856,12936, 8872,10888, 8888,14984, 8904,9864, 8920,13960, + 8936,11912, 8952,16008, 8984,12680, 9000,10632, 9016,14728, 9032,9608, + 9048,13704, 9064,11656, 9080,15752, 9112,13192, 9128,11144, 9144,15240, + 9160,10120, 9176,14216, 9192,12168, 9208,16264, 9240,12360, 9256,10312, + 9272,14408, 9304,13384, 9320,11336, 9336,15432, 9368,12872, 9384,10824, + 9400,14920, 9416,9800, 9432,13896, 9448,11848, 9464,15944, 9496,12616, + 9512,10568, 9528,14664, 9560,13640, 9576,11592, 9592,15688, 9624,13128, + 9640,11080, 9656,15176, 9672,10056, 9688,14152, 9704,12104, 9720,16200, + 9752,12488, 9768,10440, 9784,14536, 9816,13512, 9832,11464, 9848,15560, + 9880,13000, 9896,10952, 9912,15048, 9944,14024, 9960,11976, 9976,16072, + 10008,12744, 10024,10696, 10040,14792, 10072,13768, 10088,11720, 10104,15816, + 10136,13256, 10152,11208, 10168,15304, 10200,14280, 10216,12232, 10232,16328, + 10264,12328, 10296,14376, 10328,13352, 10344,11304, 10360,15400, 10392,12840, + 10408,10792, 10424,14888, 10456,13864, 10472,11816, 10488,15912, 10520,12584, + 10552,14632, 10584,13608, 10600,11560, 10616,15656, 10648,13096, 10664,11048, + 10680,15144, 10712,14120, 10728,12072, 10744,16168, 10776,12456, 10808,14504, + 10840,13480, 10856,11432, 10872,15528, 10904,12968, 10936,15016, 10968,13992, + 10984,11944, 11000,16040, 11032,12712, 11064,14760, 11096,13736, 11112,11688, + 11128,15784, 11160,13224, 11192,15272, 11224,14248, 11240,12200, 11256,16296, + 11288,12392, 11320,14440, 11352,13416, 11384,15464, 11416,12904, 11448,14952, + 11480,13928, 11496,11880, 11512,15976, 11544,12648, 11576,14696, 11608,13672, + 11640,15720, 11672,13160, 11704,15208, 11736,14184, 11752,12136, 11768,16232, + 11800,12520, 11832,14568, 11864,13544, 11896,15592, 11928,13032, 11960,15080, + 11992,14056, 12024,16104, 12056,12776, 12088,14824, 12120,13800, 12152,15848, + 12184,13288, 12216,15336, 12248,14312, 12280,16360, 12344,14360, 12376,13336, + 12408,15384, 12440,12824, 12472,14872, 12504,13848, 12536,15896, 12600,14616, + 12632,13592, 12664,15640, 12696,13080, 12728,15128, 12760,14104, 12792,16152, + 12856,14488, 12888,13464, 12920,15512, 12984,15000, 13016,13976, 13048,16024, + 13112,14744, 13144,13720, 13176,15768, 13240,15256, 13272,14232, 13304,16280, + 13368,14424, 13432,15448, 13496,14936, 13528,13912, 13560,15960, 13624,14680, + 13688,15704, 13752,15192, 13784,14168, 13816,16216, 13880,14552, 13944,15576, + 14008,15064, 14072,16088, 14136,14808, 14200,15832, 14264,15320, 14328,16344, + 14456,15416, 14520,14904, 14584,15928, 14712,15672, 14776,15160, 14840,16184, + 14968,15544, 15096,16056, 15224,15800, 15352,16312, 15608,15992, 15864,16248 +}; + +const uint16_t armBitRevIndexTable_fixed_4096[ARMBITREVINDEXTABLE_FIXED_4096_TABLE_LENGTH] = +{ + /* radix 4, size 4032 */ + 8,16384, 16,8192, 24,24576, 32,4096, 40,20480, 48,12288, 56,28672, 64,2048, + 72,18432, 80,10240, 88,26624, 96,6144, 104,22528, 112,14336, 120,30720, + 128,1024, 136,17408, 144,9216, 152,25600, 160,5120, 168,21504, 176,13312, + 184,29696, 192,3072, 200,19456, 208,11264, 216,27648, 224,7168, 232,23552, + 240,15360, 248,31744, 256,512, 264,16896, 272,8704, 280,25088, 288,4608, + 296,20992, 304,12800, 312,29184, 320,2560, 328,18944, 336,10752, 344,27136, + 352,6656, 360,23040, 368,14848, 376,31232, 384,1536, 392,17920, 400,9728, + 408,26112, 416,5632, 424,22016, 432,13824, 440,30208, 448,3584, 456,19968, + 464,11776, 472,28160, 480,7680, 488,24064, 496,15872, 504,32256, 520,16640, + 528,8448, 536,24832, 544,4352, 552,20736, 560,12544, 568,28928, 576,2304, + 584,18688, 592,10496, 600,26880, 608,6400, 616,22784, 624,14592, 632,30976, + 640,1280, 648,17664, 656,9472, 664,25856, 672,5376, 680,21760, 688,13568, + 696,29952, 704,3328, 712,19712, 720,11520, 728,27904, 736,7424, 744,23808, + 752,15616, 760,32000, 776,17152, 784,8960, 792,25344, 800,4864, 808,21248, + 816,13056, 824,29440, 832,2816, 840,19200, 848,11008, 856,27392, 864,6912, + 872,23296, 880,15104, 888,31488, 896,1792, 904,18176, 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14392,28784, 14408,18544, 14424,26736, 14440,22640, 14456,30832, 14472,17520, + 14488,25712, 14504,21616, 14520,29808, 14536,19568, 14552,27760, 14568,23664, + 14576,15472, 14584,31856, 14600,17008, 14616,25200, 14632,21104, 14648,29296, + 14664,19056, 14680,27248, 14696,23152, 14704,14960, 14712,31344, 14728,18032, + 14744,26224, 14760,22128, 14776,30320, 14792,20080, 14808,28272, 14824,24176, + 14832,15984, 14840,32368, 14856,16752, 14872,24944, 14888,20848, 14904,29040, + 14920,18800, 14936,26992, 14952,22896, 14968,31088, 14984,17776, 15000,25968, + 15016,21872, 15032,30064, 15048,19824, 15064,28016, 15080,23920, 15088,15728, + 15096,32112, 15112,17264, 15128,25456, 15144,21360, 15160,29552, 15176,19312, + 15192,27504, 15208,23408, 15224,31600, 15240,18288, 15256,26480, 15272,22384, + 15288,30576, 15304,20336, 15320,28528, 15336,24432, 15344,16240, 15352,32624, + 15368,16624, 15384,24816, 15400,20720, 15416,28912, 15432,18672, 15448,26864, + 15464,22768, 15480,30960, 15496,17648, 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16712,18952, 16728,27144, 16744,23048, 16760,31240, 16776,17928, 16792,26120, + 16808,22024, 16824,30216, 16840,19976, 16856,28168, 16872,24072, 16888,32264, + 16920,24840, 16936,20744, 16952,28936, 16968,18696, 16984,26888, 17000,22792, + 17016,30984, 17032,17672, 17048,25864, 17064,21768, 17080,29960, 17096,19720, + 17112,27912, 17128,23816, 17144,32008, 17176,25352, 17192,21256, 17208,29448, + 17224,19208, 17240,27400, 17256,23304, 17272,31496, 17288,18184, 17304,26376, + 17320,22280, 17336,30472, 17352,20232, 17368,28424, 17384,24328, 17400,32520, + 17432,24712, 17448,20616, 17464,28808, 17480,18568, 17496,26760, 17512,22664, + 17528,30856, 17560,25736, 17576,21640, 17592,29832, 17608,19592, 17624,27784, + 17640,23688, 17656,31880, 17688,25224, 17704,21128, 17720,29320, 17736,19080, + 17752,27272, 17768,23176, 17784,31368, 17800,18056, 17816,26248, 17832,22152, + 17848,30344, 17864,20104, 17880,28296, 17896,24200, 17912,32392, 17944,24968, + 17960,20872, 17976,29064, 17992,18824, 18008,27016, 18024,22920, 18040,31112, + 18072,25992, 18088,21896, 18104,30088, 18120,19848, 18136,28040, 18152,23944, + 18168,32136, 18200,25480, 18216,21384, 18232,29576, 18248,19336, 18264,27528, + 18280,23432, 18296,31624, 18328,26504, 18344,22408, 18360,30600, 18376,20360, + 18392,28552, 18408,24456, 18424,32648, 18456,24648, 18472,20552, 18488,28744, + 18520,26696, 18536,22600, 18552,30792, 18584,25672, 18600,21576, 18616,29768, + 18632,19528, 18648,27720, 18664,23624, 18680,31816, 18712,25160, 18728,21064, + 18744,29256, 18760,19016, 18776,27208, 18792,23112, 18808,31304, 18840,26184, + 18856,22088, 18872,30280, 18888,20040, 18904,28232, 18920,24136, 18936,32328, + 18968,24904, 18984,20808, 19000,29000, 19032,26952, 19048,22856, 19064,31048, + 19096,25928, 19112,21832, 19128,30024, 19144,19784, 19160,27976, 19176,23880, + 19192,32072, 19224,25416, 19240,21320, 19256,29512, 19288,27464, 19304,23368, + 19320,31560, 19352,26440, 19368,22344, 19384,30536, 19400,20296, 19416,28488, + 19432,24392, 19448,32584, 19480,24776, 19496,20680, 19512,28872, 19544,26824, + 19560,22728, 19576,30920, 19608,25800, 19624,21704, 19640,29896, 19672,27848, + 19688,23752, 19704,31944, 19736,25288, 19752,21192, 19768,29384, 19800,27336, + 19816,23240, 19832,31432, 19864,26312, 19880,22216, 19896,30408, 19912,20168, + 19928,28360, 19944,24264, 19960,32456, 19992,25032, 20008,20936, 20024,29128, + 20056,27080, 20072,22984, 20088,31176, 20120,26056, 20136,21960, 20152,30152, + 20184,28104, 20200,24008, 20216,32200, 20248,25544, 20264,21448, 20280,29640, + 20312,27592, 20328,23496, 20344,31688, 20376,26568, 20392,22472, 20408,30664, + 20440,28616, 20456,24520, 20472,32712, 20504,24616, 20536,28712, 20568,26664, + 20584,22568, 20600,30760, 20632,25640, 20648,21544, 20664,29736, 20696,27688, + 20712,23592, 20728,31784, 20760,25128, 20776,21032, 20792,29224, 20824,27176, + 20840,23080, 20856,31272, 20888,26152, 20904,22056, 20920,30248, 20952,28200, + 20968,24104, 20984,32296, 21016,24872, 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22904,31336, 22936,26216, 22968,30312, 23000,28264, 23016,24168, 23032,32360, + 23064,24936, 23096,29032, 23128,26984, 23160,31080, 23192,25960, 23224,30056, + 23256,28008, 23272,23912, 23288,32104, 23320,25448, 23352,29544, 23384,27496, + 23416,31592, 23448,26472, 23480,30568, 23512,28520, 23528,24424, 23544,32616, + 23576,24808, 23608,28904, 23640,26856, 23672,30952, 23704,25832, 23736,29928, + 23768,27880, 23800,31976, 23832,25320, 23864,29416, 23896,27368, 23928,31464, + 23960,26344, 23992,30440, 24024,28392, 24040,24296, 24056,32488, 24088,25064, + 24120,29160, 24152,27112, 24184,31208, 24216,26088, 24248,30184, 24280,28136, + 24312,32232, 24344,25576, 24376,29672, 24408,27624, 24440,31720, 24472,26600, + 24504,30696, 24536,28648, 24568,32744, 24632,28696, 24664,26648, 24696,30744, + 24728,25624, 24760,29720, 24792,27672, 24824,31768, 24856,25112, 24888,29208, + 24920,27160, 24952,31256, 24984,26136, 25016,30232, 25048,28184, 25080,32280, + 25144,28952, 25176,26904, 25208,31000, 25240,25880, 25272,29976, 25304,27928, + 25336,32024, 25400,29464, 25432,27416, 25464,31512, 25496,26392, 25528,30488, + 25560,28440, 25592,32536, 25656,28824, 25688,26776, 25720,30872, 25784,29848, + 25816,27800, 25848,31896, 25912,29336, 25944,27288, 25976,31384, 26008,26264, + 26040,30360, 26072,28312, 26104,32408, 26168,29080, 26200,27032, 26232,31128, + 26296,30104, 26328,28056, 26360,32152, 26424,29592, 26456,27544, 26488,31640, + 26552,30616, 26584,28568, 26616,32664, 26680,28760, 26744,30808, 26808,29784, + 26840,27736, 26872,31832, 26936,29272, 26968,27224, 27000,31320, 27064,30296, + 27096,28248, 27128,32344, 27192,29016, 27256,31064, 27320,30040, 27352,27992, + 27384,32088, 27448,29528, 27512,31576, 27576,30552, 27608,28504, 27640,32600, + 27704,28888, 27768,30936, 27832,29912, 27896,31960, 27960,29400, 28024,31448, + 28088,30424, 28120,28376, 28152,32472, 28216,29144, 28280,31192, 28344,30168, + 28408,32216, 28472,29656, 28536,31704, 28600,30680, 28664,32728, 28792,30776, + 28856,29752, 28920,31800, 28984,29240, 29048,31288, 29112,30264, 29176,32312, + 29304,31032, 29368,30008, 29432,32056, 29560,31544, 29624,30520, 29688,32568, + 29816,30904, 29944,31928, 30072,31416, 30136,30392, 30200,32440, 30328,31160, + 30456,32184, 30584,31672, 30712,32696, 30968,31864, 31096,31352, 31224,32376, + 31480,32120, 31736,32632, 32248,32504 +}; + +/** +* \par +* Example code for Floating-point RFFT Twiddle factors Generation: +* \par +*
TW = exp(2*pi*i*[0:L/2-1]/L - pi/2*i).' 
+* \par +* Real and Imag values are in interleaved fashion +*/ +const float32_t twiddleCoef_rfft_32[32] = { + 0.000000000f, 1.000000000f, + 0.195090322f, 0.980785280f, + 0.382683432f, 0.923879533f, + 0.555570233f, 0.831469612f, + 0.707106781f, 0.707106781f, + 0.831469612f, 0.555570233f, + 0.923879533f, 0.382683432f, + 0.980785280f, 0.195090322f, + 1.000000000f, 0.000000000f, + 0.980785280f, -0.195090322f, + 0.923879533f, -0.382683432f, + 0.831469612f, -0.555570233f, + 0.707106781f, -0.707106781f, + 0.555570233f, -0.831469612f, + 0.382683432f, -0.923879533f, + 0.195090322f, -0.980785280f +}; + +const float32_t twiddleCoef_rfft_64[64] = { + 0.000000000000000f, 1.000000000000000f, + 0.098017140329561f, 0.995184726672197f, + 0.195090322016128f, 0.980785280403230f, + 0.290284677254462f, 0.956940335732209f, + 0.382683432365090f, 0.923879532511287f, + 0.471396736825998f, 0.881921264348355f, + 0.555570233019602f, 0.831469612302545f, + 0.634393284163645f, 0.773010453362737f, + 0.707106781186547f, 0.707106781186548f, + 0.773010453362737f, 0.634393284163645f, + 0.831469612302545f, 0.555570233019602f, + 0.881921264348355f, 0.471396736825998f, + 0.923879532511287f, 0.382683432365090f, + 0.956940335732209f, 0.290284677254462f, + 0.980785280403230f, 0.195090322016128f, + 0.995184726672197f, 0.098017140329561f, + 1.000000000000000f, 0.000000000000000f, + 0.995184726672197f, -0.098017140329561f, + 0.980785280403230f, -0.195090322016128f, + 0.956940335732209f, -0.290284677254462f, + 0.923879532511287f, -0.382683432365090f, + 0.881921264348355f, -0.471396736825998f, + 0.831469612302545f, -0.555570233019602f, + 0.773010453362737f, -0.634393284163645f, + 0.707106781186548f, -0.707106781186547f, + 0.634393284163645f, -0.773010453362737f, + 0.555570233019602f, -0.831469612302545f, + 0.471396736825998f, -0.881921264348355f, + 0.382683432365090f, -0.923879532511287f, + 0.290284677254462f, -0.956940335732209f, + 0.195090322016129f, -0.980785280403230f, + 0.098017140329561f, -0.995184726672197f +}; + +const float32_t twiddleCoef_rfft_128[128] = { + 0.000000000f, 1.000000000f, + 0.049067674f, 0.998795456f, + 0.098017140f, 0.995184727f, + 0.146730474f, 0.989176510f, + 0.195090322f, 0.980785280f, + 0.242980180f, 0.970031253f, + 0.290284677f, 0.956940336f, + 0.336889853f, 0.941544065f, + 0.382683432f, 0.923879533f, + 0.427555093f, 0.903989293f, + 0.471396737f, 0.881921264f, + 0.514102744f, 0.857728610f, + 0.555570233f, 0.831469612f, + 0.595699304f, 0.803207531f, + 0.634393284f, 0.773010453f, + 0.671558955f, 0.740951125f, + 0.707106781f, 0.707106781f, + 0.740951125f, 0.671558955f, + 0.773010453f, 0.634393284f, + 0.803207531f, 0.595699304f, + 0.831469612f, 0.555570233f, + 0.857728610f, 0.514102744f, + 0.881921264f, 0.471396737f, + 0.903989293f, 0.427555093f, + 0.923879533f, 0.382683432f, + 0.941544065f, 0.336889853f, + 0.956940336f, 0.290284677f, + 0.970031253f, 0.242980180f, + 0.980785280f, 0.195090322f, + 0.989176510f, 0.146730474f, + 0.995184727f, 0.098017140f, + 0.998795456f, 0.049067674f, + 1.000000000f, 0.000000000f, + 0.998795456f, -0.049067674f, + 0.995184727f, -0.098017140f, + 0.989176510f, -0.146730474f, + 0.980785280f, -0.195090322f, + 0.970031253f, -0.242980180f, + 0.956940336f, -0.290284677f, + 0.941544065f, -0.336889853f, + 0.923879533f, -0.382683432f, + 0.903989293f, -0.427555093f, + 0.881921264f, -0.471396737f, + 0.857728610f, -0.514102744f, + 0.831469612f, -0.555570233f, + 0.803207531f, -0.595699304f, + 0.773010453f, -0.634393284f, + 0.740951125f, -0.671558955f, + 0.707106781f, -0.707106781f, + 0.671558955f, -0.740951125f, + 0.634393284f, -0.773010453f, + 0.595699304f, -0.803207531f, + 0.555570233f, -0.831469612f, + 0.514102744f, -0.857728610f, + 0.471396737f, -0.881921264f, + 0.427555093f, -0.903989293f, + 0.382683432f, -0.923879533f, + 0.336889853f, -0.941544065f, + 0.290284677f, -0.956940336f, + 0.242980180f, -0.970031253f, + 0.195090322f, -0.980785280f, + 0.146730474f, -0.989176510f, + 0.098017140f, -0.995184727f, + 0.049067674f, -0.998795456f +}; + +const float32_t twiddleCoef_rfft_256[256] = { + 0.000000000f, 1.000000000f, + 0.024541229f, 0.999698819f, + 0.049067674f, 0.998795456f, + 0.073564564f, 0.997290457f, + 0.098017140f, 0.995184727f, + 0.122410675f, 0.992479535f, + 0.146730474f, 0.989176510f, + 0.170961889f, 0.985277642f, + 0.195090322f, 0.980785280f, + 0.219101240f, 0.975702130f, + 0.242980180f, 0.970031253f, + 0.266712757f, 0.963776066f, + 0.290284677f, 0.956940336f, + 0.313681740f, 0.949528181f, + 0.336889853f, 0.941544065f, + 0.359895037f, 0.932992799f, + 0.382683432f, 0.923879533f, + 0.405241314f, 0.914209756f, + 0.427555093f, 0.903989293f, + 0.449611330f, 0.893224301f, + 0.471396737f, 0.881921264f, + 0.492898192f, 0.870086991f, + 0.514102744f, 0.857728610f, + 0.534997620f, 0.844853565f, + 0.555570233f, 0.831469612f, + 0.575808191f, 0.817584813f, + 0.595699304f, 0.803207531f, + 0.615231591f, 0.788346428f, + 0.634393284f, 0.773010453f, + 0.653172843f, 0.757208847f, + 0.671558955f, 0.740951125f, + 0.689540545f, 0.724247083f, + 0.707106781f, 0.707106781f, + 0.724247083f, 0.689540545f, + 0.740951125f, 0.671558955f, + 0.757208847f, 0.653172843f, + 0.773010453f, 0.634393284f, + 0.788346428f, 0.615231591f, + 0.803207531f, 0.595699304f, + 0.817584813f, 0.575808191f, + 0.831469612f, 0.555570233f, + 0.844853565f, 0.534997620f, + 0.857728610f, 0.514102744f, + 0.870086991f, 0.492898192f, + 0.881921264f, 0.471396737f, + 0.893224301f, 0.449611330f, + 0.903989293f, 0.427555093f, + 0.914209756f, 0.405241314f, + 0.923879533f, 0.382683432f, + 0.932992799f, 0.359895037f, + 0.941544065f, 0.336889853f, + 0.949528181f, 0.313681740f, + 0.956940336f, 0.290284677f, + 0.963776066f, 0.266712757f, + 0.970031253f, 0.242980180f, + 0.975702130f, 0.219101240f, + 0.980785280f, 0.195090322f, + 0.985277642f, 0.170961889f, + 0.989176510f, 0.146730474f, + 0.992479535f, 0.122410675f, + 0.995184727f, 0.098017140f, + 0.997290457f, 0.073564564f, + 0.998795456f, 0.049067674f, + 0.999698819f, 0.024541229f, + 1.000000000f, 0.000000000f, + 0.999698819f, -0.024541229f, + 0.998795456f, -0.049067674f, + 0.997290457f, -0.073564564f, + 0.995184727f, -0.098017140f, + 0.992479535f, -0.122410675f, + 0.989176510f, -0.146730474f, + 0.985277642f, -0.170961889f, + 0.980785280f, -0.195090322f, + 0.975702130f, -0.219101240f, + 0.970031253f, -0.242980180f, + 0.963776066f, -0.266712757f, + 0.956940336f, -0.290284677f, + 0.949528181f, -0.313681740f, + 0.941544065f, -0.336889853f, + 0.932992799f, -0.359895037f, + 0.923879533f, -0.382683432f, + 0.914209756f, -0.405241314f, + 0.903989293f, -0.427555093f, + 0.893224301f, -0.449611330f, + 0.881921264f, -0.471396737f, + 0.870086991f, -0.492898192f, + 0.857728610f, -0.514102744f, + 0.844853565f, -0.534997620f, + 0.831469612f, -0.555570233f, + 0.817584813f, -0.575808191f, + 0.803207531f, -0.595699304f, + 0.788346428f, -0.615231591f, + 0.773010453f, -0.634393284f, + 0.757208847f, -0.653172843f, + 0.740951125f, -0.671558955f, + 0.724247083f, -0.689540545f, + 0.707106781f, -0.707106781f, + 0.689540545f, -0.724247083f, + 0.671558955f, -0.740951125f, + 0.653172843f, -0.757208847f, + 0.634393284f, -0.773010453f, + 0.615231591f, -0.788346428f, + 0.595699304f, -0.803207531f, + 0.575808191f, -0.817584813f, + 0.555570233f, -0.831469612f, + 0.534997620f, -0.844853565f, + 0.514102744f, -0.857728610f, + 0.492898192f, -0.870086991f, + 0.471396737f, -0.881921264f, + 0.449611330f, -0.893224301f, + 0.427555093f, -0.903989293f, + 0.405241314f, -0.914209756f, + 0.382683432f, -0.923879533f, + 0.359895037f, -0.932992799f, + 0.336889853f, -0.941544065f, + 0.313681740f, -0.949528181f, + 0.290284677f, -0.956940336f, + 0.266712757f, -0.963776066f, + 0.242980180f, -0.970031253f, + 0.219101240f, -0.975702130f, + 0.195090322f, -0.980785280f, + 0.170961889f, -0.985277642f, + 0.146730474f, -0.989176510f, + 0.122410675f, -0.992479535f, + 0.098017140f, -0.995184727f, + 0.073564564f, -0.997290457f, + 0.049067674f, -0.998795456f, + 0.024541229f, -0.999698819f +}; + +const float32_t twiddleCoef_rfft_512[512] = { + 0.000000000f, 1.000000000f, + 0.012271538f, 0.999924702f, + 0.024541229f, 0.999698819f, + 0.036807223f, 0.999322385f, + 0.049067674f, 0.998795456f, + 0.061320736f, 0.998118113f, + 0.073564564f, 0.997290457f, + 0.085797312f, 0.996312612f, + 0.098017140f, 0.995184727f, + 0.110222207f, 0.993906970f, + 0.122410675f, 0.992479535f, + 0.134580709f, 0.990902635f, + 0.146730474f, 0.989176510f, + 0.158858143f, 0.987301418f, + 0.170961889f, 0.985277642f, + 0.183039888f, 0.983105487f, + 0.195090322f, 0.980785280f, + 0.207111376f, 0.978317371f, + 0.219101240f, 0.975702130f, + 0.231058108f, 0.972939952f, + 0.242980180f, 0.970031253f, + 0.254865660f, 0.966976471f, + 0.266712757f, 0.963776066f, + 0.278519689f, 0.960430519f, + 0.290284677f, 0.956940336f, + 0.302005949f, 0.953306040f, + 0.313681740f, 0.949528181f, + 0.325310292f, 0.945607325f, + 0.336889853f, 0.941544065f, + 0.348418680f, 0.937339012f, + 0.359895037f, 0.932992799f, + 0.371317194f, 0.928506080f, + 0.382683432f, 0.923879533f, + 0.393992040f, 0.919113852f, + 0.405241314f, 0.914209756f, + 0.416429560f, 0.909167983f, + 0.427555093f, 0.903989293f, + 0.438616239f, 0.898674466f, + 0.449611330f, 0.893224301f, + 0.460538711f, 0.887639620f, + 0.471396737f, 0.881921264f, + 0.482183772f, 0.876070094f, + 0.492898192f, 0.870086991f, + 0.503538384f, 0.863972856f, + 0.514102744f, 0.857728610f, + 0.524589683f, 0.851355193f, + 0.534997620f, 0.844853565f, + 0.545324988f, 0.838224706f, + 0.555570233f, 0.831469612f, + 0.565731811f, 0.824589303f, + 0.575808191f, 0.817584813f, + 0.585797857f, 0.810457198f, + 0.595699304f, 0.803207531f, + 0.605511041f, 0.795836905f, + 0.615231591f, 0.788346428f, + 0.624859488f, 0.780737229f, + 0.634393284f, 0.773010453f, + 0.643831543f, 0.765167266f, + 0.653172843f, 0.757208847f, + 0.662415778f, 0.749136395f, + 0.671558955f, 0.740951125f, + 0.680600998f, 0.732654272f, + 0.689540545f, 0.724247083f, + 0.698376249f, 0.715730825f, + 0.707106781f, 0.707106781f, + 0.715730825f, 0.698376249f, + 0.724247083f, 0.689540545f, + 0.732654272f, 0.680600998f, + 0.740951125f, 0.671558955f, + 0.749136395f, 0.662415778f, + 0.757208847f, 0.653172843f, + 0.765167266f, 0.643831543f, + 0.773010453f, 0.634393284f, + 0.780737229f, 0.624859488f, + 0.788346428f, 0.615231591f, + 0.795836905f, 0.605511041f, + 0.803207531f, 0.595699304f, + 0.810457198f, 0.585797857f, + 0.817584813f, 0.575808191f, + 0.824589303f, 0.565731811f, + 0.831469612f, 0.555570233f, + 0.838224706f, 0.545324988f, + 0.844853565f, 0.534997620f, + 0.851355193f, 0.524589683f, + 0.857728610f, 0.514102744f, + 0.863972856f, 0.503538384f, + 0.870086991f, 0.492898192f, + 0.876070094f, 0.482183772f, + 0.881921264f, 0.471396737f, + 0.887639620f, 0.460538711f, + 0.893224301f, 0.449611330f, + 0.898674466f, 0.438616239f, + 0.903989293f, 0.427555093f, + 0.909167983f, 0.416429560f, + 0.914209756f, 0.405241314f, + 0.919113852f, 0.393992040f, + 0.923879533f, 0.382683432f, + 0.928506080f, 0.371317194f, + 0.932992799f, 0.359895037f, + 0.937339012f, 0.348418680f, + 0.941544065f, 0.336889853f, + 0.945607325f, 0.325310292f, + 0.949528181f, 0.313681740f, + 0.953306040f, 0.302005949f, + 0.956940336f, 0.290284677f, + 0.960430519f, 0.278519689f, + 0.963776066f, 0.266712757f, + 0.966976471f, 0.254865660f, + 0.970031253f, 0.242980180f, + 0.972939952f, 0.231058108f, + 0.975702130f, 0.219101240f, + 0.978317371f, 0.207111376f, + 0.980785280f, 0.195090322f, + 0.983105487f, 0.183039888f, + 0.985277642f, 0.170961889f, + 0.987301418f, 0.158858143f, + 0.989176510f, 0.146730474f, + 0.990902635f, 0.134580709f, + 0.992479535f, 0.122410675f, + 0.993906970f, 0.110222207f, + 0.995184727f, 0.098017140f, + 0.996312612f, 0.085797312f, + 0.997290457f, 0.073564564f, + 0.998118113f, 0.061320736f, + 0.998795456f, 0.049067674f, + 0.999322385f, 0.036807223f, + 0.999698819f, 0.024541229f, + 0.999924702f, 0.012271538f, + 1.000000000f, 0.000000000f, + 0.999924702f, -0.012271538f, + 0.999698819f, -0.024541229f, + 0.999322385f, -0.036807223f, + 0.998795456f, -0.049067674f, + 0.998118113f, -0.061320736f, + 0.997290457f, -0.073564564f, + 0.996312612f, -0.085797312f, + 0.995184727f, -0.098017140f, + 0.993906970f, -0.110222207f, + 0.992479535f, -0.122410675f, + 0.990902635f, -0.134580709f, + 0.989176510f, -0.146730474f, + 0.987301418f, -0.158858143f, + 0.985277642f, -0.170961889f, + 0.983105487f, -0.183039888f, + 0.980785280f, -0.195090322f, + 0.978317371f, -0.207111376f, + 0.975702130f, -0.219101240f, + 0.972939952f, -0.231058108f, + 0.970031253f, -0.242980180f, + 0.966976471f, -0.254865660f, + 0.963776066f, -0.266712757f, + 0.960430519f, -0.278519689f, + 0.956940336f, -0.290284677f, + 0.953306040f, -0.302005949f, + 0.949528181f, -0.313681740f, + 0.945607325f, -0.325310292f, + 0.941544065f, -0.336889853f, + 0.937339012f, -0.348418680f, + 0.932992799f, -0.359895037f, + 0.928506080f, -0.371317194f, + 0.923879533f, -0.382683432f, + 0.919113852f, -0.393992040f, + 0.914209756f, -0.405241314f, + 0.909167983f, -0.416429560f, + 0.903989293f, -0.427555093f, + 0.898674466f, -0.438616239f, + 0.893224301f, -0.449611330f, + 0.887639620f, -0.460538711f, + 0.881921264f, -0.471396737f, + 0.876070094f, -0.482183772f, + 0.870086991f, -0.492898192f, + 0.863972856f, -0.503538384f, + 0.857728610f, -0.514102744f, + 0.851355193f, -0.524589683f, + 0.844853565f, -0.534997620f, + 0.838224706f, -0.545324988f, + 0.831469612f, -0.555570233f, + 0.824589303f, -0.565731811f, + 0.817584813f, -0.575808191f, + 0.810457198f, -0.585797857f, + 0.803207531f, -0.595699304f, + 0.795836905f, -0.605511041f, + 0.788346428f, -0.615231591f, + 0.780737229f, -0.624859488f, + 0.773010453f, -0.634393284f, + 0.765167266f, -0.643831543f, + 0.757208847f, -0.653172843f, + 0.749136395f, -0.662415778f, + 0.740951125f, -0.671558955f, + 0.732654272f, -0.680600998f, + 0.724247083f, -0.689540545f, + 0.715730825f, -0.698376249f, + 0.707106781f, -0.707106781f, + 0.698376249f, -0.715730825f, + 0.689540545f, -0.724247083f, + 0.680600998f, -0.732654272f, + 0.671558955f, -0.740951125f, + 0.662415778f, -0.749136395f, + 0.653172843f, -0.757208847f, + 0.643831543f, -0.765167266f, + 0.634393284f, -0.773010453f, + 0.624859488f, -0.780737229f, + 0.615231591f, -0.788346428f, + 0.605511041f, -0.795836905f, + 0.595699304f, -0.803207531f, + 0.585797857f, -0.810457198f, + 0.575808191f, -0.817584813f, + 0.565731811f, -0.824589303f, + 0.555570233f, -0.831469612f, + 0.545324988f, -0.838224706f, + 0.534997620f, -0.844853565f, + 0.524589683f, -0.851355193f, + 0.514102744f, -0.857728610f, + 0.503538384f, -0.863972856f, + 0.492898192f, -0.870086991f, + 0.482183772f, -0.876070094f, + 0.471396737f, -0.881921264f, + 0.460538711f, -0.887639620f, + 0.449611330f, -0.893224301f, + 0.438616239f, -0.898674466f, + 0.427555093f, -0.903989293f, + 0.416429560f, -0.909167983f, + 0.405241314f, -0.914209756f, + 0.393992040f, -0.919113852f, + 0.382683432f, -0.923879533f, + 0.371317194f, -0.928506080f, + 0.359895037f, -0.932992799f, + 0.348418680f, -0.937339012f, + 0.336889853f, -0.941544065f, + 0.325310292f, -0.945607325f, + 0.313681740f, -0.949528181f, + 0.302005949f, -0.953306040f, + 0.290284677f, -0.956940336f, + 0.278519689f, -0.960430519f, + 0.266712757f, -0.963776066f, + 0.254865660f, -0.966976471f, + 0.242980180f, -0.970031253f, + 0.231058108f, -0.972939952f, + 0.219101240f, -0.975702130f, + 0.207111376f, -0.978317371f, + 0.195090322f, -0.980785280f, + 0.183039888f, -0.983105487f, + 0.170961889f, -0.985277642f, + 0.158858143f, -0.987301418f, + 0.146730474f, -0.989176510f, + 0.134580709f, -0.990902635f, + 0.122410675f, -0.992479535f, + 0.110222207f, -0.993906970f, + 0.098017140f, -0.995184727f, + 0.085797312f, -0.996312612f, + 0.073564564f, -0.997290457f, + 0.061320736f, -0.998118113f, + 0.049067674f, -0.998795456f, + 0.036807223f, -0.999322385f, + 0.024541229f, -0.999698819f, + 0.012271538f, -0.999924702f +}; + +const float32_t twiddleCoef_rfft_1024[1024] = { + 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-0.999801170f, + 0.018406730f, -0.999830582f, + 0.016872988f, -0.999857641f, + 0.015339206f, -0.999882347f, + 0.013805389f, -0.999904701f, + 0.012271538f, -0.999924702f, + 0.010737659f, -0.999942350f, + 0.009203755f, -0.999957645f, + 0.007669829f, -0.999970586f, + 0.006135885f, -0.999981175f, + 0.004601926f, -0.999989411f, + 0.003067957f, -0.999995294f, + 0.001533980f, -0.999998823f +}; + + +/** + * \par + * Example code for the generation of the floating-point sine table: + *
+ * tableSize = 512;
+ * for(n = 0; n < (tableSize + 1); n++)
+ * {
+ *	sinTable[n]=sin(2*pi*n/tableSize);
+ * }
+ * \par + * where pi value is 3.14159265358979 + */ + +const float32_t sinTable_f32[FAST_MATH_TABLE_SIZE + 1] = { + 0.00000000f, 0.01227154f, 0.02454123f, 0.03680722f, 0.04906767f, 0.06132074f, + 0.07356456f, 0.08579731f, 0.09801714f, 0.11022221f, 0.12241068f, 0.13458071f, + 0.14673047f, 0.15885814f, 0.17096189f, 0.18303989f, 0.19509032f, 0.20711138f, + 0.21910124f, 0.23105811f, 0.24298018f, 0.25486566f, 0.26671276f, 0.27851969f, + 0.29028468f, 0.30200595f, 0.31368174f, 0.32531029f, 0.33688985f, 0.34841868f, + 0.35989504f, 0.37131719f, 0.38268343f, 0.39399204f, 0.40524131f, 0.41642956f, + 0.42755509f, 0.43861624f, 0.44961133f, 0.46053871f, 0.47139674f, 0.48218377f, + 0.49289819f, 0.50353838f, 0.51410274f, 0.52458968f, 0.53499762f, 0.54532499f, + 0.55557023f, 0.56573181f, 0.57580819f, 0.58579786f, 0.59569930f, 0.60551104f, + 0.61523159f, 0.62485949f, 0.63439328f, 0.64383154f, 0.65317284f, 0.66241578f, + 0.67155895f, 0.68060100f, 0.68954054f, 0.69837625f, 0.70710678f, 0.71573083f, + 0.72424708f, 0.73265427f, 0.74095113f, 0.74913639f, 0.75720885f, 0.76516727f, + 0.77301045f, 0.78073723f, 0.78834643f, 0.79583690f, 0.80320753f, 0.81045720f, + 0.81758481f, 0.82458930f, 0.83146961f, 0.83822471f, 0.84485357f, 0.85135519f, + 0.85772861f, 0.86397286f, 0.87008699f, 0.87607009f, 0.88192126f, 0.88763962f, + 0.89322430f, 0.89867447f, 0.90398929f, 0.90916798f, 0.91420976f, 0.91911385f, + 0.92387953f, 0.92850608f, 0.93299280f, 0.93733901f, 0.94154407f, 0.94560733f, + 0.94952818f, 0.95330604f, 0.95694034f, 0.96043052f, 0.96377607f, 0.96697647f, + 0.97003125f, 0.97293995f, 0.97570213f, 0.97831737f, 0.98078528f, 0.98310549f, + 0.98527764f, 0.98730142f, 0.98917651f, 0.99090264f, 0.99247953f, 0.99390697f, + 0.99518473f, 0.99631261f, 0.99729046f, 0.99811811f, 0.99879546f, 0.99932238f, + 0.99969882f, 0.99992470f, 1.00000000f, 0.99992470f, 0.99969882f, 0.99932238f, + 0.99879546f, 0.99811811f, 0.99729046f, 0.99631261f, 0.99518473f, 0.99390697f, + 0.99247953f, 0.99090264f, 0.98917651f, 0.98730142f, 0.98527764f, 0.98310549f, + 0.98078528f, 0.97831737f, 0.97570213f, 0.97293995f, 0.97003125f, 0.96697647f, + 0.96377607f, 0.96043052f, 0.95694034f, 0.95330604f, 0.94952818f, 0.94560733f, + 0.94154407f, 0.93733901f, 0.93299280f, 0.92850608f, 0.92387953f, 0.91911385f, + 0.91420976f, 0.90916798f, 0.90398929f, 0.89867447f, 0.89322430f, 0.88763962f, + 0.88192126f, 0.87607009f, 0.87008699f, 0.86397286f, 0.85772861f, 0.85135519f, + 0.84485357f, 0.83822471f, 0.83146961f, 0.82458930f, 0.81758481f, 0.81045720f, + 0.80320753f, 0.79583690f, 0.78834643f, 0.78073723f, 0.77301045f, 0.76516727f, + 0.75720885f, 0.74913639f, 0.74095113f, 0.73265427f, 0.72424708f, 0.71573083f, + 0.70710678f, 0.69837625f, 0.68954054f, 0.68060100f, 0.67155895f, 0.66241578f, + 0.65317284f, 0.64383154f, 0.63439328f, 0.62485949f, 0.61523159f, 0.60551104f, + 0.59569930f, 0.58579786f, 0.57580819f, 0.56573181f, 0.55557023f, 0.54532499f, + 0.53499762f, 0.52458968f, 0.51410274f, 0.50353838f, 0.49289819f, 0.48218377f, + 0.47139674f, 0.46053871f, 0.44961133f, 0.43861624f, 0.42755509f, 0.41642956f, + 0.40524131f, 0.39399204f, 0.38268343f, 0.37131719f, 0.35989504f, 0.34841868f, + 0.33688985f, 0.32531029f, 0.31368174f, 0.30200595f, 0.29028468f, 0.27851969f, + 0.26671276f, 0.25486566f, 0.24298018f, 0.23105811f, 0.21910124f, 0.20711138f, + 0.19509032f, 0.18303989f, 0.17096189f, 0.15885814f, 0.14673047f, 0.13458071f, + 0.12241068f, 0.11022221f, 0.09801714f, 0.08579731f, 0.07356456f, 0.06132074f, + 0.04906767f, 0.03680722f, 0.02454123f, 0.01227154f, 0.00000000f, -0.01227154f, + -0.02454123f, -0.03680722f, -0.04906767f, -0.06132074f, -0.07356456f, + -0.08579731f, -0.09801714f, -0.11022221f, -0.12241068f, -0.13458071f, + -0.14673047f, -0.15885814f, -0.17096189f, -0.18303989f, -0.19509032f, + -0.20711138f, -0.21910124f, -0.23105811f, -0.24298018f, -0.25486566f, + -0.26671276f, -0.27851969f, -0.29028468f, -0.30200595f, -0.31368174f, + -0.32531029f, -0.33688985f, -0.34841868f, -0.35989504f, -0.37131719f, + -0.38268343f, -0.39399204f, -0.40524131f, -0.41642956f, -0.42755509f, + -0.43861624f, -0.44961133f, -0.46053871f, -0.47139674f, -0.48218377f, + -0.49289819f, -0.50353838f, -0.51410274f, -0.52458968f, -0.53499762f, + -0.54532499f, -0.55557023f, -0.56573181f, -0.57580819f, -0.58579786f, + -0.59569930f, -0.60551104f, -0.61523159f, -0.62485949f, -0.63439328f, + -0.64383154f, -0.65317284f, -0.66241578f, -0.67155895f, -0.68060100f, + -0.68954054f, -0.69837625f, -0.70710678f, -0.71573083f, -0.72424708f, + -0.73265427f, -0.74095113f, -0.74913639f, -0.75720885f, -0.76516727f, + -0.77301045f, -0.78073723f, -0.78834643f, -0.79583690f, -0.80320753f, + -0.81045720f, -0.81758481f, -0.82458930f, -0.83146961f, -0.83822471f, + -0.84485357f, -0.85135519f, -0.85772861f, -0.86397286f, -0.87008699f, + -0.87607009f, -0.88192126f, -0.88763962f, -0.89322430f, -0.89867447f, + -0.90398929f, -0.90916798f, -0.91420976f, -0.91911385f, -0.92387953f, + -0.92850608f, -0.93299280f, -0.93733901f, -0.94154407f, -0.94560733f, + -0.94952818f, -0.95330604f, -0.95694034f, -0.96043052f, -0.96377607f, + -0.96697647f, -0.97003125f, -0.97293995f, -0.97570213f, -0.97831737f, + -0.98078528f, -0.98310549f, -0.98527764f, -0.98730142f, -0.98917651f, + -0.99090264f, -0.99247953f, -0.99390697f, -0.99518473f, -0.99631261f, + -0.99729046f, -0.99811811f, -0.99879546f, -0.99932238f, -0.99969882f, + -0.99992470f, -1.00000000f, -0.99992470f, -0.99969882f, -0.99932238f, + -0.99879546f, -0.99811811f, -0.99729046f, -0.99631261f, -0.99518473f, + -0.99390697f, -0.99247953f, -0.99090264f, -0.98917651f, -0.98730142f, + -0.98527764f, -0.98310549f, -0.98078528f, -0.97831737f, -0.97570213f, + -0.97293995f, -0.97003125f, -0.96697647f, -0.96377607f, -0.96043052f, + -0.95694034f, -0.95330604f, -0.94952818f, -0.94560733f, -0.94154407f, + -0.93733901f, -0.93299280f, -0.92850608f, -0.92387953f, -0.91911385f, + -0.91420976f, -0.90916798f, -0.90398929f, -0.89867447f, -0.89322430f, + -0.88763962f, -0.88192126f, -0.87607009f, -0.87008699f, -0.86397286f, + -0.85772861f, -0.85135519f, -0.84485357f, -0.83822471f, -0.83146961f, + -0.82458930f, -0.81758481f, -0.81045720f, -0.80320753f, -0.79583690f, + -0.78834643f, -0.78073723f, -0.77301045f, -0.76516727f, -0.75720885f, + -0.74913639f, -0.74095113f, -0.73265427f, -0.72424708f, -0.71573083f, + -0.70710678f, -0.69837625f, -0.68954054f, -0.68060100f, -0.67155895f, + -0.66241578f, -0.65317284f, -0.64383154f, -0.63439328f, -0.62485949f, + -0.61523159f, -0.60551104f, -0.59569930f, -0.58579786f, -0.57580819f, + -0.56573181f, -0.55557023f, -0.54532499f, -0.53499762f, -0.52458968f, + -0.51410274f, -0.50353838f, -0.49289819f, -0.48218377f, -0.47139674f, + -0.46053871f, -0.44961133f, -0.43861624f, -0.42755509f, -0.41642956f, + -0.40524131f, -0.39399204f, -0.38268343f, -0.37131719f, -0.35989504f, + -0.34841868f, -0.33688985f, -0.32531029f, -0.31368174f, -0.30200595f, + -0.29028468f, -0.27851969f, -0.26671276f, -0.25486566f, -0.24298018f, + -0.23105811f, -0.21910124f, -0.20711138f, -0.19509032f, -0.18303989f, + -0.17096189f, -0.15885814f, -0.14673047f, -0.13458071f, -0.12241068f, + -0.11022221f, -0.09801714f, -0.08579731f, -0.07356456f, -0.06132074f, + -0.04906767f, -0.03680722f, -0.02454123f, -0.01227154f, -0.00000000f +}; + +/** + * \par + * Table values are in Q31 (1.31 fixed-point format) and generation is done in + * three steps. First, generate sin values in floating point: + *
+ * tableSize = 512;
+ * for(n = 0; n < (tableSize + 1); n++)
+ * {
+ *	sinTable[n]= sin(2*pi*n/tableSize);
+ * } 
+ * where pi value is 3.14159265358979 + * \par + * Second, convert floating-point to Q31 (Fixed point): + * (sinTable[i] * pow(2, 31)) + * \par + * Finally, round to the nearest integer value: + * sinTable[i] += (sinTable[i] > 0 ? 0.5 :-0.5); + */ +const q31_t sinTable_q31[FAST_MATH_TABLE_SIZE + 1] = { + 0L, 26352928L, 52701887L, 79042909L, 105372028L, 131685278L, 157978697L, + 184248325L, 210490206L, 236700388L, 262874923L, 289009871L, 315101295L, + 341145265L, 367137861L, 393075166L, 418953276L, 444768294L, 470516330L, + 496193509L, 521795963L, 547319836L, 572761285L, 598116479L, 623381598L, + 648552838L, 673626408L, 698598533L, 723465451L, 748223418L, 772868706L, + 797397602L, 821806413L, 846091463L, 870249095L, 894275671L, 918167572L, + 941921200L, 965532978L, 988999351L, 1012316784L, 1035481766L, 1058490808L, + 1081340445L, 1104027237L, 1126547765L, 1148898640L, 1171076495L, 1193077991L, + 1214899813L, 1236538675L, 1257991320L, 1279254516L, 1300325060L, 1321199781L, + 1341875533L, 1362349204L, 1382617710L, 1402678000L, 1422527051L, 1442161874L, + 1461579514L, 1480777044L, 1499751576L, 1518500250L, 1537020244L, 1555308768L, + 1573363068L, 1591180426L, 1608758157L, 1626093616L, 1643184191L, 1660027308L, + 1676620432L, 1692961062L, 1709046739L, 1724875040L, 1740443581L, 1755750017L, + 1770792044L, 1785567396L, 1800073849L, 1814309216L, 1828271356L, 1841958164L, + 1855367581L, 1868497586L, 1881346202L, 1893911494L, 1906191570L, 1918184581L, + 1929888720L, 1941302225L, 1952423377L, 1963250501L, 1973781967L, 1984016189L, + 1993951625L, 2003586779L, 2012920201L, 2021950484L, 2030676269L, 2039096241L, + 2047209133L, 2055013723L, 2062508835L, 2069693342L, 2076566160L, 2083126254L, + 2089372638L, 2095304370L, 2100920556L, 2106220352L, 2111202959L, 2115867626L, + 2120213651L, 2124240380L, 2127947206L, 2131333572L, 2134398966L, 2137142927L, + 2139565043L, 2141664948L, 2143442326L, 2144896910L, 2146028480L, 2146836866L, + 2147321946L, 2147483647L, 2147321946L, 2146836866L, 2146028480L, 2144896910L, + 2143442326L, 2141664948L, 2139565043L, 2137142927L, 2134398966L, 2131333572L, + 2127947206L, 2124240380L, 2120213651L, 2115867626L, 2111202959L, 2106220352L, + 2100920556L, 2095304370L, 2089372638L, 2083126254L, 2076566160L, 2069693342L, + 2062508835L, 2055013723L, 2047209133L, 2039096241L, 2030676269L, 2021950484L, + 2012920201L, 2003586779L, 1993951625L, 1984016189L, 1973781967L, 1963250501L, + 1952423377L, 1941302225L, 1929888720L, 1918184581L, 1906191570L, 1893911494L, + 1881346202L, 1868497586L, 1855367581L, 1841958164L, 1828271356L, 1814309216L, + 1800073849L, 1785567396L, 1770792044L, 1755750017L, 1740443581L, 1724875040L, + 1709046739L, 1692961062L, 1676620432L, 1660027308L, 1643184191L, 1626093616L, + 1608758157L, 1591180426L, 1573363068L, 1555308768L, 1537020244L, 1518500250L, + 1499751576L, 1480777044L, 1461579514L, 1442161874L, 1422527051L, 1402678000L, + 1382617710L, 1362349204L, 1341875533L, 1321199781L, 1300325060L, 1279254516L, + 1257991320L, 1236538675L, 1214899813L, 1193077991L, 1171076495L, 1148898640L, + 1126547765L, 1104027237L, 1081340445L, 1058490808L, 1035481766L, 1012316784L, + 988999351L, 965532978L, 941921200L, 918167572L, 894275671L, 870249095L, + 846091463L, 821806413L, 797397602L, 772868706L, 748223418L, 723465451L, + 698598533L, 673626408L, 648552838L, 623381598L, 598116479L, 572761285L, + 547319836L, 521795963L, 496193509L, 470516330L, 444768294L, 418953276L, + 393075166L, 367137861L, 341145265L, 315101295L, 289009871L, 262874923L, + 236700388L, 210490206L, 184248325L, 157978697L, 131685278L, 105372028L, + 79042909L, 52701887L, 26352928L, 0L, -26352928L, -52701887L, -79042909L, + -105372028L, -131685278L, -157978697L, -184248325L, -210490206L, -236700388L, + -262874923L, -289009871L, -315101295L, -341145265L, -367137861L, -393075166L, + -418953276L, -444768294L, -470516330L, -496193509L, -521795963L, -547319836L, + -572761285L, -598116479L, -623381598L, -648552838L, -673626408L, -698598533L, + -723465451L, -748223418L, -772868706L, -797397602L, -821806413L, -846091463L, + -870249095L, -894275671L, -918167572L, -941921200L, -965532978L, -988999351L, + -1012316784L, -1035481766L, -1058490808L, -1081340445L, -1104027237L, + -1126547765L, -1148898640L, -1171076495L, -1193077991L, -1214899813L, + -1236538675L, -1257991320L, -1279254516L, -1300325060L, -1321199781L, + -1341875533L, -1362349204L, -1382617710L, -1402678000L, -1422527051L, + -1442161874L, -1461579514L, -1480777044L, -1499751576L, -1518500250L, + -1537020244L, -1555308768L, -1573363068L, -1591180426L, -1608758157L, + -1626093616L, -1643184191L, -1660027308L, -1676620432L, -1692961062L, + -1709046739L, -1724875040L, -1740443581L, -1755750017L, -1770792044L, + -1785567396L, -1800073849L, -1814309216L, -1828271356L, -1841958164L, + -1855367581L, -1868497586L, -1881346202L, -1893911494L, -1906191570L, + -1918184581L, -1929888720L, -1941302225L, -1952423377L, -1963250501L, + -1973781967L, -1984016189L, -1993951625L, -2003586779L, -2012920201L, + -2021950484L, -2030676269L, -2039096241L, -2047209133L, -2055013723L, + -2062508835L, -2069693342L, -2076566160L, -2083126254L, -2089372638L, + -2095304370L, -2100920556L, -2106220352L, -2111202959L, -2115867626L, + -2120213651L, -2124240380L, -2127947206L, -2131333572L, -2134398966L, + -2137142927L, -2139565043L, -2141664948L, -2143442326L, -2144896910L, + -2146028480L, -2146836866L, -2147321946L, (q31_t)0x80000000, -2147321946L, + -2146836866L, -2146028480L, -2144896910L, -2143442326L, -2141664948L, + -2139565043L, -2137142927L, -2134398966L, -2131333572L, -2127947206L, + -2124240380L, -2120213651L, -2115867626L, -2111202959L, -2106220352L, + -2100920556L, -2095304370L, -2089372638L, -2083126254L, -2076566160L, + -2069693342L, -2062508835L, -2055013723L, -2047209133L, -2039096241L, + -2030676269L, -2021950484L, -2012920201L, -2003586779L, -1993951625L, + -1984016189L, -1973781967L, -1963250501L, -1952423377L, -1941302225L, + -1929888720L, -1918184581L, -1906191570L, -1893911494L, -1881346202L, + -1868497586L, -1855367581L, -1841958164L, -1828271356L, -1814309216L, + -1800073849L, -1785567396L, -1770792044L, -1755750017L, -1740443581L, + -1724875040L, -1709046739L, -1692961062L, -1676620432L, -1660027308L, + -1643184191L, -1626093616L, -1608758157L, -1591180426L, -1573363068L, + -1555308768L, -1537020244L, -1518500250L, -1499751576L, -1480777044L, + -1461579514L, -1442161874L, -1422527051L, -1402678000L, -1382617710L, + -1362349204L, -1341875533L, -1321199781L, -1300325060L, -1279254516L, + -1257991320L, -1236538675L, -1214899813L, -1193077991L, -1171076495L, + -1148898640L, -1126547765L, -1104027237L, -1081340445L, -1058490808L, + -1035481766L, -1012316784L, -988999351L, -965532978L, -941921200L, + -918167572L, -894275671L, -870249095L, -846091463L, -821806413L, -797397602L, + -772868706L, -748223418L, -723465451L, -698598533L, -673626408L, -648552838L, + -623381598L, -598116479L, -572761285L, -547319836L, -521795963L, -496193509L, + -470516330L, -444768294L, -418953276L, -393075166L, -367137861L, -341145265L, + -315101295L, -289009871L, -262874923L, -236700388L, -210490206L, -184248325L, + -157978697L, -131685278L, -105372028L, -79042909L, -52701887L, -26352928L, 0 +}; + +/** + * \par + * Table values are in Q15 (1.15 fixed-point format) and generation is done in + * three steps. First, generate sin values in floating point: + *
+ * tableSize = 512;
+ * for(n = 0; n < (tableSize + 1); n++)
+ * {
+ *	sinTable[n]= sin(2*pi*n/tableSize);
+ * } 
+ * where pi value is 3.14159265358979 + * \par + * Second, convert floating-point to Q15 (Fixed point): + * (sinTable[i] * pow(2, 15)) + * \par + * Finally, round to the nearest integer value: + * sinTable[i] += (sinTable[i] > 0 ? 0.5 :-0.5); + */ +const q15_t sinTable_q15[FAST_MATH_TABLE_SIZE + 1] = { + 0, 402, 804, 1206, 1608, 2009, 2411, 2811, 3212, 3612, 4011, 4410, 4808, + 5205, 5602, 5998, 6393, 6787, 7180, 7571, 7962, 8351, 8740, 9127, 9512, + 9896, 10279, 10660, 11039, 11417, 11793, 12167, 12540, 12910, 13279, + 13646, 14010, 14373, 14733, 15091, 15447, 15800, 16151, 16500, 16846, + 17190, 17531, 17869, 18205, 18538, 18868, 19195, 19520, 19841, 20160, + 20475, 20788, 21097, 21403, 21706, 22006, 22302, 22595, 22884, 23170, + 23453, 23732, 24008, 24279, 24548, 24812, 25073, 25330, 25583, 25833, + 26078, 26320, 26557, 26791, 27020, 27246, 27467, 27684, 27897, 28106, + 28311, 28511, 28707, 28899, 29086, 29269, 29448, 29622, 29792, 29957, + 30118, 30274, 30425, 30572, 30715, 30853, 30986, 31114, 31238, 31357, + 31471, 31581, 31686, 31786, 31881, 31972, 32058, 32138, 32214, 32286, + 32352, 32413, 32470, 32522, 32568, 32610, 32647, 32679, 32706, 32729, + 32746, 32758, 32766, 32767, 32766, 32758, 32746, 32729, 32706, 32679, + 32647, 32610, 32568, 32522, 32470, 32413, 32352, 32286, 32214, 32138, + 32058, 31972, 31881, 31786, 31686, 31581, 31471, 31357, 31238, 31114, + 30986, 30853, 30715, 30572, 30425, 30274, 30118, 29957, 29792, 29622, + 29448, 29269, 29086, 28899, 28707, 28511, 28311, 28106, 27897, 27684, + 27467, 27246, 27020, 26791, 26557, 26320, 26078, 25833, 25583, 25330, + 25073, 24812, 24548, 24279, 24008, 23732, 23453, 23170, 22884, 22595, + 22302, 22006, 21706, 21403, 21097, 20788, 20475, 20160, 19841, 19520, + 19195, 18868, 18538, 18205, 17869, 17531, 17190, 16846, 16500, 16151, + 15800, 15447, 15091, 14733, 14373, 14010, 13646, 13279, 12910, 12540, + 12167, 11793, 11417, 11039, 10660, 10279, 9896, 9512, 9127, 8740, 8351, + 7962, 7571, 7180, 6787, 6393, 5998, 5602, 5205, 4808, 4410, 4011, 3612, + 3212, 2811, 2411, 2009, 1608, 1206, 804, 402, 0, -402, -804, -1206, + -1608, -2009, -2411, -2811, -3212, -3612, -4011, -4410, -4808, -5205, + -5602, -5998, -6393, -6787, -7180, -7571, -7962, -8351, -8740, -9127, + -9512, -9896, -10279, -10660, -11039, -11417, -11793, -12167, -12540, + -12910, -13279, -13646, -14010, -14373, -14733, -15091, -15447, -15800, + -16151, -16500, -16846, -17190, -17531, -17869, -18205, -18538, -18868, + -19195, -19520, -19841, -20160, -20475, -20788, -21097, -21403, -21706, + -22006, -22302, -22595, -22884, -23170, -23453, -23732, -24008, -24279, + -24548, -24812, -25073, -25330, -25583, -25833, -26078, -26320, -26557, + -26791, -27020, -27246, -27467, -27684, -27897, -28106, -28311, -28511, + -28707, -28899, -29086, -29269, -29448, -29622, -29792, -29957, -30118, + -30274, -30425, -30572, -30715, -30853, -30986, -31114, -31238, -31357, + -31471, -31581, -31686, -31786, -31881, -31972, -32058, -32138, -32214, + -32286, -32352, -32413, -32470, -32522, -32568, -32610, -32647, -32679, + -32706, -32729, -32746, -32758, -32766, -32768, -32766, -32758, -32746, + -32729, -32706, -32679, -32647, -32610, -32568, -32522, -32470, -32413, + -32352, -32286, -32214, -32138, -32058, -31972, -31881, -31786, -31686, + -31581, -31471, -31357, -31238, -31114, -30986, -30853, -30715, -30572, + -30425, -30274, -30118, -29957, -29792, -29622, -29448, -29269, -29086, + -28899, -28707, -28511, -28311, -28106, -27897, -27684, -27467, -27246, + -27020, -26791, -26557, -26320, -26078, -25833, -25583, -25330, -25073, + -24812, -24548, -24279, -24008, -23732, -23453, -23170, -22884, -22595, + -22302, -22006, -21706, -21403, -21097, -20788, -20475, -20160, -19841, + -19520, -19195, -18868, -18538, -18205, -17869, -17531, -17190, -16846, + -16500, -16151, -15800, -15447, -15091, -14733, -14373, -14010, -13646, + -13279, -12910, -12540, -12167, -11793, -11417, -11039, -10660, -10279, + -9896, -9512, -9127, -8740, -8351, -7962, -7571, -7180, -6787, -6393, + -5998, -5602, -5205, -4808, -4410, -4011, -3612, -3212, -2811, -2411, + -2009, -1608, -1206, -804, -402, 0 +}; diff --git a/fw/hid-dials/Drivers/CMSIS/DSP/Source/CommonTables/arm_const_structs.c b/fw/hid-dials/Drivers/CMSIS/DSP/Source/CommonTables/arm_const_structs.c new file mode 100644 index 0000000..96808d3 --- /dev/null +++ b/fw/hid-dials/Drivers/CMSIS/DSP/Source/CommonTables/arm_const_structs.c @@ -0,0 +1,379 @@ +/* ---------------------------------------------------------------------- + * Project: CMSIS DSP Library + * Title: arm_const_structs.c + * Description: Constant structs that are initialized for user convenience. + * For example, some can be given as arguments to the arm_cfft_f32() or arm_rfft_f32() functions. + * + * $Date: 27. January 2017 + * $Revision: V.1.5.1 + * + * Target Processor: Cortex-M cores + * -------------------------------------------------------------------- */ +/* + * Copyright (C) 2010-2017 ARM Limited or its affiliates. All rights reserved. + * + * SPDX-License-Identifier: Apache-2.0 + * + * Licensed under the Apache License, Version 2.0 (the License); you may + * not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an AS IS BASIS, WITHOUT + * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ + +#include "arm_const_structs.h" + +/* Floating-point structs */ +const arm_cfft_instance_f32 arm_cfft_sR_f32_len16 = { + 16, twiddleCoef_16, armBitRevIndexTable16, ARMBITREVINDEXTABLE_16_TABLE_LENGTH +}; + +const arm_cfft_instance_f32 arm_cfft_sR_f32_len32 = { + 32, twiddleCoef_32, armBitRevIndexTable32, ARMBITREVINDEXTABLE_32_TABLE_LENGTH +}; + +const arm_cfft_instance_f32 arm_cfft_sR_f32_len64 = { + 64, twiddleCoef_64, armBitRevIndexTable64, ARMBITREVINDEXTABLE_64_TABLE_LENGTH +}; + +const arm_cfft_instance_f32 arm_cfft_sR_f32_len128 = { + 128, twiddleCoef_128, armBitRevIndexTable128, ARMBITREVINDEXTABLE_128_TABLE_LENGTH +}; + +const arm_cfft_instance_f32 arm_cfft_sR_f32_len256 = { + 256, twiddleCoef_256, armBitRevIndexTable256, ARMBITREVINDEXTABLE_256_TABLE_LENGTH +}; + +const arm_cfft_instance_f32 arm_cfft_sR_f32_len512 = { + 512, twiddleCoef_512, armBitRevIndexTable512, ARMBITREVINDEXTABLE_512_TABLE_LENGTH +}; + +const arm_cfft_instance_f32 arm_cfft_sR_f32_len1024 = { + 1024, twiddleCoef_1024, armBitRevIndexTable1024, ARMBITREVINDEXTABLE_1024_TABLE_LENGTH +}; + +const arm_cfft_instance_f32 arm_cfft_sR_f32_len2048 = { + 2048, twiddleCoef_2048, armBitRevIndexTable2048, ARMBITREVINDEXTABLE_2048_TABLE_LENGTH +}; + +const arm_cfft_instance_f32 arm_cfft_sR_f32_len4096 = { + 4096, twiddleCoef_4096, armBitRevIndexTable4096, ARMBITREVINDEXTABLE_4096_TABLE_LENGTH +}; + +/* Fixed-point structs */ +const arm_cfft_instance_q31 arm_cfft_sR_q31_len16 = { + 16, twiddleCoef_16_q31, armBitRevIndexTable_fixed_16, ARMBITREVINDEXTABLE_FIXED_16_TABLE_LENGTH +}; + +const arm_cfft_instance_q31 arm_cfft_sR_q31_len32 = { + 32, twiddleCoef_32_q31, armBitRevIndexTable_fixed_32, ARMBITREVINDEXTABLE_FIXED_32_TABLE_LENGTH +}; + +const arm_cfft_instance_q31 arm_cfft_sR_q31_len64 = { + 64, twiddleCoef_64_q31, armBitRevIndexTable_fixed_64, ARMBITREVINDEXTABLE_FIXED_64_TABLE_LENGTH +}; + +const arm_cfft_instance_q31 arm_cfft_sR_q31_len128 = { + 128, twiddleCoef_128_q31, armBitRevIndexTable_fixed_128, ARMBITREVINDEXTABLE_FIXED_128_TABLE_LENGTH +}; + +const arm_cfft_instance_q31 arm_cfft_sR_q31_len256 = { + 256, twiddleCoef_256_q31, armBitRevIndexTable_fixed_256, ARMBITREVINDEXTABLE_FIXED_256_TABLE_LENGTH +}; + +const arm_cfft_instance_q31 arm_cfft_sR_q31_len512 = { + 512, twiddleCoef_512_q31, armBitRevIndexTable_fixed_512, ARMBITREVINDEXTABLE_FIXED_512_TABLE_LENGTH +}; + +const arm_cfft_instance_q31 arm_cfft_sR_q31_len1024 = { + 1024, twiddleCoef_1024_q31, armBitRevIndexTable_fixed_1024, ARMBITREVINDEXTABLE_FIXED_1024_TABLE_LENGTH +}; + +const arm_cfft_instance_q31 arm_cfft_sR_q31_len2048 = { + 2048, twiddleCoef_2048_q31, armBitRevIndexTable_fixed_2048, ARMBITREVINDEXTABLE_FIXED_2048_TABLE_LENGTH +}; + +const arm_cfft_instance_q31 arm_cfft_sR_q31_len4096 = { + 4096, twiddleCoef_4096_q31, armBitRevIndexTable_fixed_4096, ARMBITREVINDEXTABLE_FIXED_4096_TABLE_LENGTH +}; + +const arm_cfft_instance_q15 arm_cfft_sR_q15_len16 = { + 16, twiddleCoef_16_q15, armBitRevIndexTable_fixed_16, ARMBITREVINDEXTABLE_FIXED_16_TABLE_LENGTH +}; + +const arm_cfft_instance_q15 arm_cfft_sR_q15_len32 = { + 32, twiddleCoef_32_q15, armBitRevIndexTable_fixed_32, ARMBITREVINDEXTABLE_FIXED_32_TABLE_LENGTH +}; + +const arm_cfft_instance_q15 arm_cfft_sR_q15_len64 = { + 64, twiddleCoef_64_q15, armBitRevIndexTable_fixed_64, ARMBITREVINDEXTABLE_FIXED_64_TABLE_LENGTH +}; + +const arm_cfft_instance_q15 arm_cfft_sR_q15_len128 = { + 128, twiddleCoef_128_q15, armBitRevIndexTable_fixed_128, ARMBITREVINDEXTABLE_FIXED_128_TABLE_LENGTH +}; + +const arm_cfft_instance_q15 arm_cfft_sR_q15_len256 = { + 256, twiddleCoef_256_q15, armBitRevIndexTable_fixed_256, ARMBITREVINDEXTABLE_FIXED_256_TABLE_LENGTH +}; + +const arm_cfft_instance_q15 arm_cfft_sR_q15_len512 = { + 512, twiddleCoef_512_q15, armBitRevIndexTable_fixed_512, ARMBITREVINDEXTABLE_FIXED_512_TABLE_LENGTH +}; + +const arm_cfft_instance_q15 arm_cfft_sR_q15_len1024 = { + 1024, twiddleCoef_1024_q15, armBitRevIndexTable_fixed_1024, ARMBITREVINDEXTABLE_FIXED_1024_TABLE_LENGTH +}; + +const arm_cfft_instance_q15 arm_cfft_sR_q15_len2048 = { + 2048, twiddleCoef_2048_q15, armBitRevIndexTable_fixed_2048, ARMBITREVINDEXTABLE_FIXED_2048_TABLE_LENGTH +}; + +const arm_cfft_instance_q15 arm_cfft_sR_q15_len4096 = { + 4096, twiddleCoef_4096_q15, armBitRevIndexTable_fixed_4096, ARMBITREVINDEXTABLE_FIXED_4096_TABLE_LENGTH +}; + +/* Structure for real-value inputs */ +/* Floating-point structs */ +const arm_rfft_fast_instance_f32 arm_rfft_fast_sR_f32_len32 = { + { 16, twiddleCoef_32, armBitRevIndexTable32, ARMBITREVINDEXTABLE_16_TABLE_LENGTH }, + 32U, + (float32_t *)twiddleCoef_rfft_32 +}; + +const arm_rfft_fast_instance_f32 arm_rfft_fast_sR_f32_len64 = { + { 32, twiddleCoef_32, armBitRevIndexTable32, ARMBITREVINDEXTABLE_32_TABLE_LENGTH }, + 64U, + (float32_t *)twiddleCoef_rfft_64 +}; + +const arm_rfft_fast_instance_f32 arm_rfft_fast_sR_f32_len128 = { + { 64, twiddleCoef_64, armBitRevIndexTable64, ARMBITREVINDEXTABLE_64_TABLE_LENGTH }, + 128U, + (float32_t *)twiddleCoef_rfft_128 +}; + +const arm_rfft_fast_instance_f32 arm_rfft_fast_sR_f32_len256 = { + { 128, twiddleCoef_128, armBitRevIndexTable128, ARMBITREVINDEXTABLE_128_TABLE_LENGTH }, + 256U, + (float32_t *)twiddleCoef_rfft_256 +}; + +const arm_rfft_fast_instance_f32 arm_rfft_fast_sR_f32_len512 = { + { 256, twiddleCoef_256, armBitRevIndexTable256, ARMBITREVINDEXTABLE_256_TABLE_LENGTH }, + 512U, + (float32_t *)twiddleCoef_rfft_512 +}; + +const arm_rfft_fast_instance_f32 arm_rfft_fast_sR_f32_len1024 = { + { 512, twiddleCoef_512, armBitRevIndexTable512, ARMBITREVINDEXTABLE_512_TABLE_LENGTH }, + 1024U, + (float32_t *)twiddleCoef_rfft_1024 +}; + +const arm_rfft_fast_instance_f32 arm_rfft_fast_sR_f32_len2048 = { + { 1024, twiddleCoef_1024, armBitRevIndexTable1024, ARMBITREVINDEXTABLE_1024_TABLE_LENGTH }, + 2048U, + (float32_t *)twiddleCoef_rfft_2048 +}; + +const arm_rfft_fast_instance_f32 arm_rfft_fast_sR_f32_len4096 = { + { 2048, twiddleCoef_2048, armBitRevIndexTable2048, ARMBITREVINDEXTABLE_2048_TABLE_LENGTH }, + 4096U, + (float32_t *)twiddleCoef_rfft_4096 +}; + +/* Fixed-point structs */ +/* q31_t */ +extern const q31_t realCoefAQ31[8192]; +extern const q31_t realCoefBQ31[8192]; + +const arm_rfft_instance_q31 arm_rfft_sR_q31_len32 = { + 32U, + 0, + 1, + 256U, + (q31_t*)realCoefAQ31, + (q31_t*)realCoefBQ31, + &arm_cfft_sR_q31_len16 +}; + +const arm_rfft_instance_q31 arm_rfft_sR_q31_len64 = { + 64U, + 0, + 1, + 128U, + (q31_t*)realCoefAQ31, + (q31_t*)realCoefBQ31, + &arm_cfft_sR_q31_len32 +}; + +const arm_rfft_instance_q31 arm_rfft_sR_q31_len128 = { + 128U, + 0, + 1, + 64U, + (q31_t*)realCoefAQ31, + (q31_t*)realCoefBQ31, + &arm_cfft_sR_q31_len64 +}; + +const arm_rfft_instance_q31 arm_rfft_sR_q31_len256 = { + 256U, + 0, + 1, + 32U, + (q31_t*)realCoefAQ31, + (q31_t*)realCoefBQ31, + &arm_cfft_sR_q31_len128 +}; + +const arm_rfft_instance_q31 arm_rfft_sR_q31_len512 = { + 512U, + 0, + 1, + 16U, + (q31_t*)realCoefAQ31, + (q31_t*)realCoefBQ31, + &arm_cfft_sR_q31_len256 +}; + +const arm_rfft_instance_q31 arm_rfft_sR_q31_len1024 = { + 1024U, + 0, + 1, + 8U, + (q31_t*)realCoefAQ31, + (q31_t*)realCoefBQ31, + &arm_cfft_sR_q31_len512 +}; + +const arm_rfft_instance_q31 arm_rfft_sR_q31_len2048 = { + 2048U, + 0, + 1, + 4U, + (q31_t*)realCoefAQ31, + (q31_t*)realCoefBQ31, + &arm_cfft_sR_q31_len1024 +}; + +const arm_rfft_instance_q31 arm_rfft_sR_q31_len4096 = { + 4096U, + 0, + 1, + 2U, + (q31_t*)realCoefAQ31, + (q31_t*)realCoefBQ31, + &arm_cfft_sR_q31_len2048 +}; + +const arm_rfft_instance_q31 arm_rfft_sR_q31_len8192 = { + 8192U, + 0, + 1, + 1U, + (q31_t*)realCoefAQ31, + (q31_t*)realCoefBQ31, + &arm_cfft_sR_q31_len4096 +}; + +/* q15_t */ +extern const q15_t realCoefAQ15[8192]; +extern const q15_t realCoefBQ15[8192]; + +const arm_rfft_instance_q15 arm_rfft_sR_q15_len32 = { + 32U, + 0, + 1, + 256U, + (q15_t*)realCoefAQ15, + (q15_t*)realCoefBQ15, + &arm_cfft_sR_q15_len16 +}; + +const arm_rfft_instance_q15 arm_rfft_sR_q15_len64 = { + 64U, + 0, + 1, + 128U, + (q15_t*)realCoefAQ15, + (q15_t*)realCoefBQ15, + &arm_cfft_sR_q15_len32 +}; + +const arm_rfft_instance_q15 arm_rfft_sR_q15_len128 = { + 128U, + 0, + 1, + 64U, + (q15_t*)realCoefAQ15, + (q15_t*)realCoefBQ15, + &arm_cfft_sR_q15_len64 +}; + +const arm_rfft_instance_q15 arm_rfft_sR_q15_len256 = { + 256U, + 0, + 1, + 32U, + (q15_t*)realCoefAQ15, + (q15_t*)realCoefBQ15, + &arm_cfft_sR_q15_len128 +}; + +const arm_rfft_instance_q15 arm_rfft_sR_q15_len512 = { + 512U, + 0, + 1, + 16U, + (q15_t*)realCoefAQ15, + (q15_t*)realCoefBQ15, + &arm_cfft_sR_q15_len256 +}; + +const arm_rfft_instance_q15 arm_rfft_sR_q15_len1024 = { + 1024U, + 0, + 1, + 8U, + (q15_t*)realCoefAQ15, + (q15_t*)realCoefBQ15, + &arm_cfft_sR_q15_len512 +}; + +const arm_rfft_instance_q15 arm_rfft_sR_q15_len2048 = { + 2048U, + 0, + 1, + 4U, + (q15_t*)realCoefAQ15, + (q15_t*)realCoefBQ15, + &arm_cfft_sR_q15_len1024 +}; + +const arm_rfft_instance_q15 arm_rfft_sR_q15_len4096 = { + 4096U, + 0, + 1, + 2U, + (q15_t*)realCoefAQ15, + (q15_t*)realCoefBQ15, + &arm_cfft_sR_q15_len2048 +}; + +const arm_rfft_instance_q15 arm_rfft_sR_q15_len8192 = { + 8192U, + 0, + 1, + 1U, + (q15_t*)realCoefAQ15, + (q15_t*)realCoefBQ15, + &arm_cfft_sR_q15_len4096 +}; diff --git a/fw/hid-dials/Drivers/CMSIS/DSP/Source/ComplexMathFunctions/arm_cmplx_conj_f32.c b/fw/hid-dials/Drivers/CMSIS/DSP/Source/ComplexMathFunctions/arm_cmplx_conj_f32.c new file mode 100644 index 0000000..29e74bc --- /dev/null +++ b/fw/hid-dials/Drivers/CMSIS/DSP/Source/ComplexMathFunctions/arm_cmplx_conj_f32.c @@ -0,0 +1,171 @@ +/* ---------------------------------------------------------------------- + * Project: CMSIS DSP Library + * Title: arm_cmplx_conj_f32.c + * Description: Floating-point complex conjugate + * + * $Date: 27. January 2017 + * $Revision: V.1.5.1 + * + * Target Processor: Cortex-M cores + * -------------------------------------------------------------------- */ +/* + * Copyright (C) 2010-2017 ARM Limited or its affiliates. All rights reserved. + * + * SPDX-License-Identifier: Apache-2.0 + * + * Licensed under the Apache License, Version 2.0 (the License); you may + * not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an AS IS BASIS, WITHOUT + * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ + +#include "arm_math.h" + +/** + * @ingroup groupCmplxMath + */ + +/** + * @defgroup cmplx_conj Complex Conjugate + * + * Conjugates the elements of a complex data vector. + * + * The pSrc points to the source data and + * pDst points to the where the result should be written. + * numSamples specifies the number of complex samples + * and the data in each array is stored in an interleaved fashion + * (real, imag, real, imag, ...). + * Each array has a total of 2*numSamples values. + * The underlying algorithm is used: + * + *
+ * for(n=0; n
+ *
+ * There are separate functions for floating-point, Q15, and Q31 data types.
+ */
+
+/**
+ * @addtogroup cmplx_conj
+ * @{
+ */
+
+/**
+ * @brief  Floating-point complex conjugate.
+ * @param  *pSrc points to the input vector
+ * @param  *pDst points to the output vector
+ * @param  numSamples number of complex samples in each vector
+ * @return none.
+ */
+
+void arm_cmplx_conj_f32(
+  float32_t * pSrc,
+  float32_t * pDst,
+  uint32_t numSamples)
+{
+  uint32_t blkCnt;                               /* loop counter */
+
+#if defined (ARM_MATH_DSP)
+
+  /* Run the below code for Cortex-M4 and Cortex-M3 */
+  float32_t inR1, inR2, inR3, inR4;
+  float32_t inI1, inI2, inI3, inI4;
+
+  /*loop Unrolling */
+  blkCnt = numSamples >> 2U;
+
+  /* First part of the processing with loop unrolling.  Compute 4 outputs at a time.
+   ** a second loop below computes the remaining 1 to 3 samples. */
+  while (blkCnt > 0U)
+  {
+    /* C[0]+jC[1] = A[0]+ j (-1) A[1] */
+    /* Calculate Complex Conjugate and then store the results in the destination buffer. */
+    /* read real input samples */
+    inR1 = pSrc[0];
+    /* store real samples to destination */
+    pDst[0] = inR1;
+    inR2 = pSrc[2];
+    pDst[2] = inR2;
+    inR3 = pSrc[4];
+    pDst[4] = inR3;
+    inR4 = pSrc[6];
+    pDst[6] = inR4;
+
+    /* read imaginary input samples */
+    inI1 = pSrc[1];
+    inI2 = pSrc[3];
+
+    /* conjugate input */
+    inI1 = -inI1;
+
+    /* read imaginary input samples */
+    inI3 = pSrc[5];
+
+    /* conjugate input */
+    inI2 = -inI2;
+
+    /* read imaginary input samples */
+    inI4 = pSrc[7];
+
+    /* conjugate input */
+    inI3 = -inI3;
+
+    /* store imaginary samples to destination */
+    pDst[1] = inI1;
+    pDst[3] = inI2;
+
+    /* conjugate input */
+    inI4 = -inI4;
+
+    /* store imaginary samples to destination */
+    pDst[5] = inI3;
+
+    /* increment source pointer by 8 to process next sampels */
+    pSrc += 8U;
+
+    /* store imaginary sample to destination */
+    pDst[7] = inI4;
+
+    /* increment destination pointer by 8 to store next samples */
+    pDst += 8U;
+
+    /* Decrement the loop counter */
+    blkCnt--;
+  }
+
+  /* If the numSamples is not a multiple of 4, compute any remaining output samples here.
+   ** No loop unrolling is used. */
+  blkCnt = numSamples % 0x4U;
+
+#else
+
+  /* Run the below code for Cortex-M0 */
+  blkCnt = numSamples;
+
+#endif /* #if defined (ARM_MATH_DSP) */
+
+  while (blkCnt > 0U)
+  {
+    /* realOut + j (imagOut) = realIn + j (-1) imagIn */
+    /* Calculate Complex Conjugate and then store the results in the destination buffer. */
+    *pDst++ = *pSrc++;
+    *pDst++ = -*pSrc++;
+
+    /* Decrement the loop counter */
+    blkCnt--;
+  }
+}
+
+/**
+ * @} end of cmplx_conj group
+ */
diff --git a/fw/hid-dials/Drivers/CMSIS/DSP/Source/ComplexMathFunctions/arm_cmplx_conj_q15.c b/fw/hid-dials/Drivers/CMSIS/DSP/Source/ComplexMathFunctions/arm_cmplx_conj_q15.c
new file mode 100644
index 0000000..1e371bd
--- /dev/null
+++ b/fw/hid-dials/Drivers/CMSIS/DSP/Source/ComplexMathFunctions/arm_cmplx_conj_q15.c
@@ -0,0 +1,149 @@
+/* ----------------------------------------------------------------------
+ * Project:      CMSIS DSP Library
+ * Title:        arm_cmplx_conj_q15.c
+ * Description:  Q15 complex conjugate
+ *
+ * $Date:        27. January 2017
+ * $Revision:    V.1.5.1
+ *
+ * Target Processor: Cortex-M cores
+ * -------------------------------------------------------------------- */
+/*
+ * Copyright (C) 2010-2017 ARM Limited or its affiliates. All rights reserved.
+ *
+ * SPDX-License-Identifier: Apache-2.0
+ *
+ * Licensed under the Apache License, Version 2.0 (the License); you may
+ * not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ * www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an AS IS BASIS, WITHOUT
+ * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+#include "arm_math.h"
+
+/**
+ * @ingroup groupCmplxMath
+ */
+
+/**
+ * @addtogroup cmplx_conj
+ * @{
+ */
+
+/**
+ * @brief  Q15 complex conjugate.
+ * @param  *pSrc points to the input vector
+ * @param  *pDst points to the output vector
+ * @param  numSamples number of complex samples in each vector
+ * @return none.
+ *
+ * Scaling and Overflow Behavior:
+ * \par
+ * The function uses saturating arithmetic.
+ * The Q15 value -1 (0x8000) will be saturated to the maximum allowable positive value 0x7FFF.
+ */
+
+void arm_cmplx_conj_q15(
+  q15_t * pSrc,
+  q15_t * pDst,
+  uint32_t numSamples)
+{
+
+#if defined (ARM_MATH_DSP)
+
+  /* Run the below code for Cortex-M4 and Cortex-M3 */
+  uint32_t blkCnt;                               /* loop counter */
+  q31_t in1, in2, in3, in4;
+  q31_t zero = 0;
+
+  /*loop Unrolling */
+  blkCnt = numSamples >> 2U;
+
+  /* First part of the processing with loop unrolling.  Compute 4 outputs at a time.
+   ** a second loop below computes the remaining 1 to 3 samples. */
+  while (blkCnt > 0U)
+  {
+    /* C[0]+jC[1] = A[0]+ j (-1) A[1] */
+    /* Calculate Complex Conjugate and then store the results in the destination buffer. */
+    in1 = *__SIMD32(pSrc)++;
+    in2 = *__SIMD32(pSrc)++;
+    in3 = *__SIMD32(pSrc)++;
+    in4 = *__SIMD32(pSrc)++;
+
+#ifndef ARM_MATH_BIG_ENDIAN
+
+    in1 = __QASX(zero, in1);
+    in2 = __QASX(zero, in2);
+    in3 = __QASX(zero, in3);
+    in4 = __QASX(zero, in4);
+
+#else
+
+    in1 = __QSAX(zero, in1);
+    in2 = __QSAX(zero, in2);
+    in3 = __QSAX(zero, in3);
+    in4 = __QSAX(zero, in4);
+
+#endif /* #ifndef ARM_MATH_BIG_ENDIAN */
+
+    in1 = ((uint32_t) in1 >> 16) | ((uint32_t) in1 << 16);
+    in2 = ((uint32_t) in2 >> 16) | ((uint32_t) in2 << 16);
+    in3 = ((uint32_t) in3 >> 16) | ((uint32_t) in3 << 16);
+    in4 = ((uint32_t) in4 >> 16) | ((uint32_t) in4 << 16);
+
+    *__SIMD32(pDst)++ = in1;
+    *__SIMD32(pDst)++ = in2;
+    *__SIMD32(pDst)++ = in3;
+    *__SIMD32(pDst)++ = in4;
+
+    /* Decrement the loop counter */
+    blkCnt--;
+  }
+
+  /* If the numSamples is not a multiple of 4, compute any remaining output samples here.
+   ** No loop unrolling is used. */
+  blkCnt = numSamples % 0x4U;
+
+  while (blkCnt > 0U)
+  {
+    /* C[0]+jC[1] = A[0]+ j (-1) A[1] */
+    /* Calculate Complex Conjugate and then store the results in the destination buffer. */
+    *pDst++ = *pSrc++;
+    *pDst++ = __SSAT(-*pSrc++, 16);
+
+    /* Decrement the loop counter */
+    blkCnt--;
+  }
+
+#else
+
+  q15_t in;
+
+  /* Run the below code for Cortex-M0 */
+
+  while (numSamples > 0U)
+  {
+    /* realOut + j (imagOut) = realIn+ j (-1) imagIn */
+    /* Calculate Complex Conjugate and then store the results in the destination buffer. */
+    *pDst++ = *pSrc++;
+    in = *pSrc++;
+    *pDst++ = (in == (q15_t) 0x8000) ? 0x7fff : -in;
+
+    /* Decrement the loop counter */
+    numSamples--;
+  }
+
+#endif /* #if defined (ARM_MATH_DSP) */
+
+}
+
+/**
+ * @} end of cmplx_conj group
+ */
diff --git a/fw/hid-dials/Drivers/CMSIS/DSP/Source/ComplexMathFunctions/arm_cmplx_conj_q31.c b/fw/hid-dials/Drivers/CMSIS/DSP/Source/ComplexMathFunctions/arm_cmplx_conj_q31.c
new file mode 100644
index 0000000..af14414
--- /dev/null
+++ b/fw/hid-dials/Drivers/CMSIS/DSP/Source/ComplexMathFunctions/arm_cmplx_conj_q31.c
@@ -0,0 +1,169 @@
+/* ----------------------------------------------------------------------
+ * Project:      CMSIS DSP Library
+ * Title:        arm_cmplx_conj_q31.c
+ * Description:  Q31 complex conjugate
+ *
+ * $Date:        27. January 2017
+ * $Revision:    V.1.5.1
+ *
+ * Target Processor: Cortex-M cores
+ * -------------------------------------------------------------------- */
+/*
+ * Copyright (C) 2010-2017 ARM Limited or its affiliates. All rights reserved.
+ *
+ * SPDX-License-Identifier: Apache-2.0
+ *
+ * Licensed under the Apache License, Version 2.0 (the License); you may
+ * not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ * www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an AS IS BASIS, WITHOUT
+ * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+#include "arm_math.h"
+
+/**
+ * @ingroup groupCmplxMath
+ */
+
+/**
+ * @addtogroup cmplx_conj
+ * @{
+ */
+
+/**
+ * @brief  Q31 complex conjugate.
+ * @param  *pSrc points to the input vector
+ * @param  *pDst points to the output vector
+ * @param  numSamples number of complex samples in each vector
+ * @return none.
+ *
+ * Scaling and Overflow Behavior:
+ * \par
+ * The function uses saturating arithmetic.
+ * The Q31 value -1 (0x80000000) will be saturated to the maximum allowable positive value 0x7FFFFFFF.
+ */
+
+void arm_cmplx_conj_q31(
+  q31_t * pSrc,
+  q31_t * pDst,
+  uint32_t numSamples)
+{
+  uint32_t blkCnt;                               /* loop counter */
+  q31_t in;                                      /* Input value */
+
+#if defined (ARM_MATH_DSP)
+
+  /* Run the below code for Cortex-M4 and Cortex-M3 */
+  q31_t inR1, inR2, inR3, inR4;                  /* Temporary real variables */
+  q31_t inI1, inI2, inI3, inI4;                  /* Temporary imaginary variables */
+
+  /*loop Unrolling */
+  blkCnt = numSamples >> 2U;
+
+  /* First part of the processing with loop unrolling.  Compute 4 outputs at a time.
+   ** a second loop below computes the remaining 1 to 3 samples. */
+  while (blkCnt > 0U)
+  {
+    /* C[0]+jC[1] = A[0]+ j (-1) A[1] */
+    /* Calculate Complex Conjugate and then store the results in the destination buffer. */
+    /* Saturated to 0x7fffffff if the input is -1(0x80000000) */
+    /* read real input sample */
+    inR1 = pSrc[0];
+    /* store real input sample */
+    pDst[0] = inR1;
+
+    /* read imaginary input sample */
+    inI1 = pSrc[1];
+
+    /* read real input sample */
+    inR2 = pSrc[2];
+    /* store real input sample */
+    pDst[2] = inR2;
+
+    /* read imaginary input sample */
+    inI2 = pSrc[3];
+
+    /* negate imaginary input sample */
+    inI1 = __QSUB(0, inI1);
+
+    /* read real input sample */
+    inR3 = pSrc[4];
+    /* store real input sample */
+    pDst[4] = inR3;
+
+    /* read imaginary input sample */
+    inI3 = pSrc[5];
+
+    /* negate imaginary input sample */
+    inI2 = __QSUB(0, inI2);
+
+    /* read real input sample */
+    inR4 = pSrc[6];
+    /* store real input sample */
+    pDst[6] = inR4;
+
+    /* negate imaginary input sample */
+    inI3 = __QSUB(0, inI3);
+
+    /* store imaginary input sample */
+    inI4 = pSrc[7];
+
+    /* store imaginary input samples */
+    pDst[1] = inI1;
+
+    /* negate imaginary input sample */
+    inI4 = __QSUB(0, inI4);
+
+    /* store imaginary input samples */
+    pDst[3] = inI2;
+
+    /* increment source pointer by 8 to proecess next samples */
+    pSrc += 8U;
+
+    /* store imaginary input samples */
+    pDst[5] = inI3;
+    pDst[7] = inI4;
+
+    /* increment destination pointer by 8 to process next samples */
+    pDst += 8U;
+
+    /* Decrement the loop counter */
+    blkCnt--;
+  }
+
+  /* If the numSamples is not a multiple of 4, compute any remaining output samples here.
+   ** No loop unrolling is used. */
+  blkCnt = numSamples % 0x4U;
+
+#else
+
+  /* Run the below code for Cortex-M0 */
+  blkCnt = numSamples;
+
+
+#endif /* #if defined (ARM_MATH_DSP) */
+
+  while (blkCnt > 0U)
+  {
+    /* C[0]+jC[1] = A[0]+ j (-1) A[1] */
+    /* Calculate Complex Conjugate and then store the results in the destination buffer. */
+    /* Saturated to 0x7fffffff if the input is -1(0x80000000) */
+    *pDst++ = *pSrc++;
+    in = *pSrc++;
+    *pDst++ = (in == INT32_MIN) ? INT32_MAX : -in;
+
+    /* Decrement the loop counter */
+    blkCnt--;
+  }
+}
+
+/**
+ * @} end of cmplx_conj group
+ */
diff --git a/fw/hid-dials/Drivers/CMSIS/DSP/Source/ComplexMathFunctions/arm_cmplx_dot_prod_f32.c b/fw/hid-dials/Drivers/CMSIS/DSP/Source/ComplexMathFunctions/arm_cmplx_dot_prod_f32.c
new file mode 100644
index 0000000..aac177f
--- /dev/null
+++ b/fw/hid-dials/Drivers/CMSIS/DSP/Source/ComplexMathFunctions/arm_cmplx_dot_prod_f32.c
@@ -0,0 +1,191 @@
+/* ----------------------------------------------------------------------
+ * Project:      CMSIS DSP Library
+ * Title:        arm_cmplx_dot_prod_f32.c
+ * Description:  Floating-point complex dot product
+ *
+ * $Date:        27. January 2017
+ * $Revision:    V.1.5.1
+ *
+ * Target Processor: Cortex-M cores
+ * -------------------------------------------------------------------- */
+/*
+ * Copyright (C) 2010-2017 ARM Limited or its affiliates. All rights reserved.
+ *
+ * SPDX-License-Identifier: Apache-2.0
+ *
+ * Licensed under the Apache License, Version 2.0 (the License); you may
+ * not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ * www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an AS IS BASIS, WITHOUT
+ * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+#include "arm_math.h"
+
+/**
+ * @ingroup groupCmplxMath
+ */
+
+/**
+ * @defgroup cmplx_dot_prod Complex Dot Product
+ *
+ * Computes the dot product of two complex vectors.
+ * The vectors are multiplied element-by-element and then summed.
+ *
+ * The pSrcA points to the first complex input vector and
+ * pSrcB points to the second complex input vector.
+ * numSamples specifies the number of complex samples
+ * and the data in each array is stored in an interleaved fashion
+ * (real, imag, real, imag, ...).
+ * Each array has a total of 2*numSamples values.
+ *
+ * The underlying algorithm is used:
+ * 
+ * realResult=0;
+ * imagResult=0;
+ * for(n=0; n
+ *
+ * There are separate functions for floating-point, Q15, and Q31 data types.
+ */
+
+/**
+ * @addtogroup cmplx_dot_prod
+ * @{
+ */
+
+/**
+ * @brief  Floating-point complex dot product
+ * @param  *pSrcA points to the first input vector
+ * @param  *pSrcB points to the second input vector
+ * @param  numSamples number of complex samples in each vector
+ * @param  *realResult real part of the result returned here
+ * @param  *imagResult imaginary part of the result returned here
+ * @return none.
+ */
+
+void arm_cmplx_dot_prod_f32(
+  float32_t * pSrcA,
+  float32_t * pSrcB,
+  uint32_t numSamples,
+  float32_t * realResult,
+  float32_t * imagResult)
+{
+  float32_t real_sum = 0.0f, imag_sum = 0.0f;    /* Temporary result storage */
+  float32_t a0,b0,c0,d0;
+
+#if defined (ARM_MATH_DSP)
+
+  /* Run the below code for Cortex-M4 and Cortex-M3 */
+  uint32_t blkCnt;                               /* loop counter */
+
+  /*loop Unrolling */
+  blkCnt = numSamples >> 2U;
+
+  /* First part of the processing with loop unrolling.  Compute 4 outputs at a time.
+   ** a second loop below computes the remaining 1 to 3 samples. */
+  while (blkCnt > 0U)
+  {
+      a0 = *pSrcA++;
+      b0 = *pSrcA++;
+      c0 = *pSrcB++;
+      d0 = *pSrcB++;
+
+      real_sum += a0 * c0;
+      imag_sum += a0 * d0;
+      real_sum -= b0 * d0;
+      imag_sum += b0 * c0;
+
+      a0 = *pSrcA++;
+      b0 = *pSrcA++;
+      c0 = *pSrcB++;
+      d0 = *pSrcB++;
+
+      real_sum += a0 * c0;
+      imag_sum += a0 * d0;
+      real_sum -= b0 * d0;
+      imag_sum += b0 * c0;
+
+      a0 = *pSrcA++;
+      b0 = *pSrcA++;
+      c0 = *pSrcB++;
+      d0 = *pSrcB++;
+
+      real_sum += a0 * c0;
+      imag_sum += a0 * d0;
+      real_sum -= b0 * d0;
+      imag_sum += b0 * c0;
+
+      a0 = *pSrcA++;
+      b0 = *pSrcA++;
+      c0 = *pSrcB++;
+      d0 = *pSrcB++;
+
+      real_sum += a0 * c0;
+      imag_sum += a0 * d0;
+      real_sum -= b0 * d0;
+      imag_sum += b0 * c0;
+
+      /* Decrement the loop counter */
+      blkCnt--;
+  }
+
+  /* If the numSamples is not a multiple of 4, compute any remaining output samples here.
+   ** No loop unrolling is used. */
+  blkCnt = numSamples & 0x3U;
+
+  while (blkCnt > 0U)
+  {
+      a0 = *pSrcA++;
+      b0 = *pSrcA++;
+      c0 = *pSrcB++;
+      d0 = *pSrcB++;
+
+      real_sum += a0 * c0;
+      imag_sum += a0 * d0;
+      real_sum -= b0 * d0;
+      imag_sum += b0 * c0;
+
+      /* Decrement the loop counter */
+      blkCnt--;
+  }
+
+#else
+
+  /* Run the below code for Cortex-M0 */
+
+  while (numSamples > 0U)
+  {
+      a0 = *pSrcA++;
+      b0 = *pSrcA++;
+      c0 = *pSrcB++;
+      d0 = *pSrcB++;
+
+      real_sum += a0 * c0;
+      imag_sum += a0 * d0;
+      real_sum -= b0 * d0;
+      imag_sum += b0 * c0;
+
+      /* Decrement the loop counter */
+      numSamples--;
+  }
+
+#endif /* #if defined (ARM_MATH_DSP) */
+
+  /* Store the real and imaginary results in the destination buffers */
+  *realResult = real_sum;
+  *imagResult = imag_sum;
+}
+
+/**
+ * @} end of cmplx_dot_prod group
+ */
diff --git a/fw/hid-dials/Drivers/CMSIS/DSP/Source/ComplexMathFunctions/arm_cmplx_dot_prod_q15.c b/fw/hid-dials/Drivers/CMSIS/DSP/Source/ComplexMathFunctions/arm_cmplx_dot_prod_q15.c
new file mode 100644
index 0000000..efe72a2
--- /dev/null
+++ b/fw/hid-dials/Drivers/CMSIS/DSP/Source/ComplexMathFunctions/arm_cmplx_dot_prod_q15.c
@@ -0,0 +1,177 @@
+/* ----------------------------------------------------------------------
+ * Project:      CMSIS DSP Library
+ * Title:        arm_cmplx_dot_prod_q15.c
+ * Description:  Processing function for the Q15 Complex Dot product
+ *
+ * $Date:        27. January 2017
+ * $Revision:    V.1.5.1
+ *
+ * Target Processor: Cortex-M cores
+ * -------------------------------------------------------------------- */
+/*
+ * Copyright (C) 2010-2017 ARM Limited or its affiliates. All rights reserved.
+ *
+ * SPDX-License-Identifier: Apache-2.0
+ *
+ * Licensed under the Apache License, Version 2.0 (the License); you may
+ * not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ * www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an AS IS BASIS, WITHOUT
+ * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+#include "arm_math.h"
+
+/**
+ * @ingroup groupCmplxMath
+ */
+
+/**
+ * @addtogroup cmplx_dot_prod
+ * @{
+ */
+
+/**
+ * @brief  Q15 complex dot product
+ * @param  *pSrcA points to the first input vector
+ * @param  *pSrcB points to the second input vector
+ * @param  numSamples number of complex samples in each vector
+ * @param  *realResult real part of the result returned here
+ * @param  *imagResult imaginary part of the result returned here
+ * @return none.
+ *
+ * Scaling and Overflow Behavior:
+ * \par
+ * The function is implemented using an internal 64-bit accumulator.
+ * The intermediate 1.15 by 1.15 multiplications are performed with full precision and yield a 2.30 result.
+ * These are accumulated in a 64-bit accumulator with 34.30 precision.
+ * As a final step, the accumulators are converted to 8.24 format.
+ * The return results realResult and imagResult are in 8.24 format.
+ */
+
+void arm_cmplx_dot_prod_q15(
+  q15_t * pSrcA,
+  q15_t * pSrcB,
+  uint32_t numSamples,
+  q31_t * realResult,
+  q31_t * imagResult)
+{
+  q63_t real_sum = 0, imag_sum = 0;              /* Temporary result storage */
+  q15_t a0,b0,c0,d0;
+
+#if defined (ARM_MATH_DSP)
+
+  /* Run the below code for Cortex-M4 and Cortex-M3 */
+  uint32_t blkCnt;                               /* loop counter */
+
+
+  /*loop Unrolling */
+  blkCnt = numSamples >> 2U;
+
+  /* First part of the processing with loop unrolling.  Compute 4 outputs at a time.
+   ** a second loop below computes the remaining 1 to 3 samples. */
+  while (blkCnt > 0U)
+  {
+      a0 = *pSrcA++;
+      b0 = *pSrcA++;
+      c0 = *pSrcB++;
+      d0 = *pSrcB++;
+
+      real_sum += (q31_t)a0 * c0;
+      imag_sum += (q31_t)a0 * d0;
+      real_sum -= (q31_t)b0 * d0;
+      imag_sum += (q31_t)b0 * c0;
+
+      a0 = *pSrcA++;
+      b0 = *pSrcA++;
+      c0 = *pSrcB++;
+      d0 = *pSrcB++;
+
+      real_sum += (q31_t)a0 * c0;
+      imag_sum += (q31_t)a0 * d0;
+      real_sum -= (q31_t)b0 * d0;
+      imag_sum += (q31_t)b0 * c0;
+
+      a0 = *pSrcA++;
+      b0 = *pSrcA++;
+      c0 = *pSrcB++;
+      d0 = *pSrcB++;
+
+      real_sum += (q31_t)a0 * c0;
+      imag_sum += (q31_t)a0 * d0;
+      real_sum -= (q31_t)b0 * d0;
+      imag_sum += (q31_t)b0 * c0;
+
+      a0 = *pSrcA++;
+      b0 = *pSrcA++;
+      c0 = *pSrcB++;
+      d0 = *pSrcB++;
+
+      real_sum += (q31_t)a0 * c0;
+      imag_sum += (q31_t)a0 * d0;
+      real_sum -= (q31_t)b0 * d0;
+      imag_sum += (q31_t)b0 * c0;
+
+      /* Decrement the loop counter */
+      blkCnt--;
+  }
+
+  /* If the numSamples is not a multiple of 4, compute any remaining output samples here.
+   ** No loop unrolling is used. */
+  blkCnt = numSamples % 0x4U;
+
+  while (blkCnt > 0U)
+  {
+      a0 = *pSrcA++;
+      b0 = *pSrcA++;
+      c0 = *pSrcB++;
+      d0 = *pSrcB++;
+
+      real_sum += (q31_t)a0 * c0;
+      imag_sum += (q31_t)a0 * d0;
+      real_sum -= (q31_t)b0 * d0;
+      imag_sum += (q31_t)b0 * c0;
+
+      /* Decrement the loop counter */
+      blkCnt--;
+  }
+
+#else
+
+  /* Run the below code for Cortex-M0 */
+
+  while (numSamples > 0U)
+  {
+      a0 = *pSrcA++;
+      b0 = *pSrcA++;
+      c0 = *pSrcB++;
+      d0 = *pSrcB++;
+
+      real_sum += a0 * c0;
+      imag_sum += a0 * d0;
+      real_sum -= b0 * d0;
+      imag_sum += b0 * c0;
+
+
+      /* Decrement the loop counter */
+      numSamples--;
+  }
+
+#endif /* #if defined (ARM_MATH_DSP) */
+
+  /* Store the real and imaginary results in 8.24 format  */
+  /* Convert real data in 34.30 to 8.24 by 6 right shifts */
+  *realResult = (q31_t) (real_sum >> 6);
+  /* Convert imaginary data in 34.30 to 8.24 by 6 right shifts */
+  *imagResult = (q31_t) (imag_sum >> 6);
+}
+
+/**
+ * @} end of cmplx_dot_prod group
+ */
diff --git a/fw/hid-dials/Drivers/CMSIS/DSP/Source/ComplexMathFunctions/arm_cmplx_dot_prod_q31.c b/fw/hid-dials/Drivers/CMSIS/DSP/Source/ComplexMathFunctions/arm_cmplx_dot_prod_q31.c
new file mode 100644
index 0000000..dfd3a4b
--- /dev/null
+++ b/fw/hid-dials/Drivers/CMSIS/DSP/Source/ComplexMathFunctions/arm_cmplx_dot_prod_q31.c
@@ -0,0 +1,175 @@
+/* ----------------------------------------------------------------------
+ * Project:      CMSIS DSP Library
+ * Title:        arm_cmplx_dot_prod_q31.c
+ * Description:  Q31 complex dot product
+ *
+ * $Date:        27. January 2017
+ * $Revision:    V.1.5.1
+ *
+ * Target Processor: Cortex-M cores
+ * -------------------------------------------------------------------- */
+/*
+ * Copyright (C) 2010-2017 ARM Limited or its affiliates. All rights reserved.
+ *
+ * SPDX-License-Identifier: Apache-2.0
+ *
+ * Licensed under the Apache License, Version 2.0 (the License); you may
+ * not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ * www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an AS IS BASIS, WITHOUT
+ * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+#include "arm_math.h"
+
+/**
+ * @ingroup groupCmplxMath
+ */
+
+/**
+ * @addtogroup cmplx_dot_prod
+ * @{
+ */
+
+/**
+ * @brief  Q31 complex dot product
+ * @param  *pSrcA points to the first input vector
+ * @param  *pSrcB points to the second input vector
+ * @param  numSamples number of complex samples in each vector
+ * @param  *realResult real part of the result returned here
+ * @param  *imagResult imaginary part of the result returned here
+ * @return none.
+ *
+ * Scaling and Overflow Behavior:
+ * \par
+ * The function is implemented using an internal 64-bit accumulator.
+ * The intermediate 1.31 by 1.31 multiplications are performed with 64-bit precision and then shifted to 16.48 format.
+ * The internal real and imaginary accumulators are in 16.48 format and provide 15 guard bits.
+ * Additions are nonsaturating and no overflow will occur as long as numSamples is less than 32768.
+ * The return results realResult and imagResult are in 16.48 format.
+ * Input down scaling is not required.
+ */
+
+void arm_cmplx_dot_prod_q31(
+  q31_t * pSrcA,
+  q31_t * pSrcB,
+  uint32_t numSamples,
+  q63_t * realResult,
+  q63_t * imagResult)
+{
+  q63_t real_sum = 0, imag_sum = 0;              /* Temporary result storage */
+  q31_t a0,b0,c0,d0;
+
+#if defined (ARM_MATH_DSP)
+
+  /* Run the below code for Cortex-M4 and Cortex-M3 */
+  uint32_t blkCnt;                               /* loop counter */
+
+
+  /*loop Unrolling */
+  blkCnt = numSamples >> 2U;
+
+  /* First part of the processing with loop unrolling.  Compute 4 outputs at a time.
+   ** a second loop below computes the remaining 1 to 3 samples. */
+  while (blkCnt > 0U)
+  {
+      a0 = *pSrcA++;
+      b0 = *pSrcA++;
+      c0 = *pSrcB++;
+      d0 = *pSrcB++;
+
+      real_sum += ((q63_t)a0 * c0) >> 14;
+      imag_sum += ((q63_t)a0 * d0) >> 14;
+      real_sum -= ((q63_t)b0 * d0) >> 14;
+      imag_sum += ((q63_t)b0 * c0) >> 14;
+
+      a0 = *pSrcA++;
+      b0 = *pSrcA++;
+      c0 = *pSrcB++;
+      d0 = *pSrcB++;
+
+      real_sum += ((q63_t)a0 * c0) >> 14;
+      imag_sum += ((q63_t)a0 * d0) >> 14;
+      real_sum -= ((q63_t)b0 * d0) >> 14;
+      imag_sum += ((q63_t)b0 * c0) >> 14;
+
+      a0 = *pSrcA++;
+      b0 = *pSrcA++;
+      c0 = *pSrcB++;
+      d0 = *pSrcB++;
+
+      real_sum += ((q63_t)a0 * c0) >> 14;
+      imag_sum += ((q63_t)a0 * d0) >> 14;
+      real_sum -= ((q63_t)b0 * d0) >> 14;
+      imag_sum += ((q63_t)b0 * c0) >> 14;
+
+      a0 = *pSrcA++;
+      b0 = *pSrcA++;
+      c0 = *pSrcB++;
+      d0 = *pSrcB++;
+
+      real_sum += ((q63_t)a0 * c0) >> 14;
+      imag_sum += ((q63_t)a0 * d0) >> 14;
+      real_sum -= ((q63_t)b0 * d0) >> 14;
+      imag_sum += ((q63_t)b0 * c0) >> 14;
+
+      /* Decrement the loop counter */
+      blkCnt--;
+  }
+
+  /* If the numSamples  is not a multiple of 4, compute any remaining output samples here.
+   ** No loop unrolling is used. */
+  blkCnt = numSamples % 0x4U;
+
+  while (blkCnt > 0U)
+  {
+      a0 = *pSrcA++;
+      b0 = *pSrcA++;
+      c0 = *pSrcB++;
+      d0 = *pSrcB++;
+
+      real_sum += ((q63_t)a0 * c0) >> 14;
+      imag_sum += ((q63_t)a0 * d0) >> 14;
+      real_sum -= ((q63_t)b0 * d0) >> 14;
+      imag_sum += ((q63_t)b0 * c0) >> 14;
+
+      /* Decrement the loop counter */
+      blkCnt--;
+  }
+
+#else
+
+  /* Run the below code for Cortex-M0 */
+
+  while (numSamples > 0U)
+  {
+      a0 = *pSrcA++;
+      b0 = *pSrcA++;
+      c0 = *pSrcB++;
+      d0 = *pSrcB++;
+
+      real_sum += ((q63_t)a0 * c0) >> 14;
+      imag_sum += ((q63_t)a0 * d0) >> 14;
+      real_sum -= ((q63_t)b0 * d0) >> 14;
+      imag_sum += ((q63_t)b0 * c0) >> 14;
+
+      /* Decrement the loop counter */
+      numSamples--;
+  }
+
+#endif /* #if defined (ARM_MATH_DSP) */
+
+  /* Store the real and imaginary results in 16.48 format  */
+  *realResult = real_sum;
+  *imagResult = imag_sum;
+}
+
+/**
+ * @} end of cmplx_dot_prod group
+ */
diff --git a/fw/hid-dials/Drivers/CMSIS/DSP/Source/ComplexMathFunctions/arm_cmplx_mag_f32.c b/fw/hid-dials/Drivers/CMSIS/DSP/Source/ComplexMathFunctions/arm_cmplx_mag_f32.c
new file mode 100644
index 0000000..6c8be8f
--- /dev/null
+++ b/fw/hid-dials/Drivers/CMSIS/DSP/Source/ComplexMathFunctions/arm_cmplx_mag_f32.c
@@ -0,0 +1,153 @@
+/* ----------------------------------------------------------------------
+ * Project:      CMSIS DSP Library
+ * Title:        arm_cmplx_mag_f32.c
+ * Description:  Floating-point complex magnitude
+ *
+ * $Date:        27. January 2017
+ * $Revision:    V.1.5.1
+ *
+ * Target Processor: Cortex-M cores
+ * -------------------------------------------------------------------- */
+/*
+ * Copyright (C) 2010-2017 ARM Limited or its affiliates. All rights reserved.
+ *
+ * SPDX-License-Identifier: Apache-2.0
+ *
+ * Licensed under the Apache License, Version 2.0 (the License); you may
+ * not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ * www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an AS IS BASIS, WITHOUT
+ * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+#include "arm_math.h"
+
+/**
+ * @ingroup groupCmplxMath
+ */
+
+/**
+ * @defgroup cmplx_mag Complex Magnitude
+ *
+ * Computes the magnitude of the elements of a complex data vector.
+ *
+ * The pSrc points to the source data and
+ * pDst points to the where the result should be written.
+ * numSamples specifies the number of complex samples
+ * in the input array and the data is stored in an interleaved fashion
+ * (real, imag, real, imag, ...).
+ * The input array has a total of 2*numSamples values;
+ * the output array has a total of numSamples values.
+ * The underlying algorithm is used:
+ *
+ * 
+ * for(n=0; n
+ *
+ * There are separate functions for floating-point, Q15, and Q31 data types.
+ */
+
+/**
+ * @addtogroup cmplx_mag
+ * @{
+ */
+/**
+ * @brief Floating-point complex magnitude.
+ * @param[in]       *pSrc points to complex input buffer
+ * @param[out]      *pDst points to real output buffer
+ * @param[in]       numSamples number of complex samples in the input vector
+ * @return none.
+ *
+ */
+
+
+void arm_cmplx_mag_f32(
+  float32_t * pSrc,
+  float32_t * pDst,
+  uint32_t numSamples)
+{
+  float32_t realIn, imagIn;                      /* Temporary variables to hold input values */
+
+#if defined (ARM_MATH_DSP)
+
+  /* Run the below code for Cortex-M4 and Cortex-M3 */
+  uint32_t blkCnt;                               /* loop counter */
+
+  /*loop Unrolling */
+  blkCnt = numSamples >> 2U;
+
+  /* First part of the processing with loop unrolling.  Compute 4 outputs at a time.
+   ** a second loop below computes the remaining 1 to 3 samples. */
+  while (blkCnt > 0U)
+  {
+
+    /* C[0] = sqrt(A[0] * A[0] + A[1] * A[1]) */
+    realIn = *pSrc++;
+    imagIn = *pSrc++;
+    /* store the result in the destination buffer. */
+    arm_sqrt_f32((realIn * realIn) + (imagIn * imagIn), pDst++);
+
+    realIn = *pSrc++;
+    imagIn = *pSrc++;
+    arm_sqrt_f32((realIn * realIn) + (imagIn * imagIn), pDst++);
+
+    realIn = *pSrc++;
+    imagIn = *pSrc++;
+    arm_sqrt_f32((realIn * realIn) + (imagIn * imagIn), pDst++);
+
+    realIn = *pSrc++;
+    imagIn = *pSrc++;
+    arm_sqrt_f32((realIn * realIn) + (imagIn * imagIn), pDst++);
+
+
+    /* Decrement the loop counter */
+    blkCnt--;
+  }
+
+  /* If the numSamples is not a multiple of 4, compute any remaining output samples here.
+   ** No loop unrolling is used. */
+  blkCnt = numSamples % 0x4U;
+
+  while (blkCnt > 0U)
+  {
+    /* C[0] = sqrt(A[0] * A[0] + A[1] * A[1]) */
+    realIn = *pSrc++;
+    imagIn = *pSrc++;
+    /* store the result in the destination buffer. */
+    arm_sqrt_f32((realIn * realIn) + (imagIn * imagIn), pDst++);
+
+    /* Decrement the loop counter */
+    blkCnt--;
+  }
+
+#else
+
+  /* Run the below code for Cortex-M0 */
+
+  while (numSamples > 0U)
+  {
+    /* out = sqrt((real * real) + (imag * imag)) */
+    realIn = *pSrc++;
+    imagIn = *pSrc++;
+    /* store the result in the destination buffer. */
+    arm_sqrt_f32((realIn * realIn) + (imagIn * imagIn), pDst++);
+
+    /* Decrement the loop counter */
+    numSamples--;
+  }
+
+#endif /* #if defined (ARM_MATH_DSP) */
+
+}
+
+/**
+ * @} end of cmplx_mag group
+ */
diff --git a/fw/hid-dials/Drivers/CMSIS/DSP/Source/ComplexMathFunctions/arm_cmplx_mag_q15.c b/fw/hid-dials/Drivers/CMSIS/DSP/Source/ComplexMathFunctions/arm_cmplx_mag_q15.c
new file mode 100644
index 0000000..445c996
--- /dev/null
+++ b/fw/hid-dials/Drivers/CMSIS/DSP/Source/ComplexMathFunctions/arm_cmplx_mag_q15.c
@@ -0,0 +1,141 @@
+/* ----------------------------------------------------------------------
+ * Project:      CMSIS DSP Library
+ * Title:        arm_cmplx_mag_q15.c
+ * Description:  Q15 complex magnitude
+ *
+ * $Date:        27. January 2017
+ * $Revision:    V.1.5.1
+ *
+ * Target Processor: Cortex-M cores
+ * -------------------------------------------------------------------- */
+/*
+ * Copyright (C) 2010-2017 ARM Limited or its affiliates. All rights reserved.
+ *
+ * SPDX-License-Identifier: Apache-2.0
+ *
+ * Licensed under the Apache License, Version 2.0 (the License); you may
+ * not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ * www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an AS IS BASIS, WITHOUT
+ * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+#include "arm_math.h"
+
+/**
+ * @ingroup groupCmplxMath
+ */
+
+/**
+ * @addtogroup cmplx_mag
+ * @{
+ */
+
+
+/**
+ * @brief  Q15 complex magnitude
+ * @param  *pSrc points to the complex input vector
+ * @param  *pDst points to the real output vector
+ * @param  numSamples number of complex samples in the input vector
+ * @return none.
+ *
+ * Scaling and Overflow Behavior:
+ * \par
+ * The function implements 1.15 by 1.15 multiplications and finally output is converted into 2.14 format.
+ */
+
+void arm_cmplx_mag_q15(
+  q15_t * pSrc,
+  q15_t * pDst,
+  uint32_t numSamples)
+{
+  q31_t acc0, acc1;                              /* Accumulators */
+
+#if defined (ARM_MATH_DSP)
+
+  /* Run the below code for Cortex-M4 and Cortex-M3 */
+  uint32_t blkCnt;                               /* loop counter */
+  q31_t in1, in2, in3, in4;
+  q31_t acc2, acc3;
+
+
+  /*loop Unrolling */
+  blkCnt = numSamples >> 2U;
+
+  /* First part of the processing with loop unrolling.  Compute 4 outputs at a time.
+   ** a second loop below computes the remaining 1 to 3 samples. */
+  while (blkCnt > 0U)
+  {
+
+    /* C[0] = sqrt(A[0] * A[0] + A[1] * A[1]) */
+    in1 = *__SIMD32(pSrc)++;
+    in2 = *__SIMD32(pSrc)++;
+    in3 = *__SIMD32(pSrc)++;
+    in4 = *__SIMD32(pSrc)++;
+
+    acc0 = __SMUAD(in1, in1);
+    acc1 = __SMUAD(in2, in2);
+    acc2 = __SMUAD(in3, in3);
+    acc3 = __SMUAD(in4, in4);
+
+    /* store the result in 2.14 format in the destination buffer. */
+    arm_sqrt_q15((q15_t) ((acc0) >> 17), pDst++);
+    arm_sqrt_q15((q15_t) ((acc1) >> 17), pDst++);
+    arm_sqrt_q15((q15_t) ((acc2) >> 17), pDst++);
+    arm_sqrt_q15((q15_t) ((acc3) >> 17), pDst++);
+
+    /* Decrement the loop counter */
+    blkCnt--;
+  }
+
+  /* If the numSamples is not a multiple of 4, compute any remaining output samples here.
+   ** No loop unrolling is used. */
+  blkCnt = numSamples % 0x4U;
+
+  while (blkCnt > 0U)
+  {
+    /* C[0] = sqrt(A[0] * A[0] + A[1] * A[1]) */
+    in1 = *__SIMD32(pSrc)++;
+    acc0 = __SMUAD(in1, in1);
+
+    /* store the result in 2.14 format in the destination buffer. */
+    arm_sqrt_q15((q15_t) (acc0 >> 17), pDst++);
+
+    /* Decrement the loop counter */
+    blkCnt--;
+  }
+
+#else
+
+  /* Run the below code for Cortex-M0 */
+  q15_t real, imag;                              /* Temporary variables to hold input values */
+
+  while (numSamples > 0U)
+  {
+    /* out = sqrt(real * real + imag * imag) */
+    real = *pSrc++;
+    imag = *pSrc++;
+
+    acc0 = (real * real);
+    acc1 = (imag * imag);
+
+    /* store the result in 2.14 format in the destination buffer. */
+    arm_sqrt_q15((q15_t) (((q63_t) acc0 + acc1) >> 17), pDst++);
+
+    /* Decrement the loop counter */
+    numSamples--;
+  }
+
+#endif /* #if defined (ARM_MATH_DSP) */
+
+}
+
+/**
+ * @} end of cmplx_mag group
+ */
diff --git a/fw/hid-dials/Drivers/CMSIS/DSP/Source/ComplexMathFunctions/arm_cmplx_mag_q31.c b/fw/hid-dials/Drivers/CMSIS/DSP/Source/ComplexMathFunctions/arm_cmplx_mag_q31.c
new file mode 100644
index 0000000..c1fdfdf
--- /dev/null
+++ b/fw/hid-dials/Drivers/CMSIS/DSP/Source/ComplexMathFunctions/arm_cmplx_mag_q31.c
@@ -0,0 +1,173 @@
+/* ----------------------------------------------------------------------
+ * Project:      CMSIS DSP Library
+ * Title:        arm_cmplx_mag_q31.c
+ * Description:  Q31 complex magnitude
+ *
+ * $Date:        27. January 2017
+ * $Revision:    V.1.5.1
+ *
+ * Target Processor: Cortex-M cores
+ * -------------------------------------------------------------------- */
+/*
+ * Copyright (C) 2010-2017 ARM Limited or its affiliates. All rights reserved.
+ *
+ * SPDX-License-Identifier: Apache-2.0
+ *
+ * Licensed under the Apache License, Version 2.0 (the License); you may
+ * not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ * www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an AS IS BASIS, WITHOUT
+ * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+#include "arm_math.h"
+
+/**
+ * @ingroup groupCmplxMath
+ */
+
+/**
+ * @addtogroup cmplx_mag
+ * @{
+ */
+
+/**
+ * @brief  Q31 complex magnitude
+ * @param  *pSrc points to the complex input vector
+ * @param  *pDst points to the real output vector
+ * @param  numSamples number of complex samples in the input vector
+ * @return none.
+ *
+ * Scaling and Overflow Behavior:
+ * \par
+ * The function implements 1.31 by 1.31 multiplications and finally output is converted into 2.30 format.
+ * Input down scaling is not required.
+ */
+
+void arm_cmplx_mag_q31(
+  q31_t * pSrc,
+  q31_t * pDst,
+  uint32_t numSamples)
+{
+  q31_t real, imag;                              /* Temporary variables to hold input values */
+  q31_t acc0, acc1;                              /* Accumulators */
+  uint32_t blkCnt;                               /* loop counter */
+
+#if defined (ARM_MATH_DSP)
+
+  /* Run the below code for Cortex-M4 and Cortex-M3 */
+  q31_t real1, real2, imag1, imag2;              /* Temporary variables to hold input values */
+  q31_t out1, out2, out3, out4;                  /* Accumulators */
+  q63_t mul1, mul2, mul3, mul4;                  /* Temporary variables */
+
+
+  /*loop Unrolling */
+  blkCnt = numSamples >> 2U;
+
+  /* First part of the processing with loop unrolling.  Compute 4 outputs at a time.
+   ** a second loop below computes the remaining 1 to 3 samples. */
+  while (blkCnt > 0U)
+  {
+    /* read complex input from source buffer */
+    real1 = pSrc[0];
+    imag1 = pSrc[1];
+    real2 = pSrc[2];
+    imag2 = pSrc[3];
+
+    /* calculate power of input values */
+    mul1 = (q63_t) real1 *real1;
+    mul2 = (q63_t) imag1 *imag1;
+    mul3 = (q63_t) real2 *real2;
+    mul4 = (q63_t) imag2 *imag2;
+
+    /* get the result to 3.29 format */
+    out1 = (q31_t) (mul1 >> 33);
+    out2 = (q31_t) (mul2 >> 33);
+    out3 = (q31_t) (mul3 >> 33);
+    out4 = (q31_t) (mul4 >> 33);
+
+    /* add real and imaginary accumulators */
+    out1 = out1 + out2;
+    out3 = out3 + out4;
+
+    /* read complex input from source buffer */
+    real1 = pSrc[4];
+    imag1 = pSrc[5];
+    real2 = pSrc[6];
+    imag2 = pSrc[7];
+
+    /* calculate square root */
+    arm_sqrt_q31(out1, &pDst[0]);
+
+    /* calculate power of input values */
+    mul1 = (q63_t) real1 *real1;
+
+    /* calculate square root */
+    arm_sqrt_q31(out3, &pDst[1]);
+
+    /* calculate power of input values */
+    mul2 = (q63_t) imag1 *imag1;
+    mul3 = (q63_t) real2 *real2;
+    mul4 = (q63_t) imag2 *imag2;
+
+    /* get the result to 3.29 format */
+    out1 = (q31_t) (mul1 >> 33);
+    out2 = (q31_t) (mul2 >> 33);
+    out3 = (q31_t) (mul3 >> 33);
+    out4 = (q31_t) (mul4 >> 33);
+
+    /* add real and imaginary accumulators */
+    out1 = out1 + out2;
+    out3 = out3 + out4;
+
+    /* calculate square root */
+    arm_sqrt_q31(out1, &pDst[2]);
+
+    /* increment destination by 8 to process next samples */
+    pSrc += 8U;
+
+    /* calculate square root */
+    arm_sqrt_q31(out3, &pDst[3]);
+
+    /* increment destination by 4 to process next samples */
+    pDst += 4U;
+
+    /* Decrement the loop counter */
+    blkCnt--;
+  }
+
+  /* If the numSamples is not a multiple of 4, compute any remaining output samples here.
+   ** No loop unrolling is used. */
+  blkCnt = numSamples % 0x4U;
+
+#else
+
+  /* Run the below code for Cortex-M0 */
+  blkCnt = numSamples;
+
+#endif /* #if defined (ARM_MATH_DSP) */
+
+  while (blkCnt > 0U)
+  {
+    /* C[0] = sqrt(A[0] * A[0] + A[1] * A[1]) */
+    real = *pSrc++;
+    imag = *pSrc++;
+    acc0 = (q31_t) (((q63_t) real * real) >> 33);
+    acc1 = (q31_t) (((q63_t) imag * imag) >> 33);
+    /* store the result in 2.30 format in the destination buffer. */
+    arm_sqrt_q31(acc0 + acc1, pDst++);
+
+    /* Decrement the loop counter */
+    blkCnt--;
+  }
+}
+
+/**
+ * @} end of cmplx_mag group
+ */
diff --git a/fw/hid-dials/Drivers/CMSIS/DSP/Source/ComplexMathFunctions/arm_cmplx_mag_squared_f32.c b/fw/hid-dials/Drivers/CMSIS/DSP/Source/ComplexMathFunctions/arm_cmplx_mag_squared_f32.c
new file mode 100644
index 0000000..a7a34a3
--- /dev/null
+++ b/fw/hid-dials/Drivers/CMSIS/DSP/Source/ComplexMathFunctions/arm_cmplx_mag_squared_f32.c
@@ -0,0 +1,204 @@
+/* ----------------------------------------------------------------------
+ * Project:      CMSIS DSP Library
+ * Title:        arm_cmplx_mag_squared_f32.c
+ * Description:  Floating-point complex magnitude squared
+ *
+ * $Date:        27. January 2017
+ * $Revision:    V.1.5.1
+ *
+ * Target Processor: Cortex-M cores
+ * -------------------------------------------------------------------- */
+/*
+ * Copyright (C) 2010-2017 ARM Limited or its affiliates. All rights reserved.
+ *
+ * SPDX-License-Identifier: Apache-2.0
+ *
+ * Licensed under the Apache License, Version 2.0 (the License); you may
+ * not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ * www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an AS IS BASIS, WITHOUT
+ * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+#include "arm_math.h"
+
+/**
+ * @ingroup groupCmplxMath
+ */
+
+/**
+ * @defgroup cmplx_mag_squared Complex Magnitude Squared
+ *
+ * Computes the magnitude squared of the elements of a complex data vector.
+ *
+ * The pSrc points to the source data and
+ * pDst points to the where the result should be written.
+ * numSamples specifies the number of complex samples
+ * in the input array and the data is stored in an interleaved fashion
+ * (real, imag, real, imag, ...).
+ * The input array has a total of 2*numSamples values;
+ * the output array has a total of numSamples values.
+ *
+ * The underlying algorithm is used:
+ *
+ * 
+ * for(n=0; n
+ *
+ * There are separate functions for floating-point, Q15, and Q31 data types.
+ */
+
+/**
+ * @addtogroup cmplx_mag_squared
+ * @{
+ */
+
+
+/**
+ * @brief  Floating-point complex magnitude squared
+ * @param[in]  *pSrc points to the complex input vector
+ * @param[out]  *pDst points to the real output vector
+ * @param[in]  numSamples number of complex samples in the input vector
+ * @return none.
+ */
+
+void arm_cmplx_mag_squared_f32(
+  float32_t * pSrc,
+  float32_t * pDst,
+  uint32_t numSamples)
+{
+  float32_t real, imag;                          /* Temporary variables to store real and imaginary values */
+  uint32_t blkCnt;                               /* loop counter */
+
+#if defined (ARM_MATH_DSP)
+  float32_t real1, real2, real3, real4;          /* Temporary variables to hold real values */
+  float32_t imag1, imag2, imag3, imag4;          /* Temporary variables to hold imaginary values */
+  float32_t mul1, mul2, mul3, mul4;              /* Temporary variables */
+  float32_t mul5, mul6, mul7, mul8;              /* Temporary variables */
+  float32_t out1, out2, out3, out4;              /* Temporary variables to hold output values */
+
+  /*loop Unrolling */
+  blkCnt = numSamples >> 2U;
+
+  /* First part of the processing with loop unrolling.  Compute 4 outputs at a time.
+   ** a second loop below computes the remaining 1 to 3 samples. */
+  while (blkCnt > 0U)
+  {
+    /* C[0] = (A[0] * A[0] + A[1] * A[1]) */
+    /* read real input sample from source buffer */
+    real1 = pSrc[0];
+    /* read imaginary input sample from source buffer */
+    imag1 = pSrc[1];
+
+    /* calculate power of real value */
+    mul1 = real1 * real1;
+
+    /* read real input sample from source buffer */
+    real2 = pSrc[2];
+
+    /* calculate power of imaginary value */
+    mul2 = imag1 * imag1;
+
+    /* read imaginary input sample from source buffer */
+    imag2 = pSrc[3];
+
+    /* calculate power of real value */
+    mul3 = real2 * real2;
+
+    /* read real input sample from source buffer */
+    real3 = pSrc[4];
+
+    /* calculate power of imaginary value */
+    mul4 = imag2 * imag2;
+
+    /* read imaginary input sample from source buffer */
+    imag3 = pSrc[5];
+
+    /* calculate power of real value */
+    mul5 = real3 * real3;
+    /* calculate power of imaginary value */
+    mul6 = imag3 * imag3;
+
+    /* read real input sample from source buffer */
+    real4 = pSrc[6];
+
+    /* accumulate real and imaginary powers */
+    out1 = mul1 + mul2;
+
+    /* read imaginary input sample from source buffer */
+    imag4 = pSrc[7];
+
+    /* accumulate real and imaginary powers */
+    out2 = mul3 + mul4;
+
+    /* calculate power of real value */
+    mul7 = real4 * real4;
+    /* calculate power of imaginary value */
+    mul8 = imag4 * imag4;
+
+    /* store output to destination */
+    pDst[0] = out1;
+
+    /* accumulate real and imaginary powers */
+    out3 = mul5 + mul6;
+
+    /* store output to destination */
+    pDst[1] = out2;
+
+    /* accumulate real and imaginary powers */
+    out4 = mul7 + mul8;
+
+    /* store output to destination */
+    pDst[2] = out3;
+
+    /* increment destination pointer by 8 to process next samples */
+    pSrc += 8U;
+
+    /* store output to destination */
+    pDst[3] = out4;
+
+    /* increment destination pointer by 4 to process next samples */
+    pDst += 4U;
+
+    /* Decrement the loop counter */
+    blkCnt--;
+  }
+
+  /* If the numSamples is not a multiple of 4, compute any remaining output samples here.
+   ** No loop unrolling is used. */
+  blkCnt = numSamples % 0x4U;
+
+#else
+
+  /* Run the below code for Cortex-M0 */
+
+  blkCnt = numSamples;
+
+#endif /* #if defined (ARM_MATH_DSP) */
+
+  while (blkCnt > 0U)
+  {
+    /* C[0] = (A[0] * A[0] + A[1] * A[1]) */
+    real = *pSrc++;
+    imag = *pSrc++;
+
+    /* out = (real * real) + (imag * imag) */
+    /* store the result in the destination buffer. */
+    *pDst++ = (real * real) + (imag * imag);
+
+    /* Decrement the loop counter */
+    blkCnt--;
+  }
+}
+
+/**
+ * @} end of cmplx_mag_squared group
+ */
diff --git a/fw/hid-dials/Drivers/CMSIS/DSP/Source/ComplexMathFunctions/arm_cmplx_mag_squared_q15.c b/fw/hid-dials/Drivers/CMSIS/DSP/Source/ComplexMathFunctions/arm_cmplx_mag_squared_q15.c
new file mode 100644
index 0000000..7876cdc
--- /dev/null
+++ b/fw/hid-dials/Drivers/CMSIS/DSP/Source/ComplexMathFunctions/arm_cmplx_mag_squared_q15.c
@@ -0,0 +1,136 @@
+/* ----------------------------------------------------------------------
+ * Project:      CMSIS DSP Library
+ * Title:        arm_cmplx_mag_squared_q15.c
+ * Description:  Q15 complex magnitude squared
+ *
+ * $Date:        27. January 2017
+ * $Revision:    V.1.5.1
+ *
+ * Target Processor: Cortex-M cores
+ * -------------------------------------------------------------------- */
+/*
+ * Copyright (C) 2010-2017 ARM Limited or its affiliates. All rights reserved.
+ *
+ * SPDX-License-Identifier: Apache-2.0
+ *
+ * Licensed under the Apache License, Version 2.0 (the License); you may
+ * not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ * www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an AS IS BASIS, WITHOUT
+ * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+#include "arm_math.h"
+
+/**
+ * @ingroup groupCmplxMath
+ */
+
+/**
+ * @addtogroup cmplx_mag_squared
+ * @{
+ */
+
+/**
+ * @brief  Q15 complex magnitude squared
+ * @param  *pSrc points to the complex input vector
+ * @param  *pDst points to the real output vector
+ * @param  numSamples number of complex samples in the input vector
+ * @return none.
+ *
+ * Scaling and Overflow Behavior:
+ * \par
+ * The function implements 1.15 by 1.15 multiplications and finally output is converted into 3.13 format.
+ */
+
+void arm_cmplx_mag_squared_q15(
+  q15_t * pSrc,
+  q15_t * pDst,
+  uint32_t numSamples)
+{
+  q31_t acc0, acc1;                              /* Accumulators */
+
+#if defined (ARM_MATH_DSP)
+
+  /* Run the below code for Cortex-M4 and Cortex-M3 */
+  uint32_t blkCnt;                               /* loop counter */
+  q31_t in1, in2, in3, in4;
+  q31_t acc2, acc3;
+
+  /*loop Unrolling */
+  blkCnt = numSamples >> 2U;
+
+  /* First part of the processing with loop unrolling.  Compute 4 outputs at a time.
+   ** a second loop below computes the remaining 1 to 3 samples. */
+  while (blkCnt > 0U)
+  {
+    /* C[0] = (A[0] * A[0] + A[1] * A[1]) */
+    in1 = *__SIMD32(pSrc)++;
+    in2 = *__SIMD32(pSrc)++;
+    in3 = *__SIMD32(pSrc)++;
+    in4 = *__SIMD32(pSrc)++;
+
+    acc0 = __SMUAD(in1, in1);
+    acc1 = __SMUAD(in2, in2);
+    acc2 = __SMUAD(in3, in3);
+    acc3 = __SMUAD(in4, in4);
+
+    /* store the result in 3.13 format in the destination buffer. */
+    *pDst++ = (q15_t) (acc0 >> 17);
+    *pDst++ = (q15_t) (acc1 >> 17);
+    *pDst++ = (q15_t) (acc2 >> 17);
+    *pDst++ = (q15_t) (acc3 >> 17);
+
+    /* Decrement the loop counter */
+    blkCnt--;
+  }
+
+  /* If the numSamples is not a multiple of 4, compute any remaining output samples here.
+   ** No loop unrolling is used. */
+  blkCnt = numSamples % 0x4U;
+
+  while (blkCnt > 0U)
+  {
+    /* C[0] = (A[0] * A[0] + A[1] * A[1]) */
+    in1 = *__SIMD32(pSrc)++;
+    acc0 = __SMUAD(in1, in1);
+
+    /* store the result in 3.13 format in the destination buffer. */
+    *pDst++ = (q15_t) (acc0 >> 17);
+
+    /* Decrement the loop counter */
+    blkCnt--;
+  }
+
+#else
+
+  /* Run the below code for Cortex-M0 */
+  q15_t real, imag;                              /* Temporary variables to store real and imaginary values */
+
+  while (numSamples > 0U)
+  {
+    /* out = ((real * real) + (imag * imag)) */
+    real = *pSrc++;
+    imag = *pSrc++;
+    acc0 = (real * real);
+    acc1 = (imag * imag);
+    /* store the result in 3.13 format in the destination buffer. */
+    *pDst++ = (q15_t) (((q63_t) acc0 + acc1) >> 17);
+
+    /* Decrement the loop counter */
+    numSamples--;
+  }
+
+#endif /* #if defined (ARM_MATH_DSP) */
+
+}
+
+/**
+ * @} end of cmplx_mag_squared group
+ */
diff --git a/fw/hid-dials/Drivers/CMSIS/DSP/Source/ComplexMathFunctions/arm_cmplx_mag_squared_q31.c b/fw/hid-dials/Drivers/CMSIS/DSP/Source/ComplexMathFunctions/arm_cmplx_mag_squared_q31.c
new file mode 100644
index 0000000..b9c0c0c
--- /dev/null
+++ b/fw/hid-dials/Drivers/CMSIS/DSP/Source/ComplexMathFunctions/arm_cmplx_mag_squared_q31.c
@@ -0,0 +1,149 @@
+/* ----------------------------------------------------------------------
+ * Project:      CMSIS DSP Library
+ * Title:        arm_cmplx_mag_squared_q31.c
+ * Description:  Q31 complex magnitude squared
+ *
+ * $Date:        27. January 2017
+ * $Revision:    V.1.5.1
+ *
+ * Target Processor: Cortex-M cores
+ * -------------------------------------------------------------------- */
+/*
+ * Copyright (C) 2010-2017 ARM Limited or its affiliates. All rights reserved.
+ *
+ * SPDX-License-Identifier: Apache-2.0
+ *
+ * Licensed under the Apache License, Version 2.0 (the License); you may
+ * not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ * www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an AS IS BASIS, WITHOUT
+ * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+#include "arm_math.h"
+
+/**
+ * @ingroup groupCmplxMath
+ */
+
+/**
+ * @addtogroup cmplx_mag_squared
+ * @{
+ */
+
+
+/**
+ * @brief  Q31 complex magnitude squared
+ * @param  *pSrc points to the complex input vector
+ * @param  *pDst points to the real output vector
+ * @param  numSamples number of complex samples in the input vector
+ * @return none.
+ *
+ * Scaling and Overflow Behavior:
+ * \par
+ * The function implements 1.31 by 1.31 multiplications and finally output is converted into 3.29 format.
+ * Input down scaling is not required.
+ */
+
+void arm_cmplx_mag_squared_q31(
+  q31_t * pSrc,
+  q31_t * pDst,
+  uint32_t numSamples)
+{
+  q31_t real, imag;                              /* Temporary variables to store real and imaginary values */
+  q31_t acc0, acc1;                              /* Accumulators */
+
+#if defined (ARM_MATH_DSP)
+
+  /* Run the below code for Cortex-M4 and Cortex-M3 */
+  uint32_t blkCnt;                               /* loop counter */
+
+  /* loop Unrolling */
+  blkCnt = numSamples >> 2U;
+
+  /* First part of the processing with loop unrolling.  Compute 4 outputs at a time.
+   ** a second loop below computes the remaining 1 to 3 samples. */
+  while (blkCnt > 0U)
+  {
+    /* C[0] = (A[0] * A[0] + A[1] * A[1]) */
+    real = *pSrc++;
+    imag = *pSrc++;
+    acc0 = (q31_t) (((q63_t) real * real) >> 33);
+    acc1 = (q31_t) (((q63_t) imag * imag) >> 33);
+    /* store the result in 3.29 format in the destination buffer. */
+    *pDst++ = acc0 + acc1;
+
+    real = *pSrc++;
+    imag = *pSrc++;
+    acc0 = (q31_t) (((q63_t) real * real) >> 33);
+    acc1 = (q31_t) (((q63_t) imag * imag) >> 33);
+    /* store the result in 3.29 format in the destination buffer. */
+    *pDst++ = acc0 + acc1;
+
+    real = *pSrc++;
+    imag = *pSrc++;
+    acc0 = (q31_t) (((q63_t) real * real) >> 33);
+    acc1 = (q31_t) (((q63_t) imag * imag) >> 33);
+    /* store the result in 3.29 format in the destination buffer. */
+    *pDst++ = acc0 + acc1;
+
+    real = *pSrc++;
+    imag = *pSrc++;
+    acc0 = (q31_t) (((q63_t) real * real) >> 33);
+    acc1 = (q31_t) (((q63_t) imag * imag) >> 33);
+    /* store the result in 3.29 format in the destination buffer. */
+    *pDst++ = acc0 + acc1;
+
+    /* Decrement the loop counter */
+    blkCnt--;
+  }
+
+  /* If the numSamples is not a multiple of 4, compute any remaining output samples here.
+   ** No loop unrolling is used. */
+  blkCnt = numSamples % 0x4U;
+
+  while (blkCnt > 0U)
+  {
+    /* C[0] = (A[0] * A[0] + A[1] * A[1]) */
+    real = *pSrc++;
+    imag = *pSrc++;
+    acc0 = (q31_t) (((q63_t) real * real) >> 33);
+    acc1 = (q31_t) (((q63_t) imag * imag) >> 33);
+    /* store the result in 3.29 format in the destination buffer. */
+    *pDst++ = acc0 + acc1;
+
+    /* Decrement the loop counter */
+    blkCnt--;
+  }
+
+#else
+
+  /* Run the below code for Cortex-M0 */
+
+  while (numSamples > 0U)
+  {
+    /* out = ((real * real) + (imag * imag)) */
+    real = *pSrc++;
+    imag = *pSrc++;
+    acc0 = (q31_t) (((q63_t) real * real) >> 33);
+    acc1 = (q31_t) (((q63_t) imag * imag) >> 33);
+    /* store the result in 3.29 format in the destination buffer. */
+    *pDst++ = acc0 + acc1;
+
+    /* Decrement the loop counter */
+    numSamples--;
+  }
+
+#endif /* #if defined (ARM_MATH_DSP) */
+
+}
+
+/**
+ * @} end of cmplx_mag_squared group
+ */
diff --git a/fw/hid-dials/Drivers/CMSIS/DSP/Source/ComplexMathFunctions/arm_cmplx_mult_cmplx_f32.c b/fw/hid-dials/Drivers/CMSIS/DSP/Source/ComplexMathFunctions/arm_cmplx_mult_cmplx_f32.c
new file mode 100644
index 0000000..90af35a
--- /dev/null
+++ b/fw/hid-dials/Drivers/CMSIS/DSP/Source/ComplexMathFunctions/arm_cmplx_mult_cmplx_f32.c
@@ -0,0 +1,196 @@
+/* ----------------------------------------------------------------------
+ * Project:      CMSIS DSP Library
+ * Title:        arm_cmplx_mult_cmplx_f32.c
+ * Description:  Floating-point complex-by-complex multiplication
+ *
+ * $Date:        27. January 2017
+ * $Revision:    V.1.5.1
+ *
+ * Target Processor: Cortex-M cores
+ * -------------------------------------------------------------------- */
+/*
+ * Copyright (C) 2010-2017 ARM Limited or its affiliates. All rights reserved.
+ *
+ * SPDX-License-Identifier: Apache-2.0
+ *
+ * Licensed under the Apache License, Version 2.0 (the License); you may
+ * not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ * www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an AS IS BASIS, WITHOUT
+ * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+#include "arm_math.h"
+
+/**
+ * @ingroup groupCmplxMath
+ */
+
+/**
+ * @defgroup CmplxByCmplxMult Complex-by-Complex Multiplication
+ *
+ * Multiplies a complex vector by another complex vector and generates a complex result.
+ * The data in the complex arrays is stored in an interleaved fashion
+ * (real, imag, real, imag, ...).
+ * The parameter numSamples represents the number of complex
+ * samples processed.  The complex arrays have a total of 2*numSamples
+ * real values.
+ *
+ * The underlying algorithm is used:
+ *
+ * 
+ * for(n=0; n
+ *
+ * There are separate functions for floating-point, Q15, and Q31 data types.
+ */
+
+/**
+ * @addtogroup CmplxByCmplxMult
+ * @{
+ */
+
+
+/**
+ * @brief  Floating-point complex-by-complex multiplication
+ * @param[in]  *pSrcA points to the first input vector
+ * @param[in]  *pSrcB points to the second input vector
+ * @param[out]  *pDst  points to the output vector
+ * @param[in]  numSamples number of complex samples in each vector
+ * @return none.
+ */
+
+void arm_cmplx_mult_cmplx_f32(
+  float32_t * pSrcA,
+  float32_t * pSrcB,
+  float32_t * pDst,
+  uint32_t numSamples)
+{
+  float32_t a1, b1, c1, d1;                      /* Temporary variables to store real and imaginary values */
+  uint32_t blkCnt;                               /* loop counters */
+
+#if defined (ARM_MATH_DSP)
+
+  /* Run the below code for Cortex-M4 and Cortex-M3 */
+  float32_t a2, b2, c2, d2;                      /* Temporary variables to store real and imaginary values */
+  float32_t acc1, acc2, acc3, acc4;
+
+
+  /* loop Unrolling */
+  blkCnt = numSamples >> 2U;
+
+  /* First part of the processing with loop unrolling.  Compute 4 outputs at a time.
+   ** a second loop below computes the remaining 1 to 3 samples. */
+  while (blkCnt > 0U)
+  {
+    /* C[2 * i] = A[2 * i] * B[2 * i] - A[2 * i + 1] * B[2 * i + 1].  */
+    /* C[2 * i + 1] = A[2 * i] * B[2 * i + 1] + A[2 * i + 1] * B[2 * i].  */
+    a1 = *pSrcA;                /* A[2 * i] */
+    c1 = *pSrcB;                /* B[2 * i] */
+
+    b1 = *(pSrcA + 1);          /* A[2 * i + 1] */
+    acc1 = a1 * c1;             /* acc1 = A[2 * i] * B[2 * i] */
+
+    a2 = *(pSrcA + 2);          /* A[2 * i + 2] */
+    acc2 = (b1 * c1);           /* acc2 = A[2 * i + 1] * B[2 * i] */
+
+    d1 = *(pSrcB + 1);          /* B[2 * i + 1] */
+    c2 = *(pSrcB + 2);          /* B[2 * i + 2] */
+    acc1 -= b1 * d1;            /* acc1 =      A[2 * i] * B[2 * i] - A[2 * i + 1] * B[2 * i + 1] */
+
+    d2 = *(pSrcB + 3);          /* B[2 * i + 3] */
+    acc3 = a2 * c2;             /* acc3 =       A[2 * i + 2] * B[2 * i + 2] */
+
+    b2 = *(pSrcA + 3);          /* A[2 * i + 3] */
+    acc2 += (a1 * d1);          /* acc2 =      A[2 * i + 1] * B[2 * i] + A[2 * i] * B[2 * i + 1] */
+
+    a1 = *(pSrcA + 4);          /* A[2 * i + 4] */
+    acc4 = (a2 * d2);           /* acc4 =   A[2 * i + 2] * B[2 * i + 3] */
+
+    c1 = *(pSrcB + 4);          /* B[2 * i + 4] */
+    acc3 -= (b2 * d2);          /* acc3 =       A[2 * i + 2] * B[2 * i + 2] - A[2 * i + 3] * B[2 * i + 3] */
+    *pDst = acc1;               /* C[2 * i] = A[2 * i] * B[2 * i] - A[2 * i + 1] * B[2 * i + 1] */
+
+    b1 = *(pSrcA + 5);          /* A[2 * i + 5] */
+    acc4 += b2 * c2;            /* acc4 =   A[2 * i + 2] * B[2 * i + 3] + A[2 * i + 3] * B[2 * i + 2] */
+
+    *(pDst + 1) = acc2;         /* C[2 * i + 1] = A[2 * i + 1] * B[2 * i] + A[2 * i] * B[2 * i + 1]  */
+    acc1 = (a1 * c1);
+
+    d1 = *(pSrcB + 5);
+    acc2 = (b1 * c1);
+
+    *(pDst + 2) = acc3;
+    *(pDst + 3) = acc4;
+
+    a2 = *(pSrcA + 6);
+    acc1 -= (b1 * d1);
+
+    c2 = *(pSrcB + 6);
+    acc2 += (a1 * d1);
+
+    b2 = *(pSrcA + 7);
+    acc3 = (a2 * c2);
+
+    d2 = *(pSrcB + 7);
+    acc4 = (b2 * c2);
+
+    *(pDst + 4) = acc1;
+    pSrcA += 8U;
+
+    acc3 -= (b2 * d2);
+    acc4 += (a2 * d2);
+
+    *(pDst + 5) = acc2;
+    pSrcB += 8U;
+
+    *(pDst + 6) = acc3;
+    *(pDst + 7) = acc4;
+
+    pDst += 8U;
+
+    /* Decrement the numSamples loop counter */
+    blkCnt--;
+  }
+
+  /* If the numSamples is not a multiple of 4, compute any remaining output samples here.
+   ** No loop unrolling is used. */
+  blkCnt = numSamples % 0x4U;
+
+#else
+
+  /* Run the below code for Cortex-M0 */
+  blkCnt = numSamples;
+
+#endif /* #if defined (ARM_MATH_DSP) */
+
+  while (blkCnt > 0U)
+  {
+    /* C[2 * i] = A[2 * i] * B[2 * i] - A[2 * i + 1] * B[2 * i + 1].  */
+    /* C[2 * i + 1] = A[2 * i] * B[2 * i + 1] + A[2 * i + 1] * B[2 * i].  */
+    a1 = *pSrcA++;
+    b1 = *pSrcA++;
+    c1 = *pSrcB++;
+    d1 = *pSrcB++;
+
+    /* store the result in the destination buffer. */
+    *pDst++ = (a1 * c1) - (b1 * d1);
+    *pDst++ = (a1 * d1) + (b1 * c1);
+
+    /* Decrement the numSamples loop counter */
+    blkCnt--;
+  }
+}
+
+/**
+ * @} end of CmplxByCmplxMult group
+ */
diff --git a/fw/hid-dials/Drivers/CMSIS/DSP/Source/ComplexMathFunctions/arm_cmplx_mult_cmplx_q15.c b/fw/hid-dials/Drivers/CMSIS/DSP/Source/ComplexMathFunctions/arm_cmplx_mult_cmplx_q15.c
new file mode 100644
index 0000000..1dce470
--- /dev/null
+++ b/fw/hid-dials/Drivers/CMSIS/DSP/Source/ComplexMathFunctions/arm_cmplx_mult_cmplx_q15.c
@@ -0,0 +1,181 @@
+/* ----------------------------------------------------------------------
+ * Project:      CMSIS DSP Library
+ * Title:        arm_cmplx_mult_cmplx_q15.c
+ * Description:  Q15 complex-by-complex multiplication
+ *
+ * $Date:        27. January 2017
+ * $Revision:    V.1.5.1
+ *
+ * Target Processor: Cortex-M cores
+ * -------------------------------------------------------------------- */
+/*
+ * Copyright (C) 2010-2017 ARM Limited or its affiliates. All rights reserved.
+ *
+ * SPDX-License-Identifier: Apache-2.0
+ *
+ * Licensed under the Apache License, Version 2.0 (the License); you may
+ * not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ * www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an AS IS BASIS, WITHOUT
+ * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+#include "arm_math.h"
+
+/**
+ * @ingroup groupCmplxMath
+ */
+
+/**
+ * @addtogroup CmplxByCmplxMult
+ * @{
+ */
+
+/**
+ * @brief  Q15 complex-by-complex multiplication
+ * @param[in]  *pSrcA points to the first input vector
+ * @param[in]  *pSrcB points to the second input vector
+ * @param[out]  *pDst  points to the output vector
+ * @param[in]  numSamples number of complex samples in each vector
+ * @return none.
+ *
+ * Scaling and Overflow Behavior:
+ * \par
+ * The function implements 1.15 by 1.15 multiplications and finally output is converted into 3.13 format.
+ */
+
+void arm_cmplx_mult_cmplx_q15(
+  q15_t * pSrcA,
+  q15_t * pSrcB,
+  q15_t * pDst,
+  uint32_t numSamples)
+{
+  q15_t a, b, c, d;                              /* Temporary variables to store real and imaginary values */
+
+#if defined (ARM_MATH_DSP)
+
+  /* Run the below code for Cortex-M4 and Cortex-M3 */
+  uint32_t blkCnt;                               /* loop counters */
+
+  /* loop Unrolling */
+  blkCnt = numSamples >> 2U;
+
+  /* First part of the processing with loop unrolling.  Compute 4 outputs at a time.
+   ** a second loop below computes the remaining 1 to 3 samples. */
+  while (blkCnt > 0U)
+  {
+    /* C[2 * i] = A[2 * i] * B[2 * i] - A[2 * i + 1] * B[2 * i + 1].  */
+    /* C[2 * i + 1] = A[2 * i] * B[2 * i + 1] + A[2 * i + 1] * B[2 * i].  */
+    a = *pSrcA++;
+    b = *pSrcA++;
+    c = *pSrcB++;
+    d = *pSrcB++;
+
+    /* store the result in 3.13 format in the destination buffer. */
+    *pDst++ =
+      (q15_t) (q31_t) (((q31_t) a * c) >> 17) - (((q31_t) b * d) >> 17);
+    /* store the result in 3.13 format in the destination buffer. */
+    *pDst++ =
+      (q15_t) (q31_t) (((q31_t) a * d) >> 17) + (((q31_t) b * c) >> 17);
+
+    a = *pSrcA++;
+    b = *pSrcA++;
+    c = *pSrcB++;
+    d = *pSrcB++;
+
+    /* store the result in 3.13 format in the destination buffer. */
+    *pDst++ =
+      (q15_t) (q31_t) (((q31_t) a * c) >> 17) - (((q31_t) b * d) >> 17);
+    /* store the result in 3.13 format in the destination buffer. */
+    *pDst++ =
+      (q15_t) (q31_t) (((q31_t) a * d) >> 17) + (((q31_t) b * c) >> 17);
+
+    a = *pSrcA++;
+    b = *pSrcA++;
+    c = *pSrcB++;
+    d = *pSrcB++;
+
+    /* store the result in 3.13 format in the destination buffer. */
+    *pDst++ =
+      (q15_t) (q31_t) (((q31_t) a * c) >> 17) - (((q31_t) b * d) >> 17);
+    /* store the result in 3.13 format in the destination buffer. */
+    *pDst++ =
+      (q15_t) (q31_t) (((q31_t) a * d) >> 17) + (((q31_t) b * c) >> 17);
+
+    a = *pSrcA++;
+    b = *pSrcA++;
+    c = *pSrcB++;
+    d = *pSrcB++;
+
+    /* store the result in 3.13 format in the destination buffer. */
+    *pDst++ =
+      (q15_t) (q31_t) (((q31_t) a * c) >> 17) - (((q31_t) b * d) >> 17);
+    /* store the result in 3.13 format in the destination buffer. */
+    *pDst++ =
+      (q15_t) (q31_t) (((q31_t) a * d) >> 17) + (((q31_t) b * c) >> 17);
+
+    /* Decrement the blockSize loop counter */
+    blkCnt--;
+  }
+
+  /* If the blockSize is not a multiple of 4, compute any remaining output samples here.
+   ** No loop unrolling is used. */
+  blkCnt = numSamples % 0x4U;
+
+  while (blkCnt > 0U)
+  {
+    /* C[2 * i] = A[2 * i] * B[2 * i] - A[2 * i + 1] * B[2 * i + 1].  */
+    /* C[2 * i + 1] = A[2 * i] * B[2 * i + 1] + A[2 * i + 1] * B[2 * i].  */
+    a = *pSrcA++;
+    b = *pSrcA++;
+    c = *pSrcB++;
+    d = *pSrcB++;
+
+    /* store the result in 3.13 format in the destination buffer. */
+    *pDst++ =
+      (q15_t) (q31_t) (((q31_t) a * c) >> 17) - (((q31_t) b * d) >> 17);
+    /* store the result in 3.13 format in the destination buffer. */
+    *pDst++ =
+      (q15_t) (q31_t) (((q31_t) a * d) >> 17) + (((q31_t) b * c) >> 17);
+
+    /* Decrement the blockSize loop counter */
+    blkCnt--;
+  }
+
+#else
+
+  /* Run the below code for Cortex-M0 */
+
+  while (numSamples > 0U)
+  {
+    /* C[2 * i] = A[2 * i] * B[2 * i] - A[2 * i + 1] * B[2 * i + 1].  */
+    /* C[2 * i + 1] = A[2 * i] * B[2 * i + 1] + A[2 * i + 1] * B[2 * i].  */
+    a = *pSrcA++;
+    b = *pSrcA++;
+    c = *pSrcB++;
+    d = *pSrcB++;
+
+    /* store the result in 3.13 format in the destination buffer. */
+    *pDst++ =
+      (q15_t) (q31_t) (((q31_t) a * c) >> 17) - (((q31_t) b * d) >> 17);
+    /* store the result in 3.13 format in the destination buffer. */
+    *pDst++ =
+      (q15_t) (q31_t) (((q31_t) a * d) >> 17) + (((q31_t) b * c) >> 17);
+
+    /* Decrement the blockSize loop counter */
+    numSamples--;
+  }
+
+#endif /* #if defined (ARM_MATH_DSP) */
+
+}
+
+/**
+ * @} end of CmplxByCmplxMult group
+ */
diff --git a/fw/hid-dials/Drivers/CMSIS/DSP/Source/ComplexMathFunctions/arm_cmplx_mult_cmplx_q31.c b/fw/hid-dials/Drivers/CMSIS/DSP/Source/ComplexMathFunctions/arm_cmplx_mult_cmplx_q31.c
new file mode 100644
index 0000000..2eed4e8
--- /dev/null
+++ b/fw/hid-dials/Drivers/CMSIS/DSP/Source/ComplexMathFunctions/arm_cmplx_mult_cmplx_q31.c
@@ -0,0 +1,314 @@
+/* ----------------------------------------------------------------------
+ * Project:      CMSIS DSP Library
+ * Title:        arm_cmplx_mult_cmplx_q31.c
+ * Description:  Q31 complex-by-complex multiplication
+ *
+ * $Date:        27. January 2017
+ * $Revision:    V.1.5.1
+ *
+ * Target Processor: Cortex-M cores
+ * -------------------------------------------------------------------- */
+/*
+ * Copyright (C) 2010-2017 ARM Limited or its affiliates. All rights reserved.
+ *
+ * SPDX-License-Identifier: Apache-2.0
+ *
+ * Licensed under the Apache License, Version 2.0 (the License); you may
+ * not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ * www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an AS IS BASIS, WITHOUT
+ * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+#include "arm_math.h"
+
+/**
+ * @ingroup groupCmplxMath
+ */
+
+/**
+ * @addtogroup CmplxByCmplxMult
+ * @{
+ */
+
+
+/**
+ * @brief  Q31 complex-by-complex multiplication
+ * @param[in]  *pSrcA points to the first input vector
+ * @param[in]  *pSrcB points to the second input vector
+ * @param[out]  *pDst  points to the output vector
+ * @param[in]  numSamples number of complex samples in each vector
+ * @return none.
+ *
+ * Scaling and Overflow Behavior:
+ * \par
+ * The function implements 1.31 by 1.31 multiplications and finally output is converted into 3.29 format.
+ * Input down scaling is not required.
+ */
+
+void arm_cmplx_mult_cmplx_q31(
+  q31_t * pSrcA,
+  q31_t * pSrcB,
+  q31_t * pDst,
+  uint32_t numSamples)
+{
+  q31_t a, b, c, d;                              /* Temporary variables to store real and imaginary values */
+  uint32_t blkCnt;                               /* loop counters */
+  q31_t mul1, mul2, mul3, mul4;
+  q31_t out1, out2;
+
+#if defined (ARM_MATH_DSP)
+
+  /* Run the below code for Cortex-M4 and Cortex-M3 */
+
+  /* loop Unrolling */
+  blkCnt = numSamples >> 2U;
+
+  /* First part of the processing with loop unrolling.  Compute 4 outputs at a time.
+   ** a second loop below computes the remaining 1 to 3 samples. */
+  while (blkCnt > 0U)
+  {
+    /* C[2 * i] = A[2 * i] * B[2 * i] - A[2 * i + 1] * B[2 * i + 1].  */
+    /* C[2 * i + 1] = A[2 * i] * B[2 * i + 1] + A[2 * i + 1] * B[2 * i].  */
+    a = *pSrcA++;
+    b = *pSrcA++;
+    c = *pSrcB++;
+    d = *pSrcB++;
+
+    mul1 = (q31_t) (((q63_t) a * c) >> 32);
+    mul2 = (q31_t) (((q63_t) b * d) >> 32);
+    mul3 = (q31_t) (((q63_t) a * d) >> 32);
+    mul4 = (q31_t) (((q63_t) b * c) >> 32);
+
+    mul1 = (mul1 >> 1);
+    mul2 = (mul2 >> 1);
+    mul3 = (mul3 >> 1);
+    mul4 = (mul4 >> 1);
+
+    out1 = mul1 - mul2;
+    out2 = mul3 + mul4;
+
+    /* store the real result in 3.29 format in the destination buffer. */
+    *pDst++ = out1;
+    /* store the imag result in 3.29 format in the destination buffer. */
+    *pDst++ = out2;
+
+    a = *pSrcA++;
+    b = *pSrcA++;
+    c = *pSrcB++;
+    d = *pSrcB++;
+
+    mul1 = (q31_t) (((q63_t) a * c) >> 32);
+    mul2 = (q31_t) (((q63_t) b * d) >> 32);
+    mul3 = (q31_t) (((q63_t) a * d) >> 32);
+    mul4 = (q31_t) (((q63_t) b * c) >> 32);
+
+    mul1 = (mul1 >> 1);
+    mul2 = (mul2 >> 1);
+    mul3 = (mul3 >> 1);
+    mul4 = (mul4 >> 1);
+
+    out1 = mul1 - mul2;
+    out2 = mul3 + mul4;
+
+    /* store the real result in 3.29 format in the destination buffer. */
+    *pDst++ = out1;
+    /* store the imag result in 3.29 format in the destination buffer. */
+    *pDst++ = out2;
+
+    a = *pSrcA++;
+    b = *pSrcA++;
+    c = *pSrcB++;
+    d = *pSrcB++;
+
+    mul1 = (q31_t) (((q63_t) a * c) >> 32);
+    mul2 = (q31_t) (((q63_t) b * d) >> 32);
+    mul3 = (q31_t) (((q63_t) a * d) >> 32);
+    mul4 = (q31_t) (((q63_t) b * c) >> 32);
+
+    mul1 = (mul1 >> 1);
+    mul2 = (mul2 >> 1);
+    mul3 = (mul3 >> 1);
+    mul4 = (mul4 >> 1);
+
+    out1 = mul1 - mul2;
+    out2 = mul3 + mul4;
+
+    /* store the real result in 3.29 format in the destination buffer. */
+    *pDst++ = out1;
+    /* store the imag result in 3.29 format in the destination buffer. */
+    *pDst++ = out2;
+
+    a = *pSrcA++;
+    b = *pSrcA++;
+    c = *pSrcB++;
+    d = *pSrcB++;
+
+    mul1 = (q31_t) (((q63_t) a * c) >> 32);
+    mul2 = (q31_t) (((q63_t) b * d) >> 32);
+    mul3 = (q31_t) (((q63_t) a * d) >> 32);
+    mul4 = (q31_t) (((q63_t) b * c) >> 32);
+
+    mul1 = (mul1 >> 1);
+    mul2 = (mul2 >> 1);
+    mul3 = (mul3 >> 1);
+    mul4 = (mul4 >> 1);
+
+    out1 = mul1 - mul2;
+    out2 = mul3 + mul4;
+
+    /* store the real result in 3.29 format in the destination buffer. */
+    *pDst++ = out1;
+    /* store the imag result in 3.29 format in the destination buffer. */
+    *pDst++ = out2;
+
+    /* Decrement the blockSize loop counter */
+    blkCnt--;
+  }
+
+  /* If the blockSize is not a multiple of 4, compute any remaining output samples here.
+   ** No loop unrolling is used. */
+  blkCnt = numSamples % 0x4U;
+
+  while (blkCnt > 0U)
+  {
+    /* C[2 * i] = A[2 * i] * B[2 * i] - A[2 * i + 1] * B[2 * i + 1].  */
+    /* C[2 * i + 1] = A[2 * i] * B[2 * i + 1] + A[2 * i + 1] * B[2 * i].  */
+    a = *pSrcA++;
+    b = *pSrcA++;
+    c = *pSrcB++;
+    d = *pSrcB++;
+
+    mul1 = (q31_t) (((q63_t) a * c) >> 32);
+    mul2 = (q31_t) (((q63_t) b * d) >> 32);
+    mul3 = (q31_t) (((q63_t) a * d) >> 32);
+    mul4 = (q31_t) (((q63_t) b * c) >> 32);
+
+    mul1 = (mul1 >> 1);
+    mul2 = (mul2 >> 1);
+    mul3 = (mul3 >> 1);
+    mul4 = (mul4 >> 1);
+
+    out1 = mul1 - mul2;
+    out2 = mul3 + mul4;
+
+    /* store the real result in 3.29 format in the destination buffer. */
+    *pDst++ = out1;
+    /* store the imag result in 3.29 format in the destination buffer. */
+    *pDst++ = out2;
+
+    /* Decrement the blockSize loop counter */
+    blkCnt--;
+  }
+
+#else
+
+  /* Run the below code for Cortex-M0 */
+
+  /* loop Unrolling */
+  blkCnt = numSamples >> 1U;
+
+  /* First part of the processing with loop unrolling.  Compute 2 outputs at a time.
+   ** a second loop below computes the remaining 1 sample. */
+  while (blkCnt > 0U)
+  {
+    /* C[2 * i] = A[2 * i] * B[2 * i] - A[2 * i + 1] * B[2 * i + 1].  */
+    /* C[2 * i + 1] = A[2 * i] * B[2 * i + 1] + A[2 * i + 1] * B[2 * i].  */
+    a = *pSrcA++;
+    b = *pSrcA++;
+    c = *pSrcB++;
+    d = *pSrcB++;
+
+    mul1 = (q31_t) (((q63_t) a * c) >> 32);
+    mul2 = (q31_t) (((q63_t) b * d) >> 32);
+    mul3 = (q31_t) (((q63_t) a * d) >> 32);
+    mul4 = (q31_t) (((q63_t) b * c) >> 32);
+
+    mul1 = (mul1 >> 1);
+    mul2 = (mul2 >> 1);
+    mul3 = (mul3 >> 1);
+    mul4 = (mul4 >> 1);
+
+    out1 = mul1 - mul2;
+    out2 = mul3 + mul4;
+
+    /* store the real result in 3.29 format in the destination buffer. */
+    *pDst++ = out1;
+    /* store the imag result in 3.29 format in the destination buffer. */
+    *pDst++ = out2;
+
+    a = *pSrcA++;
+    b = *pSrcA++;
+    c = *pSrcB++;
+    d = *pSrcB++;
+
+    mul1 = (q31_t) (((q63_t) a * c) >> 32);
+    mul2 = (q31_t) (((q63_t) b * d) >> 32);
+    mul3 = (q31_t) (((q63_t) a * d) >> 32);
+    mul4 = (q31_t) (((q63_t) b * c) >> 32);
+
+    mul1 = (mul1 >> 1);
+    mul2 = (mul2 >> 1);
+    mul3 = (mul3 >> 1);
+    mul4 = (mul4 >> 1);
+
+    out1 = mul1 - mul2;
+    out2 = mul3 + mul4;
+
+    /* store the real result in 3.29 format in the destination buffer. */
+    *pDst++ = out1;
+    /* store the imag result in 3.29 format in the destination buffer. */
+    *pDst++ = out2;
+
+    /* Decrement the blockSize loop counter */
+    blkCnt--;
+  }
+
+  /* If the blockSize is not a multiple of 2, compute any remaining output samples here.
+   ** No loop unrolling is used. */
+  blkCnt = numSamples % 0x2U;
+
+  while (blkCnt > 0U)
+  {
+    /* C[2 * i] = A[2 * i] * B[2 * i] - A[2 * i + 1] * B[2 * i + 1].  */
+    /* C[2 * i + 1] = A[2 * i] * B[2 * i + 1] + A[2 * i + 1] * B[2 * i].  */
+    a = *pSrcA++;
+    b = *pSrcA++;
+    c = *pSrcB++;
+    d = *pSrcB++;
+
+    mul1 = (q31_t) (((q63_t) a * c) >> 32);
+    mul2 = (q31_t) (((q63_t) b * d) >> 32);
+    mul3 = (q31_t) (((q63_t) a * d) >> 32);
+    mul4 = (q31_t) (((q63_t) b * c) >> 32);
+
+    mul1 = (mul1 >> 1);
+    mul2 = (mul2 >> 1);
+    mul3 = (mul3 >> 1);
+    mul4 = (mul4 >> 1);
+
+    out1 = mul1 - mul2;
+    out2 = mul3 + mul4;
+
+    /* store the real result in 3.29 format in the destination buffer. */
+    *pDst++ = out1;
+    /* store the imag result in 3.29 format in the destination buffer. */
+    *pDst++ = out2;
+
+    /* Decrement the blockSize loop counter */
+    blkCnt--;
+  }
+
+#endif /* #if defined (ARM_MATH_DSP) */
+
+}
+
+/**
+ * @} end of CmplxByCmplxMult group
+ */
diff --git a/fw/hid-dials/Drivers/CMSIS/DSP/Source/ComplexMathFunctions/arm_cmplx_mult_real_f32.c b/fw/hid-dials/Drivers/CMSIS/DSP/Source/ComplexMathFunctions/arm_cmplx_mult_real_f32.c
new file mode 100644
index 0000000..6f45804
--- /dev/null
+++ b/fw/hid-dials/Drivers/CMSIS/DSP/Source/ComplexMathFunctions/arm_cmplx_mult_real_f32.c
@@ -0,0 +1,213 @@
+/* ----------------------------------------------------------------------
+ * Project:      CMSIS DSP Library
+ * Title:        arm_cmplx_mult_real_f32.c
+ * Description:  Floating-point complex by real multiplication
+ *
+ * $Date:        27. January 2017
+ * $Revision:    V.1.5.1
+ *
+ * Target Processor: Cortex-M cores
+ * -------------------------------------------------------------------- */
+/*
+ * Copyright (C) 2010-2017 ARM Limited or its affiliates. All rights reserved.
+ *
+ * SPDX-License-Identifier: Apache-2.0
+ *
+ * Licensed under the Apache License, Version 2.0 (the License); you may
+ * not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ * www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an AS IS BASIS, WITHOUT
+ * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+#include "arm_math.h"
+
+/**
+ * @ingroup groupCmplxMath
+ */
+
+/**
+ * @defgroup CmplxByRealMult Complex-by-Real Multiplication
+ *
+ * Multiplies a complex vector by a real vector and generates a complex result.
+ * The data in the complex arrays is stored in an interleaved fashion
+ * (real, imag, real, imag, ...).
+ * The parameter numSamples represents the number of complex
+ * samples processed.  The complex arrays have a total of 2*numSamples
+ * real values while the real array has a total of numSamples
+ * real values.
+ *
+ * The underlying algorithm is used:
+ *
+ * 
+ * for(n=0; n
+ *
+ * There are separate functions for floating-point, Q15, and Q31 data types.
+ */
+
+/**
+ * @addtogroup CmplxByRealMult
+ * @{
+ */
+
+
+/**
+ * @brief  Floating-point complex-by-real multiplication
+ * @param[in]  *pSrcCmplx points to the complex input vector
+ * @param[in]  *pSrcReal points to the real input vector
+ * @param[out]  *pCmplxDst points to the complex output vector
+ * @param[in]  numSamples number of samples in each vector
+ * @return none.
+ */
+
+void arm_cmplx_mult_real_f32(
+  float32_t * pSrcCmplx,
+  float32_t * pSrcReal,
+  float32_t * pCmplxDst,
+  uint32_t numSamples)
+{
+  float32_t in;                                  /* Temporary variable to store input value */
+  uint32_t blkCnt;                               /* loop counters */
+
+#if defined (ARM_MATH_DSP)
+
+  /* Run the below code for Cortex-M4 and Cortex-M3 */
+  float32_t inA1, inA2, inA3, inA4;              /* Temporary variables to hold input data */
+  float32_t inA5, inA6, inA7, inA8;              /* Temporary variables to hold input data */
+  float32_t inB1, inB2, inB3, inB4;              /* Temporary variables to hold input data */
+  float32_t out1, out2, out3, out4;              /* Temporary variables to hold output data */
+  float32_t out5, out6, out7, out8;              /* Temporary variables to hold output data */
+
+  /* loop Unrolling */
+  blkCnt = numSamples >> 2U;
+
+  /* First part of the processing with loop unrolling.  Compute 4 outputs at a time.
+   ** a second loop below computes the remaining 1 to 3 samples. */
+  while (blkCnt > 0U)
+  {
+    /* C[2 * i] = A[2 * i] * B[i].            */
+    /* C[2 * i + 1] = A[2 * i + 1] * B[i].        */
+    /* read input from complex input buffer */
+    inA1 = pSrcCmplx[0];
+    inA2 = pSrcCmplx[1];
+    /* read input from real input buffer */
+    inB1 = pSrcReal[0];
+
+    /* read input from complex input buffer */
+    inA3 = pSrcCmplx[2];
+
+    /* multiply complex buffer real input with real buffer input */
+    out1 = inA1 * inB1;
+
+    /* read input from complex input buffer */
+    inA4 = pSrcCmplx[3];
+
+    /* multiply complex buffer imaginary input with real buffer input */
+    out2 = inA2 * inB1;
+
+    /* read input from real input buffer */
+    inB2 = pSrcReal[1];
+    /* read input from complex input buffer */
+    inA5 = pSrcCmplx[4];
+
+    /* multiply complex buffer real input with real buffer input */
+    out3 = inA3 * inB2;
+
+    /* read input from complex input buffer */
+    inA6 = pSrcCmplx[5];
+    /* read input from real input buffer */
+    inB3 = pSrcReal[2];
+
+    /* multiply complex buffer imaginary input with real buffer input */
+    out4 = inA4 * inB2;
+
+    /* read input from complex input buffer */
+    inA7 = pSrcCmplx[6];
+
+    /* multiply complex buffer real input with real buffer input */
+    out5 = inA5 * inB3;
+
+    /* read input from complex input buffer */
+    inA8 = pSrcCmplx[7];
+
+    /* multiply complex buffer imaginary input with real buffer input */
+    out6 = inA6 * inB3;
+
+    /* read input from real input buffer */
+    inB4 = pSrcReal[3];
+
+    /* store result to destination bufer */
+    pCmplxDst[0] = out1;
+
+    /* multiply complex buffer real input with real buffer input */
+    out7 = inA7 * inB4;
+
+    /* store result to destination bufer */
+    pCmplxDst[1] = out2;
+
+    /* multiply complex buffer imaginary input with real buffer input */
+    out8 = inA8 * inB4;
+
+    /* store result to destination bufer */
+    pCmplxDst[2] = out3;
+    pCmplxDst[3] = out4;
+    pCmplxDst[4] = out5;
+
+    /* incremnet complex input buffer by 8 to process next samples */
+    pSrcCmplx += 8U;
+
+    /* store result to destination bufer */
+    pCmplxDst[5] = out6;
+
+    /* increment real input buffer by 4 to process next samples */
+    pSrcReal += 4U;
+
+    /* store result to destination bufer */
+    pCmplxDst[6] = out7;
+    pCmplxDst[7] = out8;
+
+    /* increment destination buffer by 8 to process next sampels */
+    pCmplxDst += 8U;
+
+    /* Decrement the numSamples loop counter */
+    blkCnt--;
+  }
+
+  /* If the numSamples is not a multiple of 4, compute any remaining output samples here.
+   ** No loop unrolling is used. */
+  blkCnt = numSamples % 0x4U;
+
+#else
+
+  /* Run the below code for Cortex-M0 */
+  blkCnt = numSamples;
+
+#endif /* #if defined (ARM_MATH_DSP) */
+
+  while (blkCnt > 0U)
+  {
+    /* C[2 * i] = A[2 * i] * B[i].            */
+    /* C[2 * i + 1] = A[2 * i + 1] * B[i].        */
+    in = *pSrcReal++;
+    /* store the result in the destination buffer. */
+    *pCmplxDst++ = (*pSrcCmplx++) * (in);
+    *pCmplxDst++ = (*pSrcCmplx++) * (in);
+
+    /* Decrement the numSamples loop counter */
+    blkCnt--;
+  }
+}
+
+/**
+ * @} end of CmplxByRealMult group
+ */
diff --git a/fw/hid-dials/Drivers/CMSIS/DSP/Source/ComplexMathFunctions/arm_cmplx_mult_real_q15.c b/fw/hid-dials/Drivers/CMSIS/DSP/Source/ComplexMathFunctions/arm_cmplx_mult_real_q15.c
new file mode 100644
index 0000000..abafc3b
--- /dev/null
+++ b/fw/hid-dials/Drivers/CMSIS/DSP/Source/ComplexMathFunctions/arm_cmplx_mult_real_q15.c
@@ -0,0 +1,191 @@
+/* ----------------------------------------------------------------------
+ * Project:      CMSIS DSP Library
+ * Title:        arm_cmplx_mult_real_q15.c
+ * Description:  Q15 complex by real multiplication
+ *
+ * $Date:        27. January 2017
+ * $Revision:    V.1.5.1
+ *
+ * Target Processor: Cortex-M cores
+ * -------------------------------------------------------------------- */
+/*
+ * Copyright (C) 2010-2017 ARM Limited or its affiliates. All rights reserved.
+ *
+ * SPDX-License-Identifier: Apache-2.0
+ *
+ * Licensed under the Apache License, Version 2.0 (the License); you may
+ * not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ * www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an AS IS BASIS, WITHOUT
+ * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+#include "arm_math.h"
+
+/**
+ * @ingroup groupCmplxMath
+ */
+
+/**
+ * @addtogroup CmplxByRealMult
+ * @{
+ */
+
+
+/**
+ * @brief  Q15 complex-by-real multiplication
+ * @param[in]  *pSrcCmplx points to the complex input vector
+ * @param[in]  *pSrcReal points to the real input vector
+ * @param[out]  *pCmplxDst points to the complex output vector
+ * @param[in]  numSamples number of samples in each vector
+ * @return none.
+ *
+ * Scaling and Overflow Behavior:
+ * \par
+ * The function uses saturating arithmetic.
+ * Results outside of the allowable Q15 range [0x8000 0x7FFF] will be saturated.
+ */
+
+void arm_cmplx_mult_real_q15(
+  q15_t * pSrcCmplx,
+  q15_t * pSrcReal,
+  q15_t * pCmplxDst,
+  uint32_t numSamples)
+{
+  q15_t in;                                      /* Temporary variable to store input value */
+
+#if defined (ARM_MATH_DSP)
+
+  /* Run the below code for Cortex-M4 and Cortex-M3 */
+  uint32_t blkCnt;                               /* loop counters */
+  q31_t inA1, inA2;                              /* Temporary variables to hold input data */
+  q31_t inB1;                                    /* Temporary variables to hold input data */
+  q15_t out1, out2, out3, out4;                  /* Temporary variables to hold output data */
+  q31_t mul1, mul2, mul3, mul4;                  /* Temporary variables to hold intermediate data */
+
+  /* loop Unrolling */
+  blkCnt = numSamples >> 2U;
+
+  /* First part of the processing with loop unrolling.  Compute 4 outputs at a time.
+   ** a second loop below computes the remaining 1 to 3 samples. */
+  while (blkCnt > 0U)
+  {
+    /* C[2 * i] = A[2 * i] * B[i].            */
+    /* C[2 * i + 1] = A[2 * i + 1] * B[i].        */
+    /* read complex number both real and imaginary from complex input buffer */
+    inA1 = *__SIMD32(pSrcCmplx)++;
+    /* read two real values at a time from real input buffer */
+    inB1 = *__SIMD32(pSrcReal)++;
+    /* read complex number both real and imaginary from complex input buffer */
+    inA2 = *__SIMD32(pSrcCmplx)++;
+
+    /* multiply complex number with real numbers */
+#ifndef ARM_MATH_BIG_ENDIAN
+
+    mul1 = (q31_t) ((q15_t) (inA1) * (q15_t) (inB1));
+    mul2 = (q31_t) ((q15_t) (inA1 >> 16) * (q15_t) (inB1));
+    mul3 = (q31_t) ((q15_t) (inA2) * (q15_t) (inB1 >> 16));
+    mul4 = (q31_t) ((q15_t) (inA2 >> 16) * (q15_t) (inB1 >> 16));
+
+#else
+
+    mul2 = (q31_t) ((q15_t) (inA1 >> 16) * (q15_t) (inB1 >> 16));
+    mul1 = (q31_t) ((q15_t) inA1 * (q15_t) (inB1 >> 16));
+    mul4 = (q31_t) ((q15_t) (inA2 >> 16) * (q15_t) inB1);
+    mul3 = (q31_t) ((q15_t) inA2 * (q15_t) inB1);
+
+#endif /* #ifndef ARM_MATH_BIG_ENDIAN */
+
+    /* saturate the result */
+    out1 = (q15_t) __SSAT(mul1 >> 15U, 16);
+    out2 = (q15_t) __SSAT(mul2 >> 15U, 16);
+    out3 = (q15_t) __SSAT(mul3 >> 15U, 16);
+    out4 = (q15_t) __SSAT(mul4 >> 15U, 16);
+
+    /* pack real and imaginary outputs and store them to destination */
+    *__SIMD32(pCmplxDst)++ = __PKHBT(out1, out2, 16);
+    *__SIMD32(pCmplxDst)++ = __PKHBT(out3, out4, 16);
+
+    inA1 = *__SIMD32(pSrcCmplx)++;
+    inB1 = *__SIMD32(pSrcReal)++;
+    inA2 = *__SIMD32(pSrcCmplx)++;
+
+#ifndef ARM_MATH_BIG_ENDIAN
+
+    mul1 = (q31_t) ((q15_t) (inA1) * (q15_t) (inB1));
+    mul2 = (q31_t) ((q15_t) (inA1 >> 16) * (q15_t) (inB1));
+    mul3 = (q31_t) ((q15_t) (inA2) * (q15_t) (inB1 >> 16));
+    mul4 = (q31_t) ((q15_t) (inA2 >> 16) * (q15_t) (inB1 >> 16));
+
+#else
+
+    mul2 = (q31_t) ((q15_t) (inA1 >> 16) * (q15_t) (inB1 >> 16));
+    mul1 = (q31_t) ((q15_t) inA1 * (q15_t) (inB1 >> 16));
+    mul4 = (q31_t) ((q15_t) (inA2 >> 16) * (q15_t) inB1);
+    mul3 = (q31_t) ((q15_t) inA2 * (q15_t) inB1);
+
+#endif /* #ifndef ARM_MATH_BIG_ENDIAN */
+
+    out1 = (q15_t) __SSAT(mul1 >> 15U, 16);
+    out2 = (q15_t) __SSAT(mul2 >> 15U, 16);
+    out3 = (q15_t) __SSAT(mul3 >> 15U, 16);
+    out4 = (q15_t) __SSAT(mul4 >> 15U, 16);
+
+    *__SIMD32(pCmplxDst)++ = __PKHBT(out1, out2, 16);
+    *__SIMD32(pCmplxDst)++ = __PKHBT(out3, out4, 16);
+
+    /* Decrement the numSamples loop counter */
+    blkCnt--;
+  }
+
+  /* If the numSamples is not a multiple of 4, compute any remaining output samples here.
+   ** No loop unrolling is used. */
+  blkCnt = numSamples % 0x4U;
+
+  while (blkCnt > 0U)
+  {
+    /* C[2 * i] = A[2 * i] * B[i].            */
+    /* C[2 * i + 1] = A[2 * i + 1] * B[i].        */
+    in = *pSrcReal++;
+    /* store the result in the destination buffer. */
+    *pCmplxDst++ =
+      (q15_t) __SSAT((((q31_t) (*pSrcCmplx++) * (in)) >> 15), 16);
+    *pCmplxDst++ =
+      (q15_t) __SSAT((((q31_t) (*pSrcCmplx++) * (in)) >> 15), 16);
+
+    /* Decrement the numSamples loop counter */
+    blkCnt--;
+  }
+
+#else
+
+  /* Run the below code for Cortex-M0 */
+
+  while (numSamples > 0U)
+  {
+    /* realOut = realA * realB.            */
+    /* imagOut = imagA * realB.                */
+    in = *pSrcReal++;
+    /* store the result in the destination buffer. */
+    *pCmplxDst++ =
+      (q15_t) __SSAT((((q31_t) (*pSrcCmplx++) * (in)) >> 15), 16);
+    *pCmplxDst++ =
+      (q15_t) __SSAT((((q31_t) (*pSrcCmplx++) * (in)) >> 15), 16);
+
+    /* Decrement the numSamples loop counter */
+    numSamples--;
+  }
+
+#endif /* #if defined (ARM_MATH_DSP) */
+
+}
+
+/**
+ * @} end of CmplxByRealMult group
+ */
diff --git a/fw/hid-dials/Drivers/CMSIS/DSP/Source/ComplexMathFunctions/arm_cmplx_mult_real_q31.c b/fw/hid-dials/Drivers/CMSIS/DSP/Source/ComplexMathFunctions/arm_cmplx_mult_real_q31.c
new file mode 100644
index 0000000..aaa3ec0
--- /dev/null
+++ b/fw/hid-dials/Drivers/CMSIS/DSP/Source/ComplexMathFunctions/arm_cmplx_mult_real_q31.c
@@ -0,0 +1,211 @@
+/* ----------------------------------------------------------------------
+ * Project:      CMSIS DSP Library
+ * Title:        arm_cmplx_mult_real_q31.c
+ * Description:  Q31 complex by real multiplication
+ *
+ * $Date:        27. January 2017
+ * $Revision:    V.1.5.1
+ *
+ * Target Processor: Cortex-M cores
+ * -------------------------------------------------------------------- */
+/*
+ * Copyright (C) 2010-2017 ARM Limited or its affiliates. All rights reserved.
+ *
+ * SPDX-License-Identifier: Apache-2.0
+ *
+ * Licensed under the Apache License, Version 2.0 (the License); you may
+ * not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ * www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an AS IS BASIS, WITHOUT
+ * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+#include "arm_math.h"
+
+/**
+ * @ingroup groupCmplxMath
+ */
+
+/**
+ * @addtogroup CmplxByRealMult
+ * @{
+ */
+
+
+/**
+ * @brief  Q31 complex-by-real multiplication
+ * @param[in]  *pSrcCmplx points to the complex input vector
+ * @param[in]  *pSrcReal points to the real input vector
+ * @param[out]  *pCmplxDst points to the complex output vector
+ * @param[in]  numSamples number of samples in each vector
+ * @return none.
+ *
+ * Scaling and Overflow Behavior:
+ * \par
+ * The function uses saturating arithmetic.
+ * Results outside of the allowable Q31 range[0x80000000 0x7FFFFFFF] will be saturated.
+ */
+
+void arm_cmplx_mult_real_q31(
+  q31_t * pSrcCmplx,
+  q31_t * pSrcReal,
+  q31_t * pCmplxDst,
+  uint32_t numSamples)
+{
+  q31_t inA1;                                    /* Temporary variable to store input value */
+
+#if defined (ARM_MATH_DSP)
+
+  /* Run the below code for Cortex-M4 and Cortex-M3 */
+  uint32_t blkCnt;                               /* loop counters */
+  q31_t inA2, inA3, inA4;                        /* Temporary variables to hold input data */
+  q31_t inB1, inB2;                              /* Temporary variabels to hold input data */
+  q31_t out1, out2, out3, out4;                  /* Temporary variables to hold output data */
+
+  /* loop Unrolling */
+  blkCnt = numSamples >> 2U;
+
+  /* First part of the processing with loop unrolling.  Compute 4 outputs at a time.
+   ** a second loop below computes the remaining 1 to 3 samples. */
+  while (blkCnt > 0U)
+  {
+    /* C[2 * i] = A[2 * i] * B[i].            */
+    /* C[2 * i + 1] = A[2 * i + 1] * B[i].        */
+    /* read real input from complex input buffer */
+    inA1 = *pSrcCmplx++;
+    inA2 = *pSrcCmplx++;
+    /* read input from real input bufer */
+    inB1 = *pSrcReal++;
+    inB2 = *pSrcReal++;
+    /* read imaginary input from complex input buffer */
+    inA3 = *pSrcCmplx++;
+    inA4 = *pSrcCmplx++;
+
+    /* multiply complex input with real input */
+    out1 = ((q63_t) inA1 * inB1) >> 32;
+    out2 = ((q63_t) inA2 * inB1) >> 32;
+    out3 = ((q63_t) inA3 * inB2) >> 32;
+    out4 = ((q63_t) inA4 * inB2) >> 32;
+
+    /* sature the result */
+    out1 = __SSAT(out1, 31);
+    out2 = __SSAT(out2, 31);
+    out3 = __SSAT(out3, 31);
+    out4 = __SSAT(out4, 31);
+
+    /* get result in 1.31 format */
+    out1 = out1 << 1;
+    out2 = out2 << 1;
+    out3 = out3 << 1;
+    out4 = out4 << 1;
+
+    /* store the result to destination buffer */
+    *pCmplxDst++ = out1;
+    *pCmplxDst++ = out2;
+    *pCmplxDst++ = out3;
+    *pCmplxDst++ = out4;
+
+    /* read real input from complex input buffer */
+    inA1 = *pSrcCmplx++;
+    inA2 = *pSrcCmplx++;
+    /* read input from real input bufer */
+    inB1 = *pSrcReal++;
+    inB2 = *pSrcReal++;
+    /* read imaginary input from complex input buffer */
+    inA3 = *pSrcCmplx++;
+    inA4 = *pSrcCmplx++;
+
+    /* multiply complex input with real input */
+    out1 = ((q63_t) inA1 * inB1) >> 32;
+    out2 = ((q63_t) inA2 * inB1) >> 32;
+    out3 = ((q63_t) inA3 * inB2) >> 32;
+    out4 = ((q63_t) inA4 * inB2) >> 32;
+
+    /* sature the result */
+    out1 = __SSAT(out1, 31);
+    out2 = __SSAT(out2, 31);
+    out3 = __SSAT(out3, 31);
+    out4 = __SSAT(out4, 31);
+
+    /* get result in 1.31 format */
+    out1 = out1 << 1;
+    out2 = out2 << 1;
+    out3 = out3 << 1;
+    out4 = out4 << 1;
+
+    /* store the result to destination buffer */
+    *pCmplxDst++ = out1;
+    *pCmplxDst++ = out2;
+    *pCmplxDst++ = out3;
+    *pCmplxDst++ = out4;
+
+    /* Decrement the numSamples loop counter */
+    blkCnt--;
+  }
+
+  /* If the numSamples is not a multiple of 4, compute any remaining output samples here.
+   ** No loop unrolling is used. */
+  blkCnt = numSamples % 0x4U;
+
+  while (blkCnt > 0U)
+  {
+    /* C[2 * i] = A[2 * i] * B[i].            */
+    /* C[2 * i + 1] = A[2 * i + 1] * B[i].        */
+    /* read real input from complex input buffer */
+    inA1 = *pSrcCmplx++;
+    inA2 = *pSrcCmplx++;
+    /* read input from real input bufer */
+    inB1 = *pSrcReal++;
+
+    /* multiply complex input with real input */
+    out1 = ((q63_t) inA1 * inB1) >> 32;
+    out2 = ((q63_t) inA2 * inB1) >> 32;
+
+    /* sature the result */
+    out1 = __SSAT(out1, 31);
+    out2 = __SSAT(out2, 31);
+
+    /* get result in 1.31 format */
+    out1 = out1 << 1;
+    out2 = out2 << 1;
+
+    /* store the result to destination buffer */
+    *pCmplxDst++ = out1;
+    *pCmplxDst++ = out2;
+
+    /* Decrement the numSamples loop counter */
+    blkCnt--;
+  }
+
+#else
+
+  /* Run the below code for Cortex-M0 */
+
+  while (numSamples > 0U)
+  {
+    /* realOut = realA * realB.            */
+    /* imagReal = imagA * realB.               */
+    inA1 = *pSrcReal++;
+    /* store the result in the destination buffer. */
+    *pCmplxDst++ =
+      (q31_t) clip_q63_to_q31(((q63_t) * pSrcCmplx++ * inA1) >> 31);
+    *pCmplxDst++ =
+      (q31_t) clip_q63_to_q31(((q63_t) * pSrcCmplx++ * inA1) >> 31);
+
+    /* Decrement the numSamples loop counter */
+    numSamples--;
+  }
+
+#endif /* #if defined (ARM_MATH_DSP) */
+
+}
+
+/**
+ * @} end of CmplxByRealMult group
+ */
diff --git a/fw/hid-dials/Drivers/CMSIS/DSP/Source/ControllerFunctions/arm_pid_init_f32.c b/fw/hid-dials/Drivers/CMSIS/DSP/Source/ControllerFunctions/arm_pid_init_f32.c
new file mode 100644
index 0000000..e729500
--- /dev/null
+++ b/fw/hid-dials/Drivers/CMSIS/DSP/Source/ControllerFunctions/arm_pid_init_f32.c
@@ -0,0 +1,74 @@
+/* ----------------------------------------------------------------------
+ * Project:      CMSIS DSP Library
+ * Title:        arm_pid_init_f32.c
+ * Description:  Floating-point PID Control initialization function
+ *
+ * $Date:        27. January 2017
+ * $Revision:    V.1.5.1
+ *
+ * Target Processor: Cortex-M cores
+ * -------------------------------------------------------------------- */
+/*
+ * Copyright (C) 2010-2017 ARM Limited or its affiliates. All rights reserved.
+ *
+ * SPDX-License-Identifier: Apache-2.0
+ *
+ * Licensed under the Apache License, Version 2.0 (the License); you may
+ * not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ * www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an AS IS BASIS, WITHOUT
+ * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+#include "arm_math.h"
+
+ /**
+ * @addtogroup PID
+ * @{
+ */
+
+/**
+ * @brief  Initialization function for the floating-point PID Control.
+ * @param[in,out] *S points to an instance of the PID structure.
+ * @param[in]     resetStateFlag  flag to reset the state. 0 = no change in state & 1 = reset the state.
+ * @return none.
+ * \par Description:
+ * \par
+ * The resetStateFlag specifies whether to set state to zero or not. \n
+ * The function computes the structure fields: A0, A1 A2
+ * using the proportional gain( \c Kp), integral gain( \c Ki) and derivative gain( \c Kd)
+ * also sets the state variables to all zeros.
+ */
+
+void arm_pid_init_f32(
+  arm_pid_instance_f32 * S,
+  int32_t resetStateFlag)
+{
+
+  /* Derived coefficient A0 */
+  S->A0 = S->Kp + S->Ki + S->Kd;
+
+  /* Derived coefficient A1 */
+  S->A1 = (-S->Kp) - ((float32_t) 2.0 * S->Kd);
+
+  /* Derived coefficient A2 */
+  S->A2 = S->Kd;
+
+  /* Check whether state needs reset or not */
+  if (resetStateFlag)
+  {
+    /* Clear the state buffer.  The size will be always 3 samples */
+    memset(S->state, 0, 3U * sizeof(float32_t));
+  }
+
+}
+
+/**
+ * @} end of PID group
+ */
diff --git a/fw/hid-dials/Drivers/CMSIS/DSP/Source/ControllerFunctions/arm_pid_init_q15.c b/fw/hid-dials/Drivers/CMSIS/DSP/Source/ControllerFunctions/arm_pid_init_q15.c
new file mode 100644
index 0000000..0f83f35
--- /dev/null
+++ b/fw/hid-dials/Drivers/CMSIS/DSP/Source/ControllerFunctions/arm_pid_init_q15.c
@@ -0,0 +1,110 @@
+/* ----------------------------------------------------------------------
+ * Project:      CMSIS DSP Library
+ * Title:        arm_pid_init_q15.c
+ * Description:  Q15 PID Control initialization function
+ *
+ * $Date:        27. January 2017
+ * $Revision:    V.1.5.1
+ *
+ * Target Processor: Cortex-M cores
+ * -------------------------------------------------------------------- */
+/*
+ * Copyright (C) 2010-2017 ARM Limited or its affiliates. All rights reserved.
+ *
+ * SPDX-License-Identifier: Apache-2.0
+ *
+ * Licensed under the Apache License, Version 2.0 (the License); you may
+ * not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ * www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an AS IS BASIS, WITHOUT
+ * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+#include "arm_math.h"
+
+ /**
+ * @addtogroup PID
+ * @{
+ */
+
+/**
+ * @details
+ * @param[in,out] *S points to an instance of the Q15 PID structure.
+ * @param[in]     resetStateFlag  flag to reset the state. 0 = no change in state 1 = reset the state.
+ * @return none.
+ * \par Description:
+ * \par
+ * The resetStateFlag specifies whether to set state to zero or not. \n
+ * The function computes the structure fields: A0, A1 A2
+ * using the proportional gain( \c Kp), integral gain( \c Ki) and derivative gain( \c Kd)
+ * also sets the state variables to all zeros.
+ */
+
+void arm_pid_init_q15(
+  arm_pid_instance_q15 * S,
+  int32_t resetStateFlag)
+{
+
+#if defined (ARM_MATH_DSP)
+
+  /* Run the below code for Cortex-M4 and Cortex-M3 */
+
+  /* Derived coefficient A0 */
+  S->A0 = __QADD16(__QADD16(S->Kp, S->Ki), S->Kd);
+
+  /* Derived coefficients and pack into A1 */
+
+#ifndef  ARM_MATH_BIG_ENDIAN
+
+  S->A1 = __PKHBT(-__QADD16(__QADD16(S->Kd, S->Kd), S->Kp), S->Kd, 16);
+
+#else
+
+  S->A1 = __PKHBT(S->Kd, -__QADD16(__QADD16(S->Kd, S->Kd), S->Kp), 16);
+
+#endif /*      #ifndef  ARM_MATH_BIG_ENDIAN    */
+
+  /* Check whether state needs reset or not */
+  if (resetStateFlag)
+  {
+    /* Clear the state buffer.  The size will be always 3 samples */
+    memset(S->state, 0, 3U * sizeof(q15_t));
+  }
+
+#else
+
+  /* Run the below code for Cortex-M0 */
+
+  q31_t temp;                                    /*to store the sum */
+
+  /* Derived coefficient A0 */
+  temp = S->Kp + S->Ki + S->Kd;
+  S->A0 = (q15_t) __SSAT(temp, 16);
+
+  /* Derived coefficients and pack into A1 */
+  temp = -(S->Kd + S->Kd + S->Kp);
+  S->A1 = (q15_t) __SSAT(temp, 16);
+  S->A2 = S->Kd;
+
+
+
+  /* Check whether state needs reset or not */
+  if (resetStateFlag)
+  {
+    /* Clear the state buffer.  The size will be always 3 samples */
+    memset(S->state, 0, 3U * sizeof(q15_t));
+  }
+
+#endif /* #if defined (ARM_MATH_DSP) */
+
+}
+
+/**
+ * @} end of PID group
+ */
diff --git a/fw/hid-dials/Drivers/CMSIS/DSP/Source/ControllerFunctions/arm_pid_init_q31.c b/fw/hid-dials/Drivers/CMSIS/DSP/Source/ControllerFunctions/arm_pid_init_q31.c
new file mode 100644
index 0000000..ce2936e
--- /dev/null
+++ b/fw/hid-dials/Drivers/CMSIS/DSP/Source/ControllerFunctions/arm_pid_init_q31.c
@@ -0,0 +1,95 @@
+/* ----------------------------------------------------------------------
+ * Project:      CMSIS DSP Library
+ * Title:        arm_pid_init_q31.c
+ * Description:  Q31 PID Control initialization function
+ *
+ * $Date:        27. January 2017
+ * $Revision:    V.1.5.1
+ *
+ * Target Processor: Cortex-M cores
+ * -------------------------------------------------------------------- */
+/*
+ * Copyright (C) 2010-2017 ARM Limited or its affiliates. All rights reserved.
+ *
+ * SPDX-License-Identifier: Apache-2.0
+ *
+ * Licensed under the Apache License, Version 2.0 (the License); you may
+ * not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ * www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an AS IS BASIS, WITHOUT
+ * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+#include "arm_math.h"
+
+ /**
+ * @addtogroup PID
+ * @{
+ */
+
+/**
+ * @brief  Initialization function for the Q31 PID Control.
+ * @param[in,out] *S points to an instance of the Q31 PID structure.
+ * @param[in]     resetStateFlag  flag to reset the state. 0 = no change in state 1 = reset the state.
+ * @return none.
+ * \par Description:
+ * \par
+ * The resetStateFlag specifies whether to set state to zero or not. \n
+ * The function computes the structure fields: A0, A1 A2
+ * using the proportional gain( \c Kp), integral gain( \c Ki) and derivative gain( \c Kd)
+ * also sets the state variables to all zeros.
+ */
+
+void arm_pid_init_q31(
+  arm_pid_instance_q31 * S,
+  int32_t resetStateFlag)
+{
+
+#if defined (ARM_MATH_DSP)
+
+  /* Run the below code for Cortex-M4 and Cortex-M3 */
+
+  /* Derived coefficient A0 */
+  S->A0 = __QADD(__QADD(S->Kp, S->Ki), S->Kd);
+
+  /* Derived coefficient A1 */
+  S->A1 = -__QADD(__QADD(S->Kd, S->Kd), S->Kp);
+
+
+#else
+
+  /* Run the below code for Cortex-M0 */
+
+  q31_t temp;
+
+  /* Derived coefficient A0 */
+  temp = clip_q63_to_q31((q63_t) S->Kp + S->Ki);
+  S->A0 = clip_q63_to_q31((q63_t) temp + S->Kd);
+
+  /* Derived coefficient A1 */
+  temp = clip_q63_to_q31((q63_t) S->Kd + S->Kd);
+  S->A1 = -clip_q63_to_q31((q63_t) temp + S->Kp);
+
+#endif /* #if defined (ARM_MATH_DSP) */
+
+  /* Derived coefficient A2 */
+  S->A2 = S->Kd;
+
+  /* Check whether state needs reset or not */
+  if (resetStateFlag)
+  {
+    /* Clear the state buffer.  The size will be always 3 samples */
+    memset(S->state, 0, 3U * sizeof(q31_t));
+  }
+
+}
+
+/**
+ * @} end of PID group
+ */
diff --git a/fw/hid-dials/Drivers/CMSIS/DSP/Source/ControllerFunctions/arm_pid_reset_f32.c b/fw/hid-dials/Drivers/CMSIS/DSP/Source/ControllerFunctions/arm_pid_reset_f32.c
new file mode 100644
index 0000000..acc1709
--- /dev/null
+++ b/fw/hid-dials/Drivers/CMSIS/DSP/Source/ControllerFunctions/arm_pid_reset_f32.c
@@ -0,0 +1,53 @@
+/* ----------------------------------------------------------------------
+ * Project:      CMSIS DSP Library
+ * Title:        arm_pid_reset_f32.c
+ * Description:  Floating-point PID Control reset function
+ *
+ * $Date:        27. January 2017
+ * $Revision:    V.1.5.1
+ *
+ * Target Processor: Cortex-M cores
+ * -------------------------------------------------------------------- */
+/*
+ * Copyright (C) 2010-2017 ARM Limited or its affiliates. All rights reserved.
+ *
+ * SPDX-License-Identifier: Apache-2.0
+ *
+ * Licensed under the Apache License, Version 2.0 (the License); you may
+ * not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ * www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an AS IS BASIS, WITHOUT
+ * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+#include "arm_math.h"
+
+ /**
+ * @addtogroup PID
+ * @{
+ */
+
+/**
+* @brief  Reset function for the floating-point PID Control.
+* @param[in] *S	Instance pointer of PID control data structure.
+* @return none.
+* \par Description:
+* The function resets the state buffer to zeros.
+*/
+void arm_pid_reset_f32(
+  arm_pid_instance_f32 * S)
+{
+
+  /* Clear the state buffer.  The size will be always 3 samples */
+  memset(S->state, 0, 3U * sizeof(float32_t));
+}
+
+/**
+ * @} end of PID group
+ */
diff --git a/fw/hid-dials/Drivers/CMSIS/DSP/Source/ControllerFunctions/arm_pid_reset_q15.c b/fw/hid-dials/Drivers/CMSIS/DSP/Source/ControllerFunctions/arm_pid_reset_q15.c
new file mode 100644
index 0000000..59c4416
--- /dev/null
+++ b/fw/hid-dials/Drivers/CMSIS/DSP/Source/ControllerFunctions/arm_pid_reset_q15.c
@@ -0,0 +1,52 @@
+/* ----------------------------------------------------------------------
+ * Project:      CMSIS DSP Library
+ * Title:        arm_pid_reset_q15.c
+ * Description:  Q15 PID Control reset function
+ *
+ * $Date:        27. January 2017
+ * $Revision:    V.1.5.1
+ *
+ * Target Processor: Cortex-M cores
+ * -------------------------------------------------------------------- */
+/*
+ * Copyright (C) 2010-2017 ARM Limited or its affiliates. All rights reserved.
+ *
+ * SPDX-License-Identifier: Apache-2.0
+ *
+ * Licensed under the Apache License, Version 2.0 (the License); you may
+ * not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ * www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an AS IS BASIS, WITHOUT
+ * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+#include "arm_math.h"
+
+ /**
+ * @addtogroup PID
+ * @{
+ */
+
+/**
+* @brief  Reset function for the Q15 PID Control.
+* @param[in] *S		Instance pointer of PID control data structure.
+* @return none.
+* \par Description:
+* The function resets the state buffer to zeros.
+*/
+void arm_pid_reset_q15(
+  arm_pid_instance_q15 * S)
+{
+  /* Reset state to zero, The size will be always 3 samples */
+  memset(S->state, 0, 3U * sizeof(q15_t));
+}
+
+/**
+ * @} end of PID group
+ */
diff --git a/fw/hid-dials/Drivers/CMSIS/DSP/Source/ControllerFunctions/arm_pid_reset_q31.c b/fw/hid-dials/Drivers/CMSIS/DSP/Source/ControllerFunctions/arm_pid_reset_q31.c
new file mode 100644
index 0000000..7112a77
--- /dev/null
+++ b/fw/hid-dials/Drivers/CMSIS/DSP/Source/ControllerFunctions/arm_pid_reset_q31.c
@@ -0,0 +1,53 @@
+/* ----------------------------------------------------------------------
+ * Project:      CMSIS DSP Library
+ * Title:        arm_pid_reset_q31.c
+ * Description:  Q31 PID Control reset function
+ *
+ * $Date:        27. January 2017
+ * $Revision:    V.1.5.1
+ *
+ * Target Processor: Cortex-M cores
+ * -------------------------------------------------------------------- */
+/*
+ * Copyright (C) 2010-2017 ARM Limited or its affiliates. All rights reserved.
+ *
+ * SPDX-License-Identifier: Apache-2.0
+ *
+ * Licensed under the Apache License, Version 2.0 (the License); you may
+ * not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ * www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an AS IS BASIS, WITHOUT
+ * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+#include "arm_math.h"
+
+ /**
+ * @addtogroup PID
+ * @{
+ */
+
+/**
+* @brief  Reset function for the Q31 PID Control.
+* @param[in] *S	Instance pointer of PID control data structure.
+* @return none.
+* \par Description:
+* The function resets the state buffer to zeros.
+*/
+void arm_pid_reset_q31(
+  arm_pid_instance_q31 * S)
+{
+
+  /* Clear the state buffer.  The size will be always 3 samples */
+  memset(S->state, 0, 3U * sizeof(q31_t));
+}
+
+/**
+ * @} end of PID group
+ */
diff --git a/fw/hid-dials/Drivers/CMSIS/DSP/Source/ControllerFunctions/arm_sin_cos_f32.c b/fw/hid-dials/Drivers/CMSIS/DSP/Source/ControllerFunctions/arm_sin_cos_f32.c
new file mode 100644
index 0000000..2aff091
--- /dev/null
+++ b/fw/hid-dials/Drivers/CMSIS/DSP/Source/ControllerFunctions/arm_sin_cos_f32.c
@@ -0,0 +1,144 @@
+/* ----------------------------------------------------------------------
+ * Project:      CMSIS DSP Library
+ * Title:        arm_sin_cos_f32.c
+ * Description:  Sine and Cosine calculation for floating-point values
+ *
+ * $Date:        27. January 2017
+ * $Revision:    V.1.5.1
+ *
+ * Target Processor: Cortex-M cores
+ * -------------------------------------------------------------------- */
+/*
+ * Copyright (C) 2010-2017 ARM Limited or its affiliates. All rights reserved.
+ *
+ * SPDX-License-Identifier: Apache-2.0
+ *
+ * Licensed under the Apache License, Version 2.0 (the License); you may
+ * not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ * www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an AS IS BASIS, WITHOUT
+ * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+#include "arm_math.h"
+#include "arm_common_tables.h"
+
+/**
+ * @ingroup groupController
+ */
+
+/**
+ * @defgroup SinCos Sine Cosine
+ *
+ * Computes the trigonometric sine and cosine values using a combination of table lookup
+ * and linear interpolation.
+ * There are separate functions for Q31 and floating-point data types.
+ * The input to the floating-point version is in degrees while the
+ * fixed-point Q31 have a scaled input with the range
+ * [-1 0.9999] mapping to [-180 +180] degrees.
+ *
+ * The floating point function also allows values that are out of the usual range. When this happens, the function will
+ * take extra time to adjust the input value to the range of [-180 180].
+ *
+ * The result is accurate to 5 digits after the decimal point.
+ *
+ * The implementation is based on table lookup using 360 values together with linear interpolation.
+ * The steps used are:
+ *  -# Calculation of the nearest integer table index.
+ *  -# Compute the fractional portion (fract) of the input.
+ *  -# Fetch the value corresponding to \c index from sine table to \c y0 and also value from \c index+1 to \c y1.
+ *  -# Sine value is computed as  *psinVal = y0 + (fract * (y1 - y0)).
+ *  -# Fetch the value corresponding to \c index from cosine table to \c y0 and also value from \c index+1 to \c y1.
+ *  -# Cosine value is computed as  *pcosVal = y0 + (fract * (y1 - y0)).
+ */
+
+ /**
+ * @addtogroup SinCos
+ * @{
+ */
+
+/**
+ * @brief  Floating-point sin_cos function.
+ * @param[in]  theta    input value in degrees
+ * @param[out] *pSinVal points to the processed sine output.
+ * @param[out] *pCosVal points to the processed cos output.
+ * @return none.
+ */
+
+void arm_sin_cos_f32(
+                      float32_t theta,
+                      float32_t * pSinVal,
+                      float32_t * pCosVal)
+{
+    float32_t fract, in;                             /* Temporary variables for input, output */
+    uint16_t indexS, indexC;                         /* Index variable */
+    float32_t f1, f2, d1, d2;                        /* Two nearest output values */
+    float32_t findex, Dn, Df, temp;
+
+    /* input x is in degrees */
+    /* Scale the input, divide input by 360, for cosine add 0.25 (pi/2) to read sine table */
+    in = theta * 0.00277777777778f;
+
+    if (in < 0.0f)
+    {
+        in = -in;
+    }
+
+    in = in - (int32_t)in;
+
+    /* Calculation of index of the table */
+    findex = (float32_t) FAST_MATH_TABLE_SIZE * in;
+    indexS = ((uint16_t)findex) & 0x1ff;
+    indexC = (indexS + (FAST_MATH_TABLE_SIZE / 4)) & 0x1ff;
+
+    /* fractional value calculation */
+    fract = findex - (float32_t) indexS;
+
+    /* Read two nearest values of input value from the cos & sin tables */
+    f1 = sinTable_f32[indexC+0];
+    f2 = sinTable_f32[indexC+1];
+    d1 = -sinTable_f32[indexS+0];
+    d2 = -sinTable_f32[indexS+1];
+
+    temp = (1.0f - fract) * f1 + fract * f2;
+
+    Dn = 0.0122718463030f; // delta between the two points (fixed), in this case 2*pi/FAST_MATH_TABLE_SIZE
+    Df = f2 - f1;          // delta between the values of the functions
+
+    temp = Dn *(d1 + d2) - 2 * Df;
+    temp = fract * temp + (3 * Df - (d2 + 2 * d1) * Dn);
+    temp = fract * temp + d1 * Dn;
+
+    /* Calculation of cosine value */
+    *pCosVal = fract * temp + f1;
+
+    /* Read two nearest values of input value from the cos & sin tables */
+    f1 = sinTable_f32[indexS+0];
+    f2 = sinTable_f32[indexS+1];
+    d1 = sinTable_f32[indexC+0];
+    d2 = sinTable_f32[indexC+1];
+
+    temp = (1.0f - fract) * f1 + fract * f2;
+
+    Df = f2 - f1; // delta between the values of the functions
+    temp = Dn*(d1 + d2) - 2*Df;
+    temp = fract*temp + (3*Df - (d2 + 2*d1)*Dn);
+    temp = fract*temp + d1*Dn;
+
+    /* Calculation of sine value */
+    *pSinVal = fract*temp + f1;
+
+    if (theta < 0.0f)
+    {
+        *pSinVal = -*pSinVal;
+    }
+}
+/**
+ * @} end of SinCos group
+ */
diff --git a/fw/hid-dials/Drivers/CMSIS/DSP/Source/ControllerFunctions/arm_sin_cos_q31.c b/fw/hid-dials/Drivers/CMSIS/DSP/Source/ControllerFunctions/arm_sin_cos_q31.c
new file mode 100644
index 0000000..c1c33ec
--- /dev/null
+++ b/fw/hid-dials/Drivers/CMSIS/DSP/Source/ControllerFunctions/arm_sin_cos_q31.c
@@ -0,0 +1,110 @@
+/* ----------------------------------------------------------------------
+ * Project:      CMSIS DSP Library
+ * Title:        arm_sin_cos_q31.c
+ * Description:  Cosine & Sine calculation for Q31 values
+ *
+ * $Date:        27. January 2017
+ * $Revision:    V.1.5.1
+ *
+ * Target Processor: Cortex-M cores
+ * -------------------------------------------------------------------- */
+/*
+ * Copyright (C) 2010-2017 ARM Limited or its affiliates. All rights reserved.
+ *
+ * SPDX-License-Identifier: Apache-2.0
+ *
+ * Licensed under the Apache License, Version 2.0 (the License); you may
+ * not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ * www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an AS IS BASIS, WITHOUT
+ * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+#include "arm_math.h"
+#include "arm_common_tables.h"
+
+/**
+ * @ingroup groupController
+ */
+
+ /**
+ * @addtogroup SinCos
+ * @{
+ */
+
+/**
+ * @brief  Q31 sin_cos function.
+ * @param[in]  theta    scaled input value in degrees
+ * @param[out] *pSinVal points to the processed sine output.
+ * @param[out] *pCosVal points to the processed cosine output.
+ * @return none.
+ *
+ * The Q31 input value is in the range [-1 0.999999] and is mapped to a degree value in the range [-180 179].
+ *
+ */
+
+void arm_sin_cos_q31(
+  q31_t theta,
+  q31_t * pSinVal,
+  q31_t * pCosVal)
+{
+  q31_t fract;                                 /* Temporary variables for input, output */
+  uint16_t indexS, indexC;                     /* Index variable */
+  q31_t f1, f2, d1, d2;                        /* Two nearest output values */
+  q31_t Dn, Df;
+  q63_t temp;
+
+  /* Calculate the nearest index */
+  indexS = (uint32_t)theta >> CONTROLLER_Q31_SHIFT;
+  indexC = (indexS + 128) & 0x1ff;
+
+  /* Calculation of fractional value */
+  fract = (theta - (indexS << CONTROLLER_Q31_SHIFT)) << 8;
+
+  /* Read two nearest values of input value from the cos & sin tables */
+  f1 = sinTable_q31[indexC+0];
+  f2 = sinTable_q31[indexC+1];
+  d1 = -sinTable_q31[indexS+0];
+  d2 = -sinTable_q31[indexS+1];
+
+  Dn = 0x1921FB5; // delta between the two points (fixed), in this case 2*pi/FAST_MATH_TABLE_SIZE
+  Df = f2 - f1; // delta between the values of the functions
+  temp = Dn*((q63_t)d1 + d2);
+  temp = temp - ((q63_t)Df << 32);
+  temp = (q63_t)fract*(temp >> 31);
+  temp = temp + ((3*(q63_t)Df << 31) - (d2 + ((q63_t)d1 << 1))*Dn);
+  temp = (q63_t)fract*(temp >> 31);
+  temp = temp + (q63_t)d1*Dn;
+  temp = (q63_t)fract*(temp >> 31);
+
+  /* Calculation of cosine value */
+  *pCosVal = clip_q63_to_q31((temp >> 31) + (q63_t)f1);
+
+  /* Read two nearest values of input value from the cos & sin tables */
+  f1 = sinTable_q31[indexS+0];
+  f2 = sinTable_q31[indexS+1];
+  d1 = sinTable_q31[indexC+0];
+  d2 = sinTable_q31[indexC+1];
+
+  Df = f2 - f1; // delta between the values of the functions
+  temp = Dn*((q63_t)d1 + d2);
+  temp = temp - ((q63_t)Df << 32);
+  temp = (q63_t)fract*(temp >> 31);
+  temp = temp + ((3*(q63_t)Df << 31) - (d2 + ((q63_t)d1 << 1))*Dn);
+  temp = (q63_t)fract*(temp >> 31);
+  temp = temp + (q63_t)d1*Dn;
+  temp = (q63_t)fract*(temp >> 31);
+
+  /* Calculation of sine value */
+  *pSinVal = clip_q63_to_q31((temp >> 31) + (q63_t)f1);
+}
+
+/**
+ * @} end of SinCos group
+ */
diff --git a/fw/hid-dials/Drivers/CMSIS/DSP/Source/FastMathFunctions/arm_cos_f32.c b/fw/hid-dials/Drivers/CMSIS/DSP/Source/FastMathFunctions/arm_cos_f32.c
new file mode 100644
index 0000000..44efbd5
--- /dev/null
+++ b/fw/hid-dials/Drivers/CMSIS/DSP/Source/FastMathFunctions/arm_cos_f32.c
@@ -0,0 +1,115 @@
+/* ----------------------------------------------------------------------
+ * Project:      CMSIS DSP Library
+ * Title:        arm_cos_f32.c
+ * Description:  Fast cosine calculation for floating-point values
+ *
+ * $Date:        27. January 2017
+ * $Revision:    V.1.5.1
+ *
+ * Target Processor: Cortex-M cores
+ * -------------------------------------------------------------------- */
+/*
+ * Copyright (C) 2010-2017 ARM Limited or its affiliates. All rights reserved.
+ *
+ * SPDX-License-Identifier: Apache-2.0
+ *
+ * Licensed under the Apache License, Version 2.0 (the License); you may
+ * not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ * www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an AS IS BASIS, WITHOUT
+ * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+#include "arm_math.h"
+#include "arm_common_tables.h"
+/**
+ * @ingroup groupFastMath
+ */
+
+/**
+ * @defgroup cos Cosine
+ *
+ * Computes the trigonometric cosine function using a combination of table lookup
+ * and linear interpolation.  There are separate functions for
+ * Q15, Q31, and floating-point data types.
+ * The input to the floating-point version is in radians and in the range [0 2*pi) while the
+ * fixed-point Q15 and Q31 have a scaled input with the range
+ * [0 +0.9999] mapping to [0 2*pi).  The fixed-point range is chosen so that a
+ * value of 2*pi wraps around to 0.
+ *
+ * The implementation is based on table lookup using 256 values together with linear interpolation.
+ * The steps used are:
+ *  -# Calculation of the nearest integer table index
+ *  -# Compute the fractional portion (fract) of the table index.
+ *  -# The final result equals (1.0f-fract)*a + fract*b;
+ *
+ * where
+ * 
+ *    b=Table[index+0];
+ *    c=Table[index+1];
+ * 
+ */ + + /** + * @addtogroup cos + * @{ + */ + +/** + * @brief Fast approximation to the trigonometric cosine function for floating-point data. + * @param[in] x input value in radians. + * @return cos(x). + */ + +float32_t arm_cos_f32( + float32_t x) +{ + float32_t cosVal, fract, in; /* Temporary variables for input, output */ + uint16_t index; /* Index variable */ + float32_t a, b; /* Two nearest output values */ + int32_t n; + float32_t findex; + + /* input x is in radians */ + /* Scale the input to [0 1] range from [0 2*PI] , divide input by 2*pi, add 0.25 (pi/2) to read sine table */ + in = x * 0.159154943092f + 0.25f; + + /* Calculation of floor value of input */ + n = (int32_t) in; + + /* Make negative values towards -infinity */ + if (in < 0.0f) + { + n--; + } + + /* Map input value to [0 1] */ + in = in - (float32_t) n; + + /* Calculation of index of the table */ + findex = (float32_t) FAST_MATH_TABLE_SIZE * in; + index = ((uint16_t)findex) & 0x1ff; + + /* fractional value calculation */ + fract = findex - (float32_t) index; + + /* Read two nearest values of input value from the cos table */ + a = sinTable_f32[index]; + b = sinTable_f32[index+1]; + + /* Linear interpolation process */ + cosVal = (1.0f-fract)*a + fract*b; + + /* Return the output value */ + return (cosVal); +} + +/** + * @} end of cos group + */ diff --git a/fw/hid-dials/Drivers/CMSIS/DSP/Source/FastMathFunctions/arm_cos_q15.c b/fw/hid-dials/Drivers/CMSIS/DSP/Source/FastMathFunctions/arm_cos_q15.c new file mode 100644 index 0000000..036c5d7 --- /dev/null +++ b/fw/hid-dials/Drivers/CMSIS/DSP/Source/FastMathFunctions/arm_cos_q15.c @@ -0,0 +1,84 @@ +/* ---------------------------------------------------------------------- + * Project: CMSIS DSP Library + * Title: arm_cos_q15.c + * Description: Fast cosine calculation for Q15 values + * + * $Date: 27. January 2017 + * $Revision: V.1.5.1 + * + * Target Processor: Cortex-M cores + * -------------------------------------------------------------------- */ +/* + * Copyright (C) 2010-2017 ARM Limited or its affiliates. All rights reserved. + * + * SPDX-License-Identifier: Apache-2.0 + * + * Licensed under the Apache License, Version 2.0 (the License); you may + * not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an AS IS BASIS, WITHOUT + * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ + +#include "arm_math.h" +#include "arm_common_tables.h" + +/** + * @ingroup groupFastMath + */ + + /** + * @addtogroup cos + * @{ + */ + +/** + * @brief Fast approximation to the trigonometric cosine function for Q15 data. + * @param[in] x Scaled input value in radians. + * @return cos(x). + * + * The Q15 input value is in the range [0 +0.9999] and is mapped to a radian + * value in the range [0 2*pi). + */ + +q15_t arm_cos_q15( + q15_t x) +{ + q15_t cosVal; /* Temporary variables for input, output */ + int32_t index; /* Index variables */ + q15_t a, b; /* Four nearest output values */ + q15_t fract; /* Temporary values for fractional values */ + + /* add 0.25 (pi/2) to read sine table */ + x = (uint16_t)x + 0x2000; + if (x < 0) + { /* convert negative numbers to corresponding positive ones */ + x = (uint16_t)x + 0x8000; + } + + /* Calculate the nearest index */ + index = (uint32_t)x >> FAST_MATH_Q15_SHIFT; + + /* Calculation of fractional value */ + fract = (x - (index << FAST_MATH_Q15_SHIFT)) << 9; + + /* Read two nearest values of input value from the sin table */ + a = sinTable_q15[index]; + b = sinTable_q15[index+1]; + + /* Linear interpolation process */ + cosVal = (q31_t)(0x8000-fract)*a >> 16; + cosVal = (q15_t)((((q31_t)cosVal << 16) + ((q31_t)fract*b)) >> 16); + + return cosVal << 1; +} + +/** + * @} end of cos group + */ diff --git a/fw/hid-dials/Drivers/CMSIS/DSP/Source/FastMathFunctions/arm_cos_q31.c b/fw/hid-dials/Drivers/CMSIS/DSP/Source/FastMathFunctions/arm_cos_q31.c new file mode 100644 index 0000000..105addb --- /dev/null +++ b/fw/hid-dials/Drivers/CMSIS/DSP/Source/FastMathFunctions/arm_cos_q31.c @@ -0,0 +1,84 @@ +/* ---------------------------------------------------------------------- + * Project: CMSIS DSP Library + * Title: arm_cos_q31.c + * Description: Fast cosine calculation for Q31 values + * + * $Date: 27. January 2017 + * $Revision: V.1.5.1 + * + * Target Processor: Cortex-M cores + * -------------------------------------------------------------------- */ +/* + * Copyright (C) 2010-2017 ARM Limited or its affiliates. All rights reserved. + * + * SPDX-License-Identifier: Apache-2.0 + * + * Licensed under the Apache License, Version 2.0 (the License); you may + * not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an AS IS BASIS, WITHOUT + * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ + +#include "arm_math.h" +#include "arm_common_tables.h" + +/** + * @ingroup groupFastMath + */ + + /** + * @addtogroup cos + * @{ + */ + +/** + * @brief Fast approximation to the trigonometric cosine function for Q31 data. + * @param[in] x Scaled input value in radians. + * @return cos(x). + * + * The Q31 input value is in the range [0 +0.9999] and is mapped to a radian + * value in the range [0 2*pi). + */ + +q31_t arm_cos_q31( + q31_t x) +{ + q31_t cosVal; /* Temporary variables for input, output */ + int32_t index; /* Index variables */ + q31_t a, b; /* Four nearest output values */ + q31_t fract; /* Temporary values for fractional values */ + + /* add 0.25 (pi/2) to read sine table */ + x = (uint32_t)x + 0x20000000; + if (x < 0) + { /* convert negative numbers to corresponding positive ones */ + x = (uint32_t)x + 0x80000000; + } + + /* Calculate the nearest index */ + index = (uint32_t)x >> FAST_MATH_Q31_SHIFT; + + /* Calculation of fractional value */ + fract = (x - (index << FAST_MATH_Q31_SHIFT)) << 9; + + /* Read two nearest values of input value from the sin table */ + a = sinTable_q31[index]; + b = sinTable_q31[index+1]; + + /* Linear interpolation process */ + cosVal = (q63_t)(0x80000000-fract)*a >> 32; + cosVal = (q31_t)((((q63_t)cosVal << 32) + ((q63_t)fract*b)) >> 32); + + return cosVal << 1; +} + +/** + * @} end of cos group + */ diff --git a/fw/hid-dials/Drivers/CMSIS/DSP/Source/FastMathFunctions/arm_sin_f32.c b/fw/hid-dials/Drivers/CMSIS/DSP/Source/FastMathFunctions/arm_sin_f32.c new file mode 100644 index 0000000..3fb5153 --- /dev/null +++ b/fw/hid-dials/Drivers/CMSIS/DSP/Source/FastMathFunctions/arm_sin_f32.c @@ -0,0 +1,123 @@ +/* ---------------------------------------------------------------------- + * Project: CMSIS DSP Library + * Title: arm_sin_f32.c + * Description: Fast sine calculation for floating-point values + * + * $Date: 27. January 2017 + * $Revision: V.1.5.1 + * + * Target Processor: Cortex-M cores + * -------------------------------------------------------------------- */ +/* + * Copyright (C) 2010-2017 ARM Limited or its affiliates. All rights reserved. + * + * SPDX-License-Identifier: Apache-2.0 + * + * Licensed under the Apache License, Version 2.0 (the License); you may + * not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an AS IS BASIS, WITHOUT + * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ + +#include "arm_math.h" +#include "arm_common_tables.h" +#include + +/** + * @ingroup groupFastMath + */ + +/** + * @defgroup sin Sine + * + * Computes the trigonometric sine function using a combination of table lookup + * and linear interpolation. There are separate functions for + * Q15, Q31, and floating-point data types. + * The input to the floating-point version is in radians and in the range [0 2*pi) while the + * fixed-point Q15 and Q31 have a scaled input with the range + * [0 +0.9999] mapping to [0 2*pi). The fixed-point range is chosen so that a + * value of 2*pi wraps around to 0. + * + * The implementation is based on table lookup using 256 values together with linear interpolation. + * The steps used are: + * -# Calculation of the nearest integer table index + * -# Compute the fractional portion (fract) of the table index. + * -# The final result equals (1.0f-fract)*a + fract*b; + * + * where + *
+ *    b=Table[index+0];
+ *    c=Table[index+1];
+ * 
+ */ + +/** + * @addtogroup sin + * @{ + */ + +/** + * @brief Fast approximation to the trigonometric sine function for floating-point data. + * @param[in] x input value in radians. + * @return sin(x). + */ + +float32_t arm_sin_f32( + float32_t x) +{ + float32_t sinVal, fract, in; /* Temporary variables for input, output */ + uint16_t index; /* Index variable */ + float32_t a, b; /* Two nearest output values */ + int32_t n; + float32_t findex; + + /* Special case for small negative inputs */ + if ((x < 0.0f) && (x >= -1.9e-7f)) { + return x; + } + + /* input x is in radians */ + /* Scale the input to [0 1] range from [0 2*PI] , divide input by 2*pi */ + in = x * 0.159154943092f; + + /* Calculation of floor value of input */ + n = (int32_t) in; + + /* Make negative values towards -infinity */ + if (x < 0.0f) + { + n--; + } + + /* Map input value to [0 1] */ + in = in - (float32_t) n; + + /* Calculation of index of the table */ + findex = (float32_t) FAST_MATH_TABLE_SIZE * in; + + index = ((uint16_t)findex) & 0x1ff; + + /* fractional value calculation */ + fract = findex - (float32_t) index; + + /* Read two nearest values of input value from the sin table */ + a = sinTable_f32[index]; + b = sinTable_f32[index+1]; + + /* Linear interpolation process */ + sinVal = (1.0f-fract)*a + fract*b; + + /* Return the output value */ + return (sinVal); +} + +/** + * @} end of sin group + */ diff --git a/fw/hid-dials/Drivers/CMSIS/DSP/Source/FastMathFunctions/arm_sin_q15.c b/fw/hid-dials/Drivers/CMSIS/DSP/Source/FastMathFunctions/arm_sin_q15.c new file mode 100644 index 0000000..9eecaa9 --- /dev/null +++ b/fw/hid-dials/Drivers/CMSIS/DSP/Source/FastMathFunctions/arm_sin_q15.c @@ -0,0 +1,76 @@ +/* ---------------------------------------------------------------------- + * Project: CMSIS DSP Library + * Title: arm_sin_q15.c + * Description: Fast sine calculation for Q15 values + * + * $Date: 27. January 2017 + * $Revision: V.1.5.1 + * + * Target Processor: Cortex-M cores + * -------------------------------------------------------------------- */ +/* + * Copyright (C) 2010-2017 ARM Limited or its affiliates. All rights reserved. + * + * SPDX-License-Identifier: Apache-2.0 + * + * Licensed under the Apache License, Version 2.0 (the License); you may + * not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an AS IS BASIS, WITHOUT + * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ + +#include "arm_math.h" +#include "arm_common_tables.h" + +/** + * @ingroup groupFastMath + */ + + /** + * @addtogroup sin + * @{ + */ + +/** + * @brief Fast approximation to the trigonometric sine function for Q15 data. + * @param[in] x Scaled input value in radians. + * @return sin(x). + * + * The Q15 input value is in the range [0 +0.9999] and is mapped to a radian value in the range [0 2*pi). + */ + +q15_t arm_sin_q15( + q15_t x) +{ + q15_t sinVal; /* Temporary variables for input, output */ + int32_t index; /* Index variables */ + q15_t a, b; /* Four nearest output values */ + q15_t fract; /* Temporary values for fractional values */ + + /* Calculate the nearest index */ + index = (uint32_t)x >> FAST_MATH_Q15_SHIFT; + + /* Calculation of fractional value */ + fract = (x - (index << FAST_MATH_Q15_SHIFT)) << 9; + + /* Read two nearest values of input value from the sin table */ + a = sinTable_q15[index]; + b = sinTable_q15[index+1]; + + /* Linear interpolation process */ + sinVal = (q31_t)(0x8000-fract)*a >> 16; + sinVal = (q15_t)((((q31_t)sinVal << 16) + ((q31_t)fract*b)) >> 16); + + return sinVal << 1; +} + +/** + * @} end of sin group + */ diff --git a/fw/hid-dials/Drivers/CMSIS/DSP/Source/FastMathFunctions/arm_sin_q31.c b/fw/hid-dials/Drivers/CMSIS/DSP/Source/FastMathFunctions/arm_sin_q31.c new file mode 100644 index 0000000..2119016 --- /dev/null +++ b/fw/hid-dials/Drivers/CMSIS/DSP/Source/FastMathFunctions/arm_sin_q31.c @@ -0,0 +1,75 @@ +/* ---------------------------------------------------------------------- + * Project: CMSIS DSP Library + * Title: arm_sin_q31.c + * Description: Fast sine calculation for Q31 values + * + * $Date: 27. January 2017 + * $Revision: V.1.5.1 + * + * Target Processor: Cortex-M cores + * -------------------------------------------------------------------- */ +/* + * Copyright (C) 2010-2017 ARM Limited or its affiliates. All rights reserved. + * + * SPDX-License-Identifier: Apache-2.0 + * + * Licensed under the Apache License, Version 2.0 (the License); you may + * not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an AS IS BASIS, WITHOUT + * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ + +#include "arm_math.h" +#include "arm_common_tables.h" + +/** + * @ingroup groupFastMath + */ + + /** + * @addtogroup sin + * @{ + */ + +/** + * @brief Fast approximation to the trigonometric sine function for Q31 data. + * @param[in] x Scaled input value in radians. + * @return sin(x). + * + * The Q31 input value is in the range [0 +0.9999] and is mapped to a radian value in the range [0 2*pi). */ + +q31_t arm_sin_q31( + q31_t x) +{ + q31_t sinVal; /* Temporary variables for input, output */ + int32_t index; /* Index variables */ + q31_t a, b; /* Four nearest output values */ + q31_t fract; /* Temporary values for fractional values */ + + /* Calculate the nearest index */ + index = (uint32_t)x >> FAST_MATH_Q31_SHIFT; + + /* Calculation of fractional value */ + fract = (x - (index << FAST_MATH_Q31_SHIFT)) << 9; + + /* Read two nearest values of input value from the sin table */ + a = sinTable_q31[index]; + b = sinTable_q31[index+1]; + + /* Linear interpolation process */ + sinVal = (q63_t)(0x80000000-fract)*a >> 32; + sinVal = (q31_t)((((q63_t)sinVal << 32) + ((q63_t)fract*b)) >> 32); + + return sinVal << 1; +} + +/** + * @} end of sin group + */ diff --git a/fw/hid-dials/Drivers/CMSIS/DSP/Source/FastMathFunctions/arm_sqrt_q15.c b/fw/hid-dials/Drivers/CMSIS/DSP/Source/FastMathFunctions/arm_sqrt_q15.c new file mode 100644 index 0000000..83e4ddd --- /dev/null +++ b/fw/hid-dials/Drivers/CMSIS/DSP/Source/FastMathFunctions/arm_sqrt_q15.c @@ -0,0 +1,144 @@ +/* ---------------------------------------------------------------------- + * Project: CMSIS DSP Library + * Title: arm_sqrt_q15.c + * Description: Q15 square root function + * + * $Date: 27. January 2017 + * $Revision: V.1.5.1 + * + * Target Processor: Cortex-M cores + * -------------------------------------------------------------------- */ +/* + * Copyright (C) 2010-2017 ARM Limited or its affiliates. All rights reserved. + * + * SPDX-License-Identifier: Apache-2.0 + * + * Licensed under the Apache License, Version 2.0 (the License); you may + * not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an AS IS BASIS, WITHOUT + * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ + +#include "arm_math.h" +#include "arm_common_tables.h" + + +/** + * @ingroup groupFastMath + */ + +/** + * @addtogroup SQRT + * @{ + */ + + /** + * @brief Q15 square root function. + * @param[in] in input value. The range of the input value is [0 +1) or 0x0000 to 0x7FFF. + * @param[out] *pOut square root of input value. + * @return The function returns ARM_MATH_SUCCESS if the input value is positive + * and ARM_MATH_ARGUMENT_ERROR if the input is negative. For + * negative inputs, the function returns *pOut = 0. + */ + +arm_status arm_sqrt_q15( + q15_t in, + q15_t * pOut) +{ + q15_t number, temp1, var1, signBits1, half; + q31_t bits_val1; + float32_t temp_float1; + union + { + q31_t fracval; + float32_t floatval; + } tempconv; + + number = in; + + /* If the input is a positive number then compute the signBits. */ + if (number > 0) + { + signBits1 = __CLZ(number) - 17; + + /* Shift by the number of signBits1 */ + if ((signBits1 % 2) == 0) + { + number = number << signBits1; + } + else + { + number = number << (signBits1 - 1); + } + + /* Calculate half value of the number */ + half = number >> 1; + /* Store the number for later use */ + temp1 = number; + + /* Convert to float */ + temp_float1 = number * 3.051757812500000e-005f; + /*Store as integer */ + tempconv.floatval = temp_float1; + bits_val1 = tempconv.fracval; + /* Subtract the shifted value from the magic number to give intial guess */ + bits_val1 = 0x5f3759df - (bits_val1 >> 1); /* gives initial guess */ + /* Store as float */ + tempconv.fracval = bits_val1; + temp_float1 = tempconv.floatval; + /* Convert to integer format */ + var1 = (q31_t) (temp_float1 * 16384); + + /* 1st iteration */ + var1 = ((q15_t) ((q31_t) var1 * (0x3000 - + ((q15_t) + ((((q15_t) + (((q31_t) var1 * var1) >> 15)) * + (q31_t) half) >> 15))) >> 15)) << 2; + /* 2nd iteration */ + var1 = ((q15_t) ((q31_t) var1 * (0x3000 - + ((q15_t) + ((((q15_t) + (((q31_t) var1 * var1) >> 15)) * + (q31_t) half) >> 15))) >> 15)) << 2; + /* 3rd iteration */ + var1 = ((q15_t) ((q31_t) var1 * (0x3000 - + ((q15_t) + ((((q15_t) + (((q31_t) var1 * var1) >> 15)) * + (q31_t) half) >> 15))) >> 15)) << 2; + + /* Multiply the inverse square root with the original value */ + var1 = ((q15_t) (((q31_t) temp1 * var1) >> 15)) << 1; + + /* Shift the output down accordingly */ + if ((signBits1 % 2) == 0) + { + var1 = var1 >> (signBits1 / 2); + } + else + { + var1 = var1 >> ((signBits1 - 1) / 2); + } + *pOut = var1; + + return (ARM_MATH_SUCCESS); + } + /* If the number is a negative number then store zero as its square root value */ + else + { + *pOut = 0; + return (ARM_MATH_ARGUMENT_ERROR); + } +} + +/** + * @} end of SQRT group + */ diff --git a/fw/hid-dials/Drivers/CMSIS/DSP/Source/FastMathFunctions/arm_sqrt_q31.c b/fw/hid-dials/Drivers/CMSIS/DSP/Source/FastMathFunctions/arm_sqrt_q31.c new file mode 100644 index 0000000..de8c35f --- /dev/null +++ b/fw/hid-dials/Drivers/CMSIS/DSP/Source/FastMathFunctions/arm_sqrt_q31.c @@ -0,0 +1,142 @@ +/* ---------------------------------------------------------------------- + * Project: CMSIS DSP Library + * Title: arm_sqrt_q31.c + * Description: Q31 square root function + * + * $Date: 27. January 2017 + * $Revision: V.1.5.1 + * + * Target Processor: Cortex-M cores + * -------------------------------------------------------------------- */ +/* + * Copyright (C) 2010-2017 ARM Limited or its affiliates. All rights reserved. + * + * SPDX-License-Identifier: Apache-2.0 + * + * Licensed under the Apache License, Version 2.0 (the License); you may + * not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an AS IS BASIS, WITHOUT + * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ + +#include "arm_math.h" +#include "arm_common_tables.h" + +/** + * @ingroup groupFastMath + */ + +/** + * @addtogroup SQRT + * @{ + */ + +/** + * @brief Q31 square root function. + * @param[in] in input value. The range of the input value is [0 +1) or 0x00000000 to 0x7FFFFFFF. + * @param[out] *pOut square root of input value. + * @return The function returns ARM_MATH_SUCCESS if the input value is positive + * and ARM_MATH_ARGUMENT_ERROR if the input is negative. For + * negative inputs, the function returns *pOut = 0. + */ + +arm_status arm_sqrt_q31( + q31_t in, + q31_t * pOut) +{ + q31_t number, temp1, bits_val1, var1, signBits1, half; + float32_t temp_float1; + union + { + q31_t fracval; + float32_t floatval; + } tempconv; + + number = in; + + /* If the input is a positive number then compute the signBits. */ + if (number > 0) + { + signBits1 = __CLZ(number) - 1; + + /* Shift by the number of signBits1 */ + if ((signBits1 % 2) == 0) + { + number = number << signBits1; + } + else + { + number = number << (signBits1 - 1); + } + + /* Calculate half value of the number */ + half = number >> 1; + /* Store the number for later use */ + temp1 = number; + + /*Convert to float */ + temp_float1 = number * 4.6566128731e-010f; + /*Store as integer */ + tempconv.floatval = temp_float1; + bits_val1 = tempconv.fracval; + /* Subtract the shifted value from the magic number to give intial guess */ + bits_val1 = 0x5f3759df - (bits_val1 >> 1); /* gives initial guess */ + /* Store as float */ + tempconv.fracval = bits_val1; + temp_float1 = tempconv.floatval; + /* Convert to integer format */ + var1 = (q31_t) (temp_float1 * 1073741824); + + /* 1st iteration */ + var1 = ((q31_t) ((q63_t) var1 * (0x30000000 - + ((q31_t) + ((((q31_t) + (((q63_t) var1 * var1) >> 31)) * + (q63_t) half) >> 31))) >> 31)) << 2; + /* 2nd iteration */ + var1 = ((q31_t) ((q63_t) var1 * (0x30000000 - + ((q31_t) + ((((q31_t) + (((q63_t) var1 * var1) >> 31)) * + (q63_t) half) >> 31))) >> 31)) << 2; + /* 3rd iteration */ + var1 = ((q31_t) ((q63_t) var1 * (0x30000000 - + ((q31_t) + ((((q31_t) + (((q63_t) var1 * var1) >> 31)) * + (q63_t) half) >> 31))) >> 31)) << 2; + + /* Multiply the inverse square root with the original value */ + var1 = ((q31_t) (((q63_t) temp1 * var1) >> 31)) << 1; + + /* Shift the output down accordingly */ + if ((signBits1 % 2) == 0) + { + var1 = var1 >> (signBits1 / 2); + } + else + { + var1 = var1 >> ((signBits1 - 1) / 2); + } + *pOut = var1; + + return (ARM_MATH_SUCCESS); + } + /* If the number is a negative number then store zero as its square root value */ + else + { + *pOut = 0; + return (ARM_MATH_ARGUMENT_ERROR); + } +} + +/** + * @} end of SQRT group + */ diff --git a/fw/hid-dials/Drivers/CMSIS/DSP/Source/FilteringFunctions/arm_biquad_cascade_df1_32x64_init_q31.c b/fw/hid-dials/Drivers/CMSIS/DSP/Source/FilteringFunctions/arm_biquad_cascade_df1_32x64_init_q31.c new file mode 100644 index 0000000..8a29213 --- /dev/null +++ b/fw/hid-dials/Drivers/CMSIS/DSP/Source/FilteringFunctions/arm_biquad_cascade_df1_32x64_init_q31.c @@ -0,0 +1,98 @@ +/* ---------------------------------------------------------------------- + * Project: CMSIS DSP Library + * Title: arm_biquad_cascade_df1_32x64_init_q31.c + * Description: High precision Q31 Biquad cascade filter initialization function + * + * $Date: 27. January 2017 + * $Revision: V.1.5.1 + * + * Target Processor: Cortex-M cores + * -------------------------------------------------------------------- */ +/* + * Copyright (C) 2010-2017 ARM Limited or its affiliates. All rights reserved. + * + * SPDX-License-Identifier: Apache-2.0 + * + * Licensed under the Apache License, Version 2.0 (the License); you may + * not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an AS IS BASIS, WITHOUT + * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ + +#include "arm_math.h" + +/** + * @ingroup groupFilters + */ + +/** + * @addtogroup BiquadCascadeDF1_32x64 + * @{ + */ + +/** + * @details + * + * @param[in,out] *S points to an instance of the high precision Q31 Biquad cascade filter structure. + * @param[in] numStages number of 2nd order stages in the filter. + * @param[in] *pCoeffs points to the filter coefficients. + * @param[in] *pState points to the state buffer. + * @param[in] postShift Shift to be applied after the accumulator. Varies according to the coefficients format. + * @return none + * + * Coefficient and State Ordering: + * + * \par + * The coefficients are stored in the array pCoeffs in the following order: + *
+ *     {b10, b11, b12, a11, a12, b20, b21, b22, a21, a22, ...}
+ * 
+ * where b1x and a1x are the coefficients for the first stage, + * b2x and a2x are the coefficients for the second stage, + * and so on. The pCoeffs array contains a total of 5*numStages values. + * + * \par + * The pState points to state variables array and size of each state variable is 1.63 format. + * Each Biquad stage has 4 state variables x[n-1], x[n-2], y[n-1], and y[n-2]. + * The state variables are arranged in the state array as: + *
+ *     {x[n-1], x[n-2], y[n-1], y[n-2]}
+ * 
+ * The 4 state variables for stage 1 are first, then the 4 state variables for stage 2, and so on. + * The state array has a total length of 4*numStages values. + * The state variables are updated after each block of data is processed; the coefficients are untouched. + */ + +void arm_biquad_cas_df1_32x64_init_q31( + arm_biquad_cas_df1_32x64_ins_q31 * S, + uint8_t numStages, + q31_t * pCoeffs, + q63_t * pState, + uint8_t postShift) +{ + /* Assign filter stages */ + S->numStages = numStages; + + /* Assign postShift to be applied to the output */ + S->postShift = postShift; + + /* Assign coefficient pointer */ + S->pCoeffs = pCoeffs; + + /* Clear state buffer and size is always 4 * numStages */ + memset(pState, 0, (4U * (uint32_t) numStages) * sizeof(q63_t)); + + /* Assign state pointer */ + S->pState = pState; +} + +/** + * @} end of BiquadCascadeDF1_32x64 group + */ diff --git a/fw/hid-dials/Drivers/CMSIS/DSP/Source/FilteringFunctions/arm_biquad_cascade_df1_32x64_q31.c b/fw/hid-dials/Drivers/CMSIS/DSP/Source/FilteringFunctions/arm_biquad_cascade_df1_32x64_q31.c new file mode 100644 index 0000000..d241f76 --- /dev/null +++ b/fw/hid-dials/Drivers/CMSIS/DSP/Source/FilteringFunctions/arm_biquad_cascade_df1_32x64_q31.c @@ -0,0 +1,549 @@ +/* ---------------------------------------------------------------------- + * Project: CMSIS DSP Library + * Title: arm_biquad_cascade_df1_32x64_q31.c + * Description: High precision Q31 Biquad cascade filter processing function + * + * $Date: 27. January 2017 + * $Revision: V.1.5.1 + * + * Target Processor: Cortex-M cores + * -------------------------------------------------------------------- */ +/* + * Copyright (C) 2010-2017 ARM Limited or its affiliates. All rights reserved. + * + * SPDX-License-Identifier: Apache-2.0 + * + * Licensed under the Apache License, Version 2.0 (the License); you may + * not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an AS IS BASIS, WITHOUT + * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ + +#include "arm_math.h" + +/** + * @ingroup groupFilters + */ + +/** + * @defgroup BiquadCascadeDF1_32x64 High Precision Q31 Biquad Cascade Filter + * + * This function implements a high precision Biquad cascade filter which operates on + * Q31 data values. The filter coefficients are in 1.31 format and the state variables + * are in 1.63 format. The double precision state variables reduce quantization noise + * in the filter and provide a cleaner output. + * These filters are particularly useful when implementing filters in which the + * singularities are close to the unit circle. This is common for low pass or high + * pass filters with very low cutoff frequencies. + * + * The function operates on blocks of input and output data + * and each call to the function processes blockSize samples through + * the filter. pSrc and pDst points to input and output arrays + * containing blockSize Q31 values. + * + * \par Algorithm + * Each Biquad stage implements a second order filter using the difference equation: + *
+ *     y[n] = b0 * x[n] + b1 * x[n-1] + b2 * x[n-2] + a1 * y[n-1] + a2 * y[n-2]
+ * 
+ * A Direct Form I algorithm is used with 5 coefficients and 4 state variables per stage. + * \image html Biquad.gif "Single Biquad filter stage" + * Coefficients b0, b1, and b2 multiply the input signal x[n] and are referred to as the feedforward coefficients. + * Coefficients a1 and a2 multiply the output signal y[n] and are referred to as the feedback coefficients. + * Pay careful attention to the sign of the feedback coefficients. + * Some design tools use the difference equation + *
+ *     y[n] = b0 * x[n] + b1 * x[n-1] + b2 * x[n-2] - a1 * y[n-1] - a2 * y[n-2]
+ * 
+ * In this case the feedback coefficients a1 and a2 must be negated when used with the CMSIS DSP Library. + * + * \par + * Higher order filters are realized as a cascade of second order sections. + * numStages refers to the number of second order stages used. + * For example, an 8th order filter would be realized with numStages=4 second order stages. + * \image html BiquadCascade.gif "8th order filter using a cascade of Biquad stages" + * A 9th order filter would be realized with numStages=5 second order stages with the coefficients for one of the stages configured as a first order filter (b2=0 and a2=0). + * + * \par + * The pState points to state variables array . + * Each Biquad stage has 4 state variables x[n-1], x[n-2], y[n-1], and y[n-2] and each state variable in 1.63 format to improve precision. + * The state variables are arranged in the array as: + *
+ *     {x[n-1], x[n-2], y[n-1], y[n-2]}
+ * 
+ * + * \par + * The 4 state variables for stage 1 are first, then the 4 state variables for stage 2, and so on. + * The state array has a total length of 4*numStages values of data in 1.63 format. + * The state variables are updated after each block of data is processed; the coefficients are untouched. + * + * \par Instance Structure + * The coefficients and state variables for a filter are stored together in an instance data structure. + * A separate instance structure must be defined for each filter. + * Coefficient arrays may be shared among several instances while state variable arrays cannot be shared. + * + * \par Init Function + * There is also an associated initialization function which performs the following operations: + * - Sets the values of the internal structure fields. + * - Zeros out the values in the state buffer. + * To do this manually without calling the init function, assign the follow subfields of the instance structure: + * numStages, pCoeffs, postShift, pState. Also set all of the values in pState to zero. + * + * \par + * Use of the initialization function is optional. + * However, if the initialization function is used, then the instance structure cannot be placed into a const data section. + * To place an instance structure into a const data section, the instance structure must be manually initialized. + * Set the values in the state buffer to zeros before static initialization. + * For example, to statically initialize the filter instance structure use + *
+ *     arm_biquad_cas_df1_32x64_ins_q31 S1 = {numStages, pState, pCoeffs, postShift};
+ * 
+ * where numStages is the number of Biquad stages in the filter; pState is the address of the state buffer; + * pCoeffs is the address of the coefficient buffer; postShift shift to be applied which is described in detail below. + * \par Fixed-Point Behavior + * Care must be taken while using Biquad Cascade 32x64 filter function. + * Following issues must be considered: + * - Scaling of coefficients + * - Filter gain + * - Overflow and saturation + * + * \par + * Filter coefficients are represented as fractional values and + * restricted to lie in the range [-1 +1). + * The processing function has an additional scaling parameter postShift + * which allows the filter coefficients to exceed the range [+1 -1). + * At the output of the filter's accumulator is a shift register which shifts the result by postShift bits. + * \image html BiquadPostshift.gif "Fixed-point Biquad with shift by postShift bits after accumulator" + * This essentially scales the filter coefficients by 2^postShift. + * For example, to realize the coefficients + *
+ *    {1.5, -0.8, 1.2, 1.6, -0.9}
+ * 
+ * set the Coefficient array to: + *
+ *    {0.75, -0.4, 0.6, 0.8, -0.45}
+ * 
+ * and set postShift=1 + * + * \par + * The second thing to keep in mind is the gain through the filter. + * The frequency response of a Biquad filter is a function of its coefficients. + * It is possible for the gain through the filter to exceed 1.0 meaning that the filter increases the amplitude of certain frequencies. + * This means that an input signal with amplitude < 1.0 may result in an output > 1.0 and these are saturated or overflowed based on the implementation of the filter. + * To avoid this behavior the filter needs to be scaled down such that its peak gain < 1.0 or the input signal must be scaled down so that the combination of input and filter are never overflowed. + * + * \par + * The third item to consider is the overflow and saturation behavior of the fixed-point Q31 version. + * This is described in the function specific documentation below. + */ + +/** + * @addtogroup BiquadCascadeDF1_32x64 + * @{ + */ + +/** + * @details + + * @param[in] *S points to an instance of the high precision Q31 Biquad cascade filter. + * @param[in] *pSrc points to the block of input data. + * @param[out] *pDst points to the block of output data. + * @param[in] blockSize number of samples to process. + * @return none. + * + * \par + * The function is implemented using an internal 64-bit accumulator. + * The accumulator has a 2.62 format and maintains full precision of the intermediate multiplication results but provides only a single guard bit. + * Thus, if the accumulator result overflows it wraps around rather than clip. + * In order to avoid overflows completely the input signal must be scaled down by 2 bits and lie in the range [-0.25 +0.25). + * After all 5 multiply-accumulates are performed, the 2.62 accumulator is shifted by postShift bits and the result truncated to + * 1.31 format by discarding the low 32 bits. + * + * \par + * Two related functions are provided in the CMSIS DSP library. + * arm_biquad_cascade_df1_q31() implements a Biquad cascade with 32-bit coefficients and state variables with a Q63 accumulator. + * arm_biquad_cascade_df1_fast_q31() implements a Biquad cascade with 32-bit coefficients and state variables with a Q31 accumulator. + */ + +void arm_biquad_cas_df1_32x64_q31( + const arm_biquad_cas_df1_32x64_ins_q31 * S, + q31_t * pSrc, + q31_t * pDst, + uint32_t blockSize) +{ + q31_t *pIn = pSrc; /* input pointer initialization */ + q31_t *pOut = pDst; /* output pointer initialization */ + q63_t *pState = S->pState; /* state pointer initialization */ + q31_t *pCoeffs = S->pCoeffs; /* coeff pointer initialization */ + q63_t acc; /* accumulator */ + q31_t Xn1, Xn2; /* Input Filter state variables */ + q63_t Yn1, Yn2; /* Output Filter state variables */ + q31_t b0, b1, b2, a1, a2; /* Filter coefficients */ + q31_t Xn; /* temporary input */ + int32_t shift = (int32_t) S->postShift + 1; /* Shift to be applied to the output */ + uint32_t sample, stage = S->numStages; /* loop counters */ + q31_t acc_l, acc_h; /* temporary output */ + uint32_t uShift = ((uint32_t) S->postShift + 1U); + uint32_t lShift = 32U - uShift; /* Shift to be applied to the output */ + + +#if defined (ARM_MATH_DSP) + + /* Run the below code for Cortex-M4 and Cortex-M3 */ + + do + { + /* Reading the coefficients */ + b0 = *pCoeffs++; + b1 = *pCoeffs++; + b2 = *pCoeffs++; + a1 = *pCoeffs++; + a2 = *pCoeffs++; + + /* Reading the state values */ + Xn1 = (q31_t) (pState[0]); + Xn2 = (q31_t) (pState[1]); + Yn1 = pState[2]; + Yn2 = pState[3]; + + /* Apply loop unrolling and compute 4 output values simultaneously. */ + /* The variable acc hold output value that is being computed and + * stored in the destination buffer + * acc = b0 * x[n] + b1 * x[n-1] + b2 * x[n-2] + a1 * y[n-1] + a2 * y[n-2] + */ + + sample = blockSize >> 2U; + + /* First part of the processing with loop unrolling. Compute 4 outputs at a time. + ** a second loop below computes the remaining 1 to 3 samples. */ + while (sample > 0U) + { + /* Read the input */ + Xn = *pIn++; + + /* acc = b0 * x[n] + b1 * x[n-1] + b2 * x[n-2] + a1 * y[n-1] + a2 * y[n-2] */ + + /* acc = b0 * x[n] */ + acc = (q63_t) Xn *b0; + + /* acc += b1 * x[n-1] */ + acc += (q63_t) Xn1 *b1; + + /* acc += b[2] * x[n-2] */ + acc += (q63_t) Xn2 *b2; + + /* acc += a1 * y[n-1] */ + acc += mult32x64(Yn1, a1); + + /* acc += a2 * y[n-2] */ + acc += mult32x64(Yn2, a2); + + /* The result is converted to 1.63 , Yn2 variable is reused */ + Yn2 = acc << shift; + + /* Calc lower part of acc */ + acc_l = acc & 0xffffffff; + + /* Calc upper part of acc */ + acc_h = (acc >> 32) & 0xffffffff; + + /* Apply shift for lower part of acc and upper part of acc */ + acc_h = (uint32_t) acc_l >> lShift | acc_h << uShift; + + /* Store the output in the destination buffer in 1.31 format. */ + *pOut = acc_h; + + /* Read the second input into Xn2, to reuse the value */ + Xn2 = *pIn++; + + /* acc = b0 * x[n] + b1 * x[n-1] + b2 * x[n-2] + a1 * y[n-1] + a2 * y[n-2] */ + + /* acc += b1 * x[n-1] */ + acc = (q63_t) Xn *b1; + + /* acc = b0 * x[n] */ + acc += (q63_t) Xn2 *b0; + + /* acc += b[2] * x[n-2] */ + acc += (q63_t) Xn1 *b2; + + /* acc += a1 * y[n-1] */ + acc += mult32x64(Yn2, a1); + + /* acc += a2 * y[n-2] */ + acc += mult32x64(Yn1, a2); + + /* The result is converted to 1.63, Yn1 variable is reused */ + Yn1 = acc << shift; + + /* Calc lower part of acc */ + acc_l = acc & 0xffffffff; + + /* Calc upper part of acc */ + acc_h = (acc >> 32) & 0xffffffff; + + /* Apply shift for lower part of acc and upper part of acc */ + acc_h = (uint32_t) acc_l >> lShift | acc_h << uShift; + + /* Read the third input into Xn1, to reuse the value */ + Xn1 = *pIn++; + + /* The result is converted to 1.31 */ + /* Store the output in the destination buffer. */ + *(pOut + 1U) = acc_h; + + /* acc = b0 * x[n] + b1 * x[n-1] + b2 * x[n-2] + a1 * y[n-1] + a2 * y[n-2] */ + + /* acc = b0 * x[n] */ + acc = (q63_t) Xn1 *b0; + + /* acc += b1 * x[n-1] */ + acc += (q63_t) Xn2 *b1; + + /* acc += b[2] * x[n-2] */ + acc += (q63_t) Xn *b2; + + /* acc += a1 * y[n-1] */ + acc += mult32x64(Yn1, a1); + + /* acc += a2 * y[n-2] */ + acc += mult32x64(Yn2, a2); + + /* The result is converted to 1.63, Yn2 variable is reused */ + Yn2 = acc << shift; + + /* Calc lower part of acc */ + acc_l = acc & 0xffffffff; + + /* Calc upper part of acc */ + acc_h = (acc >> 32) & 0xffffffff; + + /* Apply shift for lower part of acc and upper part of acc */ + acc_h = (uint32_t) acc_l >> lShift | acc_h << uShift; + + /* Store the output in the destination buffer in 1.31 format. */ + *(pOut + 2U) = acc_h; + + /* Read the fourth input into Xn, to reuse the value */ + Xn = *pIn++; + + /* acc = b0 * x[n] + b1 * x[n-1] + b2 * x[n-2] + a1 * y[n-1] + a2 * y[n-2] */ + /* acc = b0 * x[n] */ + acc = (q63_t) Xn *b0; + + /* acc += b1 * x[n-1] */ + acc += (q63_t) Xn1 *b1; + + /* acc += b[2] * x[n-2] */ + acc += (q63_t) Xn2 *b2; + + /* acc += a1 * y[n-1] */ + acc += mult32x64(Yn2, a1); + + /* acc += a2 * y[n-2] */ + acc += mult32x64(Yn1, a2); + + /* The result is converted to 1.63, Yn1 variable is reused */ + Yn1 = acc << shift; + + /* Calc lower part of acc */ + acc_l = acc & 0xffffffff; + + /* Calc upper part of acc */ + acc_h = (acc >> 32) & 0xffffffff; + + /* Apply shift for lower part of acc and upper part of acc */ + acc_h = (uint32_t) acc_l >> lShift | acc_h << uShift; + + /* Store the output in the destination buffer in 1.31 format. */ + *(pOut + 3U) = acc_h; + + /* Every time after the output is computed state should be updated. */ + /* The states should be updated as: */ + /* Xn2 = Xn1 */ + /* Xn1 = Xn */ + /* Yn2 = Yn1 */ + /* Yn1 = acc */ + Xn2 = Xn1; + Xn1 = Xn; + + /* update output pointer */ + pOut += 4U; + + /* decrement the loop counter */ + sample--; + } + + /* If the blockSize is not a multiple of 4, compute any remaining output samples here. + ** No loop unrolling is used. */ + sample = (blockSize & 0x3U); + + while (sample > 0U) + { + /* Read the input */ + Xn = *pIn++; + + /* acc = b0 * x[n] + b1 * x[n-1] + b2 * x[n-2] + a1 * y[n-1] + a2 * y[n-2] */ + + /* acc = b0 * x[n] */ + acc = (q63_t) Xn *b0; + /* acc += b1 * x[n-1] */ + acc += (q63_t) Xn1 *b1; + /* acc += b[2] * x[n-2] */ + acc += (q63_t) Xn2 *b2; + /* acc += a1 * y[n-1] */ + acc += mult32x64(Yn1, a1); + /* acc += a2 * y[n-2] */ + acc += mult32x64(Yn2, a2); + + /* Every time after the output is computed state should be updated. */ + /* The states should be updated as: */ + /* Xn2 = Xn1 */ + /* Xn1 = Xn */ + /* Yn2 = Yn1 */ + /* Yn1 = acc */ + Xn2 = Xn1; + Xn1 = Xn; + Yn2 = Yn1; + /* The result is converted to 1.63, Yn1 variable is reused */ + Yn1 = acc << shift; + + /* Calc lower part of acc */ + acc_l = acc & 0xffffffff; + + /* Calc upper part of acc */ + acc_h = (acc >> 32) & 0xffffffff; + + /* Apply shift for lower part of acc and upper part of acc */ + acc_h = (uint32_t) acc_l >> lShift | acc_h << uShift; + + /* Store the output in the destination buffer in 1.31 format. */ + *pOut++ = acc_h; + /* Yn1 = acc << shift; */ + + /* Store the output in the destination buffer in 1.31 format. */ +/* *pOut++ = (q31_t) (acc >> (32 - shift)); */ + + /* decrement the loop counter */ + sample--; + } + + /* The first stage output is given as input to the second stage. */ + pIn = pDst; + + /* Reset to destination buffer working pointer */ + pOut = pDst; + + /* Store the updated state variables back into the pState array */ + /* Store the updated state variables back into the pState array */ + *pState++ = (q63_t) Xn1; + *pState++ = (q63_t) Xn2; + *pState++ = Yn1; + *pState++ = Yn2; + + } while (--stage); + +#else + + /* Run the below code for Cortex-M0 */ + + do + { + /* Reading the coefficients */ + b0 = *pCoeffs++; + b1 = *pCoeffs++; + b2 = *pCoeffs++; + a1 = *pCoeffs++; + a2 = *pCoeffs++; + + /* Reading the state values */ + Xn1 = pState[0]; + Xn2 = pState[1]; + Yn1 = pState[2]; + Yn2 = pState[3]; + + /* The variable acc hold output value that is being computed and + * stored in the destination buffer + * acc = b0 * x[n] + b1 * x[n-1] + b2 * x[n-2] + a1 * y[n-1] + a2 * y[n-2] + */ + + sample = blockSize; + + while (sample > 0U) + { + /* Read the input */ + Xn = *pIn++; + + /* acc = b0 * x[n] + b1 * x[n-1] + b2 * x[n-2] + a1 * y[n-1] + a2 * y[n-2] */ + /* acc = b0 * x[n] */ + acc = (q63_t) Xn *b0; + /* acc += b1 * x[n-1] */ + acc += (q63_t) Xn1 *b1; + /* acc += b[2] * x[n-2] */ + acc += (q63_t) Xn2 *b2; + /* acc += a1 * y[n-1] */ + acc += mult32x64(Yn1, a1); + /* acc += a2 * y[n-2] */ + acc += mult32x64(Yn2, a2); + + /* Every time after the output is computed state should be updated. */ + /* The states should be updated as: */ + /* Xn2 = Xn1 */ + /* Xn1 = Xn */ + /* Yn2 = Yn1 */ + /* Yn1 = acc */ + Xn2 = Xn1; + Xn1 = Xn; + Yn2 = Yn1; + + /* The result is converted to 1.63, Yn1 variable is reused */ + Yn1 = acc << shift; + + /* Calc lower part of acc */ + acc_l = acc & 0xffffffff; + + /* Calc upper part of acc */ + acc_h = (acc >> 32) & 0xffffffff; + + /* Apply shift for lower part of acc and upper part of acc */ + acc_h = (uint32_t) acc_l >> lShift | acc_h << uShift; + + /* Store the output in the destination buffer in 1.31 format. */ + *pOut++ = acc_h; + + /* Yn1 = acc << shift; */ + + /* Store the output in the destination buffer in 1.31 format. */ + /* *pOut++ = (q31_t) (acc >> (32 - shift)); */ + + /* decrement the loop counter */ + sample--; + } + + /* The first stage output is given as input to the second stage. */ + pIn = pDst; + + /* Reset to destination buffer working pointer */ + pOut = pDst; + + /* Store the updated state variables back into the pState array */ + *pState++ = (q63_t) Xn1; + *pState++ = (q63_t) Xn2; + *pState++ = Yn1; + *pState++ = Yn2; + + } while (--stage); + +#endif /* #if defined (ARM_MATH_DSP) */ +} + + /** + * @} end of BiquadCascadeDF1_32x64 group + */ diff --git a/fw/hid-dials/Drivers/CMSIS/DSP/Source/FilteringFunctions/arm_biquad_cascade_df1_f32.c b/fw/hid-dials/Drivers/CMSIS/DSP/Source/FilteringFunctions/arm_biquad_cascade_df1_f32.c new file mode 100644 index 0000000..658e395 --- /dev/null +++ b/fw/hid-dials/Drivers/CMSIS/DSP/Source/FilteringFunctions/arm_biquad_cascade_df1_f32.c @@ -0,0 +1,412 @@ +/* ---------------------------------------------------------------------- + * Project: CMSIS DSP Library + * Title: arm_biquad_cascade_df1_f32.c + * Description: Processing function for the floating-point Biquad cascade DirectFormI(DF1) filter + * + * $Date: 27. January 2017 + * $Revision: V.1.5.1 + * + * Target Processor: Cortex-M cores + * -------------------------------------------------------------------- */ +/* + * Copyright (C) 2010-2017 ARM Limited or its affiliates. All rights reserved. + * + * SPDX-License-Identifier: Apache-2.0 + * + * Licensed under the Apache License, Version 2.0 (the License); you may + * not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an AS IS BASIS, WITHOUT + * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ + +#include "arm_math.h" + +/** + * @ingroup groupFilters + */ + +/** + * @defgroup BiquadCascadeDF1 Biquad Cascade IIR Filters Using Direct Form I Structure + * + * This set of functions implements arbitrary order recursive (IIR) filters. + * The filters are implemented as a cascade of second order Biquad sections. + * The functions support Q15, Q31 and floating-point data types. + * Fast version of Q15 and Q31 also supported on CortexM4 and Cortex-M3. + * + * The functions operate on blocks of input and output data and each call to the function + * processes blockSize samples through the filter. + * pSrc points to the array of input data and + * pDst points to the array of output data. + * Both arrays contain blockSize values. + * + * \par Algorithm + * Each Biquad stage implements a second order filter using the difference equation: + *
+ *     y[n] = b0 * x[n] + b1 * x[n-1] + b2 * x[n-2] + a1 * y[n-1] + a2 * y[n-2]
+ * 
+ * A Direct Form I algorithm is used with 5 coefficients and 4 state variables per stage. + * \image html Biquad.gif "Single Biquad filter stage" + * Coefficients b0, b1 and b2 multiply the input signal x[n] and are referred to as the feedforward coefficients. + * Coefficients a1 and a2 multiply the output signal y[n] and are referred to as the feedback coefficients. + * Pay careful attention to the sign of the feedback coefficients. + * Some design tools use the difference equation + *
+ *     y[n] = b0 * x[n] + b1 * x[n-1] + b2 * x[n-2] - a1 * y[n-1] - a2 * y[n-2]
+ * 
+ * In this case the feedback coefficients a1 and a2 must be negated when used with the CMSIS DSP Library. + * + * \par + * Higher order filters are realized as a cascade of second order sections. + * numStages refers to the number of second order stages used. + * For example, an 8th order filter would be realized with numStages=4 second order stages. + * \image html BiquadCascade.gif "8th order filter using a cascade of Biquad stages" + * A 9th order filter would be realized with numStages=5 second order stages with the coefficients for one of the stages configured as a first order filter (b2=0 and a2=0). + * + * \par + * The pState points to state variables array. + * Each Biquad stage has 4 state variables x[n-1], x[n-2], y[n-1], and y[n-2]. + * The state variables are arranged in the pState array as: + *
+ *     {x[n-1], x[n-2], y[n-1], y[n-2]}
+ * 
+ * + * \par + * The 4 state variables for stage 1 are first, then the 4 state variables for stage 2, and so on. + * The state array has a total length of 4*numStages values. + * The state variables are updated after each block of data is processed, the coefficients are untouched. + * + * \par Instance Structure + * The coefficients and state variables for a filter are stored together in an instance data structure. + * A separate instance structure must be defined for each filter. + * Coefficient arrays may be shared among several instances while state variable arrays cannot be shared. + * There are separate instance structure declarations for each of the 3 supported data types. + * + * \par Init Functions + * There is also an associated initialization function for each data type. + * The initialization function performs following operations: + * - Sets the values of the internal structure fields. + * - Zeros out the values in the state buffer. + * To do this manually without calling the init function, assign the follow subfields of the instance structure: + * numStages, pCoeffs, pState. Also set all of the values in pState to zero. + * + * \par + * Use of the initialization function is optional. + * However, if the initialization function is used, then the instance structure cannot be placed into a const data section. + * To place an instance structure into a const data section, the instance structure must be manually initialized. + * Set the values in the state buffer to zeros before static initialization. + * The code below statically initializes each of the 3 different data type filter instance structures + *
+ *     arm_biquad_casd_df1_inst_f32 S1 = {numStages, pState, pCoeffs};
+ *     arm_biquad_casd_df1_inst_q15 S2 = {numStages, pState, pCoeffs, postShift};
+ *     arm_biquad_casd_df1_inst_q31 S3 = {numStages, pState, pCoeffs, postShift};
+ * 
+ * where numStages is the number of Biquad stages in the filter; pState is the address of the state buffer; + * pCoeffs is the address of the coefficient buffer; postShift shift to be applied. + * + * \par Fixed-Point Behavior + * Care must be taken when using the Q15 and Q31 versions of the Biquad Cascade filter functions. + * Following issues must be considered: + * - Scaling of coefficients + * - Filter gain + * - Overflow and saturation + * + * \par + * Scaling of coefficients: + * Filter coefficients are represented as fractional values and + * coefficients are restricted to lie in the range [-1 +1). + * The fixed-point functions have an additional scaling parameter postShift + * which allow the filter coefficients to exceed the range [+1 -1). + * At the output of the filter's accumulator is a shift register which shifts the result by postShift bits. + * \image html BiquadPostshift.gif "Fixed-point Biquad with shift by postShift bits after accumulator" + * This essentially scales the filter coefficients by 2^postShift. + * For example, to realize the coefficients + *
+ *    {1.5, -0.8, 1.2, 1.6, -0.9}
+ * 
+ * set the pCoeffs array to: + *
+ *    {0.75, -0.4, 0.6, 0.8, -0.45}
+ * 
+ * and set postShift=1 + * + * \par + * Filter gain: + * The frequency response of a Biquad filter is a function of its coefficients. + * It is possible for the gain through the filter to exceed 1.0 meaning that the filter increases the amplitude of certain frequencies. + * This means that an input signal with amplitude < 1.0 may result in an output > 1.0 and these are saturated or overflowed based on the implementation of the filter. + * To avoid this behavior the filter needs to be scaled down such that its peak gain < 1.0 or the input signal must be scaled down so that the combination of input and filter are never overflowed. + * + * \par + * Overflow and saturation: + * For Q15 and Q31 versions, it is described separately as part of the function specific documentation below. + */ + +/** + * @addtogroup BiquadCascadeDF1 + * @{ + */ + +/** + * @param[in] *S points to an instance of the floating-point Biquad cascade structure. + * @param[in] *pSrc points to the block of input data. + * @param[out] *pDst points to the block of output data. + * @param[in] blockSize number of samples to process per call. + * @return none. + * + */ + +void arm_biquad_cascade_df1_f32( + const arm_biquad_casd_df1_inst_f32 * S, + float32_t * pSrc, + float32_t * pDst, + uint32_t blockSize) +{ + float32_t *pIn = pSrc; /* source pointer */ + float32_t *pOut = pDst; /* destination pointer */ + float32_t *pState = S->pState; /* pState pointer */ + float32_t *pCoeffs = S->pCoeffs; /* coefficient pointer */ + float32_t acc; /* Simulates the accumulator */ + float32_t b0, b1, b2, a1, a2; /* Filter coefficients */ + float32_t Xn1, Xn2, Yn1, Yn2; /* Filter pState variables */ + float32_t Xn; /* temporary input */ + uint32_t sample, stage = S->numStages; /* loop counters */ + + +#if defined (ARM_MATH_DSP) + + /* Run the below code for Cortex-M4 and Cortex-M3 */ + + do + { + /* Reading the coefficients */ + b0 = *pCoeffs++; + b1 = *pCoeffs++; + b2 = *pCoeffs++; + a1 = *pCoeffs++; + a2 = *pCoeffs++; + + /* Reading the pState values */ + Xn1 = pState[0]; + Xn2 = pState[1]; + Yn1 = pState[2]; + Yn2 = pState[3]; + + /* Apply loop unrolling and compute 4 output values simultaneously. */ + /* The variable acc hold output values that are being computed: + * + * acc = b0 * x[n] + b1 * x[n-1] + b2 * x[n-2] + a1 * y[n-1] + a2 * y[n-2] + * acc = b0 * x[n] + b1 * x[n-1] + b2 * x[n-2] + a1 * y[n-1] + a2 * y[n-2] + * acc = b0 * x[n] + b1 * x[n-1] + b2 * x[n-2] + a1 * y[n-1] + a2 * y[n-2] + * acc = b0 * x[n] + b1 * x[n-1] + b2 * x[n-2] + a1 * y[n-1] + a2 * y[n-2] + */ + + sample = blockSize >> 2U; + + /* First part of the processing with loop unrolling. Compute 4 outputs at a time. + ** a second loop below computes the remaining 1 to 3 samples. */ + while (sample > 0U) + { + /* Read the first input */ + Xn = *pIn++; + + /* acc = b0 * x[n] + b1 * x[n-1] + b2 * x[n-2] + a1 * y[n-1] + a2 * y[n-2] */ + Yn2 = (b0 * Xn) + (b1 * Xn1) + (b2 * Xn2) + (a1 * Yn1) + (a2 * Yn2); + + /* Store the result in the accumulator in the destination buffer. */ + *pOut++ = Yn2; + + /* Every time after the output is computed state should be updated. */ + /* The states should be updated as: */ + /* Xn2 = Xn1 */ + /* Xn1 = Xn */ + /* Yn2 = Yn1 */ + /* Yn1 = acc */ + + /* Read the second input */ + Xn2 = *pIn++; + + /* acc = b0 * x[n] + b1 * x[n-1] + b2 * x[n-2] + a1 * y[n-1] + a2 * y[n-2] */ + Yn1 = (b0 * Xn2) + (b1 * Xn) + (b2 * Xn1) + (a1 * Yn2) + (a2 * Yn1); + + /* Store the result in the accumulator in the destination buffer. */ + *pOut++ = Yn1; + + /* Every time after the output is computed state should be updated. */ + /* The states should be updated as: */ + /* Xn2 = Xn1 */ + /* Xn1 = Xn */ + /* Yn2 = Yn1 */ + /* Yn1 = acc */ + + /* Read the third input */ + Xn1 = *pIn++; + + /* acc = b0 * x[n] + b1 * x[n-1] + b2 * x[n-2] + a1 * y[n-1] + a2 * y[n-2] */ + Yn2 = (b0 * Xn1) + (b1 * Xn2) + (b2 * Xn) + (a1 * Yn1) + (a2 * Yn2); + + /* Store the result in the accumulator in the destination buffer. */ + *pOut++ = Yn2; + + /* Every time after the output is computed state should be updated. */ + /* The states should be updated as: */ + /* Xn2 = Xn1 */ + /* Xn1 = Xn */ + /* Yn2 = Yn1 */ + /* Yn1 = acc */ + + /* Read the forth input */ + Xn = *pIn++; + + /* acc = b0 * x[n] + b1 * x[n-1] + b2 * x[n-2] + a1 * y[n-1] + a2 * y[n-2] */ + Yn1 = (b0 * Xn) + (b1 * Xn1) + (b2 * Xn2) + (a1 * Yn2) + (a2 * Yn1); + + /* Store the result in the accumulator in the destination buffer. */ + *pOut++ = Yn1; + + /* Every time after the output is computed state should be updated. */ + /* The states should be updated as: */ + /* Xn2 = Xn1 */ + /* Xn1 = Xn */ + /* Yn2 = Yn1 */ + /* Yn1 = acc */ + Xn2 = Xn1; + Xn1 = Xn; + + /* decrement the loop counter */ + sample--; + + } + + /* If the blockSize is not a multiple of 4, compute any remaining output samples here. + ** No loop unrolling is used. */ + sample = blockSize & 0x3U; + + while (sample > 0U) + { + /* Read the input */ + Xn = *pIn++; + + /* acc = b0 * x[n] + b1 * x[n-1] + b2 * x[n-2] + a1 * y[n-1] + a2 * y[n-2] */ + acc = (b0 * Xn) + (b1 * Xn1) + (b2 * Xn2) + (a1 * Yn1) + (a2 * Yn2); + + /* Store the result in the accumulator in the destination buffer. */ + *pOut++ = acc; + + /* Every time after the output is computed state should be updated. */ + /* The states should be updated as: */ + /* Xn2 = Xn1 */ + /* Xn1 = Xn */ + /* Yn2 = Yn1 */ + /* Yn1 = acc */ + Xn2 = Xn1; + Xn1 = Xn; + Yn2 = Yn1; + Yn1 = acc; + + /* decrement the loop counter */ + sample--; + + } + + /* Store the updated state variables back into the pState array */ + *pState++ = Xn1; + *pState++ = Xn2; + *pState++ = Yn1; + *pState++ = Yn2; + + /* The first stage goes from the input buffer to the output buffer. */ + /* Subsequent numStages occur in-place in the output buffer */ + pIn = pDst; + + /* Reset the output pointer */ + pOut = pDst; + + /* decrement the loop counter */ + stage--; + + } while (stage > 0U); + +#else + + /* Run the below code for Cortex-M0 */ + + do + { + /* Reading the coefficients */ + b0 = *pCoeffs++; + b1 = *pCoeffs++; + b2 = *pCoeffs++; + a1 = *pCoeffs++; + a2 = *pCoeffs++; + + /* Reading the pState values */ + Xn1 = pState[0]; + Xn2 = pState[1]; + Yn1 = pState[2]; + Yn2 = pState[3]; + + /* The variables acc holds the output value that is computed: + * acc = b0 * x[n] + b1 * x[n-1] + b2 * x[n-2] + a1 * y[n-1] + a2 * y[n-2] + */ + + sample = blockSize; + + while (sample > 0U) + { + /* Read the input */ + Xn = *pIn++; + + /* acc = b0 * x[n] + b1 * x[n-1] + b2 * x[n-2] + a1 * y[n-1] + a2 * y[n-2] */ + acc = (b0 * Xn) + (b1 * Xn1) + (b2 * Xn2) + (a1 * Yn1) + (a2 * Yn2); + + /* Store the result in the accumulator in the destination buffer. */ + *pOut++ = acc; + + /* Every time after the output is computed state should be updated. */ + /* The states should be updated as: */ + /* Xn2 = Xn1 */ + /* Xn1 = Xn */ + /* Yn2 = Yn1 */ + /* Yn1 = acc */ + Xn2 = Xn1; + Xn1 = Xn; + Yn2 = Yn1; + Yn1 = acc; + + /* decrement the loop counter */ + sample--; + } + + /* Store the updated state variables back into the pState array */ + *pState++ = Xn1; + *pState++ = Xn2; + *pState++ = Yn1; + *pState++ = Yn2; + + /* The first stage goes from the input buffer to the output buffer. */ + /* Subsequent numStages occur in-place in the output buffer */ + pIn = pDst; + + /* Reset the output pointer */ + pOut = pDst; + + /* decrement the loop counter */ + stage--; + + } while (stage > 0U); + +#endif /* #if defined (ARM_MATH_DSP) */ + +} + + + /** + * @} end of BiquadCascadeDF1 group + */ diff --git a/fw/hid-dials/Drivers/CMSIS/DSP/Source/FilteringFunctions/arm_biquad_cascade_df1_fast_q15.c b/fw/hid-dials/Drivers/CMSIS/DSP/Source/FilteringFunctions/arm_biquad_cascade_df1_fast_q15.c new file mode 100644 index 0000000..2a08968 --- /dev/null +++ b/fw/hid-dials/Drivers/CMSIS/DSP/Source/FilteringFunctions/arm_biquad_cascade_df1_fast_q15.c @@ -0,0 +1,273 @@ +/* ---------------------------------------------------------------------- + * Project: CMSIS DSP Library + * Title: arm_biquad_cascade_df1_fast_q15.c + * Description: Fast processing function for the Q15 Biquad cascade filter + * + * $Date: 27. January 2017 + * $Revision: V.1.5.1 + * + * Target Processor: Cortex-M cores + * -------------------------------------------------------------------- */ +/* + * Copyright (C) 2010-2017 ARM Limited or its affiliates. All rights reserved. + * + * SPDX-License-Identifier: Apache-2.0 + * + * Licensed under the Apache License, Version 2.0 (the License); you may + * not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an AS IS BASIS, WITHOUT + * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ + +#include "arm_math.h" + +/** + * @ingroup groupFilters + */ + +/** + * @addtogroup BiquadCascadeDF1 + * @{ + */ + +/** + * @details + * @param[in] *S points to an instance of the Q15 Biquad cascade structure. + * @param[in] *pSrc points to the block of input data. + * @param[out] *pDst points to the block of output data. + * @param[in] blockSize number of samples to process per call. + * @return none. + * + * Scaling and Overflow Behavior: + * \par + * This fast version uses a 32-bit accumulator with 2.30 format. + * The accumulator maintains full precision of the intermediate multiplication results but provides only a single guard bit. + * Thus, if the accumulator result overflows it wraps around and distorts the result. + * In order to avoid overflows completely the input signal must be scaled down by two bits and lie in the range [-0.25 +0.25). + * The 2.30 accumulator is then shifted by postShift bits and the result truncated to 1.15 format by discarding the low 16 bits. + * + * \par + * Refer to the function arm_biquad_cascade_df1_q15() for a slower implementation of this function which uses 64-bit accumulation to avoid wrap around distortion. Both the slow and the fast versions use the same instance structure. + * Use the function arm_biquad_cascade_df1_init_q15() to initialize the filter structure. + * + */ + +void arm_biquad_cascade_df1_fast_q15( + const arm_biquad_casd_df1_inst_q15 * S, + q15_t * pSrc, + q15_t * pDst, + uint32_t blockSize) +{ + q15_t *pIn = pSrc; /* Source pointer */ + q15_t *pOut = pDst; /* Destination pointer */ + q31_t in; /* Temporary variable to hold input value */ + q31_t out; /* Temporary variable to hold output value */ + q31_t b0; /* Temporary variable to hold bo value */ + q31_t b1, a1; /* Filter coefficients */ + q31_t state_in, state_out; /* Filter state variables */ + q31_t acc; /* Accumulator */ + int32_t shift = (int32_t) (15 - S->postShift); /* Post shift */ + q15_t *pState = S->pState; /* State pointer */ + q15_t *pCoeffs = S->pCoeffs; /* Coefficient pointer */ + uint32_t sample, stage = S->numStages; /* Stage loop counter */ + + + + do + { + + /* Read the b0 and 0 coefficients using SIMD */ + b0 = *__SIMD32(pCoeffs)++; + + /* Read the b1 and b2 coefficients using SIMD */ + b1 = *__SIMD32(pCoeffs)++; + + /* Read the a1 and a2 coefficients using SIMD */ + a1 = *__SIMD32(pCoeffs)++; + + /* Read the input state values from the state buffer: x[n-1], x[n-2] */ + state_in = *__SIMD32(pState)++; + + /* Read the output state values from the state buffer: y[n-1], y[n-2] */ + state_out = *__SIMD32(pState)--; + + /* Apply loop unrolling and compute 2 output values simultaneously. */ + /* The variable acc hold output values that are being computed: + * + * acc = b0 * x[n] + b1 * x[n-1] + b2 * x[n-2] + a1 * y[n-1] + a2 * y[n-2] + * acc = b0 * x[n] + b1 * x[n-1] + b2 * x[n-2] + a1 * y[n-1] + a2 * y[n-2] + */ + sample = blockSize >> 1U; + + /* First part of the processing with loop unrolling. Compute 2 outputs at a time. + ** a second loop below computes the remaining 1 sample. */ + while (sample > 0U) + { + + /* Read the input */ + in = *__SIMD32(pIn)++; + + /* out = b0 * x[n] + 0 * 0 */ + out = __SMUAD(b0, in); + /* acc = b1 * x[n-1] + acc += b2 * x[n-2] + out */ + acc = __SMLAD(b1, state_in, out); + /* acc += a1 * y[n-1] + acc += a2 * y[n-2] */ + acc = __SMLAD(a1, state_out, acc); + + /* The result is converted from 3.29 to 1.31 and then saturation is applied */ + out = __SSAT((acc >> shift), 16); + + /* Every time after the output is computed state should be updated. */ + /* The states should be updated as: */ + /* Xn2 = Xn1 */ + /* Xn1 = Xn */ + /* Yn2 = Yn1 */ + /* Yn1 = acc */ + /* x[n-N], x[n-N-1] are packed together to make state_in of type q31 */ + /* y[n-N], y[n-N-1] are packed together to make state_out of type q31 */ + +#ifndef ARM_MATH_BIG_ENDIAN + + state_in = __PKHBT(in, state_in, 16); + state_out = __PKHBT(out, state_out, 16); + +#else + + state_in = __PKHBT(state_in >> 16, (in >> 16), 16); + state_out = __PKHBT(state_out >> 16, (out), 16); + +#endif /* #ifndef ARM_MATH_BIG_ENDIAN */ + + /* out = b0 * x[n] + 0 * 0 */ + out = __SMUADX(b0, in); + /* acc0 = b1 * x[n-1] , acc0 += b2 * x[n-2] + out */ + acc = __SMLAD(b1, state_in, out); + /* acc += a1 * y[n-1] + acc += a2 * y[n-2] */ + acc = __SMLAD(a1, state_out, acc); + + /* The result is converted from 3.29 to 1.31 and then saturation is applied */ + out = __SSAT((acc >> shift), 16); + + + /* Store the output in the destination buffer. */ + +#ifndef ARM_MATH_BIG_ENDIAN + + *__SIMD32(pOut)++ = __PKHBT(state_out, out, 16); + +#else + + *__SIMD32(pOut)++ = __PKHBT(out, state_out >> 16, 16); + +#endif /* #ifndef ARM_MATH_BIG_ENDIAN */ + + /* Every time after the output is computed state should be updated. */ + /* The states should be updated as: */ + /* Xn2 = Xn1 */ + /* Xn1 = Xn */ + /* Yn2 = Yn1 */ + /* Yn1 = acc */ + /* x[n-N], x[n-N-1] are packed together to make state_in of type q31 */ + /* y[n-N], y[n-N-1] are packed together to make state_out of type q31 */ + +#ifndef ARM_MATH_BIG_ENDIAN + + state_in = __PKHBT(in >> 16, state_in, 16); + state_out = __PKHBT(out, state_out, 16); + +#else + + state_in = __PKHBT(state_in >> 16, in, 16); + state_out = __PKHBT(state_out >> 16, out, 16); + +#endif /* #ifndef ARM_MATH_BIG_ENDIAN */ + + + /* Decrement the loop counter */ + sample--; + + } + + /* If the blockSize is not a multiple of 2, compute any remaining output samples here. + ** No loop unrolling is used. */ + + if ((blockSize & 0x1U) != 0U) + { + /* Read the input */ + in = *pIn++; + + /* out = b0 * x[n] + 0 * 0 */ + +#ifndef ARM_MATH_BIG_ENDIAN + + out = __SMUAD(b0, in); + +#else + + out = __SMUADX(b0, in); + +#endif /* #ifndef ARM_MATH_BIG_ENDIAN */ + + /* acc = b1 * x[n-1], acc += b2 * x[n-2] + out */ + acc = __SMLAD(b1, state_in, out); + /* acc += a1 * y[n-1] + acc += a2 * y[n-2] */ + acc = __SMLAD(a1, state_out, acc); + + /* The result is converted from 3.29 to 1.31 and then saturation is applied */ + out = __SSAT((acc >> shift), 16); + + /* Store the output in the destination buffer. */ + *pOut++ = (q15_t) out; + + /* Every time after the output is computed state should be updated. */ + /* The states should be updated as: */ + /* Xn2 = Xn1 */ + /* Xn1 = Xn */ + /* Yn2 = Yn1 */ + /* Yn1 = acc */ + /* x[n-N], x[n-N-1] are packed together to make state_in of type q31 */ + /* y[n-N], y[n-N-1] are packed together to make state_out of type q31 */ + +#ifndef ARM_MATH_BIG_ENDIAN + + state_in = __PKHBT(in, state_in, 16); + state_out = __PKHBT(out, state_out, 16); + +#else + + state_in = __PKHBT(state_in >> 16, in, 16); + state_out = __PKHBT(state_out >> 16, out, 16); + +#endif /* #ifndef ARM_MATH_BIG_ENDIAN */ + + } + + /* The first stage goes from the input buffer to the output buffer. */ + /* Subsequent (numStages - 1) occur in-place in the output buffer */ + pIn = pDst; + + /* Reset the output pointer */ + pOut = pDst; + + /* Store the updated state variables back into the state array */ + *__SIMD32(pState)++ = state_in; + *__SIMD32(pState)++ = state_out; + + + /* Decrement the loop counter */ + stage--; + + } while (stage > 0U); +} + + +/** + * @} end of BiquadCascadeDF1 group + */ diff --git a/fw/hid-dials/Drivers/CMSIS/DSP/Source/FilteringFunctions/arm_biquad_cascade_df1_fast_q31.c b/fw/hid-dials/Drivers/CMSIS/DSP/Source/FilteringFunctions/arm_biquad_cascade_df1_fast_q31.c new file mode 100644 index 0000000..5e41faa --- /dev/null +++ b/fw/hid-dials/Drivers/CMSIS/DSP/Source/FilteringFunctions/arm_biquad_cascade_df1_fast_q31.c @@ -0,0 +1,292 @@ +/* ---------------------------------------------------------------------- + * Project: CMSIS DSP Library + * Title: arm_biquad_cascade_df1_fast_q31.c + * Description: Processing function for the Q31 Fast Biquad cascade DirectFormI(DF1) filter + * + * $Date: 27. January 2017 + * $Revision: V.1.5.1 + * + * Target Processor: Cortex-M cores + * -------------------------------------------------------------------- */ +/* + * Copyright (C) 2010-2017 ARM Limited or its affiliates. All rights reserved. + * + * SPDX-License-Identifier: Apache-2.0 + * + * Licensed under the Apache License, Version 2.0 (the License); you may + * not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an AS IS BASIS, WITHOUT + * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ + +#include "arm_math.h" + +/** + * @ingroup groupFilters + */ + +/** + * @addtogroup BiquadCascadeDF1 + * @{ + */ + +/** + * @details + * + * @param[in] *S points to an instance of the Q31 Biquad cascade structure. + * @param[in] *pSrc points to the block of input data. + * @param[out] *pDst points to the block of output data. + * @param[in] blockSize number of samples to process per call. + * @return none. + * + * Scaling and Overflow Behavior: + * \par + * This function is optimized for speed at the expense of fixed-point precision and overflow protection. + * The result of each 1.31 x 1.31 multiplication is truncated to 2.30 format. + * These intermediate results are added to a 2.30 accumulator. + * Finally, the accumulator is saturated and converted to a 1.31 result. + * The fast version has the same overflow behavior as the standard version and provides less precision since it discards the low 32 bits of each multiplication result. + * In order to avoid overflows completely the input signal must be scaled down by two bits and lie in the range [-0.25 +0.25). Use the intialization function + * arm_biquad_cascade_df1_init_q31() to initialize filter structure. + * + * \par + * Refer to the function arm_biquad_cascade_df1_q31() for a slower implementation of this function which uses 64-bit accumulation to provide higher precision. Both the slow and the fast versions use the same instance structure. + * Use the function arm_biquad_cascade_df1_init_q31() to initialize the filter structure. + */ + +void arm_biquad_cascade_df1_fast_q31( + const arm_biquad_casd_df1_inst_q31 * S, + q31_t * pSrc, + q31_t * pDst, + uint32_t blockSize) +{ + q31_t acc = 0; /* accumulator */ + q31_t Xn1, Xn2, Yn1, Yn2; /* Filter state variables */ + q31_t b0, b1, b2, a1, a2; /* Filter coefficients */ + q31_t *pIn = pSrc; /* input pointer initialization */ + q31_t *pOut = pDst; /* output pointer initialization */ + q31_t *pState = S->pState; /* pState pointer initialization */ + q31_t *pCoeffs = S->pCoeffs; /* coeff pointer initialization */ + q31_t Xn; /* temporary input */ + int32_t shift = (int32_t) S->postShift + 1; /* Shift to be applied to the output */ + uint32_t sample, stage = S->numStages; /* loop counters */ + + + do + { + /* Reading the coefficients */ + b0 = *pCoeffs++; + b1 = *pCoeffs++; + b2 = *pCoeffs++; + a1 = *pCoeffs++; + a2 = *pCoeffs++; + + /* Reading the state values */ + Xn1 = pState[0]; + Xn2 = pState[1]; + Yn1 = pState[2]; + Yn2 = pState[3]; + + /* Apply loop unrolling and compute 4 output values simultaneously. */ + /* The variables acc ... acc3 hold output values that are being computed: + * + * acc = b0 * x[n] + b1 * x[n-1] + b2 * x[n-2] + a1 * y[n-1] + a2 * y[n-2] + */ + + sample = blockSize >> 2U; + + /* First part of the processing with loop unrolling. Compute 4 outputs at a time. + ** a second loop below computes the remaining 1 to 3 samples. */ + while (sample > 0U) + { + /* Read the input */ + Xn = *pIn; + + /* acc = b0 * x[n] + b1 * x[n-1] + b2 * x[n-2] + a1 * y[n-1] + a2 * y[n-2] */ + /* acc = b0 * x[n] */ + /*acc = (q31_t) (((q63_t) b1 * Xn1) >> 32);*/ + mult_32x32_keep32_R(acc, b1, Xn1); + /* acc += b1 * x[n-1] */ + /*acc = (q31_t) ((((q63_t) acc << 32) + ((q63_t) b0 * (Xn))) >> 32);*/ + multAcc_32x32_keep32_R(acc, b0, Xn); + /* acc += b[2] * x[n-2] */ + /*acc = (q31_t) ((((q63_t) acc << 32) + ((q63_t) b2 * (Xn2))) >> 32);*/ + multAcc_32x32_keep32_R(acc, b2, Xn2); + /* acc += a1 * y[n-1] */ + /*acc = (q31_t) ((((q63_t) acc << 32) + ((q63_t) a1 * (Yn1))) >> 32);*/ + multAcc_32x32_keep32_R(acc, a1, Yn1); + /* acc += a2 * y[n-2] */ + /*acc = (q31_t) ((((q63_t) acc << 32) + ((q63_t) a2 * (Yn2))) >> 32);*/ + multAcc_32x32_keep32_R(acc, a2, Yn2); + + /* The result is converted to 1.31 , Yn2 variable is reused */ + Yn2 = acc << shift; + + /* Read the second input */ + Xn2 = *(pIn + 1U); + + /* Store the output in the destination buffer. */ + *pOut = Yn2; + + /* acc = b0 * x[n] + b1 * x[n-1] + b2 * x[n-2] + a1 * y[n-1] + a2 * y[n-2] */ + /* acc = b0 * x[n] */ + /*acc = (q31_t) (((q63_t) b0 * (Xn2)) >> 32);*/ + mult_32x32_keep32_R(acc, b0, Xn2); + /* acc += b1 * x[n-1] */ + /*acc = (q31_t) ((((q63_t) acc << 32) + ((q63_t) b1 * (Xn))) >> 32);*/ + multAcc_32x32_keep32_R(acc, b1, Xn); + /* acc += b[2] * x[n-2] */ + /*acc = (q31_t) ((((q63_t) acc << 32) + ((q63_t) b2 * (Xn1))) >> 32);*/ + multAcc_32x32_keep32_R(acc, b2, Xn1); + /* acc += a1 * y[n-1] */ + /*acc = (q31_t) ((((q63_t) acc << 32) + ((q63_t) a1 * (Yn2))) >> 32);*/ + multAcc_32x32_keep32_R(acc, a1, Yn2); + /* acc += a2 * y[n-2] */ + /*acc = (q31_t) ((((q63_t) acc << 32) + ((q63_t) a2 * (Yn1))) >> 32);*/ + multAcc_32x32_keep32_R(acc, a2, Yn1); + + /* The result is converted to 1.31, Yn1 variable is reused */ + Yn1 = acc << shift; + + /* Read the third input */ + Xn1 = *(pIn + 2U); + + /* Store the output in the destination buffer. */ + *(pOut + 1U) = Yn1; + + /* acc = b0 * x[n] + b1 * x[n-1] + b2 * x[n-2] + a1 * y[n-1] + a2 * y[n-2] */ + /* acc = b0 * x[n] */ + /*acc = (q31_t) (((q63_t) b0 * (Xn1)) >> 32);*/ + mult_32x32_keep32_R(acc, b0, Xn1); + /* acc += b1 * x[n-1] */ + /*acc = (q31_t) ((((q63_t) acc << 32) + ((q63_t) b1 * (Xn2))) >> 32);*/ + multAcc_32x32_keep32_R(acc, b1, Xn2); + /* acc += b[2] * x[n-2] */ + /*acc = (q31_t) ((((q63_t) acc << 32) + ((q63_t) b2 * (Xn))) >> 32);*/ + multAcc_32x32_keep32_R(acc, b2, Xn); + /* acc += a1 * y[n-1] */ + /*acc = (q31_t) ((((q63_t) acc << 32) + ((q63_t) a1 * (Yn1))) >> 32);*/ + multAcc_32x32_keep32_R(acc, a1, Yn1); + /* acc += a2 * y[n-2] */ + /*acc = (q31_t) ((((q63_t) acc << 32) + ((q63_t) a2 * (Yn2))) >> 32);*/ + multAcc_32x32_keep32_R(acc, a2, Yn2); + + /* The result is converted to 1.31, Yn2 variable is reused */ + Yn2 = acc << shift; + + /* Read the forth input */ + Xn = *(pIn + 3U); + + /* Store the output in the destination buffer. */ + *(pOut + 2U) = Yn2; + pIn += 4U; + + /* acc = b0 * x[n] + b1 * x[n-1] + b2 * x[n-2] + a1 * y[n-1] + a2 * y[n-2] */ + /* acc = b0 * x[n] */ + /*acc = (q31_t) (((q63_t) b0 * (Xn)) >> 32);*/ + mult_32x32_keep32_R(acc, b0, Xn); + /* acc += b1 * x[n-1] */ + /*acc = (q31_t) ((((q63_t) acc << 32) + ((q63_t) b1 * (Xn1))) >> 32);*/ + multAcc_32x32_keep32_R(acc, b1, Xn1); + /* acc += b[2] * x[n-2] */ + /*acc = (q31_t) ((((q63_t) acc << 32) + ((q63_t) b2 * (Xn2))) >> 32);*/ + multAcc_32x32_keep32_R(acc, b2, Xn2); + /* acc += a1 * y[n-1] */ + /*acc = (q31_t) ((((q63_t) acc << 32) + ((q63_t) a1 * (Yn2))) >> 32);*/ + multAcc_32x32_keep32_R(acc, a1, Yn2); + /* acc += a2 * y[n-2] */ + /*acc = (q31_t) ((((q63_t) acc << 32) + ((q63_t) a2 * (Yn1))) >> 32);*/ + multAcc_32x32_keep32_R(acc, a2, Yn1); + + /* Every time after the output is computed state should be updated. */ + /* The states should be updated as: */ + /* Xn2 = Xn1 */ + Xn2 = Xn1; + + /* The result is converted to 1.31, Yn1 variable is reused */ + Yn1 = acc << shift; + + /* Xn1 = Xn */ + Xn1 = Xn; + + /* Store the output in the destination buffer. */ + *(pOut + 3U) = Yn1; + pOut += 4U; + + /* decrement the loop counter */ + sample--; + } + + /* If the blockSize is not a multiple of 4, compute any remaining output samples here. + ** No loop unrolling is used. */ + sample = (blockSize & 0x3U); + + while (sample > 0U) + { + /* Read the input */ + Xn = *pIn++; + + /* acc = b0 * x[n] + b1 * x[n-1] + b2 * x[n-2] + a1 * y[n-1] + a2 * y[n-2] */ + /* acc = b0 * x[n] */ + /*acc = (q31_t) (((q63_t) b0 * (Xn)) >> 32);*/ + mult_32x32_keep32_R(acc, b0, Xn); + /* acc += b1 * x[n-1] */ + /*acc = (q31_t) ((((q63_t) acc << 32) + ((q63_t) b1 * (Xn1))) >> 32);*/ + multAcc_32x32_keep32_R(acc, b1, Xn1); + /* acc += b[2] * x[n-2] */ + /*acc = (q31_t) ((((q63_t) acc << 32) + ((q63_t) b2 * (Xn2))) >> 32);*/ + multAcc_32x32_keep32_R(acc, b2, Xn2); + /* acc += a1 * y[n-1] */ + /*acc = (q31_t) ((((q63_t) acc << 32) + ((q63_t) a1 * (Yn1))) >> 32);*/ + multAcc_32x32_keep32_R(acc, a1, Yn1); + /* acc += a2 * y[n-2] */ + /*acc = (q31_t) ((((q63_t) acc << 32) + ((q63_t) a2 * (Yn2))) >> 32);*/ + multAcc_32x32_keep32_R(acc, a2, Yn2); + + /* The result is converted to 1.31 */ + acc = acc << shift; + + /* Every time after the output is computed state should be updated. */ + /* The states should be updated as: */ + /* Xn2 = Xn1 */ + /* Xn1 = Xn */ + /* Yn2 = Yn1 */ + /* Yn1 = acc */ + Xn2 = Xn1; + Xn1 = Xn; + Yn2 = Yn1; + Yn1 = acc; + + /* Store the output in the destination buffer. */ + *pOut++ = acc; + + /* decrement the loop counter */ + sample--; + } + + /* The first stage goes from the input buffer to the output buffer. */ + /* Subsequent stages occur in-place in the output buffer */ + pIn = pDst; + + /* Reset to destination pointer */ + pOut = pDst; + + /* Store the updated state variables back into the pState array */ + *pState++ = Xn1; + *pState++ = Xn2; + *pState++ = Yn1; + *pState++ = Yn2; + + } while (--stage); +} + +/** + * @} end of BiquadCascadeDF1 group + */ diff --git a/fw/hid-dials/Drivers/CMSIS/DSP/Source/FilteringFunctions/arm_biquad_cascade_df1_init_f32.c b/fw/hid-dials/Drivers/CMSIS/DSP/Source/FilteringFunctions/arm_biquad_cascade_df1_init_f32.c new file mode 100644 index 0000000..147c8c5 --- /dev/null +++ b/fw/hid-dials/Drivers/CMSIS/DSP/Source/FilteringFunctions/arm_biquad_cascade_df1_init_f32.c @@ -0,0 +1,97 @@ +/* ---------------------------------------------------------------------- + * Project: CMSIS DSP Library + * Title: arm_biquad_cascade_df1_init_f32.c + * Description: Floating-point Biquad cascade DirectFormI(DF1) filter initialization function + * + * $Date: 27. January 2017 + * $Revision: V.1.5.1 + * + * Target Processor: Cortex-M cores + * -------------------------------------------------------------------- */ +/* + * Copyright (C) 2010-2017 ARM Limited or its affiliates. All rights reserved. + * + * SPDX-License-Identifier: Apache-2.0 + * + * Licensed under the Apache License, Version 2.0 (the License); you may + * not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an AS IS BASIS, WITHOUT + * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ + +#include "arm_math.h" + +/** + * @ingroup groupFilters + */ + +/** + * @addtogroup BiquadCascadeDF1 + * @{ + */ + +/** + * @details + * @brief Initialization function for the floating-point Biquad cascade filter. + * @param[in,out] *S points to an instance of the floating-point Biquad cascade structure. + * @param[in] numStages number of 2nd order stages in the filter. + * @param[in] *pCoeffs points to the filter coefficients array. + * @param[in] *pState points to the state array. + * @return none + * + * + * Coefficient and State Ordering: + * + * \par + * The coefficients are stored in the array pCoeffs in the following order: + *
+ *     {b10, b11, b12, a11, a12, b20, b21, b22, a21, a22, ...}
+ * 
+ * + * \par + * where b1x and a1x are the coefficients for the first stage, + * b2x and a2x are the coefficients for the second stage, + * and so on. The pCoeffs array contains a total of 5*numStages values. + * + * \par + * The pState is a pointer to state array. + * Each Biquad stage has 4 state variables x[n-1], x[n-2], y[n-1], and y[n-2]. + * The state variables are arranged in the pState array as: + *
+ *     {x[n-1], x[n-2], y[n-1], y[n-2]}
+ * 
+ * The 4 state variables for stage 1 are first, then the 4 state variables for stage 2, and so on. + * The state array has a total length of 4*numStages values. + * The state variables are updated after each block of data is processed; the coefficients are untouched. + * + */ + +void arm_biquad_cascade_df1_init_f32( + arm_biquad_casd_df1_inst_f32 * S, + uint8_t numStages, + float32_t * pCoeffs, + float32_t * pState) +{ + /* Assign filter stages */ + S->numStages = numStages; + + /* Assign coefficient pointer */ + S->pCoeffs = pCoeffs; + + /* Clear state buffer and size is always 4 * numStages */ + memset(pState, 0, (4U * (uint32_t) numStages) * sizeof(float32_t)); + + /* Assign state pointer */ + S->pState = pState; +} + +/** + * @} end of BiquadCascadeDF1 group + */ diff --git a/fw/hid-dials/Drivers/CMSIS/DSP/Source/FilteringFunctions/arm_biquad_cascade_df1_init_q15.c b/fw/hid-dials/Drivers/CMSIS/DSP/Source/FilteringFunctions/arm_biquad_cascade_df1_init_q15.c new file mode 100644 index 0000000..dd46fb4 --- /dev/null +++ b/fw/hid-dials/Drivers/CMSIS/DSP/Source/FilteringFunctions/arm_biquad_cascade_df1_init_q15.c @@ -0,0 +1,99 @@ +/* ---------------------------------------------------------------------- + * Project: CMSIS DSP Library + * Title: arm_biquad_cascade_df1_init_q15.c + * Description: Q15 Biquad cascade DirectFormI(DF1) filter initialization function + * + * $Date: 27. January 2017 + * $Revision: V.1.5.1 + * + * Target Processor: Cortex-M cores + * -------------------------------------------------------------------- */ +/* + * Copyright (C) 2010-2017 ARM Limited or its affiliates. All rights reserved. + * + * SPDX-License-Identifier: Apache-2.0 + * + * Licensed under the Apache License, Version 2.0 (the License); you may + * not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an AS IS BASIS, WITHOUT + * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ + +#include "arm_math.h" + +/** + * @ingroup groupFilters + */ + +/** + * @addtogroup BiquadCascadeDF1 + * @{ + */ + +/** + * @details + * + * @param[in,out] *S points to an instance of the Q15 Biquad cascade structure. + * @param[in] numStages number of 2nd order stages in the filter. + * @param[in] *pCoeffs points to the filter coefficients. + * @param[in] *pState points to the state buffer. + * @param[in] postShift Shift to be applied to the accumulator result. Varies according to the coefficients format + * @return none + * + * Coefficient and State Ordering: + * + * \par + * The coefficients are stored in the array pCoeffs in the following order: + *
+ *     {b10, 0, b11, b12, a11, a12, b20, 0, b21, b22, a21, a22, ...}
+ * 
+ * where b1x and a1x are the coefficients for the first stage, + * b2x and a2x are the coefficients for the second stage, + * and so on. The pCoeffs array contains a total of 6*numStages values. + * The zero coefficient between b1 and b2 facilities use of 16-bit SIMD instructions on the Cortex-M4. + * + * \par + * The state variables are stored in the array pState. + * Each Biquad stage has 4 state variables x[n-1], x[n-2], y[n-1], and y[n-2]. + * The state variables are arranged in the pState array as: + *
+ *     {x[n-1], x[n-2], y[n-1], y[n-2]}
+ * 
+ * The 4 state variables for stage 1 are first, then the 4 state variables for stage 2, and so on. + * The state array has a total length of 4*numStages values. + * The state variables are updated after each block of data is processed; the coefficients are untouched. + */ + +void arm_biquad_cascade_df1_init_q15( + arm_biquad_casd_df1_inst_q15 * S, + uint8_t numStages, + q15_t * pCoeffs, + q15_t * pState, + int8_t postShift) +{ + /* Assign filter stages */ + S->numStages = numStages; + + /* Assign postShift to be applied to the output */ + S->postShift = postShift; + + /* Assign coefficient pointer */ + S->pCoeffs = pCoeffs; + + /* Clear state buffer and size is always 4 * numStages */ + memset(pState, 0, (4U * (uint32_t) numStages) * sizeof(q15_t)); + + /* Assign state pointer */ + S->pState = pState; +} + +/** + * @} end of BiquadCascadeDF1 group + */ diff --git a/fw/hid-dials/Drivers/CMSIS/DSP/Source/FilteringFunctions/arm_biquad_cascade_df1_init_q31.c b/fw/hid-dials/Drivers/CMSIS/DSP/Source/FilteringFunctions/arm_biquad_cascade_df1_init_q31.c new file mode 100644 index 0000000..10fb6bc --- /dev/null +++ b/fw/hid-dials/Drivers/CMSIS/DSP/Source/FilteringFunctions/arm_biquad_cascade_df1_init_q31.c @@ -0,0 +1,98 @@ +/* ---------------------------------------------------------------------- + * Project: CMSIS DSP Library + * Title: arm_biquad_cascade_df1_init_q31.c + * Description: Q31 Biquad cascade DirectFormI(DF1) filter initialization function + * + * $Date: 27. January 2017 + * $Revision: V.1.5.1 + * + * Target Processor: Cortex-M cores + * -------------------------------------------------------------------- */ +/* + * Copyright (C) 2010-2017 ARM Limited or its affiliates. All rights reserved. + * + * SPDX-License-Identifier: Apache-2.0 + * + * Licensed under the Apache License, Version 2.0 (the License); you may + * not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an AS IS BASIS, WITHOUT + * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ + +#include "arm_math.h" + +/** + * @ingroup groupFilters + */ + +/** + * @addtogroup BiquadCascadeDF1 + * @{ + */ + +/** + * @details + * + * @param[in,out] *S points to an instance of the Q31 Biquad cascade structure. + * @param[in] numStages number of 2nd order stages in the filter. + * @param[in] *pCoeffs points to the filter coefficients buffer. + * @param[in] *pState points to the state buffer. + * @param[in] postShift Shift to be applied after the accumulator. Varies according to the coefficients format + * @return none + * + * Coefficient and State Ordering: + * + * \par + * The coefficients are stored in the array pCoeffs in the following order: + *
+ *     {b10, b11, b12, a11, a12, b20, b21, b22, a21, a22, ...}
+ * 
+ * where b1x and a1x are the coefficients for the first stage, + * b2x and a2x are the coefficients for the second stage, + * and so on. The pCoeffs array contains a total of 5*numStages values. + * + * \par + * The pState points to state variables array. + * Each Biquad stage has 4 state variables x[n-1], x[n-2], y[n-1], and y[n-2]. + * The state variables are arranged in the pState array as: + *
+ *     {x[n-1], x[n-2], y[n-1], y[n-2]}
+ * 
+ * The 4 state variables for stage 1 are first, then the 4 state variables for stage 2, and so on. + * The state array has a total length of 4*numStages values. + * The state variables are updated after each block of data is processed; the coefficients are untouched. + */ + +void arm_biquad_cascade_df1_init_q31( + arm_biquad_casd_df1_inst_q31 * S, + uint8_t numStages, + q31_t * pCoeffs, + q31_t * pState, + int8_t postShift) +{ + /* Assign filter stages */ + S->numStages = numStages; + + /* Assign postShift to be applied to the output */ + S->postShift = postShift; + + /* Assign coefficient pointer */ + S->pCoeffs = pCoeffs; + + /* Clear state buffer and size is always 4 * numStages */ + memset(pState, 0, (4U * (uint32_t) numStages) * sizeof(q31_t)); + + /* Assign state pointer */ + S->pState = pState; +} + +/** + * @} end of BiquadCascadeDF1 group + */ diff --git a/fw/hid-dials/Drivers/CMSIS/DSP/Source/FilteringFunctions/arm_biquad_cascade_df1_q15.c b/fw/hid-dials/Drivers/CMSIS/DSP/Source/FilteringFunctions/arm_biquad_cascade_df1_q15.c new file mode 100644 index 0000000..c524756 --- /dev/null +++ b/fw/hid-dials/Drivers/CMSIS/DSP/Source/FilteringFunctions/arm_biquad_cascade_df1_q15.c @@ -0,0 +1,398 @@ +/* ---------------------------------------------------------------------- + * Project: CMSIS DSP Library + * Title: arm_biquad_cascade_df1_q15.c + * Description: Processing function for the Q15 Biquad cascade DirectFormI(DF1) filter + * + * $Date: 27. January 2017 + * $Revision: V.1.5.1 + * + * Target Processor: Cortex-M cores + * -------------------------------------------------------------------- */ +/* + * Copyright (C) 2010-2017 ARM Limited or its affiliates. All rights reserved. + * + * SPDX-License-Identifier: Apache-2.0 + * + * Licensed under the Apache License, Version 2.0 (the License); you may + * not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an AS IS BASIS, WITHOUT + * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ + +#include "arm_math.h" + +/** + * @ingroup groupFilters + */ + +/** + * @addtogroup BiquadCascadeDF1 + * @{ + */ + +/** + * @brief Processing function for the Q15 Biquad cascade filter. + * @param[in] *S points to an instance of the Q15 Biquad cascade structure. + * @param[in] *pSrc points to the block of input data. + * @param[out] *pDst points to the location where the output result is written. + * @param[in] blockSize number of samples to process per call. + * @return none. + * + * + * Scaling and Overflow Behavior: + * \par + * The function is implemented using a 64-bit internal accumulator. + * Both coefficients and state variables are represented in 1.15 format and multiplications yield a 2.30 result. + * The 2.30 intermediate results are accumulated in a 64-bit accumulator in 34.30 format. + * There is no risk of internal overflow with this approach and the full precision of intermediate multiplications is preserved. + * The accumulator is then shifted by postShift bits to truncate the result to 1.15 format by discarding the low 16 bits. + * Finally, the result is saturated to 1.15 format. + * + * \par + * Refer to the function arm_biquad_cascade_df1_fast_q15() for a faster but less precise implementation of this filter for Cortex-M3 and Cortex-M4. + */ + +void arm_biquad_cascade_df1_q15( + const arm_biquad_casd_df1_inst_q15 * S, + q15_t * pSrc, + q15_t * pDst, + uint32_t blockSize) +{ + + +#if defined (ARM_MATH_DSP) + + /* Run the below code for Cortex-M4 and Cortex-M3 */ + + q15_t *pIn = pSrc; /* Source pointer */ + q15_t *pOut = pDst; /* Destination pointer */ + q31_t in; /* Temporary variable to hold input value */ + q31_t out; /* Temporary variable to hold output value */ + q31_t b0; /* Temporary variable to hold bo value */ + q31_t b1, a1; /* Filter coefficients */ + q31_t state_in, state_out; /* Filter state variables */ + q31_t acc_l, acc_h; + q63_t acc; /* Accumulator */ + int32_t lShift = (15 - (int32_t) S->postShift); /* Post shift */ + q15_t *pState = S->pState; /* State pointer */ + q15_t *pCoeffs = S->pCoeffs; /* Coefficient pointer */ + uint32_t sample, stage = (uint32_t) S->numStages; /* Stage loop counter */ + int32_t uShift = (32 - lShift); + + do + { + /* Read the b0 and 0 coefficients using SIMD */ + b0 = *__SIMD32(pCoeffs)++; + + /* Read the b1 and b2 coefficients using SIMD */ + b1 = *__SIMD32(pCoeffs)++; + + /* Read the a1 and a2 coefficients using SIMD */ + a1 = *__SIMD32(pCoeffs)++; + + /* Read the input state values from the state buffer: x[n-1], x[n-2] */ + state_in = *__SIMD32(pState)++; + + /* Read the output state values from the state buffer: y[n-1], y[n-2] */ + state_out = *__SIMD32(pState)--; + + /* Apply loop unrolling and compute 2 output values simultaneously. */ + /* The variable acc hold output values that are being computed: + * + * acc = b0 * x[n] + b1 * x[n-1] + b2 * x[n-2] + a1 * y[n-1] + a2 * y[n-2] + * acc = b0 * x[n] + b1 * x[n-1] + b2 * x[n-2] + a1 * y[n-1] + a2 * y[n-2] + */ + sample = blockSize >> 1U; + + /* First part of the processing with loop unrolling. Compute 2 outputs at a time. + ** a second loop below computes the remaining 1 sample. */ + while (sample > 0U) + { + + /* Read the input */ + in = *__SIMD32(pIn)++; + + /* out = b0 * x[n] + 0 * 0 */ + out = __SMUAD(b0, in); + + /* acc += b1 * x[n-1] + b2 * x[n-2] + out */ + acc = __SMLALD(b1, state_in, out); + /* acc += a1 * y[n-1] + a2 * y[n-2] */ + acc = __SMLALD(a1, state_out, acc); + + /* The result is converted from 3.29 to 1.31 if postShift = 1, and then saturation is applied */ + /* Calc lower part of acc */ + acc_l = acc & 0xffffffff; + + /* Calc upper part of acc */ + acc_h = (acc >> 32) & 0xffffffff; + + /* Apply shift for lower part of acc and upper part of acc */ + out = (uint32_t) acc_l >> lShift | acc_h << uShift; + + out = __SSAT(out, 16); + + /* Every time after the output is computed state should be updated. */ + /* The states should be updated as: */ + /* Xn2 = Xn1 */ + /* Xn1 = Xn */ + /* Yn2 = Yn1 */ + /* Yn1 = acc */ + /* x[n-N], x[n-N-1] are packed together to make state_in of type q31 */ + /* y[n-N], y[n-N-1] are packed together to make state_out of type q31 */ + +#ifndef ARM_MATH_BIG_ENDIAN + + state_in = __PKHBT(in, state_in, 16); + state_out = __PKHBT(out, state_out, 16); + +#else + + state_in = __PKHBT(state_in >> 16, (in >> 16), 16); + state_out = __PKHBT(state_out >> 16, (out), 16); + +#endif /* #ifndef ARM_MATH_BIG_ENDIAN */ + + /* out = b0 * x[n] + 0 * 0 */ + out = __SMUADX(b0, in); + /* acc += b1 * x[n-1] + b2 * x[n-2] + out */ + acc = __SMLALD(b1, state_in, out); + /* acc += a1 * y[n-1] + a2 * y[n-2] */ + acc = __SMLALD(a1, state_out, acc); + + /* The result is converted from 3.29 to 1.31 if postShift = 1, and then saturation is applied */ + /* Calc lower part of acc */ + acc_l = acc & 0xffffffff; + + /* Calc upper part of acc */ + acc_h = (acc >> 32) & 0xffffffff; + + /* Apply shift for lower part of acc and upper part of acc */ + out = (uint32_t) acc_l >> lShift | acc_h << uShift; + + out = __SSAT(out, 16); + + /* Store the output in the destination buffer. */ + +#ifndef ARM_MATH_BIG_ENDIAN + + *__SIMD32(pOut)++ = __PKHBT(state_out, out, 16); + +#else + + *__SIMD32(pOut)++ = __PKHBT(out, state_out >> 16, 16); + +#endif /* #ifndef ARM_MATH_BIG_ENDIAN */ + + /* Every time after the output is computed state should be updated. */ + /* The states should be updated as: */ + /* Xn2 = Xn1 */ + /* Xn1 = Xn */ + /* Yn2 = Yn1 */ + /* Yn1 = acc */ + /* x[n-N], x[n-N-1] are packed together to make state_in of type q31 */ + /* y[n-N], y[n-N-1] are packed together to make state_out of type q31 */ +#ifndef ARM_MATH_BIG_ENDIAN + + state_in = __PKHBT(in >> 16, state_in, 16); + state_out = __PKHBT(out, state_out, 16); + +#else + + state_in = __PKHBT(state_in >> 16, in, 16); + state_out = __PKHBT(state_out >> 16, out, 16); + +#endif /* #ifndef ARM_MATH_BIG_ENDIAN */ + + + /* Decrement the loop counter */ + sample--; + + } + + /* If the blockSize is not a multiple of 2, compute any remaining output samples here. + ** No loop unrolling is used. */ + + if ((blockSize & 0x1U) != 0U) + { + /* Read the input */ + in = *pIn++; + + /* out = b0 * x[n] + 0 * 0 */ + +#ifndef ARM_MATH_BIG_ENDIAN + + out = __SMUAD(b0, in); + +#else + + out = __SMUADX(b0, in); + +#endif /* #ifndef ARM_MATH_BIG_ENDIAN */ + + /* acc = b1 * x[n-1] + b2 * x[n-2] + out */ + acc = __SMLALD(b1, state_in, out); + /* acc += a1 * y[n-1] + a2 * y[n-2] */ + acc = __SMLALD(a1, state_out, acc); + + /* The result is converted from 3.29 to 1.31 if postShift = 1, and then saturation is applied */ + /* Calc lower part of acc */ + acc_l = acc & 0xffffffff; + + /* Calc upper part of acc */ + acc_h = (acc >> 32) & 0xffffffff; + + /* Apply shift for lower part of acc and upper part of acc */ + out = (uint32_t) acc_l >> lShift | acc_h << uShift; + + out = __SSAT(out, 16); + + /* Store the output in the destination buffer. */ + *pOut++ = (q15_t) out; + + /* Every time after the output is computed state should be updated. */ + /* The states should be updated as: */ + /* Xn2 = Xn1 */ + /* Xn1 = Xn */ + /* Yn2 = Yn1 */ + /* Yn1 = acc */ + /* x[n-N], x[n-N-1] are packed together to make state_in of type q31 */ + /* y[n-N], y[n-N-1] are packed together to make state_out of type q31 */ + +#ifndef ARM_MATH_BIG_ENDIAN + + state_in = __PKHBT(in, state_in, 16); + state_out = __PKHBT(out, state_out, 16); + +#else + + state_in = __PKHBT(state_in >> 16, in, 16); + state_out = __PKHBT(state_out >> 16, out, 16); + +#endif /* #ifndef ARM_MATH_BIG_ENDIAN */ + + } + + /* The first stage goes from the input wire to the output wire. */ + /* Subsequent numStages occur in-place in the output wire */ + pIn = pDst; + + /* Reset the output pointer */ + pOut = pDst; + + /* Store the updated state variables back into the state array */ + *__SIMD32(pState)++ = state_in; + *__SIMD32(pState)++ = state_out; + + + /* Decrement the loop counter */ + stage--; + + } while (stage > 0U); + +#else + + /* Run the below code for Cortex-M0 */ + + q15_t *pIn = pSrc; /* Source pointer */ + q15_t *pOut = pDst; /* Destination pointer */ + q15_t b0, b1, b2, a1, a2; /* Filter coefficients */ + q15_t Xn1, Xn2, Yn1, Yn2; /* Filter state variables */ + q15_t Xn; /* temporary input */ + q63_t acc; /* Accumulator */ + int32_t shift = (15 - (int32_t) S->postShift); /* Post shift */ + q15_t *pState = S->pState; /* State pointer */ + q15_t *pCoeffs = S->pCoeffs; /* Coefficient pointer */ + uint32_t sample, stage = (uint32_t) S->numStages; /* Stage loop counter */ + + do + { + /* Reading the coefficients */ + b0 = *pCoeffs++; + pCoeffs++; // skip the 0 coefficient + b1 = *pCoeffs++; + b2 = *pCoeffs++; + a1 = *pCoeffs++; + a2 = *pCoeffs++; + + /* Reading the state values */ + Xn1 = pState[0]; + Xn2 = pState[1]; + Yn1 = pState[2]; + Yn2 = pState[3]; + + /* The variables acc holds the output value that is computed: + * acc = b0 * x[n] + b1 * x[n-1] + b2 * x[n-2] + a1 * y[n-1] + a2 * y[n-2] + */ + + sample = blockSize; + + while (sample > 0U) + { + /* Read the input */ + Xn = *pIn++; + + /* acc = b0 * x[n] + b1 * x[n-1] + b2 * x[n-2] + a1 * y[n-1] + a2 * y[n-2] */ + /* acc = b0 * x[n] */ + acc = (q31_t) b0 *Xn; + + /* acc += b1 * x[n-1] */ + acc += (q31_t) b1 *Xn1; + /* acc += b[2] * x[n-2] */ + acc += (q31_t) b2 *Xn2; + /* acc += a1 * y[n-1] */ + acc += (q31_t) a1 *Yn1; + /* acc += a2 * y[n-2] */ + acc += (q31_t) a2 *Yn2; + + /* The result is converted to 1.31 */ + acc = __SSAT((acc >> shift), 16); + + /* Every time after the output is computed state should be updated. */ + /* The states should be updated as: */ + /* Xn2 = Xn1 */ + /* Xn1 = Xn */ + /* Yn2 = Yn1 */ + /* Yn1 = acc */ + Xn2 = Xn1; + Xn1 = Xn; + Yn2 = Yn1; + Yn1 = (q15_t) acc; + + /* Store the output in the destination buffer. */ + *pOut++ = (q15_t) acc; + + /* decrement the loop counter */ + sample--; + } + + /* The first stage goes from the input buffer to the output buffer. */ + /* Subsequent stages occur in-place in the output buffer */ + pIn = pDst; + + /* Reset to destination pointer */ + pOut = pDst; + + /* Store the updated state variables back into the pState array */ + *pState++ = Xn1; + *pState++ = Xn2; + *pState++ = Yn1; + *pState++ = Yn2; + + } while (--stage); + +#endif /* #if defined (ARM_MATH_DSP) */ + +} + + +/** + * @} end of BiquadCascadeDF1 group + */ diff --git a/fw/hid-dials/Drivers/CMSIS/DSP/Source/FilteringFunctions/arm_biquad_cascade_df1_q31.c b/fw/hid-dials/Drivers/CMSIS/DSP/Source/FilteringFunctions/arm_biquad_cascade_df1_q31.c new file mode 100644 index 0000000..da367ec --- /dev/null +++ b/fw/hid-dials/Drivers/CMSIS/DSP/Source/FilteringFunctions/arm_biquad_cascade_df1_q31.c @@ -0,0 +1,392 @@ +/* ---------------------------------------------------------------------- + * Project: CMSIS DSP Library + * Title: arm_biquad_cascade_df1_q31.c + * Description: Processing function for the Q31 Biquad cascade filter + * + * $Date: 27. January 2017 + * $Revision: V.1.5.1 + * + * Target Processor: Cortex-M cores + * -------------------------------------------------------------------- */ +/* + * Copyright (C) 2010-2017 ARM Limited or its affiliates. All rights reserved. + * + * SPDX-License-Identifier: Apache-2.0 + * + * Licensed under the Apache License, Version 2.0 (the License); you may + * not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an AS IS BASIS, WITHOUT + * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ + +#include "arm_math.h" + +/** + * @ingroup groupFilters + */ + +/** + * @addtogroup BiquadCascadeDF1 + * @{ + */ + +/** + * @brief Processing function for the Q31 Biquad cascade filter. + * @param[in] *S points to an instance of the Q31 Biquad cascade structure. + * @param[in] *pSrc points to the block of input data. + * @param[out] *pDst points to the block of output data. + * @param[in] blockSize number of samples to process per call. + * @return none. + * + * Scaling and Overflow Behavior: + * \par + * The function is implemented using an internal 64-bit accumulator. + * The accumulator has a 2.62 format and maintains full precision of the intermediate multiplication results but provides only a single guard bit. + * Thus, if the accumulator result overflows it wraps around rather than clip. + * In order to avoid overflows completely the input signal must be scaled down by 2 bits and lie in the range [-0.25 +0.25). + * After all 5 multiply-accumulates are performed, the 2.62 accumulator is shifted by postShift bits and the result truncated to + * 1.31 format by discarding the low 32 bits. + * + * \par + * Refer to the function arm_biquad_cascade_df1_fast_q31() for a faster but less precise implementation of this filter for Cortex-M3 and Cortex-M4. + */ + +void arm_biquad_cascade_df1_q31( + const arm_biquad_casd_df1_inst_q31 * S, + q31_t * pSrc, + q31_t * pDst, + uint32_t blockSize) +{ + q63_t acc; /* accumulator */ + uint32_t uShift = ((uint32_t) S->postShift + 1U); + uint32_t lShift = 32U - uShift; /* Shift to be applied to the output */ + q31_t *pIn = pSrc; /* input pointer initialization */ + q31_t *pOut = pDst; /* output pointer initialization */ + q31_t *pState = S->pState; /* pState pointer initialization */ + q31_t *pCoeffs = S->pCoeffs; /* coeff pointer initialization */ + q31_t Xn1, Xn2, Yn1, Yn2; /* Filter state variables */ + q31_t b0, b1, b2, a1, a2; /* Filter coefficients */ + q31_t Xn; /* temporary input */ + uint32_t sample, stage = S->numStages; /* loop counters */ + + +#if defined (ARM_MATH_DSP) + + q31_t acc_l, acc_h; /* temporary output variables */ + + /* Run the below code for Cortex-M4 and Cortex-M3 */ + + do + { + /* Reading the coefficients */ + b0 = *pCoeffs++; + b1 = *pCoeffs++; + b2 = *pCoeffs++; + a1 = *pCoeffs++; + a2 = *pCoeffs++; + + /* Reading the state values */ + Xn1 = pState[0]; + Xn2 = pState[1]; + Yn1 = pState[2]; + Yn2 = pState[3]; + + /* Apply loop unrolling and compute 4 output values simultaneously. */ + /* The variable acc hold output values that are being computed: + * + * acc = b0 * x[n] + b1 * x[n-1] + b2 * x[n-2] + a1 * y[n-1] + a2 * y[n-2] + */ + + sample = blockSize >> 2U; + + /* First part of the processing with loop unrolling. Compute 4 outputs at a time. + ** a second loop below computes the remaining 1 to 3 samples. */ + while (sample > 0U) + { + /* Read the input */ + Xn = *pIn++; + + /* acc = b0 * x[n] + b1 * x[n-1] + b2 * x[n-2] + a1 * y[n-1] + a2 * y[n-2] */ + + /* acc = b0 * x[n] */ + acc = (q63_t) b0 *Xn; + /* acc += b1 * x[n-1] */ + acc += (q63_t) b1 *Xn1; + /* acc += b[2] * x[n-2] */ + acc += (q63_t) b2 *Xn2; + /* acc += a1 * y[n-1] */ + acc += (q63_t) a1 *Yn1; + /* acc += a2 * y[n-2] */ + acc += (q63_t) a2 *Yn2; + + /* The result is converted to 1.31 , Yn2 variable is reused */ + + /* Calc lower part of acc */ + acc_l = acc & 0xffffffff; + + /* Calc upper part of acc */ + acc_h = (acc >> 32) & 0xffffffff; + + /* Apply shift for lower part of acc and upper part of acc */ + Yn2 = (uint32_t) acc_l >> lShift | acc_h << uShift; + + /* Store the output in the destination buffer. */ + *pOut++ = Yn2; + + /* Read the second input */ + Xn2 = *pIn++; + + /* acc = b0 * x[n] + b1 * x[n-1] + b2 * x[n-2] + a1 * y[n-1] + a2 * y[n-2] */ + + /* acc = b0 * x[n] */ + acc = (q63_t) b0 *Xn2; + /* acc += b1 * x[n-1] */ + acc += (q63_t) b1 *Xn; + /* acc += b[2] * x[n-2] */ + acc += (q63_t) b2 *Xn1; + /* acc += a1 * y[n-1] */ + acc += (q63_t) a1 *Yn2; + /* acc += a2 * y[n-2] */ + acc += (q63_t) a2 *Yn1; + + + /* The result is converted to 1.31, Yn1 variable is reused */ + + /* Calc lower part of acc */ + acc_l = acc & 0xffffffff; + + /* Calc upper part of acc */ + acc_h = (acc >> 32) & 0xffffffff; + + + /* Apply shift for lower part of acc and upper part of acc */ + Yn1 = (uint32_t) acc_l >> lShift | acc_h << uShift; + + /* Store the output in the destination buffer. */ + *pOut++ = Yn1; + + /* Read the third input */ + Xn1 = *pIn++; + + /* acc = b0 * x[n] + b1 * x[n-1] + b2 * x[n-2] + a1 * y[n-1] + a2 * y[n-2] */ + + /* acc = b0 * x[n] */ + acc = (q63_t) b0 *Xn1; + /* acc += b1 * x[n-1] */ + acc += (q63_t) b1 *Xn2; + /* acc += b[2] * x[n-2] */ + acc += (q63_t) b2 *Xn; + /* acc += a1 * y[n-1] */ + acc += (q63_t) a1 *Yn1; + /* acc += a2 * y[n-2] */ + acc += (q63_t) a2 *Yn2; + + /* The result is converted to 1.31, Yn2 variable is reused */ + /* Calc lower part of acc */ + acc_l = acc & 0xffffffff; + + /* Calc upper part of acc */ + acc_h = (acc >> 32) & 0xffffffff; + + + /* Apply shift for lower part of acc and upper part of acc */ + Yn2 = (uint32_t) acc_l >> lShift | acc_h << uShift; + + /* Store the output in the destination buffer. */ + *pOut++ = Yn2; + + /* Read the forth input */ + Xn = *pIn++; + + /* acc = b0 * x[n] + b1 * x[n-1] + b2 * x[n-2] + a1 * y[n-1] + a2 * y[n-2] */ + + /* acc = b0 * x[n] */ + acc = (q63_t) b0 *Xn; + /* acc += b1 * x[n-1] */ + acc += (q63_t) b1 *Xn1; + /* acc += b[2] * x[n-2] */ + acc += (q63_t) b2 *Xn2; + /* acc += a1 * y[n-1] */ + acc += (q63_t) a1 *Yn2; + /* acc += a2 * y[n-2] */ + acc += (q63_t) a2 *Yn1; + + /* The result is converted to 1.31, Yn1 variable is reused */ + /* Calc lower part of acc */ + acc_l = acc & 0xffffffff; + + /* Calc upper part of acc */ + acc_h = (acc >> 32) & 0xffffffff; + + /* Apply shift for lower part of acc and upper part of acc */ + Yn1 = (uint32_t) acc_l >> lShift | acc_h << uShift; + + /* Every time after the output is computed state should be updated. */ + /* The states should be updated as: */ + /* Xn2 = Xn1 */ + /* Xn1 = Xn */ + /* Yn2 = Yn1 */ + /* Yn1 = acc */ + Xn2 = Xn1; + Xn1 = Xn; + + /* Store the output in the destination buffer. */ + *pOut++ = Yn1; + + /* decrement the loop counter */ + sample--; + } + + /* If the blockSize is not a multiple of 4, compute any remaining output samples here. + ** No loop unrolling is used. */ + sample = (blockSize & 0x3U); + + while (sample > 0U) + { + /* Read the input */ + Xn = *pIn++; + + /* acc = b0 * x[n] + b1 * x[n-1] + b2 * x[n-2] + a1 * y[n-1] + a2 * y[n-2] */ + + /* acc = b0 * x[n] */ + acc = (q63_t) b0 *Xn; + /* acc += b1 * x[n-1] */ + acc += (q63_t) b1 *Xn1; + /* acc += b[2] * x[n-2] */ + acc += (q63_t) b2 *Xn2; + /* acc += a1 * y[n-1] */ + acc += (q63_t) a1 *Yn1; + /* acc += a2 * y[n-2] */ + acc += (q63_t) a2 *Yn2; + + /* The result is converted to 1.31 */ + acc = acc >> lShift; + + /* Every time after the output is computed state should be updated. */ + /* The states should be updated as: */ + /* Xn2 = Xn1 */ + /* Xn1 = Xn */ + /* Yn2 = Yn1 */ + /* Yn1 = acc */ + Xn2 = Xn1; + Xn1 = Xn; + Yn2 = Yn1; + Yn1 = (q31_t) acc; + + /* Store the output in the destination buffer. */ + *pOut++ = (q31_t) acc; + + /* decrement the loop counter */ + sample--; + } + + /* The first stage goes from the input buffer to the output buffer. */ + /* Subsequent stages occur in-place in the output buffer */ + pIn = pDst; + + /* Reset to destination pointer */ + pOut = pDst; + + /* Store the updated state variables back into the pState array */ + *pState++ = Xn1; + *pState++ = Xn2; + *pState++ = Yn1; + *pState++ = Yn2; + + } while (--stage); + +#else + + /* Run the below code for Cortex-M0 */ + + do + { + /* Reading the coefficients */ + b0 = *pCoeffs++; + b1 = *pCoeffs++; + b2 = *pCoeffs++; + a1 = *pCoeffs++; + a2 = *pCoeffs++; + + /* Reading the state values */ + Xn1 = pState[0]; + Xn2 = pState[1]; + Yn1 = pState[2]; + Yn2 = pState[3]; + + /* The variables acc holds the output value that is computed: + * acc = b0 * x[n] + b1 * x[n-1] + b2 * x[n-2] + a1 * y[n-1] + a2 * y[n-2] + */ + + sample = blockSize; + + while (sample > 0U) + { + /* Read the input */ + Xn = *pIn++; + + /* acc = b0 * x[n] + b1 * x[n-1] + b2 * x[n-2] + a1 * y[n-1] + a2 * y[n-2] */ + /* acc = b0 * x[n] */ + acc = (q63_t) b0 *Xn; + + /* acc += b1 * x[n-1] */ + acc += (q63_t) b1 *Xn1; + /* acc += b[2] * x[n-2] */ + acc += (q63_t) b2 *Xn2; + /* acc += a1 * y[n-1] */ + acc += (q63_t) a1 *Yn1; + /* acc += a2 * y[n-2] */ + acc += (q63_t) a2 *Yn2; + + /* The result is converted to 1.31 */ + acc = acc >> lShift; + + /* Every time after the output is computed state should be updated. */ + /* The states should be updated as: */ + /* Xn2 = Xn1 */ + /* Xn1 = Xn */ + /* Yn2 = Yn1 */ + /* Yn1 = acc */ + Xn2 = Xn1; + Xn1 = Xn; + Yn2 = Yn1; + Yn1 = (q31_t) acc; + + /* Store the output in the destination buffer. */ + *pOut++ = (q31_t) acc; + + /* decrement the loop counter */ + sample--; + } + + /* The first stage goes from the input buffer to the output buffer. */ + /* Subsequent stages occur in-place in the output buffer */ + pIn = pDst; + + /* Reset to destination pointer */ + pOut = pDst; + + /* Store the updated state variables back into the pState array */ + *pState++ = Xn1; + *pState++ = Xn2; + *pState++ = Yn1; + *pState++ = Yn2; + + } while (--stage); + +#endif /* #if defined (ARM_MATH_DSP) */ +} + + + + +/** + * @} end of BiquadCascadeDF1 group + */ diff --git a/fw/hid-dials/Drivers/CMSIS/DSP/Source/FilteringFunctions/arm_biquad_cascade_df2T_f32.c b/fw/hid-dials/Drivers/CMSIS/DSP/Source/FilteringFunctions/arm_biquad_cascade_df2T_f32.c new file mode 100644 index 0000000..3f1ce03 --- /dev/null +++ b/fw/hid-dials/Drivers/CMSIS/DSP/Source/FilteringFunctions/arm_biquad_cascade_df2T_f32.c @@ -0,0 +1,590 @@ +/* ---------------------------------------------------------------------- + * Project: CMSIS DSP Library + * Title: arm_biquad_cascade_df2T_f32.c + * Description: Processing function for floating-point transposed direct form II Biquad cascade filter + * + * $Date: 27. January 2017 + * $Revision: V.1.5.1 + * + * Target Processor: Cortex-M cores + * -------------------------------------------------------------------- */ +/* + * Copyright (C) 2010-2017 ARM Limited or its affiliates. All rights reserved. + * + * SPDX-License-Identifier: Apache-2.0 + * + * Licensed under the Apache License, Version 2.0 (the License); you may + * not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an AS IS BASIS, WITHOUT + * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ + +#include "arm_math.h" + +/** +* @ingroup groupFilters +*/ + +/** +* @defgroup BiquadCascadeDF2T Biquad Cascade IIR Filters Using a Direct Form II Transposed Structure +* +* This set of functions implements arbitrary order recursive (IIR) filters using a transposed direct form II structure. +* The filters are implemented as a cascade of second order Biquad sections. +* These functions provide a slight memory savings as compared to the direct form I Biquad filter functions. +* Only floating-point data is supported. +* +* This function operate on blocks of input and output data and each call to the function +* processes blockSize samples through the filter. +* pSrc points to the array of input data and +* pDst points to the array of output data. +* Both arrays contain blockSize values. +* +* \par Algorithm +* Each Biquad stage implements a second order filter using the difference equation: +*
+*    y[n] = b0 * x[n] + d1
+*    d1 = b1 * x[n] + a1 * y[n] + d2
+*    d2 = b2 * x[n] + a2 * y[n]
+* 
+* where d1 and d2 represent the two state values. +* +* \par +* A Biquad filter using a transposed Direct Form II structure is shown below. +* \image html BiquadDF2Transposed.gif "Single transposed Direct Form II Biquad" +* Coefficients b0, b1, and b2 multiply the input signal x[n] and are referred to as the feedforward coefficients. +* Coefficients a1 and a2 multiply the output signal y[n] and are referred to as the feedback coefficients. +* Pay careful attention to the sign of the feedback coefficients. +* Some design tools flip the sign of the feedback coefficients: +*
+*    y[n] = b0 * x[n] + d1;
+*    d1 = b1 * x[n] - a1 * y[n] + d2;
+*    d2 = b2 * x[n] - a2 * y[n];
+* 
+* In this case the feedback coefficients a1 and a2 must be negated when used with the CMSIS DSP Library. +* +* \par +* Higher order filters are realized as a cascade of second order sections. +* numStages refers to the number of second order stages used. +* For example, an 8th order filter would be realized with numStages=4 second order stages. +* A 9th order filter would be realized with numStages=5 second order stages with the +* coefficients for one of the stages configured as a first order filter (b2=0 and a2=0). +* +* \par +* pState points to the state variable array. +* Each Biquad stage has 2 state variables d1 and d2. +* The state variables are arranged in the pState array as: +*
+*     {d11, d12, d21, d22, ...}
+* 
+* where d1x refers to the state variables for the first Biquad and +* d2x refers to the state variables for the second Biquad. +* The state array has a total length of 2*numStages values. +* The state variables are updated after each block of data is processed; the coefficients are untouched. +* +* \par +* The CMSIS library contains Biquad filters in both Direct Form I and transposed Direct Form II. +* The advantage of the Direct Form I structure is that it is numerically more robust for fixed-point data types. +* That is why the Direct Form I structure supports Q15 and Q31 data types. +* The transposed Direct Form II structure, on the other hand, requires a wide dynamic range for the state variables d1 and d2. +* Because of this, the CMSIS library only has a floating-point version of the Direct Form II Biquad. +* The advantage of the Direct Form II Biquad is that it requires half the number of state variables, 2 rather than 4, per Biquad stage. +* +* \par Instance Structure +* The coefficients and state variables for a filter are stored together in an instance data structure. +* A separate instance structure must be defined for each filter. +* Coefficient arrays may be shared among several instances while state variable arrays cannot be shared. +* +* \par Init Functions +* There is also an associated initialization function. +* The initialization function performs following operations: +* - Sets the values of the internal structure fields. +* - Zeros out the values in the state buffer. +* To do this manually without calling the init function, assign the follow subfields of the instance structure: +* numStages, pCoeffs, pState. Also set all of the values in pState to zero. +* +* \par +* Use of the initialization function is optional. +* However, if the initialization function is used, then the instance structure cannot be placed into a const data section. +* To place an instance structure into a const data section, the instance structure must be manually initialized. +* Set the values in the state buffer to zeros before static initialization. +* For example, to statically initialize the instance structure use +*
+*     arm_biquad_cascade_df2T_instance_f32 S1 = {numStages, pState, pCoeffs};
+* 
+* where numStages is the number of Biquad stages in the filter; pState is the address of the state buffer. +* pCoeffs is the address of the coefficient buffer; +* +*/ + +/** +* @addtogroup BiquadCascadeDF2T +* @{ +*/ + +/** +* @brief Processing function for the floating-point transposed direct form II Biquad cascade filter. +* @param[in] *S points to an instance of the filter data structure. +* @param[in] *pSrc points to the block of input data. +* @param[out] *pDst points to the block of output data +* @param[in] blockSize number of samples to process. +* @return none. +*/ + + +LOW_OPTIMIZATION_ENTER +void arm_biquad_cascade_df2T_f32( +const arm_biquad_cascade_df2T_instance_f32 * S, +float32_t * pSrc, +float32_t * pDst, +uint32_t blockSize) +{ + + float32_t *pIn = pSrc; /* source pointer */ + float32_t *pOut = pDst; /* destination pointer */ + float32_t *pState = S->pState; /* State pointer */ + float32_t *pCoeffs = S->pCoeffs; /* coefficient pointer */ + float32_t acc1; /* accumulator */ + float32_t b0, b1, b2, a1, a2; /* Filter coefficients */ + float32_t Xn1; /* temporary input */ + float32_t d1, d2; /* state variables */ + uint32_t sample, stage = S->numStages; /* loop counters */ + +#if defined(ARM_MATH_CM7) + + float32_t Xn2, Xn3, Xn4, Xn5, Xn6, Xn7, Xn8; /* Input State variables */ + float32_t Xn9, Xn10, Xn11, Xn12, Xn13, Xn14, Xn15, Xn16; + float32_t acc2, acc3, acc4, acc5, acc6, acc7; /* Simulates the accumulator */ + float32_t acc8, acc9, acc10, acc11, acc12, acc13, acc14, acc15, acc16; + + do + { + /* Reading the coefficients */ + b0 = pCoeffs[0]; + b1 = pCoeffs[1]; + b2 = pCoeffs[2]; + a1 = pCoeffs[3]; + /* Apply loop unrolling and compute 16 output values simultaneously. */ + sample = blockSize >> 4U; + a2 = pCoeffs[4]; + + /*Reading the state values */ + d1 = pState[0]; + d2 = pState[1]; + + pCoeffs += 5U; + + + /* First part of the processing with loop unrolling. Compute 16 outputs at a time. + ** a second loop below computes the remaining 1 to 15 samples. */ + while (sample > 0U) { + + /* y[n] = b0 * x[n] + d1 */ + /* d1 = b1 * x[n] + a1 * y[n] + d2 */ + /* d2 = b2 * x[n] + a2 * y[n] */ + + /* Read the first 2 inputs. 2 cycles */ + Xn1 = pIn[0 ]; + Xn2 = pIn[1 ]; + + /* Sample 1. 5 cycles */ + Xn3 = pIn[2 ]; + acc1 = b0 * Xn1 + d1; + + Xn4 = pIn[3 ]; + d1 = b1 * Xn1 + d2; + + Xn5 = pIn[4 ]; + d2 = b2 * Xn1; + + Xn6 = pIn[5 ]; + d1 += a1 * acc1; + + Xn7 = pIn[6 ]; + d2 += a2 * acc1; + + /* Sample 2. 5 cycles */ + Xn8 = pIn[7 ]; + acc2 = b0 * Xn2 + d1; + + Xn9 = pIn[8 ]; + d1 = b1 * Xn2 + d2; + + Xn10 = pIn[9 ]; + d2 = b2 * Xn2; + + Xn11 = pIn[10]; + d1 += a1 * acc2; + + Xn12 = pIn[11]; + d2 += a2 * acc2; + + /* Sample 3. 5 cycles */ + Xn13 = pIn[12]; + acc3 = b0 * Xn3 + d1; + + Xn14 = pIn[13]; + d1 = b1 * Xn3 + d2; + + Xn15 = pIn[14]; + d2 = b2 * Xn3; + + Xn16 = pIn[15]; + d1 += a1 * acc3; + + pIn += 16; + d2 += a2 * acc3; + + /* Sample 4. 5 cycles */ + acc4 = b0 * Xn4 + d1; + d1 = b1 * Xn4 + d2; + d2 = b2 * Xn4; + d1 += a1 * acc4; + d2 += a2 * acc4; + + /* Sample 5. 5 cycles */ + acc5 = b0 * Xn5 + d1; + d1 = b1 * Xn5 + d2; + d2 = b2 * Xn5; + d1 += a1 * acc5; + d2 += a2 * acc5; + + /* Sample 6. 5 cycles */ + acc6 = b0 * Xn6 + d1; + d1 = b1 * Xn6 + d2; + d2 = b2 * Xn6; + d1 += a1 * acc6; + d2 += a2 * acc6; + + /* Sample 7. 5 cycles */ + acc7 = b0 * Xn7 + d1; + d1 = b1 * Xn7 + d2; + d2 = b2 * Xn7; + d1 += a1 * acc7; + d2 += a2 * acc7; + + /* Sample 8. 5 cycles */ + acc8 = b0 * Xn8 + d1; + d1 = b1 * Xn8 + d2; + d2 = b2 * Xn8; + d1 += a1 * acc8; + d2 += a2 * acc8; + + /* Sample 9. 5 cycles */ + acc9 = b0 * Xn9 + d1; + d1 = b1 * Xn9 + d2; + d2 = b2 * Xn9; + d1 += a1 * acc9; + d2 += a2 * acc9; + + /* Sample 10. 5 cycles */ + acc10 = b0 * Xn10 + d1; + d1 = b1 * Xn10 + d2; + d2 = b2 * Xn10; + d1 += a1 * acc10; + d2 += a2 * acc10; + + /* Sample 11. 5 cycles */ + acc11 = b0 * Xn11 + d1; + d1 = b1 * Xn11 + d2; + d2 = b2 * Xn11; + d1 += a1 * acc11; + d2 += a2 * acc11; + + /* Sample 12. 5 cycles */ + acc12 = b0 * Xn12 + d1; + d1 = b1 * Xn12 + d2; + d2 = b2 * Xn12; + d1 += a1 * acc12; + d2 += a2 * acc12; + + /* Sample 13. 5 cycles */ + acc13 = b0 * Xn13 + d1; + d1 = b1 * Xn13 + d2; + d2 = b2 * Xn13; + + pOut[0 ] = acc1 ; + d1 += a1 * acc13; + + pOut[1 ] = acc2 ; + d2 += a2 * acc13; + + /* Sample 14. 5 cycles */ + pOut[2 ] = acc3 ; + acc14 = b0 * Xn14 + d1; + + pOut[3 ] = acc4 ; + d1 = b1 * Xn14 + d2; + + pOut[4 ] = acc5 ; + d2 = b2 * Xn14; + + pOut[5 ] = acc6 ; + d1 += a1 * acc14; + + pOut[6 ] = acc7 ; + d2 += a2 * acc14; + + /* Sample 15. 5 cycles */ + pOut[7 ] = acc8 ; + pOut[8 ] = acc9 ; + acc15 = b0 * Xn15 + d1; + + pOut[9 ] = acc10; + d1 = b1 * Xn15 + d2; + + pOut[10] = acc11; + d2 = b2 * Xn15; + + pOut[11] = acc12; + d1 += a1 * acc15; + + pOut[12] = acc13; + d2 += a2 * acc15; + + /* Sample 16. 5 cycles */ + pOut[13] = acc14; + acc16 = b0 * Xn16 + d1; + + pOut[14] = acc15; + d1 = b1 * Xn16 + d2; + + pOut[15] = acc16; + d2 = b2 * Xn16; + + sample--; + d1 += a1 * acc16; + + pOut += 16; + d2 += a2 * acc16; + } + + sample = blockSize & 0xFu; + while (sample > 0U) { + Xn1 = *pIn; + acc1 = b0 * Xn1 + d1; + + pIn++; + d1 = b1 * Xn1 + d2; + + *pOut = acc1; + d2 = b2 * Xn1; + + pOut++; + d1 += a1 * acc1; + + sample--; + d2 += a2 * acc1; + } + + /* Store the updated state variables back into the state array */ + pState[0] = d1; + /* The current stage input is given as the output to the next stage */ + pIn = pDst; + + pState[1] = d2; + /* decrement the loop counter */ + stage--; + + pState += 2U; + + /*Reset the output working pointer */ + pOut = pDst; + + } while (stage > 0U); + +#elif defined(ARM_MATH_CM0_FAMILY) + + /* Run the below code for Cortex-M0 */ + + do + { + /* Reading the coefficients */ + b0 = *pCoeffs++; + b1 = *pCoeffs++; + b2 = *pCoeffs++; + a1 = *pCoeffs++; + a2 = *pCoeffs++; + + /*Reading the state values */ + d1 = pState[0]; + d2 = pState[1]; + + + sample = blockSize; + + while (sample > 0U) + { + /* Read the input */ + Xn1 = *pIn++; + + /* y[n] = b0 * x[n] + d1 */ + acc1 = (b0 * Xn1) + d1; + + /* Store the result in the accumulator in the destination buffer. */ + *pOut++ = acc1; + + /* Every time after the output is computed state should be updated. */ + /* d1 = b1 * x[n] + a1 * y[n] + d2 */ + d1 = ((b1 * Xn1) + (a1 * acc1)) + d2; + + /* d2 = b2 * x[n] + a2 * y[n] */ + d2 = (b2 * Xn1) + (a2 * acc1); + + /* decrement the loop counter */ + sample--; + } + + /* Store the updated state variables back into the state array */ + *pState++ = d1; + *pState++ = d2; + + /* The current stage input is given as the output to the next stage */ + pIn = pDst; + + /*Reset the output working pointer */ + pOut = pDst; + + /* decrement the loop counter */ + stage--; + + } while (stage > 0U); + +#else + + float32_t Xn2, Xn3, Xn4; /* Input State variables */ + float32_t acc2, acc3, acc4; /* accumulator */ + + + float32_t p0, p1, p2, p3, p4, A1; + + /* Run the below code for Cortex-M4 and Cortex-M3 */ + do + { + /* Reading the coefficients */ + b0 = *pCoeffs++; + b1 = *pCoeffs++; + b2 = *pCoeffs++; + a1 = *pCoeffs++; + a2 = *pCoeffs++; + + + /*Reading the state values */ + d1 = pState[0]; + d2 = pState[1]; + + /* Apply loop unrolling and compute 4 output values simultaneously. */ + sample = blockSize >> 2U; + + /* First part of the processing with loop unrolling. Compute 4 outputs at a time. + ** a second loop below computes the remaining 1 to 3 samples. */ + while (sample > 0U) { + + /* y[n] = b0 * x[n] + d1 */ + /* d1 = b1 * x[n] + a1 * y[n] + d2 */ + /* d2 = b2 * x[n] + a2 * y[n] */ + + /* Read the four inputs */ + Xn1 = pIn[0]; + Xn2 = pIn[1]; + Xn3 = pIn[2]; + Xn4 = pIn[3]; + pIn += 4; + + p0 = b0 * Xn1; + p1 = b1 * Xn1; + acc1 = p0 + d1; + p0 = b0 * Xn2; + p3 = a1 * acc1; + p2 = b2 * Xn1; + A1 = p1 + p3; + p4 = a2 * acc1; + d1 = A1 + d2; + d2 = p2 + p4; + + p1 = b1 * Xn2; + acc2 = p0 + d1; + p0 = b0 * Xn3; + p3 = a1 * acc2; + p2 = b2 * Xn2; + A1 = p1 + p3; + p4 = a2 * acc2; + d1 = A1 + d2; + d2 = p2 + p4; + + p1 = b1 * Xn3; + acc3 = p0 + d1; + p0 = b0 * Xn4; + p3 = a1 * acc3; + p2 = b2 * Xn3; + A1 = p1 + p3; + p4 = a2 * acc3; + d1 = A1 + d2; + d2 = p2 + p4; + + acc4 = p0 + d1; + p1 = b1 * Xn4; + p3 = a1 * acc4; + p2 = b2 * Xn4; + A1 = p1 + p3; + p4 = a2 * acc4; + d1 = A1 + d2; + d2 = p2 + p4; + + pOut[0] = acc1; + pOut[1] = acc2; + pOut[2] = acc3; + pOut[3] = acc4; + pOut += 4; + + sample--; + } + + sample = blockSize & 0x3U; + while (sample > 0U) { + Xn1 = *pIn++; + + p0 = b0 * Xn1; + p1 = b1 * Xn1; + acc1 = p0 + d1; + p3 = a1 * acc1; + p2 = b2 * Xn1; + A1 = p1 + p3; + p4 = a2 * acc1; + d1 = A1 + d2; + d2 = p2 + p4; + + *pOut++ = acc1; + + sample--; + } + + /* Store the updated state variables back into the state array */ + *pState++ = d1; + *pState++ = d2; + + /* The current stage input is given as the output to the next stage */ + pIn = pDst; + + /*Reset the output working pointer */ + pOut = pDst; + + /* decrement the loop counter */ + stage--; + + } while (stage > 0U); + +#endif + +} +LOW_OPTIMIZATION_EXIT + +/** + * @} end of BiquadCascadeDF2T group + */ diff --git a/fw/hid-dials/Drivers/CMSIS/DSP/Source/FilteringFunctions/arm_biquad_cascade_df2T_f64.c b/fw/hid-dials/Drivers/CMSIS/DSP/Source/FilteringFunctions/arm_biquad_cascade_df2T_f64.c new file mode 100644 index 0000000..8f8a830 --- /dev/null +++ b/fw/hid-dials/Drivers/CMSIS/DSP/Source/FilteringFunctions/arm_biquad_cascade_df2T_f64.c @@ -0,0 +1,590 @@ +/* ---------------------------------------------------------------------- + * Project: CMSIS DSP Library + * Title: arm_biquad_cascade_df2T_f64.c + * Description: Processing function for floating-point transposed direct form II Biquad cascade filter + * + * $Date: 27. January 2017 + * $Revision: V.1.5.1 + * + * Target Processor: Cortex-M cores + * -------------------------------------------------------------------- */ +/* + * Copyright (C) 2010-2017 ARM Limited or its affiliates. All rights reserved. + * + * SPDX-License-Identifier: Apache-2.0 + * + * Licensed under the Apache License, Version 2.0 (the License); you may + * not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an AS IS BASIS, WITHOUT + * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ + +#include "arm_math.h" + +/** +* @ingroup groupFilters +*/ + +/** +* @defgroup BiquadCascadeDF2T Biquad Cascade IIR Filters Using a Direct Form II Transposed Structure +* +* This set of functions implements arbitrary order recursive (IIR) filters using a transposed direct form II structure. +* The filters are implemented as a cascade of second order Biquad sections. +* These functions provide a slight memory savings as compared to the direct form I Biquad filter functions. +* Only floating-point data is supported. +* +* This function operate on blocks of input and output data and each call to the function +* processes blockSize samples through the filter. +* pSrc points to the array of input data and +* pDst points to the array of output data. +* Both arrays contain blockSize values. +* +* \par Algorithm +* Each Biquad stage implements a second order filter using the difference equation: +*
+*    y[n] = b0 * x[n] + d1
+*    d1 = b1 * x[n] + a1 * y[n] + d2
+*    d2 = b2 * x[n] + a2 * y[n]
+* 
+* where d1 and d2 represent the two state values. +* +* \par +* A Biquad filter using a transposed Direct Form II structure is shown below. +* \image html BiquadDF2Transposed.gif "Single transposed Direct Form II Biquad" +* Coefficients b0, b1, and b2 multiply the input signal x[n] and are referred to as the feedforward coefficients. +* Coefficients a1 and a2 multiply the output signal y[n] and are referred to as the feedback coefficients. +* Pay careful attention to the sign of the feedback coefficients. +* Some design tools flip the sign of the feedback coefficients: +*
+*    y[n] = b0 * x[n] + d1;
+*    d1 = b1 * x[n] - a1 * y[n] + d2;
+*    d2 = b2 * x[n] - a2 * y[n];
+* 
+* In this case the feedback coefficients a1 and a2 must be negated when used with the CMSIS DSP Library. +* +* \par +* Higher order filters are realized as a cascade of second order sections. +* numStages refers to the number of second order stages used. +* For example, an 8th order filter would be realized with numStages=4 second order stages. +* A 9th order filter would be realized with numStages=5 second order stages with the +* coefficients for one of the stages configured as a first order filter (b2=0 and a2=0). +* +* \par +* pState points to the state variable array. +* Each Biquad stage has 2 state variables d1 and d2. +* The state variables are arranged in the pState array as: +*
+*     {d11, d12, d21, d22, ...}
+* 
+* where d1x refers to the state variables for the first Biquad and +* d2x refers to the state variables for the second Biquad. +* The state array has a total length of 2*numStages values. +* The state variables are updated after each block of data is processed; the coefficients are untouched. +* +* \par +* The CMSIS library contains Biquad filters in both Direct Form I and transposed Direct Form II. +* The advantage of the Direct Form I structure is that it is numerically more robust for fixed-point data types. +* That is why the Direct Form I structure supports Q15 and Q31 data types. +* The transposed Direct Form II structure, on the other hand, requires a wide dynamic range for the state variables d1 and d2. +* Because of this, the CMSIS library only has a floating-point version of the Direct Form II Biquad. +* The advantage of the Direct Form II Biquad is that it requires half the number of state variables, 2 rather than 4, per Biquad stage. +* +* \par Instance Structure +* The coefficients and state variables for a filter are stored together in an instance data structure. +* A separate instance structure must be defined for each filter. +* Coefficient arrays may be shared among several instances while state variable arrays cannot be shared. +* +* \par Init Functions +* There is also an associated initialization function. +* The initialization function performs following operations: +* - Sets the values of the internal structure fields. +* - Zeros out the values in the state buffer. +* To do this manually without calling the init function, assign the follow subfields of the instance structure: +* numStages, pCoeffs, pState. Also set all of the values in pState to zero. +* +* \par +* Use of the initialization function is optional. +* However, if the initialization function is used, then the instance structure cannot be placed into a const data section. +* To place an instance structure into a const data section, the instance structure must be manually initialized. +* Set the values in the state buffer to zeros before static initialization. +* For example, to statically initialize the instance structure use +*
+*     arm_biquad_cascade_df2T_instance_f64 S1 = {numStages, pState, pCoeffs};
+* 
+* where numStages is the number of Biquad stages in the filter; pState is the address of the state buffer. +* pCoeffs is the address of the coefficient buffer; +* +*/ + +/** +* @addtogroup BiquadCascadeDF2T +* @{ +*/ + +/** +* @brief Processing function for the floating-point transposed direct form II Biquad cascade filter. +* @param[in] *S points to an instance of the filter data structure. +* @param[in] *pSrc points to the block of input data. +* @param[out] *pDst points to the block of output data +* @param[in] blockSize number of samples to process. +* @return none. +*/ + + +LOW_OPTIMIZATION_ENTER +void arm_biquad_cascade_df2T_f64( +const arm_biquad_cascade_df2T_instance_f64 * S, +float64_t * pSrc, +float64_t * pDst, +uint32_t blockSize) +{ + + float64_t *pIn = pSrc; /* source pointer */ + float64_t *pOut = pDst; /* destination pointer */ + float64_t *pState = S->pState; /* State pointer */ + float64_t *pCoeffs = S->pCoeffs; /* coefficient pointer */ + float64_t acc1; /* accumulator */ + float64_t b0, b1, b2, a1, a2; /* Filter coefficients */ + float64_t Xn1; /* temporary input */ + float64_t d1, d2; /* state variables */ + uint32_t sample, stage = S->numStages; /* loop counters */ + +#if defined(ARM_MATH_CM7) + + float64_t Xn2, Xn3, Xn4, Xn5, Xn6, Xn7, Xn8; /* Input State variables */ + float64_t Xn9, Xn10, Xn11, Xn12, Xn13, Xn14, Xn15, Xn16; + float64_t acc2, acc3, acc4, acc5, acc6, acc7; /* Simulates the accumulator */ + float64_t acc8, acc9, acc10, acc11, acc12, acc13, acc14, acc15, acc16; + + do + { + /* Reading the coefficients */ + b0 = pCoeffs[0]; + b1 = pCoeffs[1]; + b2 = pCoeffs[2]; + a1 = pCoeffs[3]; + /* Apply loop unrolling and compute 16 output values simultaneously. */ + sample = blockSize >> 4U; + a2 = pCoeffs[4]; + + /*Reading the state values */ + d1 = pState[0]; + d2 = pState[1]; + + pCoeffs += 5U; + + + /* First part of the processing with loop unrolling. Compute 16 outputs at a time. + ** a second loop below computes the remaining 1 to 15 samples. */ + while (sample > 0U) { + + /* y[n] = b0 * x[n] + d1 */ + /* d1 = b1 * x[n] + a1 * y[n] + d2 */ + /* d2 = b2 * x[n] + a2 * y[n] */ + + /* Read the first 2 inputs. 2 cycles */ + Xn1 = pIn[0 ]; + Xn2 = pIn[1 ]; + + /* Sample 1. 5 cycles */ + Xn3 = pIn[2 ]; + acc1 = b0 * Xn1 + d1; + + Xn4 = pIn[3 ]; + d1 = b1 * Xn1 + d2; + + Xn5 = pIn[4 ]; + d2 = b2 * Xn1; + + Xn6 = pIn[5 ]; + d1 += a1 * acc1; + + Xn7 = pIn[6 ]; + d2 += a2 * acc1; + + /* Sample 2. 5 cycles */ + Xn8 = pIn[7 ]; + acc2 = b0 * Xn2 + d1; + + Xn9 = pIn[8 ]; + d1 = b1 * Xn2 + d2; + + Xn10 = pIn[9 ]; + d2 = b2 * Xn2; + + Xn11 = pIn[10]; + d1 += a1 * acc2; + + Xn12 = pIn[11]; + d2 += a2 * acc2; + + /* Sample 3. 5 cycles */ + Xn13 = pIn[12]; + acc3 = b0 * Xn3 + d1; + + Xn14 = pIn[13]; + d1 = b1 * Xn3 + d2; + + Xn15 = pIn[14]; + d2 = b2 * Xn3; + + Xn16 = pIn[15]; + d1 += a1 * acc3; + + pIn += 16; + d2 += a2 * acc3; + + /* Sample 4. 5 cycles */ + acc4 = b0 * Xn4 + d1; + d1 = b1 * Xn4 + d2; + d2 = b2 * Xn4; + d1 += a1 * acc4; + d2 += a2 * acc4; + + /* Sample 5. 5 cycles */ + acc5 = b0 * Xn5 + d1; + d1 = b1 * Xn5 + d2; + d2 = b2 * Xn5; + d1 += a1 * acc5; + d2 += a2 * acc5; + + /* Sample 6. 5 cycles */ + acc6 = b0 * Xn6 + d1; + d1 = b1 * Xn6 + d2; + d2 = b2 * Xn6; + d1 += a1 * acc6; + d2 += a2 * acc6; + + /* Sample 7. 5 cycles */ + acc7 = b0 * Xn7 + d1; + d1 = b1 * Xn7 + d2; + d2 = b2 * Xn7; + d1 += a1 * acc7; + d2 += a2 * acc7; + + /* Sample 8. 5 cycles */ + acc8 = b0 * Xn8 + d1; + d1 = b1 * Xn8 + d2; + d2 = b2 * Xn8; + d1 += a1 * acc8; + d2 += a2 * acc8; + + /* Sample 9. 5 cycles */ + acc9 = b0 * Xn9 + d1; + d1 = b1 * Xn9 + d2; + d2 = b2 * Xn9; + d1 += a1 * acc9; + d2 += a2 * acc9; + + /* Sample 10. 5 cycles */ + acc10 = b0 * Xn10 + d1; + d1 = b1 * Xn10 + d2; + d2 = b2 * Xn10; + d1 += a1 * acc10; + d2 += a2 * acc10; + + /* Sample 11. 5 cycles */ + acc11 = b0 * Xn11 + d1; + d1 = b1 * Xn11 + d2; + d2 = b2 * Xn11; + d1 += a1 * acc11; + d2 += a2 * acc11; + + /* Sample 12. 5 cycles */ + acc12 = b0 * Xn12 + d1; + d1 = b1 * Xn12 + d2; + d2 = b2 * Xn12; + d1 += a1 * acc12; + d2 += a2 * acc12; + + /* Sample 13. 5 cycles */ + acc13 = b0 * Xn13 + d1; + d1 = b1 * Xn13 + d2; + d2 = b2 * Xn13; + + pOut[0 ] = acc1 ; + d1 += a1 * acc13; + + pOut[1 ] = acc2 ; + d2 += a2 * acc13; + + /* Sample 14. 5 cycles */ + pOut[2 ] = acc3 ; + acc14 = b0 * Xn14 + d1; + + pOut[3 ] = acc4 ; + d1 = b1 * Xn14 + d2; + + pOut[4 ] = acc5 ; + d2 = b2 * Xn14; + + pOut[5 ] = acc6 ; + d1 += a1 * acc14; + + pOut[6 ] = acc7 ; + d2 += a2 * acc14; + + /* Sample 15. 5 cycles */ + pOut[7 ] = acc8 ; + pOut[8 ] = acc9 ; + acc15 = b0 * Xn15 + d1; + + pOut[9 ] = acc10; + d1 = b1 * Xn15 + d2; + + pOut[10] = acc11; + d2 = b2 * Xn15; + + pOut[11] = acc12; + d1 += a1 * acc15; + + pOut[12] = acc13; + d2 += a2 * acc15; + + /* Sample 16. 5 cycles */ + pOut[13] = acc14; + acc16 = b0 * Xn16 + d1; + + pOut[14] = acc15; + d1 = b1 * Xn16 + d2; + + pOut[15] = acc16; + d2 = b2 * Xn16; + + sample--; + d1 += a1 * acc16; + + pOut += 16; + d2 += a2 * acc16; + } + + sample = blockSize & 0xFu; + while (sample > 0U) { + Xn1 = *pIn; + acc1 = b0 * Xn1 + d1; + + pIn++; + d1 = b1 * Xn1 + d2; + + *pOut = acc1; + d2 = b2 * Xn1; + + pOut++; + d1 += a1 * acc1; + + sample--; + d2 += a2 * acc1; + } + + /* Store the updated state variables back into the state array */ + pState[0] = d1; + /* The current stage input is given as the output to the next stage */ + pIn = pDst; + + pState[1] = d2; + /* decrement the loop counter */ + stage--; + + pState += 2U; + + /*Reset the output working pointer */ + pOut = pDst; + + } while (stage > 0U); + +#elif defined(ARM_MATH_CM0_FAMILY) + + /* Run the below code for Cortex-M0 */ + + do + { + /* Reading the coefficients */ + b0 = *pCoeffs++; + b1 = *pCoeffs++; + b2 = *pCoeffs++; + a1 = *pCoeffs++; + a2 = *pCoeffs++; + + /*Reading the state values */ + d1 = pState[0]; + d2 = pState[1]; + + + sample = blockSize; + + while (sample > 0U) + { + /* Read the input */ + Xn1 = *pIn++; + + /* y[n] = b0 * x[n] + d1 */ + acc1 = (b0 * Xn1) + d1; + + /* Store the result in the accumulator in the destination buffer. */ + *pOut++ = acc1; + + /* Every time after the output is computed state should be updated. */ + /* d1 = b1 * x[n] + a1 * y[n] + d2 */ + d1 = ((b1 * Xn1) + (a1 * acc1)) + d2; + + /* d2 = b2 * x[n] + a2 * y[n] */ + d2 = (b2 * Xn1) + (a2 * acc1); + + /* decrement the loop counter */ + sample--; + } + + /* Store the updated state variables back into the state array */ + *pState++ = d1; + *pState++ = d2; + + /* The current stage input is given as the output to the next stage */ + pIn = pDst; + + /*Reset the output working pointer */ + pOut = pDst; + + /* decrement the loop counter */ + stage--; + + } while (stage > 0U); + +#else + + float64_t Xn2, Xn3, Xn4; /* Input State variables */ + float64_t acc2, acc3, acc4; /* accumulator */ + + + float64_t p0, p1, p2, p3, p4, A1; + + /* Run the below code for Cortex-M4 and Cortex-M3 */ + do + { + /* Reading the coefficients */ + b0 = *pCoeffs++; + b1 = *pCoeffs++; + b2 = *pCoeffs++; + a1 = *pCoeffs++; + a2 = *pCoeffs++; + + + /*Reading the state values */ + d1 = pState[0]; + d2 = pState[1]; + + /* Apply loop unrolling and compute 4 output values simultaneously. */ + sample = blockSize >> 2U; + + /* First part of the processing with loop unrolling. Compute 4 outputs at a time. + ** a second loop below computes the remaining 1 to 3 samples. */ + while (sample > 0U) { + + /* y[n] = b0 * x[n] + d1 */ + /* d1 = b1 * x[n] + a1 * y[n] + d2 */ + /* d2 = b2 * x[n] + a2 * y[n] */ + + /* Read the four inputs */ + Xn1 = pIn[0]; + Xn2 = pIn[1]; + Xn3 = pIn[2]; + Xn4 = pIn[3]; + pIn += 4; + + p0 = b0 * Xn1; + p1 = b1 * Xn1; + acc1 = p0 + d1; + p0 = b0 * Xn2; + p3 = a1 * acc1; + p2 = b2 * Xn1; + A1 = p1 + p3; + p4 = a2 * acc1; + d1 = A1 + d2; + d2 = p2 + p4; + + p1 = b1 * Xn2; + acc2 = p0 + d1; + p0 = b0 * Xn3; + p3 = a1 * acc2; + p2 = b2 * Xn2; + A1 = p1 + p3; + p4 = a2 * acc2; + d1 = A1 + d2; + d2 = p2 + p4; + + p1 = b1 * Xn3; + acc3 = p0 + d1; + p0 = b0 * Xn4; + p3 = a1 * acc3; + p2 = b2 * Xn3; + A1 = p1 + p3; + p4 = a2 * acc3; + d1 = A1 + d2; + d2 = p2 + p4; + + acc4 = p0 + d1; + p1 = b1 * Xn4; + p3 = a1 * acc4; + p2 = b2 * Xn4; + A1 = p1 + p3; + p4 = a2 * acc4; + d1 = A1 + d2; + d2 = p2 + p4; + + pOut[0] = acc1; + pOut[1] = acc2; + pOut[2] = acc3; + pOut[3] = acc4; + pOut += 4; + + sample--; + } + + sample = blockSize & 0x3U; + while (sample > 0U) { + Xn1 = *pIn++; + + p0 = b0 * Xn1; + p1 = b1 * Xn1; + acc1 = p0 + d1; + p3 = a1 * acc1; + p2 = b2 * Xn1; + A1 = p1 + p3; + p4 = a2 * acc1; + d1 = A1 + d2; + d2 = p2 + p4; + + *pOut++ = acc1; + + sample--; + } + + /* Store the updated state variables back into the state array */ + *pState++ = d1; + *pState++ = d2; + + /* The current stage input is given as the output to the next stage */ + pIn = pDst; + + /*Reset the output working pointer */ + pOut = pDst; + + /* decrement the loop counter */ + stage--; + + } while (stage > 0U); + +#endif + +} +LOW_OPTIMIZATION_EXIT + +/** + * @} end of BiquadCascadeDF2T group + */ diff --git a/fw/hid-dials/Drivers/CMSIS/DSP/Source/FilteringFunctions/arm_biquad_cascade_df2T_init_f32.c b/fw/hid-dials/Drivers/CMSIS/DSP/Source/FilteringFunctions/arm_biquad_cascade_df2T_init_f32.c new file mode 100644 index 0000000..6dfc985 --- /dev/null +++ b/fw/hid-dials/Drivers/CMSIS/DSP/Source/FilteringFunctions/arm_biquad_cascade_df2T_init_f32.c @@ -0,0 +1,89 @@ +/* ---------------------------------------------------------------------- + * Project: CMSIS DSP Library + * Title: arm_biquad_cascade_df2T_init_f32.c + * Description: Initialization function for floating-point transposed direct form II Biquad cascade filter + * + * $Date: 27. January 2017 + * $Revision: V.1.5.1 + * + * Target Processor: Cortex-M cores + * -------------------------------------------------------------------- */ +/* + * Copyright (C) 2010-2017 ARM Limited or its affiliates. All rights reserved. + * + * SPDX-License-Identifier: Apache-2.0 + * + * Licensed under the Apache License, Version 2.0 (the License); you may + * not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an AS IS BASIS, WITHOUT + * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ + +#include "arm_math.h" + +/** + * @ingroup groupFilters + */ + +/** + * @addtogroup BiquadCascadeDF2T + * @{ + */ + +/** + * @brief Initialization function for the floating-point transposed direct form II Biquad cascade filter. + * @param[in,out] *S points to an instance of the filter data structure. + * @param[in] numStages number of 2nd order stages in the filter. + * @param[in] *pCoeffs points to the filter coefficients. + * @param[in] *pState points to the state buffer. + * @return none + * + * Coefficient and State Ordering: + * \par + * The coefficients are stored in the array pCoeffs in the following order: + *
+ *     {b10, b11, b12, a11, a12, b20, b21, b22, a21, a22, ...}
+ * 
+ * + * \par + * where b1x and a1x are the coefficients for the first stage, + * b2x and a2x are the coefficients for the second stage, + * and so on. The pCoeffs array contains a total of 5*numStages values. + * + * \par + * The pState is a pointer to state array. + * Each Biquad stage has 2 state variables d1, and d2. + * The 2 state variables for stage 1 are first, then the 2 state variables for stage 2, and so on. + * The state array has a total length of 2*numStages values. + * The state variables are updated after each block of data is processed; the coefficients are untouched. + */ + +void arm_biquad_cascade_df2T_init_f32( + arm_biquad_cascade_df2T_instance_f32 * S, + uint8_t numStages, + float32_t * pCoeffs, + float32_t * pState) +{ + /* Assign filter stages */ + S->numStages = numStages; + + /* Assign coefficient pointer */ + S->pCoeffs = pCoeffs; + + /* Clear state buffer and size is always 2 * numStages */ + memset(pState, 0, (2U * (uint32_t) numStages) * sizeof(float32_t)); + + /* Assign state pointer */ + S->pState = pState; +} + +/** + * @} end of BiquadCascadeDF2T group + */ diff --git a/fw/hid-dials/Drivers/CMSIS/DSP/Source/FilteringFunctions/arm_biquad_cascade_df2T_init_f64.c b/fw/hid-dials/Drivers/CMSIS/DSP/Source/FilteringFunctions/arm_biquad_cascade_df2T_init_f64.c new file mode 100644 index 0000000..8141da5 --- /dev/null +++ b/fw/hid-dials/Drivers/CMSIS/DSP/Source/FilteringFunctions/arm_biquad_cascade_df2T_init_f64.c @@ -0,0 +1,89 @@ +/* ---------------------------------------------------------------------- + * Project: CMSIS DSP Library + * Title: arm_biquad_cascade_df2T_init_f64.c + * Description: Initialization function for floating-point transposed direct form II Biquad cascade filter + * + * $Date: 27. January 2017 + * $Revision: V.1.5.1 + * + * Target Processor: Cortex-M cores + * -------------------------------------------------------------------- */ +/* + * Copyright (C) 2010-2017 ARM Limited or its affiliates. All rights reserved. + * + * SPDX-License-Identifier: Apache-2.0 + * + * Licensed under the Apache License, Version 2.0 (the License); you may + * not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an AS IS BASIS, WITHOUT + * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ + +#include "arm_math.h" + +/** + * @ingroup groupFilters + */ + +/** + * @addtogroup BiquadCascadeDF2T + * @{ + */ + +/** + * @brief Initialization function for the floating-point transposed direct form II Biquad cascade filter. + * @param[in,out] *S points to an instance of the filter data structure. + * @param[in] numStages number of 2nd order stages in the filter. + * @param[in] *pCoeffs points to the filter coefficients. + * @param[in] *pState points to the state buffer. + * @return none + * + * Coefficient and State Ordering: + * \par + * The coefficients are stored in the array pCoeffs in the following order: + *
+ *     {b10, b11, b12, a11, a12, b20, b21, b22, a21, a22, ...}
+ * 
+ * + * \par + * where b1x and a1x are the coefficients for the first stage, + * b2x and a2x are the coefficients for the second stage, + * and so on. The pCoeffs array contains a total of 5*numStages values. + * + * \par + * The pState is a pointer to state array. + * Each Biquad stage has 2 state variables d1, and d2. + * The 2 state variables for stage 1 are first, then the 2 state variables for stage 2, and so on. + * The state array has a total length of 2*numStages values. + * The state variables are updated after each block of data is processed; the coefficients are untouched. + */ + +void arm_biquad_cascade_df2T_init_f64( + arm_biquad_cascade_df2T_instance_f64 * S, + uint8_t numStages, + float64_t * pCoeffs, + float64_t * pState) +{ + /* Assign filter stages */ + S->numStages = numStages; + + /* Assign coefficient pointer */ + S->pCoeffs = pCoeffs; + + /* Clear state buffer and size is always 2 * numStages */ + memset(pState, 0, (2U * (uint32_t) numStages) * sizeof(float64_t)); + + /* Assign state pointer */ + S->pState = pState; +} + +/** + * @} end of BiquadCascadeDF2T group + */ diff --git a/fw/hid-dials/Drivers/CMSIS/DSP/Source/FilteringFunctions/arm_biquad_cascade_stereo_df2T_f32.c b/fw/hid-dials/Drivers/CMSIS/DSP/Source/FilteringFunctions/arm_biquad_cascade_stereo_df2T_f32.c new file mode 100644 index 0000000..36084e5 --- /dev/null +++ b/fw/hid-dials/Drivers/CMSIS/DSP/Source/FilteringFunctions/arm_biquad_cascade_stereo_df2T_f32.c @@ -0,0 +1,670 @@ +/* ---------------------------------------------------------------------- + * Project: CMSIS DSP Library + * Title: arm_biquad_cascade_stereo_df2T_f32.c + * Description: Processing function for floating-point transposed direct form II Biquad cascade filter. 2 channels + * + * $Date: 27. January 2017 + * $Revision: V.1.5.1 + * + * Target Processor: Cortex-M cores + * -------------------------------------------------------------------- */ +/* + * Copyright (C) 2010-2017 ARM Limited or its affiliates. All rights reserved. + * + * SPDX-License-Identifier: Apache-2.0 + * + * Licensed under the Apache License, Version 2.0 (the License); you may + * not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an AS IS BASIS, WITHOUT + * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ + +#include "arm_math.h" + +/** +* @ingroup groupFilters +*/ + +/** +* @defgroup BiquadCascadeDF2T Biquad Cascade IIR Filters Using a Direct Form II Transposed Structure +* +* This set of functions implements arbitrary order recursive (IIR) filters using a transposed direct form II structure. +* The filters are implemented as a cascade of second order Biquad sections. +* These functions provide a slight memory savings as compared to the direct form I Biquad filter functions. +* Only floating-point data is supported. +* +* This function operate on blocks of input and output data and each call to the function +* processes blockSize samples through the filter. +* pSrc points to the array of input data and +* pDst points to the array of output data. +* Both arrays contain blockSize values. +* +* \par Algorithm +* Each Biquad stage implements a second order filter using the difference equation: +*
+*    y[n] = b0 * x[n] + d1
+*    d1 = b1 * x[n] + a1 * y[n] + d2
+*    d2 = b2 * x[n] + a2 * y[n]
+* 
+* where d1 and d2 represent the two state values. +* +* \par +* A Biquad filter using a transposed Direct Form II structure is shown below. +* \image html BiquadDF2Transposed.gif "Single transposed Direct Form II Biquad" +* Coefficients b0, b1, and b2 multiply the input signal x[n] and are referred to as the feedforward coefficients. +* Coefficients a1 and a2 multiply the output signal y[n] and are referred to as the feedback coefficients. +* Pay careful attention to the sign of the feedback coefficients. +* Some design tools flip the sign of the feedback coefficients: +*
+*    y[n] = b0 * x[n] + d1;
+*    d1 = b1 * x[n] - a1 * y[n] + d2;
+*    d2 = b2 * x[n] - a2 * y[n];
+* 
+* In this case the feedback coefficients a1 and a2 must be negated when used with the CMSIS DSP Library. +* +* \par +* Higher order filters are realized as a cascade of second order sections. +* numStages refers to the number of second order stages used. +* For example, an 8th order filter would be realized with numStages=4 second order stages. +* A 9th order filter would be realized with numStages=5 second order stages with the +* coefficients for one of the stages configured as a first order filter (b2=0 and a2=0). +* +* \par +* pState points to the state variable array. +* Each Biquad stage has 2 state variables d1 and d2. +* The state variables are arranged in the pState array as: +*
+*     {d11, d12, d21, d22, ...}
+* 
+* where d1x refers to the state variables for the first Biquad and +* d2x refers to the state variables for the second Biquad. +* The state array has a total length of 2*numStages values. +* The state variables are updated after each block of data is processed; the coefficients are untouched. +* +* \par +* The CMSIS library contains Biquad filters in both Direct Form I and transposed Direct Form II. +* The advantage of the Direct Form I structure is that it is numerically more robust for fixed-point data types. +* That is why the Direct Form I structure supports Q15 and Q31 data types. +* The transposed Direct Form II structure, on the other hand, requires a wide dynamic range for the state variables d1 and d2. +* Because of this, the CMSIS library only has a floating-point version of the Direct Form II Biquad. +* The advantage of the Direct Form II Biquad is that it requires half the number of state variables, 2 rather than 4, per Biquad stage. +* +* \par Instance Structure +* The coefficients and state variables for a filter are stored together in an instance data structure. +* A separate instance structure must be defined for each filter. +* Coefficient arrays may be shared among several instances while state variable arrays cannot be shared. +* +* \par Init Functions +* There is also an associated initialization function. +* The initialization function performs following operations: +* - Sets the values of the internal structure fields. +* - Zeros out the values in the state buffer. +* To do this manually without calling the init function, assign the follow subfields of the instance structure: +* numStages, pCoeffs, pState. Also set all of the values in pState to zero. +* +* \par +* Use of the initialization function is optional. +* However, if the initialization function is used, then the instance structure cannot be placed into a const data section. +* To place an instance structure into a const data section, the instance structure must be manually initialized. +* Set the values in the state buffer to zeros before static initialization. +* For example, to statically initialize the instance structure use +*
+*     arm_biquad_cascade_df2T_instance_f32 S1 = {numStages, pState, pCoeffs};
+* 
+* where numStages is the number of Biquad stages in the filter; pState is the address of the state buffer. +* pCoeffs is the address of the coefficient buffer; +* +*/ + +/** +* @addtogroup BiquadCascadeDF2T +* @{ +*/ + +/** +* @brief Processing function for the floating-point transposed direct form II Biquad cascade filter. +* @param[in] *S points to an instance of the filter data structure. +* @param[in] *pSrc points to the block of input data. +* @param[out] *pDst points to the block of output data +* @param[in] blockSize number of samples to process. +* @return none. +*/ + + +LOW_OPTIMIZATION_ENTER +void arm_biquad_cascade_stereo_df2T_f32( +const arm_biquad_cascade_stereo_df2T_instance_f32 * S, +float32_t * pSrc, +float32_t * pDst, +uint32_t blockSize) +{ + + float32_t *pIn = pSrc; /* source pointer */ + float32_t *pOut = pDst; /* destination pointer */ + float32_t *pState = S->pState; /* State pointer */ + float32_t *pCoeffs = S->pCoeffs; /* coefficient pointer */ + float32_t acc1a, acc1b; /* accumulator */ + float32_t b0, b1, b2, a1, a2; /* Filter coefficients */ + float32_t Xn1a, Xn1b; /* temporary input */ + float32_t d1a, d2a, d1b, d2b; /* state variables */ + uint32_t sample, stage = S->numStages; /* loop counters */ + +#if defined(ARM_MATH_CM7) + + float32_t Xn2a, Xn3a, Xn4a, Xn5a, Xn6a, Xn7a, Xn8a; /* Input State variables */ + float32_t Xn2b, Xn3b, Xn4b, Xn5b, Xn6b, Xn7b, Xn8b; /* Input State variables */ + float32_t acc2a, acc3a, acc4a, acc5a, acc6a, acc7a, acc8a; /* Simulates the accumulator */ + float32_t acc2b, acc3b, acc4b, acc5b, acc6b, acc7b, acc8b; /* Simulates the accumulator */ + + do + { + /* Reading the coefficients */ + b0 = pCoeffs[0]; + b1 = pCoeffs[1]; + b2 = pCoeffs[2]; + a1 = pCoeffs[3]; + /* Apply loop unrolling and compute 8 output values simultaneously. */ + sample = blockSize >> 3U; + a2 = pCoeffs[4]; + + /*Reading the state values */ + d1a = pState[0]; + d2a = pState[1]; + d1b = pState[2]; + d2b = pState[3]; + + pCoeffs += 5U; + + /* First part of the processing with loop unrolling. Compute 8 outputs at a time. + ** a second loop below computes the remaining 1 to 7 samples. */ + while (sample > 0U) { + + /* y[n] = b0 * x[n] + d1 */ + /* d1 = b1 * x[n] + a1 * y[n] + d2 */ + /* d2 = b2 * x[n] + a2 * y[n] */ + + /* Read the first 2 inputs. 2 cycles */ + Xn1a = pIn[0 ]; + Xn1b = pIn[1 ]; + + /* Sample 1. 5 cycles */ + Xn2a = pIn[2 ]; + acc1a = b0 * Xn1a + d1a; + + Xn2b = pIn[3 ]; + d1a = b1 * Xn1a + d2a; + + Xn3a = pIn[4 ]; + d2a = b2 * Xn1a; + + Xn3b = pIn[5 ]; + d1a += a1 * acc1a; + + Xn4a = pIn[6 ]; + d2a += a2 * acc1a; + + /* Sample 2. 5 cycles */ + Xn4b = pIn[7 ]; + acc1b = b0 * Xn1b + d1b; + + Xn5a = pIn[8 ]; + d1b = b1 * Xn1b + d2b; + + Xn5b = pIn[9 ]; + d2b = b2 * Xn1b; + + Xn6a = pIn[10]; + d1b += a1 * acc1b; + + Xn6b = pIn[11]; + d2b += a2 * acc1b; + + /* Sample 3. 5 cycles */ + Xn7a = pIn[12]; + acc2a = b0 * Xn2a + d1a; + + Xn7b = pIn[13]; + d1a = b1 * Xn2a + d2a; + + Xn8a = pIn[14]; + d2a = b2 * Xn2a; + + Xn8b = pIn[15]; + d1a += a1 * acc2a; + + pIn += 16; + d2a += a2 * acc2a; + + /* Sample 4. 5 cycles */ + acc2b = b0 * Xn2b + d1b; + d1b = b1 * Xn2b + d2b; + d2b = b2 * Xn2b; + d1b += a1 * acc2b; + d2b += a2 * acc2b; + + /* Sample 5. 5 cycles */ + acc3a = b0 * Xn3a + d1a; + d1a = b1 * Xn3a + d2a; + d2a = b2 * Xn3a; + d1a += a1 * acc3a; + d2a += a2 * acc3a; + + /* Sample 6. 5 cycles */ + acc3b = b0 * Xn3b + d1b; + d1b = b1 * Xn3b + d2b; + d2b = b2 * Xn3b; + d1b += a1 * acc3b; + d2b += a2 * acc3b; + + /* Sample 7. 5 cycles */ + acc4a = b0 * Xn4a + d1a; + d1a = b1 * Xn4a + d2a; + d2a = b2 * Xn4a; + d1a += a1 * acc4a; + d2a += a2 * acc4a; + + /* Sample 8. 5 cycles */ + acc4b = b0 * Xn4b + d1b; + d1b = b1 * Xn4b + d2b; + d2b = b2 * Xn4b; + d1b += a1 * acc4b; + d2b += a2 * acc4b; + + /* Sample 9. 5 cycles */ + acc5a = b0 * Xn5a + d1a; + d1a = b1 * Xn5a + d2a; + d2a = b2 * Xn5a; + d1a += a1 * acc5a; + d2a += a2 * acc5a; + + /* Sample 10. 5 cycles */ + acc5b = b0 * Xn5b + d1b; + d1b = b1 * Xn5b + d2b; + d2b = b2 * Xn5b; + d1b += a1 * acc5b; + d2b += a2 * acc5b; + + /* Sample 11. 5 cycles */ + acc6a = b0 * Xn6a + d1a; + d1a = b1 * Xn6a + d2a; + d2a = b2 * Xn6a; + d1a += a1 * acc6a; + d2a += a2 * acc6a; + + /* Sample 12. 5 cycles */ + acc6b = b0 * Xn6b + d1b; + d1b = b1 * Xn6b + d2b; + d2b = b2 * Xn6b; + d1b += a1 * acc6b; + d2b += a2 * acc6b; + + /* Sample 13. 5 cycles */ + acc7a = b0 * Xn7a + d1a; + d1a = b1 * Xn7a + d2a; + + pOut[0 ] = acc1a ; + d2a = b2 * Xn7a; + + pOut[1 ] = acc1b ; + d1a += a1 * acc7a; + + pOut[2 ] = acc2a ; + d2a += a2 * acc7a; + + /* Sample 14. 5 cycles */ + pOut[3 ] = acc2b ; + acc7b = b0 * Xn7b + d1b; + + pOut[4 ] = acc3a ; + d1b = b1 * Xn7b + d2b; + + pOut[5 ] = acc3b ; + d2b = b2 * Xn7b; + + pOut[6 ] = acc4a ; + d1b += a1 * acc7b; + + pOut[7 ] = acc4b ; + d2b += a2 * acc7b; + + /* Sample 15. 5 cycles */ + pOut[8 ] = acc5a ; + acc8a = b0 * Xn8a + d1a; + + pOut[9 ] = acc5b; + d1a = b1 * Xn8a + d2a; + + pOut[10] = acc6a; + d2a = b2 * Xn8a; + + pOut[11] = acc6b; + d1a += a1 * acc8a; + + pOut[12] = acc7a; + d2a += a2 * acc8a; + + /* Sample 16. 5 cycles */ + pOut[13] = acc7b; + acc8b = b0 * Xn8b + d1b; + + pOut[14] = acc8a; + d1b = b1 * Xn8b + d2b; + + pOut[15] = acc8b; + d2b = b2 * Xn8b; + + sample--; + d1b += a1 * acc8b; + + pOut += 16; + d2b += a2 * acc8b; + } + + sample = blockSize & 0x7U; + while (sample > 0U) { + /* Read the input */ + Xn1a = *pIn++; //Channel a + Xn1b = *pIn++; //Channel b + + /* y[n] = b0 * x[n] + d1 */ + acc1a = (b0 * Xn1a) + d1a; + acc1b = (b0 * Xn1b) + d1b; + + /* Store the result in the accumulator in the destination buffer. */ + *pOut++ = acc1a; + *pOut++ = acc1b; + + /* Every time after the output is computed state should be updated. */ + /* d1 = b1 * x[n] + a1 * y[n] + d2 */ + d1a = ((b1 * Xn1a) + (a1 * acc1a)) + d2a; + d1b = ((b1 * Xn1b) + (a1 * acc1b)) + d2b; + + /* d2 = b2 * x[n] + a2 * y[n] */ + d2a = (b2 * Xn1a) + (a2 * acc1a); + d2b = (b2 * Xn1b) + (a2 * acc1b); + + sample--; + } + + /* Store the updated state variables back into the state array */ + pState[0] = d1a; + pState[1] = d2a; + + pState[2] = d1b; + pState[3] = d2b; + + /* The current stage input is given as the output to the next stage */ + pIn = pDst; + /* decrement the loop counter */ + stage--; + + pState += 4U; + /*Reset the output working pointer */ + pOut = pDst; + + } while (stage > 0U); + +#elif defined(ARM_MATH_CM0_FAMILY) + + /* Run the below code for Cortex-M0 */ + + do + { + /* Reading the coefficients */ + b0 = *pCoeffs++; + b1 = *pCoeffs++; + b2 = *pCoeffs++; + a1 = *pCoeffs++; + a2 = *pCoeffs++; + + /*Reading the state values */ + d1a = pState[0]; + d2a = pState[1]; + d1b = pState[2]; + d2b = pState[3]; + + + sample = blockSize; + + while (sample > 0U) + { + /* Read the input */ + Xn1a = *pIn++; //Channel a + Xn1b = *pIn++; //Channel b + + /* y[n] = b0 * x[n] + d1 */ + acc1a = (b0 * Xn1a) + d1a; + acc1b = (b0 * Xn1b) + d1b; + + /* Store the result in the accumulator in the destination buffer. */ + *pOut++ = acc1a; + *pOut++ = acc1b; + + /* Every time after the output is computed state should be updated. */ + /* d1 = b1 * x[n] + a1 * y[n] + d2 */ + d1a = ((b1 * Xn1a) + (a1 * acc1a)) + d2a; + d1b = ((b1 * Xn1b) + (a1 * acc1b)) + d2b; + + /* d2 = b2 * x[n] + a2 * y[n] */ + d2a = (b2 * Xn1a) + (a2 * acc1a); + d2b = (b2 * Xn1b) + (a2 * acc1b); + + /* decrement the loop counter */ + sample--; + } + + /* Store the updated state variables back into the state array */ + *pState++ = d1a; + *pState++ = d2a; + *pState++ = d1b; + *pState++ = d2b; + + /* The current stage input is given as the output to the next stage */ + pIn = pDst; + + /*Reset the output working pointer */ + pOut = pDst; + + /* decrement the loop counter */ + stage--; + + } while (stage > 0U); + +#else + + float32_t Xn2a, Xn3a, Xn4a; /* Input State variables */ + float32_t Xn2b, Xn3b, Xn4b; /* Input State variables */ + float32_t acc2a, acc3a, acc4a; /* accumulator */ + float32_t acc2b, acc3b, acc4b; /* accumulator */ + float32_t p0a, p1a, p2a, p3a, p4a, A1a; + float32_t p0b, p1b, p2b, p3b, p4b, A1b; + + /* Run the below code for Cortex-M4 and Cortex-M3 */ + do + { + /* Reading the coefficients */ + b0 = *pCoeffs++; + b1 = *pCoeffs++; + b2 = *pCoeffs++; + a1 = *pCoeffs++; + a2 = *pCoeffs++; + + /*Reading the state values */ + d1a = pState[0]; + d2a = pState[1]; + d1b = pState[2]; + d2b = pState[3]; + + /* Apply loop unrolling and compute 4 output values simultaneously. */ + sample = blockSize >> 2U; + + /* First part of the processing with loop unrolling. Compute 4 outputs at a time. + ** a second loop below computes the remaining 1 to 3 samples. */ + while (sample > 0U) { + + /* y[n] = b0 * x[n] + d1 */ + /* d1 = b1 * x[n] + a1 * y[n] + d2 */ + /* d2 = b2 * x[n] + a2 * y[n] */ + + /* Read the four inputs */ + Xn1a = pIn[0]; + Xn1b = pIn[1]; + Xn2a = pIn[2]; + Xn2b = pIn[3]; + Xn3a = pIn[4]; + Xn3b = pIn[5]; + Xn4a = pIn[6]; + Xn4b = pIn[7]; + pIn += 8; + + p0a = b0 * Xn1a; + p0b = b0 * Xn1b; + p1a = b1 * Xn1a; + p1b = b1 * Xn1b; + acc1a = p0a + d1a; + acc1b = p0b + d1b; + p0a = b0 * Xn2a; + p0b = b0 * Xn2b; + p3a = a1 * acc1a; + p3b = a1 * acc1b; + p2a = b2 * Xn1a; + p2b = b2 * Xn1b; + A1a = p1a + p3a; + A1b = p1b + p3b; + p4a = a2 * acc1a; + p4b = a2 * acc1b; + d1a = A1a + d2a; + d1b = A1b + d2b; + d2a = p2a + p4a; + d2b = p2b + p4b; + + p1a = b1 * Xn2a; + p1b = b1 * Xn2b; + acc2a = p0a + d1a; + acc2b = p0b + d1b; + p0a = b0 * Xn3a; + p0b = b0 * Xn3b; + p3a = a1 * acc2a; + p3b = a1 * acc2b; + p2a = b2 * Xn2a; + p2b = b2 * Xn2b; + A1a = p1a + p3a; + A1b = p1b + p3b; + p4a = a2 * acc2a; + p4b = a2 * acc2b; + d1a = A1a + d2a; + d1b = A1b + d2b; + d2a = p2a + p4a; + d2b = p2b + p4b; + + p1a = b1 * Xn3a; + p1b = b1 * Xn3b; + acc3a = p0a + d1a; + acc3b = p0b + d1b; + p0a = b0 * Xn4a; + p0b = b0 * Xn4b; + p3a = a1 * acc3a; + p3b = a1 * acc3b; + p2a = b2 * Xn3a; + p2b = b2 * Xn3b; + A1a = p1a + p3a; + A1b = p1b + p3b; + p4a = a2 * acc3a; + p4b = a2 * acc3b; + d1a = A1a + d2a; + d1b = A1b + d2b; + d2a = p2a + p4a; + d2b = p2b + p4b; + + acc4a = p0a + d1a; + acc4b = p0b + d1b; + p1a = b1 * Xn4a; + p1b = b1 * Xn4b; + p3a = a1 * acc4a; + p3b = a1 * acc4b; + p2a = b2 * Xn4a; + p2b = b2 * Xn4b; + A1a = p1a + p3a; + A1b = p1b + p3b; + p4a = a2 * acc4a; + p4b = a2 * acc4b; + d1a = A1a + d2a; + d1b = A1b + d2b; + d2a = p2a + p4a; + d2b = p2b + p4b; + + pOut[0] = acc1a; + pOut[1] = acc1b; + pOut[2] = acc2a; + pOut[3] = acc2b; + pOut[4] = acc3a; + pOut[5] = acc3b; + pOut[6] = acc4a; + pOut[7] = acc4b; + pOut += 8; + + sample--; + } + + sample = blockSize & 0x3U; + while (sample > 0U) { + Xn1a = *pIn++; + Xn1b = *pIn++; + + p0a = b0 * Xn1a; + p0b = b0 * Xn1b; + p1a = b1 * Xn1a; + p1b = b1 * Xn1b; + acc1a = p0a + d1a; + acc1b = p0b + d1b; + p3a = a1 * acc1a; + p3b = a1 * acc1b; + p2a = b2 * Xn1a; + p2b = b2 * Xn1b; + A1a = p1a + p3a; + A1b = p1b + p3b; + p4a = a2 * acc1a; + p4b = a2 * acc1b; + d1a = A1a + d2a; + d1b = A1b + d2b; + d2a = p2a + p4a; + d2b = p2b + p4b; + + *pOut++ = acc1a; + *pOut++ = acc1b; + + sample--; + } + + /* Store the updated state variables back into the state array */ + *pState++ = d1a; + *pState++ = d2a; + *pState++ = d1b; + *pState++ = d2b; + + /* The current stage input is given as the output to the next stage */ + pIn = pDst; + + /*Reset the output working pointer */ + pOut = pDst; + + /* decrement the loop counter */ + stage--; + + } while (stage > 0U); + +#endif + +} +LOW_OPTIMIZATION_EXIT + +/** + * @} end of BiquadCascadeDF2T group + */ diff --git a/fw/hid-dials/Drivers/CMSIS/DSP/Source/FilteringFunctions/arm_biquad_cascade_stereo_df2T_init_f32.c b/fw/hid-dials/Drivers/CMSIS/DSP/Source/FilteringFunctions/arm_biquad_cascade_stereo_df2T_init_f32.c new file mode 100644 index 0000000..b847c6e --- /dev/null +++ b/fw/hid-dials/Drivers/CMSIS/DSP/Source/FilteringFunctions/arm_biquad_cascade_stereo_df2T_init_f32.c @@ -0,0 +1,89 @@ +/* ---------------------------------------------------------------------- + * Project: CMSIS DSP Library + * Title: arm_biquad_cascade_stereo_df2T_init_f32.c + * Description: Initialization function for floating-point transposed direct form II Biquad cascade filter + * + * $Date: 27. January 2017 + * $Revision: V.1.5.1 + * + * Target Processor: Cortex-M cores + * -------------------------------------------------------------------- */ +/* + * Copyright (C) 2010-2017 ARM Limited or its affiliates. All rights reserved. + * + * SPDX-License-Identifier: Apache-2.0 + * + * Licensed under the Apache License, Version 2.0 (the License); you may + * not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an AS IS BASIS, WITHOUT + * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ + +#include "arm_math.h" + +/** + * @ingroup groupFilters + */ + +/** + * @addtogroup BiquadCascadeDF2T + * @{ + */ + +/** + * @brief Initialization function for the floating-point transposed direct form II Biquad cascade filter. + * @param[in,out] *S points to an instance of the filter data structure. + * @param[in] numStages number of 2nd order stages in the filter. + * @param[in] *pCoeffs points to the filter coefficients. + * @param[in] *pState points to the state buffer. + * @return none + * + * Coefficient and State Ordering: + * \par + * The coefficients are stored in the array pCoeffs in the following order: + *
+ *     {b10, b11, b12, a11, a12, b20, b21, b22, a21, a22, ...}
+ * 
+ * + * \par + * where b1x and a1x are the coefficients for the first stage, + * b2x and a2x are the coefficients for the second stage, + * and so on. The pCoeffs array contains a total of 5*numStages values. + * + * \par + * The pState is a pointer to state array. + * Each Biquad stage has 2 state variables d1, and d2 for each channel. + * The 2 state variables for stage 1 are first, then the 2 state variables for stage 2, and so on. + * The state array has a total length of 2*numStages values. + * The state variables are updated after each block of data is processed; the coefficients are untouched. + */ + +void arm_biquad_cascade_stereo_df2T_init_f32( + arm_biquad_cascade_stereo_df2T_instance_f32 * S, + uint8_t numStages, + float32_t * pCoeffs, + float32_t * pState) +{ + /* Assign filter stages */ + S->numStages = numStages; + + /* Assign coefficient pointer */ + S->pCoeffs = pCoeffs; + + /* Clear state buffer and size is always 4 * numStages */ + memset(pState, 0, (4U * (uint32_t) numStages) * sizeof(float32_t)); + + /* Assign state pointer */ + S->pState = pState; +} + +/** + * @} end of BiquadCascadeDF2T group + */ diff --git a/fw/hid-dials/Drivers/CMSIS/DSP/Source/FilteringFunctions/arm_conv_f32.c b/fw/hid-dials/Drivers/CMSIS/DSP/Source/FilteringFunctions/arm_conv_f32.c new file mode 100644 index 0000000..906f7ab --- /dev/null +++ b/fw/hid-dials/Drivers/CMSIS/DSP/Source/FilteringFunctions/arm_conv_f32.c @@ -0,0 +1,635 @@ +/* ---------------------------------------------------------------------- + * Project: CMSIS DSP Library + * Title: arm_conv_f32.c + * Description: Convolution of floating-point sequences + * + * $Date: 27. January 2017 + * $Revision: V.1.5.1 + * + * Target Processor: Cortex-M cores + * -------------------------------------------------------------------- */ +/* + * Copyright (C) 2010-2017 ARM Limited or its affiliates. All rights reserved. + * + * SPDX-License-Identifier: Apache-2.0 + * + * Licensed under the Apache License, Version 2.0 (the License); you may + * not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an AS IS BASIS, WITHOUT + * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ + +#include "arm_math.h" + +/** + * @ingroup groupFilters + */ + +/** + * @defgroup Conv Convolution + * + * Convolution is a mathematical operation that operates on two finite length vectors to generate a finite length output vector. + * Convolution is similar to correlation and is frequently used in filtering and data analysis. + * The CMSIS DSP library contains functions for convolving Q7, Q15, Q31, and floating-point data types. + * The library also provides fast versions of the Q15 and Q31 functions on Cortex-M4 and Cortex-M3. + * + * \par Algorithm + * Let a[n] and b[n] be sequences of length srcALen and srcBLen samples respectively. + * Then the convolution + * + *
+ *                   c[n] = a[n] * b[n]
+ * 
+ * + * \par + * is defined as + * \image html ConvolutionEquation.gif + * \par + * Note that c[n] is of length srcALen + srcBLen - 1 and is defined over the interval n=0, 1, 2, ..., srcALen + srcBLen - 2. + * pSrcA points to the first input vector of length srcALen and + * pSrcB points to the second input vector of length srcBLen. + * The output result is written to pDst and the calling function must allocate srcALen+srcBLen-1 words for the result. + * + * \par + * Conceptually, when two signals a[n] and b[n] are convolved, + * the signal b[n] slides over a[n]. + * For each offset \c n, the overlapping portions of a[n] and b[n] are multiplied and summed together. + * + * \par + * Note that convolution is a commutative operation: + * + *
+ *                   a[n] * b[n] = b[n] * a[n].
+ * 
+ * + * \par + * This means that switching the A and B arguments to the convolution functions has no effect. + * + * Fixed-Point Behavior + * + * \par + * Convolution requires summing up a large number of intermediate products. + * As such, the Q7, Q15, and Q31 functions run a risk of overflow and saturation. + * Refer to the function specific documentation below for further details of the particular algorithm used. + * + * + * Fast Versions + * + * \par + * Fast versions are supported for Q31 and Q15. Cycles for Fast versions are less compared to Q31 and Q15 of conv and the design requires + * the input signals should be scaled down to avoid intermediate overflows. + * + * + * Opt Versions + * + * \par + * Opt versions are supported for Q15 and Q7. Design uses internal scratch buffer for getting good optimisation. + * These versions are optimised in cycles and consumes more memory(Scratch memory) compared to Q15 and Q7 versions + */ + +/** + * @addtogroup Conv + * @{ + */ + +/** + * @brief Convolution of floating-point sequences. + * @param[in] *pSrcA points to the first input sequence. + * @param[in] srcALen length of the first input sequence. + * @param[in] *pSrcB points to the second input sequence. + * @param[in] srcBLen length of the second input sequence. + * @param[out] *pDst points to the location where the output result is written. Length srcALen+srcBLen-1. + * @return none. + */ + +void arm_conv_f32( + float32_t * pSrcA, + uint32_t srcALen, + float32_t * pSrcB, + uint32_t srcBLen, + float32_t * pDst) +{ + + +#if defined (ARM_MATH_DSP) + + /* Run the below code for Cortex-M4 and Cortex-M3 */ + + float32_t *pIn1; /* inputA pointer */ + float32_t *pIn2; /* inputB pointer */ + float32_t *pOut = pDst; /* output pointer */ + float32_t *px; /* Intermediate inputA pointer */ + float32_t *py; /* Intermediate inputB pointer */ + float32_t *pSrc1, *pSrc2; /* Intermediate pointers */ + float32_t sum, acc0, acc1, acc2, acc3; /* Accumulator */ + float32_t x0, x1, x2, x3, c0; /* Temporary variables to hold state and coefficient values */ + uint32_t j, k, count, blkCnt, blockSize1, blockSize2, blockSize3; /* loop counters */ + + /* The algorithm implementation is based on the lengths of the inputs. */ + /* srcB is always made to slide across srcA. */ + /* So srcBLen is always considered as shorter or equal to srcALen */ + if (srcALen >= srcBLen) + { + /* Initialization of inputA pointer */ + pIn1 = pSrcA; + + /* Initialization of inputB pointer */ + pIn2 = pSrcB; + } + else + { + /* Initialization of inputA pointer */ + pIn1 = pSrcB; + + /* Initialization of inputB pointer */ + pIn2 = pSrcA; + + /* srcBLen is always considered as shorter or equal to srcALen */ + j = srcBLen; + srcBLen = srcALen; + srcALen = j; + } + + /* conv(x,y) at n = x[n] * y[0] + x[n-1] * y[1] + x[n-2] * y[2] + ...+ x[n-N+1] * y[N -1] */ + /* The function is internally + * divided into three stages according to the number of multiplications that has to be + * taken place between inputA samples and inputB samples. In the first stage of the + * algorithm, the multiplications increase by one for every iteration. + * In the second stage of the algorithm, srcBLen number of multiplications are done. + * In the third stage of the algorithm, the multiplications decrease by one + * for every iteration. */ + + /* The algorithm is implemented in three stages. + The loop counters of each stage is initiated here. */ + blockSize1 = srcBLen - 1U; + blockSize2 = srcALen - (srcBLen - 1U); + blockSize3 = blockSize1; + + /* -------------------------- + * initializations of stage1 + * -------------------------*/ + + /* sum = x[0] * y[0] + * sum = x[0] * y[1] + x[1] * y[0] + * .... + * sum = x[0] * y[srcBlen - 1] + x[1] * y[srcBlen - 2] +...+ x[srcBLen - 1] * y[0] + */ + + /* In this stage the MAC operations are increased by 1 for every iteration. + The count variable holds the number of MAC operations performed */ + count = 1U; + + /* Working pointer of inputA */ + px = pIn1; + + /* Working pointer of inputB */ + py = pIn2; + + + /* ------------------------ + * Stage1 process + * ----------------------*/ + + /* The first stage starts here */ + while (blockSize1 > 0U) + { + /* Accumulator is made zero for every iteration */ + sum = 0.0f; + + /* Apply loop unrolling and compute 4 MACs simultaneously. */ + k = count >> 2U; + + /* First part of the processing with loop unrolling. Compute 4 MACs at a time. + ** a second loop below computes MACs for the remaining 1 to 3 samples. */ + while (k > 0U) + { + /* x[0] * y[srcBLen - 1] */ + sum += *px++ * *py--; + + /* x[1] * y[srcBLen - 2] */ + sum += *px++ * *py--; + + /* x[2] * y[srcBLen - 3] */ + sum += *px++ * *py--; + + /* x[3] * y[srcBLen - 4] */ + sum += *px++ * *py--; + + /* Decrement the loop counter */ + k--; + } + + /* If the count is not a multiple of 4, compute any remaining MACs here. + ** No loop unrolling is used. */ + k = count % 0x4U; + + while (k > 0U) + { + /* Perform the multiply-accumulate */ + sum += *px++ * *py--; + + /* Decrement the loop counter */ + k--; + } + + /* Store the result in the accumulator in the destination buffer. */ + *pOut++ = sum; + + /* Update the inputA and inputB pointers for next MAC calculation */ + py = pIn2 + count; + px = pIn1; + + /* Increment the MAC count */ + count++; + + /* Decrement the loop counter */ + blockSize1--; + } + + /* -------------------------- + * Initializations of stage2 + * ------------------------*/ + + /* sum = x[0] * y[srcBLen-1] + x[1] * y[srcBLen-2] +...+ x[srcBLen-1] * y[0] + * sum = x[1] * y[srcBLen-1] + x[2] * y[srcBLen-2] +...+ x[srcBLen] * y[0] + * .... + * sum = x[srcALen-srcBLen-2] * y[srcBLen-1] + x[srcALen] * y[srcBLen-2] +...+ x[srcALen-1] * y[0] + */ + + /* Working pointer of inputA */ + px = pIn1; + + /* Working pointer of inputB */ + pSrc2 = pIn2 + (srcBLen - 1U); + py = pSrc2; + + /* count is index by which the pointer pIn1 to be incremented */ + count = 0U; + + /* ------------------- + * Stage2 process + * ------------------*/ + + /* Stage2 depends on srcBLen as in this stage srcBLen number of MACS are performed. + * So, to loop unroll over blockSize2, + * srcBLen should be greater than or equal to 4 */ + if (srcBLen >= 4U) + { + /* Loop unroll over blockSize2, by 4 */ + blkCnt = blockSize2 >> 2U; + + while (blkCnt > 0U) + { + /* Set all accumulators to zero */ + acc0 = 0.0f; + acc1 = 0.0f; + acc2 = 0.0f; + acc3 = 0.0f; + + /* read x[0], x[1], x[2] samples */ + x0 = *(px++); + x1 = *(px++); + x2 = *(px++); + + /* Apply loop unrolling and compute 4 MACs simultaneously. */ + k = srcBLen >> 2U; + + /* First part of the processing with loop unrolling. Compute 4 MACs at a time. + ** a second loop below computes MACs for the remaining 1 to 3 samples. */ + do + { + /* Read y[srcBLen - 1] sample */ + c0 = *(py--); + + /* Read x[3] sample */ + x3 = *(px); + + /* Perform the multiply-accumulate */ + /* acc0 += x[0] * y[srcBLen - 1] */ + acc0 += x0 * c0; + + /* acc1 += x[1] * y[srcBLen - 1] */ + acc1 += x1 * c0; + + /* acc2 += x[2] * y[srcBLen - 1] */ + acc2 += x2 * c0; + + /* acc3 += x[3] * y[srcBLen - 1] */ + acc3 += x3 * c0; + + /* Read y[srcBLen - 2] sample */ + c0 = *(py--); + + /* Read x[4] sample */ + x0 = *(px + 1U); + + /* Perform the multiply-accumulate */ + /* acc0 += x[1] * y[srcBLen - 2] */ + acc0 += x1 * c0; + /* acc1 += x[2] * y[srcBLen - 2] */ + acc1 += x2 * c0; + /* acc2 += x[3] * y[srcBLen - 2] */ + acc2 += x3 * c0; + /* acc3 += x[4] * y[srcBLen - 2] */ + acc3 += x0 * c0; + + /* Read y[srcBLen - 3] sample */ + c0 = *(py--); + + /* Read x[5] sample */ + x1 = *(px + 2U); + + /* Perform the multiply-accumulates */ + /* acc0 += x[2] * y[srcBLen - 3] */ + acc0 += x2 * c0; + /* acc1 += x[3] * y[srcBLen - 2] */ + acc1 += x3 * c0; + /* acc2 += x[4] * y[srcBLen - 2] */ + acc2 += x0 * c0; + /* acc3 += x[5] * y[srcBLen - 2] */ + acc3 += x1 * c0; + + /* Read y[srcBLen - 4] sample */ + c0 = *(py--); + + /* Read x[6] sample */ + x2 = *(px + 3U); + px += 4U; + + /* Perform the multiply-accumulates */ + /* acc0 += x[3] * y[srcBLen - 4] */ + acc0 += x3 * c0; + /* acc1 += x[4] * y[srcBLen - 4] */ + acc1 += x0 * c0; + /* acc2 += x[5] * y[srcBLen - 4] */ + acc2 += x1 * c0; + /* acc3 += x[6] * y[srcBLen - 4] */ + acc3 += x2 * c0; + + + } while (--k); + + /* If the srcBLen is not a multiple of 4, compute any remaining MACs here. + ** No loop unrolling is used. */ + k = srcBLen % 0x4U; + + while (k > 0U) + { + /* Read y[srcBLen - 5] sample */ + c0 = *(py--); + + /* Read x[7] sample */ + x3 = *(px++); + + /* Perform the multiply-accumulates */ + /* acc0 += x[4] * y[srcBLen - 5] */ + acc0 += x0 * c0; + /* acc1 += x[5] * y[srcBLen - 5] */ + acc1 += x1 * c0; + /* acc2 += x[6] * y[srcBLen - 5] */ + acc2 += x2 * c0; + /* acc3 += x[7] * y[srcBLen - 5] */ + acc3 += x3 * c0; + + /* Reuse the present samples for the next MAC */ + x0 = x1; + x1 = x2; + x2 = x3; + + /* Decrement the loop counter */ + k--; + } + + /* Store the result in the accumulator in the destination buffer. */ + *pOut++ = acc0; + *pOut++ = acc1; + *pOut++ = acc2; + *pOut++ = acc3; + + /* Increment the pointer pIn1 index, count by 4 */ + count += 4U; + + /* Update the inputA and inputB pointers for next MAC calculation */ + px = pIn1 + count; + py = pSrc2; + + + /* Decrement the loop counter */ + blkCnt--; + } + + + /* If the blockSize2 is not a multiple of 4, compute any remaining output samples here. + ** No loop unrolling is used. */ + blkCnt = blockSize2 % 0x4U; + + while (blkCnt > 0U) + { + /* Accumulator is made zero for every iteration */ + sum = 0.0f; + + /* Apply loop unrolling and compute 4 MACs simultaneously. */ + k = srcBLen >> 2U; + + /* First part of the processing with loop unrolling. Compute 4 MACs at a time. + ** a second loop below computes MACs for the remaining 1 to 3 samples. */ + while (k > 0U) + { + /* Perform the multiply-accumulates */ + sum += *px++ * *py--; + sum += *px++ * *py--; + sum += *px++ * *py--; + sum += *px++ * *py--; + + /* Decrement the loop counter */ + k--; + } + + /* If the srcBLen is not a multiple of 4, compute any remaining MACs here. + ** No loop unrolling is used. */ + k = srcBLen % 0x4U; + + while (k > 0U) + { + /* Perform the multiply-accumulate */ + sum += *px++ * *py--; + + /* Decrement the loop counter */ + k--; + } + + /* Store the result in the accumulator in the destination buffer. */ + *pOut++ = sum; + + /* Increment the MAC count */ + count++; + + /* Update the inputA and inputB pointers for next MAC calculation */ + px = pIn1 + count; + py = pSrc2; + + /* Decrement the loop counter */ + blkCnt--; + } + } + else + { + /* If the srcBLen is not a multiple of 4, + * the blockSize2 loop cannot be unrolled by 4 */ + blkCnt = blockSize2; + + while (blkCnt > 0U) + { + /* Accumulator is made zero for every iteration */ + sum = 0.0f; + + /* srcBLen number of MACS should be performed */ + k = srcBLen; + + while (k > 0U) + { + /* Perform the multiply-accumulate */ + sum += *px++ * *py--; + + /* Decrement the loop counter */ + k--; + } + + /* Store the result in the accumulator in the destination buffer. */ + *pOut++ = sum; + + /* Increment the MAC count */ + count++; + + /* Update the inputA and inputB pointers for next MAC calculation */ + px = pIn1 + count; + py = pSrc2; + + /* Decrement the loop counter */ + blkCnt--; + } + } + + + /* -------------------------- + * Initializations of stage3 + * -------------------------*/ + + /* sum += x[srcALen-srcBLen+1] * y[srcBLen-1] + x[srcALen-srcBLen+2] * y[srcBLen-2] +...+ x[srcALen-1] * y[1] + * sum += x[srcALen-srcBLen+2] * y[srcBLen-1] + x[srcALen-srcBLen+3] * y[srcBLen-2] +...+ x[srcALen-1] * y[2] + * .... + * sum += x[srcALen-2] * y[srcBLen-1] + x[srcALen-1] * y[srcBLen-2] + * sum += x[srcALen-1] * y[srcBLen-1] + */ + + /* In this stage the MAC operations are decreased by 1 for every iteration. + The blockSize3 variable holds the number of MAC operations performed */ + + /* Working pointer of inputA */ + pSrc1 = (pIn1 + srcALen) - (srcBLen - 1U); + px = pSrc1; + + /* Working pointer of inputB */ + pSrc2 = pIn2 + (srcBLen - 1U); + py = pSrc2; + + /* ------------------- + * Stage3 process + * ------------------*/ + + while (blockSize3 > 0U) + { + /* Accumulator is made zero for every iteration */ + sum = 0.0f; + + /* Apply loop unrolling and compute 4 MACs simultaneously. */ + k = blockSize3 >> 2U; + + /* First part of the processing with loop unrolling. Compute 4 MACs at a time. + ** a second loop below computes MACs for the remaining 1 to 3 samples. */ + while (k > 0U) + { + /* sum += x[srcALen - srcBLen + 1] * y[srcBLen - 1] */ + sum += *px++ * *py--; + + /* sum += x[srcALen - srcBLen + 2] * y[srcBLen - 2] */ + sum += *px++ * *py--; + + /* sum += x[srcALen - srcBLen + 3] * y[srcBLen - 3] */ + sum += *px++ * *py--; + + /* sum += x[srcALen - srcBLen + 4] * y[srcBLen - 4] */ + sum += *px++ * *py--; + + /* Decrement the loop counter */ + k--; + } + + /* If the blockSize3 is not a multiple of 4, compute any remaining MACs here. + ** No loop unrolling is used. */ + k = blockSize3 % 0x4U; + + while (k > 0U) + { + /* Perform the multiply-accumulates */ + /* sum += x[srcALen-1] * y[srcBLen-1] */ + sum += *px++ * *py--; + + /* Decrement the loop counter */ + k--; + } + + /* Store the result in the accumulator in the destination buffer. */ + *pOut++ = sum; + + /* Update the inputA and inputB pointers for next MAC calculation */ + px = ++pSrc1; + py = pSrc2; + + /* Decrement the loop counter */ + blockSize3--; + } + +#else + + /* Run the below code for Cortex-M0 */ + + float32_t *pIn1 = pSrcA; /* inputA pointer */ + float32_t *pIn2 = pSrcB; /* inputB pointer */ + float32_t sum; /* Accumulator */ + uint32_t i, j; /* loop counters */ + + /* Loop to calculate convolution for output length number of times */ + for (i = 0U; i < ((srcALen + srcBLen) - 1U); i++) + { + /* Initialize sum with zero to carry out MAC operations */ + sum = 0.0f; + + /* Loop to perform MAC operations according to convolution equation */ + for (j = 0U; j <= i; j++) + { + /* Check the array limitations */ + if ((((i - j) < srcBLen) && (j < srcALen))) + { + /* z[i] += x[i-j] * y[j] */ + sum += pIn1[j] * pIn2[i - j]; + } + } + /* Store the output in the destination buffer */ + pDst[i] = sum; + } + +#endif /* #if defined (ARM_MATH_DSP) */ + +} + +/** + * @} end of Conv group + */ diff --git a/fw/hid-dials/Drivers/CMSIS/DSP/Source/FilteringFunctions/arm_conv_fast_opt_q15.c b/fw/hid-dials/Drivers/CMSIS/DSP/Source/FilteringFunctions/arm_conv_fast_opt_q15.c new file mode 100644 index 0000000..26c37f0 --- /dev/null +++ b/fw/hid-dials/Drivers/CMSIS/DSP/Source/FilteringFunctions/arm_conv_fast_opt_q15.c @@ -0,0 +1,531 @@ +/* ---------------------------------------------------------------------- + * Project: CMSIS DSP Library + * Title: arm_conv_fast_opt_q15.c + * Description: Fast Q15 Convolution + * + * $Date: 27. January 2017 + * $Revision: V.1.5.1 + * + * Target Processor: Cortex-M cores + * -------------------------------------------------------------------- */ +/* + * Copyright (C) 2010-2017 ARM Limited or its affiliates. All rights reserved. + * + * SPDX-License-Identifier: Apache-2.0 + * + * Licensed under the Apache License, Version 2.0 (the License); you may + * not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an AS IS BASIS, WITHOUT + * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ + +#include "arm_math.h" + +/** + * @ingroup groupFilters + */ + +/** + * @addtogroup Conv + * @{ + */ + +/** + * @brief Convolution of Q15 sequences (fast version) for Cortex-M3 and Cortex-M4. + * @param[in] *pSrcA points to the first input sequence. + * @param[in] srcALen length of the first input sequence. + * @param[in] *pSrcB points to the second input sequence. + * @param[in] srcBLen length of the second input sequence. + * @param[out] *pDst points to the location where the output result is written. Length srcALen+srcBLen-1. + * @param[in] *pScratch1 points to scratch buffer of size max(srcALen, srcBLen) + 2*min(srcALen, srcBLen) - 2. + * @param[in] *pScratch2 points to scratch buffer of size min(srcALen, srcBLen). + * @return none. + * + * \par Restrictions + * If the silicon does not support unaligned memory access enable the macro UNALIGNED_SUPPORT_DISABLE + * In this case input, output, scratch1 and scratch2 buffers should be aligned by 32-bit + * + * Scaling and Overflow Behavior: + * + * \par + * This fast version uses a 32-bit accumulator with 2.30 format. + * The accumulator maintains full precision of the intermediate multiplication results + * but provides only a single guard bit. There is no saturation on intermediate additions. + * Thus, if the accumulator overflows it wraps around and distorts the result. + * The input signals should be scaled down to avoid intermediate overflows. + * Scale down the inputs by log2(min(srcALen, srcBLen)) (log2 is read as log to the base 2) times to avoid overflows, + * as maximum of min(srcALen, srcBLen) number of additions are carried internally. + * The 2.30 accumulator is right shifted by 15 bits and then saturated to 1.15 format to yield the final result. + * + * \par + * See arm_conv_q15() for a slower implementation of this function which uses 64-bit accumulation to avoid wrap around distortion. + */ + +void arm_conv_fast_opt_q15( + q15_t * pSrcA, + uint32_t srcALen, + q15_t * pSrcB, + uint32_t srcBLen, + q15_t * pDst, + q15_t * pScratch1, + q15_t * pScratch2) +{ + q31_t acc0, acc1, acc2, acc3; /* Accumulators */ + q31_t x1, x2, x3; /* Temporary variables to hold state and coefficient values */ + q31_t y1, y2; /* State variables */ + q15_t *pOut = pDst; /* output pointer */ + q15_t *pScr1 = pScratch1; /* Temporary pointer for scratch1 */ + q15_t *pScr2 = pScratch2; /* Temporary pointer for scratch1 */ + q15_t *pIn1; /* inputA pointer */ + q15_t *pIn2; /* inputB pointer */ + q15_t *px; /* Intermediate inputA pointer */ + q15_t *py; /* Intermediate inputB pointer */ + uint32_t j, k, blkCnt; /* loop counter */ + uint32_t tapCnt; /* loop count */ +#ifdef UNALIGNED_SUPPORT_DISABLE + + q15_t a, b; + +#endif /* #ifdef UNALIGNED_SUPPORT_DISABLE */ + + /* The algorithm implementation is based on the lengths of the inputs. */ + /* srcB is always made to slide across srcA. */ + /* So srcBLen is always considered as shorter or equal to srcALen */ + if (srcALen >= srcBLen) + { + /* Initialization of inputA pointer */ + pIn1 = pSrcA; + + /* Initialization of inputB pointer */ + pIn2 = pSrcB; + } + else + { + /* Initialization of inputA pointer */ + pIn1 = pSrcB; + + /* Initialization of inputB pointer */ + pIn2 = pSrcA; + + /* srcBLen is always considered as shorter or equal to srcALen */ + j = srcBLen; + srcBLen = srcALen; + srcALen = j; + } + + /* Pointer to take end of scratch2 buffer */ + pScr2 = pScratch2 + srcBLen - 1; + + /* points to smaller length sequence */ + px = pIn2; + + /* Apply loop unrolling and do 4 Copies simultaneously. */ + k = srcBLen >> 2U; + + /* First part of the processing with loop unrolling copies 4 data points at a time. + ** a second loop below copies for the remaining 1 to 3 samples. */ + + /* Copy smaller length input sequence in reverse order into second scratch buffer */ + while (k > 0U) + { + /* copy second buffer in reversal manner */ + *pScr2-- = *px++; + *pScr2-- = *px++; + *pScr2-- = *px++; + *pScr2-- = *px++; + + /* Decrement the loop counter */ + k--; + } + + /* If the count is not a multiple of 4, copy remaining samples here. + ** No loop unrolling is used. */ + k = srcBLen % 0x4U; + + while (k > 0U) + { + /* copy second buffer in reversal manner for remaining samples */ + *pScr2-- = *px++; + + /* Decrement the loop counter */ + k--; + } + + /* Initialze temporary scratch pointer */ + pScr1 = pScratch1; + + /* Assuming scratch1 buffer is aligned by 32-bit */ + /* Fill (srcBLen - 1U) zeros in scratch1 buffer */ + arm_fill_q15(0, pScr1, (srcBLen - 1U)); + + /* Update temporary scratch pointer */ + pScr1 += (srcBLen - 1U); + + /* Copy bigger length sequence(srcALen) samples in scratch1 buffer */ + +#ifndef UNALIGNED_SUPPORT_DISABLE + + /* Copy (srcALen) samples in scratch buffer */ + arm_copy_q15(pIn1, pScr1, srcALen); + + /* Update pointers */ + pScr1 += srcALen; + +#else + + /* Apply loop unrolling and do 4 Copies simultaneously. */ + k = srcALen >> 2U; + + /* First part of the processing with loop unrolling copies 4 data points at a time. + ** a second loop below copies for the remaining 1 to 3 samples. */ + while (k > 0U) + { + /* copy second buffer in reversal manner */ + *pScr1++ = *pIn1++; + *pScr1++ = *pIn1++; + *pScr1++ = *pIn1++; + *pScr1++ = *pIn1++; + + /* Decrement the loop counter */ + k--; + } + + /* If the count is not a multiple of 4, copy remaining samples here. + ** No loop unrolling is used. */ + k = srcALen % 0x4U; + + while (k > 0U) + { + /* copy second buffer in reversal manner for remaining samples */ + *pScr1++ = *pIn1++; + + /* Decrement the loop counter */ + k--; + } + +#endif /* #ifndef UNALIGNED_SUPPORT_DISABLE */ + + +#ifndef UNALIGNED_SUPPORT_DISABLE + + /* Fill (srcBLen - 1U) zeros at end of scratch buffer */ + arm_fill_q15(0, pScr1, (srcBLen - 1U)); + + /* Update pointer */ + pScr1 += (srcBLen - 1U); + +#else + + /* Apply loop unrolling and do 4 Copies simultaneously. */ + k = (srcBLen - 1U) >> 2U; + + /* First part of the processing with loop unrolling copies 4 data points at a time. + ** a second loop below copies for the remaining 1 to 3 samples. */ + while (k > 0U) + { + /* copy second buffer in reversal manner */ + *pScr1++ = 0; + *pScr1++ = 0; + *pScr1++ = 0; + *pScr1++ = 0; + + /* Decrement the loop counter */ + k--; + } + + /* If the count is not a multiple of 4, copy remaining samples here. + ** No loop unrolling is used. */ + k = (srcBLen - 1U) % 0x4U; + + while (k > 0U) + { + /* copy second buffer in reversal manner for remaining samples */ + *pScr1++ = 0; + + /* Decrement the loop counter */ + k--; + } + +#endif /* #ifndef UNALIGNED_SUPPORT_DISABLE */ + + /* Temporary pointer for scratch2 */ + py = pScratch2; + + + /* Initialization of pIn2 pointer */ + pIn2 = py; + + /* First part of the processing with loop unrolling process 4 data points at a time. + ** a second loop below process for the remaining 1 to 3 samples. */ + + /* Actual convolution process starts here */ + blkCnt = (srcALen + srcBLen - 1U) >> 2; + + while (blkCnt > 0) + { + /* Initialze temporary scratch pointer as scratch1 */ + pScr1 = pScratch1; + + /* Clear Accumlators */ + acc0 = 0; + acc1 = 0; + acc2 = 0; + acc3 = 0; + + /* Read two samples from scratch1 buffer */ + x1 = *__SIMD32(pScr1)++; + + /* Read next two samples from scratch1 buffer */ + x2 = *__SIMD32(pScr1)++; + + tapCnt = (srcBLen) >> 2U; + + while (tapCnt > 0U) + { + +#ifndef UNALIGNED_SUPPORT_DISABLE + + /* Read four samples from smaller buffer */ + y1 = _SIMD32_OFFSET(pIn2); + y2 = _SIMD32_OFFSET(pIn2 + 2U); + + /* multiply and accumlate */ + acc0 = __SMLAD(x1, y1, acc0); + acc2 = __SMLAD(x2, y1, acc2); + + /* pack input data */ +#ifndef ARM_MATH_BIG_ENDIAN + x3 = __PKHBT(x2, x1, 0); +#else + x3 = __PKHBT(x1, x2, 0); +#endif + + /* multiply and accumlate */ + acc1 = __SMLADX(x3, y1, acc1); + + /* Read next two samples from scratch1 buffer */ + x1 = _SIMD32_OFFSET(pScr1); + + /* multiply and accumlate */ + acc0 = __SMLAD(x2, y2, acc0); + acc2 = __SMLAD(x1, y2, acc2); + + /* pack input data */ +#ifndef ARM_MATH_BIG_ENDIAN + x3 = __PKHBT(x1, x2, 0); +#else + x3 = __PKHBT(x2, x1, 0); +#endif + + acc3 = __SMLADX(x3, y1, acc3); + acc1 = __SMLADX(x3, y2, acc1); + + x2 = _SIMD32_OFFSET(pScr1 + 2U); + +#ifndef ARM_MATH_BIG_ENDIAN + x3 = __PKHBT(x2, x1, 0); +#else + x3 = __PKHBT(x1, x2, 0); +#endif + + acc3 = __SMLADX(x3, y2, acc3); + +#else + + /* Read four samples from smaller buffer */ + a = *pIn2; + b = *(pIn2 + 1); + +#ifndef ARM_MATH_BIG_ENDIAN + y1 = __PKHBT(a, b, 16); +#else + y1 = __PKHBT(b, a, 16); +#endif + + a = *(pIn2 + 2); + b = *(pIn2 + 3); +#ifndef ARM_MATH_BIG_ENDIAN + y2 = __PKHBT(a, b, 16); +#else + y2 = __PKHBT(b, a, 16); +#endif + + acc0 = __SMLAD(x1, y1, acc0); + + acc2 = __SMLAD(x2, y1, acc2); + +#ifndef ARM_MATH_BIG_ENDIAN + x3 = __PKHBT(x2, x1, 0); +#else + x3 = __PKHBT(x1, x2, 0); +#endif + + acc1 = __SMLADX(x3, y1, acc1); + + a = *pScr1; + b = *(pScr1 + 1); + +#ifndef ARM_MATH_BIG_ENDIAN + x1 = __PKHBT(a, b, 16); +#else + x1 = __PKHBT(b, a, 16); +#endif + + acc0 = __SMLAD(x2, y2, acc0); + + acc2 = __SMLAD(x1, y2, acc2); + +#ifndef ARM_MATH_BIG_ENDIAN + x3 = __PKHBT(x1, x2, 0); +#else + x3 = __PKHBT(x2, x1, 0); +#endif + + acc3 = __SMLADX(x3, y1, acc3); + + acc1 = __SMLADX(x3, y2, acc1); + + a = *(pScr1 + 2); + b = *(pScr1 + 3); + +#ifndef ARM_MATH_BIG_ENDIAN + x2 = __PKHBT(a, b, 16); +#else + x2 = __PKHBT(b, a, 16); +#endif + +#ifndef ARM_MATH_BIG_ENDIAN + x3 = __PKHBT(x2, x1, 0); +#else + x3 = __PKHBT(x1, x2, 0); +#endif + + acc3 = __SMLADX(x3, y2, acc3); + +#endif /* #ifndef UNALIGNED_SUPPORT_DISABLE */ + + /* update scratch pointers */ + pIn2 += 4U; + pScr1 += 4U; + + + /* Decrement the loop counter */ + tapCnt--; + } + + /* Update scratch pointer for remaining samples of smaller length sequence */ + pScr1 -= 4U; + + /* apply same above for remaining samples of smaller length sequence */ + tapCnt = (srcBLen) & 3U; + + while (tapCnt > 0U) + { + + /* accumlate the results */ + acc0 += (*pScr1++ * *pIn2); + acc1 += (*pScr1++ * *pIn2); + acc2 += (*pScr1++ * *pIn2); + acc3 += (*pScr1++ * *pIn2++); + + pScr1 -= 3U; + + /* Decrement the loop counter */ + tapCnt--; + } + + blkCnt--; + + + /* Store the results in the accumulators in the destination buffer. */ + +#ifndef ARM_MATH_BIG_ENDIAN + + *__SIMD32(pOut)++ = + __PKHBT(__SSAT((acc0 >> 15), 16), __SSAT((acc1 >> 15), 16), 16); + + *__SIMD32(pOut)++ = + __PKHBT(__SSAT((acc2 >> 15), 16), __SSAT((acc3 >> 15), 16), 16); + + +#else + + *__SIMD32(pOut)++ = + __PKHBT(__SSAT((acc1 >> 15), 16), __SSAT((acc0 >> 15), 16), 16); + + *__SIMD32(pOut)++ = + __PKHBT(__SSAT((acc3 >> 15), 16), __SSAT((acc2 >> 15), 16), 16); + + + +#endif /* #ifndef ARM_MATH_BIG_ENDIAN */ + + /* Initialization of inputB pointer */ + pIn2 = py; + + pScratch1 += 4U; + + } + + + blkCnt = (srcALen + srcBLen - 1U) & 0x3; + + /* Calculate convolution for remaining samples of Bigger length sequence */ + while (blkCnt > 0) + { + /* Initialze temporary scratch pointer as scratch1 */ + pScr1 = pScratch1; + + /* Clear Accumlators */ + acc0 = 0; + + tapCnt = (srcBLen) >> 1U; + + while (tapCnt > 0U) + { + + acc0 += (*pScr1++ * *pIn2++); + acc0 += (*pScr1++ * *pIn2++); + + /* Decrement the loop counter */ + tapCnt--; + } + + tapCnt = (srcBLen) & 1U; + + /* apply same above for remaining samples of smaller length sequence */ + while (tapCnt > 0U) + { + + /* accumlate the results */ + acc0 += (*pScr1++ * *pIn2++); + + /* Decrement the loop counter */ + tapCnt--; + } + + blkCnt--; + + /* The result is in 2.30 format. Convert to 1.15 with saturation. + ** Then store the output in the destination buffer. */ + *pOut++ = (q15_t) (__SSAT((acc0 >> 15), 16)); + + /* Initialization of inputB pointer */ + pIn2 = py; + + pScratch1 += 1U; + + } + +} + +/** + * @} end of Conv group + */ diff --git a/fw/hid-dials/Drivers/CMSIS/DSP/Source/FilteringFunctions/arm_conv_fast_q15.c b/fw/hid-dials/Drivers/CMSIS/DSP/Source/FilteringFunctions/arm_conv_fast_q15.c new file mode 100644 index 0000000..16b0424 --- /dev/null +++ b/fw/hid-dials/Drivers/CMSIS/DSP/Source/FilteringFunctions/arm_conv_fast_q15.c @@ -0,0 +1,1398 @@ +/* ---------------------------------------------------------------------- + * Project: CMSIS DSP Library + * Title: arm_conv_fast_q15.c + * Description: Fast Q15 Convolution + * + * $Date: 27. January 2017 + * $Revision: V.1.5.1 + * + * Target Processor: Cortex-M cores + * -------------------------------------------------------------------- */ +/* + * Copyright (C) 2010-2017 ARM Limited or its affiliates. All rights reserved. + * + * SPDX-License-Identifier: Apache-2.0 + * + * Licensed under the Apache License, Version 2.0 (the License); you may + * not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an AS IS BASIS, WITHOUT + * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ + +#include "arm_math.h" + +/** + * @ingroup groupFilters + */ + +/** + * @addtogroup Conv + * @{ + */ + +/** + * @brief Convolution of Q15 sequences (fast version) for Cortex-M3 and Cortex-M4. + * @param[in] *pSrcA points to the first input sequence. + * @param[in] srcALen length of the first input sequence. + * @param[in] *pSrcB points to the second input sequence. + * @param[in] srcBLen length of the second input sequence. + * @param[out] *pDst points to the location where the output result is written. Length srcALen+srcBLen-1. + * @return none. + * + * Scaling and Overflow Behavior: + * + * \par + * This fast version uses a 32-bit accumulator with 2.30 format. + * The accumulator maintains full precision of the intermediate multiplication results + * but provides only a single guard bit. There is no saturation on intermediate additions. + * Thus, if the accumulator overflows it wraps around and distorts the result. + * The input signals should be scaled down to avoid intermediate overflows. + * Scale down the inputs by log2(min(srcALen, srcBLen)) (log2 is read as log to the base 2) times to avoid overflows, + * as maximum of min(srcALen, srcBLen) number of additions are carried internally. + * The 2.30 accumulator is right shifted by 15 bits and then saturated to 1.15 format to yield the final result. + * + * \par + * See arm_conv_q15() for a slower implementation of this function which uses 64-bit accumulation to avoid wrap around distortion. + */ + +void arm_conv_fast_q15( + q15_t * pSrcA, + uint32_t srcALen, + q15_t * pSrcB, + uint32_t srcBLen, + q15_t * pDst) +{ +#ifndef UNALIGNED_SUPPORT_DISABLE + q15_t *pIn1; /* inputA pointer */ + q15_t *pIn2; /* inputB pointer */ + q15_t *pOut = pDst; /* output pointer */ + q31_t sum, acc0, acc1, acc2, acc3; /* Accumulator */ + q15_t *px; /* Intermediate inputA pointer */ + q15_t *py; /* Intermediate inputB pointer */ + q15_t *pSrc1, *pSrc2; /* Intermediate pointers */ + q31_t x0, x1, x2, x3, c0; /* Temporary variables to hold state and coefficient values */ + uint32_t blockSize1, blockSize2, blockSize3, j, k, count, blkCnt; /* loop counter */ + + /* The algorithm implementation is based on the lengths of the inputs. */ + /* srcB is always made to slide across srcA. */ + /* So srcBLen is always considered as shorter or equal to srcALen */ + if (srcALen >= srcBLen) + { + /* Initialization of inputA pointer */ + pIn1 = pSrcA; + + /* Initialization of inputB pointer */ + pIn2 = pSrcB; + } + else + { + /* Initialization of inputA pointer */ + pIn1 = pSrcB; + + /* Initialization of inputB pointer */ + pIn2 = pSrcA; + + /* srcBLen is always considered as shorter or equal to srcALen */ + j = srcBLen; + srcBLen = srcALen; + srcALen = j; + } + + /* conv(x,y) at n = x[n] * y[0] + x[n-1] * y[1] + x[n-2] * y[2] + ...+ x[n-N+1] * y[N -1] */ + /* The function is internally + * divided into three stages according to the number of multiplications that has to be + * taken place between inputA samples and inputB samples. In the first stage of the + * algorithm, the multiplications increase by one for every iteration. + * In the second stage of the algorithm, srcBLen number of multiplications are done. + * In the third stage of the algorithm, the multiplications decrease by one + * for every iteration. */ + + /* The algorithm is implemented in three stages. + The loop counters of each stage is initiated here. */ + blockSize1 = srcBLen - 1U; + blockSize2 = srcALen - (srcBLen - 1U); + blockSize3 = blockSize1; + + /* -------------------------- + * Initializations of stage1 + * -------------------------*/ + + /* sum = x[0] * y[0] + * sum = x[0] * y[1] + x[1] * y[0] + * .... + * sum = x[0] * y[srcBlen - 1] + x[1] * y[srcBlen - 2] +...+ x[srcBLen - 1] * y[0] + */ + + /* In this stage the MAC operations are increased by 1 for every iteration. + The count variable holds the number of MAC operations performed */ + count = 1U; + + /* Working pointer of inputA */ + px = pIn1; + + /* Working pointer of inputB */ + py = pIn2; + + + /* ------------------------ + * Stage1 process + * ----------------------*/ + + /* For loop unrolling by 4, this stage is divided into two. */ + /* First part of this stage computes the MAC operations less than 4 */ + /* Second part of this stage computes the MAC operations greater than or equal to 4 */ + + /* The first part of the stage starts here */ + while ((count < 4U) && (blockSize1 > 0U)) + { + /* Accumulator is made zero for every iteration */ + sum = 0; + + /* Loop over number of MAC operations between + * inputA samples and inputB samples */ + k = count; + + while (k > 0U) + { + /* Perform the multiply-accumulates */ + sum = __SMLAD(*px++, *py--, sum); + + /* Decrement the loop counter */ + k--; + } + + /* Store the result in the accumulator in the destination buffer. */ + *pOut++ = (q15_t) (sum >> 15); + + /* Update the inputA and inputB pointers for next MAC calculation */ + py = pIn2 + count; + px = pIn1; + + /* Increment the MAC count */ + count++; + + /* Decrement the loop counter */ + blockSize1--; + } + + /* The second part of the stage starts here */ + /* The internal loop, over count, is unrolled by 4 */ + /* To, read the last two inputB samples using SIMD: + * y[srcBLen] and y[srcBLen-1] coefficients, py is decremented by 1 */ + py = py - 1; + + while (blockSize1 > 0U) + { + /* Accumulator is made zero for every iteration */ + sum = 0; + + /* Apply loop unrolling and compute 4 MACs simultaneously. */ + k = count >> 2U; + + /* First part of the processing with loop unrolling. Compute 4 MACs at a time. + ** a second loop below computes MACs for the remaining 1 to 3 samples. */ + while (k > 0U) + { + /* Perform the multiply-accumulates */ + /* x[0], x[1] are multiplied with y[srcBLen - 1], y[srcBLen - 2] respectively */ + sum = __SMLADX(*__SIMD32(px)++, *__SIMD32(py)--, sum); + /* x[2], x[3] are multiplied with y[srcBLen - 3], y[srcBLen - 4] respectively */ + sum = __SMLADX(*__SIMD32(px)++, *__SIMD32(py)--, sum); + + /* Decrement the loop counter */ + k--; + } + + /* For the next MAC operations, the pointer py is used without SIMD + * So, py is incremented by 1 */ + py = py + 1U; + + /* If the count is not a multiple of 4, compute any remaining MACs here. + ** No loop unrolling is used. */ + k = count % 0x4U; + + while (k > 0U) + { + /* Perform the multiply-accumulates */ + sum = __SMLAD(*px++, *py--, sum); + + /* Decrement the loop counter */ + k--; + } + + /* Store the result in the accumulator in the destination buffer. */ + *pOut++ = (q15_t) (sum >> 15); + + /* Update the inputA and inputB pointers for next MAC calculation */ + py = pIn2 + (count - 1U); + px = pIn1; + + /* Increment the MAC count */ + count++; + + /* Decrement the loop counter */ + blockSize1--; + } + + /* -------------------------- + * Initializations of stage2 + * ------------------------*/ + + /* sum = x[0] * y[srcBLen-1] + x[1] * y[srcBLen-2] +...+ x[srcBLen-1] * y[0] + * sum = x[1] * y[srcBLen-1] + x[2] * y[srcBLen-2] +...+ x[srcBLen] * y[0] + * .... + * sum = x[srcALen-srcBLen-2] * y[srcBLen-1] + x[srcALen] * y[srcBLen-2] +...+ x[srcALen-1] * y[0] + */ + + /* Working pointer of inputA */ + px = pIn1; + + /* Working pointer of inputB */ + pSrc2 = pIn2 + (srcBLen - 1U); + py = pSrc2; + + /* count is the index by which the pointer pIn1 to be incremented */ + count = 0U; + + + /* -------------------- + * Stage2 process + * -------------------*/ + + /* Stage2 depends on srcBLen as in this stage srcBLen number of MACS are performed. + * So, to loop unroll over blockSize2, + * srcBLen should be greater than or equal to 4 */ + if (srcBLen >= 4U) + { + /* Loop unroll over blockSize2, by 4 */ + blkCnt = blockSize2 >> 2U; + + while (blkCnt > 0U) + { + py = py - 1U; + + /* Set all accumulators to zero */ + acc0 = 0; + acc1 = 0; + acc2 = 0; + acc3 = 0; + + + /* read x[0], x[1] samples */ + x0 = *__SIMD32(px); + /* read x[1], x[2] samples */ + x1 = _SIMD32_OFFSET(px+1); + px+= 2U; + + + /* Apply loop unrolling and compute 4 MACs simultaneously. */ + k = srcBLen >> 2U; + + /* First part of the processing with loop unrolling. Compute 4 MACs at a time. + ** a second loop below computes MACs for the remaining 1 to 3 samples. */ + do + { + /* Read the last two inputB samples using SIMD: + * y[srcBLen - 1] and y[srcBLen - 2] */ + c0 = *__SIMD32(py)--; + + /* acc0 += x[0] * y[srcBLen - 1] + x[1] * y[srcBLen - 2] */ + acc0 = __SMLADX(x0, c0, acc0); + + /* acc1 += x[1] * y[srcBLen - 1] + x[2] * y[srcBLen - 2] */ + acc1 = __SMLADX(x1, c0, acc1); + + /* Read x[2], x[3] */ + x2 = *__SIMD32(px); + + /* Read x[3], x[4] */ + x3 = _SIMD32_OFFSET(px+1); + + /* acc2 += x[2] * y[srcBLen - 1] + x[3] * y[srcBLen - 2] */ + acc2 = __SMLADX(x2, c0, acc2); + + /* acc3 += x[3] * y[srcBLen - 1] + x[4] * y[srcBLen - 2] */ + acc3 = __SMLADX(x3, c0, acc3); + + /* Read y[srcBLen - 3] and y[srcBLen - 4] */ + c0 = *__SIMD32(py)--; + + /* acc0 += x[2] * y[srcBLen - 3] + x[3] * y[srcBLen - 4] */ + acc0 = __SMLADX(x2, c0, acc0); + + /* acc1 += x[3] * y[srcBLen - 3] + x[4] * y[srcBLen - 4] */ + acc1 = __SMLADX(x3, c0, acc1); + + /* Read x[4], x[5] */ + x0 = _SIMD32_OFFSET(px+2); + + /* Read x[5], x[6] */ + x1 = _SIMD32_OFFSET(px+3); + px += 4U; + + /* acc2 += x[4] * y[srcBLen - 3] + x[5] * y[srcBLen - 4] */ + acc2 = __SMLADX(x0, c0, acc2); + + /* acc3 += x[5] * y[srcBLen - 3] + x[6] * y[srcBLen - 4] */ + acc3 = __SMLADX(x1, c0, acc3); + + } while (--k); + + /* For the next MAC operations, SIMD is not used + * So, the 16 bit pointer if inputB, py is updated */ + + /* If the srcBLen is not a multiple of 4, compute any remaining MACs here. + ** No loop unrolling is used. */ + k = srcBLen % 0x4U; + + if (k == 1U) + { + /* Read y[srcBLen - 5] */ + c0 = *(py+1); + +#ifdef ARM_MATH_BIG_ENDIAN + + c0 = c0 << 16U; + +#else + + c0 = c0 & 0x0000FFFF; + +#endif /* #ifdef ARM_MATH_BIG_ENDIAN */ + + /* Read x[7] */ + x3 = *__SIMD32(px); + px++; + + /* Perform the multiply-accumulates */ + acc0 = __SMLAD(x0, c0, acc0); + acc1 = __SMLAD(x1, c0, acc1); + acc2 = __SMLADX(x1, c0, acc2); + acc3 = __SMLADX(x3, c0, acc3); + } + + if (k == 2U) + { + /* Read y[srcBLen - 5], y[srcBLen - 6] */ + c0 = _SIMD32_OFFSET(py); + + /* Read x[7], x[8] */ + x3 = *__SIMD32(px); + + /* Read x[9] */ + x2 = _SIMD32_OFFSET(px+1); + px += 2U; + + /* Perform the multiply-accumulates */ + acc0 = __SMLADX(x0, c0, acc0); + acc1 = __SMLADX(x1, c0, acc1); + acc2 = __SMLADX(x3, c0, acc2); + acc3 = __SMLADX(x2, c0, acc3); + } + + if (k == 3U) + { + /* Read y[srcBLen - 5], y[srcBLen - 6] */ + c0 = _SIMD32_OFFSET(py); + + /* Read x[7], x[8] */ + x3 = *__SIMD32(px); + + /* Read x[9] */ + x2 = _SIMD32_OFFSET(px+1); + + /* Perform the multiply-accumulates */ + acc0 = __SMLADX(x0, c0, acc0); + acc1 = __SMLADX(x1, c0, acc1); + acc2 = __SMLADX(x3, c0, acc2); + acc3 = __SMLADX(x2, c0, acc3); + + /* Read y[srcBLen - 7] */ + c0 = *(py-1); +#ifdef ARM_MATH_BIG_ENDIAN + + c0 = c0 << 16U; +#else + + c0 = c0 & 0x0000FFFF; +#endif /* #ifdef ARM_MATH_BIG_ENDIAN */ + + /* Read x[10] */ + x3 = _SIMD32_OFFSET(px+2); + px += 3U; + + /* Perform the multiply-accumulates */ + acc0 = __SMLADX(x1, c0, acc0); + acc1 = __SMLAD(x2, c0, acc1); + acc2 = __SMLADX(x2, c0, acc2); + acc3 = __SMLADX(x3, c0, acc3); + } + + /* Store the results in the accumulators in the destination buffer. */ +#ifndef ARM_MATH_BIG_ENDIAN + + *__SIMD32(pOut)++ = __PKHBT((acc0 >> 15), (acc1 >> 15), 16); + *__SIMD32(pOut)++ = __PKHBT((acc2 >> 15), (acc3 >> 15), 16); + +#else + + *__SIMD32(pOut)++ = __PKHBT((acc1 >> 15), (acc0 >> 15), 16); + *__SIMD32(pOut)++ = __PKHBT((acc3 >> 15), (acc2 >> 15), 16); + +#endif /* #ifndef ARM_MATH_BIG_ENDIAN */ + + /* Increment the pointer pIn1 index, count by 4 */ + count += 4U; + + /* Update the inputA and inputB pointers for next MAC calculation */ + px = pIn1 + count; + py = pSrc2; + + /* Decrement the loop counter */ + blkCnt--; + } + + /* If the blockSize2 is not a multiple of 4, compute any remaining output samples here. + ** No loop unrolling is used. */ + blkCnt = blockSize2 % 0x4U; + + while (blkCnt > 0U) + { + /* Accumulator is made zero for every iteration */ + sum = 0; + + /* Apply loop unrolling and compute 4 MACs simultaneously. */ + k = srcBLen >> 2U; + + /* First part of the processing with loop unrolling. Compute 4 MACs at a time. + ** a second loop below computes MACs for the remaining 1 to 3 samples. */ + while (k > 0U) + { + /* Perform the multiply-accumulates */ + sum += ((q31_t) * px++ * *py--); + sum += ((q31_t) * px++ * *py--); + sum += ((q31_t) * px++ * *py--); + sum += ((q31_t) * px++ * *py--); + + /* Decrement the loop counter */ + k--; + } + + /* If the srcBLen is not a multiple of 4, compute any remaining MACs here. + ** No loop unrolling is used. */ + k = srcBLen % 0x4U; + + while (k > 0U) + { + /* Perform the multiply-accumulates */ + sum += ((q31_t) * px++ * *py--); + + /* Decrement the loop counter */ + k--; + } + + /* Store the result in the accumulator in the destination buffer. */ + *pOut++ = (q15_t) (sum >> 15); + + /* Increment the pointer pIn1 index, count by 1 */ + count++; + + /* Update the inputA and inputB pointers for next MAC calculation */ + px = pIn1 + count; + py = pSrc2; + + /* Decrement the loop counter */ + blkCnt--; + } + } + else + { + /* If the srcBLen is not a multiple of 4, + * the blockSize2 loop cannot be unrolled by 4 */ + blkCnt = blockSize2; + + while (blkCnt > 0U) + { + /* Accumulator is made zero for every iteration */ + sum = 0; + + /* srcBLen number of MACS should be performed */ + k = srcBLen; + + while (k > 0U) + { + /* Perform the multiply-accumulate */ + sum += ((q31_t) * px++ * *py--); + + /* Decrement the loop counter */ + k--; + } + + /* Store the result in the accumulator in the destination buffer. */ + *pOut++ = (q15_t) (sum >> 15); + + /* Increment the MAC count */ + count++; + + /* Update the inputA and inputB pointers for next MAC calculation */ + px = pIn1 + count; + py = pSrc2; + + /* Decrement the loop counter */ + blkCnt--; + } + } + + + /* -------------------------- + * Initializations of stage3 + * -------------------------*/ + + /* sum += x[srcALen-srcBLen+1] * y[srcBLen-1] + x[srcALen-srcBLen+2] * y[srcBLen-2] +...+ x[srcALen-1] * y[1] + * sum += x[srcALen-srcBLen+2] * y[srcBLen-1] + x[srcALen-srcBLen+3] * y[srcBLen-2] +...+ x[srcALen-1] * y[2] + * .... + * sum += x[srcALen-2] * y[srcBLen-1] + x[srcALen-1] * y[srcBLen-2] + * sum += x[srcALen-1] * y[srcBLen-1] + */ + + /* In this stage the MAC operations are decreased by 1 for every iteration. + The blockSize3 variable holds the number of MAC operations performed */ + + /* Working pointer of inputA */ + pSrc1 = (pIn1 + srcALen) - (srcBLen - 1U); + px = pSrc1; + + /* Working pointer of inputB */ + pSrc2 = pIn2 + (srcBLen - 1U); + pIn2 = pSrc2 - 1U; + py = pIn2; + + /* ------------------- + * Stage3 process + * ------------------*/ + + /* For loop unrolling by 4, this stage is divided into two. */ + /* First part of this stage computes the MAC operations greater than 4 */ + /* Second part of this stage computes the MAC operations less than or equal to 4 */ + + /* The first part of the stage starts here */ + j = blockSize3 >> 2U; + + while ((j > 0U) && (blockSize3 > 0U)) + { + /* Accumulator is made zero for every iteration */ + sum = 0; + + /* Apply loop unrolling and compute 4 MACs simultaneously. */ + k = blockSize3 >> 2U; + + /* First part of the processing with loop unrolling. Compute 4 MACs at a time. + ** a second loop below computes MACs for the remaining 1 to 3 samples. */ + while (k > 0U) + { + /* x[srcALen - srcBLen + 1], x[srcALen - srcBLen + 2] are multiplied + * with y[srcBLen - 1], y[srcBLen - 2] respectively */ + sum = __SMLADX(*__SIMD32(px)++, *__SIMD32(py)--, sum); + /* x[srcALen - srcBLen + 3], x[srcALen - srcBLen + 4] are multiplied + * with y[srcBLen - 3], y[srcBLen - 4] respectively */ + sum = __SMLADX(*__SIMD32(px)++, *__SIMD32(py)--, sum); + + /* Decrement the loop counter */ + k--; + } + + /* For the next MAC operations, the pointer py is used without SIMD + * So, py is incremented by 1 */ + py = py + 1U; + + /* If the blockSize3 is not a multiple of 4, compute any remaining MACs here. + ** No loop unrolling is used. */ + k = blockSize3 % 0x4U; + + while (k > 0U) + { + /* sum += x[srcALen - srcBLen + 5] * y[srcBLen - 5] */ + sum = __SMLAD(*px++, *py--, sum); + + /* Decrement the loop counter */ + k--; + } + + /* Store the result in the accumulator in the destination buffer. */ + *pOut++ = (q15_t) (sum >> 15); + + /* Update the inputA and inputB pointers for next MAC calculation */ + px = ++pSrc1; + py = pIn2; + + /* Decrement the loop counter */ + blockSize3--; + + j--; + } + + /* The second part of the stage starts here */ + /* SIMD is not used for the next MAC operations, + * so pointer py is updated to read only one sample at a time */ + py = py + 1U; + + while (blockSize3 > 0U) + { + /* Accumulator is made zero for every iteration */ + sum = 0; + + /* Apply loop unrolling and compute 4 MACs simultaneously. */ + k = blockSize3; + + while (k > 0U) + { + /* Perform the multiply-accumulates */ + /* sum += x[srcALen-1] * y[srcBLen-1] */ + sum = __SMLAD(*px++, *py--, sum); + + /* Decrement the loop counter */ + k--; + } + + /* Store the result in the accumulator in the destination buffer. */ + *pOut++ = (q15_t) (sum >> 15); + + /* Update the inputA and inputB pointers for next MAC calculation */ + px = ++pSrc1; + py = pSrc2; + + /* Decrement the loop counter */ + blockSize3--; + } + +#else + q15_t *pIn1; /* inputA pointer */ + q15_t *pIn2; /* inputB pointer */ + q15_t *pOut = pDst; /* output pointer */ + q31_t sum, acc0, acc1, acc2, acc3; /* Accumulator */ + q15_t *px; /* Intermediate inputA pointer */ + q15_t *py; /* Intermediate inputB pointer */ + q15_t *pSrc1, *pSrc2; /* Intermediate pointers */ + q31_t x0, x1, x2, x3, c0; /* Temporary variables to hold state and coefficient values */ + uint32_t blockSize1, blockSize2, blockSize3, j, k, count, blkCnt; /* loop counter */ + q15_t a, b; + + /* The algorithm implementation is based on the lengths of the inputs. */ + /* srcB is always made to slide across srcA. */ + /* So srcBLen is always considered as shorter or equal to srcALen */ + if (srcALen >= srcBLen) + { + /* Initialization of inputA pointer */ + pIn1 = pSrcA; + + /* Initialization of inputB pointer */ + pIn2 = pSrcB; + } + else + { + /* Initialization of inputA pointer */ + pIn1 = pSrcB; + + /* Initialization of inputB pointer */ + pIn2 = pSrcA; + + /* srcBLen is always considered as shorter or equal to srcALen */ + j = srcBLen; + srcBLen = srcALen; + srcALen = j; + } + + /* conv(x,y) at n = x[n] * y[0] + x[n-1] * y[1] + x[n-2] * y[2] + ...+ x[n-N+1] * y[N -1] */ + /* The function is internally + * divided into three stages according to the number of multiplications that has to be + * taken place between inputA samples and inputB samples. In the first stage of the + * algorithm, the multiplications increase by one for every iteration. + * In the second stage of the algorithm, srcBLen number of multiplications are done. + * In the third stage of the algorithm, the multiplications decrease by one + * for every iteration. */ + + /* The algorithm is implemented in three stages. + The loop counters of each stage is initiated here. */ + blockSize1 = srcBLen - 1U; + blockSize2 = srcALen - (srcBLen - 1U); + blockSize3 = blockSize1; + + /* -------------------------- + * Initializations of stage1 + * -------------------------*/ + + /* sum = x[0] * y[0] + * sum = x[0] * y[1] + x[1] * y[0] + * .... + * sum = x[0] * y[srcBlen - 1] + x[1] * y[srcBlen - 2] +...+ x[srcBLen - 1] * y[0] + */ + + /* In this stage the MAC operations are increased by 1 for every iteration. + The count variable holds the number of MAC operations performed */ + count = 1U; + + /* Working pointer of inputA */ + px = pIn1; + + /* Working pointer of inputB */ + py = pIn2; + + + /* ------------------------ + * Stage1 process + * ----------------------*/ + + /* For loop unrolling by 4, this stage is divided into two. */ + /* First part of this stage computes the MAC operations less than 4 */ + /* Second part of this stage computes the MAC operations greater than or equal to 4 */ + + /* The first part of the stage starts here */ + while ((count < 4U) && (blockSize1 > 0U)) + { + /* Accumulator is made zero for every iteration */ + sum = 0; + + /* Loop over number of MAC operations between + * inputA samples and inputB samples */ + k = count; + + while (k > 0U) + { + /* Perform the multiply-accumulates */ + sum += ((q31_t) * px++ * *py--); + + /* Decrement the loop counter */ + k--; + } + + /* Store the result in the accumulator in the destination buffer. */ + *pOut++ = (q15_t) (sum >> 15); + + /* Update the inputA and inputB pointers for next MAC calculation */ + py = pIn2 + count; + px = pIn1; + + /* Increment the MAC count */ + count++; + + /* Decrement the loop counter */ + blockSize1--; + } + + /* The second part of the stage starts here */ + /* The internal loop, over count, is unrolled by 4 */ + /* To, read the last two inputB samples using SIMD: + * y[srcBLen] and y[srcBLen-1] coefficients, py is decremented by 1 */ + py = py - 1; + + while (blockSize1 > 0U) + { + /* Accumulator is made zero for every iteration */ + sum = 0; + + /* Apply loop unrolling and compute 4 MACs simultaneously. */ + k = count >> 2U; + + /* First part of the processing with loop unrolling. Compute 4 MACs at a time. + ** a second loop below computes MACs for the remaining 1 to 3 samples. */ + py++; + + while (k > 0U) + { + /* Perform the multiply-accumulates */ + sum += ((q31_t) * px++ * *py--); + sum += ((q31_t) * px++ * *py--); + sum += ((q31_t) * px++ * *py--); + sum += ((q31_t) * px++ * *py--); + + /* Decrement the loop counter */ + k--; + } + + /* If the count is not a multiple of 4, compute any remaining MACs here. + ** No loop unrolling is used. */ + k = count % 0x4U; + + while (k > 0U) + { + /* Perform the multiply-accumulates */ + sum += ((q31_t) * px++ * *py--); + + /* Decrement the loop counter */ + k--; + } + + /* Store the result in the accumulator in the destination buffer. */ + *pOut++ = (q15_t) (sum >> 15); + + /* Update the inputA and inputB pointers for next MAC calculation */ + py = pIn2 + (count - 1U); + px = pIn1; + + /* Increment the MAC count */ + count++; + + /* Decrement the loop counter */ + blockSize1--; + } + + /* -------------------------- + * Initializations of stage2 + * ------------------------*/ + + /* sum = x[0] * y[srcBLen-1] + x[1] * y[srcBLen-2] +...+ x[srcBLen-1] * y[0] + * sum = x[1] * y[srcBLen-1] + x[2] * y[srcBLen-2] +...+ x[srcBLen] * y[0] + * .... + * sum = x[srcALen-srcBLen-2] * y[srcBLen-1] + x[srcALen] * y[srcBLen-2] +...+ x[srcALen-1] * y[0] + */ + + /* Working pointer of inputA */ + px = pIn1; + + /* Working pointer of inputB */ + pSrc2 = pIn2 + (srcBLen - 1U); + py = pSrc2; + + /* count is the index by which the pointer pIn1 to be incremented */ + count = 0U; + + + /* -------------------- + * Stage2 process + * -------------------*/ + + /* Stage2 depends on srcBLen as in this stage srcBLen number of MACS are performed. + * So, to loop unroll over blockSize2, + * srcBLen should be greater than or equal to 4 */ + if (srcBLen >= 4U) + { + /* Loop unroll over blockSize2, by 4 */ + blkCnt = blockSize2 >> 2U; + + while (blkCnt > 0U) + { + py = py - 1U; + + /* Set all accumulators to zero */ + acc0 = 0; + acc1 = 0; + acc2 = 0; + acc3 = 0; + + /* read x[0], x[1] samples */ + a = *px++; + b = *px++; + +#ifndef ARM_MATH_BIG_ENDIAN + + x0 = __PKHBT(a, b, 16); + a = *px; + x1 = __PKHBT(b, a, 16); + +#else + + x0 = __PKHBT(b, a, 16); + a = *px; + x1 = __PKHBT(a, b, 16); + +#endif /* #ifndef ARM_MATH_BIG_ENDIAN */ + + /* Apply loop unrolling and compute 4 MACs simultaneously. */ + k = srcBLen >> 2U; + + /* First part of the processing with loop unrolling. Compute 4 MACs at a time. + ** a second loop below computes MACs for the remaining 1 to 3 samples. */ + do + { + /* Read the last two inputB samples using SIMD: + * y[srcBLen - 1] and y[srcBLen - 2] */ + a = *py; + b = *(py+1); + py -= 2; + +#ifndef ARM_MATH_BIG_ENDIAN + + c0 = __PKHBT(a, b, 16); + +#else + + c0 = __PKHBT(b, a, 16);; + +#endif /* #ifndef ARM_MATH_BIG_ENDIAN */ + + /* acc0 += x[0] * y[srcBLen - 1] + x[1] * y[srcBLen - 2] */ + acc0 = __SMLADX(x0, c0, acc0); + + /* acc1 += x[1] * y[srcBLen - 1] + x[2] * y[srcBLen - 2] */ + acc1 = __SMLADX(x1, c0, acc1); + + a = *px; + b = *(px + 1); + +#ifndef ARM_MATH_BIG_ENDIAN + + x2 = __PKHBT(a, b, 16); + a = *(px + 2); + x3 = __PKHBT(b, a, 16); + +#else + + x2 = __PKHBT(b, a, 16); + a = *(px + 2); + x3 = __PKHBT(a, b, 16); + +#endif /* #ifndef ARM_MATH_BIG_ENDIAN */ + + /* acc2 += x[2] * y[srcBLen - 1] + x[3] * y[srcBLen - 2] */ + acc2 = __SMLADX(x2, c0, acc2); + + /* acc3 += x[3] * y[srcBLen - 1] + x[4] * y[srcBLen - 2] */ + acc3 = __SMLADX(x3, c0, acc3); + + /* Read y[srcBLen - 3] and y[srcBLen - 4] */ + a = *py; + b = *(py+1); + py -= 2; + +#ifndef ARM_MATH_BIG_ENDIAN + + c0 = __PKHBT(a, b, 16); + +#else + + c0 = __PKHBT(b, a, 16);; + +#endif /* #ifndef ARM_MATH_BIG_ENDIAN */ + + /* acc0 += x[2] * y[srcBLen - 3] + x[3] * y[srcBLen - 4] */ + acc0 = __SMLADX(x2, c0, acc0); + + /* acc1 += x[3] * y[srcBLen - 3] + x[4] * y[srcBLen - 4] */ + acc1 = __SMLADX(x3, c0, acc1); + + /* Read x[4], x[5], x[6] */ + a = *(px + 2); + b = *(px + 3); + +#ifndef ARM_MATH_BIG_ENDIAN + + x0 = __PKHBT(a, b, 16); + a = *(px + 4); + x1 = __PKHBT(b, a, 16); + +#else + + x0 = __PKHBT(b, a, 16); + a = *(px + 4); + x1 = __PKHBT(a, b, 16); + +#endif /* #ifndef ARM_MATH_BIG_ENDIAN */ + + px += 4U; + + /* acc2 += x[4] * y[srcBLen - 3] + x[5] * y[srcBLen - 4] */ + acc2 = __SMLADX(x0, c0, acc2); + + /* acc3 += x[5] * y[srcBLen - 3] + x[6] * y[srcBLen - 4] */ + acc3 = __SMLADX(x1, c0, acc3); + + } while (--k); + + /* For the next MAC operations, SIMD is not used + * So, the 16 bit pointer if inputB, py is updated */ + + /* If the srcBLen is not a multiple of 4, compute any remaining MACs here. + ** No loop unrolling is used. */ + k = srcBLen % 0x4U; + + if (k == 1U) + { + /* Read y[srcBLen - 5] */ + c0 = *(py+1); + +#ifdef ARM_MATH_BIG_ENDIAN + + c0 = c0 << 16U; + +#else + + c0 = c0 & 0x0000FFFF; + +#endif /* #ifdef ARM_MATH_BIG_ENDIAN */ + + /* Read x[7] */ + a = *px; + b = *(px+1); + px++; + +#ifndef ARM_MATH_BIG_ENDIAN + + x3 = __PKHBT(a, b, 16); + +#else + + x3 = __PKHBT(b, a, 16);; + +#endif /* #ifndef ARM_MATH_BIG_ENDIAN */ + + + /* Perform the multiply-accumulates */ + acc0 = __SMLAD(x0, c0, acc0); + acc1 = __SMLAD(x1, c0, acc1); + acc2 = __SMLADX(x1, c0, acc2); + acc3 = __SMLADX(x3, c0, acc3); + } + + if (k == 2U) + { + /* Read y[srcBLen - 5], y[srcBLen - 6] */ + a = *py; + b = *(py+1); + +#ifndef ARM_MATH_BIG_ENDIAN + + c0 = __PKHBT(a, b, 16); + +#else + + c0 = __PKHBT(b, a, 16);; + +#endif /* #ifndef ARM_MATH_BIG_ENDIAN */ + + /* Read x[7], x[8], x[9] */ + a = *px; + b = *(px + 1); + +#ifndef ARM_MATH_BIG_ENDIAN + + x3 = __PKHBT(a, b, 16); + a = *(px + 2); + x2 = __PKHBT(b, a, 16); + +#else + + x3 = __PKHBT(b, a, 16); + a = *(px + 2); + x2 = __PKHBT(a, b, 16); + +#endif /* #ifndef ARM_MATH_BIG_ENDIAN */ + px += 2U; + + /* Perform the multiply-accumulates */ + acc0 = __SMLADX(x0, c0, acc0); + acc1 = __SMLADX(x1, c0, acc1); + acc2 = __SMLADX(x3, c0, acc2); + acc3 = __SMLADX(x2, c0, acc3); + } + + if (k == 3U) + { + /* Read y[srcBLen - 5], y[srcBLen - 6] */ + a = *py; + b = *(py+1); + +#ifndef ARM_MATH_BIG_ENDIAN + + c0 = __PKHBT(a, b, 16); + +#else + + c0 = __PKHBT(b, a, 16);; + +#endif /* #ifndef ARM_MATH_BIG_ENDIAN */ + + /* Read x[7], x[8], x[9] */ + a = *px; + b = *(px + 1); + +#ifndef ARM_MATH_BIG_ENDIAN + + x3 = __PKHBT(a, b, 16); + a = *(px + 2); + x2 = __PKHBT(b, a, 16); + +#else + + x3 = __PKHBT(b, a, 16); + a = *(px + 2); + x2 = __PKHBT(a, b, 16); + +#endif /* #ifndef ARM_MATH_BIG_ENDIAN */ + + /* Perform the multiply-accumulates */ + acc0 = __SMLADX(x0, c0, acc0); + acc1 = __SMLADX(x1, c0, acc1); + acc2 = __SMLADX(x3, c0, acc2); + acc3 = __SMLADX(x2, c0, acc3); + + /* Read y[srcBLen - 7] */ + c0 = *(py-1); +#ifdef ARM_MATH_BIG_ENDIAN + + c0 = c0 << 16U; +#else + + c0 = c0 & 0x0000FFFF; +#endif /* #ifdef ARM_MATH_BIG_ENDIAN */ + + /* Read x[10] */ + a = *(px+2); + b = *(px+3); + +#ifndef ARM_MATH_BIG_ENDIAN + + x3 = __PKHBT(a, b, 16); + +#else + + x3 = __PKHBT(b, a, 16);; + +#endif /* #ifndef ARM_MATH_BIG_ENDIAN */ + + px += 3U; + + /* Perform the multiply-accumulates */ + acc0 = __SMLADX(x1, c0, acc0); + acc1 = __SMLAD(x2, c0, acc1); + acc2 = __SMLADX(x2, c0, acc2); + acc3 = __SMLADX(x3, c0, acc3); + } + + /* Store the results in the accumulators in the destination buffer. */ + *pOut++ = (q15_t)(acc0 >> 15); + *pOut++ = (q15_t)(acc1 >> 15); + *pOut++ = (q15_t)(acc2 >> 15); + *pOut++ = (q15_t)(acc3 >> 15); + + /* Increment the pointer pIn1 index, count by 4 */ + count += 4U; + + /* Update the inputA and inputB pointers for next MAC calculation */ + px = pIn1 + count; + py = pSrc2; + + /* Decrement the loop counter */ + blkCnt--; + } + + /* If the blockSize2 is not a multiple of 4, compute any remaining output samples here. + ** No loop unrolling is used. */ + blkCnt = blockSize2 % 0x4U; + + while (blkCnt > 0U) + { + /* Accumulator is made zero for every iteration */ + sum = 0; + + /* Apply loop unrolling and compute 4 MACs simultaneously. */ + k = srcBLen >> 2U; + + /* First part of the processing with loop unrolling. Compute 4 MACs at a time. + ** a second loop below computes MACs for the remaining 1 to 3 samples. */ + while (k > 0U) + { + /* Perform the multiply-accumulates */ + sum += ((q31_t) * px++ * *py--); + sum += ((q31_t) * px++ * *py--); + sum += ((q31_t) * px++ * *py--); + sum += ((q31_t) * px++ * *py--); + + /* Decrement the loop counter */ + k--; + } + + /* If the srcBLen is not a multiple of 4, compute any remaining MACs here. + ** No loop unrolling is used. */ + k = srcBLen % 0x4U; + + while (k > 0U) + { + /* Perform the multiply-accumulates */ + sum += ((q31_t) * px++ * *py--); + + /* Decrement the loop counter */ + k--; + } + + /* Store the result in the accumulator in the destination buffer. */ + *pOut++ = (q15_t) (sum >> 15); + + /* Increment the pointer pIn1 index, count by 1 */ + count++; + + /* Update the inputA and inputB pointers for next MAC calculation */ + px = pIn1 + count; + py = pSrc2; + + /* Decrement the loop counter */ + blkCnt--; + } + } + else + { + /* If the srcBLen is not a multiple of 4, + * the blockSize2 loop cannot be unrolled by 4 */ + blkCnt = blockSize2; + + while (blkCnt > 0U) + { + /* Accumulator is made zero for every iteration */ + sum = 0; + + /* srcBLen number of MACS should be performed */ + k = srcBLen; + + while (k > 0U) + { + /* Perform the multiply-accumulate */ + sum += ((q31_t) * px++ * *py--); + + /* Decrement the loop counter */ + k--; + } + + /* Store the result in the accumulator in the destination buffer. */ + *pOut++ = (q15_t) (sum >> 15); + + /* Increment the MAC count */ + count++; + + /* Update the inputA and inputB pointers for next MAC calculation */ + px = pIn1 + count; + py = pSrc2; + + /* Decrement the loop counter */ + blkCnt--; + } + } + + + /* -------------------------- + * Initializations of stage3 + * -------------------------*/ + + /* sum += x[srcALen-srcBLen+1] * y[srcBLen-1] + x[srcALen-srcBLen+2] * y[srcBLen-2] +...+ x[srcALen-1] * y[1] + * sum += x[srcALen-srcBLen+2] * y[srcBLen-1] + x[srcALen-srcBLen+3] * y[srcBLen-2] +...+ x[srcALen-1] * y[2] + * .... + * sum += x[srcALen-2] * y[srcBLen-1] + x[srcALen-1] * y[srcBLen-2] + * sum += x[srcALen-1] * y[srcBLen-1] + */ + + /* In this stage the MAC operations are decreased by 1 for every iteration. + The blockSize3 variable holds the number of MAC operations performed */ + + /* Working pointer of inputA */ + pSrc1 = (pIn1 + srcALen) - (srcBLen - 1U); + px = pSrc1; + + /* Working pointer of inputB */ + pSrc2 = pIn2 + (srcBLen - 1U); + pIn2 = pSrc2 - 1U; + py = pIn2; + + /* ------------------- + * Stage3 process + * ------------------*/ + + /* For loop unrolling by 4, this stage is divided into two. */ + /* First part of this stage computes the MAC operations greater than 4 */ + /* Second part of this stage computes the MAC operations less than or equal to 4 */ + + /* The first part of the stage starts here */ + j = blockSize3 >> 2U; + + while ((j > 0U) && (blockSize3 > 0U)) + { + /* Accumulator is made zero for every iteration */ + sum = 0; + + /* Apply loop unrolling and compute 4 MACs simultaneously. */ + k = blockSize3 >> 2U; + + /* First part of the processing with loop unrolling. Compute 4 MACs at a time. + ** a second loop below computes MACs for the remaining 1 to 3 samples. */ + py++; + + while (k > 0U) + { + sum += ((q31_t) * px++ * *py--); + sum += ((q31_t) * px++ * *py--); + sum += ((q31_t) * px++ * *py--); + sum += ((q31_t) * px++ * *py--); + /* Decrement the loop counter */ + k--; + } + + /* If the blockSize3 is not a multiple of 4, compute any remaining MACs here. + ** No loop unrolling is used. */ + k = blockSize3 % 0x4U; + + while (k > 0U) + { + /* sum += x[srcALen - srcBLen + 5] * y[srcBLen - 5] */ + sum += ((q31_t) * px++ * *py--); + + /* Decrement the loop counter */ + k--; + } + + /* Store the result in the accumulator in the destination buffer. */ + *pOut++ = (q15_t) (sum >> 15); + + /* Update the inputA and inputB pointers for next MAC calculation */ + px = ++pSrc1; + py = pIn2; + + /* Decrement the loop counter */ + blockSize3--; + + j--; + } + + /* The second part of the stage starts here */ + /* SIMD is not used for the next MAC operations, + * so pointer py is updated to read only one sample at a time */ + py = py + 1U; + + while (blockSize3 > 0U) + { + /* Accumulator is made zero for every iteration */ + sum = 0; + + /* Apply loop unrolling and compute 4 MACs simultaneously. */ + k = blockSize3; + + while (k > 0U) + { + /* Perform the multiply-accumulates */ + /* sum += x[srcALen-1] * y[srcBLen-1] */ + sum += ((q31_t) * px++ * *py--); + + /* Decrement the loop counter */ + k--; + } + + /* Store the result in the accumulator in the destination buffer. */ + *pOut++ = (q15_t) (sum >> 15); + + /* Update the inputA and inputB pointers for next MAC calculation */ + px = ++pSrc1; + py = pSrc2; + + /* Decrement the loop counter */ + blockSize3--; + } + +#endif /* #ifndef UNALIGNED_SUPPORT_DISABLE */ +} + +/** + * @} end of Conv group + */ diff --git a/fw/hid-dials/Drivers/CMSIS/DSP/Source/FilteringFunctions/arm_conv_fast_q31.c b/fw/hid-dials/Drivers/CMSIS/DSP/Source/FilteringFunctions/arm_conv_fast_q31.c new file mode 100644 index 0000000..bc57221 --- /dev/null +++ b/fw/hid-dials/Drivers/CMSIS/DSP/Source/FilteringFunctions/arm_conv_fast_q31.c @@ -0,0 +1,565 @@ +/* ---------------------------------------------------------------------- + * Project: CMSIS DSP Library + * Title: arm_conv_fast_q31.c + * Description: Fast Q31 Convolution + * + * $Date: 27. January 2017 + * $Revision: V.1.5.1 + * + * Target Processor: Cortex-M cores + * -------------------------------------------------------------------- */ +/* + * Copyright (C) 2010-2017 ARM Limited or its affiliates. All rights reserved. + * + * SPDX-License-Identifier: Apache-2.0 + * + * Licensed under the Apache License, Version 2.0 (the License); you may + * not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an AS IS BASIS, WITHOUT + * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ + +#include "arm_math.h" + +/** + * @ingroup groupFilters + */ + +/** + * @addtogroup Conv + * @{ + */ + +/** + * @param[in] *pSrcA points to the first input sequence. + * @param[in] srcALen length of the first input sequence. + * @param[in] *pSrcB points to the second input sequence. + * @param[in] srcBLen length of the second input sequence. + * @param[out] *pDst points to the location where the output result is written. Length srcALen+srcBLen-1. + * @return none. + * + * @details + * Scaling and Overflow Behavior: + * + * \par + * This function is optimized for speed at the expense of fixed-point precision and overflow protection. + * The result of each 1.31 x 1.31 multiplication is truncated to 2.30 format. + * These intermediate results are accumulated in a 32-bit register in 2.30 format. + * Finally, the accumulator is saturated and converted to a 1.31 result. + * + * \par + * The fast version has the same overflow behavior as the standard version but provides less precision since it discards the low 32 bits of each multiplication result. + * In order to avoid overflows completely the input signals must be scaled down. + * Scale down the inputs by log2(min(srcALen, srcBLen)) (log2 is read as log to the base 2) times to avoid overflows, + * as maximum of min(srcALen, srcBLen) number of additions are carried internally. + * + * \par + * See arm_conv_q31() for a slower implementation of this function which uses 64-bit accumulation to provide higher precision. + */ + +void arm_conv_fast_q31( + q31_t * pSrcA, + uint32_t srcALen, + q31_t * pSrcB, + uint32_t srcBLen, + q31_t * pDst) +{ + q31_t *pIn1; /* inputA pointer */ + q31_t *pIn2; /* inputB pointer */ + q31_t *pOut = pDst; /* output pointer */ + q31_t *px; /* Intermediate inputA pointer */ + q31_t *py; /* Intermediate inputB pointer */ + q31_t *pSrc1, *pSrc2; /* Intermediate pointers */ + q31_t sum, acc0, acc1, acc2, acc3; /* Accumulator */ + q31_t x0, x1, x2, x3, c0; /* Temporary variables to hold state and coefficient values */ + uint32_t j, k, count, blkCnt, blockSize1, blockSize2, blockSize3; /* loop counter */ + + /* The algorithm implementation is based on the lengths of the inputs. */ + /* srcB is always made to slide across srcA. */ + /* So srcBLen is always considered as shorter or equal to srcALen */ + if (srcALen >= srcBLen) + { + /* Initialization of inputA pointer */ + pIn1 = pSrcA; + + /* Initialization of inputB pointer */ + pIn2 = pSrcB; + } + else + { + /* Initialization of inputA pointer */ + pIn1 = pSrcB; + + /* Initialization of inputB pointer */ + pIn2 = pSrcA; + + /* srcBLen is always considered as shorter or equal to srcALen */ + j = srcBLen; + srcBLen = srcALen; + srcALen = j; + } + + /* conv(x,y) at n = x[n] * y[0] + x[n-1] * y[1] + x[n-2] * y[2] + ...+ x[n-N+1] * y[N -1] */ + /* The function is internally + * divided into three stages according to the number of multiplications that has to be + * taken place between inputA samples and inputB samples. In the first stage of the + * algorithm, the multiplications increase by one for every iteration. + * In the second stage of the algorithm, srcBLen number of multiplications are done. + * In the third stage of the algorithm, the multiplications decrease by one + * for every iteration. */ + + /* The algorithm is implemented in three stages. + The loop counters of each stage is initiated here. */ + blockSize1 = srcBLen - 1U; + blockSize2 = srcALen - (srcBLen - 1U); + blockSize3 = blockSize1; + + /* -------------------------- + * Initializations of stage1 + * -------------------------*/ + + /* sum = x[0] * y[0] + * sum = x[0] * y[1] + x[1] * y[0] + * .... + * sum = x[0] * y[srcBlen - 1] + x[1] * y[srcBlen - 2] +...+ x[srcBLen - 1] * y[0] + */ + + /* In this stage the MAC operations are increased by 1 for every iteration. + The count variable holds the number of MAC operations performed */ + count = 1U; + + /* Working pointer of inputA */ + px = pIn1; + + /* Working pointer of inputB */ + py = pIn2; + + + /* ------------------------ + * Stage1 process + * ----------------------*/ + + /* The first stage starts here */ + while (blockSize1 > 0U) + { + /* Accumulator is made zero for every iteration */ + sum = 0; + + /* Apply loop unrolling and compute 4 MACs simultaneously. */ + k = count >> 2U; + + /* First part of the processing with loop unrolling. Compute 4 MACs at a time. + ** a second loop below computes MACs for the remaining 1 to 3 samples. */ + while (k > 0U) + { + /* x[0] * y[srcBLen - 1] */ + sum = (q31_t) ((((q63_t) sum << 32) + + ((q63_t) * px++ * (*py--))) >> 32); + + /* x[1] * y[srcBLen - 2] */ + sum = (q31_t) ((((q63_t) sum << 32) + + ((q63_t) * px++ * (*py--))) >> 32); + + /* x[2] * y[srcBLen - 3] */ + sum = (q31_t) ((((q63_t) sum << 32) + + ((q63_t) * px++ * (*py--))) >> 32); + + /* x[3] * y[srcBLen - 4] */ + sum = (q31_t) ((((q63_t) sum << 32) + + ((q63_t) * px++ * (*py--))) >> 32); + + /* Decrement the loop counter */ + k--; + } + + /* If the count is not a multiple of 4, compute any remaining MACs here. + ** No loop unrolling is used. */ + k = count % 0x4U; + + while (k > 0U) + { + /* Perform the multiply-accumulate */ + sum = (q31_t) ((((q63_t) sum << 32) + + ((q63_t) * px++ * (*py--))) >> 32); + + /* Decrement the loop counter */ + k--; + } + + /* Store the result in the accumulator in the destination buffer. */ + *pOut++ = sum << 1; + + /* Update the inputA and inputB pointers for next MAC calculation */ + py = pIn2 + count; + px = pIn1; + + /* Increment the MAC count */ + count++; + + /* Decrement the loop counter */ + blockSize1--; + } + + /* -------------------------- + * Initializations of stage2 + * ------------------------*/ + + /* sum = x[0] * y[srcBLen-1] + x[1] * y[srcBLen-2] +...+ x[srcBLen-1] * y[0] + * sum = x[1] * y[srcBLen-1] + x[2] * y[srcBLen-2] +...+ x[srcBLen] * y[0] + * .... + * sum = x[srcALen-srcBLen-2] * y[srcBLen-1] + x[srcALen] * y[srcBLen-2] +...+ x[srcALen-1] * y[0] + */ + + /* Working pointer of inputA */ + px = pIn1; + + /* Working pointer of inputB */ + pSrc2 = pIn2 + (srcBLen - 1U); + py = pSrc2; + + /* count is index by which the pointer pIn1 to be incremented */ + count = 0U; + + /* ------------------- + * Stage2 process + * ------------------*/ + + /* Stage2 depends on srcBLen as in this stage srcBLen number of MACS are performed. + * So, to loop unroll over blockSize2, + * srcBLen should be greater than or equal to 4 */ + if (srcBLen >= 4U) + { + /* Loop unroll over blockSize2, by 4 */ + blkCnt = blockSize2 >> 2U; + + while (blkCnt > 0U) + { + /* Set all accumulators to zero */ + acc0 = 0; + acc1 = 0; + acc2 = 0; + acc3 = 0; + + /* read x[0], x[1], x[2] samples */ + x0 = *(px++); + x1 = *(px++); + x2 = *(px++); + + /* Apply loop unrolling and compute 4 MACs simultaneously. */ + k = srcBLen >> 2U; + + /* First part of the processing with loop unrolling. Compute 4 MACs at a time. + ** a second loop below computes MACs for the remaining 1 to 3 samples. */ + do + { + /* Read y[srcBLen - 1] sample */ + c0 = *(py--); + + /* Read x[3] sample */ + x3 = *(px++); + + /* Perform the multiply-accumulates */ + /* acc0 += x[0] * y[srcBLen - 1] */ + acc0 = (q31_t) ((((q63_t) acc0 << 32) + ((q63_t) x0 * c0)) >> 32); + + /* acc1 += x[1] * y[srcBLen - 1] */ + acc1 = (q31_t) ((((q63_t) acc1 << 32) + ((q63_t) x1 * c0)) >> 32); + + /* acc2 += x[2] * y[srcBLen - 1] */ + acc2 = (q31_t) ((((q63_t) acc2 << 32) + ((q63_t) x2 * c0)) >> 32); + + /* acc3 += x[3] * y[srcBLen - 1] */ + acc3 = (q31_t) ((((q63_t) acc3 << 32) + ((q63_t) x3 * c0)) >> 32); + + /* Read y[srcBLen - 2] sample */ + c0 = *(py--); + + /* Read x[4] sample */ + x0 = *(px++); + + /* Perform the multiply-accumulate */ + /* acc0 += x[1] * y[srcBLen - 2] */ + acc0 = (q31_t) ((((q63_t) acc0 << 32) + ((q63_t) x1 * c0)) >> 32); + /* acc1 += x[2] * y[srcBLen - 2] */ + acc1 = (q31_t) ((((q63_t) acc1 << 32) + ((q63_t) x2 * c0)) >> 32); + /* acc2 += x[3] * y[srcBLen - 2] */ + acc2 = (q31_t) ((((q63_t) acc2 << 32) + ((q63_t) x3 * c0)) >> 32); + /* acc3 += x[4] * y[srcBLen - 2] */ + acc3 = (q31_t) ((((q63_t) acc3 << 32) + ((q63_t) x0 * c0)) >> 32); + + /* Read y[srcBLen - 3] sample */ + c0 = *(py--); + + /* Read x[5] sample */ + x1 = *(px++); + + /* Perform the multiply-accumulates */ + /* acc0 += x[2] * y[srcBLen - 3] */ + acc0 = (q31_t) ((((q63_t) acc0 << 32) + ((q63_t) x2 * c0)) >> 32); + /* acc1 += x[3] * y[srcBLen - 3] */ + acc1 = (q31_t) ((((q63_t) acc1 << 32) + ((q63_t) x3 * c0)) >> 32); + /* acc2 += x[4] * y[srcBLen - 3] */ + acc2 = (q31_t) ((((q63_t) acc2 << 32) + ((q63_t) x0 * c0)) >> 32); + /* acc3 += x[5] * y[srcBLen - 3] */ + acc3 = (q31_t) ((((q63_t) acc3 << 32) + ((q63_t) x1 * c0)) >> 32); + + /* Read y[srcBLen - 4] sample */ + c0 = *(py--); + + /* Read x[6] sample */ + x2 = *(px++); + + /* Perform the multiply-accumulates */ + /* acc0 += x[3] * y[srcBLen - 4] */ + acc0 = (q31_t) ((((q63_t) acc0 << 32) + ((q63_t) x3 * c0)) >> 32); + /* acc1 += x[4] * y[srcBLen - 4] */ + acc1 = (q31_t) ((((q63_t) acc1 << 32) + ((q63_t) x0 * c0)) >> 32); + /* acc2 += x[5] * y[srcBLen - 4] */ + acc2 = (q31_t) ((((q63_t) acc2 << 32) + ((q63_t) x1 * c0)) >> 32); + /* acc3 += x[6] * y[srcBLen - 4] */ + acc3 = (q31_t) ((((q63_t) acc3 << 32) + ((q63_t) x2 * c0)) >> 32); + + + } while (--k); + + /* If the srcBLen is not a multiple of 4, compute any remaining MACs here. + ** No loop unrolling is used. */ + k = srcBLen % 0x4U; + + while (k > 0U) + { + /* Read y[srcBLen - 5] sample */ + c0 = *(py--); + + /* Read x[7] sample */ + x3 = *(px++); + + /* Perform the multiply-accumulates */ + /* acc0 += x[4] * y[srcBLen - 5] */ + acc0 = (q31_t) ((((q63_t) acc0 << 32) + ((q63_t) x0 * c0)) >> 32); + /* acc1 += x[5] * y[srcBLen - 5] */ + acc1 = (q31_t) ((((q63_t) acc1 << 32) + ((q63_t) x1 * c0)) >> 32); + /* acc2 += x[6] * y[srcBLen - 5] */ + acc2 = (q31_t) ((((q63_t) acc2 << 32) + ((q63_t) x2 * c0)) >> 32); + /* acc3 += x[7] * y[srcBLen - 5] */ + acc3 = (q31_t) ((((q63_t) acc3 << 32) + ((q63_t) x3 * c0)) >> 32); + + /* Reuse the present samples for the next MAC */ + x0 = x1; + x1 = x2; + x2 = x3; + + /* Decrement the loop counter */ + k--; + } + + /* Store the results in the accumulators in the destination buffer. */ + *pOut++ = (q31_t) (acc0 << 1); + *pOut++ = (q31_t) (acc1 << 1); + *pOut++ = (q31_t) (acc2 << 1); + *pOut++ = (q31_t) (acc3 << 1); + + /* Increment the pointer pIn1 index, count by 4 */ + count += 4U; + + /* Update the inputA and inputB pointers for next MAC calculation */ + px = pIn1 + count; + py = pSrc2; + + /* Decrement the loop counter */ + blkCnt--; + } + + /* If the blockSize2 is not a multiple of 4, compute any remaining output samples here. + ** No loop unrolling is used. */ + blkCnt = blockSize2 % 0x4U; + + while (blkCnt > 0U) + { + /* Accumulator is made zero for every iteration */ + sum = 0; + + /* Apply loop unrolling and compute 4 MACs simultaneously. */ + k = srcBLen >> 2U; + + /* First part of the processing with loop unrolling. Compute 4 MACs at a time. + ** a second loop below computes MACs for the remaining 1 to 3 samples. */ + while (k > 0U) + { + /* Perform the multiply-accumulates */ + sum = (q31_t) ((((q63_t) sum << 32) + + ((q63_t) * px++ * (*py--))) >> 32); + sum = (q31_t) ((((q63_t) sum << 32) + + ((q63_t) * px++ * (*py--))) >> 32); + sum = (q31_t) ((((q63_t) sum << 32) + + ((q63_t) * px++ * (*py--))) >> 32); + sum = (q31_t) ((((q63_t) sum << 32) + + ((q63_t) * px++ * (*py--))) >> 32); + + /* Decrement the loop counter */ + k--; + } + + /* If the srcBLen is not a multiple of 4, compute any remaining MACs here. + ** No loop unrolling is used. */ + k = srcBLen % 0x4U; + + while (k > 0U) + { + /* Perform the multiply-accumulate */ + sum = (q31_t) ((((q63_t) sum << 32) + + ((q63_t) * px++ * (*py--))) >> 32); + + /* Decrement the loop counter */ + k--; + } + + /* Store the result in the accumulator in the destination buffer. */ + *pOut++ = sum << 1; + + /* Increment the MAC count */ + count++; + + /* Update the inputA and inputB pointers for next MAC calculation */ + px = pIn1 + count; + py = pSrc2; + + /* Decrement the loop counter */ + blkCnt--; + } + } + else + { + /* If the srcBLen is not a multiple of 4, + * the blockSize2 loop cannot be unrolled by 4 */ + blkCnt = blockSize2; + + while (blkCnt > 0U) + { + /* Accumulator is made zero for every iteration */ + sum = 0; + + /* srcBLen number of MACS should be performed */ + k = srcBLen; + + while (k > 0U) + { + /* Perform the multiply-accumulate */ + sum = (q31_t) ((((q63_t) sum << 32) + + ((q63_t) * px++ * (*py--))) >> 32); + + /* Decrement the loop counter */ + k--; + } + + /* Store the result in the accumulator in the destination buffer. */ + *pOut++ = sum << 1; + + /* Increment the MAC count */ + count++; + + /* Update the inputA and inputB pointers for next MAC calculation */ + px = pIn1 + count; + py = pSrc2; + + /* Decrement the loop counter */ + blkCnt--; + } + } + + + /* -------------------------- + * Initializations of stage3 + * -------------------------*/ + + /* sum += x[srcALen-srcBLen+1] * y[srcBLen-1] + x[srcALen-srcBLen+2] * y[srcBLen-2] +...+ x[srcALen-1] * y[1] + * sum += x[srcALen-srcBLen+2] * y[srcBLen-1] + x[srcALen-srcBLen+3] * y[srcBLen-2] +...+ x[srcALen-1] * y[2] + * .... + * sum += x[srcALen-2] * y[srcBLen-1] + x[srcALen-1] * y[srcBLen-2] + * sum += x[srcALen-1] * y[srcBLen-1] + */ + + /* In this stage the MAC operations are decreased by 1 for every iteration. + The blockSize3 variable holds the number of MAC operations performed */ + + /* Working pointer of inputA */ + pSrc1 = (pIn1 + srcALen) - (srcBLen - 1U); + px = pSrc1; + + /* Working pointer of inputB */ + pSrc2 = pIn2 + (srcBLen - 1U); + py = pSrc2; + + /* ------------------- + * Stage3 process + * ------------------*/ + + while (blockSize3 > 0U) + { + /* Accumulator is made zero for every iteration */ + sum = 0; + + /* Apply loop unrolling and compute 4 MACs simultaneously. */ + k = blockSize3 >> 2U; + + /* First part of the processing with loop unrolling. Compute 4 MACs at a time. + ** a second loop below computes MACs for the remaining 1 to 3 samples. */ + while (k > 0U) + { + /* sum += x[srcALen - srcBLen + 1] * y[srcBLen - 1] */ + sum = (q31_t) ((((q63_t) sum << 32) + + ((q63_t) * px++ * (*py--))) >> 32); + + /* sum += x[srcALen - srcBLen + 2] * y[srcBLen - 2] */ + sum = (q31_t) ((((q63_t) sum << 32) + + ((q63_t) * px++ * (*py--))) >> 32); + + /* sum += x[srcALen - srcBLen + 3] * y[srcBLen - 3] */ + sum = (q31_t) ((((q63_t) sum << 32) + + ((q63_t) * px++ * (*py--))) >> 32); + + /* sum += x[srcALen - srcBLen + 4] * y[srcBLen - 4] */ + sum = (q31_t) ((((q63_t) sum << 32) + + ((q63_t) * px++ * (*py--))) >> 32); + + /* Decrement the loop counter */ + k--; + } + + /* If the blockSize3 is not a multiple of 4, compute any remaining MACs here. + ** No loop unrolling is used. */ + k = blockSize3 % 0x4U; + + while (k > 0U) + { + /* Perform the multiply-accumulate */ + sum = (q31_t) ((((q63_t) sum << 32) + + ((q63_t) * px++ * (*py--))) >> 32); + + /* Decrement the loop counter */ + k--; + } + + /* Store the result in the accumulator in the destination buffer. */ + *pOut++ = sum << 1; + + /* Update the inputA and inputB pointers for next MAC calculation */ + px = ++pSrc1; + py = pSrc2; + + /* Decrement the loop counter */ + blockSize3--; + } + +} + +/** + * @} end of Conv group + */ diff --git a/fw/hid-dials/Drivers/CMSIS/DSP/Source/FilteringFunctions/arm_conv_opt_q15.c b/fw/hid-dials/Drivers/CMSIS/DSP/Source/FilteringFunctions/arm_conv_opt_q15.c new file mode 100644 index 0000000..47f6f84 --- /dev/null +++ b/fw/hid-dials/Drivers/CMSIS/DSP/Source/FilteringFunctions/arm_conv_opt_q15.c @@ -0,0 +1,533 @@ +/* ---------------------------------------------------------------------- + * Project: CMSIS DSP Library + * Title: arm_conv_opt_q15.c + * Description: Convolution of Q15 sequences + * + * $Date: 27. January 2017 + * $Revision: V.1.5.1 + * + * Target Processor: Cortex-M cores + * -------------------------------------------------------------------- */ +/* + * Copyright (C) 2010-2017 ARM Limited or its affiliates. All rights reserved. + * + * SPDX-License-Identifier: Apache-2.0 + * + * Licensed under the Apache License, Version 2.0 (the License); you may + * not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an AS IS BASIS, WITHOUT + * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ + +#include "arm_math.h" + +/** + * @ingroup groupFilters + */ + +/** + * @addtogroup Conv + * @{ + */ + +/** + * @brief Convolution of Q15 sequences. + * @param[in] *pSrcA points to the first input sequence. + * @param[in] srcALen length of the first input sequence. + * @param[in] *pSrcB points to the second input sequence. + * @param[in] srcBLen length of the second input sequence. + * @param[out] *pDst points to the location where the output result is written. Length srcALen+srcBLen-1. + * @param[in] *pScratch1 points to scratch buffer of size max(srcALen, srcBLen) + 2*min(srcALen, srcBLen) - 2. + * @param[in] *pScratch2 points to scratch buffer of size min(srcALen, srcBLen). + * @return none. + * + * \par Restrictions + * If the silicon does not support unaligned memory access enable the macro UNALIGNED_SUPPORT_DISABLE + * In this case input, output, scratch1 and scratch2 buffers should be aligned by 32-bit + * + * + * @details + * Scaling and Overflow Behavior: + * + * \par + * The function is implemented using a 64-bit internal accumulator. + * Both inputs are in 1.15 format and multiplications yield a 2.30 result. + * The 2.30 intermediate results are accumulated in a 64-bit accumulator in 34.30 format. + * This approach provides 33 guard bits and there is no risk of overflow. + * The 34.30 result is then truncated to 34.15 format by discarding the low 15 bits and then saturated to 1.15 format. + * + * + * \par + * Refer to arm_conv_fast_q15() for a faster but less precise version of this function for Cortex-M3 and Cortex-M4. + * + * + */ + +void arm_conv_opt_q15( + q15_t * pSrcA, + uint32_t srcALen, + q15_t * pSrcB, + uint32_t srcBLen, + q15_t * pDst, + q15_t * pScratch1, + q15_t * pScratch2) +{ + q63_t acc0, acc1, acc2, acc3; /* Accumulator */ + q31_t x1, x2, x3; /* Temporary variables to hold state and coefficient values */ + q31_t y1, y2; /* State variables */ + q15_t *pOut = pDst; /* output pointer */ + q15_t *pScr1 = pScratch1; /* Temporary pointer for scratch1 */ + q15_t *pScr2 = pScratch2; /* Temporary pointer for scratch1 */ + q15_t *pIn1; /* inputA pointer */ + q15_t *pIn2; /* inputB pointer */ + q15_t *px; /* Intermediate inputA pointer */ + q15_t *py; /* Intermediate inputB pointer */ + uint32_t j, k, blkCnt; /* loop counter */ + uint32_t tapCnt; /* loop count */ +#ifdef UNALIGNED_SUPPORT_DISABLE + + q15_t a, b; + +#endif /* #ifndef UNALIGNED_SUPPORT_DISABLE */ + + /* The algorithm implementation is based on the lengths of the inputs. */ + /* srcB is always made to slide across srcA. */ + /* So srcBLen is always considered as shorter or equal to srcALen */ + if (srcALen >= srcBLen) + { + /* Initialization of inputA pointer */ + pIn1 = pSrcA; + + /* Initialization of inputB pointer */ + pIn2 = pSrcB; + + } + else + { + /* Initialization of inputA pointer */ + pIn1 = pSrcB; + + /* Initialization of inputB pointer */ + pIn2 = pSrcA; + + /* srcBLen is always considered as shorter or equal to srcALen */ + j = srcBLen; + srcBLen = srcALen; + srcALen = j; + } + + /* pointer to take end of scratch2 buffer */ + pScr2 = pScratch2 + srcBLen - 1; + + /* points to smaller length sequence */ + px = pIn2; + + /* Apply loop unrolling and do 4 Copies simultaneously. */ + k = srcBLen >> 2U; + + /* First part of the processing with loop unrolling copies 4 data points at a time. + ** a second loop below copies for the remaining 1 to 3 samples. */ + /* Copy smaller length input sequence in reverse order into second scratch buffer */ + while (k > 0U) + { + /* copy second buffer in reversal manner */ + *pScr2-- = *px++; + *pScr2-- = *px++; + *pScr2-- = *px++; + *pScr2-- = *px++; + + /* Decrement the loop counter */ + k--; + } + + /* If the count is not a multiple of 4, copy remaining samples here. + ** No loop unrolling is used. */ + k = srcBLen % 0x4U; + + while (k > 0U) + { + /* copy second buffer in reversal manner for remaining samples */ + *pScr2-- = *px++; + + /* Decrement the loop counter */ + k--; + } + + /* Initialze temporary scratch pointer */ + pScr1 = pScratch1; + + /* Assuming scratch1 buffer is aligned by 32-bit */ + /* Fill (srcBLen - 1U) zeros in scratch buffer */ + arm_fill_q15(0, pScr1, (srcBLen - 1U)); + + /* Update temporary scratch pointer */ + pScr1 += (srcBLen - 1U); + + /* Copy bigger length sequence(srcALen) samples in scratch1 buffer */ + +#ifndef UNALIGNED_SUPPORT_DISABLE + + /* Copy (srcALen) samples in scratch buffer */ + arm_copy_q15(pIn1, pScr1, srcALen); + + /* Update pointers */ + pScr1 += srcALen; + +#else + + /* Apply loop unrolling and do 4 Copies simultaneously. */ + k = srcALen >> 2U; + + /* First part of the processing with loop unrolling copies 4 data points at a time. + ** a second loop below copies for the remaining 1 to 3 samples. */ + while (k > 0U) + { + /* copy second buffer in reversal manner */ + *pScr1++ = *pIn1++; + *pScr1++ = *pIn1++; + *pScr1++ = *pIn1++; + *pScr1++ = *pIn1++; + + /* Decrement the loop counter */ + k--; + } + + /* If the count is not a multiple of 4, copy remaining samples here. + ** No loop unrolling is used. */ + k = srcALen % 0x4U; + + while (k > 0U) + { + /* copy second buffer in reversal manner for remaining samples */ + *pScr1++ = *pIn1++; + + /* Decrement the loop counter */ + k--; + } + +#endif + + +#ifndef UNALIGNED_SUPPORT_DISABLE + + /* Fill (srcBLen - 1U) zeros at end of scratch buffer */ + arm_fill_q15(0, pScr1, (srcBLen - 1U)); + + /* Update pointer */ + pScr1 += (srcBLen - 1U); + +#else + + /* Apply loop unrolling and do 4 Copies simultaneously. */ + k = (srcBLen - 1U) >> 2U; + + /* First part of the processing with loop unrolling copies 4 data points at a time. + ** a second loop below copies for the remaining 1 to 3 samples. */ + while (k > 0U) + { + /* copy second buffer in reversal manner */ + *pScr1++ = 0; + *pScr1++ = 0; + *pScr1++ = 0; + *pScr1++ = 0; + + /* Decrement the loop counter */ + k--; + } + + /* If the count is not a multiple of 4, copy remaining samples here. + ** No loop unrolling is used. */ + k = (srcBLen - 1U) % 0x4U; + + while (k > 0U) + { + /* copy second buffer in reversal manner for remaining samples */ + *pScr1++ = 0; + + /* Decrement the loop counter */ + k--; + } + +#endif + + /* Temporary pointer for scratch2 */ + py = pScratch2; + + + /* Initialization of pIn2 pointer */ + pIn2 = py; + + /* First part of the processing with loop unrolling process 4 data points at a time. + ** a second loop below process for the remaining 1 to 3 samples. */ + + /* Actual convolution process starts here */ + blkCnt = (srcALen + srcBLen - 1U) >> 2; + + while (blkCnt > 0) + { + /* Initialze temporary scratch pointer as scratch1 */ + pScr1 = pScratch1; + + /* Clear Accumlators */ + acc0 = 0; + acc1 = 0; + acc2 = 0; + acc3 = 0; + + /* Read two samples from scratch1 buffer */ + x1 = *__SIMD32(pScr1)++; + + /* Read next two samples from scratch1 buffer */ + x2 = *__SIMD32(pScr1)++; + + tapCnt = (srcBLen) >> 2U; + + while (tapCnt > 0U) + { + +#ifndef UNALIGNED_SUPPORT_DISABLE + + /* Read four samples from smaller buffer */ + y1 = _SIMD32_OFFSET(pIn2); + y2 = _SIMD32_OFFSET(pIn2 + 2U); + + /* multiply and accumlate */ + acc0 = __SMLALD(x1, y1, acc0); + acc2 = __SMLALD(x2, y1, acc2); + + /* pack input data */ +#ifndef ARM_MATH_BIG_ENDIAN + x3 = __PKHBT(x2, x1, 0); +#else + x3 = __PKHBT(x1, x2, 0); +#endif + + /* multiply and accumlate */ + acc1 = __SMLALDX(x3, y1, acc1); + + /* Read next two samples from scratch1 buffer */ + x1 = _SIMD32_OFFSET(pScr1); + + /* multiply and accumlate */ + acc0 = __SMLALD(x2, y2, acc0); + acc2 = __SMLALD(x1, y2, acc2); + + /* pack input data */ +#ifndef ARM_MATH_BIG_ENDIAN + x3 = __PKHBT(x1, x2, 0); +#else + x3 = __PKHBT(x2, x1, 0); +#endif + + acc3 = __SMLALDX(x3, y1, acc3); + acc1 = __SMLALDX(x3, y2, acc1); + + x2 = _SIMD32_OFFSET(pScr1 + 2U); + +#ifndef ARM_MATH_BIG_ENDIAN + x3 = __PKHBT(x2, x1, 0); +#else + x3 = __PKHBT(x1, x2, 0); +#endif + + acc3 = __SMLALDX(x3, y2, acc3); + +#else + + /* Read four samples from smaller buffer */ + a = *pIn2; + b = *(pIn2 + 1); + +#ifndef ARM_MATH_BIG_ENDIAN + y1 = __PKHBT(a, b, 16); +#else + y1 = __PKHBT(b, a, 16); +#endif + + a = *(pIn2 + 2); + b = *(pIn2 + 3); +#ifndef ARM_MATH_BIG_ENDIAN + y2 = __PKHBT(a, b, 16); +#else + y2 = __PKHBT(b, a, 16); +#endif + + acc0 = __SMLALD(x1, y1, acc0); + + acc2 = __SMLALD(x2, y1, acc2); + +#ifndef ARM_MATH_BIG_ENDIAN + x3 = __PKHBT(x2, x1, 0); +#else + x3 = __PKHBT(x1, x2, 0); +#endif + + acc1 = __SMLALDX(x3, y1, acc1); + + a = *pScr1; + b = *(pScr1 + 1); + +#ifndef ARM_MATH_BIG_ENDIAN + x1 = __PKHBT(a, b, 16); +#else + x1 = __PKHBT(b, a, 16); +#endif + + acc0 = __SMLALD(x2, y2, acc0); + + acc2 = __SMLALD(x1, y2, acc2); + +#ifndef ARM_MATH_BIG_ENDIAN + x3 = __PKHBT(x1, x2, 0); +#else + x3 = __PKHBT(x2, x1, 0); +#endif + + acc3 = __SMLALDX(x3, y1, acc3); + + acc1 = __SMLALDX(x3, y2, acc1); + + a = *(pScr1 + 2); + b = *(pScr1 + 3); + +#ifndef ARM_MATH_BIG_ENDIAN + x2 = __PKHBT(a, b, 16); +#else + x2 = __PKHBT(b, a, 16); +#endif + +#ifndef ARM_MATH_BIG_ENDIAN + x3 = __PKHBT(x2, x1, 0); +#else + x3 = __PKHBT(x1, x2, 0); +#endif + + acc3 = __SMLALDX(x3, y2, acc3); + +#endif /* #ifndef UNALIGNED_SUPPORT_DISABLE */ + + pIn2 += 4U; + pScr1 += 4U; + + + /* Decrement the loop counter */ + tapCnt--; + } + + /* Update scratch pointer for remaining samples of smaller length sequence */ + pScr1 -= 4U; + + /* apply same above for remaining samples of smaller length sequence */ + tapCnt = (srcBLen) & 3U; + + while (tapCnt > 0U) + { + + /* accumlate the results */ + acc0 += (*pScr1++ * *pIn2); + acc1 += (*pScr1++ * *pIn2); + acc2 += (*pScr1++ * *pIn2); + acc3 += (*pScr1++ * *pIn2++); + + pScr1 -= 3U; + + /* Decrement the loop counter */ + tapCnt--; + } + + blkCnt--; + + + /* Store the results in the accumulators in the destination buffer. */ + +#ifndef ARM_MATH_BIG_ENDIAN + + *__SIMD32(pOut)++ = + __PKHBT(__SSAT((acc0 >> 15), 16), __SSAT((acc1 >> 15), 16), 16); + + *__SIMD32(pOut)++ = + __PKHBT(__SSAT((acc2 >> 15), 16), __SSAT((acc3 >> 15), 16), 16); + +#else + + *__SIMD32(pOut)++ = + __PKHBT(__SSAT((acc1 >> 15), 16), __SSAT((acc0 >> 15), 16), 16); + + *__SIMD32(pOut)++ = + __PKHBT(__SSAT((acc3 >> 15), 16), __SSAT((acc2 >> 15), 16), 16); + + +#endif /* #ifndef ARM_MATH_BIG_ENDIAN */ + + /* Initialization of inputB pointer */ + pIn2 = py; + + pScratch1 += 4U; + + } + + + blkCnt = (srcALen + srcBLen - 1U) & 0x3; + + /* Calculate convolution for remaining samples of Bigger length sequence */ + while (blkCnt > 0) + { + /* Initialze temporary scratch pointer as scratch1 */ + pScr1 = pScratch1; + + /* Clear Accumlators */ + acc0 = 0; + + tapCnt = (srcBLen) >> 1U; + + while (tapCnt > 0U) + { + + /* Read next two samples from scratch1 buffer */ + acc0 += (*pScr1++ * *pIn2++); + acc0 += (*pScr1++ * *pIn2++); + + /* Decrement the loop counter */ + tapCnt--; + } + + tapCnt = (srcBLen) & 1U; + + /* apply same above for remaining samples of smaller length sequence */ + while (tapCnt > 0U) + { + + /* accumlate the results */ + acc0 += (*pScr1++ * *pIn2++); + + /* Decrement the loop counter */ + tapCnt--; + } + + blkCnt--; + + /* The result is in 2.30 format. Convert to 1.15 with saturation. + ** Then store the output in the destination buffer. */ + *pOut++ = (q15_t) (__SSAT((acc0 >> 15), 16)); + + + /* Initialization of inputB pointer */ + pIn2 = py; + + pScratch1 += 1U; + + } + +} + + +/** + * @} end of Conv group + */ diff --git a/fw/hid-dials/Drivers/CMSIS/DSP/Source/FilteringFunctions/arm_conv_opt_q7.c b/fw/hid-dials/Drivers/CMSIS/DSP/Source/FilteringFunctions/arm_conv_opt_q7.c new file mode 100644 index 0000000..1dc2e49 --- /dev/null +++ b/fw/hid-dials/Drivers/CMSIS/DSP/Source/FilteringFunctions/arm_conv_opt_q7.c @@ -0,0 +1,423 @@ +/* ---------------------------------------------------------------------- + * Project: CMSIS DSP Library + * Title: arm_conv_opt_q7.c + * Description: Convolution of Q7 sequences + * + * $Date: 27. January 2017 + * $Revision: V.1.5.1 + * + * Target Processor: Cortex-M cores + * -------------------------------------------------------------------- */ +/* + * Copyright (C) 2010-2017 ARM Limited or its affiliates. All rights reserved. + * + * SPDX-License-Identifier: Apache-2.0 + * + * Licensed under the Apache License, Version 2.0 (the License); you may + * not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an AS IS BASIS, WITHOUT + * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ + +#include "arm_math.h" + +/** + * @ingroup groupFilters + */ + +/** + * @addtogroup Conv + * @{ + */ + +/** + * @brief Convolution of Q7 sequences. + * @param[in] *pSrcA points to the first input sequence. + * @param[in] srcALen length of the first input sequence. + * @param[in] *pSrcB points to the second input sequence. + * @param[in] srcBLen length of the second input sequence. + * @param[out] *pDst points to the location where the output result is written. Length srcALen+srcBLen-1. + * @param[in] *pScratch1 points to scratch buffer(of type q15_t) of size max(srcALen, srcBLen) + 2*min(srcALen, srcBLen) - 2. + * @param[in] *pScratch2 points to scratch buffer (of type q15_t) of size min(srcALen, srcBLen). + * @return none. + * + * \par Restrictions + * If the silicon does not support unaligned memory access enable the macro UNALIGNED_SUPPORT_DISABLE + * In this case input, output, scratch1 and scratch2 buffers should be aligned by 32-bit + * + * @details + * Scaling and Overflow Behavior: + * + * \par + * The function is implemented using a 32-bit internal accumulator. + * Both the inputs are represented in 1.7 format and multiplications yield a 2.14 result. + * The 2.14 intermediate results are accumulated in a 32-bit accumulator in 18.14 format. + * This approach provides 17 guard bits and there is no risk of overflow as long as max(srcALen, srcBLen)<131072. + * The 18.14 result is then truncated to 18.7 format by discarding the low 7 bits and then saturated to 1.7 format. + * + */ + +void arm_conv_opt_q7( + q7_t * pSrcA, + uint32_t srcALen, + q7_t * pSrcB, + uint32_t srcBLen, + q7_t * pDst, + q15_t * pScratch1, + q15_t * pScratch2) +{ + + q15_t *pScr2, *pScr1; /* Intermediate pointers for scratch pointers */ + q15_t x4; /* Temporary input variable */ + q7_t *pIn1, *pIn2; /* inputA and inputB pointer */ + uint32_t j, k, blkCnt, tapCnt; /* loop counter */ + q7_t *px; /* Temporary input1 pointer */ + q15_t *py; /* Temporary input2 pointer */ + q31_t acc0, acc1, acc2, acc3; /* Accumulator */ + q31_t x1, x2, x3, y1; /* Temporary input variables */ + q7_t *pOut = pDst; /* output pointer */ + q7_t out0, out1, out2, out3; /* temporary variables */ + + /* The algorithm implementation is based on the lengths of the inputs. */ + /* srcB is always made to slide across srcA. */ + /* So srcBLen is always considered as shorter or equal to srcALen */ + if (srcALen >= srcBLen) + { + /* Initialization of inputA pointer */ + pIn1 = pSrcA; + + /* Initialization of inputB pointer */ + pIn2 = pSrcB; + } + else + { + /* Initialization of inputA pointer */ + pIn1 = pSrcB; + + /* Initialization of inputB pointer */ + pIn2 = pSrcA; + + /* srcBLen is always considered as shorter or equal to srcALen */ + j = srcBLen; + srcBLen = srcALen; + srcALen = j; + } + + /* pointer to take end of scratch2 buffer */ + pScr2 = pScratch2; + + /* points to smaller length sequence */ + px = pIn2 + srcBLen - 1; + + /* Apply loop unrolling and do 4 Copies simultaneously. */ + k = srcBLen >> 2U; + + /* First part of the processing with loop unrolling copies 4 data points at a time. + ** a second loop below copies for the remaining 1 to 3 samples. */ + while (k > 0U) + { + /* copy second buffer in reversal manner */ + x4 = (q15_t) * px--; + *pScr2++ = x4; + x4 = (q15_t) * px--; + *pScr2++ = x4; + x4 = (q15_t) * px--; + *pScr2++ = x4; + x4 = (q15_t) * px--; + *pScr2++ = x4; + + /* Decrement the loop counter */ + k--; + } + + /* If the count is not a multiple of 4, copy remaining samples here. + ** No loop unrolling is used. */ + k = srcBLen % 0x4U; + + while (k > 0U) + { + /* copy second buffer in reversal manner for remaining samples */ + x4 = (q15_t) * px--; + *pScr2++ = x4; + + /* Decrement the loop counter */ + k--; + } + + /* Initialze temporary scratch pointer */ + pScr1 = pScratch1; + + /* Fill (srcBLen - 1U) zeros in scratch buffer */ + arm_fill_q15(0, pScr1, (srcBLen - 1U)); + + /* Update temporary scratch pointer */ + pScr1 += (srcBLen - 1U); + + /* Copy (srcALen) samples in scratch buffer */ + /* Apply loop unrolling and do 4 Copies simultaneously. */ + k = srcALen >> 2U; + + /* First part of the processing with loop unrolling copies 4 data points at a time. + ** a second loop below copies for the remaining 1 to 3 samples. */ + while (k > 0U) + { + /* copy second buffer in reversal manner */ + x4 = (q15_t) * pIn1++; + *pScr1++ = x4; + x4 = (q15_t) * pIn1++; + *pScr1++ = x4; + x4 = (q15_t) * pIn1++; + *pScr1++ = x4; + x4 = (q15_t) * pIn1++; + *pScr1++ = x4; + + /* Decrement the loop counter */ + k--; + } + + /* If the count is not a multiple of 4, copy remaining samples here. + ** No loop unrolling is used. */ + k = srcALen % 0x4U; + + while (k > 0U) + { + /* copy second buffer in reversal manner for remaining samples */ + x4 = (q15_t) * pIn1++; + *pScr1++ = x4; + + /* Decrement the loop counter */ + k--; + } + +#ifndef UNALIGNED_SUPPORT_DISABLE + + /* Fill (srcBLen - 1U) zeros at end of scratch buffer */ + arm_fill_q15(0, pScr1, (srcBLen - 1U)); + + /* Update pointer */ + pScr1 += (srcBLen - 1U); + +#else + + /* Apply loop unrolling and do 4 Copies simultaneously. */ + k = (srcBLen - 1U) >> 2U; + + /* First part of the processing with loop unrolling copies 4 data points at a time. + ** a second loop below copies for the remaining 1 to 3 samples. */ + while (k > 0U) + { + /* copy second buffer in reversal manner */ + *pScr1++ = 0; + *pScr1++ = 0; + *pScr1++ = 0; + *pScr1++ = 0; + + /* Decrement the loop counter */ + k--; + } + + /* If the count is not a multiple of 4, copy remaining samples here. + ** No loop unrolling is used. */ + k = (srcBLen - 1U) % 0x4U; + + while (k > 0U) + { + /* copy second buffer in reversal manner for remaining samples */ + *pScr1++ = 0; + + /* Decrement the loop counter */ + k--; + } + +#endif + + /* Temporary pointer for scratch2 */ + py = pScratch2; + + /* Initialization of pIn2 pointer */ + pIn2 = (q7_t *) py; + + pScr2 = py; + + /* Actual convolution process starts here */ + blkCnt = (srcALen + srcBLen - 1U) >> 2; + + while (blkCnt > 0) + { + /* Initialze temporary scratch pointer as scratch1 */ + pScr1 = pScratch1; + + /* Clear Accumlators */ + acc0 = 0; + acc1 = 0; + acc2 = 0; + acc3 = 0; + + /* Read two samples from scratch1 buffer */ + x1 = *__SIMD32(pScr1)++; + + /* Read next two samples from scratch1 buffer */ + x2 = *__SIMD32(pScr1)++; + + tapCnt = (srcBLen) >> 2U; + + while (tapCnt > 0U) + { + + /* Read four samples from smaller buffer */ + y1 = _SIMD32_OFFSET(pScr2); + + /* multiply and accumlate */ + acc0 = __SMLAD(x1, y1, acc0); + acc2 = __SMLAD(x2, y1, acc2); + + /* pack input data */ +#ifndef ARM_MATH_BIG_ENDIAN + x3 = __PKHBT(x2, x1, 0); +#else + x3 = __PKHBT(x1, x2, 0); +#endif + + /* multiply and accumlate */ + acc1 = __SMLADX(x3, y1, acc1); + + /* Read next two samples from scratch1 buffer */ + x1 = *__SIMD32(pScr1)++; + + /* pack input data */ +#ifndef ARM_MATH_BIG_ENDIAN + x3 = __PKHBT(x1, x2, 0); +#else + x3 = __PKHBT(x2, x1, 0); +#endif + + acc3 = __SMLADX(x3, y1, acc3); + + /* Read four samples from smaller buffer */ + y1 = _SIMD32_OFFSET(pScr2 + 2U); + + acc0 = __SMLAD(x2, y1, acc0); + + acc2 = __SMLAD(x1, y1, acc2); + + acc1 = __SMLADX(x3, y1, acc1); + + x2 = *__SIMD32(pScr1)++; + +#ifndef ARM_MATH_BIG_ENDIAN + x3 = __PKHBT(x2, x1, 0); +#else + x3 = __PKHBT(x1, x2, 0); +#endif + + acc3 = __SMLADX(x3, y1, acc3); + + pScr2 += 4U; + + + /* Decrement the loop counter */ + tapCnt--; + } + + + + /* Update scratch pointer for remaining samples of smaller length sequence */ + pScr1 -= 4U; + + + /* apply same above for remaining samples of smaller length sequence */ + tapCnt = (srcBLen) & 3U; + + while (tapCnt > 0U) + { + + /* accumlate the results */ + acc0 += (*pScr1++ * *pScr2); + acc1 += (*pScr1++ * *pScr2); + acc2 += (*pScr1++ * *pScr2); + acc3 += (*pScr1++ * *pScr2++); + + pScr1 -= 3U; + + /* Decrement the loop counter */ + tapCnt--; + } + + blkCnt--; + + /* Store the result in the accumulator in the destination buffer. */ + out0 = (q7_t) (__SSAT(acc0 >> 7U, 8)); + out1 = (q7_t) (__SSAT(acc1 >> 7U, 8)); + out2 = (q7_t) (__SSAT(acc2 >> 7U, 8)); + out3 = (q7_t) (__SSAT(acc3 >> 7U, 8)); + + *__SIMD32(pOut)++ = __PACKq7(out0, out1, out2, out3); + + /* Initialization of inputB pointer */ + pScr2 = py; + + pScratch1 += 4U; + + } + + + blkCnt = (srcALen + srcBLen - 1U) & 0x3; + + /* Calculate convolution for remaining samples of Bigger length sequence */ + while (blkCnt > 0) + { + /* Initialze temporary scratch pointer as scratch1 */ + pScr1 = pScratch1; + + /* Clear Accumlators */ + acc0 = 0; + + tapCnt = (srcBLen) >> 1U; + + while (tapCnt > 0U) + { + acc0 += (*pScr1++ * *pScr2++); + acc0 += (*pScr1++ * *pScr2++); + + /* Decrement the loop counter */ + tapCnt--; + } + + tapCnt = (srcBLen) & 1U; + + /* apply same above for remaining samples of smaller length sequence */ + while (tapCnt > 0U) + { + + /* accumlate the results */ + acc0 += (*pScr1++ * *pScr2++); + + /* Decrement the loop counter */ + tapCnt--; + } + + blkCnt--; + + /* Store the result in the accumulator in the destination buffer. */ + *pOut++ = (q7_t) (__SSAT(acc0 >> 7U, 8)); + + /* Initialization of inputB pointer */ + pScr2 = py; + + pScratch1 += 1U; + + } + +} + + +/** + * @} end of Conv group + */ diff --git a/fw/hid-dials/Drivers/CMSIS/DSP/Source/FilteringFunctions/arm_conv_partial_f32.c b/fw/hid-dials/Drivers/CMSIS/DSP/Source/FilteringFunctions/arm_conv_partial_f32.c new file mode 100644 index 0000000..9eae124 --- /dev/null +++ b/fw/hid-dials/Drivers/CMSIS/DSP/Source/FilteringFunctions/arm_conv_partial_f32.c @@ -0,0 +1,678 @@ +/* ---------------------------------------------------------------------- + * Project: CMSIS DSP Library + * Title: arm_conv_partial_f32.c + * Description: Partial convolution of floating-point sequences + * + * $Date: 27. January 2017 + * $Revision: V.1.5.1 + * + * Target Processor: Cortex-M cores + * -------------------------------------------------------------------- */ +/* + * Copyright (C) 2010-2017 ARM Limited or its affiliates. All rights reserved. + * + * SPDX-License-Identifier: Apache-2.0 + * + * Licensed under the Apache License, Version 2.0 (the License); you may + * not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an AS IS BASIS, WITHOUT + * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ + +#include "arm_math.h" + +/** + * @ingroup groupFilters + */ + +/** + * @defgroup PartialConv Partial Convolution + * + * Partial Convolution is equivalent to Convolution except that a subset of the output samples is generated. + * Each function has two additional arguments. + * firstIndex specifies the starting index of the subset of output samples. + * numPoints is the number of output samples to compute. + * The function computes the output in the range + * [firstIndex, ..., firstIndex+numPoints-1]. + * The output array pDst contains numPoints values. + * + * The allowable range of output indices is [0 srcALen+srcBLen-2]. + * If the requested subset does not fall in this range then the functions return ARM_MATH_ARGUMENT_ERROR. + * Otherwise the functions return ARM_MATH_SUCCESS. + * \note Refer arm_conv_f32() for details on fixed point behavior. + * + * + * Fast Versions + * + * \par + * Fast versions are supported for Q31 and Q15 of partial convolution. Cycles for Fast versions are less compared to Q31 and Q15 of partial conv and the design requires + * the input signals should be scaled down to avoid intermediate overflows. + * + * + * Opt Versions + * + * \par + * Opt versions are supported for Q15 and Q7. Design uses internal scratch buffer for getting good optimisation. + * These versions are optimised in cycles and consumes more memory(Scratch memory) compared to Q15 and Q7 versions of partial convolution + */ + +/** + * @addtogroup PartialConv + * @{ + */ + +/** + * @brief Partial convolution of floating-point sequences. + * @param[in] *pSrcA points to the first input sequence. + * @param[in] srcALen length of the first input sequence. + * @param[in] *pSrcB points to the second input sequence. + * @param[in] srcBLen length of the second input sequence. + * @param[out] *pDst points to the location where the output result is written. + * @param[in] firstIndex is the first output sample to start with. + * @param[in] numPoints is the number of output points to be computed. + * @return Returns either ARM_MATH_SUCCESS if the function completed correctly or ARM_MATH_ARGUMENT_ERROR if the requested subset is not in the range [0 srcALen+srcBLen-2]. + */ + +arm_status arm_conv_partial_f32( + float32_t * pSrcA, + uint32_t srcALen, + float32_t * pSrcB, + uint32_t srcBLen, + float32_t * pDst, + uint32_t firstIndex, + uint32_t numPoints) +{ + + +#if defined (ARM_MATH_DSP) + + /* Run the below code for Cortex-M4 and Cortex-M3 */ + + float32_t *pIn1 = pSrcA; /* inputA pointer */ + float32_t *pIn2 = pSrcB; /* inputB pointer */ + float32_t *pOut = pDst; /* output pointer */ + float32_t *px; /* Intermediate inputA pointer */ + float32_t *py; /* Intermediate inputB pointer */ + float32_t *pSrc1, *pSrc2; /* Intermediate pointers */ + float32_t sum, acc0, acc1, acc2, acc3; /* Accumulator */ + float32_t x0, x1, x2, x3, c0; /* Temporary variables to hold state and coefficient values */ + uint32_t j, k, count = 0U, blkCnt, check; + int32_t blockSize1, blockSize2, blockSize3; /* loop counters */ + arm_status status; /* status of Partial convolution */ + + + /* Check for range of output samples to be calculated */ + if ((firstIndex + numPoints) > ((srcALen + (srcBLen - 1U)))) + { + /* Set status as ARM_MATH_ARGUMENT_ERROR */ + status = ARM_MATH_ARGUMENT_ERROR; + } + else + { + + /* The algorithm implementation is based on the lengths of the inputs. */ + /* srcB is always made to slide across srcA. */ + /* So srcBLen is always considered as shorter or equal to srcALen */ + if (srcALen >= srcBLen) + { + /* Initialization of inputA pointer */ + pIn1 = pSrcA; + + /* Initialization of inputB pointer */ + pIn2 = pSrcB; + } + else + { + /* Initialization of inputA pointer */ + pIn1 = pSrcB; + + /* Initialization of inputB pointer */ + pIn2 = pSrcA; + + /* srcBLen is always considered as shorter or equal to srcALen */ + j = srcBLen; + srcBLen = srcALen; + srcALen = j; + } + + /* Conditions to check which loopCounter holds + * the first and last indices of the output samples to be calculated. */ + check = firstIndex + numPoints; + blockSize3 = ((int32_t)check > (int32_t)srcALen) ? (int32_t)check - (int32_t)srcALen : 0; + blockSize3 = ((int32_t)firstIndex > (int32_t)srcALen - 1) ? blockSize3 - (int32_t)firstIndex + (int32_t)srcALen : blockSize3; + blockSize1 = ((int32_t) srcBLen - 1) - (int32_t) firstIndex; + blockSize1 = (blockSize1 > 0) ? ((check > (srcBLen - 1U)) ? blockSize1 : + (int32_t) numPoints) : 0; + blockSize2 = ((int32_t) check - blockSize3) - + (blockSize1 + (int32_t) firstIndex); + blockSize2 = (blockSize2 > 0) ? blockSize2 : 0; + + /* conv(x,y) at n = x[n] * y[0] + x[n-1] * y[1] + x[n-2] * y[2] + ...+ x[n-N+1] * y[N -1] */ + /* The function is internally + * divided into three stages according to the number of multiplications that has to be + * taken place between inputA samples and inputB samples. In the first stage of the + * algorithm, the multiplications increase by one for every iteration. + * In the second stage of the algorithm, srcBLen number of multiplications are done. + * In the third stage of the algorithm, the multiplications decrease by one + * for every iteration. */ + + /* Set the output pointer to point to the firstIndex + * of the output sample to be calculated. */ + pOut = pDst + firstIndex; + + /* -------------------------- + * Initializations of stage1 + * -------------------------*/ + + /* sum = x[0] * y[0] + * sum = x[0] * y[1] + x[1] * y[0] + * .... + * sum = x[0] * y[srcBlen - 1] + x[1] * y[srcBlen - 2] +...+ x[srcBLen - 1] * y[0] + */ + + /* In this stage the MAC operations are increased by 1 for every iteration. + The count variable holds the number of MAC operations performed. + Since the partial convolution starts from from firstIndex + Number of Macs to be performed is firstIndex + 1 */ + count = 1U + firstIndex; + + /* Working pointer of inputA */ + px = pIn1; + + /* Working pointer of inputB */ + pSrc1 = pIn2 + firstIndex; + py = pSrc1; + + /* ------------------------ + * Stage1 process + * ----------------------*/ + + /* The first stage starts here */ + while (blockSize1 > 0) + { + /* Accumulator is made zero for every iteration */ + sum = 0.0f; + + /* Apply loop unrolling and compute 4 MACs simultaneously. */ + k = count >> 2U; + + /* First part of the processing with loop unrolling. Compute 4 MACs at a time. + ** a second loop below computes MACs for the remaining 1 to 3 samples. */ + while (k > 0U) + { + /* x[0] * y[srcBLen - 1] */ + sum += *px++ * *py--; + + /* x[1] * y[srcBLen - 2] */ + sum += *px++ * *py--; + + /* x[2] * y[srcBLen - 3] */ + sum += *px++ * *py--; + + /* x[3] * y[srcBLen - 4] */ + sum += *px++ * *py--; + + /* Decrement the loop counter */ + k--; + } + + /* If the count is not a multiple of 4, compute any remaining MACs here. + ** No loop unrolling is used. */ + k = count % 0x4U; + + while (k > 0U) + { + /* Perform the multiply-accumulates */ + sum += *px++ * *py--; + + /* Decrement the loop counter */ + k--; + } + + /* Store the result in the accumulator in the destination buffer. */ + *pOut++ = sum; + + /* Update the inputA and inputB pointers for next MAC calculation */ + py = ++pSrc1; + px = pIn1; + + /* Increment the MAC count */ + count++; + + /* Decrement the loop counter */ + blockSize1--; + } + + /* -------------------------- + * Initializations of stage2 + * ------------------------*/ + + /* sum = x[0] * y[srcBLen-1] + x[1] * y[srcBLen-2] +...+ x[srcBLen-1] * y[0] + * sum = x[1] * y[srcBLen-1] + x[2] * y[srcBLen-2] +...+ x[srcBLen] * y[0] + * .... + * sum = x[srcALen-srcBLen-2] * y[srcBLen-1] + x[srcALen] * y[srcBLen-2] +...+ x[srcALen-1] * y[0] + */ + + /* Working pointer of inputA */ + if ((int32_t)firstIndex - (int32_t)srcBLen + 1 > 0) + { + px = pIn1 + firstIndex - srcBLen + 1; + } + else + { + px = pIn1; + } + + /* Working pointer of inputB */ + pSrc2 = pIn2 + (srcBLen - 1U); + py = pSrc2; + + /* count is index by which the pointer pIn1 to be incremented */ + count = 0U; + + /* ------------------- + * Stage2 process + * ------------------*/ + + /* Stage2 depends on srcBLen as in this stage srcBLen number of MACS are performed. + * So, to loop unroll over blockSize2, + * srcBLen should be greater than or equal to 4 */ + if (srcBLen >= 4U) + { + /* Loop unroll over blockSize2, by 4 */ + blkCnt = ((uint32_t) blockSize2 >> 2U); + + while (blkCnt > 0U) + { + /* Set all accumulators to zero */ + acc0 = 0.0f; + acc1 = 0.0f; + acc2 = 0.0f; + acc3 = 0.0f; + + /* read x[0], x[1], x[2] samples */ + x0 = *(px++); + x1 = *(px++); + x2 = *(px++); + + /* Apply loop unrolling and compute 4 MACs simultaneously. */ + k = srcBLen >> 2U; + + /* First part of the processing with loop unrolling. Compute 4 MACs at a time. + ** a second loop below computes MACs for the remaining 1 to 3 samples. */ + do + { + /* Read y[srcBLen - 1] sample */ + c0 = *(py--); + + /* Read x[3] sample */ + x3 = *(px++); + + /* Perform the multiply-accumulate */ + /* acc0 += x[0] * y[srcBLen - 1] */ + acc0 += x0 * c0; + + /* acc1 += x[1] * y[srcBLen - 1] */ + acc1 += x1 * c0; + + /* acc2 += x[2] * y[srcBLen - 1] */ + acc2 += x2 * c0; + + /* acc3 += x[3] * y[srcBLen - 1] */ + acc3 += x3 * c0; + + /* Read y[srcBLen - 2] sample */ + c0 = *(py--); + + /* Read x[4] sample */ + x0 = *(px++); + + /* Perform the multiply-accumulate */ + /* acc0 += x[1] * y[srcBLen - 2] */ + acc0 += x1 * c0; + /* acc1 += x[2] * y[srcBLen - 2] */ + acc1 += x2 * c0; + /* acc2 += x[3] * y[srcBLen - 2] */ + acc2 += x3 * c0; + /* acc3 += x[4] * y[srcBLen - 2] */ + acc3 += x0 * c0; + + /* Read y[srcBLen - 3] sample */ + c0 = *(py--); + + /* Read x[5] sample */ + x1 = *(px++); + + /* Perform the multiply-accumulates */ + /* acc0 += x[2] * y[srcBLen - 3] */ + acc0 += x2 * c0; + /* acc1 += x[3] * y[srcBLen - 2] */ + acc1 += x3 * c0; + /* acc2 += x[4] * y[srcBLen - 2] */ + acc2 += x0 * c0; + /* acc3 += x[5] * y[srcBLen - 2] */ + acc3 += x1 * c0; + + /* Read y[srcBLen - 4] sample */ + c0 = *(py--); + + /* Read x[6] sample */ + x2 = *(px++); + + /* Perform the multiply-accumulates */ + /* acc0 += x[3] * y[srcBLen - 4] */ + acc0 += x3 * c0; + /* acc1 += x[4] * y[srcBLen - 4] */ + acc1 += x0 * c0; + /* acc2 += x[5] * y[srcBLen - 4] */ + acc2 += x1 * c0; + /* acc3 += x[6] * y[srcBLen - 4] */ + acc3 += x2 * c0; + + + } while (--k); + + /* If the srcBLen is not a multiple of 4, compute any remaining MACs here. + ** No loop unrolling is used. */ + k = srcBLen % 0x4U; + + while (k > 0U) + { + /* Read y[srcBLen - 5] sample */ + c0 = *(py--); + + /* Read x[7] sample */ + x3 = *(px++); + + /* Perform the multiply-accumulates */ + /* acc0 += x[4] * y[srcBLen - 5] */ + acc0 += x0 * c0; + /* acc1 += x[5] * y[srcBLen - 5] */ + acc1 += x1 * c0; + /* acc2 += x[6] * y[srcBLen - 5] */ + acc2 += x2 * c0; + /* acc3 += x[7] * y[srcBLen - 5] */ + acc3 += x3 * c0; + + /* Reuse the present samples for the next MAC */ + x0 = x1; + x1 = x2; + x2 = x3; + + /* Decrement the loop counter */ + k--; + } + + /* Store the result in the accumulator in the destination buffer. */ + *pOut++ = acc0; + *pOut++ = acc1; + *pOut++ = acc2; + *pOut++ = acc3; + + /* Increment the pointer pIn1 index, count by 1 */ + count += 4U; + + /* Update the inputA and inputB pointers for next MAC calculation */ + if ((int32_t)firstIndex - (int32_t)srcBLen + 1 > 0) + { + px = pIn1 + firstIndex - srcBLen + 1 + count; + } + else + { + px = pIn1 + count; + } + py = pSrc2; + + /* Decrement the loop counter */ + blkCnt--; + } + + /* If the blockSize2 is not a multiple of 4, compute any remaining output samples here. + ** No loop unrolling is used. */ + blkCnt = (uint32_t) blockSize2 % 0x4U; + + while (blkCnt > 0U) + { + /* Accumulator is made zero for every iteration */ + sum = 0.0f; + + /* Apply loop unrolling and compute 4 MACs simultaneously. */ + k = srcBLen >> 2U; + + /* First part of the processing with loop unrolling. Compute 4 MACs at a time. + ** a second loop below computes MACs for the remaining 1 to 3 samples. */ + while (k > 0U) + { + /* Perform the multiply-accumulates */ + sum += *px++ * *py--; + sum += *px++ * *py--; + sum += *px++ * *py--; + sum += *px++ * *py--; + + /* Decrement the loop counter */ + k--; + } + + /* If the srcBLen is not a multiple of 4, compute any remaining MACs here. + ** No loop unrolling is used. */ + k = srcBLen % 0x4U; + + while (k > 0U) + { + /* Perform the multiply-accumulate */ + sum += *px++ * *py--; + + /* Decrement the loop counter */ + k--; + } + + /* Store the result in the accumulator in the destination buffer. */ + *pOut++ = sum; + + /* Increment the MAC count */ + count++; + + /* Update the inputA and inputB pointers for next MAC calculation */ + if ((int32_t)firstIndex - (int32_t)srcBLen + 1 > 0) + { + px = pIn1 + firstIndex - srcBLen + 1 + count; + } + else + { + px = pIn1 + count; + } + py = pSrc2; + + /* Decrement the loop counter */ + blkCnt--; + } + } + else + { + /* If the srcBLen is not a multiple of 4, + * the blockSize2 loop cannot be unrolled by 4 */ + blkCnt = (uint32_t) blockSize2; + + while (blkCnt > 0U) + { + /* Accumulator is made zero for every iteration */ + sum = 0.0f; + + /* srcBLen number of MACS should be performed */ + k = srcBLen; + + while (k > 0U) + { + /* Perform the multiply-accumulate */ + sum += *px++ * *py--; + + /* Decrement the loop counter */ + k--; + } + + /* Store the result in the accumulator in the destination buffer. */ + *pOut++ = sum; + + /* Increment the MAC count */ + count++; + + /* Update the inputA and inputB pointers for next MAC calculation */ + if ((int32_t)firstIndex - (int32_t)srcBLen + 1 > 0) + { + px = pIn1 + firstIndex - srcBLen + 1 + count; + } + else + { + px = pIn1 + count; + } + py = pSrc2; + + /* Decrement the loop counter */ + blkCnt--; + } + } + + + /* -------------------------- + * Initializations of stage3 + * -------------------------*/ + + /* sum += x[srcALen-srcBLen+1] * y[srcBLen-1] + x[srcALen-srcBLen+2] * y[srcBLen-2] +...+ x[srcALen-1] * y[1] + * sum += x[srcALen-srcBLen+2] * y[srcBLen-1] + x[srcALen-srcBLen+3] * y[srcBLen-2] +...+ x[srcALen-1] * y[2] + * .... + * sum += x[srcALen-2] * y[srcBLen-1] + x[srcALen-1] * y[srcBLen-2] + * sum += x[srcALen-1] * y[srcBLen-1] + */ + + /* In this stage the MAC operations are decreased by 1 for every iteration. + The count variable holds the number of MAC operations performed */ + count = srcBLen - 1U; + + /* Working pointer of inputA */ + pSrc1 = (pIn1 + srcALen) - (srcBLen - 1U); + px = pSrc1; + + /* Working pointer of inputB */ + pSrc2 = pIn2 + (srcBLen - 1U); + py = pSrc2; + + while (blockSize3 > 0) + { + /* Accumulator is made zero for every iteration */ + sum = 0.0f; + + /* Apply loop unrolling and compute 4 MACs simultaneously. */ + k = count >> 2U; + + /* First part of the processing with loop unrolling. Compute 4 MACs at a time. + ** a second loop below computes MACs for the remaining 1 to 3 samples. */ + while (k > 0U) + { + /* sum += x[srcALen - srcBLen + 1] * y[srcBLen - 1] */ + sum += *px++ * *py--; + + /* sum += x[srcALen - srcBLen + 2] * y[srcBLen - 2] */ + sum += *px++ * *py--; + + /* sum += x[srcALen - srcBLen + 3] * y[srcBLen - 3] */ + sum += *px++ * *py--; + + /* sum += x[srcALen - srcBLen + 4] * y[srcBLen - 4] */ + sum += *px++ * *py--; + + /* Decrement the loop counter */ + k--; + } + + /* If the count is not a multiple of 4, compute any remaining MACs here. + ** No loop unrolling is used. */ + k = count % 0x4U; + + while (k > 0U) + { + /* Perform the multiply-accumulates */ + /* sum += x[srcALen-1] * y[srcBLen-1] */ + sum += *px++ * *py--; + + /* Decrement the loop counter */ + k--; + } + + /* Store the result in the accumulator in the destination buffer. */ + *pOut++ = sum; + + /* Update the inputA and inputB pointers for next MAC calculation */ + px = ++pSrc1; + py = pSrc2; + + /* Decrement the MAC count */ + count--; + + /* Decrement the loop counter */ + blockSize3--; + + } + + /* set status as ARM_MATH_SUCCESS */ + status = ARM_MATH_SUCCESS; + } + + /* Return to application */ + return (status); + +#else + + /* Run the below code for Cortex-M0 */ + + float32_t *pIn1 = pSrcA; /* inputA pointer */ + float32_t *pIn2 = pSrcB; /* inputB pointer */ + float32_t sum; /* Accumulator */ + uint32_t i, j; /* loop counters */ + arm_status status; /* status of Partial convolution */ + + /* Check for range of output samples to be calculated */ + if ((firstIndex + numPoints) > ((srcALen + (srcBLen - 1U)))) + { + /* Set status as ARM_ARGUMENT_ERROR */ + status = ARM_MATH_ARGUMENT_ERROR; + } + else + { + /* Loop to calculate convolution for output length number of values */ + for (i = firstIndex; i <= (firstIndex + numPoints - 1); i++) + { + /* Initialize sum with zero to carry on MAC operations */ + sum = 0.0f; + + /* Loop to perform MAC operations according to convolution equation */ + for (j = 0U; j <= i; j++) + { + /* Check the array limitations for inputs */ + if ((((i - j) < srcBLen) && (j < srcALen))) + { + /* z[i] += x[i-j] * y[j] */ + sum += pIn1[j] * pIn2[i - j]; + } + } + /* Store the output in the destination buffer */ + pDst[i] = sum; + } + /* set status as ARM_SUCCESS as there are no argument errors */ + status = ARM_MATH_SUCCESS; + } + return (status); + +#endif /* #if defined (ARM_MATH_DSP) */ + +} + +/** + * @} end of PartialConv group + */ diff --git a/fw/hid-dials/Drivers/CMSIS/DSP/Source/FilteringFunctions/arm_conv_partial_fast_opt_q15.c b/fw/hid-dials/Drivers/CMSIS/DSP/Source/FilteringFunctions/arm_conv_partial_fast_opt_q15.c new file mode 100644 index 0000000..f469d1f --- /dev/null +++ b/fw/hid-dials/Drivers/CMSIS/DSP/Source/FilteringFunctions/arm_conv_partial_fast_opt_q15.c @@ -0,0 +1,756 @@ +/* ---------------------------------------------------------------------- + * Project: CMSIS DSP Library + * Title: arm_conv_partial_fast_opt_q15.c + * Description: Fast Q15 Partial convolution + * + * $Date: 27. January 2017 + * $Revision: V.1.5.1 + * + * Target Processor: Cortex-M cores + * -------------------------------------------------------------------- */ +/* + * Copyright (C) 2010-2017 ARM Limited or its affiliates. All rights reserved. + * + * SPDX-License-Identifier: Apache-2.0 + * + * Licensed under the Apache License, Version 2.0 (the License); you may + * not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an AS IS BASIS, WITHOUT + * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ + +#include "arm_math.h" + +/** + * @ingroup groupFilters + */ + +/** + * @addtogroup PartialConv + * @{ + */ + +/** + * @brief Partial convolution of Q15 sequences (fast version) for Cortex-M3 and Cortex-M4. + * @param[in] *pSrcA points to the first input sequence. + * @param[in] srcALen length of the first input sequence. + * @param[in] *pSrcB points to the second input sequence. + * @param[in] srcBLen length of the second input sequence. + * @param[out] *pDst points to the location where the output result is written. + * @param[in] firstIndex is the first output sample to start with. + * @param[in] numPoints is the number of output points to be computed. + * @param[in] *pScratch1 points to scratch buffer of size max(srcALen, srcBLen) + 2*min(srcALen, srcBLen) - 2. + * @param[in] *pScratch2 points to scratch buffer of size min(srcALen, srcBLen). + * @return Returns either ARM_MATH_SUCCESS if the function completed correctly or ARM_MATH_ARGUMENT_ERROR if the requested subset is not in the range [0 srcALen+srcBLen-2]. + * + * See arm_conv_partial_q15() for a slower implementation of this function which uses a 64-bit accumulator to avoid wrap around distortion. + * + * \par Restrictions + * If the silicon does not support unaligned memory access enable the macro UNALIGNED_SUPPORT_DISABLE + * In this case input, output, scratch1 and scratch2 buffers should be aligned by 32-bit + * + */ + +#ifndef UNALIGNED_SUPPORT_DISABLE + +arm_status arm_conv_partial_fast_opt_q15( + q15_t * pSrcA, + uint32_t srcALen, + q15_t * pSrcB, + uint32_t srcBLen, + q15_t * pDst, + uint32_t firstIndex, + uint32_t numPoints, + q15_t * pScratch1, + q15_t * pScratch2) +{ + + q15_t *pOut = pDst; /* output pointer */ + q15_t *pScr1 = pScratch1; /* Temporary pointer for scratch1 */ + q15_t *pScr2 = pScratch2; /* Temporary pointer for scratch1 */ + q31_t acc0, acc1, acc2, acc3; /* Accumulator */ + q31_t x1, x2, x3; /* Temporary variables to hold state and coefficient values */ + q31_t y1, y2; /* State variables */ + q15_t *pIn1; /* inputA pointer */ + q15_t *pIn2; /* inputB pointer */ + q15_t *px; /* Intermediate inputA pointer */ + q15_t *py; /* Intermediate inputB pointer */ + uint32_t j, k, blkCnt; /* loop counter */ + arm_status status; + + uint32_t tapCnt; /* loop count */ + + /* Check for range of output samples to be calculated */ + if ((firstIndex + numPoints) > ((srcALen + (srcBLen - 1U)))) + { + /* Set status as ARM_MATH_ARGUMENT_ERROR */ + status = ARM_MATH_ARGUMENT_ERROR; + } + else + { + + /* The algorithm implementation is based on the lengths of the inputs. */ + /* srcB is always made to slide across srcA. */ + /* So srcBLen is always considered as shorter or equal to srcALen */ + if (srcALen >= srcBLen) + { + /* Initialization of inputA pointer */ + pIn1 = pSrcA; + + /* Initialization of inputB pointer */ + pIn2 = pSrcB; + } + else + { + /* Initialization of inputA pointer */ + pIn1 = pSrcB; + + /* Initialization of inputB pointer */ + pIn2 = pSrcA; + + /* srcBLen is always considered as shorter or equal to srcALen */ + j = srcBLen; + srcBLen = srcALen; + srcALen = j; + } + + /* Temporary pointer for scratch2 */ + py = pScratch2; + + /* pointer to take end of scratch2 buffer */ + pScr2 = pScratch2 + srcBLen - 1; + + /* points to smaller length sequence */ + px = pIn2; + + /* Apply loop unrolling and do 4 Copies simultaneously. */ + k = srcBLen >> 2U; + + /* First part of the processing with loop unrolling copies 4 data points at a time. + ** a second loop below copies for the remaining 1 to 3 samples. */ + + /* Copy smaller length input sequence in reverse order into second scratch buffer */ + while (k > 0U) + { + /* copy second buffer in reversal manner */ + *pScr2-- = *px++; + *pScr2-- = *px++; + *pScr2-- = *px++; + *pScr2-- = *px++; + + /* Decrement the loop counter */ + k--; + } + + /* If the count is not a multiple of 4, copy remaining samples here. + ** No loop unrolling is used. */ + k = srcBLen % 0x4U; + + while (k > 0U) + { + /* copy second buffer in reversal manner for remaining samples */ + *pScr2-- = *px++; + + /* Decrement the loop counter */ + k--; + } + + /* Initialze temporary scratch pointer */ + pScr1 = pScratch1; + + /* Assuming scratch1 buffer is aligned by 32-bit */ + /* Fill (srcBLen - 1U) zeros in scratch buffer */ + arm_fill_q15(0, pScr1, (srcBLen - 1U)); + + /* Update temporary scratch pointer */ + pScr1 += (srcBLen - 1U); + + /* Copy bigger length sequence(srcALen) samples in scratch1 buffer */ + + /* Copy (srcALen) samples in scratch buffer */ + arm_copy_q15(pIn1, pScr1, srcALen); + + /* Update pointers */ + pScr1 += srcALen; + + /* Fill (srcBLen - 1U) zeros at end of scratch buffer */ + arm_fill_q15(0, pScr1, (srcBLen - 1U)); + + /* Update pointer */ + pScr1 += (srcBLen - 1U); + + /* Initialization of pIn2 pointer */ + pIn2 = py; + + pScratch1 += firstIndex; + + pOut = pDst + firstIndex; + + /* First part of the processing with loop unrolling process 4 data points at a time. + ** a second loop below process for the remaining 1 to 3 samples. */ + + /* Actual convolution process starts here */ + blkCnt = (numPoints) >> 2; + + while (blkCnt > 0) + { + /* Initialze temporary scratch pointer as scratch1 */ + pScr1 = pScratch1; + + /* Clear Accumlators */ + acc0 = 0; + acc1 = 0; + acc2 = 0; + acc3 = 0; + + /* Read two samples from scratch1 buffer */ + x1 = *__SIMD32(pScr1)++; + + /* Read next two samples from scratch1 buffer */ + x2 = *__SIMD32(pScr1)++; + + tapCnt = (srcBLen) >> 2U; + + while (tapCnt > 0U) + { + + /* Read four samples from smaller buffer */ + y1 = _SIMD32_OFFSET(pIn2); + y2 = _SIMD32_OFFSET(pIn2 + 2U); + + /* multiply and accumlate */ + acc0 = __SMLAD(x1, y1, acc0); + acc2 = __SMLAD(x2, y1, acc2); + + /* pack input data */ +#ifndef ARM_MATH_BIG_ENDIAN + x3 = __PKHBT(x2, x1, 0); +#else + x3 = __PKHBT(x1, x2, 0); +#endif + + /* multiply and accumlate */ + acc1 = __SMLADX(x3, y1, acc1); + + /* Read next two samples from scratch1 buffer */ + x1 = _SIMD32_OFFSET(pScr1); + + /* multiply and accumlate */ + acc0 = __SMLAD(x2, y2, acc0); + + acc2 = __SMLAD(x1, y2, acc2); + + /* pack input data */ +#ifndef ARM_MATH_BIG_ENDIAN + x3 = __PKHBT(x1, x2, 0); +#else + x3 = __PKHBT(x2, x1, 0); +#endif + + acc3 = __SMLADX(x3, y1, acc3); + acc1 = __SMLADX(x3, y2, acc1); + + x2 = _SIMD32_OFFSET(pScr1 + 2U); + +#ifndef ARM_MATH_BIG_ENDIAN + x3 = __PKHBT(x2, x1, 0); +#else + x3 = __PKHBT(x1, x2, 0); +#endif + + acc3 = __SMLADX(x3, y2, acc3); + + /* update scratch pointers */ + pIn2 += 4U; + pScr1 += 4U; + + + /* Decrement the loop counter */ + tapCnt--; + } + + /* Update scratch pointer for remaining samples of smaller length sequence */ + pScr1 -= 4U; + + /* apply same above for remaining samples of smaller length sequence */ + tapCnt = (srcBLen) & 3U; + + while (tapCnt > 0U) + { + + /* accumlate the results */ + acc0 += (*pScr1++ * *pIn2); + acc1 += (*pScr1++ * *pIn2); + acc2 += (*pScr1++ * *pIn2); + acc3 += (*pScr1++ * *pIn2++); + + pScr1 -= 3U; + + /* Decrement the loop counter */ + tapCnt--; + } + + blkCnt--; + + + /* Store the results in the accumulators in the destination buffer. */ + +#ifndef ARM_MATH_BIG_ENDIAN + + *__SIMD32(pOut)++ = + __PKHBT(__SSAT((acc0 >> 15), 16), __SSAT((acc1 >> 15), 16), 16); + *__SIMD32(pOut)++ = + __PKHBT(__SSAT((acc2 >> 15), 16), __SSAT((acc3 >> 15), 16), 16); + +#else + + *__SIMD32(pOut)++ = + __PKHBT(__SSAT((acc1 >> 15), 16), __SSAT((acc0 >> 15), 16), 16); + *__SIMD32(pOut)++ = + __PKHBT(__SSAT((acc3 >> 15), 16), __SSAT((acc2 >> 15), 16), 16); + +#endif /* #ifndef ARM_MATH_BIG_ENDIAN */ + + /* Initialization of inputB pointer */ + pIn2 = py; + + pScratch1 += 4U; + + } + + + blkCnt = numPoints & 0x3; + + /* Calculate convolution for remaining samples of Bigger length sequence */ + while (blkCnt > 0) + { + /* Initialze temporary scratch pointer as scratch1 */ + pScr1 = pScratch1; + + /* Clear Accumlators */ + acc0 = 0; + + tapCnt = (srcBLen) >> 1U; + + while (tapCnt > 0U) + { + + /* Read next two samples from scratch1 buffer */ + x1 = *__SIMD32(pScr1)++; + + /* Read two samples from smaller buffer */ + y1 = *__SIMD32(pIn2)++; + + acc0 = __SMLAD(x1, y1, acc0); + + /* Decrement the loop counter */ + tapCnt--; + } + + tapCnt = (srcBLen) & 1U; + + /* apply same above for remaining samples of smaller length sequence */ + while (tapCnt > 0U) + { + + /* accumlate the results */ + acc0 += (*pScr1++ * *pIn2++); + + /* Decrement the loop counter */ + tapCnt--; + } + + blkCnt--; + + /* The result is in 2.30 format. Convert to 1.15 with saturation. + ** Then store the output in the destination buffer. */ + *pOut++ = (q15_t) (__SSAT((acc0 >> 15), 16)); + + /* Initialization of inputB pointer */ + pIn2 = py; + + pScratch1 += 1U; + + } + /* set status as ARM_MATH_SUCCESS */ + status = ARM_MATH_SUCCESS; + } + /* Return to application */ + return (status); +} + +#else + +arm_status arm_conv_partial_fast_opt_q15( + q15_t * pSrcA, + uint32_t srcALen, + q15_t * pSrcB, + uint32_t srcBLen, + q15_t * pDst, + uint32_t firstIndex, + uint32_t numPoints, + q15_t * pScratch1, + q15_t * pScratch2) +{ + + q15_t *pOut = pDst; /* output pointer */ + q15_t *pScr1 = pScratch1; /* Temporary pointer for scratch1 */ + q15_t *pScr2 = pScratch2; /* Temporary pointer for scratch1 */ + q31_t acc0, acc1, acc2, acc3; /* Accumulator */ + q15_t *pIn1; /* inputA pointer */ + q15_t *pIn2; /* inputB pointer */ + q15_t *px; /* Intermediate inputA pointer */ + q15_t *py; /* Intermediate inputB pointer */ + uint32_t j, k, blkCnt; /* loop counter */ + arm_status status; /* Status variable */ + uint32_t tapCnt; /* loop count */ + q15_t x10, x11, x20, x21; /* Temporary variables to hold srcA buffer */ + q15_t y10, y11; /* Temporary variables to hold srcB buffer */ + + + /* Check for range of output samples to be calculated */ + if ((firstIndex + numPoints) > ((srcALen + (srcBLen - 1U)))) + { + /* Set status as ARM_MATH_ARGUMENT_ERROR */ + status = ARM_MATH_ARGUMENT_ERROR; + } + else + { + + /* The algorithm implementation is based on the lengths of the inputs. */ + /* srcB is always made to slide across srcA. */ + /* So srcBLen is always considered as shorter or equal to srcALen */ + if (srcALen >= srcBLen) + { + /* Initialization of inputA pointer */ + pIn1 = pSrcA; + + /* Initialization of inputB pointer */ + pIn2 = pSrcB; + } + else + { + /* Initialization of inputA pointer */ + pIn1 = pSrcB; + + /* Initialization of inputB pointer */ + pIn2 = pSrcA; + + /* srcBLen is always considered as shorter or equal to srcALen */ + j = srcBLen; + srcBLen = srcALen; + srcALen = j; + } + + /* Temporary pointer for scratch2 */ + py = pScratch2; + + /* pointer to take end of scratch2 buffer */ + pScr2 = pScratch2 + srcBLen - 1; + + /* points to smaller length sequence */ + px = pIn2; + + /* Apply loop unrolling and do 4 Copies simultaneously. */ + k = srcBLen >> 2U; + + /* First part of the processing with loop unrolling copies 4 data points at a time. + ** a second loop below copies for the remaining 1 to 3 samples. */ + while (k > 0U) + { + /* copy second buffer in reversal manner */ + *pScr2-- = *px++; + *pScr2-- = *px++; + *pScr2-- = *px++; + *pScr2-- = *px++; + + /* Decrement the loop counter */ + k--; + } + + /* If the count is not a multiple of 4, copy remaining samples here. + ** No loop unrolling is used. */ + k = srcBLen % 0x4U; + + while (k > 0U) + { + /* copy second buffer in reversal manner for remaining samples */ + *pScr2-- = *px++; + + /* Decrement the loop counter */ + k--; + } + + /* Initialze temporary scratch pointer */ + pScr1 = pScratch1; + + /* Fill (srcBLen - 1U) zeros in scratch buffer */ + arm_fill_q15(0, pScr1, (srcBLen - 1U)); + + /* Update temporary scratch pointer */ + pScr1 += (srcBLen - 1U); + + /* Copy bigger length sequence(srcALen) samples in scratch1 buffer */ + + + /* Apply loop unrolling and do 4 Copies simultaneously. */ + k = srcALen >> 2U; + + /* First part of the processing with loop unrolling copies 4 data points at a time. + ** a second loop below copies for the remaining 1 to 3 samples. */ + while (k > 0U) + { + /* copy second buffer in reversal manner */ + *pScr1++ = *pIn1++; + *pScr1++ = *pIn1++; + *pScr1++ = *pIn1++; + *pScr1++ = *pIn1++; + + /* Decrement the loop counter */ + k--; + } + + /* If the count is not a multiple of 4, copy remaining samples here. + ** No loop unrolling is used. */ + k = srcALen % 0x4U; + + while (k > 0U) + { + /* copy second buffer in reversal manner for remaining samples */ + *pScr1++ = *pIn1++; + + /* Decrement the loop counter */ + k--; + } + + + /* Apply loop unrolling and do 4 Copies simultaneously. */ + k = (srcBLen - 1U) >> 2U; + + /* First part of the processing with loop unrolling copies 4 data points at a time. + ** a second loop below copies for the remaining 1 to 3 samples. */ + while (k > 0U) + { + /* copy second buffer in reversal manner */ + *pScr1++ = 0; + *pScr1++ = 0; + *pScr1++ = 0; + *pScr1++ = 0; + + /* Decrement the loop counter */ + k--; + } + + /* If the count is not a multiple of 4, copy remaining samples here. + ** No loop unrolling is used. */ + k = (srcBLen - 1U) % 0x4U; + + while (k > 0U) + { + /* copy second buffer in reversal manner for remaining samples */ + *pScr1++ = 0; + + /* Decrement the loop counter */ + k--; + } + + + /* Initialization of pIn2 pointer */ + pIn2 = py; + + pScratch1 += firstIndex; + + pOut = pDst + firstIndex; + + /* Actual convolution process starts here */ + blkCnt = (numPoints) >> 2; + + while (blkCnt > 0) + { + /* Initialze temporary scratch pointer as scratch1 */ + pScr1 = pScratch1; + + /* Clear Accumlators */ + acc0 = 0; + acc1 = 0; + acc2 = 0; + acc3 = 0; + + /* Read two samples from scratch1 buffer */ + x10 = *pScr1++; + x11 = *pScr1++; + + /* Read next two samples from scratch1 buffer */ + x20 = *pScr1++; + x21 = *pScr1++; + + tapCnt = (srcBLen) >> 2U; + + while (tapCnt > 0U) + { + + /* Read two samples from smaller buffer */ + y10 = *pIn2; + y11 = *(pIn2 + 1U); + + /* multiply and accumlate */ + acc0 += (q31_t) x10 *y10; + acc0 += (q31_t) x11 *y11; + acc2 += (q31_t) x20 *y10; + acc2 += (q31_t) x21 *y11; + + /* multiply and accumlate */ + acc1 += (q31_t) x11 *y10; + acc1 += (q31_t) x20 *y11; + + /* Read next two samples from scratch1 buffer */ + x10 = *pScr1; + x11 = *(pScr1 + 1U); + + /* multiply and accumlate */ + acc3 += (q31_t) x21 *y10; + acc3 += (q31_t) x10 *y11; + + /* Read next two samples from scratch2 buffer */ + y10 = *(pIn2 + 2U); + y11 = *(pIn2 + 3U); + + /* multiply and accumlate */ + acc0 += (q31_t) x20 *y10; + acc0 += (q31_t) x21 *y11; + acc2 += (q31_t) x10 *y10; + acc2 += (q31_t) x11 *y11; + acc1 += (q31_t) x21 *y10; + acc1 += (q31_t) x10 *y11; + + /* Read next two samples from scratch1 buffer */ + x20 = *(pScr1 + 2); + x21 = *(pScr1 + 3); + + /* multiply and accumlate */ + acc3 += (q31_t) x11 *y10; + acc3 += (q31_t) x20 *y11; + + /* update scratch pointers */ + pIn2 += 4U; + pScr1 += 4U; + + /* Decrement the loop counter */ + tapCnt--; + } + + /* Update scratch pointer for remaining samples of smaller length sequence */ + pScr1 -= 4U; + + /* apply same above for remaining samples of smaller length sequence */ + tapCnt = (srcBLen) & 3U; + + while (tapCnt > 0U) + { + /* accumlate the results */ + acc0 += (*pScr1++ * *pIn2); + acc1 += (*pScr1++ * *pIn2); + acc2 += (*pScr1++ * *pIn2); + acc3 += (*pScr1++ * *pIn2++); + + pScr1 -= 3U; + + /* Decrement the loop counter */ + tapCnt--; + } + + blkCnt--; + + + /* Store the results in the accumulators in the destination buffer. */ + *pOut++ = __SSAT((acc0 >> 15), 16); + *pOut++ = __SSAT((acc1 >> 15), 16); + *pOut++ = __SSAT((acc2 >> 15), 16); + *pOut++ = __SSAT((acc3 >> 15), 16); + + /* Initialization of inputB pointer */ + pIn2 = py; + + pScratch1 += 4U; + + } + + + blkCnt = numPoints & 0x3; + + /* Calculate convolution for remaining samples of Bigger length sequence */ + while (blkCnt > 0) + { + /* Initialze temporary scratch pointer as scratch1 */ + pScr1 = pScratch1; + + /* Clear Accumlators */ + acc0 = 0; + + tapCnt = (srcBLen) >> 1U; + + while (tapCnt > 0U) + { + + /* Read next two samples from scratch1 buffer */ + x10 = *pScr1++; + x11 = *pScr1++; + + /* Read two samples from smaller buffer */ + y10 = *pIn2++; + y11 = *pIn2++; + + /* multiply and accumlate */ + acc0 += (q31_t) x10 *y10; + acc0 += (q31_t) x11 *y11; + + /* Decrement the loop counter */ + tapCnt--; + } + + tapCnt = (srcBLen) & 1U; + + /* apply same above for remaining samples of smaller length sequence */ + while (tapCnt > 0U) + { + + /* accumlate the results */ + acc0 += (*pScr1++ * *pIn2++); + + /* Decrement the loop counter */ + tapCnt--; + } + + blkCnt--; + + /* Store the result in the accumulator in the destination buffer. */ + *pOut++ = (q15_t) (__SSAT((acc0 >> 15), 16)); + + /* Initialization of inputB pointer */ + pIn2 = py; + + pScratch1 += 1U; + + } + + /* set status as ARM_MATH_SUCCESS */ + status = ARM_MATH_SUCCESS; + + } + + /* Return to application */ + return (status); +} + +#endif /* #ifndef UNALIGNED_SUPPORT_DISABLE */ + +/** + * @} end of PartialConv group + */ diff --git a/fw/hid-dials/Drivers/CMSIS/DSP/Source/FilteringFunctions/arm_conv_partial_fast_q15.c b/fw/hid-dials/Drivers/CMSIS/DSP/Source/FilteringFunctions/arm_conv_partial_fast_q15.c new file mode 100644 index 0000000..0d4486a --- /dev/null +++ b/fw/hid-dials/Drivers/CMSIS/DSP/Source/FilteringFunctions/arm_conv_partial_fast_q15.c @@ -0,0 +1,1494 @@ +/* ---------------------------------------------------------------------- + * Project: CMSIS DSP Library + * Title: arm_conv_partial_fast_q15.c + * Description: Fast Q15 Partial convolution + * + * $Date: 27. January 2017 + * $Revision: V.1.5.1 + * + * Target Processor: Cortex-M cores + * -------------------------------------------------------------------- */ +/* + * Copyright (C) 2010-2017 ARM Limited or its affiliates. All rights reserved. + * + * SPDX-License-Identifier: Apache-2.0 + * + * Licensed under the Apache License, Version 2.0 (the License); you may + * not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an AS IS BASIS, WITHOUT + * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ + +#include "arm_math.h" + +/** + * @ingroup groupFilters + */ + +/** + * @addtogroup PartialConv + * @{ + */ + +/** + * @brief Partial convolution of Q15 sequences (fast version) for Cortex-M3 and Cortex-M4. + * @param[in] *pSrcA points to the first input sequence. + * @param[in] srcALen length of the first input sequence. + * @param[in] *pSrcB points to the second input sequence. + * @param[in] srcBLen length of the second input sequence. + * @param[out] *pDst points to the location where the output result is written. + * @param[in] firstIndex is the first output sample to start with. + * @param[in] numPoints is the number of output points to be computed. + * @return Returns either ARM_MATH_SUCCESS if the function completed correctly or ARM_MATH_ARGUMENT_ERROR if the requested subset is not in the range [0 srcALen+srcBLen-2]. + * + * See arm_conv_partial_q15() for a slower implementation of this function which uses a 64-bit accumulator to avoid wrap around distortion. + */ + + +arm_status arm_conv_partial_fast_q15( + q15_t * pSrcA, + uint32_t srcALen, + q15_t * pSrcB, + uint32_t srcBLen, + q15_t * pDst, + uint32_t firstIndex, + uint32_t numPoints) +{ +#ifndef UNALIGNED_SUPPORT_DISABLE + + q15_t *pIn1; /* inputA pointer */ + q15_t *pIn2; /* inputB pointer */ + q15_t *pOut = pDst; /* output pointer */ + q31_t sum, acc0, acc1, acc2, acc3; /* Accumulator */ + q15_t *px; /* Intermediate inputA pointer */ + q15_t *py; /* Intermediate inputB pointer */ + q15_t *pSrc1, *pSrc2; /* Intermediate pointers */ + q31_t x0, x1, x2, x3, c0; + uint32_t j, k, count, check, blkCnt; + int32_t blockSize1, blockSize2, blockSize3; /* loop counters */ + arm_status status; /* status of Partial convolution */ + + /* Check for range of output samples to be calculated */ + if ((firstIndex + numPoints) > ((srcALen + (srcBLen - 1U)))) + { + /* Set status as ARM_MATH_ARGUMENT_ERROR */ + status = ARM_MATH_ARGUMENT_ERROR; + } + else + { + + /* The algorithm implementation is based on the lengths of the inputs. */ + /* srcB is always made to slide across srcA. */ + /* So srcBLen is always considered as shorter or equal to srcALen */ + if (srcALen >=srcBLen) + { + /* Initialization of inputA pointer */ + pIn1 = pSrcA; + + /* Initialization of inputB pointer */ + pIn2 = pSrcB; + } + else + { + /* Initialization of inputA pointer */ + pIn1 = pSrcB; + + /* Initialization of inputB pointer */ + pIn2 = pSrcA; + + /* srcBLen is always considered as shorter or equal to srcALen */ + j = srcBLen; + srcBLen = srcALen; + srcALen = j; + } + + /* Conditions to check which loopCounter holds + * the first and last indices of the output samples to be calculated. */ + check = firstIndex + numPoints; + blockSize3 = ((int32_t)check > (int32_t)srcALen) ? (int32_t)check - (int32_t)srcALen : 0; + blockSize3 = ((int32_t)firstIndex > (int32_t)srcALen - 1) ? blockSize3 - (int32_t)firstIndex + (int32_t)srcALen : blockSize3; + blockSize1 = (((int32_t) srcBLen - 1) - (int32_t) firstIndex); + blockSize1 = (blockSize1 > 0) ? ((check > (srcBLen - 1U)) ? blockSize1 : + (int32_t) numPoints) : 0; + blockSize2 = (int32_t) check - ((blockSize3 + blockSize1) + + (int32_t) firstIndex); + blockSize2 = (blockSize2 > 0) ? blockSize2 : 0; + + /* conv(x,y) at n = x[n] * y[0] + x[n-1] * y[1] + x[n-2] * y[2] + ...+ x[n-N+1] * y[N -1] */ + /* The function is internally + * divided into three stages according to the number of multiplications that has to be + * taken place between inputA samples and inputB samples. In the first stage of the + * algorithm, the multiplications increase by one for every iteration. + * In the second stage of the algorithm, srcBLen number of multiplications are done. + * In the third stage of the algorithm, the multiplications decrease by one + * for every iteration. */ + + /* Set the output pointer to point to the firstIndex + * of the output sample to be calculated. */ + pOut = pDst + firstIndex; + + /* -------------------------- + * Initializations of stage1 + * -------------------------*/ + + /* sum = x[0] * y[0] + * sum = x[0] * y[1] + x[1] * y[0] + * .... + * sum = x[0] * y[srcBlen - 1] + x[1] * y[srcBlen - 2] +...+ x[srcBLen - 1] * y[0] + */ + + /* In this stage the MAC operations are increased by 1 for every iteration. + The count variable holds the number of MAC operations performed. + Since the partial convolution starts from firstIndex + Number of Macs to be performed is firstIndex + 1 */ + count = 1U + firstIndex; + + /* Working pointer of inputA */ + px = pIn1; + + /* Working pointer of inputB */ + pSrc2 = pIn2 + firstIndex; + py = pSrc2; + + /* ------------------------ + * Stage1 process + * ----------------------*/ + + /* For loop unrolling by 4, this stage is divided into two. */ + /* First part of this stage computes the MAC operations less than 4 */ + /* Second part of this stage computes the MAC operations greater than or equal to 4 */ + + /* The first part of the stage starts here */ + while ((count < 4U) && (blockSize1 > 0)) + { + /* Accumulator is made zero for every iteration */ + sum = 0; + + /* Loop over number of MAC operations between + * inputA samples and inputB samples */ + k = count; + + while (k > 0U) + { + /* Perform the multiply-accumulates */ + sum = __SMLAD(*px++, *py--, sum); + + /* Decrement the loop counter */ + k--; + } + + /* Store the result in the accumulator in the destination buffer. */ + *pOut++ = (q15_t) (sum >> 15); + + /* Update the inputA and inputB pointers for next MAC calculation */ + py = ++pSrc2; + px = pIn1; + + /* Increment the MAC count */ + count++; + + /* Decrement the loop counter */ + blockSize1--; + } + + /* The second part of the stage starts here */ + /* The internal loop, over count, is unrolled by 4 */ + /* To, read the last two inputB samples using SIMD: + * y[srcBLen] and y[srcBLen-1] coefficients, py is decremented by 1 */ + py = py - 1; + + while (blockSize1 > 0) + { + /* Accumulator is made zero for every iteration */ + sum = 0; + + /* Apply loop unrolling and compute 4 MACs simultaneously. */ + k = count >> 2U; + + /* First part of the processing with loop unrolling. Compute 4 MACs at a time. + ** a second loop below computes MACs for the remaining 1 to 3 samples. */ + while (k > 0U) + { + /* Perform the multiply-accumulates */ + /* x[0], x[1] are multiplied with y[srcBLen - 1], y[srcBLen - 2] respectively */ + sum = __SMLADX(*__SIMD32(px)++, *__SIMD32(py)--, sum); + /* x[2], x[3] are multiplied with y[srcBLen - 3], y[srcBLen - 4] respectively */ + sum = __SMLADX(*__SIMD32(px)++, *__SIMD32(py)--, sum); + + /* Decrement the loop counter */ + k--; + } + + /* For the next MAC operations, the pointer py is used without SIMD + * So, py is incremented by 1 */ + py = py + 1U; + + /* If the count is not a multiple of 4, compute any remaining MACs here. + ** No loop unrolling is used. */ + k = count % 0x4U; + + while (k > 0U) + { + /* Perform the multiply-accumulates */ + sum = __SMLAD(*px++, *py--, sum); + + /* Decrement the loop counter */ + k--; + } + + /* Store the result in the accumulator in the destination buffer. */ + *pOut++ = (q15_t) (sum >> 15); + + /* Update the inputA and inputB pointers for next MAC calculation */ + py = ++pSrc2 - 1U; + px = pIn1; + + /* Increment the MAC count */ + count++; + + /* Decrement the loop counter */ + blockSize1--; + } + + /* -------------------------- + * Initializations of stage2 + * ------------------------*/ + + /* sum = x[0] * y[srcBLen-1] + x[1] * y[srcBLen-2] +...+ x[srcBLen-1] * y[0] + * sum = x[1] * y[srcBLen-1] + x[2] * y[srcBLen-2] +...+ x[srcBLen] * y[0] + * .... + * sum = x[srcALen-srcBLen-2] * y[srcBLen-1] + x[srcALen] * y[srcBLen-2] +...+ x[srcALen-1] * y[0] + */ + + /* Working pointer of inputA */ + if ((int32_t)firstIndex - (int32_t)srcBLen + 1 > 0) + { + px = pIn1 + firstIndex - srcBLen + 1; + } + else + { + px = pIn1; + } + + /* Working pointer of inputB */ + pSrc2 = pIn2 + (srcBLen - 1U); + py = pSrc2; + + /* count is the index by which the pointer pIn1 to be incremented */ + count = 0U; + + + /* -------------------- + * Stage2 process + * -------------------*/ + + /* Stage2 depends on srcBLen as in this stage srcBLen number of MACS are performed. + * So, to loop unroll over blockSize2, + * srcBLen should be greater than or equal to 4 */ + if (srcBLen >= 4U) + { + /* Loop unroll over blockSize2, by 4 */ + blkCnt = ((uint32_t) blockSize2 >> 2U); + + while (blkCnt > 0U) + { + py = py - 1U; + + /* Set all accumulators to zero */ + acc0 = 0; + acc1 = 0; + acc2 = 0; + acc3 = 0; + + + /* read x[0], x[1] samples */ + x0 = *__SIMD32(px); + /* read x[1], x[2] samples */ + x1 = _SIMD32_OFFSET(px+1); + px+= 2U; + + + /* Apply loop unrolling and compute 4 MACs simultaneously. */ + k = srcBLen >> 2U; + + /* First part of the processing with loop unrolling. Compute 4 MACs at a time. + ** a second loop below computes MACs for the remaining 1 to 3 samples. */ + do + { + /* Read the last two inputB samples using SIMD: + * y[srcBLen - 1] and y[srcBLen - 2] */ + c0 = *__SIMD32(py)--; + + /* acc0 += x[0] * y[srcBLen - 1] + x[1] * y[srcBLen - 2] */ + acc0 = __SMLADX(x0, c0, acc0); + + /* acc1 += x[1] * y[srcBLen - 1] + x[2] * y[srcBLen - 2] */ + acc1 = __SMLADX(x1, c0, acc1); + + /* Read x[2], x[3] */ + x2 = *__SIMD32(px); + + /* Read x[3], x[4] */ + x3 = _SIMD32_OFFSET(px+1); + + /* acc2 += x[2] * y[srcBLen - 1] + x[3] * y[srcBLen - 2] */ + acc2 = __SMLADX(x2, c0, acc2); + + /* acc3 += x[3] * y[srcBLen - 1] + x[4] * y[srcBLen - 2] */ + acc3 = __SMLADX(x3, c0, acc3); + + /* Read y[srcBLen - 3] and y[srcBLen - 4] */ + c0 = *__SIMD32(py)--; + + /* acc0 += x[2] * y[srcBLen - 3] + x[3] * y[srcBLen - 4] */ + acc0 = __SMLADX(x2, c0, acc0); + + /* acc1 += x[3] * y[srcBLen - 3] + x[4] * y[srcBLen - 4] */ + acc1 = __SMLADX(x3, c0, acc1); + + /* Read x[4], x[5] */ + x0 = _SIMD32_OFFSET(px+2); + + /* Read x[5], x[6] */ + x1 = _SIMD32_OFFSET(px+3); + px += 4U; + + /* acc2 += x[4] * y[srcBLen - 3] + x[5] * y[srcBLen - 4] */ + acc2 = __SMLADX(x0, c0, acc2); + + /* acc3 += x[5] * y[srcBLen - 3] + x[6] * y[srcBLen - 4] */ + acc3 = __SMLADX(x1, c0, acc3); + + } while (--k); + + /* For the next MAC operations, SIMD is not used + * So, the 16 bit pointer if inputB, py is updated */ + + /* If the srcBLen is not a multiple of 4, compute any remaining MACs here. + ** No loop unrolling is used. */ + k = srcBLen % 0x4U; + + if (k == 1U) + { + /* Read y[srcBLen - 5] */ + c0 = *(py+1); +#ifdef ARM_MATH_BIG_ENDIAN + + c0 = c0 << 16U; + +#else + + c0 = c0 & 0x0000FFFF; + +#endif /* #ifdef ARM_MATH_BIG_ENDIAN */ + + /* Read x[7] */ + x3 = *__SIMD32(px); + px++; + + /* Perform the multiply-accumulates */ + acc0 = __SMLAD(x0, c0, acc0); + acc1 = __SMLAD(x1, c0, acc1); + acc2 = __SMLADX(x1, c0, acc2); + acc3 = __SMLADX(x3, c0, acc3); + } + + if (k == 2U) + { + /* Read y[srcBLen - 5], y[srcBLen - 6] */ + c0 = _SIMD32_OFFSET(py); + + /* Read x[7], x[8] */ + x3 = *__SIMD32(px); + + /* Read x[9] */ + x2 = _SIMD32_OFFSET(px+1); + px += 2U; + + /* Perform the multiply-accumulates */ + acc0 = __SMLADX(x0, c0, acc0); + acc1 = __SMLADX(x1, c0, acc1); + acc2 = __SMLADX(x3, c0, acc2); + acc3 = __SMLADX(x2, c0, acc3); + } + + if (k == 3U) + { + /* Read y[srcBLen - 5], y[srcBLen - 6] */ + c0 = _SIMD32_OFFSET(py); + + /* Read x[7], x[8] */ + x3 = *__SIMD32(px); + + /* Read x[9] */ + x2 = _SIMD32_OFFSET(px+1); + + /* Perform the multiply-accumulates */ + acc0 = __SMLADX(x0, c0, acc0); + acc1 = __SMLADX(x1, c0, acc1); + acc2 = __SMLADX(x3, c0, acc2); + acc3 = __SMLADX(x2, c0, acc3); + + c0 = *(py-1); +#ifdef ARM_MATH_BIG_ENDIAN + + c0 = c0 << 16U; +#else + + c0 = c0 & 0x0000FFFF; +#endif /* #ifdef ARM_MATH_BIG_ENDIAN */ + + /* Read x[10] */ + x3 = _SIMD32_OFFSET(px+2); + px += 3U; + + /* Perform the multiply-accumulates */ + acc0 = __SMLADX(x1, c0, acc0); + acc1 = __SMLAD(x2, c0, acc1); + acc2 = __SMLADX(x2, c0, acc2); + acc3 = __SMLADX(x3, c0, acc3); + } + + /* Store the results in the accumulators in the destination buffer. */ +#ifndef ARM_MATH_BIG_ENDIAN + + *__SIMD32(pOut)++ = __PKHBT(acc0 >> 15, acc1 >> 15, 16); + *__SIMD32(pOut)++ = __PKHBT(acc2 >> 15, acc3 >> 15, 16); + +#else + + *__SIMD32(pOut)++ = __PKHBT(acc1 >> 15, acc0 >> 15, 16); + *__SIMD32(pOut)++ = __PKHBT(acc3 >> 15, acc2 >> 15, 16); + +#endif /* #ifndef ARM_MATH_BIG_ENDIAN */ + + /* Increment the pointer pIn1 index, count by 4 */ + count += 4U; + + /* Update the inputA and inputB pointers for next MAC calculation */ + px = pIn1 + count; + py = pSrc2; + + /* Decrement the loop counter */ + blkCnt--; + } + + /* If the blockSize2 is not a multiple of 4, compute any remaining output samples here. + ** No loop unrolling is used. */ + blkCnt = (uint32_t) blockSize2 % 0x4U; + + while (blkCnt > 0U) + { + /* Accumulator is made zero for every iteration */ + sum = 0; + + /* Apply loop unrolling and compute 4 MACs simultaneously. */ + k = srcBLen >> 2U; + + /* First part of the processing with loop unrolling. Compute 4 MACs at a time. + ** a second loop below computes MACs for the remaining 1 to 3 samples. */ + while (k > 0U) + { + /* Perform the multiply-accumulates */ + sum += ((q31_t) * px++ * *py--); + sum += ((q31_t) * px++ * *py--); + sum += ((q31_t) * px++ * *py--); + sum += ((q31_t) * px++ * *py--); + + /* Decrement the loop counter */ + k--; + } + + /* If the srcBLen is not a multiple of 4, compute any remaining MACs here. + ** No loop unrolling is used. */ + k = srcBLen % 0x4U; + + while (k > 0U) + { + /* Perform the multiply-accumulates */ + sum += ((q31_t) * px++ * *py--); + + /* Decrement the loop counter */ + k--; + } + + /* Store the result in the accumulator in the destination buffer. */ + *pOut++ = (q15_t) (sum >> 15); + + /* Increment the pointer pIn1 index, count by 1 */ + count++; + + /* Update the inputA and inputB pointers for next MAC calculation */ + if ((int32_t)firstIndex - (int32_t)srcBLen + 1 > 0) + { + px = pIn1 + firstIndex - srcBLen + 1 + count; + } + else + { + px = pIn1 + count; + } + py = pSrc2; + + /* Decrement the loop counter */ + blkCnt--; + } + } + else + { + /* If the srcBLen is not a multiple of 4, + * the blockSize2 loop cannot be unrolled by 4 */ + blkCnt = (uint32_t) blockSize2; + + while (blkCnt > 0U) + { + /* Accumulator is made zero for every iteration */ + sum = 0; + + /* srcBLen number of MACS should be performed */ + k = srcBLen; + + while (k > 0U) + { + /* Perform the multiply-accumulate */ + sum += ((q31_t) * px++ * *py--); + + /* Decrement the loop counter */ + k--; + } + + /* Store the result in the accumulator in the destination buffer. */ + *pOut++ = (q15_t) (sum >> 15); + + /* Increment the MAC count */ + count++; + + /* Update the inputA and inputB pointers for next MAC calculation */ + if ((int32_t)firstIndex - (int32_t)srcBLen + 1 > 0) + { + px = pIn1 + firstIndex - srcBLen + 1 + count; + } + else + { + px = pIn1 + count; + } + py = pSrc2; + + /* Decrement the loop counter */ + blkCnt--; + } + } + + + /* -------------------------- + * Initializations of stage3 + * -------------------------*/ + + /* sum += x[srcALen-srcBLen+1] * y[srcBLen-1] + x[srcALen-srcBLen+2] * y[srcBLen-2] +...+ x[srcALen-1] * y[1] + * sum += x[srcALen-srcBLen+2] * y[srcBLen-1] + x[srcALen-srcBLen+3] * y[srcBLen-2] +...+ x[srcALen-1] * y[2] + * .... + * sum += x[srcALen-2] * y[srcBLen-1] + x[srcALen-1] * y[srcBLen-2] + * sum += x[srcALen-1] * y[srcBLen-1] + */ + + /* In this stage the MAC operations are decreased by 1 for every iteration. + The count variable holds the number of MAC operations performed */ + count = srcBLen - 1U; + + /* Working pointer of inputA */ + pSrc1 = (pIn1 + srcALen) - (srcBLen - 1U); + px = pSrc1; + + /* Working pointer of inputB */ + pSrc2 = pIn2 + (srcBLen - 1U); + pIn2 = pSrc2 - 1U; + py = pIn2; + + /* ------------------- + * Stage3 process + * ------------------*/ + + /* For loop unrolling by 4, this stage is divided into two. */ + /* First part of this stage computes the MAC operations greater than 4 */ + /* Second part of this stage computes the MAC operations less than or equal to 4 */ + + /* The first part of the stage starts here */ + j = count >> 2U; + + while ((j > 0U) && (blockSize3 > 0)) + { + /* Accumulator is made zero for every iteration */ + sum = 0; + + /* Apply loop unrolling and compute 4 MACs simultaneously. */ + k = count >> 2U; + + /* First part of the processing with loop unrolling. Compute 4 MACs at a time. + ** a second loop below computes MACs for the remaining 1 to 3 samples. */ + while (k > 0U) + { + /* x[srcALen - srcBLen + 1], x[srcALen - srcBLen + 2] are multiplied + * with y[srcBLen - 1], y[srcBLen - 2] respectively */ + sum = __SMLADX(*__SIMD32(px)++, *__SIMD32(py)--, sum); + /* x[srcALen - srcBLen + 3], x[srcALen - srcBLen + 4] are multiplied + * with y[srcBLen - 3], y[srcBLen - 4] respectively */ + sum = __SMLADX(*__SIMD32(px)++, *__SIMD32(py)--, sum); + + /* Decrement the loop counter */ + k--; + } + + /* For the next MAC operations, the pointer py is used without SIMD + * So, py is incremented by 1 */ + py = py + 1U; + + /* If the count is not a multiple of 4, compute any remaining MACs here. + ** No loop unrolling is used. */ + k = count % 0x4U; + + while (k > 0U) + { + /* sum += x[srcALen - srcBLen + 5] * y[srcBLen - 5] */ + sum = __SMLAD(*px++, *py--, sum); + + /* Decrement the loop counter */ + k--; + } + + /* Store the result in the accumulator in the destination buffer. */ + *pOut++ = (q15_t) (sum >> 15); + + /* Update the inputA and inputB pointers for next MAC calculation */ + px = ++pSrc1; + py = pIn2; + + /* Decrement the MAC count */ + count--; + + /* Decrement the loop counter */ + blockSize3--; + + j--; + } + + /* The second part of the stage starts here */ + /* SIMD is not used for the next MAC operations, + * so pointer py is updated to read only one sample at a time */ + py = py + 1U; + + while (blockSize3 > 0) + { + /* Accumulator is made zero for every iteration */ + sum = 0; + + /* Apply loop unrolling and compute 4 MACs simultaneously. */ + k = count; + + while (k > 0U) + { + /* Perform the multiply-accumulates */ + /* sum += x[srcALen-1] * y[srcBLen-1] */ + sum = __SMLAD(*px++, *py--, sum); + + /* Decrement the loop counter */ + k--; + } + + /* Store the result in the accumulator in the destination buffer. */ + *pOut++ = (q15_t) (sum >> 15); + + /* Update the inputA and inputB pointers for next MAC calculation */ + px = ++pSrc1; + py = pSrc2; + + /* Decrement the MAC count */ + count--; + + /* Decrement the loop counter */ + blockSize3--; + } + + /* set status as ARM_MATH_SUCCESS */ + status = ARM_MATH_SUCCESS; + } + + /* Return to application */ + return (status); + +#else + + q15_t *pIn1; /* inputA pointer */ + q15_t *pIn2; /* inputB pointer */ + q15_t *pOut = pDst; /* output pointer */ + q31_t sum, acc0, acc1, acc2, acc3; /* Accumulator */ + q15_t *px; /* Intermediate inputA pointer */ + q15_t *py; /* Intermediate inputB pointer */ + q15_t *pSrc1, *pSrc2; /* Intermediate pointers */ + q31_t x0, x1, x2, x3, c0; + uint32_t j, k, count, check, blkCnt; + int32_t blockSize1, blockSize2, blockSize3; /* loop counters */ + arm_status status; /* status of Partial convolution */ + q15_t a, b; + + /* Check for range of output samples to be calculated */ + if ((firstIndex + numPoints) > ((srcALen + (srcBLen - 1U)))) + { + /* Set status as ARM_MATH_ARGUMENT_ERROR */ + status = ARM_MATH_ARGUMENT_ERROR; + } + else + { + + /* The algorithm implementation is based on the lengths of the inputs. */ + /* srcB is always made to slide across srcA. */ + /* So srcBLen is always considered as shorter or equal to srcALen */ + if (srcALen >=srcBLen) + { + /* Initialization of inputA pointer */ + pIn1 = pSrcA; + + /* Initialization of inputB pointer */ + pIn2 = pSrcB; + } + else + { + /* Initialization of inputA pointer */ + pIn1 = pSrcB; + + /* Initialization of inputB pointer */ + pIn2 = pSrcA; + + /* srcBLen is always considered as shorter or equal to srcALen */ + j = srcBLen; + srcBLen = srcALen; + srcALen = j; + } + + /* Conditions to check which loopCounter holds + * the first and last indices of the output samples to be calculated. */ + check = firstIndex + numPoints; + blockSize3 = ((int32_t)check > (int32_t)srcALen) ? (int32_t)check - (int32_t)srcALen : 0; + blockSize3 = ((int32_t)firstIndex > (int32_t)srcALen - 1) ? blockSize3 - (int32_t)firstIndex + (int32_t)srcALen : blockSize3; + blockSize1 = ((int32_t) srcBLen - 1) - (int32_t) firstIndex; + blockSize1 = (blockSize1 > 0) ? ((check > (srcBLen - 1U)) ? blockSize1 : + (int32_t) numPoints) : 0; + blockSize2 = ((int32_t) check - blockSize3) - + (blockSize1 + (int32_t) firstIndex); + blockSize2 = (blockSize2 > 0) ? blockSize2 : 0; + + /* conv(x,y) at n = x[n] * y[0] + x[n-1] * y[1] + x[n-2] * y[2] + ...+ x[n-N+1] * y[N -1] */ + /* The function is internally + * divided into three stages according to the number of multiplications that has to be + * taken place between inputA samples and inputB samples. In the first stage of the + * algorithm, the multiplications increase by one for every iteration. + * In the second stage of the algorithm, srcBLen number of multiplications are done. + * In the third stage of the algorithm, the multiplications decrease by one + * for every iteration. */ + + /* Set the output pointer to point to the firstIndex + * of the output sample to be calculated. */ + pOut = pDst + firstIndex; + + /* -------------------------- + * Initializations of stage1 + * -------------------------*/ + + /* sum = x[0] * y[0] + * sum = x[0] * y[1] + x[1] * y[0] + * .... + * sum = x[0] * y[srcBlen - 1] + x[1] * y[srcBlen - 2] +...+ x[srcBLen - 1] * y[0] + */ + + /* In this stage the MAC operations are increased by 1 for every iteration. + The count variable holds the number of MAC operations performed. + Since the partial convolution starts from firstIndex + Number of Macs to be performed is firstIndex + 1 */ + count = 1U + firstIndex; + + /* Working pointer of inputA */ + px = pIn1; + + /* Working pointer of inputB */ + pSrc2 = pIn2 + firstIndex; + py = pSrc2; + + /* ------------------------ + * Stage1 process + * ----------------------*/ + + /* For loop unrolling by 4, this stage is divided into two. */ + /* First part of this stage computes the MAC operations less than 4 */ + /* Second part of this stage computes the MAC operations greater than or equal to 4 */ + + /* The first part of the stage starts here */ + while ((count < 4U) && (blockSize1 > 0)) + { + /* Accumulator is made zero for every iteration */ + sum = 0; + + /* Loop over number of MAC operations between + * inputA samples and inputB samples */ + k = count; + + while (k > 0U) + { + /* Perform the multiply-accumulates */ + sum += ((q31_t) * px++ * *py--); + + /* Decrement the loop counter */ + k--; + } + + /* Store the result in the accumulator in the destination buffer. */ + *pOut++ = (q15_t) (sum >> 15); + + /* Update the inputA and inputB pointers for next MAC calculation */ + py = ++pSrc2; + px = pIn1; + + /* Increment the MAC count */ + count++; + + /* Decrement the loop counter */ + blockSize1--; + } + + /* The second part of the stage starts here */ + /* The internal loop, over count, is unrolled by 4 */ + /* To, read the last two inputB samples using SIMD: + * y[srcBLen] and y[srcBLen-1] coefficients, py is decremented by 1 */ + py = py - 1; + + while (blockSize1 > 0) + { + /* Accumulator is made zero for every iteration */ + sum = 0; + + /* Apply loop unrolling and compute 4 MACs simultaneously. */ + k = count >> 2U; + + /* First part of the processing with loop unrolling. Compute 4 MACs at a time. + ** a second loop below computes MACs for the remaining 1 to 3 samples. */ + py++; + + while (k > 0U) + { + /* Perform the multiply-accumulates */ + sum += ((q31_t) * px++ * *py--); + sum += ((q31_t) * px++ * *py--); + sum += ((q31_t) * px++ * *py--); + sum += ((q31_t) * px++ * *py--); + + /* Decrement the loop counter */ + k--; + } + + /* If the count is not a multiple of 4, compute any remaining MACs here. + ** No loop unrolling is used. */ + k = count % 0x4U; + + while (k > 0U) + { + /* Perform the multiply-accumulates */ + sum += ((q31_t) * px++ * *py--); + + /* Decrement the loop counter */ + k--; + } + + /* Store the result in the accumulator in the destination buffer. */ + *pOut++ = (q15_t) (sum >> 15); + + /* Update the inputA and inputB pointers for next MAC calculation */ + py = ++pSrc2 - 1U; + px = pIn1; + + /* Increment the MAC count */ + count++; + + /* Decrement the loop counter */ + blockSize1--; + } + + /* -------------------------- + * Initializations of stage2 + * ------------------------*/ + + /* sum = x[0] * y[srcBLen-1] + x[1] * y[srcBLen-2] +...+ x[srcBLen-1] * y[0] + * sum = x[1] * y[srcBLen-1] + x[2] * y[srcBLen-2] +...+ x[srcBLen] * y[0] + * .... + * sum = x[srcALen-srcBLen-2] * y[srcBLen-1] + x[srcALen] * y[srcBLen-2] +...+ x[srcALen-1] * y[0] + */ + + /* Working pointer of inputA */ + if ((int32_t)firstIndex - (int32_t)srcBLen + 1 > 0) + { + px = pIn1 + firstIndex - srcBLen + 1; + } + else + { + px = pIn1; + } + + /* Working pointer of inputB */ + pSrc2 = pIn2 + (srcBLen - 1U); + py = pSrc2; + + /* count is the index by which the pointer pIn1 to be incremented */ + count = 0U; + + + /* -------------------- + * Stage2 process + * -------------------*/ + + /* Stage2 depends on srcBLen as in this stage srcBLen number of MACS are performed. + * So, to loop unroll over blockSize2, + * srcBLen should be greater than or equal to 4 */ + if (srcBLen >= 4U) + { + /* Loop unroll over blockSize2, by 4 */ + blkCnt = ((uint32_t) blockSize2 >> 2U); + + while (blkCnt > 0U) + { + py = py - 1U; + + /* Set all accumulators to zero */ + acc0 = 0; + acc1 = 0; + acc2 = 0; + acc3 = 0; + + /* read x[0], x[1] samples */ + a = *px++; + b = *px++; + +#ifndef ARM_MATH_BIG_ENDIAN + + x0 = __PKHBT(a, b, 16); + a = *px; + x1 = __PKHBT(b, a, 16); + +#else + + x0 = __PKHBT(b, a, 16); + a = *px; + x1 = __PKHBT(a, b, 16); + +#endif /* #ifndef ARM_MATH_BIG_ENDIAN */ + + /* Apply loop unrolling and compute 4 MACs simultaneously. */ + k = srcBLen >> 2U; + + /* First part of the processing with loop unrolling. Compute 4 MACs at a time. + ** a second loop below computes MACs for the remaining 1 to 3 samples. */ + do + { + /* Read the last two inputB samples using SIMD: + * y[srcBLen - 1] and y[srcBLen - 2] */ + a = *py; + b = *(py+1); + py -= 2; + +#ifndef ARM_MATH_BIG_ENDIAN + + c0 = __PKHBT(a, b, 16); + +#else + + c0 = __PKHBT(b, a, 16);; + +#endif /* #ifndef ARM_MATH_BIG_ENDIAN */ + + /* acc0 += x[0] * y[srcBLen - 1] + x[1] * y[srcBLen - 2] */ + acc0 = __SMLADX(x0, c0, acc0); + + /* acc1 += x[1] * y[srcBLen - 1] + x[2] * y[srcBLen - 2] */ + acc1 = __SMLADX(x1, c0, acc1); + + a = *px; + b = *(px + 1); + +#ifndef ARM_MATH_BIG_ENDIAN + + x2 = __PKHBT(a, b, 16); + a = *(px + 2); + x3 = __PKHBT(b, a, 16); + +#else + + x2 = __PKHBT(b, a, 16); + a = *(px + 2); + x3 = __PKHBT(a, b, 16); + +#endif /* #ifndef ARM_MATH_BIG_ENDIAN */ + + /* acc2 += x[2] * y[srcBLen - 1] + x[3] * y[srcBLen - 2] */ + acc2 = __SMLADX(x2, c0, acc2); + + /* acc3 += x[3] * y[srcBLen - 1] + x[4] * y[srcBLen - 2] */ + acc3 = __SMLADX(x3, c0, acc3); + + /* Read y[srcBLen - 3] and y[srcBLen - 4] */ + a = *py; + b = *(py+1); + py -= 2; + +#ifndef ARM_MATH_BIG_ENDIAN + + c0 = __PKHBT(a, b, 16); + +#else + + c0 = __PKHBT(b, a, 16);; + +#endif /* #ifndef ARM_MATH_BIG_ENDIAN */ + + /* acc0 += x[2] * y[srcBLen - 3] + x[3] * y[srcBLen - 4] */ + acc0 = __SMLADX(x2, c0, acc0); + + /* acc1 += x[3] * y[srcBLen - 3] + x[4] * y[srcBLen - 4] */ + acc1 = __SMLADX(x3, c0, acc1); + + /* Read x[4], x[5], x[6] */ + a = *(px + 2); + b = *(px + 3); + +#ifndef ARM_MATH_BIG_ENDIAN + + x0 = __PKHBT(a, b, 16); + a = *(px + 4); + x1 = __PKHBT(b, a, 16); + +#else + + x0 = __PKHBT(b, a, 16); + a = *(px + 4); + x1 = __PKHBT(a, b, 16); + +#endif /* #ifndef ARM_MATH_BIG_ENDIAN */ + + px += 4U; + + /* acc2 += x[4] * y[srcBLen - 3] + x[5] * y[srcBLen - 4] */ + acc2 = __SMLADX(x0, c0, acc2); + + /* acc3 += x[5] * y[srcBLen - 3] + x[6] * y[srcBLen - 4] */ + acc3 = __SMLADX(x1, c0, acc3); + + } while (--k); + + /* For the next MAC operations, SIMD is not used + * So, the 16 bit pointer if inputB, py is updated */ + + /* If the srcBLen is not a multiple of 4, compute any remaining MACs here. + ** No loop unrolling is used. */ + k = srcBLen % 0x4U; + + if (k == 1U) + { + /* Read y[srcBLen - 5] */ + c0 = *(py+1); + +#ifdef ARM_MATH_BIG_ENDIAN + + c0 = c0 << 16U; + +#else + + c0 = c0 & 0x0000FFFF; + +#endif /* #ifdef ARM_MATH_BIG_ENDIAN */ + + /* Read x[7] */ + a = *px; + b = *(px+1); + px++; + +#ifndef ARM_MATH_BIG_ENDIAN + + x3 = __PKHBT(a, b, 16); + +#else + + x3 = __PKHBT(b, a, 16);; + +#endif /* #ifndef ARM_MATH_BIG_ENDIAN */ + + + /* Perform the multiply-accumulates */ + acc0 = __SMLAD(x0, c0, acc0); + acc1 = __SMLAD(x1, c0, acc1); + acc2 = __SMLADX(x1, c0, acc2); + acc3 = __SMLADX(x3, c0, acc3); + } + + if (k == 2U) + { + /* Read y[srcBLen - 5], y[srcBLen - 6] */ + a = *py; + b = *(py+1); + +#ifndef ARM_MATH_BIG_ENDIAN + + c0 = __PKHBT(a, b, 16); + +#else + + c0 = __PKHBT(b, a, 16);; + +#endif /* #ifndef ARM_MATH_BIG_ENDIAN */ + + /* Read x[7], x[8], x[9] */ + a = *px; + b = *(px + 1); + +#ifndef ARM_MATH_BIG_ENDIAN + + x3 = __PKHBT(a, b, 16); + a = *(px + 2); + x2 = __PKHBT(b, a, 16); + +#else + + x3 = __PKHBT(b, a, 16); + a = *(px + 2); + x2 = __PKHBT(a, b, 16); + +#endif /* #ifndef ARM_MATH_BIG_ENDIAN */ + px += 2U; + + /* Perform the multiply-accumulates */ + acc0 = __SMLADX(x0, c0, acc0); + acc1 = __SMLADX(x1, c0, acc1); + acc2 = __SMLADX(x3, c0, acc2); + acc3 = __SMLADX(x2, c0, acc3); + } + + if (k == 3U) + { + /* Read y[srcBLen - 5], y[srcBLen - 6] */ + a = *py; + b = *(py+1); + +#ifndef ARM_MATH_BIG_ENDIAN + + c0 = __PKHBT(a, b, 16); + +#else + + c0 = __PKHBT(b, a, 16);; + +#endif /* #ifndef ARM_MATH_BIG_ENDIAN */ + + /* Read x[7], x[8], x[9] */ + a = *px; + b = *(px + 1); + +#ifndef ARM_MATH_BIG_ENDIAN + + x3 = __PKHBT(a, b, 16); + a = *(px + 2); + x2 = __PKHBT(b, a, 16); + +#else + + x3 = __PKHBT(b, a, 16); + a = *(px + 2); + x2 = __PKHBT(a, b, 16); + +#endif /* #ifndef ARM_MATH_BIG_ENDIAN */ + + /* Perform the multiply-accumulates */ + acc0 = __SMLADX(x0, c0, acc0); + acc1 = __SMLADX(x1, c0, acc1); + acc2 = __SMLADX(x3, c0, acc2); + acc3 = __SMLADX(x2, c0, acc3); + + /* Read y[srcBLen - 7] */ + c0 = *(py-1); +#ifdef ARM_MATH_BIG_ENDIAN + + c0 = c0 << 16U; +#else + + c0 = c0 & 0x0000FFFF; +#endif /* #ifdef ARM_MATH_BIG_ENDIAN */ + + /* Read x[10] */ + a = *(px+2); + b = *(px+3); + +#ifndef ARM_MATH_BIG_ENDIAN + + x3 = __PKHBT(a, b, 16); + +#else + + x3 = __PKHBT(b, a, 16);; + +#endif /* #ifndef ARM_MATH_BIG_ENDIAN */ + + px += 3U; + + /* Perform the multiply-accumulates */ + acc0 = __SMLADX(x1, c0, acc0); + acc1 = __SMLAD(x2, c0, acc1); + acc2 = __SMLADX(x2, c0, acc2); + acc3 = __SMLADX(x3, c0, acc3); + } + + /* Store the results in the accumulators in the destination buffer. */ + *pOut++ = (q15_t)(acc0 >> 15); + *pOut++ = (q15_t)(acc1 >> 15); + *pOut++ = (q15_t)(acc2 >> 15); + *pOut++ = (q15_t)(acc3 >> 15); + + /* Increment the pointer pIn1 index, count by 4 */ + count += 4U; + + /* Update the inputA and inputB pointers for next MAC calculation */ + px = pIn1 + count; + py = pSrc2; + + /* Decrement the loop counter */ + blkCnt--; + } + + /* If the blockSize2 is not a multiple of 4, compute any remaining output samples here. + ** No loop unrolling is used. */ + blkCnt = (uint32_t) blockSize2 % 0x4U; + + while (blkCnt > 0U) + { + /* Accumulator is made zero for every iteration */ + sum = 0; + + /* Apply loop unrolling and compute 4 MACs simultaneously. */ + k = srcBLen >> 2U; + + /* First part of the processing with loop unrolling. Compute 4 MACs at a time. + ** a second loop below computes MACs for the remaining 1 to 3 samples. */ + while (k > 0U) + { + /* Perform the multiply-accumulates */ + sum += ((q31_t) * px++ * *py--); + sum += ((q31_t) * px++ * *py--); + sum += ((q31_t) * px++ * *py--); + sum += ((q31_t) * px++ * *py--); + + /* Decrement the loop counter */ + k--; + } + + /* If the srcBLen is not a multiple of 4, compute any remaining MACs here. + ** No loop unrolling is used. */ + k = srcBLen % 0x4U; + + while (k > 0U) + { + /* Perform the multiply-accumulates */ + sum += ((q31_t) * px++ * *py--); + + /* Decrement the loop counter */ + k--; + } + + /* Store the result in the accumulator in the destination buffer. */ + *pOut++ = (q15_t) (sum >> 15); + + /* Increment the pointer pIn1 index, count by 1 */ + count++; + + /* Update the inputA and inputB pointers for next MAC calculation */ + px = pIn1 + count; + py = pSrc2; + + /* Decrement the loop counter */ + blkCnt--; + } + } + else + { + /* If the srcBLen is not a multiple of 4, + * the blockSize2 loop cannot be unrolled by 4 */ + blkCnt = (uint32_t) blockSize2; + + while (blkCnt > 0U) + { + /* Accumulator is made zero for every iteration */ + sum = 0; + + /* srcBLen number of MACS should be performed */ + k = srcBLen; + + while (k > 0U) + { + /* Perform the multiply-accumulate */ + sum += ((q31_t) * px++ * *py--); + + /* Decrement the loop counter */ + k--; + } + + /* Store the result in the accumulator in the destination buffer. */ + *pOut++ = (q15_t) (sum >> 15); + + /* Increment the MAC count */ + count++; + + /* Update the inputA and inputB pointers for next MAC calculation */ + px = pIn1 + count; + py = pSrc2; + + /* Decrement the loop counter */ + blkCnt--; + } + } + + + /* -------------------------- + * Initializations of stage3 + * -------------------------*/ + + /* sum += x[srcALen-srcBLen+1] * y[srcBLen-1] + x[srcALen-srcBLen+2] * y[srcBLen-2] +...+ x[srcALen-1] * y[1] + * sum += x[srcALen-srcBLen+2] * y[srcBLen-1] + x[srcALen-srcBLen+3] * y[srcBLen-2] +...+ x[srcALen-1] * y[2] + * .... + * sum += x[srcALen-2] * y[srcBLen-1] + x[srcALen-1] * y[srcBLen-2] + * sum += x[srcALen-1] * y[srcBLen-1] + */ + + /* In this stage the MAC operations are decreased by 1 for every iteration. + The count variable holds the number of MAC operations performed */ + count = srcBLen - 1U; + + /* Working pointer of inputA */ + pSrc1 = (pIn1 + srcALen) - (srcBLen - 1U); + px = pSrc1; + + /* Working pointer of inputB */ + pSrc2 = pIn2 + (srcBLen - 1U); + pIn2 = pSrc2 - 1U; + py = pIn2; + + /* ------------------- + * Stage3 process + * ------------------*/ + + /* For loop unrolling by 4, this stage is divided into two. */ + /* First part of this stage computes the MAC operations greater than 4 */ + /* Second part of this stage computes the MAC operations less than or equal to 4 */ + + /* The first part of the stage starts here */ + j = count >> 2U; + + while ((j > 0U) && (blockSize3 > 0)) + { + /* Accumulator is made zero for every iteration */ + sum = 0; + + /* Apply loop unrolling and compute 4 MACs simultaneously. */ + k = count >> 2U; + + /* First part of the processing with loop unrolling. Compute 4 MACs at a time. + ** a second loop below computes MACs for the remaining 1 to 3 samples. */ + py++; + + while (k > 0U) + { + /* Perform the multiply-accumulates */ + sum += ((q31_t) * px++ * *py--); + sum += ((q31_t) * px++ * *py--); + sum += ((q31_t) * px++ * *py--); + sum += ((q31_t) * px++ * *py--); + /* Decrement the loop counter */ + k--; + } + + + /* If the count is not a multiple of 4, compute any remaining MACs here. + ** No loop unrolling is used. */ + k = count % 0x4U; + + while (k > 0U) + { + /* Perform the multiply-accumulates */ + sum += ((q31_t) * px++ * *py--); + + /* Decrement the loop counter */ + k--; + } + + /* Store the result in the accumulator in the destination buffer. */ + *pOut++ = (q15_t) (sum >> 15); + + /* Update the inputA and inputB pointers for next MAC calculation */ + px = ++pSrc1; + py = pIn2; + + /* Decrement the MAC count */ + count--; + + /* Decrement the loop counter */ + blockSize3--; + + j--; + } + + /* The second part of the stage starts here */ + /* SIMD is not used for the next MAC operations, + * so pointer py is updated to read only one sample at a time */ + py = py + 1U; + + while (blockSize3 > 0) + { + /* Accumulator is made zero for every iteration */ + sum = 0; + + /* Apply loop unrolling and compute 4 MACs simultaneously. */ + k = count; + + while (k > 0U) + { + /* Perform the multiply-accumulates */ + /* sum += x[srcALen-1] * y[srcBLen-1] */ + sum += ((q31_t) * px++ * *py--); + + /* Decrement the loop counter */ + k--; + } + + /* Store the result in the accumulator in the destination buffer. */ + *pOut++ = (q15_t) (sum >> 15); + + /* Update the inputA and inputB pointers for next MAC calculation */ + px = ++pSrc1; + py = pSrc2; + + /* Decrement the MAC count */ + count--; + + /* Decrement the loop counter */ + blockSize3--; + } + + /* set status as ARM_MATH_SUCCESS */ + status = ARM_MATH_SUCCESS; + } + + /* Return to application */ + return (status); + +#endif /* #ifndef UNALIGNED_SUPPORT_DISABLE */ +} + +/** + * @} end of PartialConv group + */ diff --git a/fw/hid-dials/Drivers/CMSIS/DSP/Source/FilteringFunctions/arm_conv_partial_fast_q31.c b/fw/hid-dials/Drivers/CMSIS/DSP/Source/FilteringFunctions/arm_conv_partial_fast_q31.c new file mode 100644 index 0000000..e845947 --- /dev/null +++ b/fw/hid-dials/Drivers/CMSIS/DSP/Source/FilteringFunctions/arm_conv_partial_fast_q31.c @@ -0,0 +1,620 @@ +/* ---------------------------------------------------------------------- + * Project: CMSIS DSP Library + * Title: arm_conv_partial_fast_q31.c + * Description: Fast Q31 Partial convolution + * + * $Date: 27. January 2017 + * $Revision: V.1.5.1 + * + * Target Processor: Cortex-M cores + * -------------------------------------------------------------------- */ +/* + * Copyright (C) 2010-2017 ARM Limited or its affiliates. All rights reserved. + * + * SPDX-License-Identifier: Apache-2.0 + * + * Licensed under the Apache License, Version 2.0 (the License); you may + * not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an AS IS BASIS, WITHOUT + * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ + +#include "arm_math.h" + +/** + * @ingroup groupFilters + */ + +/** + * @addtogroup PartialConv + * @{ + */ + +/** + * @brief Partial convolution of Q31 sequences (fast version) for Cortex-M3 and Cortex-M4. + * @param[in] *pSrcA points to the first input sequence. + * @param[in] srcALen length of the first input sequence. + * @param[in] *pSrcB points to the second input sequence. + * @param[in] srcBLen length of the second input sequence. + * @param[out] *pDst points to the location where the output result is written. + * @param[in] firstIndex is the first output sample to start with. + * @param[in] numPoints is the number of output points to be computed. + * @return Returns either ARM_MATH_SUCCESS if the function completed correctly or ARM_MATH_ARGUMENT_ERROR if the requested subset is not in the range [0 srcALen+srcBLen-2]. + * + * \par + * See arm_conv_partial_q31() for a slower implementation of this function which uses a 64-bit accumulator to provide higher precision. + */ + +arm_status arm_conv_partial_fast_q31( + q31_t * pSrcA, + uint32_t srcALen, + q31_t * pSrcB, + uint32_t srcBLen, + q31_t * pDst, + uint32_t firstIndex, + uint32_t numPoints) +{ + q31_t *pIn1; /* inputA pointer */ + q31_t *pIn2; /* inputB pointer */ + q31_t *pOut = pDst; /* output pointer */ + q31_t *px; /* Intermediate inputA pointer */ + q31_t *py; /* Intermediate inputB pointer */ + q31_t *pSrc1, *pSrc2; /* Intermediate pointers */ + q31_t sum, acc0, acc1, acc2, acc3; /* Accumulators */ + q31_t x0, x1, x2, x3, c0; + uint32_t j, k, count, check, blkCnt; + int32_t blockSize1, blockSize2, blockSize3; /* loop counters */ + arm_status status; /* status of Partial convolution */ + + + /* Check for range of output samples to be calculated */ + if ((firstIndex + numPoints) > ((srcALen + (srcBLen - 1U)))) + { + /* Set status as ARM_MATH_ARGUMENT_ERROR */ + status = ARM_MATH_ARGUMENT_ERROR; + } + else + { + + /* The algorithm implementation is based on the lengths of the inputs. */ + /* srcB is always made to slide across srcA. */ + /* So srcBLen is always considered as shorter or equal to srcALen */ + if (srcALen >= srcBLen) + { + /* Initialization of inputA pointer */ + pIn1 = pSrcA; + + /* Initialization of inputB pointer */ + pIn2 = pSrcB; + } + else + { + /* Initialization of inputA pointer */ + pIn1 = pSrcB; + + /* Initialization of inputB pointer */ + pIn2 = pSrcA; + + /* srcBLen is always considered as shorter or equal to srcALen */ + j = srcBLen; + srcBLen = srcALen; + srcALen = j; + } + + /* Conditions to check which loopCounter holds + * the first and last indices of the output samples to be calculated. */ + check = firstIndex + numPoints; + blockSize3 = ((int32_t)check > (int32_t)srcALen) ? (int32_t)check - (int32_t)srcALen : 0; + blockSize3 = ((int32_t)firstIndex > (int32_t)srcALen - 1) ? blockSize3 - (int32_t)firstIndex + (int32_t)srcALen : blockSize3; + blockSize1 = (((int32_t) srcBLen - 1) - (int32_t) firstIndex); + blockSize1 = (blockSize1 > 0) ? ((check > (srcBLen - 1U)) ? blockSize1 : + (int32_t) numPoints) : 0; + blockSize2 = (int32_t) check - ((blockSize3 + blockSize1) + + (int32_t) firstIndex); + blockSize2 = (blockSize2 > 0) ? blockSize2 : 0; + + /* conv(x,y) at n = x[n] * y[0] + x[n-1] * y[1] + x[n-2] * y[2] + ...+ x[n-N+1] * y[N -1] */ + /* The function is internally + * divided into three stages according to the number of multiplications that has to be + * taken place between inputA samples and inputB samples. In the first stage of the + * algorithm, the multiplications increase by one for every iteration. + * In the second stage of the algorithm, srcBLen number of multiplications are done. + * In the third stage of the algorithm, the multiplications decrease by one + * for every iteration. */ + + /* Set the output pointer to point to the firstIndex + * of the output sample to be calculated. */ + pOut = pDst + firstIndex; + + /* -------------------------- + * Initializations of stage1 + * -------------------------*/ + + /* sum = x[0] * y[0] + * sum = x[0] * y[1] + x[1] * y[0] + * .... + * sum = x[0] * y[srcBlen - 1] + x[1] * y[srcBlen - 2] +...+ x[srcBLen - 1] * y[0] + */ + + /* In this stage the MAC operations are increased by 1 for every iteration. + The count variable holds the number of MAC operations performed. + Since the partial convolution starts from firstIndex + Number of Macs to be performed is firstIndex + 1 */ + count = 1U + firstIndex; + + /* Working pointer of inputA */ + px = pIn1; + + /* Working pointer of inputB */ + pSrc2 = pIn2 + firstIndex; + py = pSrc2; + + /* ------------------------ + * Stage1 process + * ----------------------*/ + + /* The first loop starts here */ + while (blockSize1 > 0) + { + /* Accumulator is made zero for every iteration */ + sum = 0; + + /* Apply loop unrolling and compute 4 MACs simultaneously. */ + k = count >> 2U; + + /* First part of the processing with loop unrolling. Compute 4 MACs at a time. + ** a second loop below computes MACs for the remaining 1 to 3 samples. */ + while (k > 0U) + { + /* x[0] * y[srcBLen - 1] */ + sum = (q31_t) ((((q63_t) sum << 32) + + ((q63_t) * px++ * (*py--))) >> 32); + + /* x[1] * y[srcBLen - 2] */ + sum = (q31_t) ((((q63_t) sum << 32) + + ((q63_t) * px++ * (*py--))) >> 32); + + /* x[2] * y[srcBLen - 3] */ + sum = (q31_t) ((((q63_t) sum << 32) + + ((q63_t) * px++ * (*py--))) >> 32); + + /* x[3] * y[srcBLen - 4] */ + sum = (q31_t) ((((q63_t) sum << 32) + + ((q63_t) * px++ * (*py--))) >> 32); + + /* Decrement the loop counter */ + k--; + } + + /* If the count is not a multiple of 4, compute any remaining MACs here. + ** No loop unrolling is used. */ + k = count % 0x4U; + + while (k > 0U) + { + /* Perform the multiply-accumulates */ + sum = (q31_t) ((((q63_t) sum << 32) + + ((q63_t) * px++ * (*py--))) >> 32); + + /* Decrement the loop counter */ + k--; + } + + /* Store the result in the accumulator in the destination buffer. */ + *pOut++ = sum << 1; + + /* Update the inputA and inputB pointers for next MAC calculation */ + py = ++pSrc2; + px = pIn1; + + /* Increment the MAC count */ + count++; + + /* Decrement the loop counter */ + blockSize1--; + } + + /* -------------------------- + * Initializations of stage2 + * ------------------------*/ + + /* sum = x[0] * y[srcBLen-1] + x[1] * y[srcBLen-2] +...+ x[srcBLen-1] * y[0] + * sum = x[1] * y[srcBLen-1] + x[2] * y[srcBLen-2] +...+ x[srcBLen] * y[0] + * .... + * sum = x[srcALen-srcBLen-2] * y[srcBLen-1] + x[srcALen] * y[srcBLen-2] +...+ x[srcALen-1] * y[0] + */ + + /* Working pointer of inputA */ + if ((int32_t)firstIndex - (int32_t)srcBLen + 1 > 0) + { + px = pIn1 + firstIndex - srcBLen + 1; + } + else + { + px = pIn1; + } + + /* Working pointer of inputB */ + pSrc2 = pIn2 + (srcBLen - 1U); + py = pSrc2; + + /* count is index by which the pointer pIn1 to be incremented */ + count = 0U; + + /* ------------------- + * Stage2 process + * ------------------*/ + + /* Stage2 depends on srcBLen as in this stage srcBLen number of MACS are performed. + * So, to loop unroll over blockSize2, + * srcBLen should be greater than or equal to 4 */ + if (srcBLen >= 4U) + { + /* Loop unroll over blockSize2 */ + blkCnt = ((uint32_t) blockSize2 >> 2U); + + while (blkCnt > 0U) + { + /* Set all accumulators to zero */ + acc0 = 0; + acc1 = 0; + acc2 = 0; + acc3 = 0; + + /* read x[0], x[1], x[2] samples */ + x0 = *(px++); + x1 = *(px++); + x2 = *(px++); + + /* Apply loop unrolling and compute 4 MACs simultaneously. */ + k = srcBLen >> 2U; + + /* First part of the processing with loop unrolling. Compute 4 MACs at a time. + ** a second loop below computes MACs for the remaining 1 to 3 samples. */ + do + { + /* Read y[srcBLen - 1] sample */ + c0 = *(py--); + + /* Read x[3] sample */ + x3 = *(px++); + + /* Perform the multiply-accumulate */ + /* acc0 += x[0] * y[srcBLen - 1] */ + acc0 = (q31_t) ((((q63_t) acc0 << 32) + ((q63_t) x0 * c0)) >> 32); + + /* acc1 += x[1] * y[srcBLen - 1] */ + acc1 = (q31_t) ((((q63_t) acc1 << 32) + ((q63_t) x1 * c0)) >> 32); + + /* acc2 += x[2] * y[srcBLen - 1] */ + acc2 = (q31_t) ((((q63_t) acc2 << 32) + ((q63_t) x2 * c0)) >> 32); + + /* acc3 += x[3] * y[srcBLen - 1] */ + acc3 = (q31_t) ((((q63_t) acc3 << 32) + ((q63_t) x3 * c0)) >> 32); + + /* Read y[srcBLen - 2] sample */ + c0 = *(py--); + + /* Read x[4] sample */ + x0 = *(px++); + + /* Perform the multiply-accumulate */ + /* acc0 += x[1] * y[srcBLen - 2] */ + acc0 = (q31_t) ((((q63_t) acc0 << 32) + ((q63_t) x1 * c0)) >> 32); + /* acc1 += x[2] * y[srcBLen - 2] */ + acc1 = (q31_t) ((((q63_t) acc1 << 32) + ((q63_t) x2 * c0)) >> 32); + /* acc2 += x[3] * y[srcBLen - 2] */ + acc2 = (q31_t) ((((q63_t) acc2 << 32) + ((q63_t) x3 * c0)) >> 32); + /* acc3 += x[4] * y[srcBLen - 2] */ + acc3 = (q31_t) ((((q63_t) acc3 << 32) + ((q63_t) x0 * c0)) >> 32); + + /* Read y[srcBLen - 3] sample */ + c0 = *(py--); + + /* Read x[5] sample */ + x1 = *(px++); + + /* Perform the multiply-accumulates */ + /* acc0 += x[2] * y[srcBLen - 3] */ + acc0 = (q31_t) ((((q63_t) acc0 << 32) + ((q63_t) x2 * c0)) >> 32); + /* acc1 += x[3] * y[srcBLen - 2] */ + acc1 = (q31_t) ((((q63_t) acc1 << 32) + ((q63_t) x3 * c0)) >> 32); + /* acc2 += x[4] * y[srcBLen - 2] */ + acc2 = (q31_t) ((((q63_t) acc2 << 32) + ((q63_t) x0 * c0)) >> 32); + /* acc3 += x[5] * y[srcBLen - 2] */ + acc3 = (q31_t) ((((q63_t) acc3 << 32) + ((q63_t) x1 * c0)) >> 32); + + /* Read y[srcBLen - 4] sample */ + c0 = *(py--); + + /* Read x[6] sample */ + x2 = *(px++); + + /* Perform the multiply-accumulates */ + /* acc0 += x[3] * y[srcBLen - 4] */ + acc0 = (q31_t) ((((q63_t) acc0 << 32) + ((q63_t) x3 * c0)) >> 32); + /* acc1 += x[4] * y[srcBLen - 4] */ + acc1 = (q31_t) ((((q63_t) acc1 << 32) + ((q63_t) x0 * c0)) >> 32); + /* acc2 += x[5] * y[srcBLen - 4] */ + acc2 = (q31_t) ((((q63_t) acc2 << 32) + ((q63_t) x1 * c0)) >> 32); + /* acc3 += x[6] * y[srcBLen - 4] */ + acc3 = (q31_t) ((((q63_t) acc3 << 32) + ((q63_t) x2 * c0)) >> 32); + + + } while (--k); + + /* If the srcBLen is not a multiple of 4, compute any remaining MACs here. + ** No loop unrolling is used. */ + k = srcBLen % 0x4U; + + while (k > 0U) + { + /* Read y[srcBLen - 5] sample */ + c0 = *(py--); + + /* Read x[7] sample */ + x3 = *(px++); + + /* Perform the multiply-accumulates */ + /* acc0 += x[4] * y[srcBLen - 5] */ + acc0 = (q31_t) ((((q63_t) acc0 << 32) + ((q63_t) x0 * c0)) >> 32); + /* acc1 += x[5] * y[srcBLen - 5] */ + acc1 = (q31_t) ((((q63_t) acc1 << 32) + ((q63_t) x1 * c0)) >> 32); + /* acc2 += x[6] * y[srcBLen - 5] */ + acc2 = (q31_t) ((((q63_t) acc2 << 32) + ((q63_t) x2 * c0)) >> 32); + /* acc3 += x[7] * y[srcBLen - 5] */ + acc3 = (q31_t) ((((q63_t) acc3 << 32) + ((q63_t) x3 * c0)) >> 32); + + /* Reuse the present samples for the next MAC */ + x0 = x1; + x1 = x2; + x2 = x3; + + /* Decrement the loop counter */ + k--; + } + + /* Store the result in the accumulator in the destination buffer. */ + *pOut++ = (q31_t) (acc0 << 1); + *pOut++ = (q31_t) (acc1 << 1); + *pOut++ = (q31_t) (acc2 << 1); + *pOut++ = (q31_t) (acc3 << 1); + + /* Increment the pointer pIn1 index, count by 4 */ + count += 4U; + + /* Update the inputA and inputB pointers for next MAC calculation */ + if ((int32_t)firstIndex - (int32_t)srcBLen + 1 > 0) + { + px = pIn1 + firstIndex - srcBLen + 1 + count; + } + else + { + px = pIn1 + count; + } + py = pSrc2; + + /* Decrement the loop counter */ + blkCnt--; + } + + /* If the blockSize2 is not a multiple of 4, compute any remaining output samples here. + ** No loop unrolling is used. */ + blkCnt = (uint32_t) blockSize2 % 0x4U; + + while (blkCnt > 0U) + { + /* Accumulator is made zero for every iteration */ + sum = 0; + + /* Apply loop unrolling and compute 4 MACs simultaneously. */ + k = srcBLen >> 2U; + + /* First part of the processing with loop unrolling. Compute 4 MACs at a time. + ** a second loop below computes MACs for the remaining 1 to 3 samples. */ + while (k > 0U) + { + /* Perform the multiply-accumulates */ + sum = (q31_t) ((((q63_t) sum << 32) + + ((q63_t) * px++ * (*py--))) >> 32); + sum = (q31_t) ((((q63_t) sum << 32) + + ((q63_t) * px++ * (*py--))) >> 32); + sum = (q31_t) ((((q63_t) sum << 32) + + ((q63_t) * px++ * (*py--))) >> 32); + sum = (q31_t) ((((q63_t) sum << 32) + + ((q63_t) * px++ * (*py--))) >> 32); + + /* Decrement the loop counter */ + k--; + } + + /* If the srcBLen is not a multiple of 4, compute any remaining MACs here. + ** No loop unrolling is used. */ + k = srcBLen % 0x4U; + + while (k > 0U) + { + /* Perform the multiply-accumulate */ + sum = (q31_t) ((((q63_t) sum << 32) + + ((q63_t) * px++ * (*py--))) >> 32); + + /* Decrement the loop counter */ + k--; + } + + /* Store the result in the accumulator in the destination buffer. */ + *pOut++ = sum << 1; + + /* Increment the MAC count */ + count++; + + /* Update the inputA and inputB pointers for next MAC calculation */ + if ((int32_t)firstIndex - (int32_t)srcBLen + 1 > 0) + { + px = pIn1 + firstIndex - srcBLen + 1 + count; + } + else + { + px = pIn1 + count; + } + py = pSrc2; + + /* Decrement the loop counter */ + blkCnt--; + } + } + else + { + /* If the srcBLen is not a multiple of 4, + * the blockSize2 loop cannot be unrolled by 4 */ + blkCnt = (uint32_t) blockSize2; + + while (blkCnt > 0U) + { + /* Accumulator is made zero for every iteration */ + sum = 0; + + /* srcBLen number of MACS should be performed */ + k = srcBLen; + + while (k > 0U) + { + /* Perform the multiply-accumulate */ + sum = (q31_t) ((((q63_t) sum << 32) + + ((q63_t) * px++ * (*py--))) >> 32); + + /* Decrement the loop counter */ + k--; + } + + /* Store the result in the accumulator in the destination buffer. */ + *pOut++ = sum << 1; + + /* Increment the MAC count */ + count++; + + /* Update the inputA and inputB pointers for next MAC calculation */ + if ((int32_t)firstIndex - (int32_t)srcBLen + 1 > 0) + { + px = pIn1 + firstIndex - srcBLen + 1 + count; + } + else + { + px = pIn1 + count; + } + py = pSrc2; + + /* Decrement the loop counter */ + blkCnt--; + } + } + + + /* -------------------------- + * Initializations of stage3 + * -------------------------*/ + + /* sum += x[srcALen-srcBLen+1] * y[srcBLen-1] + x[srcALen-srcBLen+2] * y[srcBLen-2] +...+ x[srcALen-1] * y[1] + * sum += x[srcALen-srcBLen+2] * y[srcBLen-1] + x[srcALen-srcBLen+3] * y[srcBLen-2] +...+ x[srcALen-1] * y[2] + * .... + * sum += x[srcALen-2] * y[srcBLen-1] + x[srcALen-1] * y[srcBLen-2] + * sum += x[srcALen-1] * y[srcBLen-1] + */ + + /* In this stage the MAC operations are decreased by 1 for every iteration. + The count variable holds the number of MAC operations performed */ + count = srcBLen - 1U; + + /* Working pointer of inputA */ + pSrc1 = (pIn1 + srcALen) - (srcBLen - 1U); + px = pSrc1; + + /* Working pointer of inputB */ + pSrc2 = pIn2 + (srcBLen - 1U); + py = pSrc2; + + /* ------------------- + * Stage3 process + * ------------------*/ + + while (blockSize3 > 0) + { + /* Accumulator is made zero for every iteration */ + sum = 0; + + /* Apply loop unrolling and compute 4 MACs simultaneously. */ + k = count >> 2U; + + /* First part of the processing with loop unrolling. Compute 4 MACs at a time. + ** a second loop below computes MACs for the remaining 1 to 3 samples. */ + while (k > 0U) + { + /* sum += x[srcALen - srcBLen + 1] * y[srcBLen - 1] */ + sum = (q31_t) ((((q63_t) sum << 32) + + ((q63_t) * px++ * (*py--))) >> 32); + + /* sum += x[srcALen - srcBLen + 2] * y[srcBLen - 2] */ + sum = (q31_t) ((((q63_t) sum << 32) + + ((q63_t) * px++ * (*py--))) >> 32); + + /* sum += x[srcALen - srcBLen + 3] * y[srcBLen - 3] */ + sum = (q31_t) ((((q63_t) sum << 32) + + ((q63_t) * px++ * (*py--))) >> 32); + + /* sum += x[srcALen - srcBLen + 4] * y[srcBLen - 4] */ + sum = (q31_t) ((((q63_t) sum << 32) + + ((q63_t) * px++ * (*py--))) >> 32); + + /* Decrement the loop counter */ + k--; + } + + /* If the count is not a multiple of 4, compute any remaining MACs here. + ** No loop unrolling is used. */ + k = count % 0x4U; + + while (k > 0U) + { + /* Perform the multiply-accumulates */ + /* sum += x[srcALen-1] * y[srcBLen-1] */ + sum = (q31_t) ((((q63_t) sum << 32) + + ((q63_t) * px++ * (*py--))) >> 32); + + /* Decrement the loop counter */ + k--; + } + + /* Store the result in the accumulator in the destination buffer. */ + *pOut++ = sum << 1; + + /* Update the inputA and inputB pointers for next MAC calculation */ + px = ++pSrc1; + py = pSrc2; + + /* Decrement the MAC count */ + count--; + + /* Decrement the loop counter */ + blockSize3--; + + } + + /* set status as ARM_MATH_SUCCESS */ + status = ARM_MATH_SUCCESS; + } + + /* Return to application */ + return (status); + +} + +/** + * @} end of PartialConv group + */ diff --git a/fw/hid-dials/Drivers/CMSIS/DSP/Source/FilteringFunctions/arm_conv_partial_opt_q15.c b/fw/hid-dials/Drivers/CMSIS/DSP/Source/FilteringFunctions/arm_conv_partial_opt_q15.c new file mode 100644 index 0000000..78dd548 --- /dev/null +++ b/fw/hid-dials/Drivers/CMSIS/DSP/Source/FilteringFunctions/arm_conv_partial_opt_q15.c @@ -0,0 +1,753 @@ +/* ---------------------------------------------------------------------- + * Project: CMSIS DSP Library + * Title: arm_conv_partial_opt_q15.c + * Description: Partial convolution of Q15 sequences + * + * $Date: 27. January 2017 + * $Revision: V.1.5.1 + * + * Target Processor: Cortex-M cores + * -------------------------------------------------------------------- */ +/* + * Copyright (C) 2010-2017 ARM Limited or its affiliates. All rights reserved. + * + * SPDX-License-Identifier: Apache-2.0 + * + * Licensed under the Apache License, Version 2.0 (the License); you may + * not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an AS IS BASIS, WITHOUT + * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ + +#include "arm_math.h" + +/** + * @ingroup groupFilters + */ + +/** + * @addtogroup PartialConv + * @{ + */ + +/** + * @brief Partial convolution of Q15 sequences. + * @param[in] *pSrcA points to the first input sequence. + * @param[in] srcALen length of the first input sequence. + * @param[in] *pSrcB points to the second input sequence. + * @param[in] srcBLen length of the second input sequence. + * @param[out] *pDst points to the location where the output result is written. + * @param[in] firstIndex is the first output sample to start with. + * @param[in] numPoints is the number of output points to be computed. + * @param[in] *pScratch1 points to scratch buffer of size max(srcALen, srcBLen) + 2*min(srcALen, srcBLen) - 2. + * @param[in] *pScratch2 points to scratch buffer of size min(srcALen, srcBLen). + * @return Returns either ARM_MATH_SUCCESS if the function completed correctly or ARM_MATH_ARGUMENT_ERROR if the requested subset is not in the range [0 srcALen+srcBLen-2]. + * + * \par Restrictions + * If the silicon does not support unaligned memory access enable the macro UNALIGNED_SUPPORT_DISABLE + * In this case input, output, state buffers should be aligned by 32-bit + * + * Refer to arm_conv_partial_fast_q15() for a faster but less precise version of this function for Cortex-M3 and Cortex-M4. + * + * + */ + +#ifndef UNALIGNED_SUPPORT_DISABLE + +arm_status arm_conv_partial_opt_q15( + q15_t * pSrcA, + uint32_t srcALen, + q15_t * pSrcB, + uint32_t srcBLen, + q15_t * pDst, + uint32_t firstIndex, + uint32_t numPoints, + q15_t * pScratch1, + q15_t * pScratch2) +{ + + q15_t *pOut = pDst; /* output pointer */ + q15_t *pScr1 = pScratch1; /* Temporary pointer for scratch1 */ + q15_t *pScr2 = pScratch2; /* Temporary pointer for scratch1 */ + q63_t acc0, acc1, acc2, acc3; /* Accumulator */ + q31_t x1, x2, x3; /* Temporary variables to hold state and coefficient values */ + q31_t y1, y2; /* State variables */ + q15_t *pIn1; /* inputA pointer */ + q15_t *pIn2; /* inputB pointer */ + q15_t *px; /* Intermediate inputA pointer */ + q15_t *py; /* Intermediate inputB pointer */ + uint32_t j, k, blkCnt; /* loop counter */ + arm_status status; /* Status variable */ + uint32_t tapCnt; /* loop count */ + + /* Check for range of output samples to be calculated */ + if ((firstIndex + numPoints) > ((srcALen + (srcBLen - 1U)))) + { + /* Set status as ARM_MATH_ARGUMENT_ERROR */ + status = ARM_MATH_ARGUMENT_ERROR; + } + else + { + + /* The algorithm implementation is based on the lengths of the inputs. */ + /* srcB is always made to slide across srcA. */ + /* So srcBLen is always considered as shorter or equal to srcALen */ + if (srcALen >= srcBLen) + { + /* Initialization of inputA pointer */ + pIn1 = pSrcA; + + /* Initialization of inputB pointer */ + pIn2 = pSrcB; + } + else + { + /* Initialization of inputA pointer */ + pIn1 = pSrcB; + + /* Initialization of inputB pointer */ + pIn2 = pSrcA; + + /* srcBLen is always considered as shorter or equal to srcALen */ + j = srcBLen; + srcBLen = srcALen; + srcALen = j; + } + + /* Temporary pointer for scratch2 */ + py = pScratch2; + + /* pointer to take end of scratch2 buffer */ + pScr2 = pScratch2 + srcBLen - 1; + + /* points to smaller length sequence */ + px = pIn2; + + /* Apply loop unrolling and do 4 Copies simultaneously. */ + k = srcBLen >> 2U; + + /* First part of the processing with loop unrolling copies 4 data points at a time. + ** a second loop below copies for the remaining 1 to 3 samples. */ + while (k > 0U) + { + /* copy second buffer in reversal manner */ + *pScr2-- = *px++; + *pScr2-- = *px++; + *pScr2-- = *px++; + *pScr2-- = *px++; + + /* Decrement the loop counter */ + k--; + } + + /* If the count is not a multiple of 4, copy remaining samples here. + ** No loop unrolling is used. */ + k = srcBLen % 0x4U; + + while (k > 0U) + { + /* copy second buffer in reversal manner for remaining samples */ + *pScr2-- = *px++; + + /* Decrement the loop counter */ + k--; + } + + /* Initialze temporary scratch pointer */ + pScr1 = pScratch1; + + /* Fill (srcBLen - 1U) zeros in scratch buffer */ + arm_fill_q15(0, pScr1, (srcBLen - 1U)); + + /* Update temporary scratch pointer */ + pScr1 += (srcBLen - 1U); + + /* Copy bigger length sequence(srcALen) samples in scratch1 buffer */ + + /* Copy (srcALen) samples in scratch buffer */ + arm_copy_q15(pIn1, pScr1, srcALen); + + /* Update pointers */ + pScr1 += srcALen; + + /* Fill (srcBLen - 1U) zeros at end of scratch buffer */ + arm_fill_q15(0, pScr1, (srcBLen - 1U)); + + /* Update pointer */ + pScr1 += (srcBLen - 1U); + + /* Initialization of pIn2 pointer */ + pIn2 = py; + + pScratch1 += firstIndex; + + pOut = pDst + firstIndex; + + /* Actual convolution process starts here */ + blkCnt = (numPoints) >> 2; + + while (blkCnt > 0) + { + /* Initialze temporary scratch pointer as scratch1 */ + pScr1 = pScratch1; + + /* Clear Accumlators */ + acc0 = 0; + acc1 = 0; + acc2 = 0; + acc3 = 0; + + /* Read two samples from scratch1 buffer */ + x1 = *__SIMD32(pScr1)++; + + /* Read next two samples from scratch1 buffer */ + x2 = *__SIMD32(pScr1)++; + + tapCnt = (srcBLen) >> 2U; + + while (tapCnt > 0U) + { + + /* Read four samples from smaller buffer */ + y1 = _SIMD32_OFFSET(pIn2); + y2 = _SIMD32_OFFSET(pIn2 + 2U); + + /* multiply and accumlate */ + acc0 = __SMLALD(x1, y1, acc0); + acc2 = __SMLALD(x2, y1, acc2); + + /* pack input data */ +#ifndef ARM_MATH_BIG_ENDIAN + x3 = __PKHBT(x2, x1, 0); +#else + x3 = __PKHBT(x1, x2, 0); +#endif + + /* multiply and accumlate */ + acc1 = __SMLALDX(x3, y1, acc1); + + /* Read next two samples from scratch1 buffer */ + x1 = _SIMD32_OFFSET(pScr1); + + /* multiply and accumlate */ + acc0 = __SMLALD(x2, y2, acc0); + acc2 = __SMLALD(x1, y2, acc2); + + /* pack input data */ +#ifndef ARM_MATH_BIG_ENDIAN + x3 = __PKHBT(x1, x2, 0); +#else + x3 = __PKHBT(x2, x1, 0); +#endif + + acc3 = __SMLALDX(x3, y1, acc3); + acc1 = __SMLALDX(x3, y2, acc1); + + x2 = _SIMD32_OFFSET(pScr1 + 2U); + +#ifndef ARM_MATH_BIG_ENDIAN + x3 = __PKHBT(x2, x1, 0); +#else + x3 = __PKHBT(x1, x2, 0); +#endif + + acc3 = __SMLALDX(x3, y2, acc3); + + /* update scratch pointers */ + pIn2 += 4U; + pScr1 += 4U; + + + /* Decrement the loop counter */ + tapCnt--; + } + + /* Update scratch pointer for remaining samples of smaller length sequence */ + pScr1 -= 4U; + + /* apply same above for remaining samples of smaller length sequence */ + tapCnt = (srcBLen) & 3U; + + while (tapCnt > 0U) + { + /* accumlate the results */ + acc0 += (*pScr1++ * *pIn2); + acc1 += (*pScr1++ * *pIn2); + acc2 += (*pScr1++ * *pIn2); + acc3 += (*pScr1++ * *pIn2++); + + pScr1 -= 3U; + + /* Decrement the loop counter */ + tapCnt--; + } + + blkCnt--; + + + /* Store the results in the accumulators in the destination buffer. */ + +#ifndef ARM_MATH_BIG_ENDIAN + + *__SIMD32(pOut)++ = + __PKHBT(__SSAT((acc0 >> 15), 16), __SSAT((acc1 >> 15), 16), 16); + *__SIMD32(pOut)++ = + __PKHBT(__SSAT((acc2 >> 15), 16), __SSAT((acc3 >> 15), 16), 16); + +#else + + *__SIMD32(pOut)++ = + __PKHBT(__SSAT((acc1 >> 15), 16), __SSAT((acc0 >> 15), 16), 16); + *__SIMD32(pOut)++ = + __PKHBT(__SSAT((acc3 >> 15), 16), __SSAT((acc2 >> 15), 16), 16); + +#endif /* #ifndef ARM_MATH_BIG_ENDIAN */ + + /* Initialization of inputB pointer */ + pIn2 = py; + + pScratch1 += 4U; + + } + + + blkCnt = numPoints & 0x3; + + /* Calculate convolution for remaining samples of Bigger length sequence */ + while (blkCnt > 0) + { + /* Initialze temporary scratch pointer as scratch1 */ + pScr1 = pScratch1; + + /* Clear Accumlators */ + acc0 = 0; + + tapCnt = (srcBLen) >> 1U; + + while (tapCnt > 0U) + { + + /* Read next two samples from scratch1 buffer */ + x1 = *__SIMD32(pScr1)++; + + /* Read two samples from smaller buffer */ + y1 = *__SIMD32(pIn2)++; + + acc0 = __SMLALD(x1, y1, acc0); + + /* Decrement the loop counter */ + tapCnt--; + } + + tapCnt = (srcBLen) & 1U; + + /* apply same above for remaining samples of smaller length sequence */ + while (tapCnt > 0U) + { + + /* accumlate the results */ + acc0 += (*pScr1++ * *pIn2++); + + /* Decrement the loop counter */ + tapCnt--; + } + + blkCnt--; + + /* Store the result in the accumulator in the destination buffer. */ + *pOut++ = (q15_t) (__SSAT((acc0 >> 15), 16)); + + /* Initialization of inputB pointer */ + pIn2 = py; + + pScratch1 += 1U; + + } + + /* set status as ARM_MATH_SUCCESS */ + status = ARM_MATH_SUCCESS; + + } + + /* Return to application */ + return (status); +} + +#else + +arm_status arm_conv_partial_opt_q15( + q15_t * pSrcA, + uint32_t srcALen, + q15_t * pSrcB, + uint32_t srcBLen, + q15_t * pDst, + uint32_t firstIndex, + uint32_t numPoints, + q15_t * pScratch1, + q15_t * pScratch2) +{ + + q15_t *pOut = pDst; /* output pointer */ + q15_t *pScr1 = pScratch1; /* Temporary pointer for scratch1 */ + q15_t *pScr2 = pScratch2; /* Temporary pointer for scratch1 */ + q63_t acc0, acc1, acc2, acc3; /* Accumulator */ + q15_t *pIn1; /* inputA pointer */ + q15_t *pIn2; /* inputB pointer */ + q15_t *px; /* Intermediate inputA pointer */ + q15_t *py; /* Intermediate inputB pointer */ + uint32_t j, k, blkCnt; /* loop counter */ + arm_status status; /* Status variable */ + uint32_t tapCnt; /* loop count */ + q15_t x10, x11, x20, x21; /* Temporary variables to hold srcA buffer */ + q15_t y10, y11; /* Temporary variables to hold srcB buffer */ + + + /* Check for range of output samples to be calculated */ + if ((firstIndex + numPoints) > ((srcALen + (srcBLen - 1U)))) + { + /* Set status as ARM_MATH_ARGUMENT_ERROR */ + status = ARM_MATH_ARGUMENT_ERROR; + } + else + { + + /* The algorithm implementation is based on the lengths of the inputs. */ + /* srcB is always made to slide across srcA. */ + /* So srcBLen is always considered as shorter or equal to srcALen */ + if (srcALen >= srcBLen) + { + /* Initialization of inputA pointer */ + pIn1 = pSrcA; + + /* Initialization of inputB pointer */ + pIn2 = pSrcB; + } + else + { + /* Initialization of inputA pointer */ + pIn1 = pSrcB; + + /* Initialization of inputB pointer */ + pIn2 = pSrcA; + + /* srcBLen is always considered as shorter or equal to srcALen */ + j = srcBLen; + srcBLen = srcALen; + srcALen = j; + } + + /* Temporary pointer for scratch2 */ + py = pScratch2; + + /* pointer to take end of scratch2 buffer */ + pScr2 = pScratch2 + srcBLen - 1; + + /* points to smaller length sequence */ + px = pIn2; + + /* Apply loop unrolling and do 4 Copies simultaneously. */ + k = srcBLen >> 2U; + + /* First part of the processing with loop unrolling copies 4 data points at a time. + ** a second loop below copies for the remaining 1 to 3 samples. */ + while (k > 0U) + { + /* copy second buffer in reversal manner */ + *pScr2-- = *px++; + *pScr2-- = *px++; + *pScr2-- = *px++; + *pScr2-- = *px++; + + /* Decrement the loop counter */ + k--; + } + + /* If the count is not a multiple of 4, copy remaining samples here. + ** No loop unrolling is used. */ + k = srcBLen % 0x4U; + + while (k > 0U) + { + /* copy second buffer in reversal manner for remaining samples */ + *pScr2-- = *px++; + + /* Decrement the loop counter */ + k--; + } + + /* Initialze temporary scratch pointer */ + pScr1 = pScratch1; + + /* Fill (srcBLen - 1U) zeros in scratch buffer */ + arm_fill_q15(0, pScr1, (srcBLen - 1U)); + + /* Update temporary scratch pointer */ + pScr1 += (srcBLen - 1U); + + /* Copy bigger length sequence(srcALen) samples in scratch1 buffer */ + + + /* Apply loop unrolling and do 4 Copies simultaneously. */ + k = srcALen >> 2U; + + /* First part of the processing with loop unrolling copies 4 data points at a time. + ** a second loop below copies for the remaining 1 to 3 samples. */ + while (k > 0U) + { + /* copy second buffer in reversal manner */ + *pScr1++ = *pIn1++; + *pScr1++ = *pIn1++; + *pScr1++ = *pIn1++; + *pScr1++ = *pIn1++; + + /* Decrement the loop counter */ + k--; + } + + /* If the count is not a multiple of 4, copy remaining samples here. + ** No loop unrolling is used. */ + k = srcALen % 0x4U; + + while (k > 0U) + { + /* copy second buffer in reversal manner for remaining samples */ + *pScr1++ = *pIn1++; + + /* Decrement the loop counter */ + k--; + } + + + /* Apply loop unrolling and do 4 Copies simultaneously. */ + k = (srcBLen - 1U) >> 2U; + + /* First part of the processing with loop unrolling copies 4 data points at a time. + ** a second loop below copies for the remaining 1 to 3 samples. */ + while (k > 0U) + { + /* copy second buffer in reversal manner */ + *pScr1++ = 0; + *pScr1++ = 0; + *pScr1++ = 0; + *pScr1++ = 0; + + /* Decrement the loop counter */ + k--; + } + + /* If the count is not a multiple of 4, copy remaining samples here. + ** No loop unrolling is used. */ + k = (srcBLen - 1U) % 0x4U; + + while (k > 0U) + { + /* copy second buffer in reversal manner for remaining samples */ + *pScr1++ = 0; + + /* Decrement the loop counter */ + k--; + } + + + /* Initialization of pIn2 pointer */ + pIn2 = py; + + pScratch1 += firstIndex; + + pOut = pDst + firstIndex; + + /* Actual convolution process starts here */ + blkCnt = (numPoints) >> 2; + + while (blkCnt > 0) + { + /* Initialze temporary scratch pointer as scratch1 */ + pScr1 = pScratch1; + + /* Clear Accumlators */ + acc0 = 0; + acc1 = 0; + acc2 = 0; + acc3 = 0; + + /* Read two samples from scratch1 buffer */ + x10 = *pScr1++; + x11 = *pScr1++; + + /* Read next two samples from scratch1 buffer */ + x20 = *pScr1++; + x21 = *pScr1++; + + tapCnt = (srcBLen) >> 2U; + + while (tapCnt > 0U) + { + + /* Read two samples from smaller buffer */ + y10 = *pIn2; + y11 = *(pIn2 + 1U); + + /* multiply and accumlate */ + acc0 += (q63_t) x10 *y10; + acc0 += (q63_t) x11 *y11; + acc2 += (q63_t) x20 *y10; + acc2 += (q63_t) x21 *y11; + + /* multiply and accumlate */ + acc1 += (q63_t) x11 *y10; + acc1 += (q63_t) x20 *y11; + + /* Read next two samples from scratch1 buffer */ + x10 = *pScr1; + x11 = *(pScr1 + 1U); + + /* multiply and accumlate */ + acc3 += (q63_t) x21 *y10; + acc3 += (q63_t) x10 *y11; + + /* Read next two samples from scratch2 buffer */ + y10 = *(pIn2 + 2U); + y11 = *(pIn2 + 3U); + + /* multiply and accumlate */ + acc0 += (q63_t) x20 *y10; + acc0 += (q63_t) x21 *y11; + acc2 += (q63_t) x10 *y10; + acc2 += (q63_t) x11 *y11; + acc1 += (q63_t) x21 *y10; + acc1 += (q63_t) x10 *y11; + + /* Read next two samples from scratch1 buffer */ + x20 = *(pScr1 + 2); + x21 = *(pScr1 + 3); + + /* multiply and accumlate */ + acc3 += (q63_t) x11 *y10; + acc3 += (q63_t) x20 *y11; + + /* update scratch pointers */ + pIn2 += 4U; + pScr1 += 4U; + + /* Decrement the loop counter */ + tapCnt--; + } + + /* Update scratch pointer for remaining samples of smaller length sequence */ + pScr1 -= 4U; + + /* apply same above for remaining samples of smaller length sequence */ + tapCnt = (srcBLen) & 3U; + + while (tapCnt > 0U) + { + /* accumlate the results */ + acc0 += (*pScr1++ * *pIn2); + acc1 += (*pScr1++ * *pIn2); + acc2 += (*pScr1++ * *pIn2); + acc3 += (*pScr1++ * *pIn2++); + + pScr1 -= 3U; + + /* Decrement the loop counter */ + tapCnt--; + } + + blkCnt--; + + + /* Store the results in the accumulators in the destination buffer. */ + *pOut++ = __SSAT((acc0 >> 15), 16); + *pOut++ = __SSAT((acc1 >> 15), 16); + *pOut++ = __SSAT((acc2 >> 15), 16); + *pOut++ = __SSAT((acc3 >> 15), 16); + + + /* Initialization of inputB pointer */ + pIn2 = py; + + pScratch1 += 4U; + + } + + + blkCnt = numPoints & 0x3; + + /* Calculate convolution for remaining samples of Bigger length sequence */ + while (blkCnt > 0) + { + /* Initialze temporary scratch pointer as scratch1 */ + pScr1 = pScratch1; + + /* Clear Accumlators */ + acc0 = 0; + + tapCnt = (srcBLen) >> 1U; + + while (tapCnt > 0U) + { + + /* Read next two samples from scratch1 buffer */ + x10 = *pScr1++; + x11 = *pScr1++; + + /* Read two samples from smaller buffer */ + y10 = *pIn2++; + y11 = *pIn2++; + + /* multiply and accumlate */ + acc0 += (q63_t) x10 *y10; + acc0 += (q63_t) x11 *y11; + + /* Decrement the loop counter */ + tapCnt--; + } + + tapCnt = (srcBLen) & 1U; + + /* apply same above for remaining samples of smaller length sequence */ + while (tapCnt > 0U) + { + + /* accumlate the results */ + acc0 += (*pScr1++ * *pIn2++); + + /* Decrement the loop counter */ + tapCnt--; + } + + blkCnt--; + + /* Store the result in the accumulator in the destination buffer. */ + *pOut++ = (q15_t) (__SSAT((acc0 >> 15), 16)); + + + /* Initialization of inputB pointer */ + pIn2 = py; + + pScratch1 += 1U; + + } + + /* set status as ARM_MATH_SUCCESS */ + status = ARM_MATH_SUCCESS; + + } + + /* Return to application */ + return (status); +} + +#endif /* #ifndef UNALIGNED_SUPPORT_DISABLE */ + + +/** + * @} end of PartialConv group + */ diff --git a/fw/hid-dials/Drivers/CMSIS/DSP/Source/FilteringFunctions/arm_conv_partial_opt_q7.c b/fw/hid-dials/Drivers/CMSIS/DSP/Source/FilteringFunctions/arm_conv_partial_opt_q7.c new file mode 100644 index 0000000..351c290 --- /dev/null +++ b/fw/hid-dials/Drivers/CMSIS/DSP/Source/FilteringFunctions/arm_conv_partial_opt_q7.c @@ -0,0 +1,791 @@ +/* ---------------------------------------------------------------------- + * Project: CMSIS DSP Library + * Title: arm_conv_partial_opt_q7.c + * Description: Partial convolution of Q7 sequences + * + * $Date: 27. January 2017 + * $Revision: V.1.5.1 + * + * Target Processor: Cortex-M cores + * -------------------------------------------------------------------- */ +/* + * Copyright (C) 2010-2017 ARM Limited or its affiliates. All rights reserved. + * + * SPDX-License-Identifier: Apache-2.0 + * + * Licensed under the Apache License, Version 2.0 (the License); you may + * not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an AS IS BASIS, WITHOUT + * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ + +#include "arm_math.h" + +/** + * @ingroup groupFilters + */ + +/** + * @addtogroup PartialConv + * @{ + */ + +/** + * @brief Partial convolution of Q7 sequences. + * @param[in] *pSrcA points to the first input sequence. + * @param[in] srcALen length of the first input sequence. + * @param[in] *pSrcB points to the second input sequence. + * @param[in] srcBLen length of the second input sequence. + * @param[out] *pDst points to the location where the output result is written. + * @param[in] firstIndex is the first output sample to start with. + * @param[in] numPoints is the number of output points to be computed. + * @param[in] *pScratch1 points to scratch buffer(of type q15_t) of size max(srcALen, srcBLen) + 2*min(srcALen, srcBLen) - 2. + * @param[in] *pScratch2 points to scratch buffer (of type q15_t) of size min(srcALen, srcBLen). + * @return Returns either ARM_MATH_SUCCESS if the function completed correctly or ARM_MATH_ARGUMENT_ERROR if the requested subset is not in the range [0 srcALen+srcBLen-2]. + * + * \par Restrictions + * If the silicon does not support unaligned memory access enable the macro UNALIGNED_SUPPORT_DISABLE + * In this case input, output, scratch1 and scratch2 buffers should be aligned by 32-bit + * + * + * + */ + + +#ifndef UNALIGNED_SUPPORT_DISABLE + +arm_status arm_conv_partial_opt_q7( + q7_t * pSrcA, + uint32_t srcALen, + q7_t * pSrcB, + uint32_t srcBLen, + q7_t * pDst, + uint32_t firstIndex, + uint32_t numPoints, + q15_t * pScratch1, + q15_t * pScratch2) +{ + + q15_t *pScr2, *pScr1; /* Intermediate pointers for scratch pointers */ + q15_t x4; /* Temporary input variable */ + q7_t *pIn1, *pIn2; /* inputA and inputB pointer */ + uint32_t j, k, blkCnt, tapCnt; /* loop counter */ + q7_t *px; /* Temporary input1 pointer */ + q15_t *py; /* Temporary input2 pointer */ + q31_t acc0, acc1, acc2, acc3; /* Accumulator */ + q31_t x1, x2, x3, y1; /* Temporary input variables */ + arm_status status; + q7_t *pOut = pDst; /* output pointer */ + q7_t out0, out1, out2, out3; /* temporary variables */ + + /* Check for range of output samples to be calculated */ + if ((firstIndex + numPoints) > ((srcALen + (srcBLen - 1U)))) + { + /* Set status as ARM_MATH_ARGUMENT_ERROR */ + status = ARM_MATH_ARGUMENT_ERROR; + } + else + { + + /* The algorithm implementation is based on the lengths of the inputs. */ + /* srcB is always made to slide across srcA. */ + /* So srcBLen is always considered as shorter or equal to srcALen */ + if (srcALen >= srcBLen) + { + /* Initialization of inputA pointer */ + pIn1 = pSrcA; + + /* Initialization of inputB pointer */ + pIn2 = pSrcB; + } + else + { + /* Initialization of inputA pointer */ + pIn1 = pSrcB; + + /* Initialization of inputB pointer */ + pIn2 = pSrcA; + + /* srcBLen is always considered as shorter or equal to srcALen */ + j = srcBLen; + srcBLen = srcALen; + srcALen = j; + } + + /* pointer to take end of scratch2 buffer */ + pScr2 = pScratch2; + + /* points to smaller length sequence */ + px = pIn2 + srcBLen - 1; + + /* Apply loop unrolling and do 4 Copies simultaneously. */ + k = srcBLen >> 2U; + + /* First part of the processing with loop unrolling copies 4 data points at a time. + ** a second loop below copies for the remaining 1 to 3 samples. */ + while (k > 0U) + { + /* copy second buffer in reversal manner */ + x4 = (q15_t) * px--; + *pScr2++ = x4; + x4 = (q15_t) * px--; + *pScr2++ = x4; + x4 = (q15_t) * px--; + *pScr2++ = x4; + x4 = (q15_t) * px--; + *pScr2++ = x4; + + /* Decrement the loop counter */ + k--; + } + + /* If the count is not a multiple of 4, copy remaining samples here. + ** No loop unrolling is used. */ + k = srcBLen % 0x4U; + + while (k > 0U) + { + /* copy second buffer in reversal manner for remaining samples */ + x4 = (q15_t) * px--; + *pScr2++ = x4; + + /* Decrement the loop counter */ + k--; + } + + /* Initialze temporary scratch pointer */ + pScr1 = pScratch1; + + /* Fill (srcBLen - 1U) zeros in scratch buffer */ + arm_fill_q15(0, pScr1, (srcBLen - 1U)); + + /* Update temporary scratch pointer */ + pScr1 += (srcBLen - 1U); + + /* Copy (srcALen) samples in scratch buffer */ + /* Apply loop unrolling and do 4 Copies simultaneously. */ + k = srcALen >> 2U; + + /* First part of the processing with loop unrolling copies 4 data points at a time. + ** a second loop below copies for the remaining 1 to 3 samples. */ + while (k > 0U) + { + /* copy second buffer in reversal manner */ + x4 = (q15_t) * pIn1++; + *pScr1++ = x4; + x4 = (q15_t) * pIn1++; + *pScr1++ = x4; + x4 = (q15_t) * pIn1++; + *pScr1++ = x4; + x4 = (q15_t) * pIn1++; + *pScr1++ = x4; + + /* Decrement the loop counter */ + k--; + } + + /* If the count is not a multiple of 4, copy remaining samples here. + ** No loop unrolling is used. */ + k = srcALen % 0x4U; + + while (k > 0U) + { + /* copy second buffer in reversal manner for remaining samples */ + x4 = (q15_t) * pIn1++; + *pScr1++ = x4; + + /* Decrement the loop counter */ + k--; + } + + /* Fill (srcBLen - 1U) zeros at end of scratch buffer */ + arm_fill_q15(0, pScr1, (srcBLen - 1U)); + + /* Update pointer */ + pScr1 += (srcBLen - 1U); + + + /* Temporary pointer for scratch2 */ + py = pScratch2; + + /* Initialization of pIn2 pointer */ + pIn2 = (q7_t *) py; + + pScr2 = py; + + pOut = pDst + firstIndex; + + pScratch1 += firstIndex; + + /* Actual convolution process starts here */ + blkCnt = (numPoints) >> 2; + + + while (blkCnt > 0) + { + /* Initialze temporary scratch pointer as scratch1 */ + pScr1 = pScratch1; + + /* Clear Accumlators */ + acc0 = 0; + acc1 = 0; + acc2 = 0; + acc3 = 0; + + /* Read two samples from scratch1 buffer */ + x1 = *__SIMD32(pScr1)++; + + /* Read next two samples from scratch1 buffer */ + x2 = *__SIMD32(pScr1)++; + + tapCnt = (srcBLen) >> 2U; + + while (tapCnt > 0U) + { + + /* Read four samples from smaller buffer */ + y1 = _SIMD32_OFFSET(pScr2); + + /* multiply and accumlate */ + acc0 = __SMLAD(x1, y1, acc0); + acc2 = __SMLAD(x2, y1, acc2); + + /* pack input data */ +#ifndef ARM_MATH_BIG_ENDIAN + x3 = __PKHBT(x2, x1, 0); +#else + x3 = __PKHBT(x1, x2, 0); +#endif + + /* multiply and accumlate */ + acc1 = __SMLADX(x3, y1, acc1); + + /* Read next two samples from scratch1 buffer */ + x1 = *__SIMD32(pScr1)++; + + /* pack input data */ +#ifndef ARM_MATH_BIG_ENDIAN + x3 = __PKHBT(x1, x2, 0); +#else + x3 = __PKHBT(x2, x1, 0); +#endif + + acc3 = __SMLADX(x3, y1, acc3); + + /* Read four samples from smaller buffer */ + y1 = _SIMD32_OFFSET(pScr2 + 2U); + + acc0 = __SMLAD(x2, y1, acc0); + + acc2 = __SMLAD(x1, y1, acc2); + + acc1 = __SMLADX(x3, y1, acc1); + + x2 = *__SIMD32(pScr1)++; + +#ifndef ARM_MATH_BIG_ENDIAN + x3 = __PKHBT(x2, x1, 0); +#else + x3 = __PKHBT(x1, x2, 0); +#endif + + acc3 = __SMLADX(x3, y1, acc3); + + pScr2 += 4U; + + + /* Decrement the loop counter */ + tapCnt--; + } + + + + /* Update scratch pointer for remaining samples of smaller length sequence */ + pScr1 -= 4U; + + + /* apply same above for remaining samples of smaller length sequence */ + tapCnt = (srcBLen) & 3U; + + while (tapCnt > 0U) + { + + /* accumlate the results */ + acc0 += (*pScr1++ * *pScr2); + acc1 += (*pScr1++ * *pScr2); + acc2 += (*pScr1++ * *pScr2); + acc3 += (*pScr1++ * *pScr2++); + + pScr1 -= 3U; + + /* Decrement the loop counter */ + tapCnt--; + } + + blkCnt--; + + /* Store the result in the accumulator in the destination buffer. */ + out0 = (q7_t) (__SSAT(acc0 >> 7U, 8)); + out1 = (q7_t) (__SSAT(acc1 >> 7U, 8)); + out2 = (q7_t) (__SSAT(acc2 >> 7U, 8)); + out3 = (q7_t) (__SSAT(acc3 >> 7U, 8)); + + *__SIMD32(pOut)++ = __PACKq7(out0, out1, out2, out3); + + /* Initialization of inputB pointer */ + pScr2 = py; + + pScratch1 += 4U; + + } + + blkCnt = (numPoints) & 0x3; + + /* Calculate convolution for remaining samples of Bigger length sequence */ + while (blkCnt > 0) + { + /* Initialze temporary scratch pointer as scratch1 */ + pScr1 = pScratch1; + + /* Clear Accumlators */ + acc0 = 0; + + tapCnt = (srcBLen) >> 1U; + + while (tapCnt > 0U) + { + + /* Read next two samples from scratch1 buffer */ + x1 = *__SIMD32(pScr1)++; + + /* Read two samples from smaller buffer */ + y1 = *__SIMD32(pScr2)++; + + acc0 = __SMLAD(x1, y1, acc0); + + /* Decrement the loop counter */ + tapCnt--; + } + + tapCnt = (srcBLen) & 1U; + + /* apply same above for remaining samples of smaller length sequence */ + while (tapCnt > 0U) + { + + /* accumlate the results */ + acc0 += (*pScr1++ * *pScr2++); + + /* Decrement the loop counter */ + tapCnt--; + } + + blkCnt--; + + /* Store the result in the accumulator in the destination buffer. */ + *pOut++ = (q7_t) (__SSAT(acc0 >> 7U, 8)); + + /* Initialization of inputB pointer */ + pScr2 = py; + + pScratch1 += 1U; + + } + + /* set status as ARM_MATH_SUCCESS */ + status = ARM_MATH_SUCCESS; + + + } + + return (status); + +} + +#else + +arm_status arm_conv_partial_opt_q7( + q7_t * pSrcA, + uint32_t srcALen, + q7_t * pSrcB, + uint32_t srcBLen, + q7_t * pDst, + uint32_t firstIndex, + uint32_t numPoints, + q15_t * pScratch1, + q15_t * pScratch2) +{ + + q15_t *pScr2, *pScr1; /* Intermediate pointers for scratch pointers */ + q15_t x4; /* Temporary input variable */ + q7_t *pIn1, *pIn2; /* inputA and inputB pointer */ + uint32_t j, k, blkCnt, tapCnt; /* loop counter */ + q7_t *px; /* Temporary input1 pointer */ + q15_t *py; /* Temporary input2 pointer */ + q31_t acc0, acc1, acc2, acc3; /* Accumulator */ + arm_status status; + q7_t *pOut = pDst; /* output pointer */ + q15_t x10, x11, x20, x21; /* Temporary input variables */ + q15_t y10, y11; /* Temporary input variables */ + + /* Check for range of output samples to be calculated */ + if ((firstIndex + numPoints) > ((srcALen + (srcBLen - 1U)))) + { + /* Set status as ARM_MATH_ARGUMENT_ERROR */ + status = ARM_MATH_ARGUMENT_ERROR; + } + else + { + + /* The algorithm implementation is based on the lengths of the inputs. */ + /* srcB is always made to slide across srcA. */ + /* So srcBLen is always considered as shorter or equal to srcALen */ + if (srcALen >= srcBLen) + { + /* Initialization of inputA pointer */ + pIn1 = pSrcA; + + /* Initialization of inputB pointer */ + pIn2 = pSrcB; + } + else + { + /* Initialization of inputA pointer */ + pIn1 = pSrcB; + + /* Initialization of inputB pointer */ + pIn2 = pSrcA; + + /* srcBLen is always considered as shorter or equal to srcALen */ + j = srcBLen; + srcBLen = srcALen; + srcALen = j; + } + + /* pointer to take end of scratch2 buffer */ + pScr2 = pScratch2; + + /* points to smaller length sequence */ + px = pIn2 + srcBLen - 1; + + /* Apply loop unrolling and do 4 Copies simultaneously. */ + k = srcBLen >> 2U; + + /* First part of the processing with loop unrolling copies 4 data points at a time. + ** a second loop below copies for the remaining 1 to 3 samples. */ + while (k > 0U) + { + /* copy second buffer in reversal manner */ + x4 = (q15_t) * px--; + *pScr2++ = x4; + x4 = (q15_t) * px--; + *pScr2++ = x4; + x4 = (q15_t) * px--; + *pScr2++ = x4; + x4 = (q15_t) * px--; + *pScr2++ = x4; + + /* Decrement the loop counter */ + k--; + } + + /* If the count is not a multiple of 4, copy remaining samples here. + ** No loop unrolling is used. */ + k = srcBLen % 0x4U; + + while (k > 0U) + { + /* copy second buffer in reversal manner for remaining samples */ + x4 = (q15_t) * px--; + *pScr2++ = x4; + + /* Decrement the loop counter */ + k--; + } + + /* Initialze temporary scratch pointer */ + pScr1 = pScratch1; + + /* Fill (srcBLen - 1U) zeros in scratch buffer */ + arm_fill_q15(0, pScr1, (srcBLen - 1U)); + + /* Update temporary scratch pointer */ + pScr1 += (srcBLen - 1U); + + /* Copy (srcALen) samples in scratch buffer */ + /* Apply loop unrolling and do 4 Copies simultaneously. */ + k = srcALen >> 2U; + + /* First part of the processing with loop unrolling copies 4 data points at a time. + ** a second loop below copies for the remaining 1 to 3 samples. */ + while (k > 0U) + { + /* copy second buffer in reversal manner */ + x4 = (q15_t) * pIn1++; + *pScr1++ = x4; + x4 = (q15_t) * pIn1++; + *pScr1++ = x4; + x4 = (q15_t) * pIn1++; + *pScr1++ = x4; + x4 = (q15_t) * pIn1++; + *pScr1++ = x4; + + /* Decrement the loop counter */ + k--; + } + + /* If the count is not a multiple of 4, copy remaining samples here. + ** No loop unrolling is used. */ + k = srcALen % 0x4U; + + while (k > 0U) + { + /* copy second buffer in reversal manner for remaining samples */ + x4 = (q15_t) * pIn1++; + *pScr1++ = x4; + + /* Decrement the loop counter */ + k--; + } + + /* Apply loop unrolling and do 4 Copies simultaneously. */ + k = (srcBLen - 1U) >> 2U; + + /* First part of the processing with loop unrolling copies 4 data points at a time. + ** a second loop below copies for the remaining 1 to 3 samples. */ + while (k > 0U) + { + /* copy second buffer in reversal manner */ + *pScr1++ = 0; + *pScr1++ = 0; + *pScr1++ = 0; + *pScr1++ = 0; + + /* Decrement the loop counter */ + k--; + } + + /* If the count is not a multiple of 4, copy remaining samples here. + ** No loop unrolling is used. */ + k = (srcBLen - 1U) % 0x4U; + + while (k > 0U) + { + /* copy second buffer in reversal manner for remaining samples */ + *pScr1++ = 0; + + /* Decrement the loop counter */ + k--; + } + + + /* Temporary pointer for scratch2 */ + py = pScratch2; + + /* Initialization of pIn2 pointer */ + pIn2 = (q7_t *) py; + + pScr2 = py; + + pOut = pDst + firstIndex; + + pScratch1 += firstIndex; + + /* Actual convolution process starts here */ + blkCnt = (numPoints) >> 2; + + + while (blkCnt > 0) + { + /* Initialze temporary scratch pointer as scratch1 */ + pScr1 = pScratch1; + + /* Clear Accumlators */ + acc0 = 0; + acc1 = 0; + acc2 = 0; + acc3 = 0; + + /* Read two samples from scratch1 buffer */ + x10 = *pScr1++; + x11 = *pScr1++; + + /* Read next two samples from scratch1 buffer */ + x20 = *pScr1++; + x21 = *pScr1++; + + tapCnt = (srcBLen) >> 2U; + + while (tapCnt > 0U) + { + + /* Read four samples from smaller buffer */ + y10 = *pScr2; + y11 = *(pScr2 + 1U); + + /* multiply and accumlate */ + acc0 += (q31_t) x10 *y10; + acc0 += (q31_t) x11 *y11; + acc2 += (q31_t) x20 *y10; + acc2 += (q31_t) x21 *y11; + + + acc1 += (q31_t) x11 *y10; + acc1 += (q31_t) x20 *y11; + + /* Read next two samples from scratch1 buffer */ + x10 = *pScr1; + x11 = *(pScr1 + 1U); + + /* multiply and accumlate */ + acc3 += (q31_t) x21 *y10; + acc3 += (q31_t) x10 *y11; + + /* Read next two samples from scratch2 buffer */ + y10 = *(pScr2 + 2U); + y11 = *(pScr2 + 3U); + + /* multiply and accumlate */ + acc0 += (q31_t) x20 *y10; + acc0 += (q31_t) x21 *y11; + acc2 += (q31_t) x10 *y10; + acc2 += (q31_t) x11 *y11; + acc1 += (q31_t) x21 *y10; + acc1 += (q31_t) x10 *y11; + + /* Read next two samples from scratch1 buffer */ + x20 = *(pScr1 + 2); + x21 = *(pScr1 + 3); + + /* multiply and accumlate */ + acc3 += (q31_t) x11 *y10; + acc3 += (q31_t) x20 *y11; + + /* update scratch pointers */ + + pScr1 += 4U; + pScr2 += 4U; + + /* Decrement the loop counter */ + tapCnt--; + } + + + + /* Update scratch pointer for remaining samples of smaller length sequence */ + pScr1 -= 4U; + + + /* apply same above for remaining samples of smaller length sequence */ + tapCnt = (srcBLen) & 3U; + + while (tapCnt > 0U) + { + + /* accumlate the results */ + acc0 += (*pScr1++ * *pScr2); + acc1 += (*pScr1++ * *pScr2); + acc2 += (*pScr1++ * *pScr2); + acc3 += (*pScr1++ * *pScr2++); + + pScr1 -= 3U; + + /* Decrement the loop counter */ + tapCnt--; + } + + blkCnt--; + + /* Store the result in the accumulator in the destination buffer. */ + *pOut++ = (q7_t) (__SSAT(acc0 >> 7U, 8)); + *pOut++ = (q7_t) (__SSAT(acc1 >> 7U, 8)); + *pOut++ = (q7_t) (__SSAT(acc2 >> 7U, 8)); + *pOut++ = (q7_t) (__SSAT(acc3 >> 7U, 8)); + + /* Initialization of inputB pointer */ + pScr2 = py; + + pScratch1 += 4U; + + } + + blkCnt = (numPoints) & 0x3; + + /* Calculate convolution for remaining samples of Bigger length sequence */ + while (blkCnt > 0) + { + /* Initialze temporary scratch pointer as scratch1 */ + pScr1 = pScratch1; + + /* Clear Accumlators */ + acc0 = 0; + + tapCnt = (srcBLen) >> 1U; + + while (tapCnt > 0U) + { + + /* Read next two samples from scratch1 buffer */ + x10 = *pScr1++; + x11 = *pScr1++; + + /* Read two samples from smaller buffer */ + y10 = *pScr2++; + y11 = *pScr2++; + + /* multiply and accumlate */ + acc0 += (q31_t) x10 *y10; + acc0 += (q31_t) x11 *y11; + + /* Decrement the loop counter */ + tapCnt--; + } + + tapCnt = (srcBLen) & 1U; + + /* apply same above for remaining samples of smaller length sequence */ + while (tapCnt > 0U) + { + + /* accumlate the results */ + acc0 += (*pScr1++ * *pScr2++); + + /* Decrement the loop counter */ + tapCnt--; + } + + blkCnt--; + + /* Store the result in the accumulator in the destination buffer. */ + *pOut++ = (q7_t) (__SSAT(acc0 >> 7U, 8)); + + /* Initialization of inputB pointer */ + pScr2 = py; + + pScratch1 += 1U; + + } + + /* set status as ARM_MATH_SUCCESS */ + status = ARM_MATH_SUCCESS; + + } + + return (status); + +} + +#endif /* #ifndef UNALIGNED_SUPPORT_DISABLE */ + + + +/** + * @} end of PartialConv group + */ diff --git a/fw/hid-dials/Drivers/CMSIS/DSP/Source/FilteringFunctions/arm_conv_partial_q15.c b/fw/hid-dials/Drivers/CMSIS/DSP/Source/FilteringFunctions/arm_conv_partial_q15.c new file mode 100644 index 0000000..43d2b35 --- /dev/null +++ b/fw/hid-dials/Drivers/CMSIS/DSP/Source/FilteringFunctions/arm_conv_partial_q15.c @@ -0,0 +1,795 @@ +/* ---------------------------------------------------------------------- + * Project: CMSIS DSP Library + * Title: arm_conv_partial_q15.c + * Description: Partial convolution of Q15 sequences + * + * $Date: 27. January 2017 + * $Revision: V.1.5.1 + * + * Target Processor: Cortex-M cores + * -------------------------------------------------------------------- */ +/* + * Copyright (C) 2010-2017 ARM Limited or its affiliates. All rights reserved. + * + * SPDX-License-Identifier: Apache-2.0 + * + * Licensed under the Apache License, Version 2.0 (the License); you may + * not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an AS IS BASIS, WITHOUT + * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ + +#include "arm_math.h" + +/** + * @ingroup groupFilters + */ + +/** + * @addtogroup PartialConv + * @{ + */ + +/** + * @brief Partial convolution of Q15 sequences. + * @param[in] *pSrcA points to the first input sequence. + * @param[in] srcALen length of the first input sequence. + * @param[in] *pSrcB points to the second input sequence. + * @param[in] srcBLen length of the second input sequence. + * @param[out] *pDst points to the location where the output result is written. + * @param[in] firstIndex is the first output sample to start with. + * @param[in] numPoints is the number of output points to be computed. + * @return Returns either ARM_MATH_SUCCESS if the function completed correctly or ARM_MATH_ARGUMENT_ERROR if the requested subset is not in the range [0 srcALen+srcBLen-2]. + * + * Refer to arm_conv_partial_fast_q15() for a faster but less precise version of this function for Cortex-M3 and Cortex-M4. + * + * \par + * Refer the function arm_conv_partial_opt_q15() for a faster implementation of this function using scratch buffers. + * + */ + +arm_status arm_conv_partial_q15( + q15_t * pSrcA, + uint32_t srcALen, + q15_t * pSrcB, + uint32_t srcBLen, + q15_t * pDst, + uint32_t firstIndex, + uint32_t numPoints) +{ + + +#if (defined(ARM_MATH_CM7) || defined(ARM_MATH_CM4) || defined(ARM_MATH_CM3)) && !defined(UNALIGNED_SUPPORT_DISABLE) + + /* Run the below code for Cortex-M4 and Cortex-M3 */ + + q15_t *pIn1; /* inputA pointer */ + q15_t *pIn2; /* inputB pointer */ + q15_t *pOut = pDst; /* output pointer */ + q63_t sum, acc0, acc1, acc2, acc3; /* Accumulator */ + q15_t *px; /* Intermediate inputA pointer */ + q15_t *py; /* Intermediate inputB pointer */ + q15_t *pSrc1, *pSrc2; /* Intermediate pointers */ + q31_t x0, x1, x2, x3, c0; /* Temporary input variables */ + uint32_t j, k, count, check, blkCnt; + int32_t blockSize1, blockSize2, blockSize3; /* loop counter */ + arm_status status; /* status of Partial convolution */ + + /* Check for range of output samples to be calculated */ + if ((firstIndex + numPoints) > ((srcALen + (srcBLen - 1U)))) + { + /* Set status as ARM_MATH_ARGUMENT_ERROR */ + status = ARM_MATH_ARGUMENT_ERROR; + } + else + { + + /* The algorithm implementation is based on the lengths of the inputs. */ + /* srcB is always made to slide across srcA. */ + /* So srcBLen is always considered as shorter or equal to srcALen */ + if (srcALen >= srcBLen) + { + /* Initialization of inputA pointer */ + pIn1 = pSrcA; + + /* Initialization of inputB pointer */ + pIn2 = pSrcB; + } + else + { + /* Initialization of inputA pointer */ + pIn1 = pSrcB; + + /* Initialization of inputB pointer */ + pIn2 = pSrcA; + + /* srcBLen is always considered as shorter or equal to srcALen */ + j = srcBLen; + srcBLen = srcALen; + srcALen = j; + } + + /* Conditions to check which loopCounter holds + * the first and last indices of the output samples to be calculated. */ + check = firstIndex + numPoints; + blockSize3 = ((int32_t)check > (int32_t)srcALen) ? (int32_t)check - (int32_t)srcALen : 0; + blockSize3 = ((int32_t)firstIndex > (int32_t)srcALen - 1) ? blockSize3 - (int32_t)firstIndex + (int32_t)srcALen : blockSize3; + blockSize1 = (((int32_t) srcBLen - 1) - (int32_t) firstIndex); + blockSize1 = (blockSize1 > 0) ? ((check > (srcBLen - 1U)) ? blockSize1 : + (int32_t) numPoints) : 0; + blockSize2 = (int32_t) check - ((blockSize3 + blockSize1) + + (int32_t) firstIndex); + blockSize2 = (blockSize2 > 0) ? blockSize2 : 0; + + /* conv(x,y) at n = x[n] * y[0] + x[n-1] * y[1] + x[n-2] * y[2] + ...+ x[n-N+1] * y[N -1] */ + /* The function is internally + * divided into three stages according to the number of multiplications that has to be + * taken place between inputA samples and inputB samples. In the first stage of the + * algorithm, the multiplications increase by one for every iteration. + * In the second stage of the algorithm, srcBLen number of multiplications are done. + * In the third stage of the algorithm, the multiplications decrease by one + * for every iteration. */ + + /* Set the output pointer to point to the firstIndex + * of the output sample to be calculated. */ + pOut = pDst + firstIndex; + + /* -------------------------- + * Initializations of stage1 + * -------------------------*/ + + /* sum = x[0] * y[0] + * sum = x[0] * y[1] + x[1] * y[0] + * .... + * sum = x[0] * y[srcBlen - 1] + x[1] * y[srcBlen - 2] +...+ x[srcBLen - 1] * y[0] + */ + + /* In this stage the MAC operations are increased by 1 for every iteration. + The count variable holds the number of MAC operations performed. + Since the partial convolution starts from firstIndex + Number of Macs to be performed is firstIndex + 1 */ + count = 1U + firstIndex; + + /* Working pointer of inputA */ + px = pIn1; + + /* Working pointer of inputB */ + pSrc2 = pIn2 + firstIndex; + py = pSrc2; + + /* ------------------------ + * Stage1 process + * ----------------------*/ + + /* For loop unrolling by 4, this stage is divided into two. */ + /* First part of this stage computes the MAC operations less than 4 */ + /* Second part of this stage computes the MAC operations greater than or equal to 4 */ + + /* The first part of the stage starts here */ + while ((count < 4U) && (blockSize1 > 0)) + { + /* Accumulator is made zero for every iteration */ + sum = 0; + + /* Loop over number of MAC operations between + * inputA samples and inputB samples */ + k = count; + + while (k > 0U) + { + /* Perform the multiply-accumulates */ + sum = __SMLALD(*px++, *py--, sum); + + /* Decrement the loop counter */ + k--; + } + + /* Store the result in the accumulator in the destination buffer. */ + *pOut++ = (q15_t) (__SSAT((sum >> 15), 16)); + + /* Update the inputA and inputB pointers for next MAC calculation */ + py = ++pSrc2; + px = pIn1; + + /* Increment the MAC count */ + count++; + + /* Decrement the loop counter */ + blockSize1--; + } + + /* The second part of the stage starts here */ + /* The internal loop, over count, is unrolled by 4 */ + /* To, read the last two inputB samples using SIMD: + * y[srcBLen] and y[srcBLen-1] coefficients, py is decremented by 1 */ + py = py - 1; + + while (blockSize1 > 0) + { + /* Accumulator is made zero for every iteration */ + sum = 0; + + /* Apply loop unrolling and compute 4 MACs simultaneously. */ + k = count >> 2U; + + /* First part of the processing with loop unrolling. Compute 4 MACs at a time. + ** a second loop below computes MACs for the remaining 1 to 3 samples. */ + while (k > 0U) + { + /* Perform the multiply-accumulates */ + /* x[0], x[1] are multiplied with y[srcBLen - 1], y[srcBLen - 2] respectively */ + sum = __SMLALDX(*__SIMD32(px)++, *__SIMD32(py)--, sum); + /* x[2], x[3] are multiplied with y[srcBLen - 3], y[srcBLen - 4] respectively */ + sum = __SMLALDX(*__SIMD32(px)++, *__SIMD32(py)--, sum); + + /* Decrement the loop counter */ + k--; + } + + /* For the next MAC operations, the pointer py is used without SIMD + * So, py is incremented by 1 */ + py = py + 1U; + + /* If the count is not a multiple of 4, compute any remaining MACs here. + ** No loop unrolling is used. */ + k = count % 0x4U; + + while (k > 0U) + { + /* Perform the multiply-accumulates */ + sum = __SMLALD(*px++, *py--, sum); + + /* Decrement the loop counter */ + k--; + } + + /* Store the result in the accumulator in the destination buffer. */ + *pOut++ = (q15_t) (__SSAT((sum >> 15), 16)); + + /* Update the inputA and inputB pointers for next MAC calculation */ + py = ++pSrc2 - 1U; + px = pIn1; + + /* Increment the MAC count */ + count++; + + /* Decrement the loop counter */ + blockSize1--; + } + + /* -------------------------- + * Initializations of stage2 + * ------------------------*/ + + /* sum = x[0] * y[srcBLen-1] + x[1] * y[srcBLen-2] +...+ x[srcBLen-1] * y[0] + * sum = x[1] * y[srcBLen-1] + x[2] * y[srcBLen-2] +...+ x[srcBLen] * y[0] + * .... + * sum = x[srcALen-srcBLen-2] * y[srcBLen-1] + x[srcALen] * y[srcBLen-2] +...+ x[srcALen-1] * y[0] + */ + + /* Working pointer of inputA */ + if ((int32_t)firstIndex - (int32_t)srcBLen + 1 > 0) + { + px = pIn1 + firstIndex - srcBLen + 1; + } + else + { + px = pIn1; + } + + /* Working pointer of inputB */ + pSrc2 = pIn2 + (srcBLen - 1U); + py = pSrc2; + + /* count is the index by which the pointer pIn1 to be incremented */ + count = 0U; + + + /* -------------------- + * Stage2 process + * -------------------*/ + + /* Stage2 depends on srcBLen as in this stage srcBLen number of MACS are performed. + * So, to loop unroll over blockSize2, + * srcBLen should be greater than or equal to 4 */ + if (srcBLen >= 4U) + { + /* Loop unroll over blockSize2, by 4 */ + blkCnt = blockSize2 >> 2U; + + while (blkCnt > 0U) + { + py = py - 1U; + + /* Set all accumulators to zero */ + acc0 = 0; + acc1 = 0; + acc2 = 0; + acc3 = 0; + + + /* read x[0], x[1] samples */ + x0 = *__SIMD32(px); + /* read x[1], x[2] samples */ + x1 = _SIMD32_OFFSET(px+1); + px+= 2U; + + + /* Apply loop unrolling and compute 4 MACs simultaneously. */ + k = srcBLen >> 2U; + + /* First part of the processing with loop unrolling. Compute 4 MACs at a time. + ** a second loop below computes MACs for the remaining 1 to 3 samples. */ + do + { + /* Read the last two inputB samples using SIMD: + * y[srcBLen - 1] and y[srcBLen - 2] */ + c0 = *__SIMD32(py)--; + + /* acc0 += x[0] * y[srcBLen - 1] + x[1] * y[srcBLen - 2] */ + acc0 = __SMLALDX(x0, c0, acc0); + + /* acc1 += x[1] * y[srcBLen - 1] + x[2] * y[srcBLen - 2] */ + acc1 = __SMLALDX(x1, c0, acc1); + + /* Read x[2], x[3] */ + x2 = *__SIMD32(px); + + /* Read x[3], x[4] */ + x3 = _SIMD32_OFFSET(px+1); + + /* acc2 += x[2] * y[srcBLen - 1] + x[3] * y[srcBLen - 2] */ + acc2 = __SMLALDX(x2, c0, acc2); + + /* acc3 += x[3] * y[srcBLen - 1] + x[4] * y[srcBLen - 2] */ + acc3 = __SMLALDX(x3, c0, acc3); + + /* Read y[srcBLen - 3] and y[srcBLen - 4] */ + c0 = *__SIMD32(py)--; + + /* acc0 += x[2] * y[srcBLen - 3] + x[3] * y[srcBLen - 4] */ + acc0 = __SMLALDX(x2, c0, acc0); + + /* acc1 += x[3] * y[srcBLen - 3] + x[4] * y[srcBLen - 4] */ + acc1 = __SMLALDX(x3, c0, acc1); + + /* Read x[4], x[5] */ + x0 = _SIMD32_OFFSET(px+2); + + /* Read x[5], x[6] */ + x1 = _SIMD32_OFFSET(px+3); + px += 4U; + + /* acc2 += x[4] * y[srcBLen - 3] + x[5] * y[srcBLen - 4] */ + acc2 = __SMLALDX(x0, c0, acc2); + + /* acc3 += x[5] * y[srcBLen - 3] + x[6] * y[srcBLen - 4] */ + acc3 = __SMLALDX(x1, c0, acc3); + + } while (--k); + + /* For the next MAC operations, SIMD is not used + * So, the 16 bit pointer if inputB, py is updated */ + + /* If the srcBLen is not a multiple of 4, compute any remaining MACs here. + ** No loop unrolling is used. */ + k = srcBLen % 0x4U; + + if (k == 1U) + { + /* Read y[srcBLen - 5] */ + c0 = *(py+1); + +#ifdef ARM_MATH_BIG_ENDIAN + + c0 = c0 << 16U; + +#else + + c0 = c0 & 0x0000FFFF; + +#endif /* #ifdef ARM_MATH_BIG_ENDIAN */ + + /* Read x[7] */ + x3 = *__SIMD32(px); + px++; + + /* Perform the multiply-accumulates */ + acc0 = __SMLALD(x0, c0, acc0); + acc1 = __SMLALD(x1, c0, acc1); + acc2 = __SMLALDX(x1, c0, acc2); + acc3 = __SMLALDX(x3, c0, acc3); + } + + if (k == 2U) + { + /* Read y[srcBLen - 5], y[srcBLen - 6] */ + c0 = _SIMD32_OFFSET(py); + + /* Read x[7], x[8] */ + x3 = *__SIMD32(px); + + /* Read x[9] */ + x2 = _SIMD32_OFFSET(px+1); + px += 2U; + + /* Perform the multiply-accumulates */ + acc0 = __SMLALDX(x0, c0, acc0); + acc1 = __SMLALDX(x1, c0, acc1); + acc2 = __SMLALDX(x3, c0, acc2); + acc3 = __SMLALDX(x2, c0, acc3); + } + + if (k == 3U) + { + /* Read y[srcBLen - 5], y[srcBLen - 6] */ + c0 = _SIMD32_OFFSET(py); + + /* Read x[7], x[8] */ + x3 = *__SIMD32(px); + + /* Read x[9] */ + x2 = _SIMD32_OFFSET(px+1); + + /* Perform the multiply-accumulates */ + acc0 = __SMLALDX(x0, c0, acc0); + acc1 = __SMLALDX(x1, c0, acc1); + acc2 = __SMLALDX(x3, c0, acc2); + acc3 = __SMLALDX(x2, c0, acc3); + + c0 = *(py-1); + +#ifdef ARM_MATH_BIG_ENDIAN + + c0 = c0 << 16U; +#else + + c0 = c0 & 0x0000FFFF; +#endif /* #ifdef ARM_MATH_BIG_ENDIAN */ + + /* Read x[10] */ + x3 = _SIMD32_OFFSET(px+2); + px += 3U; + + /* Perform the multiply-accumulates */ + acc0 = __SMLALDX(x1, c0, acc0); + acc1 = __SMLALD(x2, c0, acc1); + acc2 = __SMLALDX(x2, c0, acc2); + acc3 = __SMLALDX(x3, c0, acc3); + } + + + /* Store the results in the accumulators in the destination buffer. */ + +#ifndef ARM_MATH_BIG_ENDIAN + + *__SIMD32(pOut)++ = + __PKHBT(__SSAT((acc0 >> 15), 16), __SSAT((acc1 >> 15), 16), 16); + *__SIMD32(pOut)++ = + __PKHBT(__SSAT((acc2 >> 15), 16), __SSAT((acc3 >> 15), 16), 16); + +#else + + *__SIMD32(pOut)++ = + __PKHBT(__SSAT((acc1 >> 15), 16), __SSAT((acc0 >> 15), 16), 16); + *__SIMD32(pOut)++ = + __PKHBT(__SSAT((acc3 >> 15), 16), __SSAT((acc2 >> 15), 16), 16); + +#endif /* #ifndef ARM_MATH_BIG_ENDIAN */ + + /* Increment the pointer pIn1 index, count by 4 */ + count += 4U; + + /* Update the inputA and inputB pointers for next MAC calculation */ + if ((int32_t)firstIndex - (int32_t)srcBLen + 1 > 0) + { + px = pIn1 + firstIndex - srcBLen + 1 + count; + } + else + { + px = pIn1 + count; + } + py = pSrc2; + + /* Decrement the loop counter */ + blkCnt--; + } + + /* If the blockSize2 is not a multiple of 4, compute any remaining output samples here. + ** No loop unrolling is used. */ + blkCnt = (uint32_t) blockSize2 % 0x4U; + + while (blkCnt > 0U) + { + /* Accumulator is made zero for every iteration */ + sum = 0; + + /* Apply loop unrolling and compute 4 MACs simultaneously. */ + k = srcBLen >> 2U; + + /* First part of the processing with loop unrolling. Compute 4 MACs at a time. + ** a second loop below computes MACs for the remaining 1 to 3 samples. */ + while (k > 0U) + { + /* Perform the multiply-accumulates */ + sum += (q63_t) ((q31_t) * px++ * *py--); + sum += (q63_t) ((q31_t) * px++ * *py--); + sum += (q63_t) ((q31_t) * px++ * *py--); + sum += (q63_t) ((q31_t) * px++ * *py--); + + /* Decrement the loop counter */ + k--; + } + + /* If the srcBLen is not a multiple of 4, compute any remaining MACs here. + ** No loop unrolling is used. */ + k = srcBLen % 0x4U; + + while (k > 0U) + { + /* Perform the multiply-accumulates */ + sum += (q63_t) ((q31_t) * px++ * *py--); + + /* Decrement the loop counter */ + k--; + } + + /* Store the result in the accumulator in the destination buffer. */ + *pOut++ = (q15_t) (__SSAT(sum >> 15, 16)); + + /* Increment the pointer pIn1 index, count by 1 */ + count++; + + /* Update the inputA and inputB pointers for next MAC calculation */ + if ((int32_t)firstIndex - (int32_t)srcBLen + 1 > 0) + { + px = pIn1 + firstIndex - srcBLen + 1 + count; + } + else + { + px = pIn1 + count; + } + py = pSrc2; + + /* Decrement the loop counter */ + blkCnt--; + } + } + else + { + /* If the srcBLen is not a multiple of 4, + * the blockSize2 loop cannot be unrolled by 4 */ + blkCnt = (uint32_t) blockSize2; + + while (blkCnt > 0U) + { + /* Accumulator is made zero for every iteration */ + sum = 0; + + /* srcBLen number of MACS should be performed */ + k = srcBLen; + + while (k > 0U) + { + /* Perform the multiply-accumulate */ + sum += (q63_t) ((q31_t) * px++ * *py--); + + /* Decrement the loop counter */ + k--; + } + + /* Store the result in the accumulator in the destination buffer. */ + *pOut++ = (q15_t) (__SSAT(sum >> 15, 16)); + + /* Increment the MAC count */ + count++; + + /* Update the inputA and inputB pointers for next MAC calculation */ + if ((int32_t)firstIndex - (int32_t)srcBLen + 1 > 0) + { + px = pIn1 + firstIndex - srcBLen + 1 + count; + } + else + { + px = pIn1 + count; + } + py = pSrc2; + + /* Decrement the loop counter */ + blkCnt--; + } + } + + + /* -------------------------- + * Initializations of stage3 + * -------------------------*/ + + /* sum += x[srcALen-srcBLen+1] * y[srcBLen-1] + x[srcALen-srcBLen+2] * y[srcBLen-2] +...+ x[srcALen-1] * y[1] + * sum += x[srcALen-srcBLen+2] * y[srcBLen-1] + x[srcALen-srcBLen+3] * y[srcBLen-2] +...+ x[srcALen-1] * y[2] + * .... + * sum += x[srcALen-2] * y[srcBLen-1] + x[srcALen-1] * y[srcBLen-2] + * sum += x[srcALen-1] * y[srcBLen-1] + */ + + /* In this stage the MAC operations are decreased by 1 for every iteration. + The count variable holds the number of MAC operations performed */ + count = srcBLen - 1U; + + /* Working pointer of inputA */ + pSrc1 = (pIn1 + srcALen) - (srcBLen - 1U); + px = pSrc1; + + /* Working pointer of inputB */ + pSrc2 = pIn2 + (srcBLen - 1U); + pIn2 = pSrc2 - 1U; + py = pIn2; + + /* ------------------- + * Stage3 process + * ------------------*/ + + /* For loop unrolling by 4, this stage is divided into two. */ + /* First part of this stage computes the MAC operations greater than 4 */ + /* Second part of this stage computes the MAC operations less than or equal to 4 */ + + /* The first part of the stage starts here */ + j = count >> 2U; + + while ((j > 0U) && (blockSize3 > 0)) + { + /* Accumulator is made zero for every iteration */ + sum = 0; + + /* Apply loop unrolling and compute 4 MACs simultaneously. */ + k = count >> 2U; + + /* First part of the processing with loop unrolling. Compute 4 MACs at a time. + ** a second loop below computes MACs for the remaining 1 to 3 samples. */ + while (k > 0U) + { + /* x[srcALen - srcBLen + 1], x[srcALen - srcBLen + 2] are multiplied + * with y[srcBLen - 1], y[srcBLen - 2] respectively */ + sum = __SMLALDX(*__SIMD32(px)++, *__SIMD32(py)--, sum); + /* x[srcALen - srcBLen + 3], x[srcALen - srcBLen + 4] are multiplied + * with y[srcBLen - 3], y[srcBLen - 4] respectively */ + sum = __SMLALDX(*__SIMD32(px)++, *__SIMD32(py)--, sum); + + /* Decrement the loop counter */ + k--; + } + + /* For the next MAC operations, the pointer py is used without SIMD + * So, py is incremented by 1 */ + py = py + 1U; + + /* If the count is not a multiple of 4, compute any remaining MACs here. + ** No loop unrolling is used. */ + k = count % 0x4U; + + while (k > 0U) + { + /* sum += x[srcALen - srcBLen + 5] * y[srcBLen - 5] */ + sum = __SMLALD(*px++, *py--, sum); + + /* Decrement the loop counter */ + k--; + } + + /* Store the result in the accumulator in the destination buffer. */ + *pOut++ = (q15_t) (__SSAT((sum >> 15), 16)); + + /* Update the inputA and inputB pointers for next MAC calculation */ + px = ++pSrc1; + py = pIn2; + + /* Decrement the MAC count */ + count--; + + /* Decrement the loop counter */ + blockSize3--; + + j--; + } + + /* The second part of the stage starts here */ + /* SIMD is not used for the next MAC operations, + * so pointer py is updated to read only one sample at a time */ + py = py + 1U; + + while (blockSize3 > 0) + { + /* Accumulator is made zero for every iteration */ + sum = 0; + + /* Apply loop unrolling and compute 4 MACs simultaneously. */ + k = count; + + while (k > 0U) + { + /* Perform the multiply-accumulates */ + /* sum += x[srcALen-1] * y[srcBLen-1] */ + sum = __SMLALD(*px++, *py--, sum); + + /* Decrement the loop counter */ + k--; + } + + /* Store the result in the accumulator in the destination buffer. */ + *pOut++ = (q15_t) (__SSAT((sum >> 15), 16)); + + /* Update the inputA and inputB pointers for next MAC calculation */ + px = ++pSrc1; + py = pSrc2; + + /* Decrement the MAC count */ + count--; + + /* Decrement the loop counter */ + blockSize3--; + } + + /* set status as ARM_MATH_SUCCESS */ + status = ARM_MATH_SUCCESS; + } + + /* Return to application */ + return (status); + +#else + + /* Run the below code for Cortex-M0 */ + + q15_t *pIn1 = pSrcA; /* inputA pointer */ + q15_t *pIn2 = pSrcB; /* inputB pointer */ + q63_t sum; /* Accumulator */ + uint32_t i, j; /* loop counters */ + arm_status status; /* status of Partial convolution */ + + /* Check for range of output samples to be calculated */ + if ((firstIndex + numPoints) > ((srcALen + (srcBLen - 1U)))) + { + /* Set status as ARM_ARGUMENT_ERROR */ + status = ARM_MATH_ARGUMENT_ERROR; + } + else + { + /* Loop to calculate convolution for output length number of values */ + for (i = firstIndex; i <= (firstIndex + numPoints - 1); i++) + { + /* Initialize sum with zero to carry on MAC operations */ + sum = 0; + + /* Loop to perform MAC operations according to convolution equation */ + for (j = 0; j <= i; j++) + { + /* Check the array limitations */ + if (((i - j) < srcBLen) && (j < srcALen)) + { + /* z[i] += x[i-j] * y[j] */ + sum += ((q31_t) pIn1[j] * (pIn2[i - j])); + } + } + + /* Store the output in the destination buffer */ + pDst[i] = (q15_t) __SSAT((sum >> 15U), 16U); + } + /* set status as ARM_SUCCESS as there are no argument errors */ + status = ARM_MATH_SUCCESS; + } + return (status); + +#endif /* #if (defined(ARM_MATH_CM7) || defined(ARM_MATH_CM4) || defined(ARM_MATH_CM3)) && !defined(UNALIGNED_SUPPORT_DISABLE) */ + +} + +/** + * @} end of PartialConv group + */ diff --git a/fw/hid-dials/Drivers/CMSIS/DSP/Source/FilteringFunctions/arm_conv_partial_q31.c b/fw/hid-dials/Drivers/CMSIS/DSP/Source/FilteringFunctions/arm_conv_partial_q31.c new file mode 100644 index 0000000..3a108e0 --- /dev/null +++ b/fw/hid-dials/Drivers/CMSIS/DSP/Source/FilteringFunctions/arm_conv_partial_q31.c @@ -0,0 +1,616 @@ +/* ---------------------------------------------------------------------- + * Project: CMSIS DSP Library + * Title: arm_conv_partial_q31.c + * Description: Partial convolution of Q31 sequences + * + * $Date: 27. January 2017 + * $Revision: V.1.5.1 + * + * Target Processor: Cortex-M cores + * -------------------------------------------------------------------- */ +/* + * Copyright (C) 2010-2017 ARM Limited or its affiliates. All rights reserved. + * + * SPDX-License-Identifier: Apache-2.0 + * + * Licensed under the Apache License, Version 2.0 (the License); you may + * not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an AS IS BASIS, WITHOUT + * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ + +#include "arm_math.h" + +/** + * @ingroup groupFilters + */ + +/** + * @addtogroup PartialConv + * @{ + */ + +/** + * @brief Partial convolution of Q31 sequences. + * @param[in] *pSrcA points to the first input sequence. + * @param[in] srcALen length of the first input sequence. + * @param[in] *pSrcB points to the second input sequence. + * @param[in] srcBLen length of the second input sequence. + * @param[out] *pDst points to the location where the output result is written. + * @param[in] firstIndex is the first output sample to start with. + * @param[in] numPoints is the number of output points to be computed. + * @return Returns either ARM_MATH_SUCCESS if the function completed correctly or ARM_MATH_ARGUMENT_ERROR if the requested subset is not in the range [0 srcALen+srcBLen-2]. + * + * See arm_conv_partial_fast_q31() for a faster but less precise implementation of this function for Cortex-M3 and Cortex-M4. + */ + +arm_status arm_conv_partial_q31( + q31_t * pSrcA, + uint32_t srcALen, + q31_t * pSrcB, + uint32_t srcBLen, + q31_t * pDst, + uint32_t firstIndex, + uint32_t numPoints) +{ + + +#if defined (ARM_MATH_DSP) + + /* Run the below code for Cortex-M4 and Cortex-M3 */ + + q31_t *pIn1; /* inputA pointer */ + q31_t *pIn2; /* inputB pointer */ + q31_t *pOut = pDst; /* output pointer */ + q31_t *px; /* Intermediate inputA pointer */ + q31_t *py; /* Intermediate inputB pointer */ + q31_t *pSrc1, *pSrc2; /* Intermediate pointers */ + q63_t sum, acc0, acc1, acc2; /* Accumulator */ + q31_t x0, x1, x2, c0; + uint32_t j, k, count, check, blkCnt; + int32_t blockSize1, blockSize2, blockSize3; /* loop counter */ + arm_status status; /* status of Partial convolution */ + + + /* Check for range of output samples to be calculated */ + if ((firstIndex + numPoints) > ((srcALen + (srcBLen - 1U)))) + { + /* Set status as ARM_MATH_ARGUMENT_ERROR */ + status = ARM_MATH_ARGUMENT_ERROR; + } + else + { + + /* The algorithm implementation is based on the lengths of the inputs. */ + /* srcB is always made to slide across srcA. */ + /* So srcBLen is always considered as shorter or equal to srcALen */ + if (srcALen >= srcBLen) + { + /* Initialization of inputA pointer */ + pIn1 = pSrcA; + + /* Initialization of inputB pointer */ + pIn2 = pSrcB; + } + else + { + /* Initialization of inputA pointer */ + pIn1 = pSrcB; + + /* Initialization of inputB pointer */ + pIn2 = pSrcA; + + /* srcBLen is always considered as shorter or equal to srcALen */ + j = srcBLen; + srcBLen = srcALen; + srcALen = j; + } + + /* Conditions to check which loopCounter holds + * the first and last indices of the output samples to be calculated. */ + check = firstIndex + numPoints; + blockSize3 = ((int32_t)check > (int32_t)srcALen) ? (int32_t)check - (int32_t)srcALen : 0; + blockSize3 = ((int32_t)firstIndex > (int32_t)srcALen - 1) ? blockSize3 - (int32_t)firstIndex + (int32_t)srcALen : blockSize3; + blockSize1 = (((int32_t) srcBLen - 1) - (int32_t) firstIndex); + blockSize1 = (blockSize1 > 0) ? ((check > (srcBLen - 1U)) ? blockSize1 : + (int32_t) numPoints) : 0; + blockSize2 = (int32_t) check - ((blockSize3 + blockSize1) + + (int32_t) firstIndex); + blockSize2 = (blockSize2 > 0) ? blockSize2 : 0; + + /* conv(x,y) at n = x[n] * y[0] + x[n-1] * y[1] + x[n-2] * y[2] + ...+ x[n-N+1] * y[N -1] */ + /* The function is internally + * divided into three stages according to the number of multiplications that has to be + * taken place between inputA samples and inputB samples. In the first stage of the + * algorithm, the multiplications increase by one for every iteration. + * In the second stage of the algorithm, srcBLen number of multiplications are done. + * In the third stage of the algorithm, the multiplications decrease by one + * for every iteration. */ + + /* Set the output pointer to point to the firstIndex + * of the output sample to be calculated. */ + pOut = pDst + firstIndex; + + /* -------------------------- + * Initializations of stage1 + * -------------------------*/ + + /* sum = x[0] * y[0] + * sum = x[0] * y[1] + x[1] * y[0] + * .... + * sum = x[0] * y[srcBlen - 1] + x[1] * y[srcBlen - 2] +...+ x[srcBLen - 1] * y[0] + */ + + /* In this stage the MAC operations are increased by 1 for every iteration. + The count variable holds the number of MAC operations performed. + Since the partial convolution starts from firstIndex + Number of Macs to be performed is firstIndex + 1 */ + count = 1U + firstIndex; + + /* Working pointer of inputA */ + px = pIn1; + + /* Working pointer of inputB */ + pSrc2 = pIn2 + firstIndex; + py = pSrc2; + + /* ------------------------ + * Stage1 process + * ----------------------*/ + + /* The first loop starts here */ + while (blockSize1 > 0) + { + /* Accumulator is made zero for every iteration */ + sum = 0; + + /* Apply loop unrolling and compute 4 MACs simultaneously. */ + k = count >> 2U; + + /* First part of the processing with loop unrolling. Compute 4 MACs at a time. + ** a second loop below computes MACs for the remaining 1 to 3 samples. */ + while (k > 0U) + { + /* x[0] * y[srcBLen - 1] */ + sum += (q63_t) * px++ * (*py--); + /* x[1] * y[srcBLen - 2] */ + sum += (q63_t) * px++ * (*py--); + /* x[2] * y[srcBLen - 3] */ + sum += (q63_t) * px++ * (*py--); + /* x[3] * y[srcBLen - 4] */ + sum += (q63_t) * px++ * (*py--); + + /* Decrement the loop counter */ + k--; + } + + /* If the count is not a multiple of 4, compute any remaining MACs here. + ** No loop unrolling is used. */ + k = count % 0x4U; + + while (k > 0U) + { + /* Perform the multiply-accumulate */ + sum += (q63_t) * px++ * (*py--); + + /* Decrement the loop counter */ + k--; + } + + /* Store the result in the accumulator in the destination buffer. */ + *pOut++ = (q31_t) (sum >> 31); + + /* Update the inputA and inputB pointers for next MAC calculation */ + py = ++pSrc2; + px = pIn1; + + /* Increment the MAC count */ + count++; + + /* Decrement the loop counter */ + blockSize1--; + } + + /* -------------------------- + * Initializations of stage2 + * ------------------------*/ + + /* sum = x[0] * y[srcBLen-1] + x[1] * y[srcBLen-2] +...+ x[srcBLen-1] * y[0] + * sum = x[1] * y[srcBLen-1] + x[2] * y[srcBLen-2] +...+ x[srcBLen] * y[0] + * .... + * sum = x[srcALen-srcBLen-2] * y[srcBLen-1] + x[srcALen] * y[srcBLen-2] +...+ x[srcALen-1] * y[0] + */ + + /* Working pointer of inputA */ + if ((int32_t)firstIndex - (int32_t)srcBLen + 1 > 0) + { + px = pIn1 + firstIndex - srcBLen + 1; + } + else + { + px = pIn1; + } + + /* Working pointer of inputB */ + pSrc2 = pIn2 + (srcBLen - 1U); + py = pSrc2; + + /* count is index by which the pointer pIn1 to be incremented */ + count = 0U; + + /* ------------------- + * Stage2 process + * ------------------*/ + + /* Stage2 depends on srcBLen as in this stage srcBLen number of MACS are performed. + * So, to loop unroll over blockSize2, + * srcBLen should be greater than or equal to 4 */ + if (srcBLen >= 4U) + { + /* Loop unroll over blkCnt */ + + blkCnt = blockSize2 / 3; + while (blkCnt > 0U) + { + /* Set all accumulators to zero */ + acc0 = 0; + acc1 = 0; + acc2 = 0; + + /* read x[0], x[1] samples */ + x0 = *(px++); + x1 = *(px++); + + /* Apply loop unrolling and compute 3 MACs simultaneously. */ + k = srcBLen / 3; + + /* First part of the processing with loop unrolling. Compute 3 MACs at a time. + ** a second loop below computes MACs for the remaining 1 to 2 samples. */ + do + { + /* Read y[srcBLen - 1] sample */ + c0 = *(py); + + /* Read x[2] sample */ + x2 = *(px); + + /* Perform the multiply-accumulates */ + /* acc0 += x[0] * y[srcBLen - 1] */ + acc0 += (q63_t) x0 *c0; + /* acc1 += x[1] * y[srcBLen - 1] */ + acc1 += (q63_t) x1 *c0; + /* acc2 += x[2] * y[srcBLen - 1] */ + acc2 += (q63_t) x2 *c0; + + /* Read y[srcBLen - 2] sample */ + c0 = *(py - 1U); + + /* Read x[3] sample */ + x0 = *(px + 1U); + + /* Perform the multiply-accumulate */ + /* acc0 += x[1] * y[srcBLen - 2] */ + acc0 += (q63_t) x1 *c0; + /* acc1 += x[2] * y[srcBLen - 2] */ + acc1 += (q63_t) x2 *c0; + /* acc2 += x[3] * y[srcBLen - 2] */ + acc2 += (q63_t) x0 *c0; + + /* Read y[srcBLen - 3] sample */ + c0 = *(py - 2U); + + /* Read x[4] sample */ + x1 = *(px + 2U); + + /* Perform the multiply-accumulates */ + /* acc0 += x[2] * y[srcBLen - 3] */ + acc0 += (q63_t) x2 *c0; + /* acc1 += x[3] * y[srcBLen - 2] */ + acc1 += (q63_t) x0 *c0; + /* acc2 += x[4] * y[srcBLen - 2] */ + acc2 += (q63_t) x1 *c0; + + + px += 3U; + + py -= 3U; + + } while (--k); + + /* If the srcBLen is not a multiple of 3, compute any remaining MACs here. + ** No loop unrolling is used. */ + k = srcBLen - (3 * (srcBLen / 3)); + + while (k > 0U) + { + /* Read y[srcBLen - 5] sample */ + c0 = *(py--); + + /* Read x[7] sample */ + x2 = *(px++); + + /* Perform the multiply-accumulates */ + /* acc0 += x[4] * y[srcBLen - 5] */ + acc0 += (q63_t) x0 *c0; + /* acc1 += x[5] * y[srcBLen - 5] */ + acc1 += (q63_t) x1 *c0; + /* acc2 += x[6] * y[srcBLen - 5] */ + acc2 += (q63_t) x2 *c0; + + /* Reuse the present samples for the next MAC */ + x0 = x1; + x1 = x2; + + /* Decrement the loop counter */ + k--; + } + + /* Store the result in the accumulator in the destination buffer. */ + *pOut++ = (q31_t) (acc0 >> 31); + *pOut++ = (q31_t) (acc1 >> 31); + *pOut++ = (q31_t) (acc2 >> 31); + + /* Increment the pointer pIn1 index, count by 3 */ + count += 3U; + + /* Update the inputA and inputB pointers for next MAC calculation */ + if ((int32_t)firstIndex - (int32_t)srcBLen + 1 > 0) + { + px = pIn1 + firstIndex - srcBLen + 1 + count; + } + else + { + px = pIn1 + count; + } + py = pSrc2; + + /* Decrement the loop counter */ + blkCnt--; + } + + /* If the blockSize2 is not a multiple of 3, compute any remaining output samples here. + ** No loop unrolling is used. */ + blkCnt = blockSize2 - 3 * (blockSize2 / 3); + + while (blkCnt > 0U) + { + /* Accumulator is made zero for every iteration */ + sum = 0; + + /* Apply loop unrolling and compute 4 MACs simultaneously. */ + k = srcBLen >> 2U; + + /* First part of the processing with loop unrolling. Compute 4 MACs at a time. + ** a second loop below computes MACs for the remaining 1 to 3 samples. */ + while (k > 0U) + { + /* Perform the multiply-accumulates */ + sum += (q63_t) * px++ * (*py--); + sum += (q63_t) * px++ * (*py--); + sum += (q63_t) * px++ * (*py--); + sum += (q63_t) * px++ * (*py--); + + /* Decrement the loop counter */ + k--; + } + + /* If the srcBLen is not a multiple of 4, compute any remaining MACs here. + ** No loop unrolling is used. */ + k = srcBLen % 0x4U; + + while (k > 0U) + { + /* Perform the multiply-accumulate */ + sum += (q63_t) * px++ * (*py--); + + /* Decrement the loop counter */ + k--; + } + + /* Store the result in the accumulator in the destination buffer. */ + *pOut++ = (q31_t) (sum >> 31); + + /* Increment the MAC count */ + count++; + + /* Update the inputA and inputB pointers for next MAC calculation */ + if ((int32_t)firstIndex - (int32_t)srcBLen + 1 > 0) + { + px = pIn1 + firstIndex - srcBLen + 1 + count; + } + else + { + px = pIn1 + count; + } + py = pSrc2; + + /* Decrement the loop counter */ + blkCnt--; + } + } + else + { + /* If the srcBLen is not a multiple of 4, + * the blockSize2 loop cannot be unrolled by 4 */ + blkCnt = (uint32_t) blockSize2; + + while (blkCnt > 0U) + { + /* Accumulator is made zero for every iteration */ + sum = 0; + + /* srcBLen number of MACS should be performed */ + k = srcBLen; + + while (k > 0U) + { + /* Perform the multiply-accumulate */ + sum += (q63_t) * px++ * (*py--); + + /* Decrement the loop counter */ + k--; + } + + /* Store the result in the accumulator in the destination buffer. */ + *pOut++ = (q31_t) (sum >> 31); + + /* Increment the MAC count */ + count++; + + /* Update the inputA and inputB pointers for next MAC calculation */ + if ((int32_t)firstIndex - (int32_t)srcBLen + 1 > 0) + { + px = pIn1 + firstIndex - srcBLen + 1 + count; + } + else + { + px = pIn1 + count; + } + py = pSrc2; + + /* Decrement the loop counter */ + blkCnt--; + } + } + + + /* -------------------------- + * Initializations of stage3 + * -------------------------*/ + + /* sum += x[srcALen-srcBLen+1] * y[srcBLen-1] + x[srcALen-srcBLen+2] * y[srcBLen-2] +...+ x[srcALen-1] * y[1] + * sum += x[srcALen-srcBLen+2] * y[srcBLen-1] + x[srcALen-srcBLen+3] * y[srcBLen-2] +...+ x[srcALen-1] * y[2] + * .... + * sum += x[srcALen-2] * y[srcBLen-1] + x[srcALen-1] * y[srcBLen-2] + * sum += x[srcALen-1] * y[srcBLen-1] + */ + + /* In this stage the MAC operations are decreased by 1 for every iteration. + The blockSize3 variable holds the number of MAC operations performed */ + count = srcBLen - 1U; + + /* Working pointer of inputA */ + pSrc1 = (pIn1 + srcALen) - (srcBLen - 1U); + px = pSrc1; + + /* Working pointer of inputB */ + pSrc2 = pIn2 + (srcBLen - 1U); + py = pSrc2; + + /* ------------------- + * Stage3 process + * ------------------*/ + + while (blockSize3 > 0) + { + /* Accumulator is made zero for every iteration */ + sum = 0; + + /* Apply loop unrolling and compute 4 MACs simultaneously. */ + k = count >> 2U; + + /* First part of the processing with loop unrolling. Compute 4 MACs at a time. + ** a second loop below computes MACs for the remaining 1 to 3 samples. */ + while (k > 0U) + { + sum += (q63_t) * px++ * (*py--); + sum += (q63_t) * px++ * (*py--); + sum += (q63_t) * px++ * (*py--); + sum += (q63_t) * px++ * (*py--); + + /* Decrement the loop counter */ + k--; + } + + /* If the blockSize3 is not a multiple of 4, compute any remaining MACs here. + ** No loop unrolling is used. */ + k = count % 0x4U; + + while (k > 0U) + { + /* Perform the multiply-accumulate */ + sum += (q63_t) * px++ * (*py--); + + /* Decrement the loop counter */ + k--; + } + + /* Store the result in the accumulator in the destination buffer. */ + *pOut++ = (q31_t) (sum >> 31); + + /* Update the inputA and inputB pointers for next MAC calculation */ + px = ++pSrc1; + py = pSrc2; + + /* Decrement the MAC count */ + count--; + + /* Decrement the loop counter */ + blockSize3--; + + } + + /* set status as ARM_MATH_SUCCESS */ + status = ARM_MATH_SUCCESS; + } + + /* Return to application */ + return (status); + +#else + + /* Run the below code for Cortex-M0 */ + + q31_t *pIn1 = pSrcA; /* inputA pointer */ + q31_t *pIn2 = pSrcB; /* inputB pointer */ + q63_t sum; /* Accumulator */ + uint32_t i, j; /* loop counters */ + arm_status status; /* status of Partial convolution */ + + /* Check for range of output samples to be calculated */ + if ((firstIndex + numPoints) > ((srcALen + (srcBLen - 1U)))) + { + /* Set status as ARM_ARGUMENT_ERROR */ + status = ARM_MATH_ARGUMENT_ERROR; + } + else + { + /* Loop to calculate convolution for output length number of values */ + for (i = firstIndex; i <= (firstIndex + numPoints - 1); i++) + { + /* Initialize sum with zero to carry on MAC operations */ + sum = 0; + + /* Loop to perform MAC operations according to convolution equation */ + for (j = 0; j <= i; j++) + { + /* Check the array limitations */ + if (((i - j) < srcBLen) && (j < srcALen)) + { + /* z[i] += x[i-j] * y[j] */ + sum += ((q63_t) pIn1[j] * (pIn2[i - j])); + } + } + + /* Store the output in the destination buffer */ + pDst[i] = (q31_t) (sum >> 31U); + } + /* set status as ARM_SUCCESS as there are no argument errors */ + status = ARM_MATH_SUCCESS; + } + return (status); + +#endif /* #if defined (ARM_MATH_DSP) */ + +} + +/** + * @} end of PartialConv group + */ diff --git a/fw/hid-dials/Drivers/CMSIS/DSP/Source/FilteringFunctions/arm_conv_partial_q7.c b/fw/hid-dials/Drivers/CMSIS/DSP/Source/FilteringFunctions/arm_conv_partial_q7.c new file mode 100644 index 0000000..cb4c562 --- /dev/null +++ b/fw/hid-dials/Drivers/CMSIS/DSP/Source/FilteringFunctions/arm_conv_partial_q7.c @@ -0,0 +1,750 @@ +/* ---------------------------------------------------------------------- + * Project: CMSIS DSP Library + * Title: arm_conv_partial_q7.c + * Description: Partial convolution of Q7 sequences + * + * $Date: 27. January 2017 + * $Revision: V.1.5.1 + * + * Target Processor: Cortex-M cores + * -------------------------------------------------------------------- */ +/* + * Copyright (C) 2010-2017 ARM Limited or its affiliates. All rights reserved. + * + * SPDX-License-Identifier: Apache-2.0 + * + * Licensed under the Apache License, Version 2.0 (the License); you may + * not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an AS IS BASIS, WITHOUT + * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ + +#include "arm_math.h" + +/** + * @ingroup groupFilters + */ + +/** + * @addtogroup PartialConv + * @{ + */ + +/** + * @brief Partial convolution of Q7 sequences. + * @param[in] *pSrcA points to the first input sequence. + * @param[in] srcALen length of the first input sequence. + * @param[in] *pSrcB points to the second input sequence. + * @param[in] srcBLen length of the second input sequence. + * @param[out] *pDst points to the location where the output result is written. + * @param[in] firstIndex is the first output sample to start with. + * @param[in] numPoints is the number of output points to be computed. + * @return Returns either ARM_MATH_SUCCESS if the function completed correctly or ARM_MATH_ARGUMENT_ERROR if the requested subset is not in the range [0 srcALen+srcBLen-2]. + * + * \par + * Refer the function arm_conv_partial_opt_q7() for a faster implementation of this function. + * + */ + +arm_status arm_conv_partial_q7( + q7_t * pSrcA, + uint32_t srcALen, + q7_t * pSrcB, + uint32_t srcBLen, + q7_t * pDst, + uint32_t firstIndex, + uint32_t numPoints) +{ + + +#if defined (ARM_MATH_DSP) + + /* Run the below code for Cortex-M4 and Cortex-M3 */ + + q7_t *pIn1; /* inputA pointer */ + q7_t *pIn2; /* inputB pointer */ + q7_t *pOut = pDst; /* output pointer */ + q7_t *px; /* Intermediate inputA pointer */ + q7_t *py; /* Intermediate inputB pointer */ + q7_t *pSrc1, *pSrc2; /* Intermediate pointers */ + q31_t sum, acc0, acc1, acc2, acc3; /* Accumulator */ + q31_t input1, input2; + q15_t in1, in2; + q7_t x0, x1, x2, x3, c0, c1; + uint32_t j, k, count, check, blkCnt; + int32_t blockSize1, blockSize2, blockSize3; /* loop counter */ + arm_status status; + + + /* Check for range of output samples to be calculated */ + if ((firstIndex + numPoints) > ((srcALen + (srcBLen - 1U)))) + { + /* Set status as ARM_MATH_ARGUMENT_ERROR */ + status = ARM_MATH_ARGUMENT_ERROR; + } + else + { + + /* The algorithm implementation is based on the lengths of the inputs. */ + /* srcB is always made to slide across srcA. */ + /* So srcBLen is always considered as shorter or equal to srcALen */ + if (srcALen >= srcBLen) + { + /* Initialization of inputA pointer */ + pIn1 = pSrcA; + + /* Initialization of inputB pointer */ + pIn2 = pSrcB; + } + else + { + /* Initialization of inputA pointer */ + pIn1 = pSrcB; + + /* Initialization of inputB pointer */ + pIn2 = pSrcA; + + /* srcBLen is always considered as shorter or equal to srcALen */ + j = srcBLen; + srcBLen = srcALen; + srcALen = j; + } + + /* Conditions to check which loopCounter holds + * the first and last indices of the output samples to be calculated. */ + check = firstIndex + numPoints; + blockSize3 = ((int32_t)check > (int32_t)srcALen) ? (int32_t)check - (int32_t)srcALen : 0; + blockSize3 = ((int32_t)firstIndex > (int32_t)srcALen - 1) ? blockSize3 - (int32_t)firstIndex + (int32_t)srcALen : blockSize3; + blockSize1 = (((int32_t) srcBLen - 1) - (int32_t) firstIndex); + blockSize1 = (blockSize1 > 0) ? ((check > (srcBLen - 1U)) ? blockSize1 : + (int32_t) numPoints) : 0; + blockSize2 = (int32_t) check - ((blockSize3 + blockSize1) + + (int32_t) firstIndex); + blockSize2 = (blockSize2 > 0) ? blockSize2 : 0; + + /* conv(x,y) at n = x[n] * y[0] + x[n-1] * y[1] + x[n-2] * y[2] + ...+ x[n-N+1] * y[N -1] */ + /* The function is internally + * divided into three stages according to the number of multiplications that has to be + * taken place between inputA samples and inputB samples. In the first stage of the + * algorithm, the multiplications increase by one for every iteration. + * In the second stage of the algorithm, srcBLen number of multiplications are done. + * In the third stage of the algorithm, the multiplications decrease by one + * for every iteration. */ + + /* Set the output pointer to point to the firstIndex + * of the output sample to be calculated. */ + pOut = pDst + firstIndex; + + /* -------------------------- + * Initializations of stage1 + * -------------------------*/ + + /* sum = x[0] * y[0] + * sum = x[0] * y[1] + x[1] * y[0] + * .... + * sum = x[0] * y[srcBlen - 1] + x[1] * y[srcBlen - 2] +...+ x[srcBLen - 1] * y[0] + */ + + /* In this stage the MAC operations are increased by 1 for every iteration. + The count variable holds the number of MAC operations performed. + Since the partial convolution starts from from firstIndex + Number of Macs to be performed is firstIndex + 1 */ + count = 1U + firstIndex; + + /* Working pointer of inputA */ + px = pIn1; + + /* Working pointer of inputB */ + pSrc2 = pIn2 + firstIndex; + py = pSrc2; + + /* ------------------------ + * Stage1 process + * ----------------------*/ + + /* The first stage starts here */ + while (blockSize1 > 0) + { + /* Accumulator is made zero for every iteration */ + sum = 0; + + /* Apply loop unrolling and compute 4 MACs simultaneously. */ + k = count >> 2U; + + /* First part of the processing with loop unrolling. Compute 4 MACs at a time. + ** a second loop below computes MACs for the remaining 1 to 3 samples. */ + while (k > 0U) + { + /* x[0] , x[1] */ + in1 = (q15_t) * px++; + in2 = (q15_t) * px++; + input1 = ((q31_t) in1 & 0x0000FFFF) | ((q31_t) in2 << 16); + + /* y[srcBLen - 1] , y[srcBLen - 2] */ + in1 = (q15_t) * py--; + in2 = (q15_t) * py--; + input2 = ((q31_t) in1 & 0x0000FFFF) | ((q31_t) in2 << 16); + + /* x[0] * y[srcBLen - 1] */ + /* x[1] * y[srcBLen - 2] */ + sum = __SMLAD(input1, input2, sum); + + /* x[2] , x[3] */ + in1 = (q15_t) * px++; + in2 = (q15_t) * px++; + input1 = ((q31_t) in1 & 0x0000FFFF) | ((q31_t) in2 << 16); + + /* y[srcBLen - 3] , y[srcBLen - 4] */ + in1 = (q15_t) * py--; + in2 = (q15_t) * py--; + input2 = ((q31_t) in1 & 0x0000FFFF) | ((q31_t) in2 << 16); + + /* x[2] * y[srcBLen - 3] */ + /* x[3] * y[srcBLen - 4] */ + sum = __SMLAD(input1, input2, sum); + + /* Decrement the loop counter */ + k--; + } + + /* If the count is not a multiple of 4, compute any remaining MACs here. + ** No loop unrolling is used. */ + k = count % 0x4U; + + while (k > 0U) + { + /* Perform the multiply-accumulates */ + sum += ((q31_t) * px++ * *py--); + + /* Decrement the loop counter */ + k--; + } + + /* Store the result in the accumulator in the destination buffer. */ + *pOut++ = (q7_t) (__SSAT(sum >> 7, 8)); + + /* Update the inputA and inputB pointers for next MAC calculation */ + py = ++pSrc2; + px = pIn1; + + /* Increment the MAC count */ + count++; + + /* Decrement the loop counter */ + blockSize1--; + } + + /* -------------------------- + * Initializations of stage2 + * ------------------------*/ + + /* sum = x[0] * y[srcBLen-1] + x[1] * y[srcBLen-2] +...+ x[srcBLen-1] * y[0] + * sum = x[1] * y[srcBLen-1] + x[2] * y[srcBLen-2] +...+ x[srcBLen] * y[0] + * .... + * sum = x[srcALen-srcBLen-2] * y[srcBLen-1] + x[srcALen] * y[srcBLen-2] +...+ x[srcALen-1] * y[0] + */ + + /* Working pointer of inputA */ + if ((int32_t)firstIndex - (int32_t)srcBLen + 1 > 0) + { + px = pIn1 + firstIndex - srcBLen + 1; + } + else + { + px = pIn1; + } + + /* Working pointer of inputB */ + pSrc2 = pIn2 + (srcBLen - 1U); + py = pSrc2; + + /* count is index by which the pointer pIn1 to be incremented */ + count = 0U; + + /* ------------------- + * Stage2 process + * ------------------*/ + + /* Stage2 depends on srcBLen as in this stage srcBLen number of MACS are performed. + * So, to loop unroll over blockSize2, + * srcBLen should be greater than or equal to 4 */ + if (srcBLen >= 4U) + { + /* Loop unroll over blockSize2, by 4 */ + blkCnt = ((uint32_t) blockSize2 >> 2U); + + while (blkCnt > 0U) + { + /* Set all accumulators to zero */ + acc0 = 0; + acc1 = 0; + acc2 = 0; + acc3 = 0; + + /* read x[0], x[1], x[2] samples */ + x0 = *(px++); + x1 = *(px++); + x2 = *(px++); + + /* Apply loop unrolling and compute 4 MACs simultaneously. */ + k = srcBLen >> 2U; + + /* First part of the processing with loop unrolling. Compute 4 MACs at a time. + ** a second loop below computes MACs for the remaining 1 to 3 samples. */ + do + { + /* Read y[srcBLen - 1] sample */ + c0 = *(py--); + /* Read y[srcBLen - 2] sample */ + c1 = *(py--); + + /* Read x[3] sample */ + x3 = *(px++); + + /* x[0] and x[1] are packed */ + in1 = (q15_t) x0; + in2 = (q15_t) x1; + + input1 = ((q31_t) in1 & 0x0000FFFF) | ((q31_t) in2 << 16); + + /* y[srcBLen - 1] and y[srcBLen - 2] are packed */ + in1 = (q15_t) c0; + in2 = (q15_t) c1; + + input2 = ((q31_t) in1 & 0x0000FFFF) | ((q31_t) in2 << 16); + + /* acc0 += x[0] * y[srcBLen - 1] + x[1] * y[srcBLen - 2] */ + acc0 = __SMLAD(input1, input2, acc0); + + /* x[1] and x[2] are packed */ + in1 = (q15_t) x1; + in2 = (q15_t) x2; + + input1 = ((q31_t) in1 & 0x0000FFFF) | ((q31_t) in2 << 16); + + /* acc1 += x[1] * y[srcBLen - 1] + x[2] * y[srcBLen - 2] */ + acc1 = __SMLAD(input1, input2, acc1); + + /* x[2] and x[3] are packed */ + in1 = (q15_t) x2; + in2 = (q15_t) x3; + + input1 = ((q31_t) in1 & 0x0000FFFF) | ((q31_t) in2 << 16); + + /* acc2 += x[2] * y[srcBLen - 1] + x[3] * y[srcBLen - 2] */ + acc2 = __SMLAD(input1, input2, acc2); + + /* Read x[4] sample */ + x0 = *(px++); + + /* x[3] and x[4] are packed */ + in1 = (q15_t) x3; + in2 = (q15_t) x0; + + input1 = ((q31_t) in1 & 0x0000FFFF) | ((q31_t) in2 << 16); + + /* acc3 += x[3] * y[srcBLen - 1] + x[4] * y[srcBLen - 2] */ + acc3 = __SMLAD(input1, input2, acc3); + + /* Read y[srcBLen - 3] sample */ + c0 = *(py--); + /* Read y[srcBLen - 4] sample */ + c1 = *(py--); + + /* Read x[5] sample */ + x1 = *(px++); + + /* x[2] and x[3] are packed */ + in1 = (q15_t) x2; + in2 = (q15_t) x3; + + input1 = ((q31_t) in1 & 0x0000FFFF) | ((q31_t) in2 << 16); + + /* y[srcBLen - 3] and y[srcBLen - 4] are packed */ + in1 = (q15_t) c0; + in2 = (q15_t) c1; + + input2 = ((q31_t) in1 & 0x0000FFFF) | ((q31_t) in2 << 16); + + /* acc0 += x[2] * y[srcBLen - 3] + x[3] * y[srcBLen - 4] */ + acc0 = __SMLAD(input1, input2, acc0); + + /* x[3] and x[4] are packed */ + in1 = (q15_t) x3; + in2 = (q15_t) x0; + + input1 = ((q31_t) in1 & 0x0000FFFF) | ((q31_t) in2 << 16); + + /* acc1 += x[3] * y[srcBLen - 3] + x[4] * y[srcBLen - 4] */ + acc1 = __SMLAD(input1, input2, acc1); + + /* x[4] and x[5] are packed */ + in1 = (q15_t) x0; + in2 = (q15_t) x1; + + input1 = ((q31_t) in1 & 0x0000FFFF) | ((q31_t) in2 << 16); + + /* acc2 += x[4] * y[srcBLen - 3] + x[5] * y[srcBLen - 4] */ + acc2 = __SMLAD(input1, input2, acc2); + + /* Read x[6] sample */ + x2 = *(px++); + + /* x[5] and x[6] are packed */ + in1 = (q15_t) x1; + in2 = (q15_t) x2; + + input1 = ((q31_t) in1 & 0x0000FFFF) | ((q31_t) in2 << 16); + + /* acc3 += x[5] * y[srcBLen - 3] + x[6] * y[srcBLen - 4] */ + acc3 = __SMLAD(input1, input2, acc3); + + } while (--k); + + /* If the srcBLen is not a multiple of 4, compute any remaining MACs here. + ** No loop unrolling is used. */ + k = srcBLen % 0x4U; + + while (k > 0U) + { + /* Read y[srcBLen - 5] sample */ + c0 = *(py--); + + /* Read x[7] sample */ + x3 = *(px++); + + /* Perform the multiply-accumulates */ + /* acc0 += x[4] * y[srcBLen - 5] */ + acc0 += ((q31_t) x0 * c0); + /* acc1 += x[5] * y[srcBLen - 5] */ + acc1 += ((q31_t) x1 * c0); + /* acc2 += x[6] * y[srcBLen - 5] */ + acc2 += ((q31_t) x2 * c0); + /* acc3 += x[7] * y[srcBLen - 5] */ + acc3 += ((q31_t) x3 * c0); + + /* Reuse the present samples for the next MAC */ + x0 = x1; + x1 = x2; + x2 = x3; + + /* Decrement the loop counter */ + k--; + } + + /* Store the result in the accumulator in the destination buffer. */ + *pOut++ = (q7_t) (__SSAT(acc0 >> 7, 8)); + *pOut++ = (q7_t) (__SSAT(acc1 >> 7, 8)); + *pOut++ = (q7_t) (__SSAT(acc2 >> 7, 8)); + *pOut++ = (q7_t) (__SSAT(acc3 >> 7, 8)); + + /* Increment the pointer pIn1 index, count by 4 */ + count += 4U; + + /* Update the inputA and inputB pointers for next MAC calculation */ + if ((int32_t)firstIndex - (int32_t)srcBLen + 1 > 0) + { + px = pIn1 + firstIndex - srcBLen + 1 + count; + } + else + { + px = pIn1 + count; + } + py = pSrc2; + + + /* Decrement the loop counter */ + blkCnt--; + } + + /* If the blockSize2 is not a multiple of 4, compute any remaining output samples here. + ** No loop unrolling is used. */ + blkCnt = (uint32_t) blockSize2 % 0x4U; + + while (blkCnt > 0U) + { + /* Accumulator is made zero for every iteration */ + sum = 0; + + /* Apply loop unrolling and compute 4 MACs simultaneously. */ + k = srcBLen >> 2U; + + /* First part of the processing with loop unrolling. Compute 4 MACs at a time. + ** a second loop below computes MACs for the remaining 1 to 3 samples. */ + while (k > 0U) + { + + /* Reading two inputs of SrcA buffer and packing */ + in1 = (q15_t) * px++; + in2 = (q15_t) * px++; + input1 = ((q31_t) in1 & 0x0000FFFF) | ((q31_t) in2 << 16); + + /* Reading two inputs of SrcB buffer and packing */ + in1 = (q15_t) * py--; + in2 = (q15_t) * py--; + input2 = ((q31_t) in1 & 0x0000FFFF) | ((q31_t) in2 << 16); + + /* Perform the multiply-accumulates */ + sum = __SMLAD(input1, input2, sum); + + /* Reading two inputs of SrcA buffer and packing */ + in1 = (q15_t) * px++; + in2 = (q15_t) * px++; + input1 = ((q31_t) in1 & 0x0000FFFF) | ((q31_t) in2 << 16); + + /* Reading two inputs of SrcB buffer and packing */ + in1 = (q15_t) * py--; + in2 = (q15_t) * py--; + input2 = ((q31_t) in1 & 0x0000FFFF) | ((q31_t) in2 << 16); + + /* Perform the multiply-accumulates */ + sum = __SMLAD(input1, input2, sum); + + /* Decrement the loop counter */ + k--; + } + + /* If the srcBLen is not a multiple of 4, compute any remaining MACs here. + ** No loop unrolling is used. */ + k = srcBLen % 0x4U; + + while (k > 0U) + { + /* Perform the multiply-accumulates */ + sum += ((q31_t) * px++ * *py--); + + /* Decrement the loop counter */ + k--; + } + + /* Store the result in the accumulator in the destination buffer. */ + *pOut++ = (q7_t) (__SSAT(sum >> 7, 8)); + + /* Increment the pointer pIn1 index, count by 1 */ + count++; + + /* Update the inputA and inputB pointers for next MAC calculation */ + if ((int32_t)firstIndex - (int32_t)srcBLen + 1 > 0) + { + px = pIn1 + firstIndex - srcBLen + 1 + count; + } + else + { + px = pIn1 + count; + } + py = pSrc2; + + /* Decrement the loop counter */ + blkCnt--; + } + } + else + { + /* If the srcBLen is not a multiple of 4, + * the blockSize2 loop cannot be unrolled by 4 */ + blkCnt = (uint32_t) blockSize2; + + while (blkCnt > 0U) + { + /* Accumulator is made zero for every iteration */ + sum = 0; + + /* srcBLen number of MACS should be performed */ + k = srcBLen; + + while (k > 0U) + { + /* Perform the multiply-accumulate */ + sum += ((q31_t) * px++ * *py--); + + /* Decrement the loop counter */ + k--; + } + + /* Store the result in the accumulator in the destination buffer. */ + *pOut++ = (q7_t) (__SSAT(sum >> 7, 8)); + + /* Increment the MAC count */ + count++; + + /* Update the inputA and inputB pointers for next MAC calculation */ + if ((int32_t)firstIndex - (int32_t)srcBLen + 1 > 0) + { + px = pIn1 + firstIndex - srcBLen + 1 + count; + } + else + { + px = pIn1 + count; + } + py = pSrc2; + + /* Decrement the loop counter */ + blkCnt--; + } + } + + + /* -------------------------- + * Initializations of stage3 + * -------------------------*/ + + /* sum += x[srcALen-srcBLen+1] * y[srcBLen-1] + x[srcALen-srcBLen+2] * y[srcBLen-2] +...+ x[srcALen-1] * y[1] + * sum += x[srcALen-srcBLen+2] * y[srcBLen-1] + x[srcALen-srcBLen+3] * y[srcBLen-2] +...+ x[srcALen-1] * y[2] + * .... + * sum += x[srcALen-2] * y[srcBLen-1] + x[srcALen-1] * y[srcBLen-2] + * sum += x[srcALen-1] * y[srcBLen-1] + */ + + /* In this stage the MAC operations are decreased by 1 for every iteration. + The count variable holds the number of MAC operations performed */ + count = srcBLen - 1U; + + /* Working pointer of inputA */ + pSrc1 = (pIn1 + srcALen) - (srcBLen - 1U); + px = pSrc1; + + /* Working pointer of inputB */ + pSrc2 = pIn2 + (srcBLen - 1U); + py = pSrc2; + + /* ------------------- + * Stage3 process + * ------------------*/ + + while (blockSize3 > 0) + { + /* Accumulator is made zero for every iteration */ + sum = 0; + + /* Apply loop unrolling and compute 4 MACs simultaneously. */ + k = count >> 2U; + + /* First part of the processing with loop unrolling. Compute 4 MACs at a time. + ** a second loop below computes MACs for the remaining 1 to 3 samples. */ + while (k > 0U) + { + /* Reading two inputs, x[srcALen - srcBLen + 1] and x[srcALen - srcBLen + 2] of SrcA buffer and packing */ + in1 = (q15_t) * px++; + in2 = (q15_t) * px++; + input1 = ((q31_t) in1 & 0x0000FFFF) | ((q31_t) in2 << 16); + + /* Reading two inputs, y[srcBLen - 1] and y[srcBLen - 2] of SrcB buffer and packing */ + in1 = (q15_t) * py--; + in2 = (q15_t) * py--; + input2 = ((q31_t) in1 & 0x0000FFFF) | ((q31_t) in2 << 16); + + /* sum += x[srcALen - srcBLen + 1] * y[srcBLen - 1] */ + /* sum += x[srcALen - srcBLen + 2] * y[srcBLen - 2] */ + sum = __SMLAD(input1, input2, sum); + + /* Reading two inputs, x[srcALen - srcBLen + 3] and x[srcALen - srcBLen + 4] of SrcA buffer and packing */ + in1 = (q15_t) * px++; + in2 = (q15_t) * px++; + input1 = ((q31_t) in1 & 0x0000FFFF) | ((q31_t) in2 << 16); + + /* Reading two inputs, y[srcBLen - 3] and y[srcBLen - 4] of SrcB buffer and packing */ + in1 = (q15_t) * py--; + in2 = (q15_t) * py--; + input2 = ((q31_t) in1 & 0x0000FFFF) | ((q31_t) in2 << 16); + + /* sum += x[srcALen - srcBLen + 3] * y[srcBLen - 3] */ + /* sum += x[srcALen - srcBLen + 4] * y[srcBLen - 4] */ + sum = __SMLAD(input1, input2, sum); + + /* Decrement the loop counter */ + k--; + } + + /* If the count is not a multiple of 4, compute any remaining MACs here. + ** No loop unrolling is used. */ + k = count % 0x4U; + + while (k > 0U) + { + /* Perform the multiply-accumulates */ + /* sum += x[srcALen-1] * y[srcBLen-1] */ + sum += ((q31_t) * px++ * *py--); + + /* Decrement the loop counter */ + k--; + } + + /* Store the result in the accumulator in the destination buffer. */ + *pOut++ = (q7_t) (__SSAT(sum >> 7, 8)); + + /* Update the inputA and inputB pointers for next MAC calculation */ + px = ++pSrc1; + py = pSrc2; + + /* Decrement the MAC count */ + count--; + + /* Decrement the loop counter */ + blockSize3--; + + } + + /* set status as ARM_MATH_SUCCESS */ + status = ARM_MATH_SUCCESS; + } + + /* Return to application */ + return (status); + +#else + + /* Run the below code for Cortex-M0 */ + + q7_t *pIn1 = pSrcA; /* inputA pointer */ + q7_t *pIn2 = pSrcB; /* inputB pointer */ + q31_t sum; /* Accumulator */ + uint32_t i, j; /* loop counters */ + arm_status status; /* status of Partial convolution */ + + /* Check for range of output samples to be calculated */ + if ((firstIndex + numPoints) > ((srcALen + (srcBLen - 1U)))) + { + /* Set status as ARM_ARGUMENT_ERROR */ + status = ARM_MATH_ARGUMENT_ERROR; + } + else + { + /* Loop to calculate convolution for output length number of values */ + for (i = firstIndex; i <= (firstIndex + numPoints - 1); i++) + { + /* Initialize sum with zero to carry on MAC operations */ + sum = 0; + + /* Loop to perform MAC operations according to convolution equation */ + for (j = 0; j <= i; j++) + { + /* Check the array limitations */ + if (((i - j) < srcBLen) && (j < srcALen)) + { + /* z[i] += x[i-j] * y[j] */ + sum += ((q15_t) pIn1[j] * (pIn2[i - j])); + } + } + + /* Store the output in the destination buffer */ + pDst[i] = (q7_t) __SSAT((sum >> 7U), 8U); + } + /* set status as ARM_SUCCESS as there are no argument errors */ + status = ARM_MATH_SUCCESS; + } + return (status); + +#endif /* #if defined (ARM_MATH_DSP) */ + +} + +/** + * @} end of PartialConv group + */ diff --git a/fw/hid-dials/Drivers/CMSIS/DSP/Source/FilteringFunctions/arm_conv_q15.c b/fw/hid-dials/Drivers/CMSIS/DSP/Source/FilteringFunctions/arm_conv_q15.c new file mode 100644 index 0000000..c6721e0 --- /dev/null +++ b/fw/hid-dials/Drivers/CMSIS/DSP/Source/FilteringFunctions/arm_conv_q15.c @@ -0,0 +1,722 @@ +/* ---------------------------------------------------------------------- + * Project: CMSIS DSP Library + * Title: arm_conv_q15.c + * Description: Convolution of Q15 sequences + * + * $Date: 27. January 2017 + * $Revision: V.1.5.1 + * + * Target Processor: Cortex-M cores + * -------------------------------------------------------------------- */ +/* + * Copyright (C) 2010-2017 ARM Limited or its affiliates. All rights reserved. + * + * SPDX-License-Identifier: Apache-2.0 + * + * Licensed under the Apache License, Version 2.0 (the License); you may + * not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an AS IS BASIS, WITHOUT + * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ + +#include "arm_math.h" + +/** + * @ingroup groupFilters + */ + +/** + * @addtogroup Conv + * @{ + */ + +/** + * @brief Convolution of Q15 sequences. + * @param[in] *pSrcA points to the first input sequence. + * @param[in] srcALen length of the first input sequence. + * @param[in] *pSrcB points to the second input sequence. + * @param[in] srcBLen length of the second input sequence. + * @param[out] *pDst points to the location where the output result is written. Length srcALen+srcBLen-1. + * @return none. + * + * @details + * Scaling and Overflow Behavior: + * + * \par + * The function is implemented using a 64-bit internal accumulator. + * Both inputs are in 1.15 format and multiplications yield a 2.30 result. + * The 2.30 intermediate results are accumulated in a 64-bit accumulator in 34.30 format. + * This approach provides 33 guard bits and there is no risk of overflow. + * The 34.30 result is then truncated to 34.15 format by discarding the low 15 bits and then saturated to 1.15 format. + * + * \par + * Refer to arm_conv_fast_q15() for a faster but less precise version of this function for Cortex-M3 and Cortex-M4. + * + * \par + * Refer the function arm_conv_opt_q15() for a faster implementation of this function using scratch buffers. + * + */ + +void arm_conv_q15( + q15_t * pSrcA, + uint32_t srcALen, + q15_t * pSrcB, + uint32_t srcBLen, + q15_t * pDst) +{ + +#if (defined(ARM_MATH_CM7) || defined(ARM_MATH_CM4) || defined(ARM_MATH_CM3)) && !defined(UNALIGNED_SUPPORT_DISABLE) + + /* Run the below code for Cortex-M4 and Cortex-M3 */ + + q15_t *pIn1; /* inputA pointer */ + q15_t *pIn2; /* inputB pointer */ + q15_t *pOut = pDst; /* output pointer */ + q63_t sum, acc0, acc1, acc2, acc3; /* Accumulator */ + q15_t *px; /* Intermediate inputA pointer */ + q15_t *py; /* Intermediate inputB pointer */ + q15_t *pSrc1, *pSrc2; /* Intermediate pointers */ + q31_t x0, x1, x2, x3, c0; /* Temporary variables to hold state and coefficient values */ + uint32_t blockSize1, blockSize2, blockSize3, j, k, count, blkCnt; /* loop counter */ + + /* The algorithm implementation is based on the lengths of the inputs. */ + /* srcB is always made to slide across srcA. */ + /* So srcBLen is always considered as shorter or equal to srcALen */ + if (srcALen >= srcBLen) + { + /* Initialization of inputA pointer */ + pIn1 = pSrcA; + + /* Initialization of inputB pointer */ + pIn2 = pSrcB; + } + else + { + /* Initialization of inputA pointer */ + pIn1 = pSrcB; + + /* Initialization of inputB pointer */ + pIn2 = pSrcA; + + /* srcBLen is always considered as shorter or equal to srcALen */ + j = srcBLen; + srcBLen = srcALen; + srcALen = j; + } + + /* conv(x,y) at n = x[n] * y[0] + x[n-1] * y[1] + x[n-2] * y[2] + ...+ x[n-N+1] * y[N -1] */ + /* The function is internally + * divided into three stages according to the number of multiplications that has to be + * taken place between inputA samples and inputB samples. In the first stage of the + * algorithm, the multiplications increase by one for every iteration. + * In the second stage of the algorithm, srcBLen number of multiplications are done. + * In the third stage of the algorithm, the multiplications decrease by one + * for every iteration. */ + + /* The algorithm is implemented in three stages. + The loop counters of each stage is initiated here. */ + blockSize1 = srcBLen - 1U; + blockSize2 = srcALen - (srcBLen - 1U); + + /* -------------------------- + * Initializations of stage1 + * -------------------------*/ + + /* sum = x[0] * y[0] + * sum = x[0] * y[1] + x[1] * y[0] + * .... + * sum = x[0] * y[srcBlen - 1] + x[1] * y[srcBlen - 2] +...+ x[srcBLen - 1] * y[0] + */ + + /* In this stage the MAC operations are increased by 1 for every iteration. + The count variable holds the number of MAC operations performed */ + count = 1U; + + /* Working pointer of inputA */ + px = pIn1; + + /* Working pointer of inputB */ + py = pIn2; + + + /* ------------------------ + * Stage1 process + * ----------------------*/ + + /* For loop unrolling by 4, this stage is divided into two. */ + /* First part of this stage computes the MAC operations less than 4 */ + /* Second part of this stage computes the MAC operations greater than or equal to 4 */ + + /* The first part of the stage starts here */ + while ((count < 4U) && (blockSize1 > 0U)) + { + /* Accumulator is made zero for every iteration */ + sum = 0; + + /* Loop over number of MAC operations between + * inputA samples and inputB samples */ + k = count; + + while (k > 0U) + { + /* Perform the multiply-accumulates */ + sum = __SMLALD(*px++, *py--, sum); + + /* Decrement the loop counter */ + k--; + } + + /* Store the result in the accumulator in the destination buffer. */ + *pOut++ = (q15_t) (__SSAT((sum >> 15), 16)); + + /* Update the inputA and inputB pointers for next MAC calculation */ + py = pIn2 + count; + px = pIn1; + + /* Increment the MAC count */ + count++; + + /* Decrement the loop counter */ + blockSize1--; + } + + /* The second part of the stage starts here */ + /* The internal loop, over count, is unrolled by 4 */ + /* To, read the last two inputB samples using SIMD: + * y[srcBLen] and y[srcBLen-1] coefficients, py is decremented by 1 */ + py = py - 1; + + while (blockSize1 > 0U) + { + /* Accumulator is made zero for every iteration */ + sum = 0; + + /* Apply loop unrolling and compute 4 MACs simultaneously. */ + k = count >> 2U; + + /* First part of the processing with loop unrolling. Compute 4 MACs at a time. + ** a second loop below computes MACs for the remaining 1 to 3 samples. */ + while (k > 0U) + { + /* Perform the multiply-accumulates */ + /* x[0], x[1] are multiplied with y[srcBLen - 1], y[srcBLen - 2] respectively */ + sum = __SMLALDX(*__SIMD32(px)++, *__SIMD32(py)--, sum); + /* x[2], x[3] are multiplied with y[srcBLen - 3], y[srcBLen - 4] respectively */ + sum = __SMLALDX(*__SIMD32(px)++, *__SIMD32(py)--, sum); + + /* Decrement the loop counter */ + k--; + } + + /* For the next MAC operations, the pointer py is used without SIMD + * So, py is incremented by 1 */ + py = py + 1U; + + /* If the count is not a multiple of 4, compute any remaining MACs here. + ** No loop unrolling is used. */ + k = count % 0x4U; + + while (k > 0U) + { + /* Perform the multiply-accumulates */ + sum = __SMLALD(*px++, *py--, sum); + + /* Decrement the loop counter */ + k--; + } + + /* Store the result in the accumulator in the destination buffer. */ + *pOut++ = (q15_t) (__SSAT((sum >> 15), 16)); + + /* Update the inputA and inputB pointers for next MAC calculation */ + py = pIn2 + (count - 1U); + px = pIn1; + + /* Increment the MAC count */ + count++; + + /* Decrement the loop counter */ + blockSize1--; + } + + /* -------------------------- + * Initializations of stage2 + * ------------------------*/ + + /* sum = x[0] * y[srcBLen-1] + x[1] * y[srcBLen-2] +...+ x[srcBLen-1] * y[0] + * sum = x[1] * y[srcBLen-1] + x[2] * y[srcBLen-2] +...+ x[srcBLen] * y[0] + * .... + * sum = x[srcALen-srcBLen-2] * y[srcBLen-1] + x[srcALen] * y[srcBLen-2] +...+ x[srcALen-1] * y[0] + */ + + /* Working pointer of inputA */ + px = pIn1; + + /* Working pointer of inputB */ + pSrc2 = pIn2 + (srcBLen - 1U); + py = pSrc2; + + /* count is the index by which the pointer pIn1 to be incremented */ + count = 0U; + + + /* -------------------- + * Stage2 process + * -------------------*/ + + /* Stage2 depends on srcBLen as in this stage srcBLen number of MACS are performed. + * So, to loop unroll over blockSize2, + * srcBLen should be greater than or equal to 4 */ + if (srcBLen >= 4U) + { + /* Loop unroll over blockSize2, by 4 */ + blkCnt = blockSize2 >> 2U; + + while (blkCnt > 0U) + { + py = py - 1U; + + /* Set all accumulators to zero */ + acc0 = 0; + acc1 = 0; + acc2 = 0; + acc3 = 0; + + + /* read x[0], x[1] samples */ + x0 = *__SIMD32(px); + /* read x[1], x[2] samples */ + x1 = _SIMD32_OFFSET(px+1); + px+= 2U; + + + /* Apply loop unrolling and compute 4 MACs simultaneously. */ + k = srcBLen >> 2U; + + /* First part of the processing with loop unrolling. Compute 4 MACs at a time. + ** a second loop below computes MACs for the remaining 1 to 3 samples. */ + do + { + /* Read the last two inputB samples using SIMD: + * y[srcBLen - 1] and y[srcBLen - 2] */ + c0 = *__SIMD32(py)--; + + /* acc0 += x[0] * y[srcBLen - 1] + x[1] * y[srcBLen - 2] */ + acc0 = __SMLALDX(x0, c0, acc0); + + /* acc1 += x[1] * y[srcBLen - 1] + x[2] * y[srcBLen - 2] */ + acc1 = __SMLALDX(x1, c0, acc1); + + /* Read x[2], x[3] */ + x2 = *__SIMD32(px); + + /* Read x[3], x[4] */ + x3 = _SIMD32_OFFSET(px+1); + + /* acc2 += x[2] * y[srcBLen - 1] + x[3] * y[srcBLen - 2] */ + acc2 = __SMLALDX(x2, c0, acc2); + + /* acc3 += x[3] * y[srcBLen - 1] + x[4] * y[srcBLen - 2] */ + acc3 = __SMLALDX(x3, c0, acc3); + + /* Read y[srcBLen - 3] and y[srcBLen - 4] */ + c0 = *__SIMD32(py)--; + + /* acc0 += x[2] * y[srcBLen - 3] + x[3] * y[srcBLen - 4] */ + acc0 = __SMLALDX(x2, c0, acc0); + + /* acc1 += x[3] * y[srcBLen - 3] + x[4] * y[srcBLen - 4] */ + acc1 = __SMLALDX(x3, c0, acc1); + + /* Read x[4], x[5] */ + x0 = _SIMD32_OFFSET(px+2); + + /* Read x[5], x[6] */ + x1 = _SIMD32_OFFSET(px+3); + px += 4U; + + /* acc2 += x[4] * y[srcBLen - 3] + x[5] * y[srcBLen - 4] */ + acc2 = __SMLALDX(x0, c0, acc2); + + /* acc3 += x[5] * y[srcBLen - 3] + x[6] * y[srcBLen - 4] */ + acc3 = __SMLALDX(x1, c0, acc3); + + } while (--k); + + /* For the next MAC operations, SIMD is not used + * So, the 16 bit pointer if inputB, py is updated */ + + /* If the srcBLen is not a multiple of 4, compute any remaining MACs here. + ** No loop unrolling is used. */ + k = srcBLen % 0x4U; + + if (k == 1U) + { + /* Read y[srcBLen - 5] */ + c0 = *(py+1); + +#ifdef ARM_MATH_BIG_ENDIAN + + c0 = c0 << 16U; + +#else + + c0 = c0 & 0x0000FFFF; + +#endif /* #ifdef ARM_MATH_BIG_ENDIAN */ + /* Read x[7] */ + x3 = *__SIMD32(px); + px++; + + /* Perform the multiply-accumulates */ + acc0 = __SMLALD(x0, c0, acc0); + acc1 = __SMLALD(x1, c0, acc1); + acc2 = __SMLALDX(x1, c0, acc2); + acc3 = __SMLALDX(x3, c0, acc3); + } + + if (k == 2U) + { + /* Read y[srcBLen - 5], y[srcBLen - 6] */ + c0 = _SIMD32_OFFSET(py); + + /* Read x[7], x[8] */ + x3 = *__SIMD32(px); + + /* Read x[9] */ + x2 = _SIMD32_OFFSET(px+1); + px += 2U; + + /* Perform the multiply-accumulates */ + acc0 = __SMLALDX(x0, c0, acc0); + acc1 = __SMLALDX(x1, c0, acc1); + acc2 = __SMLALDX(x3, c0, acc2); + acc3 = __SMLALDX(x2, c0, acc3); + } + + if (k == 3U) + { + /* Read y[srcBLen - 5], y[srcBLen - 6] */ + c0 = _SIMD32_OFFSET(py); + + /* Read x[7], x[8] */ + x3 = *__SIMD32(px); + + /* Read x[9] */ + x2 = _SIMD32_OFFSET(px+1); + + /* Perform the multiply-accumulates */ + acc0 = __SMLALDX(x0, c0, acc0); + acc1 = __SMLALDX(x1, c0, acc1); + acc2 = __SMLALDX(x3, c0, acc2); + acc3 = __SMLALDX(x2, c0, acc3); + + c0 = *(py-1); + +#ifdef ARM_MATH_BIG_ENDIAN + + c0 = c0 << 16U; +#else + + c0 = c0 & 0x0000FFFF; +#endif /* #ifdef ARM_MATH_BIG_ENDIAN */ + /* Read x[10] */ + x3 = _SIMD32_OFFSET(px+2); + px += 3U; + + /* Perform the multiply-accumulates */ + acc0 = __SMLALDX(x1, c0, acc0); + acc1 = __SMLALD(x2, c0, acc1); + acc2 = __SMLALDX(x2, c0, acc2); + acc3 = __SMLALDX(x3, c0, acc3); + } + + + /* Store the results in the accumulators in the destination buffer. */ + +#ifndef ARM_MATH_BIG_ENDIAN + + *__SIMD32(pOut)++ = + __PKHBT(__SSAT((acc0 >> 15), 16), __SSAT((acc1 >> 15), 16), 16); + *__SIMD32(pOut)++ = + __PKHBT(__SSAT((acc2 >> 15), 16), __SSAT((acc3 >> 15), 16), 16); + +#else + + *__SIMD32(pOut)++ = + __PKHBT(__SSAT((acc1 >> 15), 16), __SSAT((acc0 >> 15), 16), 16); + *__SIMD32(pOut)++ = + __PKHBT(__SSAT((acc3 >> 15), 16), __SSAT((acc2 >> 15), 16), 16); + +#endif /* #ifndef ARM_MATH_BIG_ENDIAN */ + + /* Increment the pointer pIn1 index, count by 4 */ + count += 4U; + + /* Update the inputA and inputB pointers for next MAC calculation */ + px = pIn1 + count; + py = pSrc2; + + /* Decrement the loop counter */ + blkCnt--; + } + + /* If the blockSize2 is not a multiple of 4, compute any remaining output samples here. + ** No loop unrolling is used. */ + blkCnt = blockSize2 % 0x4U; + + while (blkCnt > 0U) + { + /* Accumulator is made zero for every iteration */ + sum = 0; + + /* Apply loop unrolling and compute 4 MACs simultaneously. */ + k = srcBLen >> 2U; + + /* First part of the processing with loop unrolling. Compute 4 MACs at a time. + ** a second loop below computes MACs for the remaining 1 to 3 samples. */ + while (k > 0U) + { + /* Perform the multiply-accumulates */ + sum += (q63_t) ((q31_t) * px++ * *py--); + sum += (q63_t) ((q31_t) * px++ * *py--); + sum += (q63_t) ((q31_t) * px++ * *py--); + sum += (q63_t) ((q31_t) * px++ * *py--); + + /* Decrement the loop counter */ + k--; + } + + /* If the srcBLen is not a multiple of 4, compute any remaining MACs here. + ** No loop unrolling is used. */ + k = srcBLen % 0x4U; + + while (k > 0U) + { + /* Perform the multiply-accumulates */ + sum += (q63_t) ((q31_t) * px++ * *py--); + + /* Decrement the loop counter */ + k--; + } + + /* Store the result in the accumulator in the destination buffer. */ + *pOut++ = (q15_t) (__SSAT(sum >> 15, 16)); + + /* Increment the pointer pIn1 index, count by 1 */ + count++; + + /* Update the inputA and inputB pointers for next MAC calculation */ + px = pIn1 + count; + py = pSrc2; + + /* Decrement the loop counter */ + blkCnt--; + } + } + else + { + /* If the srcBLen is not a multiple of 4, + * the blockSize2 loop cannot be unrolled by 4 */ + blkCnt = blockSize2; + + while (blkCnt > 0U) + { + /* Accumulator is made zero for every iteration */ + sum = 0; + + /* srcBLen number of MACS should be performed */ + k = srcBLen; + + while (k > 0U) + { + /* Perform the multiply-accumulate */ + sum += (q63_t) ((q31_t) * px++ * *py--); + + /* Decrement the loop counter */ + k--; + } + + /* Store the result in the accumulator in the destination buffer. */ + *pOut++ = (q15_t) (__SSAT(sum >> 15, 16)); + + /* Increment the MAC count */ + count++; + + /* Update the inputA and inputB pointers for next MAC calculation */ + px = pIn1 + count; + py = pSrc2; + + /* Decrement the loop counter */ + blkCnt--; + } + } + + + /* -------------------------- + * Initializations of stage3 + * -------------------------*/ + + /* sum += x[srcALen-srcBLen+1] * y[srcBLen-1] + x[srcALen-srcBLen+2] * y[srcBLen-2] +...+ x[srcALen-1] * y[1] + * sum += x[srcALen-srcBLen+2] * y[srcBLen-1] + x[srcALen-srcBLen+3] * y[srcBLen-2] +...+ x[srcALen-1] * y[2] + * .... + * sum += x[srcALen-2] * y[srcBLen-1] + x[srcALen-1] * y[srcBLen-2] + * sum += x[srcALen-1] * y[srcBLen-1] + */ + + /* In this stage the MAC operations are decreased by 1 for every iteration. + The blockSize3 variable holds the number of MAC operations performed */ + + blockSize3 = srcBLen - 1U; + + /* Working pointer of inputA */ + pSrc1 = (pIn1 + srcALen) - (srcBLen - 1U); + px = pSrc1; + + /* Working pointer of inputB */ + pSrc2 = pIn2 + (srcBLen - 1U); + pIn2 = pSrc2 - 1U; + py = pIn2; + + /* ------------------- + * Stage3 process + * ------------------*/ + + /* For loop unrolling by 4, this stage is divided into two. */ + /* First part of this stage computes the MAC operations greater than 4 */ + /* Second part of this stage computes the MAC operations less than or equal to 4 */ + + /* The first part of the stage starts here */ + j = blockSize3 >> 2U; + + while ((j > 0U) && (blockSize3 > 0U)) + { + /* Accumulator is made zero for every iteration */ + sum = 0; + + /* Apply loop unrolling and compute 4 MACs simultaneously. */ + k = blockSize3 >> 2U; + + /* First part of the processing with loop unrolling. Compute 4 MACs at a time. + ** a second loop below computes MACs for the remaining 1 to 3 samples. */ + while (k > 0U) + { + /* x[srcALen - srcBLen + 1], x[srcALen - srcBLen + 2] are multiplied + * with y[srcBLen - 1], y[srcBLen - 2] respectively */ + sum = __SMLALDX(*__SIMD32(px)++, *__SIMD32(py)--, sum); + /* x[srcALen - srcBLen + 3], x[srcALen - srcBLen + 4] are multiplied + * with y[srcBLen - 3], y[srcBLen - 4] respectively */ + sum = __SMLALDX(*__SIMD32(px)++, *__SIMD32(py)--, sum); + + /* Decrement the loop counter */ + k--; + } + + /* For the next MAC operations, the pointer py is used without SIMD + * So, py is incremented by 1 */ + py = py + 1U; + + /* If the blockSize3 is not a multiple of 4, compute any remaining MACs here. + ** No loop unrolling is used. */ + k = blockSize3 % 0x4U; + + while (k > 0U) + { + /* sum += x[srcALen - srcBLen + 5] * y[srcBLen - 5] */ + sum = __SMLALD(*px++, *py--, sum); + + /* Decrement the loop counter */ + k--; + } + + /* Store the result in the accumulator in the destination buffer. */ + *pOut++ = (q15_t) (__SSAT((sum >> 15), 16)); + + /* Update the inputA and inputB pointers for next MAC calculation */ + px = ++pSrc1; + py = pIn2; + + /* Decrement the loop counter */ + blockSize3--; + + j--; + } + + /* The second part of the stage starts here */ + /* SIMD is not used for the next MAC operations, + * so pointer py is updated to read only one sample at a time */ + py = py + 1U; + + while (blockSize3 > 0U) + { + /* Accumulator is made zero for every iteration */ + sum = 0; + + /* Apply loop unrolling and compute 4 MACs simultaneously. */ + k = blockSize3; + + while (k > 0U) + { + /* Perform the multiply-accumulates */ + /* sum += x[srcALen-1] * y[srcBLen-1] */ + sum = __SMLALD(*px++, *py--, sum); + + /* Decrement the loop counter */ + k--; + } + + /* Store the result in the accumulator in the destination buffer. */ + *pOut++ = (q15_t) (__SSAT((sum >> 15), 16)); + + /* Update the inputA and inputB pointers for next MAC calculation */ + px = ++pSrc1; + py = pSrc2; + + /* Decrement the loop counter */ + blockSize3--; + } + +#else + +/* Run the below code for Cortex-M0 */ + + q15_t *pIn1 = pSrcA; /* input pointer */ + q15_t *pIn2 = pSrcB; /* coefficient pointer */ + q63_t sum; /* Accumulator */ + uint32_t i, j; /* loop counter */ + + /* Loop to calculate output of convolution for output length number of times */ + for (i = 0; i < (srcALen + srcBLen - 1); i++) + { + /* Initialize sum with zero to carry on MAC operations */ + sum = 0; + + /* Loop to perform MAC operations according to convolution equation */ + for (j = 0; j <= i; j++) + { + /* Check the array limitations */ + if (((i - j) < srcBLen) && (j < srcALen)) + { + /* z[i] += x[i-j] * y[j] */ + sum += (q31_t) pIn1[j] * (pIn2[i - j]); + } + } + + /* Store the output in the destination buffer */ + pDst[i] = (q15_t) __SSAT((sum >> 15U), 16U); + } + +#endif /* #if (defined(ARM_MATH_CM7) || defined(ARM_MATH_CM4) || defined(ARM_MATH_CM3)) && !defined(UNALIGNED_SUPPORT_DISABLE) */ + +} + +/** + * @} end of Conv group + */ diff --git a/fw/hid-dials/Drivers/CMSIS/DSP/Source/FilteringFunctions/arm_conv_q31.c b/fw/hid-dials/Drivers/CMSIS/DSP/Source/FilteringFunctions/arm_conv_q31.c new file mode 100644 index 0000000..14e5f86 --- /dev/null +++ b/fw/hid-dials/Drivers/CMSIS/DSP/Source/FilteringFunctions/arm_conv_q31.c @@ -0,0 +1,553 @@ +/* ---------------------------------------------------------------------- + * Project: CMSIS DSP Library + * Title: arm_conv_q31.c + * Description: Convolution of Q31 sequences + * + * $Date: 27. January 2017 + * $Revision: V.1.5.1 + * + * Target Processor: Cortex-M cores + * -------------------------------------------------------------------- */ +/* + * Copyright (C) 2010-2017 ARM Limited or its affiliates. All rights reserved. + * + * SPDX-License-Identifier: Apache-2.0 + * + * Licensed under the Apache License, Version 2.0 (the License); you may + * not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an AS IS BASIS, WITHOUT + * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ + +#include "arm_math.h" + +/** + * @ingroup groupFilters + */ + +/** + * @addtogroup Conv + * @{ + */ + +/** + * @brief Convolution of Q31 sequences. + * @param[in] *pSrcA points to the first input sequence. + * @param[in] srcALen length of the first input sequence. + * @param[in] *pSrcB points to the second input sequence. + * @param[in] srcBLen length of the second input sequence. + * @param[out] *pDst points to the location where the output result is written. Length srcALen+srcBLen-1. + * @return none. + * + * @details + * Scaling and Overflow Behavior: + * + * \par + * The function is implemented using an internal 64-bit accumulator. + * The accumulator has a 2.62 format and maintains full precision of the intermediate multiplication results but provides only a single guard bit. + * There is no saturation on intermediate additions. + * Thus, if the accumulator overflows it wraps around and distorts the result. + * The input signals should be scaled down to avoid intermediate overflows. + * Scale down the inputs by log2(min(srcALen, srcBLen)) (log2 is read as log to the base 2) times to avoid overflows, + * as maximum of min(srcALen, srcBLen) number of additions are carried internally. + * The 2.62 accumulator is right shifted by 31 bits and saturated to 1.31 format to yield the final result. + * + * \par + * See arm_conv_fast_q31() for a faster but less precise implementation of this function for Cortex-M3 and Cortex-M4. + */ + +void arm_conv_q31( + q31_t * pSrcA, + uint32_t srcALen, + q31_t * pSrcB, + uint32_t srcBLen, + q31_t * pDst) +{ + + +#if defined (ARM_MATH_DSP) + + /* Run the below code for Cortex-M4 and Cortex-M3 */ + + q31_t *pIn1; /* inputA pointer */ + q31_t *pIn2; /* inputB pointer */ + q31_t *pOut = pDst; /* output pointer */ + q31_t *px; /* Intermediate inputA pointer */ + q31_t *py; /* Intermediate inputB pointer */ + q31_t *pSrc1, *pSrc2; /* Intermediate pointers */ + q63_t sum; /* Accumulator */ + q63_t acc0, acc1, acc2; /* Accumulator */ + q31_t x0, x1, x2, c0; /* Temporary variables to hold state and coefficient values */ + uint32_t j, k, count, blkCnt, blockSize1, blockSize2, blockSize3; /* loop counter */ + + /* The algorithm implementation is based on the lengths of the inputs. */ + /* srcB is always made to slide across srcA. */ + /* So srcBLen is always considered as shorter or equal to srcALen */ + if (srcALen >= srcBLen) + { + /* Initialization of inputA pointer */ + pIn1 = pSrcA; + + /* Initialization of inputB pointer */ + pIn2 = pSrcB; + } + else + { + /* Initialization of inputA pointer */ + pIn1 = (q31_t *) pSrcB; + + /* Initialization of inputB pointer */ + pIn2 = (q31_t *) pSrcA; + + /* srcBLen is always considered as shorter or equal to srcALen */ + j = srcBLen; + srcBLen = srcALen; + srcALen = j; + } + + /* conv(x,y) at n = x[n] * y[0] + x[n-1] * y[1] + x[n-2] * y[2] + ...+ x[n-N+1] * y[N -1] */ + /* The function is internally + * divided into three stages according to the number of multiplications that has to be + * taken place between inputA samples and inputB samples. In the first stage of the + * algorithm, the multiplications increase by one for every iteration. + * In the second stage of the algorithm, srcBLen number of multiplications are done. + * In the third stage of the algorithm, the multiplications decrease by one + * for every iteration. */ + + /* The algorithm is implemented in three stages. + The loop counters of each stage is initiated here. */ + blockSize1 = srcBLen - 1U; + blockSize2 = srcALen - (srcBLen - 1U); + blockSize3 = blockSize1; + + /* -------------------------- + * Initializations of stage1 + * -------------------------*/ + + /* sum = x[0] * y[0] + * sum = x[0] * y[1] + x[1] * y[0] + * .... + * sum = x[0] * y[srcBlen - 1] + x[1] * y[srcBlen - 2] +...+ x[srcBLen - 1] * y[0] + */ + + /* In this stage the MAC operations are increased by 1 for every iteration. + The count variable holds the number of MAC operations performed */ + count = 1U; + + /* Working pointer of inputA */ + px = pIn1; + + /* Working pointer of inputB */ + py = pIn2; + + + /* ------------------------ + * Stage1 process + * ----------------------*/ + + /* The first stage starts here */ + while (blockSize1 > 0U) + { + /* Accumulator is made zero for every iteration */ + sum = 0; + + /* Apply loop unrolling and compute 4 MACs simultaneously. */ + k = count >> 2U; + + /* First part of the processing with loop unrolling. Compute 4 MACs at a time. + ** a second loop below computes MACs for the remaining 1 to 3 samples. */ + while (k > 0U) + { + /* x[0] * y[srcBLen - 1] */ + sum += (q63_t) * px++ * (*py--); + /* x[1] * y[srcBLen - 2] */ + sum += (q63_t) * px++ * (*py--); + /* x[2] * y[srcBLen - 3] */ + sum += (q63_t) * px++ * (*py--); + /* x[3] * y[srcBLen - 4] */ + sum += (q63_t) * px++ * (*py--); + + /* Decrement the loop counter */ + k--; + } + + /* If the count is not a multiple of 4, compute any remaining MACs here. + ** No loop unrolling is used. */ + k = count % 0x4U; + + while (k > 0U) + { + /* Perform the multiply-accumulate */ + sum += (q63_t) * px++ * (*py--); + + /* Decrement the loop counter */ + k--; + } + + /* Store the result in the accumulator in the destination buffer. */ + *pOut++ = (q31_t) (sum >> 31); + + /* Update the inputA and inputB pointers for next MAC calculation */ + py = pIn2 + count; + px = pIn1; + + /* Increment the MAC count */ + count++; + + /* Decrement the loop counter */ + blockSize1--; + } + + /* -------------------------- + * Initializations of stage2 + * ------------------------*/ + + /* sum = x[0] * y[srcBLen-1] + x[1] * y[srcBLen-2] +...+ x[srcBLen-1] * y[0] + * sum = x[1] * y[srcBLen-1] + x[2] * y[srcBLen-2] +...+ x[srcBLen] * y[0] + * .... + * sum = x[srcALen-srcBLen-2] * y[srcBLen-1] + x[srcALen] * y[srcBLen-2] +...+ x[srcALen-1] * y[0] + */ + + /* Working pointer of inputA */ + px = pIn1; + + /* Working pointer of inputB */ + pSrc2 = pIn2 + (srcBLen - 1U); + py = pSrc2; + + /* count is index by which the pointer pIn1 to be incremented */ + count = 0U; + + /* ------------------- + * Stage2 process + * ------------------*/ + + /* Stage2 depends on srcBLen as in this stage srcBLen number of MACS are performed. + * So, to loop unroll over blockSize2, + * srcBLen should be greater than or equal to 4 */ + if (srcBLen >= 4U) + { + /* Loop unroll by 3 */ + blkCnt = blockSize2 / 3; + + while (blkCnt > 0U) + { + /* Set all accumulators to zero */ + acc0 = 0; + acc1 = 0; + acc2 = 0; + + /* read x[0], x[1], x[2] samples */ + x0 = *(px++); + x1 = *(px++); + + /* Apply loop unrolling and compute 3 MACs simultaneously. */ + k = srcBLen / 3; + + /* First part of the processing with loop unrolling. Compute 3 MACs at a time. + ** a second loop below computes MACs for the remaining 1 to 2 samples. */ + do + { + /* Read y[srcBLen - 1] sample */ + c0 = *(py); + + /* Read x[3] sample */ + x2 = *(px); + + /* Perform the multiply-accumulates */ + /* acc0 += x[0] * y[srcBLen - 1] */ + acc0 += ((q63_t) x0 * c0); + /* acc1 += x[1] * y[srcBLen - 1] */ + acc1 += ((q63_t) x1 * c0); + /* acc2 += x[2] * y[srcBLen - 1] */ + acc2 += ((q63_t) x2 * c0); + + /* Read y[srcBLen - 2] sample */ + c0 = *(py - 1U); + + /* Read x[4] sample */ + x0 = *(px + 1U); + + /* Perform the multiply-accumulate */ + /* acc0 += x[1] * y[srcBLen - 2] */ + acc0 += ((q63_t) x1 * c0); + /* acc1 += x[2] * y[srcBLen - 2] */ + acc1 += ((q63_t) x2 * c0); + /* acc2 += x[3] * y[srcBLen - 2] */ + acc2 += ((q63_t) x0 * c0); + + /* Read y[srcBLen - 3] sample */ + c0 = *(py - 2U); + + /* Read x[5] sample */ + x1 = *(px + 2U); + + /* Perform the multiply-accumulates */ + /* acc0 += x[2] * y[srcBLen - 3] */ + acc0 += ((q63_t) x2 * c0); + /* acc1 += x[3] * y[srcBLen - 2] */ + acc1 += ((q63_t) x0 * c0); + /* acc2 += x[4] * y[srcBLen - 2] */ + acc2 += ((q63_t) x1 * c0); + + /* update scratch pointers */ + px += 3U; + py -= 3U; + + } while (--k); + + /* If the srcBLen is not a multiple of 3, compute any remaining MACs here. + ** No loop unrolling is used. */ + k = srcBLen - (3 * (srcBLen / 3)); + + while (k > 0U) + { + /* Read y[srcBLen - 5] sample */ + c0 = *(py--); + + /* Read x[7] sample */ + x2 = *(px++); + + /* Perform the multiply-accumulates */ + /* acc0 += x[4] * y[srcBLen - 5] */ + acc0 += ((q63_t) x0 * c0); + /* acc1 += x[5] * y[srcBLen - 5] */ + acc1 += ((q63_t) x1 * c0); + /* acc2 += x[6] * y[srcBLen - 5] */ + acc2 += ((q63_t) x2 * c0); + + /* Reuse the present samples for the next MAC */ + x0 = x1; + x1 = x2; + + /* Decrement the loop counter */ + k--; + } + + /* Store the results in the accumulators in the destination buffer. */ + *pOut++ = (q31_t) (acc0 >> 31); + *pOut++ = (q31_t) (acc1 >> 31); + *pOut++ = (q31_t) (acc2 >> 31); + + /* Increment the pointer pIn1 index, count by 3 */ + count += 3U; + + /* Update the inputA and inputB pointers for next MAC calculation */ + px = pIn1 + count; + py = pSrc2; + + /* Decrement the loop counter */ + blkCnt--; + } + + /* If the blockSize2 is not a multiple of 3, compute any remaining output samples here. + ** No loop unrolling is used. */ + blkCnt = blockSize2 - 3 * (blockSize2 / 3); + + while (blkCnt > 0U) + { + /* Accumulator is made zero for every iteration */ + sum = 0; + + /* Apply loop unrolling and compute 4 MACs simultaneously. */ + k = srcBLen >> 2U; + + /* First part of the processing with loop unrolling. Compute 4 MACs at a time. + ** a second loop below computes MACs for the remaining 1 to 3 samples. */ + while (k > 0U) + { + /* Perform the multiply-accumulates */ + sum += (q63_t) * px++ * (*py--); + sum += (q63_t) * px++ * (*py--); + sum += (q63_t) * px++ * (*py--); + sum += (q63_t) * px++ * (*py--); + + /* Decrement the loop counter */ + k--; + } + + /* If the srcBLen is not a multiple of 4, compute any remaining MACs here. + ** No loop unrolling is used. */ + k = srcBLen % 0x4U; + + while (k > 0U) + { + /* Perform the multiply-accumulate */ + sum += (q63_t) * px++ * (*py--); + + /* Decrement the loop counter */ + k--; + } + + /* Store the result in the accumulator in the destination buffer. */ + *pOut++ = (q31_t) (sum >> 31); + + /* Increment the MAC count */ + count++; + + /* Update the inputA and inputB pointers for next MAC calculation */ + px = pIn1 + count; + py = pSrc2; + + /* Decrement the loop counter */ + blkCnt--; + } + } + else + { + /* If the srcBLen is not a multiple of 4, + * the blockSize2 loop cannot be unrolled by 4 */ + blkCnt = blockSize2; + + while (blkCnt > 0U) + { + /* Accumulator is made zero for every iteration */ + sum = 0; + + /* srcBLen number of MACS should be performed */ + k = srcBLen; + + while (k > 0U) + { + /* Perform the multiply-accumulate */ + sum += (q63_t) * px++ * (*py--); + + /* Decrement the loop counter */ + k--; + } + + /* Store the result in the accumulator in the destination buffer. */ + *pOut++ = (q31_t) (sum >> 31); + + /* Increment the MAC count */ + count++; + + /* Update the inputA and inputB pointers for next MAC calculation */ + px = pIn1 + count; + py = pSrc2; + + /* Decrement the loop counter */ + blkCnt--; + } + } + + + /* -------------------------- + * Initializations of stage3 + * -------------------------*/ + + /* sum += x[srcALen-srcBLen+1] * y[srcBLen-1] + x[srcALen-srcBLen+2] * y[srcBLen-2] +...+ x[srcALen-1] * y[1] + * sum += x[srcALen-srcBLen+2] * y[srcBLen-1] + x[srcALen-srcBLen+3] * y[srcBLen-2] +...+ x[srcALen-1] * y[2] + * .... + * sum += x[srcALen-2] * y[srcBLen-1] + x[srcALen-1] * y[srcBLen-2] + * sum += x[srcALen-1] * y[srcBLen-1] + */ + + /* In this stage the MAC operations are decreased by 1 for every iteration. + The blockSize3 variable holds the number of MAC operations performed */ + + /* Working pointer of inputA */ + pSrc1 = (pIn1 + srcALen) - (srcBLen - 1U); + px = pSrc1; + + /* Working pointer of inputB */ + pSrc2 = pIn2 + (srcBLen - 1U); + py = pSrc2; + + /* ------------------- + * Stage3 process + * ------------------*/ + + while (blockSize3 > 0U) + { + /* Accumulator is made zero for every iteration */ + sum = 0; + + /* Apply loop unrolling and compute 4 MACs simultaneously. */ + k = blockSize3 >> 2U; + + /* First part of the processing with loop unrolling. Compute 4 MACs at a time. + ** a second loop below computes MACs for the remaining 1 to 3 samples. */ + while (k > 0U) + { + /* sum += x[srcALen - srcBLen + 1] * y[srcBLen - 1] */ + sum += (q63_t) * px++ * (*py--); + /* sum += x[srcALen - srcBLen + 2] * y[srcBLen - 2] */ + sum += (q63_t) * px++ * (*py--); + /* sum += x[srcALen - srcBLen + 3] * y[srcBLen - 3] */ + sum += (q63_t) * px++ * (*py--); + /* sum += x[srcALen - srcBLen + 4] * y[srcBLen - 4] */ + sum += (q63_t) * px++ * (*py--); + + /* Decrement the loop counter */ + k--; + } + + /* If the blockSize3 is not a multiple of 4, compute any remaining MACs here. + ** No loop unrolling is used. */ + k = blockSize3 % 0x4U; + + while (k > 0U) + { + /* Perform the multiply-accumulate */ + sum += (q63_t) * px++ * (*py--); + + /* Decrement the loop counter */ + k--; + } + + /* Store the result in the accumulator in the destination buffer. */ + *pOut++ = (q31_t) (sum >> 31); + + /* Update the inputA and inputB pointers for next MAC calculation */ + px = ++pSrc1; + py = pSrc2; + + /* Decrement the loop counter */ + blockSize3--; + } + +#else + + /* Run the below code for Cortex-M0 */ + + q31_t *pIn1 = pSrcA; /* input pointer */ + q31_t *pIn2 = pSrcB; /* coefficient pointer */ + q63_t sum; /* Accumulator */ + uint32_t i, j; /* loop counter */ + + /* Loop to calculate output of convolution for output length number of times */ + for (i = 0; i < (srcALen + srcBLen - 1); i++) + { + /* Initialize sum with zero to carry on MAC operations */ + sum = 0; + + /* Loop to perform MAC operations according to convolution equation */ + for (j = 0; j <= i; j++) + { + /* Check the array limitations */ + if (((i - j) < srcBLen) && (j < srcALen)) + { + /* z[i] += x[i-j] * y[j] */ + sum += ((q63_t) pIn1[j] * (pIn2[i - j])); + } + } + + /* Store the output in the destination buffer */ + pDst[i] = (q31_t) (sum >> 31U); + } + +#endif /* #if defined (ARM_MATH_DSP) */ + +} + +/** + * @} end of Conv group + */ diff --git a/fw/hid-dials/Drivers/CMSIS/DSP/Source/FilteringFunctions/arm_conv_q7.c b/fw/hid-dials/Drivers/CMSIS/DSP/Source/FilteringFunctions/arm_conv_q7.c new file mode 100644 index 0000000..6c4dd3c --- /dev/null +++ b/fw/hid-dials/Drivers/CMSIS/DSP/Source/FilteringFunctions/arm_conv_q7.c @@ -0,0 +1,678 @@ +/* ---------------------------------------------------------------------- + * Project: CMSIS DSP Library + * Title: arm_conv_q7.c + * Description: Convolution of Q7 sequences + * + * $Date: 27. January 2017 + * $Revision: V.1.5.1 + * + * Target Processor: Cortex-M cores + * -------------------------------------------------------------------- */ +/* + * Copyright (C) 2010-2017 ARM Limited or its affiliates. All rights reserved. + * + * SPDX-License-Identifier: Apache-2.0 + * + * Licensed under the Apache License, Version 2.0 (the License); you may + * not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an AS IS BASIS, WITHOUT + * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ + +#include "arm_math.h" + +/** + * @ingroup groupFilters + */ + +/** + * @addtogroup Conv + * @{ + */ + +/** + * @brief Convolution of Q7 sequences. + * @param[in] *pSrcA points to the first input sequence. + * @param[in] srcALen length of the first input sequence. + * @param[in] *pSrcB points to the second input sequence. + * @param[in] srcBLen length of the second input sequence. + * @param[out] *pDst points to the location where the output result is written. Length srcALen+srcBLen-1. + * @return none. + * + * @details + * Scaling and Overflow Behavior: + * + * \par + * The function is implemented using a 32-bit internal accumulator. + * Both the inputs are represented in 1.7 format and multiplications yield a 2.14 result. + * The 2.14 intermediate results are accumulated in a 32-bit accumulator in 18.14 format. + * This approach provides 17 guard bits and there is no risk of overflow as long as max(srcALen, srcBLen)<131072. + * The 18.14 result is then truncated to 18.7 format by discarding the low 7 bits and then saturated to 1.7 format. + * + * \par + * Refer the function arm_conv_opt_q7() for a faster implementation of this function. + * + */ + +void arm_conv_q7( + q7_t * pSrcA, + uint32_t srcALen, + q7_t * pSrcB, + uint32_t srcBLen, + q7_t * pDst) +{ + + +#if defined (ARM_MATH_DSP) + + /* Run the below code for Cortex-M4 and Cortex-M3 */ + + q7_t *pIn1; /* inputA pointer */ + q7_t *pIn2; /* inputB pointer */ + q7_t *pOut = pDst; /* output pointer */ + q7_t *px; /* Intermediate inputA pointer */ + q7_t *py; /* Intermediate inputB pointer */ + q7_t *pSrc1, *pSrc2; /* Intermediate pointers */ + q7_t x0, x1, x2, x3, c0, c1; /* Temporary variables to hold state and coefficient values */ + q31_t sum, acc0, acc1, acc2, acc3; /* Accumulator */ + q31_t input1, input2; /* Temporary input variables */ + q15_t in1, in2; /* Temporary input variables */ + uint32_t j, k, count, blkCnt, blockSize1, blockSize2, blockSize3; /* loop counter */ + + /* The algorithm implementation is based on the lengths of the inputs. */ + /* srcB is always made to slide across srcA. */ + /* So srcBLen is always considered as shorter or equal to srcALen */ + if (srcALen >= srcBLen) + { + /* Initialization of inputA pointer */ + pIn1 = pSrcA; + + /* Initialization of inputB pointer */ + pIn2 = pSrcB; + } + else + { + /* Initialization of inputA pointer */ + pIn1 = pSrcB; + + /* Initialization of inputB pointer */ + pIn2 = pSrcA; + + /* srcBLen is always considered as shorter or equal to srcALen */ + j = srcBLen; + srcBLen = srcALen; + srcALen = j; + } + + /* conv(x,y) at n = x[n] * y[0] + x[n-1] * y[1] + x[n-2] * y[2] + ...+ x[n-N+1] * y[N -1] */ + /* The function is internally + * divided into three stages according to the number of multiplications that has to be + * taken place between inputA samples and inputB samples. In the first stage of the + * algorithm, the multiplications increase by one for every iteration. + * In the second stage of the algorithm, srcBLen number of multiplications are done. + * In the third stage of the algorithm, the multiplications decrease by one + * for every iteration. */ + + /* The algorithm is implemented in three stages. + The loop counters of each stage is initiated here. */ + blockSize1 = srcBLen - 1U; + blockSize2 = (srcALen - srcBLen) + 1U; + blockSize3 = blockSize1; + + /* -------------------------- + * Initializations of stage1 + * -------------------------*/ + + /* sum = x[0] * y[0] + * sum = x[0] * y[1] + x[1] * y[0] + * .... + * sum = x[0] * y[srcBlen - 1] + x[1] * y[srcBlen - 2] +...+ x[srcBLen - 1] * y[0] + */ + + /* In this stage the MAC operations are increased by 1 for every iteration. + The count variable holds the number of MAC operations performed */ + count = 1U; + + /* Working pointer of inputA */ + px = pIn1; + + /* Working pointer of inputB */ + py = pIn2; + + + /* ------------------------ + * Stage1 process + * ----------------------*/ + + /* The first stage starts here */ + while (blockSize1 > 0U) + { + /* Accumulator is made zero for every iteration */ + sum = 0; + + /* Apply loop unrolling and compute 4 MACs simultaneously. */ + k = count >> 2U; + + /* First part of the processing with loop unrolling. Compute 4 MACs at a time. + ** a second loop below computes MACs for the remaining 1 to 3 samples. */ + while (k > 0U) + { + /* x[0] , x[1] */ + in1 = (q15_t) * px++; + in2 = (q15_t) * px++; + input1 = ((q31_t) in1 & 0x0000FFFF) | ((q31_t) in2 << 16U); + + /* y[srcBLen - 1] , y[srcBLen - 2] */ + in1 = (q15_t) * py--; + in2 = (q15_t) * py--; + input2 = ((q31_t) in1 & 0x0000FFFF) | ((q31_t) in2 << 16U); + + /* x[0] * y[srcBLen - 1] */ + /* x[1] * y[srcBLen - 2] */ + sum = __SMLAD(input1, input2, sum); + + /* x[2] , x[3] */ + in1 = (q15_t) * px++; + in2 = (q15_t) * px++; + input1 = ((q31_t) in1 & 0x0000FFFF) | ((q31_t) in2 << 16U); + + /* y[srcBLen - 3] , y[srcBLen - 4] */ + in1 = (q15_t) * py--; + in2 = (q15_t) * py--; + input2 = ((q31_t) in1 & 0x0000FFFF) | ((q31_t) in2 << 16U); + + /* x[2] * y[srcBLen - 3] */ + /* x[3] * y[srcBLen - 4] */ + sum = __SMLAD(input1, input2, sum); + + /* Decrement the loop counter */ + k--; + } + + /* If the count is not a multiple of 4, compute any remaining MACs here. + ** No loop unrolling is used. */ + k = count % 0x4U; + + while (k > 0U) + { + /* Perform the multiply-accumulates */ + sum += ((q15_t) * px++ * *py--); + + /* Decrement the loop counter */ + k--; + } + + /* Store the result in the accumulator in the destination buffer. */ + *pOut++ = (q7_t) (__SSAT(sum >> 7U, 8)); + + /* Update the inputA and inputB pointers for next MAC calculation */ + py = pIn2 + count; + px = pIn1; + + /* Increment the MAC count */ + count++; + + /* Decrement the loop counter */ + blockSize1--; + } + + /* -------------------------- + * Initializations of stage2 + * ------------------------*/ + + /* sum = x[0] * y[srcBLen-1] + x[1] * y[srcBLen-2] +...+ x[srcBLen-1] * y[0] + * sum = x[1] * y[srcBLen-1] + x[2] * y[srcBLen-2] +...+ x[srcBLen] * y[0] + * .... + * sum = x[srcALen-srcBLen-2] * y[srcBLen-1] + x[srcALen] * y[srcBLen-2] +...+ x[srcALen-1] * y[0] + */ + + /* Working pointer of inputA */ + px = pIn1; + + /* Working pointer of inputB */ + pSrc2 = pIn2 + (srcBLen - 1U); + py = pSrc2; + + /* count is index by which the pointer pIn1 to be incremented */ + count = 0U; + + /* ------------------- + * Stage2 process + * ------------------*/ + + /* Stage2 depends on srcBLen as in this stage srcBLen number of MACS are performed. + * So, to loop unroll over blockSize2, + * srcBLen should be greater than or equal to 4 */ + if (srcBLen >= 4U) + { + /* Loop unroll over blockSize2, by 4 */ + blkCnt = blockSize2 >> 2U; + + while (blkCnt > 0U) + { + /* Set all accumulators to zero */ + acc0 = 0; + acc1 = 0; + acc2 = 0; + acc3 = 0; + + /* read x[0], x[1], x[2] samples */ + x0 = *(px++); + x1 = *(px++); + x2 = *(px++); + + /* Apply loop unrolling and compute 4 MACs simultaneously. */ + k = srcBLen >> 2U; + + /* First part of the processing with loop unrolling. Compute 4 MACs at a time. + ** a second loop below computes MACs for the remaining 1 to 3 samples. */ + do + { + /* Read y[srcBLen - 1] sample */ + c0 = *(py--); + /* Read y[srcBLen - 2] sample */ + c1 = *(py--); + + /* Read x[3] sample */ + x3 = *(px++); + + /* x[0] and x[1] are packed */ + in1 = (q15_t) x0; + in2 = (q15_t) x1; + + input1 = ((q31_t) in1 & 0x0000FFFF) | ((q31_t) in2 << 16U); + + /* y[srcBLen - 1] and y[srcBLen - 2] are packed */ + in1 = (q15_t) c0; + in2 = (q15_t) c1; + + input2 = ((q31_t) in1 & 0x0000FFFF) | ((q31_t) in2 << 16U); + + /* acc0 += x[0] * y[srcBLen - 1] + x[1] * y[srcBLen - 2] */ + acc0 = __SMLAD(input1, input2, acc0); + + /* x[1] and x[2] are packed */ + in1 = (q15_t) x1; + in2 = (q15_t) x2; + + input1 = ((q31_t) in1 & 0x0000FFFF) | ((q31_t) in2 << 16U); + + /* acc1 += x[1] * y[srcBLen - 1] + x[2] * y[srcBLen - 2] */ + acc1 = __SMLAD(input1, input2, acc1); + + /* x[2] and x[3] are packed */ + in1 = (q15_t) x2; + in2 = (q15_t) x3; + + input1 = ((q31_t) in1 & 0x0000FFFF) | ((q31_t) in2 << 16U); + + /* acc2 += x[2] * y[srcBLen - 1] + x[3] * y[srcBLen - 2] */ + acc2 = __SMLAD(input1, input2, acc2); + + /* Read x[4] sample */ + x0 = *(px++); + + /* x[3] and x[4] are packed */ + in1 = (q15_t) x3; + in2 = (q15_t) x0; + + input1 = ((q31_t) in1 & 0x0000FFFF) | ((q31_t) in2 << 16U); + + /* acc3 += x[3] * y[srcBLen - 1] + x[4] * y[srcBLen - 2] */ + acc3 = __SMLAD(input1, input2, acc3); + + /* Read y[srcBLen - 3] sample */ + c0 = *(py--); + /* Read y[srcBLen - 4] sample */ + c1 = *(py--); + + /* Read x[5] sample */ + x1 = *(px++); + + /* x[2] and x[3] are packed */ + in1 = (q15_t) x2; + in2 = (q15_t) x3; + + input1 = ((q31_t) in1 & 0x0000FFFF) | ((q31_t) in2 << 16U); + + /* y[srcBLen - 3] and y[srcBLen - 4] are packed */ + in1 = (q15_t) c0; + in2 = (q15_t) c1; + + input2 = ((q31_t) in1 & 0x0000FFFF) | ((q31_t) in2 << 16U); + + /* acc0 += x[2] * y[srcBLen - 3] + x[3] * y[srcBLen - 4] */ + acc0 = __SMLAD(input1, input2, acc0); + + /* x[3] and x[4] are packed */ + in1 = (q15_t) x3; + in2 = (q15_t) x0; + + input1 = ((q31_t) in1 & 0x0000FFFF) | ((q31_t) in2 << 16U); + + /* acc1 += x[3] * y[srcBLen - 3] + x[4] * y[srcBLen - 4] */ + acc1 = __SMLAD(input1, input2, acc1); + + /* x[4] and x[5] are packed */ + in1 = (q15_t) x0; + in2 = (q15_t) x1; + + input1 = ((q31_t) in1 & 0x0000FFFF) | ((q31_t) in2 << 16U); + + /* acc2 += x[4] * y[srcBLen - 3] + x[5] * y[srcBLen - 4] */ + acc2 = __SMLAD(input1, input2, acc2); + + /* Read x[6] sample */ + x2 = *(px++); + + /* x[5] and x[6] are packed */ + in1 = (q15_t) x1; + in2 = (q15_t) x2; + + input1 = ((q31_t) in1 & 0x0000FFFF) | ((q31_t) in2 << 16U); + + /* acc3 += x[5] * y[srcBLen - 3] + x[6] * y[srcBLen - 4] */ + acc3 = __SMLAD(input1, input2, acc3); + + } while (--k); + + /* If the srcBLen is not a multiple of 4, compute any remaining MACs here. + ** No loop unrolling is used. */ + k = srcBLen % 0x4U; + + while (k > 0U) + { + /* Read y[srcBLen - 5] sample */ + c0 = *(py--); + + /* Read x[7] sample */ + x3 = *(px++); + + /* Perform the multiply-accumulates */ + /* acc0 += x[4] * y[srcBLen - 5] */ + acc0 += ((q15_t) x0 * c0); + /* acc1 += x[5] * y[srcBLen - 5] */ + acc1 += ((q15_t) x1 * c0); + /* acc2 += x[6] * y[srcBLen - 5] */ + acc2 += ((q15_t) x2 * c0); + /* acc3 += x[7] * y[srcBLen - 5] */ + acc3 += ((q15_t) x3 * c0); + + /* Reuse the present samples for the next MAC */ + x0 = x1; + x1 = x2; + x2 = x3; + + /* Decrement the loop counter */ + k--; + } + + + /* Store the result in the accumulator in the destination buffer. */ + *pOut++ = (q7_t) (__SSAT(acc0 >> 7U, 8)); + *pOut++ = (q7_t) (__SSAT(acc1 >> 7U, 8)); + *pOut++ = (q7_t) (__SSAT(acc2 >> 7U, 8)); + *pOut++ = (q7_t) (__SSAT(acc3 >> 7U, 8)); + + /* Increment the pointer pIn1 index, count by 4 */ + count += 4U; + + /* Update the inputA and inputB pointers for next MAC calculation */ + px = pIn1 + count; + py = pSrc2; + + /* Decrement the loop counter */ + blkCnt--; + } + + /* If the blockSize2 is not a multiple of 4, compute any remaining output samples here. + ** No loop unrolling is used. */ + blkCnt = blockSize2 % 0x4U; + + while (blkCnt > 0U) + { + /* Accumulator is made zero for every iteration */ + sum = 0; + + /* Apply loop unrolling and compute 4 MACs simultaneously. */ + k = srcBLen >> 2U; + + /* First part of the processing with loop unrolling. Compute 4 MACs at a time. + ** a second loop below computes MACs for the remaining 1 to 3 samples. */ + while (k > 0U) + { + + /* Reading two inputs of SrcA buffer and packing */ + in1 = (q15_t) * px++; + in2 = (q15_t) * px++; + input1 = ((q31_t) in1 & 0x0000FFFF) | ((q31_t) in2 << 16U); + + /* Reading two inputs of SrcB buffer and packing */ + in1 = (q15_t) * py--; + in2 = (q15_t) * py--; + input2 = ((q31_t) in1 & 0x0000FFFF) | ((q31_t) in2 << 16U); + + /* Perform the multiply-accumulates */ + sum = __SMLAD(input1, input2, sum); + + /* Reading two inputs of SrcA buffer and packing */ + in1 = (q15_t) * px++; + in2 = (q15_t) * px++; + input1 = ((q31_t) in1 & 0x0000FFFF) | ((q31_t) in2 << 16U); + + /* Reading two inputs of SrcB buffer and packing */ + in1 = (q15_t) * py--; + in2 = (q15_t) * py--; + input2 = ((q31_t) in1 & 0x0000FFFF) | ((q31_t) in2 << 16U); + + /* Perform the multiply-accumulates */ + sum = __SMLAD(input1, input2, sum); + + /* Decrement the loop counter */ + k--; + } + + /* If the srcBLen is not a multiple of 4, compute any remaining MACs here. + ** No loop unrolling is used. */ + k = srcBLen % 0x4U; + + while (k > 0U) + { + /* Perform the multiply-accumulates */ + sum += ((q15_t) * px++ * *py--); + + /* Decrement the loop counter */ + k--; + } + + /* Store the result in the accumulator in the destination buffer. */ + *pOut++ = (q7_t) (__SSAT(sum >> 7U, 8)); + + /* Increment the pointer pIn1 index, count by 1 */ + count++; + + /* Update the inputA and inputB pointers for next MAC calculation */ + px = pIn1 + count; + py = pSrc2; + + /* Decrement the loop counter */ + blkCnt--; + } + } + else + { + /* If the srcBLen is not a multiple of 4, + * the blockSize2 loop cannot be unrolled by 4 */ + blkCnt = blockSize2; + + while (blkCnt > 0U) + { + /* Accumulator is made zero for every iteration */ + sum = 0; + + /* srcBLen number of MACS should be performed */ + k = srcBLen; + + while (k > 0U) + { + /* Perform the multiply-accumulate */ + sum += ((q15_t) * px++ * *py--); + + /* Decrement the loop counter */ + k--; + } + + /* Store the result in the accumulator in the destination buffer. */ + *pOut++ = (q7_t) (__SSAT(sum >> 7U, 8)); + + /* Increment the MAC count */ + count++; + + /* Update the inputA and inputB pointers for next MAC calculation */ + px = pIn1 + count; + py = pSrc2; + + /* Decrement the loop counter */ + blkCnt--; + } + } + + + /* -------------------------- + * Initializations of stage3 + * -------------------------*/ + + /* sum += x[srcALen-srcBLen+1] * y[srcBLen-1] + x[srcALen-srcBLen+2] * y[srcBLen-2] +...+ x[srcALen-1] * y[1] + * sum += x[srcALen-srcBLen+2] * y[srcBLen-1] + x[srcALen-srcBLen+3] * y[srcBLen-2] +...+ x[srcALen-1] * y[2] + * .... + * sum += x[srcALen-2] * y[srcBLen-1] + x[srcALen-1] * y[srcBLen-2] + * sum += x[srcALen-1] * y[srcBLen-1] + */ + + /* In this stage the MAC operations are decreased by 1 for every iteration. + The blockSize3 variable holds the number of MAC operations performed */ + + /* Working pointer of inputA */ + pSrc1 = pIn1 + (srcALen - (srcBLen - 1U)); + px = pSrc1; + + /* Working pointer of inputB */ + pSrc2 = pIn2 + (srcBLen - 1U); + py = pSrc2; + + /* ------------------- + * Stage3 process + * ------------------*/ + + while (blockSize3 > 0U) + { + /* Accumulator is made zero for every iteration */ + sum = 0; + + /* Apply loop unrolling and compute 4 MACs simultaneously. */ + k = blockSize3 >> 2U; + + /* First part of the processing with loop unrolling. Compute 4 MACs at a time. + ** a second loop below computes MACs for the remaining 1 to 3 samples. */ + while (k > 0U) + { + /* Reading two inputs, x[srcALen - srcBLen + 1] and x[srcALen - srcBLen + 2] of SrcA buffer and packing */ + in1 = (q15_t) * px++; + in2 = (q15_t) * px++; + input1 = ((q31_t) in1 & 0x0000FFFF) | ((q31_t) in2 << 16U); + + /* Reading two inputs, y[srcBLen - 1] and y[srcBLen - 2] of SrcB buffer and packing */ + in1 = (q15_t) * py--; + in2 = (q15_t) * py--; + input2 = ((q31_t) in1 & 0x0000FFFF) | ((q31_t) in2 << 16U); + + /* sum += x[srcALen - srcBLen + 1] * y[srcBLen - 1] */ + /* sum += x[srcALen - srcBLen + 2] * y[srcBLen - 2] */ + sum = __SMLAD(input1, input2, sum); + + /* Reading two inputs, x[srcALen - srcBLen + 3] and x[srcALen - srcBLen + 4] of SrcA buffer and packing */ + in1 = (q15_t) * px++; + in2 = (q15_t) * px++; + input1 = ((q31_t) in1 & 0x0000FFFF) | ((q31_t) in2 << 16U); + + /* Reading two inputs, y[srcBLen - 3] and y[srcBLen - 4] of SrcB buffer and packing */ + in1 = (q15_t) * py--; + in2 = (q15_t) * py--; + input2 = ((q31_t) in1 & 0x0000FFFF) | ((q31_t) in2 << 16U); + + /* sum += x[srcALen - srcBLen + 3] * y[srcBLen - 3] */ + /* sum += x[srcALen - srcBLen + 4] * y[srcBLen - 4] */ + sum = __SMLAD(input1, input2, sum); + + /* Decrement the loop counter */ + k--; + } + + /* If the blockSize3 is not a multiple of 4, compute any remaining MACs here. + ** No loop unrolling is used. */ + k = blockSize3 % 0x4U; + + while (k > 0U) + { + /* Perform the multiply-accumulates */ + sum += ((q15_t) * px++ * *py--); + + /* Decrement the loop counter */ + k--; + } + + /* Store the result in the accumulator in the destination buffer. */ + *pOut++ = (q7_t) (__SSAT(sum >> 7U, 8)); + + /* Update the inputA and inputB pointers for next MAC calculation */ + px = ++pSrc1; + py = pSrc2; + + /* Decrement the loop counter */ + blockSize3--; + } + +#else + + /* Run the below code for Cortex-M0 */ + + q7_t *pIn1 = pSrcA; /* input pointer */ + q7_t *pIn2 = pSrcB; /* coefficient pointer */ + q31_t sum; /* Accumulator */ + uint32_t i, j; /* loop counter */ + + /* Loop to calculate output of convolution for output length number of times */ + for (i = 0; i < (srcALen + srcBLen - 1); i++) + { + /* Initialize sum with zero to carry on MAC operations */ + sum = 0; + + /* Loop to perform MAC operations according to convolution equation */ + for (j = 0; j <= i; j++) + { + /* Check the array limitations */ + if (((i - j) < srcBLen) && (j < srcALen)) + { + /* z[i] += x[i-j] * y[j] */ + sum += (q15_t) pIn1[j] * (pIn2[i - j]); + } + } + + /* Store the output in the destination buffer */ + pDst[i] = (q7_t) __SSAT((sum >> 7U), 8U); + } + +#endif /* #if defined (ARM_MATH_DSP) */ + +} + +/** + * @} end of Conv group + */ diff --git a/fw/hid-dials/Drivers/CMSIS/DSP/Source/FilteringFunctions/arm_correlate_f32.c b/fw/hid-dials/Drivers/CMSIS/DSP/Source/FilteringFunctions/arm_correlate_f32.c new file mode 100644 index 0000000..9451887 --- /dev/null +++ b/fw/hid-dials/Drivers/CMSIS/DSP/Source/FilteringFunctions/arm_correlate_f32.c @@ -0,0 +1,727 @@ +/* ---------------------------------------------------------------------- + * Project: CMSIS DSP Library + * Title: arm_correlate_f32.c + * Description: Correlation of floating-point sequences + * + * $Date: 27. January 2017 + * $Revision: V.1.5.1 + * + * Target Processor: Cortex-M cores + * -------------------------------------------------------------------- */ +/* + * Copyright (C) 2010-2017 ARM Limited or its affiliates. All rights reserved. + * + * SPDX-License-Identifier: Apache-2.0 + * + * Licensed under the Apache License, Version 2.0 (the License); you may + * not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an AS IS BASIS, WITHOUT + * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ + +#include "arm_math.h" + +/** + * @ingroup groupFilters + */ + +/** + * @defgroup Corr Correlation + * + * Correlation is a mathematical operation that is similar to convolution. + * As with convolution, correlation uses two signals to produce a third signal. + * The underlying algorithms in correlation and convolution are identical except that one of the inputs is flipped in convolution. + * Correlation is commonly used to measure the similarity between two signals. + * It has applications in pattern recognition, cryptanalysis, and searching. + * The CMSIS library provides correlation functions for Q7, Q15, Q31 and floating-point data types. + * Fast versions of the Q15 and Q31 functions are also provided. + * + * \par Algorithm + * Let a[n] and b[n] be sequences of length srcALen and srcBLen samples respectively. + * The convolution of the two signals is denoted by + *
+ *                   c[n] = a[n] * b[n]
+ * 
+ * In correlation, one of the signals is flipped in time + *
+ *                   c[n] = a[n] * b[-n]
+ * 
+ * + * \par + * and this is mathematically defined as + * \image html CorrelateEquation.gif + * \par + * The pSrcA points to the first input vector of length srcALen and pSrcB points to the second input vector of length srcBLen. + * The result c[n] is of length 2 * max(srcALen, srcBLen) - 1 and is defined over the interval n=0, 1, 2, ..., (2 * max(srcALen, srcBLen) - 2). + * The output result is written to pDst and the calling function must allocate 2 * max(srcALen, srcBLen) - 1 words for the result. + * + * Note + * \par + * The pDst should be initialized to all zeros before being used. + * + * Fixed-Point Behavior + * \par + * Correlation requires summing up a large number of intermediate products. + * As such, the Q7, Q15, and Q31 functions run a risk of overflow and saturation. + * Refer to the function specific documentation below for further details of the particular algorithm used. + * + * + * Fast Versions + * + * \par + * Fast versions are supported for Q31 and Q15. Cycles for Fast versions are less compared to Q31 and Q15 of correlate and the design requires + * the input signals should be scaled down to avoid intermediate overflows. + * + * + * Opt Versions + * + * \par + * Opt versions are supported for Q15 and Q7. Design uses internal scratch buffer for getting good optimisation. + * These versions are optimised in cycles and consumes more memory(Scratch memory) compared to Q15 and Q7 versions of correlate + */ + +/** + * @addtogroup Corr + * @{ + */ +/** + * @brief Correlation of floating-point sequences. + * @param[in] *pSrcA points to the first input sequence. + * @param[in] srcALen length of the first input sequence. + * @param[in] *pSrcB points to the second input sequence. + * @param[in] srcBLen length of the second input sequence. + * @param[out] *pDst points to the location where the output result is written. Length 2 * max(srcALen, srcBLen) - 1. + * @return none. + */ + +void arm_correlate_f32( + float32_t * pSrcA, + uint32_t srcALen, + float32_t * pSrcB, + uint32_t srcBLen, + float32_t * pDst) +{ + + +#if defined (ARM_MATH_DSP) + + /* Run the below code for Cortex-M4 and Cortex-M3 */ + + float32_t *pIn1; /* inputA pointer */ + float32_t *pIn2; /* inputB pointer */ + float32_t *pOut = pDst; /* output pointer */ + float32_t *px; /* Intermediate inputA pointer */ + float32_t *py; /* Intermediate inputB pointer */ + float32_t *pSrc1; /* Intermediate pointers */ + float32_t sum, acc0, acc1, acc2, acc3; /* Accumulators */ + float32_t x0, x1, x2, x3, c0; /* temporary variables for holding input and coefficient values */ + uint32_t j, k = 0U, count, blkCnt, outBlockSize, blockSize1, blockSize2, blockSize3; /* loop counters */ + int32_t inc = 1; /* Destination address modifier */ + + + /* The algorithm implementation is based on the lengths of the inputs. */ + /* srcB is always made to slide across srcA. */ + /* So srcBLen is always considered as shorter or equal to srcALen */ + /* But CORR(x, y) is reverse of CORR(y, x) */ + /* So, when srcBLen > srcALen, output pointer is made to point to the end of the output buffer */ + /* and the destination pointer modifier, inc is set to -1 */ + /* If srcALen > srcBLen, zero pad has to be done to srcB to make the two inputs of same length */ + /* But to improve the performance, + * we assume zeroes in the output instead of zero padding either of the the inputs*/ + /* If srcALen > srcBLen, + * (srcALen - srcBLen) zeroes has to included in the starting of the output buffer */ + /* If srcALen < srcBLen, + * (srcALen - srcBLen) zeroes has to included in the ending of the output buffer */ + if (srcALen >= srcBLen) + { + /* Initialization of inputA pointer */ + pIn1 = pSrcA; + + /* Initialization of inputB pointer */ + pIn2 = pSrcB; + + /* Number of output samples is calculated */ + outBlockSize = (2U * srcALen) - 1U; + + /* When srcALen > srcBLen, zero padding has to be done to srcB + * to make their lengths equal. + * Instead, (outBlockSize - (srcALen + srcBLen - 1)) + * number of output samples are made zero */ + j = outBlockSize - (srcALen + (srcBLen - 1U)); + + /* Updating the pointer position to non zero value */ + pOut += j; + + //while (j > 0U) + //{ + // /* Zero is stored in the destination buffer */ + // *pOut++ = 0.0f; + + // /* Decrement the loop counter */ + // j--; + //} + + } + else + { + /* Initialization of inputA pointer */ + pIn1 = pSrcB; + + /* Initialization of inputB pointer */ + pIn2 = pSrcA; + + /* srcBLen is always considered as shorter or equal to srcALen */ + j = srcBLen; + srcBLen = srcALen; + srcALen = j; + + /* CORR(x, y) = Reverse order(CORR(y, x)) */ + /* Hence set the destination pointer to point to the last output sample */ + pOut = pDst + ((srcALen + srcBLen) - 2U); + + /* Destination address modifier is set to -1 */ + inc = -1; + + } + + /* The function is internally + * divided into three parts according to the number of multiplications that has to be + * taken place between inputA samples and inputB samples. In the first part of the + * algorithm, the multiplications increase by one for every iteration. + * In the second part of the algorithm, srcBLen number of multiplications are done. + * In the third part of the algorithm, the multiplications decrease by one + * for every iteration.*/ + /* The algorithm is implemented in three stages. + * The loop counters of each stage is initiated here. */ + blockSize1 = srcBLen - 1U; + blockSize2 = srcALen - (srcBLen - 1U); + blockSize3 = blockSize1; + + /* -------------------------- + * Initializations of stage1 + * -------------------------*/ + + /* sum = x[0] * y[srcBlen - 1] + * sum = x[0] * y[srcBlen-2] + x[1] * y[srcBlen - 1] + * .... + * sum = x[0] * y[0] + x[1] * y[1] +...+ x[srcBLen - 1] * y[srcBLen - 1] + */ + + /* In this stage the MAC operations are increased by 1 for every iteration. + The count variable holds the number of MAC operations performed */ + count = 1U; + + /* Working pointer of inputA */ + px = pIn1; + + /* Working pointer of inputB */ + pSrc1 = pIn2 + (srcBLen - 1U); + py = pSrc1; + + /* ------------------------ + * Stage1 process + * ----------------------*/ + + /* The first stage starts here */ + while (blockSize1 > 0U) + { + /* Accumulator is made zero for every iteration */ + sum = 0.0f; + + /* Apply loop unrolling and compute 4 MACs simultaneously. */ + k = count >> 2U; + + /* First part of the processing with loop unrolling. Compute 4 MACs at a time. + ** a second loop below computes MACs for the remaining 1 to 3 samples. */ + while (k > 0U) + { + /* x[0] * y[srcBLen - 4] */ + sum += *px++ * *py++; + /* x[1] * y[srcBLen - 3] */ + sum += *px++ * *py++; + /* x[2] * y[srcBLen - 2] */ + sum += *px++ * *py++; + /* x[3] * y[srcBLen - 1] */ + sum += *px++ * *py++; + + /* Decrement the loop counter */ + k--; + } + + /* If the count is not a multiple of 4, compute any remaining MACs here. + ** No loop unrolling is used. */ + k = count % 0x4U; + + while (k > 0U) + { + /* Perform the multiply-accumulate */ + /* x[0] * y[srcBLen - 1] */ + sum += *px++ * *py++; + + /* Decrement the loop counter */ + k--; + } + + /* Store the result in the accumulator in the destination buffer. */ + *pOut = sum; + /* Destination pointer is updated according to the address modifier, inc */ + pOut += inc; + + /* Update the inputA and inputB pointers for next MAC calculation */ + py = pSrc1 - count; + px = pIn1; + + /* Increment the MAC count */ + count++; + + /* Decrement the loop counter */ + blockSize1--; + } + + /* -------------------------- + * Initializations of stage2 + * ------------------------*/ + + /* sum = x[0] * y[0] + x[1] * y[1] +...+ x[srcBLen-1] * y[srcBLen-1] + * sum = x[1] * y[0] + x[2] * y[1] +...+ x[srcBLen] * y[srcBLen-1] + * .... + * sum = x[srcALen-srcBLen-2] * y[0] + x[srcALen-srcBLen-1] * y[1] +...+ x[srcALen-1] * y[srcBLen-1] + */ + + /* Working pointer of inputA */ + px = pIn1; + + /* Working pointer of inputB */ + py = pIn2; + + /* count is index by which the pointer pIn1 to be incremented */ + count = 0U; + + /* ------------------- + * Stage2 process + * ------------------*/ + + /* Stage2 depends on srcBLen as in this stage srcBLen number of MACS are performed. + * So, to loop unroll over blockSize2, + * srcBLen should be greater than or equal to 4, to loop unroll the srcBLen loop */ + if (srcBLen >= 4U) + { + /* Loop unroll over blockSize2, by 4 */ + blkCnt = blockSize2 >> 2U; + + while (blkCnt > 0U) + { + /* Set all accumulators to zero */ + acc0 = 0.0f; + acc1 = 0.0f; + acc2 = 0.0f; + acc3 = 0.0f; + + /* read x[0], x[1], x[2] samples */ + x0 = *(px++); + x1 = *(px++); + x2 = *(px++); + + /* Apply loop unrolling and compute 4 MACs simultaneously. */ + k = srcBLen >> 2U; + + /* First part of the processing with loop unrolling. Compute 4 MACs at a time. + ** a second loop below computes MACs for the remaining 1 to 3 samples. */ + do + { + /* Read y[0] sample */ + c0 = *(py++); + + /* Read x[3] sample */ + x3 = *(px++); + + /* Perform the multiply-accumulate */ + /* acc0 += x[0] * y[0] */ + acc0 += x0 * c0; + /* acc1 += x[1] * y[0] */ + acc1 += x1 * c0; + /* acc2 += x[2] * y[0] */ + acc2 += x2 * c0; + /* acc3 += x[3] * y[0] */ + acc3 += x3 * c0; + + /* Read y[1] sample */ + c0 = *(py++); + + /* Read x[4] sample */ + x0 = *(px++); + + /* Perform the multiply-accumulate */ + /* acc0 += x[1] * y[1] */ + acc0 += x1 * c0; + /* acc1 += x[2] * y[1] */ + acc1 += x2 * c0; + /* acc2 += x[3] * y[1] */ + acc2 += x3 * c0; + /* acc3 += x[4] * y[1] */ + acc3 += x0 * c0; + + /* Read y[2] sample */ + c0 = *(py++); + + /* Read x[5] sample */ + x1 = *(px++); + + /* Perform the multiply-accumulates */ + /* acc0 += x[2] * y[2] */ + acc0 += x2 * c0; + /* acc1 += x[3] * y[2] */ + acc1 += x3 * c0; + /* acc2 += x[4] * y[2] */ + acc2 += x0 * c0; + /* acc3 += x[5] * y[2] */ + acc3 += x1 * c0; + + /* Read y[3] sample */ + c0 = *(py++); + + /* Read x[6] sample */ + x2 = *(px++); + + /* Perform the multiply-accumulates */ + /* acc0 += x[3] * y[3] */ + acc0 += x3 * c0; + /* acc1 += x[4] * y[3] */ + acc1 += x0 * c0; + /* acc2 += x[5] * y[3] */ + acc2 += x1 * c0; + /* acc3 += x[6] * y[3] */ + acc3 += x2 * c0; + + + } while (--k); + + /* If the srcBLen is not a multiple of 4, compute any remaining MACs here. + ** No loop unrolling is used. */ + k = srcBLen % 0x4U; + + while (k > 0U) + { + /* Read y[4] sample */ + c0 = *(py++); + + /* Read x[7] sample */ + x3 = *(px++); + + /* Perform the multiply-accumulates */ + /* acc0 += x[4] * y[4] */ + acc0 += x0 * c0; + /* acc1 += x[5] * y[4] */ + acc1 += x1 * c0; + /* acc2 += x[6] * y[4] */ + acc2 += x2 * c0; + /* acc3 += x[7] * y[4] */ + acc3 += x3 * c0; + + /* Reuse the present samples for the next MAC */ + x0 = x1; + x1 = x2; + x2 = x3; + + /* Decrement the loop counter */ + k--; + } + + /* Store the result in the accumulator in the destination buffer. */ + *pOut = acc0; + /* Destination pointer is updated according to the address modifier, inc */ + pOut += inc; + + *pOut = acc1; + pOut += inc; + + *pOut = acc2; + pOut += inc; + + *pOut = acc3; + pOut += inc; + + /* Increment the pointer pIn1 index, count by 4 */ + count += 4U; + + /* Update the inputA and inputB pointers for next MAC calculation */ + px = pIn1 + count; + py = pIn2; + + /* Decrement the loop counter */ + blkCnt--; + } + + /* If the blockSize2 is not a multiple of 4, compute any remaining output samples here. + ** No loop unrolling is used. */ + blkCnt = blockSize2 % 0x4U; + + while (blkCnt > 0U) + { + /* Accumulator is made zero for every iteration */ + sum = 0.0f; + + /* Apply loop unrolling and compute 4 MACs simultaneously. */ + k = srcBLen >> 2U; + + /* First part of the processing with loop unrolling. Compute 4 MACs at a time. + ** a second loop below computes MACs for the remaining 1 to 3 samples. */ + while (k > 0U) + { + /* Perform the multiply-accumulates */ + sum += *px++ * *py++; + sum += *px++ * *py++; + sum += *px++ * *py++; + sum += *px++ * *py++; + + /* Decrement the loop counter */ + k--; + } + + /* If the srcBLen is not a multiple of 4, compute any remaining MACs here. + ** No loop unrolling is used. */ + k = srcBLen % 0x4U; + + while (k > 0U) + { + /* Perform the multiply-accumulate */ + sum += *px++ * *py++; + + /* Decrement the loop counter */ + k--; + } + + /* Store the result in the accumulator in the destination buffer. */ + *pOut = sum; + /* Destination pointer is updated according to the address modifier, inc */ + pOut += inc; + + /* Increment the pointer pIn1 index, count by 1 */ + count++; + + /* Update the inputA and inputB pointers for next MAC calculation */ + px = pIn1 + count; + py = pIn2; + + /* Decrement the loop counter */ + blkCnt--; + } + } + else + { + /* If the srcBLen is not a multiple of 4, + * the blockSize2 loop cannot be unrolled by 4 */ + blkCnt = blockSize2; + + while (blkCnt > 0U) + { + /* Accumulator is made zero for every iteration */ + sum = 0.0f; + + /* Loop over srcBLen */ + k = srcBLen; + + while (k > 0U) + { + /* Perform the multiply-accumulate */ + sum += *px++ * *py++; + + /* Decrement the loop counter */ + k--; + } + + /* Store the result in the accumulator in the destination buffer. */ + *pOut = sum; + /* Destination pointer is updated according to the address modifier, inc */ + pOut += inc; + + /* Increment the pointer pIn1 index, count by 1 */ + count++; + + /* Update the inputA and inputB pointers for next MAC calculation */ + px = pIn1 + count; + py = pIn2; + + /* Decrement the loop counter */ + blkCnt--; + } + } + + /* -------------------------- + * Initializations of stage3 + * -------------------------*/ + + /* sum += x[srcALen-srcBLen+1] * y[0] + x[srcALen-srcBLen+2] * y[1] +...+ x[srcALen-1] * y[srcBLen-1] + * sum += x[srcALen-srcBLen+2] * y[0] + x[srcALen-srcBLen+3] * y[1] +...+ x[srcALen-1] * y[srcBLen-1] + * .... + * sum += x[srcALen-2] * y[0] + x[srcALen-1] * y[1] + * sum += x[srcALen-1] * y[0] + */ + + /* In this stage the MAC operations are decreased by 1 for every iteration. + The count variable holds the number of MAC operations performed */ + count = srcBLen - 1U; + + /* Working pointer of inputA */ + pSrc1 = pIn1 + (srcALen - (srcBLen - 1U)); + px = pSrc1; + + /* Working pointer of inputB */ + py = pIn2; + + /* ------------------- + * Stage3 process + * ------------------*/ + + while (blockSize3 > 0U) + { + /* Accumulator is made zero for every iteration */ + sum = 0.0f; + + /* Apply loop unrolling and compute 4 MACs simultaneously. */ + k = count >> 2U; + + /* First part of the processing with loop unrolling. Compute 4 MACs at a time. + ** a second loop below computes MACs for the remaining 1 to 3 samples. */ + while (k > 0U) + { + /* Perform the multiply-accumulates */ + /* sum += x[srcALen - srcBLen + 4] * y[3] */ + sum += *px++ * *py++; + /* sum += x[srcALen - srcBLen + 3] * y[2] */ + sum += *px++ * *py++; + /* sum += x[srcALen - srcBLen + 2] * y[1] */ + sum += *px++ * *py++; + /* sum += x[srcALen - srcBLen + 1] * y[0] */ + sum += *px++ * *py++; + + /* Decrement the loop counter */ + k--; + } + + /* If the count is not a multiple of 4, compute any remaining MACs here. + ** No loop unrolling is used. */ + k = count % 0x4U; + + while (k > 0U) + { + /* Perform the multiply-accumulates */ + sum += *px++ * *py++; + + /* Decrement the loop counter */ + k--; + } + + /* Store the result in the accumulator in the destination buffer. */ + *pOut = sum; + /* Destination pointer is updated according to the address modifier, inc */ + pOut += inc; + + /* Update the inputA and inputB pointers for next MAC calculation */ + px = ++pSrc1; + py = pIn2; + + /* Decrement the MAC count */ + count--; + + /* Decrement the loop counter */ + blockSize3--; + } + +#else + + /* Run the below code for Cortex-M0 */ + + float32_t *pIn1 = pSrcA; /* inputA pointer */ + float32_t *pIn2 = pSrcB + (srcBLen - 1U); /* inputB pointer */ + float32_t sum; /* Accumulator */ + uint32_t i = 0U, j; /* loop counters */ + uint32_t inv = 0U; /* Reverse order flag */ + uint32_t tot = 0U; /* Length */ + + /* The algorithm implementation is based on the lengths of the inputs. */ + /* srcB is always made to slide across srcA. */ + /* So srcBLen is always considered as shorter or equal to srcALen */ + /* But CORR(x, y) is reverse of CORR(y, x) */ + /* So, when srcBLen > srcALen, output pointer is made to point to the end of the output buffer */ + /* and a varaible, inv is set to 1 */ + /* If lengths are not equal then zero pad has to be done to make the two + * inputs of same length. But to improve the performance, we assume zeroes + * in the output instead of zero padding either of the the inputs*/ + /* If srcALen > srcBLen, (srcALen - srcBLen) zeroes has to included in the + * starting of the output buffer */ + /* If srcALen < srcBLen, (srcALen - srcBLen) zeroes has to included in the + * ending of the output buffer */ + /* Once the zero padding is done the remaining of the output is calcualted + * using convolution but with the shorter signal time shifted. */ + + /* Calculate the length of the remaining sequence */ + tot = ((srcALen + srcBLen) - 2U); + + if (srcALen > srcBLen) + { + /* Calculating the number of zeros to be padded to the output */ + j = srcALen - srcBLen; + + /* Initialise the pointer after zero padding */ + pDst += j; + } + + else if (srcALen < srcBLen) + { + /* Initialization to inputB pointer */ + pIn1 = pSrcB; + + /* Initialization to the end of inputA pointer */ + pIn2 = pSrcA + (srcALen - 1U); + + /* Initialisation of the pointer after zero padding */ + pDst = pDst + tot; + + /* Swapping the lengths */ + j = srcALen; + srcALen = srcBLen; + srcBLen = j; + + /* Setting the reverse flag */ + inv = 1; + + } + + /* Loop to calculate convolution for output length number of times */ + for (i = 0U; i <= tot; i++) + { + /* Initialize sum with zero to carry on MAC operations */ + sum = 0.0f; + + /* Loop to perform MAC operations according to convolution equation */ + for (j = 0U; j <= i; j++) + { + /* Check the array limitations */ + if ((((i - j) < srcBLen) && (j < srcALen))) + { + /* z[i] += x[i-j] * y[j] */ + sum += pIn1[j] * pIn2[-((int32_t) i - j)]; + } + } + /* Store the output in the destination buffer */ + if (inv == 1) + *pDst-- = sum; + else + *pDst++ = sum; + } + +#endif /* #if defined (ARM_MATH_DSP) */ + +} + +/** + * @} end of Corr group + */ diff --git a/fw/hid-dials/Drivers/CMSIS/DSP/Source/FilteringFunctions/arm_correlate_fast_opt_q15.c b/fw/hid-dials/Drivers/CMSIS/DSP/Source/FilteringFunctions/arm_correlate_fast_opt_q15.c new file mode 100644 index 0000000..baebc49 --- /dev/null +++ b/fw/hid-dials/Drivers/CMSIS/DSP/Source/FilteringFunctions/arm_correlate_fast_opt_q15.c @@ -0,0 +1,500 @@ +/* ---------------------------------------------------------------------- + * Project: CMSIS DSP Library + * Title: arm_correlate_fast_opt_q15.c + * Description: Fast Q15 Correlation + * + * $Date: 27. January 2017 + * $Revision: V.1.5.1 + * + * Target Processor: Cortex-M cores + * -------------------------------------------------------------------- */ +/* + * Copyright (C) 2010-2017 ARM Limited or its affiliates. All rights reserved. + * + * SPDX-License-Identifier: Apache-2.0 + * + * Licensed under the Apache License, Version 2.0 (the License); you may + * not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an AS IS BASIS, WITHOUT + * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ + +#include "arm_math.h" + +/** + * @ingroup groupFilters + */ + +/** + * @addtogroup Corr + * @{ + */ + +/** + * @brief Correlation of Q15 sequences (fast version) for Cortex-M3 and Cortex-M4. + * @param[in] *pSrcA points to the first input sequence. + * @param[in] srcALen length of the first input sequence. + * @param[in] *pSrcB points to the second input sequence. + * @param[in] srcBLen length of the second input sequence. + * @param[out] *pDst points to the location where the output result is written. Length 2 * max(srcALen, srcBLen) - 1. + * @param[in] *pScratch points to scratch buffer of size max(srcALen, srcBLen) + 2*min(srcALen, srcBLen) - 2. + * @return none. + * + * + * \par Restrictions + * If the silicon does not support unaligned memory access enable the macro UNALIGNED_SUPPORT_DISABLE + * In this case input, output, scratch buffers should be aligned by 32-bit + * + * + * Scaling and Overflow Behavior: + * + * \par + * This fast version uses a 32-bit accumulator with 2.30 format. + * The accumulator maintains full precision of the intermediate multiplication results but provides only a single guard bit. + * There is no saturation on intermediate additions. + * Thus, if the accumulator overflows it wraps around and distorts the result. + * The input signals should be scaled down to avoid intermediate overflows. + * Scale down one of the inputs by 1/min(srcALen, srcBLen) to avoid overflow since a + * maximum of min(srcALen, srcBLen) number of additions is carried internally. + * The 2.30 accumulator is right shifted by 15 bits and then saturated to 1.15 format to yield the final result. + * + * \par + * See arm_correlate_q15() for a slower implementation of this function which uses a 64-bit accumulator to avoid wrap around distortion. + */ + +void arm_correlate_fast_opt_q15( + q15_t * pSrcA, + uint32_t srcALen, + q15_t * pSrcB, + uint32_t srcBLen, + q15_t * pDst, + q15_t * pScratch) +{ + q15_t *pIn1; /* inputA pointer */ + q15_t *pIn2; /* inputB pointer */ + q31_t acc0, acc1, acc2, acc3; /* Accumulators */ + q15_t *py; /* Intermediate inputB pointer */ + q31_t x1, x2, x3; /* temporary variables for holding input and coefficient values */ + uint32_t j, blkCnt, outBlockSize; /* loop counter */ + int32_t inc = 1; /* Destination address modifier */ + uint32_t tapCnt; + q31_t y1, y2; + q15_t *pScr; /* Intermediate pointers */ + q15_t *pOut = pDst; /* output pointer */ +#ifdef UNALIGNED_SUPPORT_DISABLE + + q15_t a, b; + +#endif /* #ifndef UNALIGNED_SUPPORT_DISABLE */ + + /* The algorithm implementation is based on the lengths of the inputs. */ + /* srcB is always made to slide across srcA. */ + /* So srcBLen is always considered as shorter or equal to srcALen */ + /* But CORR(x, y) is reverse of CORR(y, x) */ + /* So, when srcBLen > srcALen, output pointer is made to point to the end of the output buffer */ + /* and the destination pointer modifier, inc is set to -1 */ + /* If srcALen > srcBLen, zero pad has to be done to srcB to make the two inputs of same length */ + /* But to improve the performance, + * we include zeroes in the output instead of zero padding either of the the inputs*/ + /* If srcALen > srcBLen, + * (srcALen - srcBLen) zeroes has to included in the starting of the output buffer */ + /* If srcALen < srcBLen, + * (srcALen - srcBLen) zeroes has to included in the ending of the output buffer */ + if (srcALen >= srcBLen) + { + /* Initialization of inputA pointer */ + pIn1 = (pSrcA); + + /* Initialization of inputB pointer */ + pIn2 = (pSrcB); + + /* Number of output samples is calculated */ + outBlockSize = (2U * srcALen) - 1U; + + /* When srcALen > srcBLen, zero padding is done to srcB + * to make their lengths equal. + * Instead, (outBlockSize - (srcALen + srcBLen - 1)) + * number of output samples are made zero */ + j = outBlockSize - (srcALen + (srcBLen - 1U)); + + /* Updating the pointer position to non zero value */ + pOut += j; + + } + else + { + /* Initialization of inputA pointer */ + pIn1 = (pSrcB); + + /* Initialization of inputB pointer */ + pIn2 = (pSrcA); + + /* srcBLen is always considered as shorter or equal to srcALen */ + j = srcBLen; + srcBLen = srcALen; + srcALen = j; + + /* CORR(x, y) = Reverse order(CORR(y, x)) */ + /* Hence set the destination pointer to point to the last output sample */ + pOut = pDst + ((srcALen + srcBLen) - 2U); + + /* Destination address modifier is set to -1 */ + inc = -1; + + } + + pScr = pScratch; + + /* Fill (srcBLen - 1U) zeros in scratch buffer */ + arm_fill_q15(0, pScr, (srcBLen - 1U)); + + /* Update temporary scratch pointer */ + pScr += (srcBLen - 1U); + +#ifndef UNALIGNED_SUPPORT_DISABLE + + /* Copy (srcALen) samples in scratch buffer */ + arm_copy_q15(pIn1, pScr, srcALen); + + /* Update pointers */ + pScr += srcALen; + +#else + + /* Apply loop unrolling and do 4 Copies simultaneously. */ + j = srcALen >> 2U; + + /* First part of the processing with loop unrolling copies 4 data points at a time. + ** a second loop below copies for the remaining 1 to 3 samples. */ + while (j > 0U) + { + /* copy second buffer in reversal manner */ + *pScr++ = *pIn1++; + *pScr++ = *pIn1++; + *pScr++ = *pIn1++; + *pScr++ = *pIn1++; + + /* Decrement the loop counter */ + j--; + } + + /* If the count is not a multiple of 4, copy remaining samples here. + ** No loop unrolling is used. */ + j = srcALen % 0x4U; + + while (j > 0U) + { + /* copy second buffer in reversal manner for remaining samples */ + *pScr++ = *pIn1++; + + /* Decrement the loop counter */ + j--; + } + +#endif /* #ifndef UNALIGNED_SUPPORT_DISABLE */ + +#ifndef UNALIGNED_SUPPORT_DISABLE + + /* Fill (srcBLen - 1U) zeros at end of scratch buffer */ + arm_fill_q15(0, pScr, (srcBLen - 1U)); + + /* Update pointer */ + pScr += (srcBLen - 1U); + +#else + +/* Apply loop unrolling and do 4 Copies simultaneously. */ + j = (srcBLen - 1U) >> 2U; + + /* First part of the processing with loop unrolling copies 4 data points at a time. + ** a second loop below copies for the remaining 1 to 3 samples. */ + while (j > 0U) + { + /* copy second buffer in reversal manner */ + *pScr++ = 0; + *pScr++ = 0; + *pScr++ = 0; + *pScr++ = 0; + + /* Decrement the loop counter */ + j--; + } + + /* If the count is not a multiple of 4, copy remaining samples here. + ** No loop unrolling is used. */ + j = (srcBLen - 1U) % 0x4U; + + while (j > 0U) + { + /* copy second buffer in reversal manner for remaining samples */ + *pScr++ = 0; + + /* Decrement the loop counter */ + j--; + } + +#endif /* #ifndef UNALIGNED_SUPPORT_DISABLE */ + + /* Temporary pointer for scratch2 */ + py = pIn2; + + + /* Actual correlation process starts here */ + blkCnt = (srcALen + srcBLen - 1U) >> 2; + + while (blkCnt > 0) + { + /* Initialze temporary scratch pointer as scratch1 */ + pScr = pScratch; + + /* Clear Accumlators */ + acc0 = 0; + acc1 = 0; + acc2 = 0; + acc3 = 0; + + /* Read four samples from scratch1 buffer */ + x1 = *__SIMD32(pScr)++; + + /* Read next four samples from scratch1 buffer */ + x2 = *__SIMD32(pScr)++; + + tapCnt = (srcBLen) >> 2U; + + while (tapCnt > 0U) + { + +#ifndef UNALIGNED_SUPPORT_DISABLE + + /* Read four samples from smaller buffer */ + y1 = _SIMD32_OFFSET(pIn2); + y2 = _SIMD32_OFFSET(pIn2 + 2U); + + acc0 = __SMLAD(x1, y1, acc0); + + acc2 = __SMLAD(x2, y1, acc2); + +#ifndef ARM_MATH_BIG_ENDIAN + x3 = __PKHBT(x2, x1, 0); +#else + x3 = __PKHBT(x1, x2, 0); +#endif + + acc1 = __SMLADX(x3, y1, acc1); + + x1 = _SIMD32_OFFSET(pScr); + + acc0 = __SMLAD(x2, y2, acc0); + + acc2 = __SMLAD(x1, y2, acc2); + +#ifndef ARM_MATH_BIG_ENDIAN + x3 = __PKHBT(x1, x2, 0); +#else + x3 = __PKHBT(x2, x1, 0); +#endif + + acc3 = __SMLADX(x3, y1, acc3); + + acc1 = __SMLADX(x3, y2, acc1); + + x2 = _SIMD32_OFFSET(pScr + 2U); + +#ifndef ARM_MATH_BIG_ENDIAN + x3 = __PKHBT(x2, x1, 0); +#else + x3 = __PKHBT(x1, x2, 0); +#endif + + acc3 = __SMLADX(x3, y2, acc3); +#else + + /* Read four samples from smaller buffer */ + a = *pIn2; + b = *(pIn2 + 1); + +#ifndef ARM_MATH_BIG_ENDIAN + y1 = __PKHBT(a, b, 16); +#else + y1 = __PKHBT(b, a, 16); +#endif + + a = *(pIn2 + 2); + b = *(pIn2 + 3); +#ifndef ARM_MATH_BIG_ENDIAN + y2 = __PKHBT(a, b, 16); +#else + y2 = __PKHBT(b, a, 16); +#endif + + acc0 = __SMLAD(x1, y1, acc0); + + acc2 = __SMLAD(x2, y1, acc2); + +#ifndef ARM_MATH_BIG_ENDIAN + x3 = __PKHBT(x2, x1, 0); +#else + x3 = __PKHBT(x1, x2, 0); +#endif + + acc1 = __SMLADX(x3, y1, acc1); + + a = *pScr; + b = *(pScr + 1); + +#ifndef ARM_MATH_BIG_ENDIAN + x1 = __PKHBT(a, b, 16); +#else + x1 = __PKHBT(b, a, 16); +#endif + + acc0 = __SMLAD(x2, y2, acc0); + + acc2 = __SMLAD(x1, y2, acc2); + +#ifndef ARM_MATH_BIG_ENDIAN + x3 = __PKHBT(x1, x2, 0); +#else + x3 = __PKHBT(x2, x1, 0); +#endif + + acc3 = __SMLADX(x3, y1, acc3); + + acc1 = __SMLADX(x3, y2, acc1); + + a = *(pScr + 2); + b = *(pScr + 3); + +#ifndef ARM_MATH_BIG_ENDIAN + x2 = __PKHBT(a, b, 16); +#else + x2 = __PKHBT(b, a, 16); +#endif + +#ifndef ARM_MATH_BIG_ENDIAN + x3 = __PKHBT(x2, x1, 0); +#else + x3 = __PKHBT(x1, x2, 0); +#endif + + acc3 = __SMLADX(x3, y2, acc3); + +#endif /* #ifndef UNALIGNED_SUPPORT_DISABLE */ + + pIn2 += 4U; + + pScr += 4U; + + + /* Decrement the loop counter */ + tapCnt--; + } + + + + /* Update scratch pointer for remaining samples of smaller length sequence */ + pScr -= 4U; + + + /* apply same above for remaining samples of smaller length sequence */ + tapCnt = (srcBLen) & 3U; + + while (tapCnt > 0U) + { + + /* accumlate the results */ + acc0 += (*pScr++ * *pIn2); + acc1 += (*pScr++ * *pIn2); + acc2 += (*pScr++ * *pIn2); + acc3 += (*pScr++ * *pIn2++); + + pScr -= 3U; + + /* Decrement the loop counter */ + tapCnt--; + } + + blkCnt--; + + + /* Store the results in the accumulators in the destination buffer. */ + *pOut = (__SSAT(acc0 >> 15U, 16)); + pOut += inc; + *pOut = (__SSAT(acc1 >> 15U, 16)); + pOut += inc; + *pOut = (__SSAT(acc2 >> 15U, 16)); + pOut += inc; + *pOut = (__SSAT(acc3 >> 15U, 16)); + pOut += inc; + + + /* Initialization of inputB pointer */ + pIn2 = py; + + pScratch += 4U; + + } + + + blkCnt = (srcALen + srcBLen - 1U) & 0x3; + + /* Calculate correlation for remaining samples of Bigger length sequence */ + while (blkCnt > 0) + { + /* Initialze temporary scratch pointer as scratch1 */ + pScr = pScratch; + + /* Clear Accumlators */ + acc0 = 0; + + tapCnt = (srcBLen) >> 1U; + + while (tapCnt > 0U) + { + + acc0 += (*pScr++ * *pIn2++); + acc0 += (*pScr++ * *pIn2++); + + /* Decrement the loop counter */ + tapCnt--; + } + + tapCnt = (srcBLen) & 1U; + + /* apply same above for remaining samples of smaller length sequence */ + while (tapCnt > 0U) + { + + /* accumlate the results */ + acc0 += (*pScr++ * *pIn2++); + + /* Decrement the loop counter */ + tapCnt--; + } + + blkCnt--; + + /* Store the result in the accumulator in the destination buffer. */ + + *pOut = (q15_t) (__SSAT((acc0 >> 15), 16)); + + pOut += inc; + + /* Initialization of inputB pointer */ + pIn2 = py; + + pScratch += 1U; + + } +} + +/** + * @} end of Corr group + */ diff --git a/fw/hid-dials/Drivers/CMSIS/DSP/Source/FilteringFunctions/arm_correlate_fast_q15.c b/fw/hid-dials/Drivers/CMSIS/DSP/Source/FilteringFunctions/arm_correlate_fast_q15.c new file mode 100644 index 0000000..7b676d0 --- /dev/null +++ b/fw/hid-dials/Drivers/CMSIS/DSP/Source/FilteringFunctions/arm_correlate_fast_q15.c @@ -0,0 +1,1307 @@ +/* ---------------------------------------------------------------------- + * Project: CMSIS DSP Library + * Title: arm_correlate_fast_q15.c + * Description: Fast Q15 Correlation + * + * $Date: 27. January 2017 + * $Revision: V.1.5.1 + * + * Target Processor: Cortex-M cores + * -------------------------------------------------------------------- */ +/* + * Copyright (C) 2010-2017 ARM Limited or its affiliates. All rights reserved. + * + * SPDX-License-Identifier: Apache-2.0 + * + * Licensed under the Apache License, Version 2.0 (the License); you may + * not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an AS IS BASIS, WITHOUT + * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ + +#include "arm_math.h" + +/** + * @ingroup groupFilters + */ + +/** + * @addtogroup Corr + * @{ + */ + +/** + * @brief Correlation of Q15 sequences (fast version) for Cortex-M3 and Cortex-M4. + * @param[in] *pSrcA points to the first input sequence. + * @param[in] srcALen length of the first input sequence. + * @param[in] *pSrcB points to the second input sequence. + * @param[in] srcBLen length of the second input sequence. + * @param[out] *pDst points to the location where the output result is written. Length 2 * max(srcALen, srcBLen) - 1. + * @return none. + * + * Scaling and Overflow Behavior: + * + * \par + * This fast version uses a 32-bit accumulator with 2.30 format. + * The accumulator maintains full precision of the intermediate multiplication results but provides only a single guard bit. + * There is no saturation on intermediate additions. + * Thus, if the accumulator overflows it wraps around and distorts the result. + * The input signals should be scaled down to avoid intermediate overflows. + * Scale down one of the inputs by 1/min(srcALen, srcBLen) to avoid overflow since a + * maximum of min(srcALen, srcBLen) number of additions is carried internally. + * The 2.30 accumulator is right shifted by 15 bits and then saturated to 1.15 format to yield the final result. + * + * \par + * See arm_correlate_q15() for a slower implementation of this function which uses a 64-bit accumulator to avoid wrap around distortion. + */ + +void arm_correlate_fast_q15( + q15_t * pSrcA, + uint32_t srcALen, + q15_t * pSrcB, + uint32_t srcBLen, + q15_t * pDst) +{ +#ifndef UNALIGNED_SUPPORT_DISABLE + + q15_t *pIn1; /* inputA pointer */ + q15_t *pIn2; /* inputB pointer */ + q15_t *pOut = pDst; /* output pointer */ + q31_t sum, acc0, acc1, acc2, acc3; /* Accumulators */ + q15_t *px; /* Intermediate inputA pointer */ + q15_t *py; /* Intermediate inputB pointer */ + q15_t *pSrc1; /* Intermediate pointers */ + q31_t x0, x1, x2, x3, c0; /* temporary variables for holding input and coefficient values */ + uint32_t j, k = 0U, count, blkCnt, outBlockSize, blockSize1, blockSize2, blockSize3; /* loop counter */ + int32_t inc = 1; /* Destination address modifier */ + + + /* The algorithm implementation is based on the lengths of the inputs. */ + /* srcB is always made to slide across srcA. */ + /* So srcBLen is always considered as shorter or equal to srcALen */ + /* But CORR(x, y) is reverse of CORR(y, x) */ + /* So, when srcBLen > srcALen, output pointer is made to point to the end of the output buffer */ + /* and the destination pointer modifier, inc is set to -1 */ + /* If srcALen > srcBLen, zero pad has to be done to srcB to make the two inputs of same length */ + /* But to improve the performance, + * we include zeroes in the output instead of zero padding either of the the inputs*/ + /* If srcALen > srcBLen, + * (srcALen - srcBLen) zeroes has to included in the starting of the output buffer */ + /* If srcALen < srcBLen, + * (srcALen - srcBLen) zeroes has to included in the ending of the output buffer */ + if (srcALen >= srcBLen) + { + /* Initialization of inputA pointer */ + pIn1 = (pSrcA); + + /* Initialization of inputB pointer */ + pIn2 = (pSrcB); + + /* Number of output samples is calculated */ + outBlockSize = (2U * srcALen) - 1U; + + /* When srcALen > srcBLen, zero padding is done to srcB + * to make their lengths equal. + * Instead, (outBlockSize - (srcALen + srcBLen - 1)) + * number of output samples are made zero */ + j = outBlockSize - (srcALen + (srcBLen - 1U)); + + /* Updating the pointer position to non zero value */ + pOut += j; + + } + else + { + /* Initialization of inputA pointer */ + pIn1 = (pSrcB); + + /* Initialization of inputB pointer */ + pIn2 = (pSrcA); + + /* srcBLen is always considered as shorter or equal to srcALen */ + j = srcBLen; + srcBLen = srcALen; + srcALen = j; + + /* CORR(x, y) = Reverse order(CORR(y, x)) */ + /* Hence set the destination pointer to point to the last output sample */ + pOut = pDst + ((srcALen + srcBLen) - 2U); + + /* Destination address modifier is set to -1 */ + inc = -1; + + } + + /* The function is internally + * divided into three parts according to the number of multiplications that has to be + * taken place between inputA samples and inputB samples. In the first part of the + * algorithm, the multiplications increase by one for every iteration. + * In the second part of the algorithm, srcBLen number of multiplications are done. + * In the third part of the algorithm, the multiplications decrease by one + * for every iteration.*/ + /* The algorithm is implemented in three stages. + * The loop counters of each stage is initiated here. */ + blockSize1 = srcBLen - 1U; + blockSize2 = srcALen - (srcBLen - 1U); + blockSize3 = blockSize1; + + /* -------------------------- + * Initializations of stage1 + * -------------------------*/ + + /* sum = x[0] * y[srcBlen - 1] + * sum = x[0] * y[srcBlen - 2] + x[1] * y[srcBlen - 1] + * .... + * sum = x[0] * y[0] + x[1] * y[1] +...+ x[srcBLen - 1] * y[srcBLen - 1] + */ + + /* In this stage the MAC operations are increased by 1 for every iteration. + The count variable holds the number of MAC operations performed */ + count = 1U; + + /* Working pointer of inputA */ + px = pIn1; + + /* Working pointer of inputB */ + pSrc1 = pIn2 + (srcBLen - 1U); + py = pSrc1; + + /* ------------------------ + * Stage1 process + * ----------------------*/ + + /* The first loop starts here */ + while (blockSize1 > 0U) + { + /* Accumulator is made zero for every iteration */ + sum = 0; + + /* Apply loop unrolling and compute 4 MACs simultaneously. */ + k = count >> 2; + + /* First part of the processing with loop unrolling. Compute 4 MACs at a time. + ** a second loop below computes MACs for the remaining 1 to 3 samples. */ + while (k > 0U) + { + /* x[0] * y[srcBLen - 4] , x[1] * y[srcBLen - 3] */ + sum = __SMLAD(*__SIMD32(px)++, *__SIMD32(py)++, sum); + /* x[3] * y[srcBLen - 1] , x[2] * y[srcBLen - 2] */ + sum = __SMLAD(*__SIMD32(px)++, *__SIMD32(py)++, sum); + + /* Decrement the loop counter */ + k--; + } + + /* If the count is not a multiple of 4, compute any remaining MACs here. + ** No loop unrolling is used. */ + k = count % 0x4U; + + while (k > 0U) + { + /* Perform the multiply-accumulates */ + /* x[0] * y[srcBLen - 1] */ + sum = __SMLAD(*px++, *py++, sum); + + /* Decrement the loop counter */ + k--; + } + + /* Store the result in the accumulator in the destination buffer. */ + *pOut = (q15_t) (sum >> 15); + /* Destination pointer is updated according to the address modifier, inc */ + pOut += inc; + + /* Update the inputA and inputB pointers for next MAC calculation */ + py = pSrc1 - count; + px = pIn1; + + /* Increment the MAC count */ + count++; + + /* Decrement the loop counter */ + blockSize1--; + } + + /* -------------------------- + * Initializations of stage2 + * ------------------------*/ + + /* sum = x[0] * y[0] + x[1] * y[1] +...+ x[srcBLen-1] * y[srcBLen-1] + * sum = x[1] * y[0] + x[2] * y[1] +...+ x[srcBLen] * y[srcBLen-1] + * .... + * sum = x[srcALen-srcBLen-2] * y[0] + x[srcALen-srcBLen-1] * y[1] +...+ x[srcALen-1] * y[srcBLen-1] + */ + + /* Working pointer of inputA */ + px = pIn1; + + /* Working pointer of inputB */ + py = pIn2; + + /* count is index by which the pointer pIn1 to be incremented */ + count = 0U; + + /* ------------------- + * Stage2 process + * ------------------*/ + + /* Stage2 depends on srcBLen as in this stage srcBLen number of MACS are performed. + * So, to loop unroll over blockSize2, + * srcBLen should be greater than or equal to 4, to loop unroll the srcBLen loop */ + if (srcBLen >= 4U) + { + /* Loop unroll over blockSize2, by 4 */ + blkCnt = blockSize2 >> 2U; + + while (blkCnt > 0U) + { + /* Set all accumulators to zero */ + acc0 = 0; + acc1 = 0; + acc2 = 0; + acc3 = 0; + + /* read x[0], x[1] samples */ + x0 = *__SIMD32(px); + /* read x[1], x[2] samples */ + x1 = _SIMD32_OFFSET(px + 1); + px += 2U; + + /* Apply loop unrolling and compute 4 MACs simultaneously. */ + k = srcBLen >> 2U; + + /* First part of the processing with loop unrolling. Compute 4 MACs at a time. + ** a second loop below computes MACs for the remaining 1 to 3 samples. */ + do + { + /* Read the first two inputB samples using SIMD: + * y[0] and y[1] */ + c0 = *__SIMD32(py)++; + + /* acc0 += x[0] * y[0] + x[1] * y[1] */ + acc0 = __SMLAD(x0, c0, acc0); + + /* acc1 += x[1] * y[0] + x[2] * y[1] */ + acc1 = __SMLAD(x1, c0, acc1); + + /* Read x[2], x[3] */ + x2 = *__SIMD32(px); + + /* Read x[3], x[4] */ + x3 = _SIMD32_OFFSET(px + 1); + + /* acc2 += x[2] * y[0] + x[3] * y[1] */ + acc2 = __SMLAD(x2, c0, acc2); + + /* acc3 += x[3] * y[0] + x[4] * y[1] */ + acc3 = __SMLAD(x3, c0, acc3); + + /* Read y[2] and y[3] */ + c0 = *__SIMD32(py)++; + + /* acc0 += x[2] * y[2] + x[3] * y[3] */ + acc0 = __SMLAD(x2, c0, acc0); + + /* acc1 += x[3] * y[2] + x[4] * y[3] */ + acc1 = __SMLAD(x3, c0, acc1); + + /* Read x[4], x[5] */ + x0 = _SIMD32_OFFSET(px + 2); + + /* Read x[5], x[6] */ + x1 = _SIMD32_OFFSET(px + 3); + px += 4U; + + /* acc2 += x[4] * y[2] + x[5] * y[3] */ + acc2 = __SMLAD(x0, c0, acc2); + + /* acc3 += x[5] * y[2] + x[6] * y[3] */ + acc3 = __SMLAD(x1, c0, acc3); + + } while (--k); + + /* For the next MAC operations, SIMD is not used + * So, the 16 bit pointer if inputB, py is updated */ + + /* If the srcBLen is not a multiple of 4, compute any remaining MACs here. + ** No loop unrolling is used. */ + k = srcBLen % 0x4U; + + if (k == 1U) + { + /* Read y[4] */ + c0 = *py; +#ifdef ARM_MATH_BIG_ENDIAN + + c0 = c0 << 16U; + +#else + + c0 = c0 & 0x0000FFFF; + +#endif /* #ifdef ARM_MATH_BIG_ENDIAN */ + + /* Read x[7] */ + x3 = *__SIMD32(px); + px++; + + /* Perform the multiply-accumulates */ + acc0 = __SMLAD(x0, c0, acc0); + acc1 = __SMLAD(x1, c0, acc1); + acc2 = __SMLADX(x1, c0, acc2); + acc3 = __SMLADX(x3, c0, acc3); + } + + if (k == 2U) + { + /* Read y[4], y[5] */ + c0 = *__SIMD32(py); + + /* Read x[7], x[8] */ + x3 = *__SIMD32(px); + + /* Read x[9] */ + x2 = _SIMD32_OFFSET(px + 1); + px += 2U; + + /* Perform the multiply-accumulates */ + acc0 = __SMLAD(x0, c0, acc0); + acc1 = __SMLAD(x1, c0, acc1); + acc2 = __SMLAD(x3, c0, acc2); + acc3 = __SMLAD(x2, c0, acc3); + } + + if (k == 3U) + { + /* Read y[4], y[5] */ + c0 = *__SIMD32(py)++; + + /* Read x[7], x[8] */ + x3 = *__SIMD32(px); + + /* Read x[9] */ + x2 = _SIMD32_OFFSET(px + 1); + + /* Perform the multiply-accumulates */ + acc0 = __SMLAD(x0, c0, acc0); + acc1 = __SMLAD(x1, c0, acc1); + acc2 = __SMLAD(x3, c0, acc2); + acc3 = __SMLAD(x2, c0, acc3); + + c0 = (*py); + /* Read y[6] */ +#ifdef ARM_MATH_BIG_ENDIAN + + c0 = c0 << 16U; +#else + + c0 = c0 & 0x0000FFFF; +#endif /* #ifdef ARM_MATH_BIG_ENDIAN */ + + /* Read x[10] */ + x3 = _SIMD32_OFFSET(px + 2); + px += 3U; + + /* Perform the multiply-accumulates */ + acc0 = __SMLADX(x1, c0, acc0); + acc1 = __SMLAD(x2, c0, acc1); + acc2 = __SMLADX(x2, c0, acc2); + acc3 = __SMLADX(x3, c0, acc3); + } + + /* Store the result in the accumulator in the destination buffer. */ + *pOut = (q15_t) (acc0 >> 15); + /* Destination pointer is updated according to the address modifier, inc */ + pOut += inc; + + *pOut = (q15_t) (acc1 >> 15); + pOut += inc; + + *pOut = (q15_t) (acc2 >> 15); + pOut += inc; + + *pOut = (q15_t) (acc3 >> 15); + pOut += inc; + + /* Increment the pointer pIn1 index, count by 1 */ + count += 4U; + + /* Update the inputA and inputB pointers for next MAC calculation */ + px = pIn1 + count; + py = pIn2; + + + /* Decrement the loop counter */ + blkCnt--; + } + + /* If the blockSize2 is not a multiple of 4, compute any remaining output samples here. + ** No loop unrolling is used. */ + blkCnt = blockSize2 % 0x4U; + + while (blkCnt > 0U) + { + /* Accumulator is made zero for every iteration */ + sum = 0; + + /* Apply loop unrolling and compute 4 MACs simultaneously. */ + k = srcBLen >> 2U; + + /* First part of the processing with loop unrolling. Compute 4 MACs at a time. + ** a second loop below computes MACs for the remaining 1 to 3 samples. */ + while (k > 0U) + { + /* Perform the multiply-accumulates */ + sum += ((q31_t) * px++ * *py++); + sum += ((q31_t) * px++ * *py++); + sum += ((q31_t) * px++ * *py++); + sum += ((q31_t) * px++ * *py++); + + /* Decrement the loop counter */ + k--; + } + + /* If the srcBLen is not a multiple of 4, compute any remaining MACs here. + ** No loop unrolling is used. */ + k = srcBLen % 0x4U; + + while (k > 0U) + { + /* Perform the multiply-accumulates */ + sum += ((q31_t) * px++ * *py++); + + /* Decrement the loop counter */ + k--; + } + + /* Store the result in the accumulator in the destination buffer. */ + *pOut = (q15_t) (sum >> 15); + /* Destination pointer is updated according to the address modifier, inc */ + pOut += inc; + + /* Increment the pointer pIn1 index, count by 1 */ + count++; + + /* Update the inputA and inputB pointers for next MAC calculation */ + px = pIn1 + count; + py = pIn2; + + /* Decrement the loop counter */ + blkCnt--; + } + } + else + { + /* If the srcBLen is not a multiple of 4, + * the blockSize2 loop cannot be unrolled by 4 */ + blkCnt = blockSize2; + + while (blkCnt > 0U) + { + /* Accumulator is made zero for every iteration */ + sum = 0; + + /* Loop over srcBLen */ + k = srcBLen; + + while (k > 0U) + { + /* Perform the multiply-accumulate */ + sum += ((q31_t) * px++ * *py++); + + /* Decrement the loop counter */ + k--; + } + + /* Store the result in the accumulator in the destination buffer. */ + *pOut = (q15_t) (sum >> 15); + /* Destination pointer is updated according to the address modifier, inc */ + pOut += inc; + + /* Increment the MAC count */ + count++; + + /* Update the inputA and inputB pointers for next MAC calculation */ + px = pIn1 + count; + py = pIn2; + + /* Decrement the loop counter */ + blkCnt--; + } + } + + /* -------------------------- + * Initializations of stage3 + * -------------------------*/ + + /* sum += x[srcALen-srcBLen+1] * y[0] + x[srcALen-srcBLen+2] * y[1] +...+ x[srcALen-1] * y[srcBLen-1] + * sum += x[srcALen-srcBLen+2] * y[0] + x[srcALen-srcBLen+3] * y[1] +...+ x[srcALen-1] * y[srcBLen-1] + * .... + * sum += x[srcALen-2] * y[0] + x[srcALen-1] * y[1] + * sum += x[srcALen-1] * y[0] + */ + + /* In this stage the MAC operations are decreased by 1 for every iteration. + The count variable holds the number of MAC operations performed */ + count = srcBLen - 1U; + + /* Working pointer of inputA */ + pSrc1 = (pIn1 + srcALen) - (srcBLen - 1U); + px = pSrc1; + + /* Working pointer of inputB */ + py = pIn2; + + /* ------------------- + * Stage3 process + * ------------------*/ + + while (blockSize3 > 0U) + { + /* Accumulator is made zero for every iteration */ + sum = 0; + + /* Apply loop unrolling and compute 4 MACs simultaneously. */ + k = count >> 2U; + + /* First part of the processing with loop unrolling. Compute 4 MACs at a time. + ** a second loop below computes MACs for the remaining 1 to 3 samples. */ + while (k > 0U) + { + /* Perform the multiply-accumulates */ + /* sum += x[srcALen - srcBLen + 4] * y[3] , sum += x[srcALen - srcBLen + 3] * y[2] */ + sum = __SMLAD(*__SIMD32(px)++, *__SIMD32(py)++, sum); + /* sum += x[srcALen - srcBLen + 2] * y[1] , sum += x[srcALen - srcBLen + 1] * y[0] */ + sum = __SMLAD(*__SIMD32(px)++, *__SIMD32(py)++, sum); + + /* Decrement the loop counter */ + k--; + } + + /* If the count is not a multiple of 4, compute any remaining MACs here. + ** No loop unrolling is used. */ + k = count % 0x4U; + + while (k > 0U) + { + /* Perform the multiply-accumulates */ + sum = __SMLAD(*px++, *py++, sum); + + /* Decrement the loop counter */ + k--; + } + + /* Store the result in the accumulator in the destination buffer. */ + *pOut = (q15_t) (sum >> 15); + /* Destination pointer is updated according to the address modifier, inc */ + pOut += inc; + + /* Update the inputA and inputB pointers for next MAC calculation */ + px = ++pSrc1; + py = pIn2; + + /* Decrement the MAC count */ + count--; + + /* Decrement the loop counter */ + blockSize3--; + } + +#else + + q15_t *pIn1; /* inputA pointer */ + q15_t *pIn2; /* inputB pointer */ + q15_t *pOut = pDst; /* output pointer */ + q31_t sum, acc0, acc1, acc2, acc3; /* Accumulators */ + q15_t *px; /* Intermediate inputA pointer */ + q15_t *py; /* Intermediate inputB pointer */ + q15_t *pSrc1; /* Intermediate pointers */ + q31_t x0, x1, x2, x3, c0; /* temporary variables for holding input and coefficient values */ + uint32_t j, k = 0U, count, blkCnt, outBlockSize, blockSize1, blockSize2, blockSize3; /* loop counter */ + int32_t inc = 1; /* Destination address modifier */ + q15_t a, b; + + + /* The algorithm implementation is based on the lengths of the inputs. */ + /* srcB is always made to slide across srcA. */ + /* So srcBLen is always considered as shorter or equal to srcALen */ + /* But CORR(x, y) is reverse of CORR(y, x) */ + /* So, when srcBLen > srcALen, output pointer is made to point to the end of the output buffer */ + /* and the destination pointer modifier, inc is set to -1 */ + /* If srcALen > srcBLen, zero pad has to be done to srcB to make the two inputs of same length */ + /* But to improve the performance, + * we include zeroes in the output instead of zero padding either of the the inputs*/ + /* If srcALen > srcBLen, + * (srcALen - srcBLen) zeroes has to included in the starting of the output buffer */ + /* If srcALen < srcBLen, + * (srcALen - srcBLen) zeroes has to included in the ending of the output buffer */ + if (srcALen >= srcBLen) + { + /* Initialization of inputA pointer */ + pIn1 = (pSrcA); + + /* Initialization of inputB pointer */ + pIn2 = (pSrcB); + + /* Number of output samples is calculated */ + outBlockSize = (2U * srcALen) - 1U; + + /* When srcALen > srcBLen, zero padding is done to srcB + * to make their lengths equal. + * Instead, (outBlockSize - (srcALen + srcBLen - 1)) + * number of output samples are made zero */ + j = outBlockSize - (srcALen + (srcBLen - 1U)); + + /* Updating the pointer position to non zero value */ + pOut += j; + + } + else + { + /* Initialization of inputA pointer */ + pIn1 = (pSrcB); + + /* Initialization of inputB pointer */ + pIn2 = (pSrcA); + + /* srcBLen is always considered as shorter or equal to srcALen */ + j = srcBLen; + srcBLen = srcALen; + srcALen = j; + + /* CORR(x, y) = Reverse order(CORR(y, x)) */ + /* Hence set the destination pointer to point to the last output sample */ + pOut = pDst + ((srcALen + srcBLen) - 2U); + + /* Destination address modifier is set to -1 */ + inc = -1; + + } + + /* The function is internally + * divided into three parts according to the number of multiplications that has to be + * taken place between inputA samples and inputB samples. In the first part of the + * algorithm, the multiplications increase by one for every iteration. + * In the second part of the algorithm, srcBLen number of multiplications are done. + * In the third part of the algorithm, the multiplications decrease by one + * for every iteration.*/ + /* The algorithm is implemented in three stages. + * The loop counters of each stage is initiated here. */ + blockSize1 = srcBLen - 1U; + blockSize2 = srcALen - (srcBLen - 1U); + blockSize3 = blockSize1; + + /* -------------------------- + * Initializations of stage1 + * -------------------------*/ + + /* sum = x[0] * y[srcBlen - 1] + * sum = x[0] * y[srcBlen - 2] + x[1] * y[srcBlen - 1] + * .... + * sum = x[0] * y[0] + x[1] * y[1] +...+ x[srcBLen - 1] * y[srcBLen - 1] + */ + + /* In this stage the MAC operations are increased by 1 for every iteration. + The count variable holds the number of MAC operations performed */ + count = 1U; + + /* Working pointer of inputA */ + px = pIn1; + + /* Working pointer of inputB */ + pSrc1 = pIn2 + (srcBLen - 1U); + py = pSrc1; + + /* ------------------------ + * Stage1 process + * ----------------------*/ + + /* The first loop starts here */ + while (blockSize1 > 0U) + { + /* Accumulator is made zero for every iteration */ + sum = 0; + + /* Apply loop unrolling and compute 4 MACs simultaneously. */ + k = count >> 2; + + /* First part of the processing with loop unrolling. Compute 4 MACs at a time. + ** a second loop below computes MACs for the remaining 1 to 3 samples. */ + while (k > 0U) + { + /* x[0] * y[srcBLen - 4] , x[1] * y[srcBLen - 3] */ + sum += ((q31_t) * px++ * *py++); + sum += ((q31_t) * px++ * *py++); + sum += ((q31_t) * px++ * *py++); + sum += ((q31_t) * px++ * *py++); + + /* Decrement the loop counter */ + k--; + } + + /* If the count is not a multiple of 4, compute any remaining MACs here. + ** No loop unrolling is used. */ + k = count % 0x4U; + + while (k > 0U) + { + /* Perform the multiply-accumulates */ + /* x[0] * y[srcBLen - 1] */ + sum += ((q31_t) * px++ * *py++); + + /* Decrement the loop counter */ + k--; + } + + /* Store the result in the accumulator in the destination buffer. */ + *pOut = (q15_t) (sum >> 15); + /* Destination pointer is updated according to the address modifier, inc */ + pOut += inc; + + /* Update the inputA and inputB pointers for next MAC calculation */ + py = pSrc1 - count; + px = pIn1; + + /* Increment the MAC count */ + count++; + + /* Decrement the loop counter */ + blockSize1--; + } + + /* -------------------------- + * Initializations of stage2 + * ------------------------*/ + + /* sum = x[0] * y[0] + x[1] * y[1] +...+ x[srcBLen-1] * y[srcBLen-1] + * sum = x[1] * y[0] + x[2] * y[1] +...+ x[srcBLen] * y[srcBLen-1] + * .... + * sum = x[srcALen-srcBLen-2] * y[0] + x[srcALen-srcBLen-1] * y[1] +...+ x[srcALen-1] * y[srcBLen-1] + */ + + /* Working pointer of inputA */ + px = pIn1; + + /* Working pointer of inputB */ + py = pIn2; + + /* count is index by which the pointer pIn1 to be incremented */ + count = 0U; + + /* ------------------- + * Stage2 process + * ------------------*/ + + /* Stage2 depends on srcBLen as in this stage srcBLen number of MACS are performed. + * So, to loop unroll over blockSize2, + * srcBLen should be greater than or equal to 4, to loop unroll the srcBLen loop */ + if (srcBLen >= 4U) + { + /* Loop unroll over blockSize2, by 4 */ + blkCnt = blockSize2 >> 2U; + + while (blkCnt > 0U) + { + /* Set all accumulators to zero */ + acc0 = 0; + acc1 = 0; + acc2 = 0; + acc3 = 0; + + /* read x[0], x[1], x[2] samples */ + a = *px; + b = *(px + 1); + +#ifndef ARM_MATH_BIG_ENDIAN + + x0 = __PKHBT(a, b, 16); + a = *(px + 2); + x1 = __PKHBT(b, a, 16); + +#else + + x0 = __PKHBT(b, a, 16); + a = *(px + 2); + x1 = __PKHBT(a, b, 16); + +#endif /* #ifndef ARM_MATH_BIG_ENDIAN */ + + px += 2U; + + /* Apply loop unrolling and compute 4 MACs simultaneously. */ + k = srcBLen >> 2U; + + /* First part of the processing with loop unrolling. Compute 4 MACs at a time. + ** a second loop below computes MACs for the remaining 1 to 3 samples. */ + do + { + /* Read the first two inputB samples using SIMD: + * y[0] and y[1] */ + a = *py; + b = *(py + 1); + +#ifndef ARM_MATH_BIG_ENDIAN + + c0 = __PKHBT(a, b, 16); + +#else + + c0 = __PKHBT(b, a, 16); + +#endif /* #ifndef ARM_MATH_BIG_ENDIAN */ + + /* acc0 += x[0] * y[0] + x[1] * y[1] */ + acc0 = __SMLAD(x0, c0, acc0); + + /* acc1 += x[1] * y[0] + x[2] * y[1] */ + acc1 = __SMLAD(x1, c0, acc1); + + /* Read x[2], x[3], x[4] */ + a = *px; + b = *(px + 1); + +#ifndef ARM_MATH_BIG_ENDIAN + + x2 = __PKHBT(a, b, 16); + a = *(px + 2); + x3 = __PKHBT(b, a, 16); + +#else + + x2 = __PKHBT(b, a, 16); + a = *(px + 2); + x3 = __PKHBT(a, b, 16); + +#endif /* #ifndef ARM_MATH_BIG_ENDIAN */ + + /* acc2 += x[2] * y[0] + x[3] * y[1] */ + acc2 = __SMLAD(x2, c0, acc2); + + /* acc3 += x[3] * y[0] + x[4] * y[1] */ + acc3 = __SMLAD(x3, c0, acc3); + + /* Read y[2] and y[3] */ + a = *(py + 2); + b = *(py + 3); + + py += 4U; + +#ifndef ARM_MATH_BIG_ENDIAN + + c0 = __PKHBT(a, b, 16); + +#else + + c0 = __PKHBT(b, a, 16); + +#endif /* #ifndef ARM_MATH_BIG_ENDIAN */ + + /* acc0 += x[2] * y[2] + x[3] * y[3] */ + acc0 = __SMLAD(x2, c0, acc0); + + /* acc1 += x[3] * y[2] + x[4] * y[3] */ + acc1 = __SMLAD(x3, c0, acc1); + + /* Read x[4], x[5], x[6] */ + a = *(px + 2); + b = *(px + 3); + +#ifndef ARM_MATH_BIG_ENDIAN + + x0 = __PKHBT(a, b, 16); + a = *(px + 4); + x1 = __PKHBT(b, a, 16); + +#else + + x0 = __PKHBT(b, a, 16); + a = *(px + 4); + x1 = __PKHBT(a, b, 16); + +#endif /* #ifndef ARM_MATH_BIG_ENDIAN */ + + px += 4U; + + /* acc2 += x[4] * y[2] + x[5] * y[3] */ + acc2 = __SMLAD(x0, c0, acc2); + + /* acc3 += x[5] * y[2] + x[6] * y[3] */ + acc3 = __SMLAD(x1, c0, acc3); + + } while (--k); + + /* For the next MAC operations, SIMD is not used + * So, the 16 bit pointer if inputB, py is updated */ + + /* If the srcBLen is not a multiple of 4, compute any remaining MACs here. + ** No loop unrolling is used. */ + k = srcBLen % 0x4U; + + if (k == 1U) + { + /* Read y[4] */ + c0 = *py; +#ifdef ARM_MATH_BIG_ENDIAN + + c0 = c0 << 16U; + +#else + + c0 = c0 & 0x0000FFFF; + +#endif /* #ifdef ARM_MATH_BIG_ENDIAN */ + + /* Read x[7] */ + a = *px; + b = *(px + 1); + + px++;; + +#ifndef ARM_MATH_BIG_ENDIAN + + x3 = __PKHBT(a, b, 16); + +#else + + x3 = __PKHBT(b, a, 16); + +#endif /* #ifndef ARM_MATH_BIG_ENDIAN */ + + px++; + + /* Perform the multiply-accumulates */ + acc0 = __SMLAD(x0, c0, acc0); + acc1 = __SMLAD(x1, c0, acc1); + acc2 = __SMLADX(x1, c0, acc2); + acc3 = __SMLADX(x3, c0, acc3); + } + + if (k == 2U) + { + /* Read y[4], y[5] */ + a = *py; + b = *(py + 1); + +#ifndef ARM_MATH_BIG_ENDIAN + + c0 = __PKHBT(a, b, 16); + +#else + + c0 = __PKHBT(b, a, 16); + +#endif /* #ifndef ARM_MATH_BIG_ENDIAN */ + + /* Read x[7], x[8], x[9] */ + a = *px; + b = *(px + 1); + +#ifndef ARM_MATH_BIG_ENDIAN + + x3 = __PKHBT(a, b, 16); + a = *(px + 2); + x2 = __PKHBT(b, a, 16); + +#else + + x3 = __PKHBT(b, a, 16); + a = *(px + 2); + x2 = __PKHBT(a, b, 16); + +#endif /* #ifndef ARM_MATH_BIG_ENDIAN */ + + px += 2U; + + /* Perform the multiply-accumulates */ + acc0 = __SMLAD(x0, c0, acc0); + acc1 = __SMLAD(x1, c0, acc1); + acc2 = __SMLAD(x3, c0, acc2); + acc3 = __SMLAD(x2, c0, acc3); + } + + if (k == 3U) + { + /* Read y[4], y[5] */ + a = *py; + b = *(py + 1); + +#ifndef ARM_MATH_BIG_ENDIAN + + c0 = __PKHBT(a, b, 16); + +#else + + c0 = __PKHBT(b, a, 16); + +#endif /* #ifndef ARM_MATH_BIG_ENDIAN */ + + py += 2U; + + /* Read x[7], x[8], x[9] */ + a = *px; + b = *(px + 1); + +#ifndef ARM_MATH_BIG_ENDIAN + + x3 = __PKHBT(a, b, 16); + a = *(px + 2); + x2 = __PKHBT(b, a, 16); + +#else + + x3 = __PKHBT(b, a, 16); + a = *(px + 2); + x2 = __PKHBT(a, b, 16); + +#endif /* #ifndef ARM_MATH_BIG_ENDIAN */ + + /* Perform the multiply-accumulates */ + acc0 = __SMLAD(x0, c0, acc0); + acc1 = __SMLAD(x1, c0, acc1); + acc2 = __SMLAD(x3, c0, acc2); + acc3 = __SMLAD(x2, c0, acc3); + + c0 = (*py); + /* Read y[6] */ +#ifdef ARM_MATH_BIG_ENDIAN + + c0 = c0 << 16U; +#else + + c0 = c0 & 0x0000FFFF; +#endif /* #ifdef ARM_MATH_BIG_ENDIAN */ + + /* Read x[10] */ + b = *(px + 3); + +#ifndef ARM_MATH_BIG_ENDIAN + + x3 = __PKHBT(a, b, 16); + +#else + + x3 = __PKHBT(b, a, 16); + +#endif /* #ifndef ARM_MATH_BIG_ENDIAN */ + + px += 3U; + + /* Perform the multiply-accumulates */ + acc0 = __SMLADX(x1, c0, acc0); + acc1 = __SMLAD(x2, c0, acc1); + acc2 = __SMLADX(x2, c0, acc2); + acc3 = __SMLADX(x3, c0, acc3); + } + + /* Store the result in the accumulator in the destination buffer. */ + *pOut = (q15_t) (acc0 >> 15); + /* Destination pointer is updated according to the address modifier, inc */ + pOut += inc; + + *pOut = (q15_t) (acc1 >> 15); + pOut += inc; + + *pOut = (q15_t) (acc2 >> 15); + pOut += inc; + + *pOut = (q15_t) (acc3 >> 15); + pOut += inc; + + /* Increment the pointer pIn1 index, count by 1 */ + count += 4U; + + /* Update the inputA and inputB pointers for next MAC calculation */ + px = pIn1 + count; + py = pIn2; + + + /* Decrement the loop counter */ + blkCnt--; + } + + /* If the blockSize2 is not a multiple of 4, compute any remaining output samples here. + ** No loop unrolling is used. */ + blkCnt = blockSize2 % 0x4U; + + while (blkCnt > 0U) + { + /* Accumulator is made zero for every iteration */ + sum = 0; + + /* Apply loop unrolling and compute 4 MACs simultaneously. */ + k = srcBLen >> 2U; + + /* First part of the processing with loop unrolling. Compute 4 MACs at a time. + ** a second loop below computes MACs for the remaining 1 to 3 samples. */ + while (k > 0U) + { + /* Perform the multiply-accumulates */ + sum += ((q31_t) * px++ * *py++); + sum += ((q31_t) * px++ * *py++); + sum += ((q31_t) * px++ * *py++); + sum += ((q31_t) * px++ * *py++); + + /* Decrement the loop counter */ + k--; + } + + /* If the srcBLen is not a multiple of 4, compute any remaining MACs here. + ** No loop unrolling is used. */ + k = srcBLen % 0x4U; + + while (k > 0U) + { + /* Perform the multiply-accumulates */ + sum += ((q31_t) * px++ * *py++); + + /* Decrement the loop counter */ + k--; + } + + /* Store the result in the accumulator in the destination buffer. */ + *pOut = (q15_t) (sum >> 15); + /* Destination pointer is updated according to the address modifier, inc */ + pOut += inc; + + /* Increment the pointer pIn1 index, count by 1 */ + count++; + + /* Update the inputA and inputB pointers for next MAC calculation */ + px = pIn1 + count; + py = pIn2; + + /* Decrement the loop counter */ + blkCnt--; + } + } + else + { + /* If the srcBLen is not a multiple of 4, + * the blockSize2 loop cannot be unrolled by 4 */ + blkCnt = blockSize2; + + while (blkCnt > 0U) + { + /* Accumulator is made zero for every iteration */ + sum = 0; + + /* Loop over srcBLen */ + k = srcBLen; + + while (k > 0U) + { + /* Perform the multiply-accumulate */ + sum += ((q31_t) * px++ * *py++); + + /* Decrement the loop counter */ + k--; + } + + /* Store the result in the accumulator in the destination buffer. */ + *pOut = (q15_t) (sum >> 15); + /* Destination pointer is updated according to the address modifier, inc */ + pOut += inc; + + /* Increment the MAC count */ + count++; + + /* Update the inputA and inputB pointers for next MAC calculation */ + px = pIn1 + count; + py = pIn2; + + /* Decrement the loop counter */ + blkCnt--; + } + } + + /* -------------------------- + * Initializations of stage3 + * -------------------------*/ + + /* sum += x[srcALen-srcBLen+1] * y[0] + x[srcALen-srcBLen+2] * y[1] +...+ x[srcALen-1] * y[srcBLen-1] + * sum += x[srcALen-srcBLen+2] * y[0] + x[srcALen-srcBLen+3] * y[1] +...+ x[srcALen-1] * y[srcBLen-1] + * .... + * sum += x[srcALen-2] * y[0] + x[srcALen-1] * y[1] + * sum += x[srcALen-1] * y[0] + */ + + /* In this stage the MAC operations are decreased by 1 for every iteration. + The count variable holds the number of MAC operations performed */ + count = srcBLen - 1U; + + /* Working pointer of inputA */ + pSrc1 = (pIn1 + srcALen) - (srcBLen - 1U); + px = pSrc1; + + /* Working pointer of inputB */ + py = pIn2; + + /* ------------------- + * Stage3 process + * ------------------*/ + + while (blockSize3 > 0U) + { + /* Accumulator is made zero for every iteration */ + sum = 0; + + /* Apply loop unrolling and compute 4 MACs simultaneously. */ + k = count >> 2U; + + /* First part of the processing with loop unrolling. Compute 4 MACs at a time. + ** a second loop below computes MACs for the remaining 1 to 3 samples. */ + while (k > 0U) + { + /* Perform the multiply-accumulates */ + sum += ((q31_t) * px++ * *py++); + sum += ((q31_t) * px++ * *py++); + sum += ((q31_t) * px++ * *py++); + sum += ((q31_t) * px++ * *py++); + + /* Decrement the loop counter */ + k--; + } + + /* If the count is not a multiple of 4, compute any remaining MACs here. + ** No loop unrolling is used. */ + k = count % 0x4U; + + while (k > 0U) + { + /* Perform the multiply-accumulates */ + sum += ((q31_t) * px++ * *py++); + + /* Decrement the loop counter */ + k--; + } + + /* Store the result in the accumulator in the destination buffer. */ + *pOut = (q15_t) (sum >> 15); + /* Destination pointer is updated according to the address modifier, inc */ + pOut += inc; + + /* Update the inputA and inputB pointers for next MAC calculation */ + px = ++pSrc1; + py = pIn2; + + /* Decrement the MAC count */ + count--; + + /* Decrement the loop counter */ + blockSize3--; + } + +#endif /* #ifndef UNALIGNED_SUPPORT_DISABLE */ + +} + +/** + * @} end of Corr group + */ diff --git a/fw/hid-dials/Drivers/CMSIS/DSP/Source/FilteringFunctions/arm_correlate_fast_q31.c b/fw/hid-dials/Drivers/CMSIS/DSP/Source/FilteringFunctions/arm_correlate_fast_q31.c new file mode 100644 index 0000000..53373ac --- /dev/null +++ b/fw/hid-dials/Drivers/CMSIS/DSP/Source/FilteringFunctions/arm_correlate_fast_q31.c @@ -0,0 +1,600 @@ +/* ---------------------------------------------------------------------- + * Project: CMSIS DSP Library + * Title: arm_correlate_fast_q31.c + * Description: Fast Q31 Correlation + * + * $Date: 27. January 2017 + * $Revision: V.1.5.1 + * + * Target Processor: Cortex-M cores + * -------------------------------------------------------------------- */ +/* + * Copyright (C) 2010-2017 ARM Limited or its affiliates. All rights reserved. + * + * SPDX-License-Identifier: Apache-2.0 + * + * Licensed under the Apache License, Version 2.0 (the License); you may + * not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an AS IS BASIS, WITHOUT + * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ + +#include "arm_math.h" + +/** + * @ingroup groupFilters + */ + +/** + * @addtogroup Corr + * @{ + */ + +/** + * @brief Correlation of Q31 sequences (fast version) for Cortex-M3 and Cortex-M4. + * @param[in] *pSrcA points to the first input sequence. + * @param[in] srcALen length of the first input sequence. + * @param[in] *pSrcB points to the second input sequence. + * @param[in] srcBLen length of the second input sequence. + * @param[out] *pDst points to the location where the output result is written. Length 2 * max(srcALen, srcBLen) - 1. + * @return none. + * + * @details + * Scaling and Overflow Behavior: + * + * \par + * This function is optimized for speed at the expense of fixed-point precision and overflow protection. + * The result of each 1.31 x 1.31 multiplication is truncated to 2.30 format. + * These intermediate results are accumulated in a 32-bit register in 2.30 format. + * Finally, the accumulator is saturated and converted to a 1.31 result. + * + * \par + * The fast version has the same overflow behavior as the standard version but provides less precision since it discards the low 32 bits of each multiplication result. + * In order to avoid overflows completely the input signals must be scaled down. + * The input signals should be scaled down to avoid intermediate overflows. + * Scale down one of the inputs by 1/min(srcALen, srcBLen)to avoid overflows since a + * maximum of min(srcALen, srcBLen) number of additions is carried internally. + * + * \par + * See arm_correlate_q31() for a slower implementation of this function which uses 64-bit accumulation to provide higher precision. + */ + +void arm_correlate_fast_q31( + q31_t * pSrcA, + uint32_t srcALen, + q31_t * pSrcB, + uint32_t srcBLen, + q31_t * pDst) +{ + q31_t *pIn1; /* inputA pointer */ + q31_t *pIn2; /* inputB pointer */ + q31_t *pOut = pDst; /* output pointer */ + q31_t *px; /* Intermediate inputA pointer */ + q31_t *py; /* Intermediate inputB pointer */ + q31_t *pSrc1; /* Intermediate pointers */ + q31_t sum, acc0, acc1, acc2, acc3; /* Accumulators */ + q31_t x0, x1, x2, x3, c0; /* temporary variables for holding input and coefficient values */ + uint32_t j, k = 0U, count, blkCnt, outBlockSize, blockSize1, blockSize2, blockSize3; /* loop counter */ + int32_t inc = 1; /* Destination address modifier */ + + + /* The algorithm implementation is based on the lengths of the inputs. */ + /* srcB is always made to slide across srcA. */ + /* So srcBLen is always considered as shorter or equal to srcALen */ + if (srcALen >= srcBLen) + { + /* Initialization of inputA pointer */ + pIn1 = (pSrcA); + + /* Initialization of inputB pointer */ + pIn2 = (pSrcB); + + /* Number of output samples is calculated */ + outBlockSize = (2U * srcALen) - 1U; + + /* When srcALen > srcBLen, zero padding is done to srcB + * to make their lengths equal. + * Instead, (outBlockSize - (srcALen + srcBLen - 1)) + * number of output samples are made zero */ + j = outBlockSize - (srcALen + (srcBLen - 1U)); + + /* Updating the pointer position to non zero value */ + pOut += j; + + } + else + { + /* Initialization of inputA pointer */ + pIn1 = (pSrcB); + + /* Initialization of inputB pointer */ + pIn2 = (pSrcA); + + /* srcBLen is always considered as shorter or equal to srcALen */ + j = srcBLen; + srcBLen = srcALen; + srcALen = j; + + /* CORR(x, y) = Reverse order(CORR(y, x)) */ + /* Hence set the destination pointer to point to the last output sample */ + pOut = pDst + ((srcALen + srcBLen) - 2U); + + /* Destination address modifier is set to -1 */ + inc = -1; + + } + + /* The function is internally + * divided into three parts according to the number of multiplications that has to be + * taken place between inputA samples and inputB samples. In the first part of the + * algorithm, the multiplications increase by one for every iteration. + * In the second part of the algorithm, srcBLen number of multiplications are done. + * In the third part of the algorithm, the multiplications decrease by one + * for every iteration.*/ + /* The algorithm is implemented in three stages. + * The loop counters of each stage is initiated here. */ + blockSize1 = srcBLen - 1U; + blockSize2 = srcALen - (srcBLen - 1U); + blockSize3 = blockSize1; + + /* -------------------------- + * Initializations of stage1 + * -------------------------*/ + + /* sum = x[0] * y[srcBlen - 1] + * sum = x[0] * y[srcBlen - 2] + x[1] * y[srcBlen - 1] + * .... + * sum = x[0] * y[0] + x[1] * y[1] +...+ x[srcBLen - 1] * y[srcBLen - 1] + */ + + /* In this stage the MAC operations are increased by 1 for every iteration. + The count variable holds the number of MAC operations performed */ + count = 1U; + + /* Working pointer of inputA */ + px = pIn1; + + /* Working pointer of inputB */ + pSrc1 = pIn2 + (srcBLen - 1U); + py = pSrc1; + + /* ------------------------ + * Stage1 process + * ----------------------*/ + + /* The first stage starts here */ + while (blockSize1 > 0U) + { + /* Accumulator is made zero for every iteration */ + sum = 0; + + /* Apply loop unrolling and compute 4 MACs simultaneously. */ + k = count >> 2; + + /* First part of the processing with loop unrolling. Compute 4 MACs at a time. + ** a second loop below computes MACs for the remaining 1 to 3 samples. */ + while (k > 0U) + { + /* x[0] * y[srcBLen - 4] */ + sum = (q31_t) ((((q63_t) sum << 32) + + ((q63_t) * px++ * (*py++))) >> 32); + /* x[1] * y[srcBLen - 3] */ + sum = (q31_t) ((((q63_t) sum << 32) + + ((q63_t) * px++ * (*py++))) >> 32); + /* x[2] * y[srcBLen - 2] */ + sum = (q31_t) ((((q63_t) sum << 32) + + ((q63_t) * px++ * (*py++))) >> 32); + /* x[3] * y[srcBLen - 1] */ + sum = (q31_t) ((((q63_t) sum << 32) + + ((q63_t) * px++ * (*py++))) >> 32); + + /* Decrement the loop counter */ + k--; + } + + /* If the count is not a multiple of 4, compute any remaining MACs here. + ** No loop unrolling is used. */ + k = count % 0x4U; + + while (k > 0U) + { + /* Perform the multiply-accumulates */ + /* x[0] * y[srcBLen - 1] */ + sum = (q31_t) ((((q63_t) sum << 32) + + ((q63_t) * px++ * (*py++))) >> 32); + + /* Decrement the loop counter */ + k--; + } + + /* Store the result in the accumulator in the destination buffer. */ + *pOut = sum << 1; + /* Destination pointer is updated according to the address modifier, inc */ + pOut += inc; + + /* Update the inputA and inputB pointers for next MAC calculation */ + py = pSrc1 - count; + px = pIn1; + + /* Increment the MAC count */ + count++; + + /* Decrement the loop counter */ + blockSize1--; + } + + /* -------------------------- + * Initializations of stage2 + * ------------------------*/ + + /* sum = x[0] * y[0] + x[1] * y[1] +...+ x[srcBLen-1] * y[srcBLen-1] + * sum = x[1] * y[0] + x[2] * y[1] +...+ x[srcBLen] * y[srcBLen-1] + * .... + * sum = x[srcALen-srcBLen-2] * y[0] + x[srcALen-srcBLen-1] * y[1] +...+ x[srcALen-1] * y[srcBLen-1] + */ + + /* Working pointer of inputA */ + px = pIn1; + + /* Working pointer of inputB */ + py = pIn2; + + /* count is index by which the pointer pIn1 to be incremented */ + count = 0U; + + /* ------------------- + * Stage2 process + * ------------------*/ + + /* Stage2 depends on srcBLen as in this stage srcBLen number of MACS are performed. + * So, to loop unroll over blockSize2, + * srcBLen should be greater than or equal to 4 */ + if (srcBLen >= 4U) + { + /* Loop unroll over blockSize2, by 4 */ + blkCnt = blockSize2 >> 2U; + + while (blkCnt > 0U) + { + /* Set all accumulators to zero */ + acc0 = 0; + acc1 = 0; + acc2 = 0; + acc3 = 0; + + /* read x[0], x[1], x[2] samples */ + x0 = *(px++); + x1 = *(px++); + x2 = *(px++); + + /* Apply loop unrolling and compute 4 MACs simultaneously. */ + k = srcBLen >> 2U; + + /* First part of the processing with loop unrolling. Compute 4 MACs at a time. + ** a second loop below computes MACs for the remaining 1 to 3 samples. */ + do + { + /* Read y[0] sample */ + c0 = *(py++); + + /* Read x[3] sample */ + x3 = *(px++); + + /* Perform the multiply-accumulate */ + /* acc0 += x[0] * y[0] */ + acc0 = (q31_t) ((((q63_t) acc0 << 32) + ((q63_t) x0 * c0)) >> 32); + /* acc1 += x[1] * y[0] */ + acc1 = (q31_t) ((((q63_t) acc1 << 32) + ((q63_t) x1 * c0)) >> 32); + /* acc2 += x[2] * y[0] */ + acc2 = (q31_t) ((((q63_t) acc2 << 32) + ((q63_t) x2 * c0)) >> 32); + /* acc3 += x[3] * y[0] */ + acc3 = (q31_t) ((((q63_t) acc3 << 32) + ((q63_t) x3 * c0)) >> 32); + + /* Read y[1] sample */ + c0 = *(py++); + + /* Read x[4] sample */ + x0 = *(px++); + + /* Perform the multiply-accumulates */ + /* acc0 += x[1] * y[1] */ + acc0 = (q31_t) ((((q63_t) acc0 << 32) + ((q63_t) x1 * c0)) >> 32); + /* acc1 += x[2] * y[1] */ + acc1 = (q31_t) ((((q63_t) acc1 << 32) + ((q63_t) x2 * c0)) >> 32); + /* acc2 += x[3] * y[1] */ + acc2 = (q31_t) ((((q63_t) acc2 << 32) + ((q63_t) x3 * c0)) >> 32); + /* acc3 += x[4] * y[1] */ + acc3 = (q31_t) ((((q63_t) acc3 << 32) + ((q63_t) x0 * c0)) >> 32); + + /* Read y[2] sample */ + c0 = *(py++); + + /* Read x[5] sample */ + x1 = *(px++); + + /* Perform the multiply-accumulates */ + /* acc0 += x[2] * y[2] */ + acc0 = (q31_t) ((((q63_t) acc0 << 32) + ((q63_t) x2 * c0)) >> 32); + /* acc1 += x[3] * y[2] */ + acc1 = (q31_t) ((((q63_t) acc1 << 32) + ((q63_t) x3 * c0)) >> 32); + /* acc2 += x[4] * y[2] */ + acc2 = (q31_t) ((((q63_t) acc2 << 32) + ((q63_t) x0 * c0)) >> 32); + /* acc3 += x[5] * y[2] */ + acc3 = (q31_t) ((((q63_t) acc3 << 32) + ((q63_t) x1 * c0)) >> 32); + + /* Read y[3] sample */ + c0 = *(py++); + + /* Read x[6] sample */ + x2 = *(px++); + + /* Perform the multiply-accumulates */ + /* acc0 += x[3] * y[3] */ + acc0 = (q31_t) ((((q63_t) acc0 << 32) + ((q63_t) x3 * c0)) >> 32); + /* acc1 += x[4] * y[3] */ + acc1 = (q31_t) ((((q63_t) acc1 << 32) + ((q63_t) x0 * c0)) >> 32); + /* acc2 += x[5] * y[3] */ + acc2 = (q31_t) ((((q63_t) acc2 << 32) + ((q63_t) x1 * c0)) >> 32); + /* acc3 += x[6] * y[3] */ + acc3 = (q31_t) ((((q63_t) acc3 << 32) + ((q63_t) x2 * c0)) >> 32); + + + } while (--k); + + /* If the srcBLen is not a multiple of 4, compute any remaining MACs here. + ** No loop unrolling is used. */ + k = srcBLen % 0x4U; + + while (k > 0U) + { + /* Read y[4] sample */ + c0 = *(py++); + + /* Read x[7] sample */ + x3 = *(px++); + + /* Perform the multiply-accumulates */ + /* acc0 += x[4] * y[4] */ + acc0 = (q31_t) ((((q63_t) acc0 << 32) + ((q63_t) x0 * c0)) >> 32); + /* acc1 += x[5] * y[4] */ + acc1 = (q31_t) ((((q63_t) acc1 << 32) + ((q63_t) x1 * c0)) >> 32); + /* acc2 += x[6] * y[4] */ + acc2 = (q31_t) ((((q63_t) acc2 << 32) + ((q63_t) x2 * c0)) >> 32); + /* acc3 += x[7] * y[4] */ + acc3 = (q31_t) ((((q63_t) acc3 << 32) + ((q63_t) x3 * c0)) >> 32); + + /* Reuse the present samples for the next MAC */ + x0 = x1; + x1 = x2; + x2 = x3; + + /* Decrement the loop counter */ + k--; + } + + /* Store the result in the accumulator in the destination buffer. */ + *pOut = (q31_t) (acc0 << 1); + /* Destination pointer is updated according to the address modifier, inc */ + pOut += inc; + + *pOut = (q31_t) (acc1 << 1); + pOut += inc; + + *pOut = (q31_t) (acc2 << 1); + pOut += inc; + + *pOut = (q31_t) (acc3 << 1); + pOut += inc; + + /* Increment the pointer pIn1 index, count by 4 */ + count += 4U; + + /* Update the inputA and inputB pointers for next MAC calculation */ + px = pIn1 + count; + py = pIn2; + + + /* Decrement the loop counter */ + blkCnt--; + } + + /* If the blockSize2 is not a multiple of 4, compute any remaining output samples here. + ** No loop unrolling is used. */ + blkCnt = blockSize2 % 0x4U; + + while (blkCnt > 0U) + { + /* Accumulator is made zero for every iteration */ + sum = 0; + + /* Apply loop unrolling and compute 4 MACs simultaneously. */ + k = srcBLen >> 2U; + + /* First part of the processing with loop unrolling. Compute 4 MACs at a time. + ** a second loop below computes MACs for the remaining 1 to 3 samples. */ + while (k > 0U) + { + /* Perform the multiply-accumulates */ + sum = (q31_t) ((((q63_t) sum << 32) + + ((q63_t) * px++ * (*py++))) >> 32); + sum = (q31_t) ((((q63_t) sum << 32) + + ((q63_t) * px++ * (*py++))) >> 32); + sum = (q31_t) ((((q63_t) sum << 32) + + ((q63_t) * px++ * (*py++))) >> 32); + sum = (q31_t) ((((q63_t) sum << 32) + + ((q63_t) * px++ * (*py++))) >> 32); + + /* Decrement the loop counter */ + k--; + } + + /* If the srcBLen is not a multiple of 4, compute any remaining MACs here. + ** No loop unrolling is used. */ + k = srcBLen % 0x4U; + + while (k > 0U) + { + /* Perform the multiply-accumulate */ + sum = (q31_t) ((((q63_t) sum << 32) + + ((q63_t) * px++ * (*py++))) >> 32); + + /* Decrement the loop counter */ + k--; + } + + /* Store the result in the accumulator in the destination buffer. */ + *pOut = sum << 1; + /* Destination pointer is updated according to the address modifier, inc */ + pOut += inc; + + /* Increment the MAC count */ + count++; + + /* Update the inputA and inputB pointers for next MAC calculation */ + px = pIn1 + count; + py = pIn2; + + + /* Decrement the loop counter */ + blkCnt--; + } + } + else + { + /* If the srcBLen is not a multiple of 4, + * the blockSize2 loop cannot be unrolled by 4 */ + blkCnt = blockSize2; + + while (blkCnt > 0U) + { + /* Accumulator is made zero for every iteration */ + sum = 0; + + /* Loop over srcBLen */ + k = srcBLen; + + while (k > 0U) + { + /* Perform the multiply-accumulate */ + sum = (q31_t) ((((q63_t) sum << 32) + + ((q63_t) * px++ * (*py++))) >> 32); + + /* Decrement the loop counter */ + k--; + } + + /* Store the result in the accumulator in the destination buffer. */ + *pOut = sum << 1; + /* Destination pointer is updated according to the address modifier, inc */ + pOut += inc; + + /* Increment the MAC count */ + count++; + + /* Update the inputA and inputB pointers for next MAC calculation */ + px = pIn1 + count; + py = pIn2; + + /* Decrement the loop counter */ + blkCnt--; + } + } + + /* -------------------------- + * Initializations of stage3 + * -------------------------*/ + + /* sum += x[srcALen-srcBLen+1] * y[0] + x[srcALen-srcBLen+2] * y[1] +...+ x[srcALen-1] * y[srcBLen-1] + * sum += x[srcALen-srcBLen+2] * y[0] + x[srcALen-srcBLen+3] * y[1] +...+ x[srcALen-1] * y[srcBLen-1] + * .... + * sum += x[srcALen-2] * y[0] + x[srcALen-1] * y[1] + * sum += x[srcALen-1] * y[0] + */ + + /* In this stage the MAC operations are decreased by 1 for every iteration. + The count variable holds the number of MAC operations performed */ + count = srcBLen - 1U; + + /* Working pointer of inputA */ + pSrc1 = ((pIn1 + srcALen) - srcBLen) + 1U; + px = pSrc1; + + /* Working pointer of inputB */ + py = pIn2; + + /* ------------------- + * Stage3 process + * ------------------*/ + + while (blockSize3 > 0U) + { + /* Accumulator is made zero for every iteration */ + sum = 0; + + /* Apply loop unrolling and compute 4 MACs simultaneously. */ + k = count >> 2U; + + /* First part of the processing with loop unrolling. Compute 4 MACs at a time. + ** a second loop below computes MACs for the remaining 1 to 3 samples. */ + while (k > 0U) + { + /* Perform the multiply-accumulates */ + /* sum += x[srcALen - srcBLen + 4] * y[3] */ + sum = (q31_t) ((((q63_t) sum << 32) + + ((q63_t) * px++ * (*py++))) >> 32); + /* sum += x[srcALen - srcBLen + 3] * y[2] */ + sum = (q31_t) ((((q63_t) sum << 32) + + ((q63_t) * px++ * (*py++))) >> 32); + /* sum += x[srcALen - srcBLen + 2] * y[1] */ + sum = (q31_t) ((((q63_t) sum << 32) + + ((q63_t) * px++ * (*py++))) >> 32); + /* sum += x[srcALen - srcBLen + 1] * y[0] */ + sum = (q31_t) ((((q63_t) sum << 32) + + ((q63_t) * px++ * (*py++))) >> 32); + + /* Decrement the loop counter */ + k--; + } + + /* If the count is not a multiple of 4, compute any remaining MACs here. + ** No loop unrolling is used. */ + k = count % 0x4U; + + while (k > 0U) + { + /* Perform the multiply-accumulates */ + sum = (q31_t) ((((q63_t) sum << 32) + + ((q63_t) * px++ * (*py++))) >> 32); + + /* Decrement the loop counter */ + k--; + } + + /* Store the result in the accumulator in the destination buffer. */ + *pOut = sum << 1; + /* Destination pointer is updated according to the address modifier, inc */ + pOut += inc; + + /* Update the inputA and inputB pointers for next MAC calculation */ + px = ++pSrc1; + py = pIn2; + + /* Decrement the MAC count */ + count--; + + /* Decrement the loop counter */ + blockSize3--; + } + +} + +/** + * @} end of Corr group + */ diff --git a/fw/hid-dials/Drivers/CMSIS/DSP/Source/FilteringFunctions/arm_correlate_opt_q15.c b/fw/hid-dials/Drivers/CMSIS/DSP/Source/FilteringFunctions/arm_correlate_opt_q15.c new file mode 100644 index 0000000..c021b05 --- /dev/null +++ b/fw/hid-dials/Drivers/CMSIS/DSP/Source/FilteringFunctions/arm_correlate_opt_q15.c @@ -0,0 +1,501 @@ +/* ---------------------------------------------------------------------- + * Project: CMSIS DSP Library + * Title: arm_correlate_opt_q15.c + * Description: Correlation of Q15 sequences + * + * $Date: 27. January 2017 + * $Revision: V.1.5.1 + * + * Target Processor: Cortex-M cores + * -------------------------------------------------------------------- */ +/* + * Copyright (C) 2010-2017 ARM Limited or its affiliates. All rights reserved. + * + * SPDX-License-Identifier: Apache-2.0 + * + * Licensed under the Apache License, Version 2.0 (the License); you may + * not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an AS IS BASIS, WITHOUT + * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ + +#include "arm_math.h" + +/** + * @ingroup groupFilters + */ + +/** + * @addtogroup Corr + * @{ + */ + +/** + * @brief Correlation of Q15 sequences. + * @param[in] *pSrcA points to the first input sequence. + * @param[in] srcALen length of the first input sequence. + * @param[in] *pSrcB points to the second input sequence. + * @param[in] srcBLen length of the second input sequence. + * @param[out] *pDst points to the location where the output result is written. Length 2 * max(srcALen, srcBLen) - 1. + * @param[in] *pScratch points to scratch buffer of size max(srcALen, srcBLen) + 2*min(srcALen, srcBLen) - 2. + * @return none. + * + * \par Restrictions + * If the silicon does not support unaligned memory access enable the macro UNALIGNED_SUPPORT_DISABLE + * In this case input, output, scratch buffers should be aligned by 32-bit + * + * @details + * Scaling and Overflow Behavior: + * + * \par + * The function is implemented using a 64-bit internal accumulator. + * Both inputs are in 1.15 format and multiplications yield a 2.30 result. + * The 2.30 intermediate results are accumulated in a 64-bit accumulator in 34.30 format. + * This approach provides 33 guard bits and there is no risk of overflow. + * The 34.30 result is then truncated to 34.15 format by discarding the low 15 bits and then saturated to 1.15 format. + * + * \par + * Refer to arm_correlate_fast_q15() for a faster but less precise version of this function for Cortex-M3 and Cortex-M4. + * + * + */ + + +void arm_correlate_opt_q15( + q15_t * pSrcA, + uint32_t srcALen, + q15_t * pSrcB, + uint32_t srcBLen, + q15_t * pDst, + q15_t * pScratch) +{ + q15_t *pIn1; /* inputA pointer */ + q15_t *pIn2; /* inputB pointer */ + q63_t acc0, acc1, acc2, acc3; /* Accumulators */ + q15_t *py; /* Intermediate inputB pointer */ + q31_t x1, x2, x3; /* temporary variables for holding input1 and input2 values */ + uint32_t j, blkCnt, outBlockSize; /* loop counter */ + int32_t inc = 1; /* output pointer increment */ + uint32_t tapCnt; + q31_t y1, y2; + q15_t *pScr; /* Intermediate pointers */ + q15_t *pOut = pDst; /* output pointer */ +#ifdef UNALIGNED_SUPPORT_DISABLE + + q15_t a, b; + +#endif /* #ifndef UNALIGNED_SUPPORT_DISABLE */ + + /* The algorithm implementation is based on the lengths of the inputs. */ + /* srcB is always made to slide across srcA. */ + /* So srcBLen is always considered as shorter or equal to srcALen */ + /* But CORR(x, y) is reverse of CORR(y, x) */ + /* So, when srcBLen > srcALen, output pointer is made to point to the end of the output buffer */ + /* and the destination pointer modifier, inc is set to -1 */ + /* If srcALen > srcBLen, zero pad has to be done to srcB to make the two inputs of same length */ + /* But to improve the performance, + * we include zeroes in the output instead of zero padding either of the the inputs*/ + /* If srcALen > srcBLen, + * (srcALen - srcBLen) zeroes has to included in the starting of the output buffer */ + /* If srcALen < srcBLen, + * (srcALen - srcBLen) zeroes has to included in the ending of the output buffer */ + if (srcALen >= srcBLen) + { + /* Initialization of inputA pointer */ + pIn1 = (pSrcA); + + /* Initialization of inputB pointer */ + pIn2 = (pSrcB); + + /* Number of output samples is calculated */ + outBlockSize = (2U * srcALen) - 1U; + + /* When srcALen > srcBLen, zero padding is done to srcB + * to make their lengths equal. + * Instead, (outBlockSize - (srcALen + srcBLen - 1)) + * number of output samples are made zero */ + j = outBlockSize - (srcALen + (srcBLen - 1U)); + + /* Updating the pointer position to non zero value */ + pOut += j; + + } + else + { + /* Initialization of inputA pointer */ + pIn1 = (pSrcB); + + /* Initialization of inputB pointer */ + pIn2 = (pSrcA); + + /* srcBLen is always considered as shorter or equal to srcALen */ + j = srcBLen; + srcBLen = srcALen; + srcALen = j; + + /* CORR(x, y) = Reverse order(CORR(y, x)) */ + /* Hence set the destination pointer to point to the last output sample */ + pOut = pDst + ((srcALen + srcBLen) - 2U); + + /* Destination address modifier is set to -1 */ + inc = -1; + + } + + pScr = pScratch; + + /* Fill (srcBLen - 1U) zeros in scratch buffer */ + arm_fill_q15(0, pScr, (srcBLen - 1U)); + + /* Update temporary scratch pointer */ + pScr += (srcBLen - 1U); + +#ifndef UNALIGNED_SUPPORT_DISABLE + + /* Copy (srcALen) samples in scratch buffer */ + arm_copy_q15(pIn1, pScr, srcALen); + + /* Update pointers */ + //pIn1 += srcALen; + pScr += srcALen; + +#else + + /* Apply loop unrolling and do 4 Copies simultaneously. */ + j = srcALen >> 2U; + + /* First part of the processing with loop unrolling copies 4 data points at a time. + ** a second loop below copies for the remaining 1 to 3 samples. */ + while (j > 0U) + { + /* copy second buffer in reversal manner */ + *pScr++ = *pIn1++; + *pScr++ = *pIn1++; + *pScr++ = *pIn1++; + *pScr++ = *pIn1++; + + /* Decrement the loop counter */ + j--; + } + + /* If the count is not a multiple of 4, copy remaining samples here. + ** No loop unrolling is used. */ + j = srcALen % 0x4U; + + while (j > 0U) + { + /* copy second buffer in reversal manner for remaining samples */ + *pScr++ = *pIn1++; + + /* Decrement the loop counter */ + j--; + } + +#endif /* #ifndef UNALIGNED_SUPPORT_DISABLE */ + +#ifndef UNALIGNED_SUPPORT_DISABLE + + /* Fill (srcBLen - 1U) zeros at end of scratch buffer */ + arm_fill_q15(0, pScr, (srcBLen - 1U)); + + /* Update pointer */ + pScr += (srcBLen - 1U); + +#else + +/* Apply loop unrolling and do 4 Copies simultaneously. */ + j = (srcBLen - 1U) >> 2U; + + /* First part of the processing with loop unrolling copies 4 data points at a time. + ** a second loop below copies for the remaining 1 to 3 samples. */ + while (j > 0U) + { + /* copy second buffer in reversal manner */ + *pScr++ = 0; + *pScr++ = 0; + *pScr++ = 0; + *pScr++ = 0; + + /* Decrement the loop counter */ + j--; + } + + /* If the count is not a multiple of 4, copy remaining samples here. + ** No loop unrolling is used. */ + j = (srcBLen - 1U) % 0x4U; + + while (j > 0U) + { + /* copy second buffer in reversal manner for remaining samples */ + *pScr++ = 0; + + /* Decrement the loop counter */ + j--; + } + +#endif /* #ifndef UNALIGNED_SUPPORT_DISABLE */ + + /* Temporary pointer for scratch2 */ + py = pIn2; + + + /* Actual correlation process starts here */ + blkCnt = (srcALen + srcBLen - 1U) >> 2; + + while (blkCnt > 0) + { + /* Initialze temporary scratch pointer as scratch1 */ + pScr = pScratch; + + /* Clear Accumlators */ + acc0 = 0; + acc1 = 0; + acc2 = 0; + acc3 = 0; + + /* Read four samples from scratch1 buffer */ + x1 = *__SIMD32(pScr)++; + + /* Read next four samples from scratch1 buffer */ + x2 = *__SIMD32(pScr)++; + + tapCnt = (srcBLen) >> 2U; + + while (tapCnt > 0U) + { + +#ifndef UNALIGNED_SUPPORT_DISABLE + + /* Read four samples from smaller buffer */ + y1 = _SIMD32_OFFSET(pIn2); + y2 = _SIMD32_OFFSET(pIn2 + 2U); + + acc0 = __SMLALD(x1, y1, acc0); + + acc2 = __SMLALD(x2, y1, acc2); + +#ifndef ARM_MATH_BIG_ENDIAN + x3 = __PKHBT(x2, x1, 0); +#else + x3 = __PKHBT(x1, x2, 0); +#endif + + acc1 = __SMLALDX(x3, y1, acc1); + + x1 = _SIMD32_OFFSET(pScr); + + acc0 = __SMLALD(x2, y2, acc0); + + acc2 = __SMLALD(x1, y2, acc2); + +#ifndef ARM_MATH_BIG_ENDIAN + x3 = __PKHBT(x1, x2, 0); +#else + x3 = __PKHBT(x2, x1, 0); +#endif + + acc3 = __SMLALDX(x3, y1, acc3); + + acc1 = __SMLALDX(x3, y2, acc1); + + x2 = _SIMD32_OFFSET(pScr + 2U); + +#ifndef ARM_MATH_BIG_ENDIAN + x3 = __PKHBT(x2, x1, 0); +#else + x3 = __PKHBT(x1, x2, 0); +#endif + + acc3 = __SMLALDX(x3, y2, acc3); + +#else + + /* Read four samples from smaller buffer */ + a = *pIn2; + b = *(pIn2 + 1); + +#ifndef ARM_MATH_BIG_ENDIAN + y1 = __PKHBT(a, b, 16); +#else + y1 = __PKHBT(b, a, 16); +#endif + + a = *(pIn2 + 2); + b = *(pIn2 + 3); +#ifndef ARM_MATH_BIG_ENDIAN + y2 = __PKHBT(a, b, 16); +#else + y2 = __PKHBT(b, a, 16); +#endif + + acc0 = __SMLALD(x1, y1, acc0); + + acc2 = __SMLALD(x2, y1, acc2); + +#ifndef ARM_MATH_BIG_ENDIAN + x3 = __PKHBT(x2, x1, 0); +#else + x3 = __PKHBT(x1, x2, 0); +#endif + + acc1 = __SMLALDX(x3, y1, acc1); + + a = *pScr; + b = *(pScr + 1); + +#ifndef ARM_MATH_BIG_ENDIAN + x1 = __PKHBT(a, b, 16); +#else + x1 = __PKHBT(b, a, 16); +#endif + + acc0 = __SMLALD(x2, y2, acc0); + + acc2 = __SMLALD(x1, y2, acc2); + +#ifndef ARM_MATH_BIG_ENDIAN + x3 = __PKHBT(x1, x2, 0); +#else + x3 = __PKHBT(x2, x1, 0); +#endif + + acc3 = __SMLALDX(x3, y1, acc3); + + acc1 = __SMLALDX(x3, y2, acc1); + + a = *(pScr + 2); + b = *(pScr + 3); + +#ifndef ARM_MATH_BIG_ENDIAN + x2 = __PKHBT(a, b, 16); +#else + x2 = __PKHBT(b, a, 16); +#endif + +#ifndef ARM_MATH_BIG_ENDIAN + x3 = __PKHBT(x2, x1, 0); +#else + x3 = __PKHBT(x1, x2, 0); +#endif + + acc3 = __SMLALDX(x3, y2, acc3); + +#endif /* #ifndef UNALIGNED_SUPPORT_DISABLE */ + + pIn2 += 4U; + + pScr += 4U; + + + /* Decrement the loop counter */ + tapCnt--; + } + + + + /* Update scratch pointer for remaining samples of smaller length sequence */ + pScr -= 4U; + + + /* apply same above for remaining samples of smaller length sequence */ + tapCnt = (srcBLen) & 3U; + + while (tapCnt > 0U) + { + + /* accumlate the results */ + acc0 += (*pScr++ * *pIn2); + acc1 += (*pScr++ * *pIn2); + acc2 += (*pScr++ * *pIn2); + acc3 += (*pScr++ * *pIn2++); + + pScr -= 3U; + + /* Decrement the loop counter */ + tapCnt--; + } + + blkCnt--; + + + /* Store the results in the accumulators in the destination buffer. */ + *pOut = (__SSAT(acc0 >> 15U, 16)); + pOut += inc; + *pOut = (__SSAT(acc1 >> 15U, 16)); + pOut += inc; + *pOut = (__SSAT(acc2 >> 15U, 16)); + pOut += inc; + *pOut = (__SSAT(acc3 >> 15U, 16)); + pOut += inc; + + /* Initialization of inputB pointer */ + pIn2 = py; + + pScratch += 4U; + + } + + + blkCnt = (srcALen + srcBLen - 1U) & 0x3; + + /* Calculate correlation for remaining samples of Bigger length sequence */ + while (blkCnt > 0) + { + /* Initialze temporary scratch pointer as scratch1 */ + pScr = pScratch; + + /* Clear Accumlators */ + acc0 = 0; + + tapCnt = (srcBLen) >> 1U; + + while (tapCnt > 0U) + { + + acc0 += (*pScr++ * *pIn2++); + acc0 += (*pScr++ * *pIn2++); + + /* Decrement the loop counter */ + tapCnt--; + } + + tapCnt = (srcBLen) & 1U; + + /* apply same above for remaining samples of smaller length sequence */ + while (tapCnt > 0U) + { + + /* accumlate the results */ + acc0 += (*pScr++ * *pIn2++); + + /* Decrement the loop counter */ + tapCnt--; + } + + blkCnt--; + + /* Store the result in the accumulator in the destination buffer. */ + *pOut = (q15_t) (__SSAT((acc0 >> 15), 16)); + + pOut += inc; + + /* Initialization of inputB pointer */ + pIn2 = py; + + pScratch += 1U; + + } + + +} + +/** + * @} end of Corr group + */ diff --git a/fw/hid-dials/Drivers/CMSIS/DSP/Source/FilteringFunctions/arm_correlate_opt_q7.c b/fw/hid-dials/Drivers/CMSIS/DSP/Source/FilteringFunctions/arm_correlate_opt_q7.c new file mode 100644 index 0000000..dbffd5d --- /dev/null +++ b/fw/hid-dials/Drivers/CMSIS/DSP/Source/FilteringFunctions/arm_correlate_opt_q7.c @@ -0,0 +1,452 @@ +/* ---------------------------------------------------------------------- + * Project: CMSIS DSP Library + * Title: arm_correlate_opt_q7.c + * Description: Correlation of Q7 sequences + * + * $Date: 27. January 2017 + * $Revision: V.1.5.1 + * + * Target Processor: Cortex-M cores + * -------------------------------------------------------------------- */ +/* + * Copyright (C) 2010-2017 ARM Limited or its affiliates. All rights reserved. + * + * SPDX-License-Identifier: Apache-2.0 + * + * Licensed under the Apache License, Version 2.0 (the License); you may + * not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an AS IS BASIS, WITHOUT + * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ + +#include "arm_math.h" + +/** + * @ingroup groupFilters + */ + +/** + * @addtogroup Corr + * @{ + */ + +/** + * @brief Correlation of Q7 sequences. + * @param[in] *pSrcA points to the first input sequence. + * @param[in] srcALen length of the first input sequence. + * @param[in] *pSrcB points to the second input sequence. + * @param[in] srcBLen length of the second input sequence. + * @param[out] *pDst points to the location where the output result is written. Length 2 * max(srcALen, srcBLen) - 1. + * @param[in] *pScratch1 points to scratch buffer(of type q15_t) of size max(srcALen, srcBLen) + 2*min(srcALen, srcBLen) - 2. + * @param[in] *pScratch2 points to scratch buffer (of type q15_t) of size min(srcALen, srcBLen). + * @return none. + * + * + * \par Restrictions + * If the silicon does not support unaligned memory access enable the macro UNALIGNED_SUPPORT_DISABLE + * In this case input, output, scratch1 and scratch2 buffers should be aligned by 32-bit + * + * @details + * Scaling and Overflow Behavior: + * + * \par + * The function is implemented using a 32-bit internal accumulator. + * Both the inputs are represented in 1.7 format and multiplications yield a 2.14 result. + * The 2.14 intermediate results are accumulated in a 32-bit accumulator in 18.14 format. + * This approach provides 17 guard bits and there is no risk of overflow as long as max(srcALen, srcBLen)<131072. + * The 18.14 result is then truncated to 18.7 format by discarding the low 7 bits and saturated to 1.7 format. + * + * + */ + + + +void arm_correlate_opt_q7( + q7_t * pSrcA, + uint32_t srcALen, + q7_t * pSrcB, + uint32_t srcBLen, + q7_t * pDst, + q15_t * pScratch1, + q15_t * pScratch2) +{ + q7_t *pOut = pDst; /* output pointer */ + q15_t *pScr1 = pScratch1; /* Temporary pointer for scratch */ + q15_t *pScr2 = pScratch2; /* Temporary pointer for scratch */ + q7_t *pIn1; /* inputA pointer */ + q7_t *pIn2; /* inputB pointer */ + q15_t *py; /* Intermediate inputB pointer */ + q31_t acc0, acc1, acc2, acc3; /* Accumulators */ + uint32_t j, k = 0U, blkCnt; /* loop counter */ + int32_t inc = 1; /* output pointer increment */ + uint32_t outBlockSize; /* loop counter */ + q15_t x4; /* Temporary input variable */ + uint32_t tapCnt; /* loop counter */ + q31_t x1, x2, x3, y1; /* Temporary input variables */ + + /* The algorithm implementation is based on the lengths of the inputs. */ + /* srcB is always made to slide across srcA. */ + /* So srcBLen is always considered as shorter or equal to srcALen */ + /* But CORR(x, y) is reverse of CORR(y, x) */ + /* So, when srcBLen > srcALen, output pointer is made to point to the end of the output buffer */ + /* and the destination pointer modifier, inc is set to -1 */ + /* If srcALen > srcBLen, zero pad has to be done to srcB to make the two inputs of same length */ + /* But to improve the performance, + * we include zeroes in the output instead of zero padding either of the the inputs*/ + /* If srcALen > srcBLen, + * (srcALen - srcBLen) zeroes has to included in the starting of the output buffer */ + /* If srcALen < srcBLen, + * (srcALen - srcBLen) zeroes has to included in the ending of the output buffer */ + if (srcALen >= srcBLen) + { + /* Initialization of inputA pointer */ + pIn1 = (pSrcA); + + /* Initialization of inputB pointer */ + pIn2 = (pSrcB); + + /* Number of output samples is calculated */ + outBlockSize = (2U * srcALen) - 1U; + + /* When srcALen > srcBLen, zero padding is done to srcB + * to make their lengths equal. + * Instead, (outBlockSize - (srcALen + srcBLen - 1)) + * number of output samples are made zero */ + j = outBlockSize - (srcALen + (srcBLen - 1U)); + + /* Updating the pointer position to non zero value */ + pOut += j; + + } + else + { + /* Initialization of inputA pointer */ + pIn1 = (pSrcB); + + /* Initialization of inputB pointer */ + pIn2 = (pSrcA); + + /* srcBLen is always considered as shorter or equal to srcALen */ + j = srcBLen; + srcBLen = srcALen; + srcALen = j; + + /* CORR(x, y) = Reverse order(CORR(y, x)) */ + /* Hence set the destination pointer to point to the last output sample */ + pOut = pDst + ((srcALen + srcBLen) - 2U); + + /* Destination address modifier is set to -1 */ + inc = -1; + + } + + + /* Copy (srcBLen) samples in scratch buffer */ + k = srcBLen >> 2U; + + /* First part of the processing with loop unrolling copies 4 data points at a time. + ** a second loop below copies for the remaining 1 to 3 samples. */ + while (k > 0U) + { + /* copy second buffer in reversal manner */ + x4 = (q15_t) * pIn2++; + *pScr2++ = x4; + x4 = (q15_t) * pIn2++; + *pScr2++ = x4; + x4 = (q15_t) * pIn2++; + *pScr2++ = x4; + x4 = (q15_t) * pIn2++; + *pScr2++ = x4; + + /* Decrement the loop counter */ + k--; + } + + /* If the count is not a multiple of 4, copy remaining samples here. + ** No loop unrolling is used. */ + k = srcBLen % 0x4U; + + while (k > 0U) + { + /* copy second buffer in reversal manner for remaining samples */ + x4 = (q15_t) * pIn2++; + *pScr2++ = x4; + + /* Decrement the loop counter */ + k--; + } + + /* Fill (srcBLen - 1U) zeros in scratch buffer */ + arm_fill_q15(0, pScr1, (srcBLen - 1U)); + + /* Update temporary scratch pointer */ + pScr1 += (srcBLen - 1U); + + /* Copy (srcALen) samples in scratch buffer */ + k = srcALen >> 2U; + + /* First part of the processing with loop unrolling copies 4 data points at a time. + ** a second loop below copies for the remaining 1 to 3 samples. */ + while (k > 0U) + { + /* copy second buffer in reversal manner */ + x4 = (q15_t) * pIn1++; + *pScr1++ = x4; + x4 = (q15_t) * pIn1++; + *pScr1++ = x4; + x4 = (q15_t) * pIn1++; + *pScr1++ = x4; + x4 = (q15_t) * pIn1++; + *pScr1++ = x4; + + /* Decrement the loop counter */ + k--; + } + + /* If the count is not a multiple of 4, copy remaining samples here. + ** No loop unrolling is used. */ + k = srcALen % 0x4U; + + while (k > 0U) + { + /* copy second buffer in reversal manner for remaining samples */ + x4 = (q15_t) * pIn1++; + *pScr1++ = x4; + + /* Decrement the loop counter */ + k--; + } + +#ifndef UNALIGNED_SUPPORT_DISABLE + + /* Fill (srcBLen - 1U) zeros at end of scratch buffer */ + arm_fill_q15(0, pScr1, (srcBLen - 1U)); + + /* Update pointer */ + pScr1 += (srcBLen - 1U); + +#else + +/* Apply loop unrolling and do 4 Copies simultaneously. */ + k = (srcBLen - 1U) >> 2U; + + /* First part of the processing with loop unrolling copies 4 data points at a time. + ** a second loop below copies for the remaining 1 to 3 samples. */ + while (k > 0U) + { + /* copy second buffer in reversal manner */ + *pScr1++ = 0; + *pScr1++ = 0; + *pScr1++ = 0; + *pScr1++ = 0; + + /* Decrement the loop counter */ + k--; + } + + /* If the count is not a multiple of 4, copy remaining samples here. + ** No loop unrolling is used. */ + k = (srcBLen - 1U) % 0x4U; + + while (k > 0U) + { + /* copy second buffer in reversal manner for remaining samples */ + *pScr1++ = 0; + + /* Decrement the loop counter */ + k--; + } + +#endif /* #ifndef UNALIGNED_SUPPORT_DISABLE */ + + /* Temporary pointer for second sequence */ + py = pScratch2; + + /* Initialization of pScr2 pointer */ + pScr2 = pScratch2; + + /* Actual correlation process starts here */ + blkCnt = (srcALen + srcBLen - 1U) >> 2; + + while (blkCnt > 0) + { + /* Initialze temporary scratch pointer as scratch1 */ + pScr1 = pScratch1; + + /* Clear Accumlators */ + acc0 = 0; + acc1 = 0; + acc2 = 0; + acc3 = 0; + + /* Read two samples from scratch1 buffer */ + x1 = *__SIMD32(pScr1)++; + + /* Read next two samples from scratch1 buffer */ + x2 = *__SIMD32(pScr1)++; + + tapCnt = (srcBLen) >> 2U; + + while (tapCnt > 0U) + { + + /* Read four samples from smaller buffer */ + y1 = _SIMD32_OFFSET(pScr2); + + /* multiply and accumlate */ + acc0 = __SMLAD(x1, y1, acc0); + acc2 = __SMLAD(x2, y1, acc2); + + /* pack input data */ +#ifndef ARM_MATH_BIG_ENDIAN + x3 = __PKHBT(x2, x1, 0); +#else + x3 = __PKHBT(x1, x2, 0); +#endif + + /* multiply and accumlate */ + acc1 = __SMLADX(x3, y1, acc1); + + /* Read next two samples from scratch1 buffer */ + x1 = *__SIMD32(pScr1)++; + + /* pack input data */ +#ifndef ARM_MATH_BIG_ENDIAN + x3 = __PKHBT(x1, x2, 0); +#else + x3 = __PKHBT(x2, x1, 0); +#endif + + acc3 = __SMLADX(x3, y1, acc3); + + /* Read four samples from smaller buffer */ + y1 = _SIMD32_OFFSET(pScr2 + 2U); + + acc0 = __SMLAD(x2, y1, acc0); + + acc2 = __SMLAD(x1, y1, acc2); + + acc1 = __SMLADX(x3, y1, acc1); + + x2 = *__SIMD32(pScr1)++; + +#ifndef ARM_MATH_BIG_ENDIAN + x3 = __PKHBT(x2, x1, 0); +#else + x3 = __PKHBT(x1, x2, 0); +#endif + + acc3 = __SMLADX(x3, y1, acc3); + + pScr2 += 4U; + + + /* Decrement the loop counter */ + tapCnt--; + } + + + + /* Update scratch pointer for remaining samples of smaller length sequence */ + pScr1 -= 4U; + + + /* apply same above for remaining samples of smaller length sequence */ + tapCnt = (srcBLen) & 3U; + + while (tapCnt > 0U) + { + + /* accumlate the results */ + acc0 += (*pScr1++ * *pScr2); + acc1 += (*pScr1++ * *pScr2); + acc2 += (*pScr1++ * *pScr2); + acc3 += (*pScr1++ * *pScr2++); + + pScr1 -= 3U; + + /* Decrement the loop counter */ + tapCnt--; + } + + blkCnt--; + + /* Store the result in the accumulator in the destination buffer. */ + *pOut = (q7_t) (__SSAT(acc0 >> 7U, 8)); + pOut += inc; + *pOut = (q7_t) (__SSAT(acc1 >> 7U, 8)); + pOut += inc; + *pOut = (q7_t) (__SSAT(acc2 >> 7U, 8)); + pOut += inc; + *pOut = (q7_t) (__SSAT(acc3 >> 7U, 8)); + pOut += inc; + + /* Initialization of inputB pointer */ + pScr2 = py; + + pScratch1 += 4U; + + } + + + blkCnt = (srcALen + srcBLen - 1U) & 0x3; + + /* Calculate correlation for remaining samples of Bigger length sequence */ + while (blkCnt > 0) + { + /* Initialze temporary scratch pointer as scratch1 */ + pScr1 = pScratch1; + + /* Clear Accumlators */ + acc0 = 0; + + tapCnt = (srcBLen) >> 1U; + + while (tapCnt > 0U) + { + acc0 += (*pScr1++ * *pScr2++); + acc0 += (*pScr1++ * *pScr2++); + + /* Decrement the loop counter */ + tapCnt--; + } + + tapCnt = (srcBLen) & 1U; + + /* apply same above for remaining samples of smaller length sequence */ + while (tapCnt > 0U) + { + + /* accumlate the results */ + acc0 += (*pScr1++ * *pScr2++); + + /* Decrement the loop counter */ + tapCnt--; + } + + blkCnt--; + + /* Store the result in the accumulator in the destination buffer. */ + *pOut = (q7_t) (__SSAT(acc0 >> 7U, 8)); + + pOut += inc; + + /* Initialization of inputB pointer */ + pScr2 = py; + + pScratch1 += 1U; + + } + +} + +/** + * @} end of Corr group + */ diff --git a/fw/hid-dials/Drivers/CMSIS/DSP/Source/FilteringFunctions/arm_correlate_q15.c b/fw/hid-dials/Drivers/CMSIS/DSP/Source/FilteringFunctions/arm_correlate_q15.c new file mode 100644 index 0000000..fdff6db --- /dev/null +++ b/fw/hid-dials/Drivers/CMSIS/DSP/Source/FilteringFunctions/arm_correlate_q15.c @@ -0,0 +1,707 @@ +/* ---------------------------------------------------------------------- + * Project: CMSIS DSP Library + * Title: arm_correlate_q15.c + * Description: Correlation of Q15 sequences + * + * $Date: 27. January 2017 + * $Revision: V.1.5.1 + * + * Target Processor: Cortex-M cores + * -------------------------------------------------------------------- */ +/* + * Copyright (C) 2010-2017 ARM Limited or its affiliates. All rights reserved. + * + * SPDX-License-Identifier: Apache-2.0 + * + * Licensed under the Apache License, Version 2.0 (the License); you may + * not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an AS IS BASIS, WITHOUT + * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ + +#include "arm_math.h" + +/** + * @ingroup groupFilters + */ + +/** + * @addtogroup Corr + * @{ + */ + +/** + * @brief Correlation of Q15 sequences. + * @param[in] *pSrcA points to the first input sequence. + * @param[in] srcALen length of the first input sequence. + * @param[in] *pSrcB points to the second input sequence. + * @param[in] srcBLen length of the second input sequence. + * @param[out] *pDst points to the location where the output result is written. Length 2 * max(srcALen, srcBLen) - 1. + * @return none. + * + * @details + * Scaling and Overflow Behavior: + * + * \par + * The function is implemented using a 64-bit internal accumulator. + * Both inputs are in 1.15 format and multiplications yield a 2.30 result. + * The 2.30 intermediate results are accumulated in a 64-bit accumulator in 34.30 format. + * This approach provides 33 guard bits and there is no risk of overflow. + * The 34.30 result is then truncated to 34.15 format by discarding the low 15 bits and then saturated to 1.15 format. + * + * \par + * Refer to arm_correlate_fast_q15() for a faster but less precise version of this function for Cortex-M3 and Cortex-M4. + * + * \par + * Refer the function arm_correlate_opt_q15() for a faster implementation of this function using scratch buffers. + * + */ + +void arm_correlate_q15( + q15_t * pSrcA, + uint32_t srcALen, + q15_t * pSrcB, + uint32_t srcBLen, + q15_t * pDst) +{ + +#if (defined(ARM_MATH_CM7) || defined(ARM_MATH_CM4) || defined(ARM_MATH_CM3)) && !defined(UNALIGNED_SUPPORT_DISABLE) + + /* Run the below code for Cortex-M4 and Cortex-M3 */ + + q15_t *pIn1; /* inputA pointer */ + q15_t *pIn2; /* inputB pointer */ + q15_t *pOut = pDst; /* output pointer */ + q63_t sum, acc0, acc1, acc2, acc3; /* Accumulators */ + q15_t *px; /* Intermediate inputA pointer */ + q15_t *py; /* Intermediate inputB pointer */ + q15_t *pSrc1; /* Intermediate pointers */ + q31_t x0, x1, x2, x3, c0; /* temporary variables for holding input and coefficient values */ + uint32_t j, k = 0U, count, blkCnt, outBlockSize, blockSize1, blockSize2, blockSize3; /* loop counter */ + int32_t inc = 1; /* Destination address modifier */ + + + /* The algorithm implementation is based on the lengths of the inputs. */ + /* srcB is always made to slide across srcA. */ + /* So srcBLen is always considered as shorter or equal to srcALen */ + /* But CORR(x, y) is reverse of CORR(y, x) */ + /* So, when srcBLen > srcALen, output pointer is made to point to the end of the output buffer */ + /* and the destination pointer modifier, inc is set to -1 */ + /* If srcALen > srcBLen, zero pad has to be done to srcB to make the two inputs of same length */ + /* But to improve the performance, + * we include zeroes in the output instead of zero padding either of the the inputs*/ + /* If srcALen > srcBLen, + * (srcALen - srcBLen) zeroes has to included in the starting of the output buffer */ + /* If srcALen < srcBLen, + * (srcALen - srcBLen) zeroes has to included in the ending of the output buffer */ + if (srcALen >= srcBLen) + { + /* Initialization of inputA pointer */ + pIn1 = (pSrcA); + + /* Initialization of inputB pointer */ + pIn2 = (pSrcB); + + /* Number of output samples is calculated */ + outBlockSize = (2U * srcALen) - 1U; + + /* When srcALen > srcBLen, zero padding is done to srcB + * to make their lengths equal. + * Instead, (outBlockSize - (srcALen + srcBLen - 1)) + * number of output samples are made zero */ + j = outBlockSize - (srcALen + (srcBLen - 1U)); + + /* Updating the pointer position to non zero value */ + pOut += j; + + } + else + { + /* Initialization of inputA pointer */ + pIn1 = (pSrcB); + + /* Initialization of inputB pointer */ + pIn2 = (pSrcA); + + /* srcBLen is always considered as shorter or equal to srcALen */ + j = srcBLen; + srcBLen = srcALen; + srcALen = j; + + /* CORR(x, y) = Reverse order(CORR(y, x)) */ + /* Hence set the destination pointer to point to the last output sample */ + pOut = pDst + ((srcALen + srcBLen) - 2U); + + /* Destination address modifier is set to -1 */ + inc = -1; + + } + + /* The function is internally + * divided into three parts according to the number of multiplications that has to be + * taken place between inputA samples and inputB samples. In the first part of the + * algorithm, the multiplications increase by one for every iteration. + * In the second part of the algorithm, srcBLen number of multiplications are done. + * In the third part of the algorithm, the multiplications decrease by one + * for every iteration.*/ + /* The algorithm is implemented in three stages. + * The loop counters of each stage is initiated here. */ + blockSize1 = srcBLen - 1U; + blockSize2 = srcALen - (srcBLen - 1U); + blockSize3 = blockSize1; + + /* -------------------------- + * Initializations of stage1 + * -------------------------*/ + + /* sum = x[0] * y[srcBlen - 1] + * sum = x[0] * y[srcBlen - 2] + x[1] * y[srcBlen - 1] + * .... + * sum = x[0] * y[0] + x[1] * y[1] +...+ x[srcBLen - 1] * y[srcBLen - 1] + */ + + /* In this stage the MAC operations are increased by 1 for every iteration. + The count variable holds the number of MAC operations performed */ + count = 1U; + + /* Working pointer of inputA */ + px = pIn1; + + /* Working pointer of inputB */ + pSrc1 = pIn2 + (srcBLen - 1U); + py = pSrc1; + + /* ------------------------ + * Stage1 process + * ----------------------*/ + + /* The first loop starts here */ + while (blockSize1 > 0U) + { + /* Accumulator is made zero for every iteration */ + sum = 0; + + /* Apply loop unrolling and compute 4 MACs simultaneously. */ + k = count >> 2; + + /* First part of the processing with loop unrolling. Compute 4 MACs at a time. + ** a second loop below computes MACs for the remaining 1 to 3 samples. */ + while (k > 0U) + { + /* x[0] * y[srcBLen - 4] , x[1] * y[srcBLen - 3] */ + sum = __SMLALD(*__SIMD32(px)++, *__SIMD32(py)++, sum); + /* x[3] * y[srcBLen - 1] , x[2] * y[srcBLen - 2] */ + sum = __SMLALD(*__SIMD32(px)++, *__SIMD32(py)++, sum); + + /* Decrement the loop counter */ + k--; + } + + /* If the count is not a multiple of 4, compute any remaining MACs here. + ** No loop unrolling is used. */ + k = count % 0x4U; + + while (k > 0U) + { + /* Perform the multiply-accumulates */ + /* x[0] * y[srcBLen - 1] */ + sum = __SMLALD(*px++, *py++, sum); + + /* Decrement the loop counter */ + k--; + } + + /* Store the result in the accumulator in the destination buffer. */ + *pOut = (q15_t) (__SSAT((sum >> 15), 16)); + /* Destination pointer is updated according to the address modifier, inc */ + pOut += inc; + + /* Update the inputA and inputB pointers for next MAC calculation */ + py = pSrc1 - count; + px = pIn1; + + /* Increment the MAC count */ + count++; + + /* Decrement the loop counter */ + blockSize1--; + } + + /* -------------------------- + * Initializations of stage2 + * ------------------------*/ + + /* sum = x[0] * y[0] + x[1] * y[1] +...+ x[srcBLen-1] * y[srcBLen-1] + * sum = x[1] * y[0] + x[2] * y[1] +...+ x[srcBLen] * y[srcBLen-1] + * .... + * sum = x[srcALen-srcBLen-2] * y[0] + x[srcALen-srcBLen-1] * y[1] +...+ x[srcALen-1] * y[srcBLen-1] + */ + + /* Working pointer of inputA */ + px = pIn1; + + /* Working pointer of inputB */ + py = pIn2; + + /* count is index by which the pointer pIn1 to be incremented */ + count = 0U; + + /* ------------------- + * Stage2 process + * ------------------*/ + + /* Stage2 depends on srcBLen as in this stage srcBLen number of MACS are performed. + * So, to loop unroll over blockSize2, + * srcBLen should be greater than or equal to 4, to loop unroll the srcBLen loop */ + if (srcBLen >= 4U) + { + /* Loop unroll over blockSize2, by 4 */ + blkCnt = blockSize2 >> 2U; + + while (blkCnt > 0U) + { + /* Set all accumulators to zero */ + acc0 = 0; + acc1 = 0; + acc2 = 0; + acc3 = 0; + + /* read x[0], x[1] samples */ + x0 = *__SIMD32(px); + /* read x[1], x[2] samples */ + x1 = _SIMD32_OFFSET(px + 1); + px += 2U; + + /* Apply loop unrolling and compute 4 MACs simultaneously. */ + k = srcBLen >> 2U; + + /* First part of the processing with loop unrolling. Compute 4 MACs at a time. + ** a second loop below computes MACs for the remaining 1 to 3 samples. */ + do + { + /* Read the first two inputB samples using SIMD: + * y[0] and y[1] */ + c0 = *__SIMD32(py)++; + + /* acc0 += x[0] * y[0] + x[1] * y[1] */ + acc0 = __SMLALD(x0, c0, acc0); + + /* acc1 += x[1] * y[0] + x[2] * y[1] */ + acc1 = __SMLALD(x1, c0, acc1); + + /* Read x[2], x[3] */ + x2 = *__SIMD32(px); + + /* Read x[3], x[4] */ + x3 = _SIMD32_OFFSET(px + 1); + + /* acc2 += x[2] * y[0] + x[3] * y[1] */ + acc2 = __SMLALD(x2, c0, acc2); + + /* acc3 += x[3] * y[0] + x[4] * y[1] */ + acc3 = __SMLALD(x3, c0, acc3); + + /* Read y[2] and y[3] */ + c0 = *__SIMD32(py)++; + + /* acc0 += x[2] * y[2] + x[3] * y[3] */ + acc0 = __SMLALD(x2, c0, acc0); + + /* acc1 += x[3] * y[2] + x[4] * y[3] */ + acc1 = __SMLALD(x3, c0, acc1); + + /* Read x[4], x[5] */ + x0 = _SIMD32_OFFSET(px + 2); + + /* Read x[5], x[6] */ + x1 = _SIMD32_OFFSET(px + 3); + + px += 4U; + + /* acc2 += x[4] * y[2] + x[5] * y[3] */ + acc2 = __SMLALD(x0, c0, acc2); + + /* acc3 += x[5] * y[2] + x[6] * y[3] */ + acc3 = __SMLALD(x1, c0, acc3); + + } while (--k); + + /* If the srcBLen is not a multiple of 4, compute any remaining MACs here. + ** No loop unrolling is used. */ + k = srcBLen % 0x4U; + + if (k == 1U) + { + /* Read y[4] */ + c0 = *py; +#ifdef ARM_MATH_BIG_ENDIAN + + c0 = c0 << 16U; + +#else + + c0 = c0 & 0x0000FFFF; + +#endif /* #ifdef ARM_MATH_BIG_ENDIAN */ + /* Read x[7] */ + x3 = *__SIMD32(px); + px++; + + /* Perform the multiply-accumulates */ + acc0 = __SMLALD(x0, c0, acc0); + acc1 = __SMLALD(x1, c0, acc1); + acc2 = __SMLALDX(x1, c0, acc2); + acc3 = __SMLALDX(x3, c0, acc3); + } + + if (k == 2U) + { + /* Read y[4], y[5] */ + c0 = *__SIMD32(py); + + /* Read x[7], x[8] */ + x3 = *__SIMD32(px); + + /* Read x[9] */ + x2 = _SIMD32_OFFSET(px + 1); + px += 2U; + + /* Perform the multiply-accumulates */ + acc0 = __SMLALD(x0, c0, acc0); + acc1 = __SMLALD(x1, c0, acc1); + acc2 = __SMLALD(x3, c0, acc2); + acc3 = __SMLALD(x2, c0, acc3); + } + + if (k == 3U) + { + /* Read y[4], y[5] */ + c0 = *__SIMD32(py)++; + + /* Read x[7], x[8] */ + x3 = *__SIMD32(px); + + /* Read x[9] */ + x2 = _SIMD32_OFFSET(px + 1); + + /* Perform the multiply-accumulates */ + acc0 = __SMLALD(x0, c0, acc0); + acc1 = __SMLALD(x1, c0, acc1); + acc2 = __SMLALD(x3, c0, acc2); + acc3 = __SMLALD(x2, c0, acc3); + + c0 = (*py); + + /* Read y[6] */ +#ifdef ARM_MATH_BIG_ENDIAN + + c0 = c0 << 16U; +#else + + c0 = c0 & 0x0000FFFF; +#endif /* #ifdef ARM_MATH_BIG_ENDIAN */ + /* Read x[10] */ + x3 = _SIMD32_OFFSET(px + 2); + px += 3U; + + /* Perform the multiply-accumulates */ + acc0 = __SMLALDX(x1, c0, acc0); + acc1 = __SMLALD(x2, c0, acc1); + acc2 = __SMLALDX(x2, c0, acc2); + acc3 = __SMLALDX(x3, c0, acc3); + } + + /* Store the result in the accumulator in the destination buffer. */ + *pOut = (q15_t) (__SSAT(acc0 >> 15, 16)); + /* Destination pointer is updated according to the address modifier, inc */ + pOut += inc; + + *pOut = (q15_t) (__SSAT(acc1 >> 15, 16)); + pOut += inc; + + *pOut = (q15_t) (__SSAT(acc2 >> 15, 16)); + pOut += inc; + + *pOut = (q15_t) (__SSAT(acc3 >> 15, 16)); + pOut += inc; + + /* Increment the count by 4 as 4 output values are computed */ + count += 4U; + + /* Update the inputA and inputB pointers for next MAC calculation */ + px = pIn1 + count; + py = pIn2; + + /* Decrement the loop counter */ + blkCnt--; + } + + /* If the blockSize2 is not a multiple of 4, compute any remaining output samples here. + ** No loop unrolling is used. */ + blkCnt = blockSize2 % 0x4U; + + while (blkCnt > 0U) + { + /* Accumulator is made zero for every iteration */ + sum = 0; + + /* Apply loop unrolling and compute 4 MACs simultaneously. */ + k = srcBLen >> 2U; + + /* First part of the processing with loop unrolling. Compute 4 MACs at a time. + ** a second loop below computes MACs for the remaining 1 to 3 samples. */ + while (k > 0U) + { + /* Perform the multiply-accumulates */ + sum += ((q63_t) * px++ * *py++); + sum += ((q63_t) * px++ * *py++); + sum += ((q63_t) * px++ * *py++); + sum += ((q63_t) * px++ * *py++); + + /* Decrement the loop counter */ + k--; + } + + /* If the srcBLen is not a multiple of 4, compute any remaining MACs here. + ** No loop unrolling is used. */ + k = srcBLen % 0x4U; + + while (k > 0U) + { + /* Perform the multiply-accumulates */ + sum += ((q63_t) * px++ * *py++); + + /* Decrement the loop counter */ + k--; + } + + /* Store the result in the accumulator in the destination buffer. */ + *pOut = (q15_t) (__SSAT(sum >> 15, 16)); + /* Destination pointer is updated according to the address modifier, inc */ + pOut += inc; + + /* Increment count by 1, as one output value is computed */ + count++; + + /* Update the inputA and inputB pointers for next MAC calculation */ + px = pIn1 + count; + py = pIn2; + + /* Decrement the loop counter */ + blkCnt--; + } + } + else + { + /* If the srcBLen is not a multiple of 4, + * the blockSize2 loop cannot be unrolled by 4 */ + blkCnt = blockSize2; + + while (blkCnt > 0U) + { + /* Accumulator is made zero for every iteration */ + sum = 0; + + /* Loop over srcBLen */ + k = srcBLen; + + while (k > 0U) + { + /* Perform the multiply-accumulate */ + sum += ((q63_t) * px++ * *py++); + + /* Decrement the loop counter */ + k--; + } + + /* Store the result in the accumulator in the destination buffer. */ + *pOut = (q15_t) (__SSAT(sum >> 15, 16)); + /* Destination pointer is updated according to the address modifier, inc */ + pOut += inc; + + /* Increment the MAC count */ + count++; + + /* Update the inputA and inputB pointers for next MAC calculation */ + px = pIn1 + count; + py = pIn2; + + /* Decrement the loop counter */ + blkCnt--; + } + } + + /* -------------------------- + * Initializations of stage3 + * -------------------------*/ + + /* sum += x[srcALen-srcBLen+1] * y[0] + x[srcALen-srcBLen+2] * y[1] +...+ x[srcALen-1] * y[srcBLen-1] + * sum += x[srcALen-srcBLen+2] * y[0] + x[srcALen-srcBLen+3] * y[1] +...+ x[srcALen-1] * y[srcBLen-1] + * .... + * sum += x[srcALen-2] * y[0] + x[srcALen-1] * y[1] + * sum += x[srcALen-1] * y[0] + */ + + /* In this stage the MAC operations are decreased by 1 for every iteration. + The count variable holds the number of MAC operations performed */ + count = srcBLen - 1U; + + /* Working pointer of inputA */ + pSrc1 = (pIn1 + srcALen) - (srcBLen - 1U); + px = pSrc1; + + /* Working pointer of inputB */ + py = pIn2; + + /* ------------------- + * Stage3 process + * ------------------*/ + + while (blockSize3 > 0U) + { + /* Accumulator is made zero for every iteration */ + sum = 0; + + /* Apply loop unrolling and compute 4 MACs simultaneously. */ + k = count >> 2U; + + /* First part of the processing with loop unrolling. Compute 4 MACs at a time. + ** a second loop below computes MACs for the remaining 1 to 3 samples. */ + while (k > 0U) + { + /* Perform the multiply-accumulates */ + /* sum += x[srcALen - srcBLen + 4] * y[3] , sum += x[srcALen - srcBLen + 3] * y[2] */ + sum = __SMLALD(*__SIMD32(px)++, *__SIMD32(py)++, sum); + /* sum += x[srcALen - srcBLen + 2] * y[1] , sum += x[srcALen - srcBLen + 1] * y[0] */ + sum = __SMLALD(*__SIMD32(px)++, *__SIMD32(py)++, sum); + + /* Decrement the loop counter */ + k--; + } + + /* If the count is not a multiple of 4, compute any remaining MACs here. + ** No loop unrolling is used. */ + k = count % 0x4U; + + while (k > 0U) + { + /* Perform the multiply-accumulates */ + sum = __SMLALD(*px++, *py++, sum); + + /* Decrement the loop counter */ + k--; + } + + /* Store the result in the accumulator in the destination buffer. */ + *pOut = (q15_t) (__SSAT((sum >> 15), 16)); + /* Destination pointer is updated according to the address modifier, inc */ + pOut += inc; + + /* Update the inputA and inputB pointers for next MAC calculation */ + px = ++pSrc1; + py = pIn2; + + /* Decrement the MAC count */ + count--; + + /* Decrement the loop counter */ + blockSize3--; + } + +#else + +/* Run the below code for Cortex-M0 */ + + q15_t *pIn1 = pSrcA; /* inputA pointer */ + q15_t *pIn2 = pSrcB + (srcBLen - 1U); /* inputB pointer */ + q63_t sum; /* Accumulators */ + uint32_t i = 0U, j; /* loop counters */ + uint32_t inv = 0U; /* Reverse order flag */ + uint32_t tot = 0U; /* Length */ + + /* The algorithm implementation is based on the lengths of the inputs. */ + /* srcB is always made to slide across srcA. */ + /* So srcBLen is always considered as shorter or equal to srcALen */ + /* But CORR(x, y) is reverse of CORR(y, x) */ + /* So, when srcBLen > srcALen, output pointer is made to point to the end of the output buffer */ + /* and a varaible, inv is set to 1 */ + /* If lengths are not equal then zero pad has to be done to make the two + * inputs of same length. But to improve the performance, we include zeroes + * in the output instead of zero padding either of the the inputs*/ + /* If srcALen > srcBLen, (srcALen - srcBLen) zeroes has to included in the + * starting of the output buffer */ + /* If srcALen < srcBLen, (srcALen - srcBLen) zeroes has to included in the + * ending of the output buffer */ + /* Once the zero padding is done the remaining of the output is calcualted + * using convolution but with the shorter signal time shifted. */ + + /* Calculate the length of the remaining sequence */ + tot = ((srcALen + srcBLen) - 2U); + + if (srcALen > srcBLen) + { + /* Calculating the number of zeros to be padded to the output */ + j = srcALen - srcBLen; + + /* Initialise the pointer after zero padding */ + pDst += j; + } + + else if (srcALen < srcBLen) + { + /* Initialization to inputB pointer */ + pIn1 = pSrcB; + + /* Initialization to the end of inputA pointer */ + pIn2 = pSrcA + (srcALen - 1U); + + /* Initialisation of the pointer after zero padding */ + pDst = pDst + tot; + + /* Swapping the lengths */ + j = srcALen; + srcALen = srcBLen; + srcBLen = j; + + /* Setting the reverse flag */ + inv = 1; + + } + + /* Loop to calculate convolution for output length number of times */ + for (i = 0U; i <= tot; i++) + { + /* Initialize sum with zero to carry on MAC operations */ + sum = 0; + + /* Loop to perform MAC operations according to convolution equation */ + for (j = 0U; j <= i; j++) + { + /* Check the array limitations */ + if ((((i - j) < srcBLen) && (j < srcALen))) + { + /* z[i] += x[i-j] * y[j] */ + sum += ((q31_t) pIn1[j] * pIn2[-((int32_t) i - j)]); + } + } + /* Store the output in the destination buffer */ + if (inv == 1) + *pDst-- = (q15_t) __SSAT((sum >> 15U), 16U); + else + *pDst++ = (q15_t) __SSAT((sum >> 15U), 16U); + } + +#endif /* #if (defined(ARM_MATH_CM7) || defined(ARM_MATH_CM4) || defined(ARM_MATH_CM3)) && !defined(UNALIGNED_SUPPORT_DISABLE) */ + +} + +/** + * @} end of Corr group + */ diff --git a/fw/hid-dials/Drivers/CMSIS/DSP/Source/FilteringFunctions/arm_correlate_q31.c b/fw/hid-dials/Drivers/CMSIS/DSP/Source/FilteringFunctions/arm_correlate_q31.c new file mode 100644 index 0000000..f2e946a --- /dev/null +++ b/fw/hid-dials/Drivers/CMSIS/DSP/Source/FilteringFunctions/arm_correlate_q31.c @@ -0,0 +1,653 @@ +/* ---------------------------------------------------------------------- + * Project: CMSIS DSP Library + * Title: arm_correlate_q31.c + * Description: Correlation of Q31 sequences + * + * $Date: 27. January 2017 + * $Revision: V.1.5.1 + * + * Target Processor: Cortex-M cores + * -------------------------------------------------------------------- */ +/* + * Copyright (C) 2010-2017 ARM Limited or its affiliates. All rights reserved. + * + * SPDX-License-Identifier: Apache-2.0 + * + * Licensed under the Apache License, Version 2.0 (the License); you may + * not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an AS IS BASIS, WITHOUT + * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ + +#include "arm_math.h" + +/** + * @ingroup groupFilters + */ + +/** + * @addtogroup Corr + * @{ + */ + +/** + * @brief Correlation of Q31 sequences. + * @param[in] *pSrcA points to the first input sequence. + * @param[in] srcALen length of the first input sequence. + * @param[in] *pSrcB points to the second input sequence. + * @param[in] srcBLen length of the second input sequence. + * @param[out] *pDst points to the location where the output result is written. Length 2 * max(srcALen, srcBLen) - 1. + * @return none. + * + * @details + * Scaling and Overflow Behavior: + * + * \par + * The function is implemented using an internal 64-bit accumulator. + * The accumulator has a 2.62 format and maintains full precision of the intermediate multiplication results but provides only a single guard bit. + * There is no saturation on intermediate additions. + * Thus, if the accumulator overflows it wraps around and distorts the result. + * The input signals should be scaled down to avoid intermediate overflows. + * Scale down one of the inputs by 1/min(srcALen, srcBLen)to avoid overflows since a + * maximum of min(srcALen, srcBLen) number of additions is carried internally. + * The 2.62 accumulator is right shifted by 31 bits and saturated to 1.31 format to yield the final result. + * + * \par + * See arm_correlate_fast_q31() for a faster but less precise implementation of this function for Cortex-M3 and Cortex-M4. + */ + +void arm_correlate_q31( + q31_t * pSrcA, + uint32_t srcALen, + q31_t * pSrcB, + uint32_t srcBLen, + q31_t * pDst) +{ + +#if defined (ARM_MATH_DSP) + + /* Run the below code for Cortex-M4 and Cortex-M3 */ + + q31_t *pIn1; /* inputA pointer */ + q31_t *pIn2; /* inputB pointer */ + q31_t *pOut = pDst; /* output pointer */ + q31_t *px; /* Intermediate inputA pointer */ + q31_t *py; /* Intermediate inputB pointer */ + q31_t *pSrc1; /* Intermediate pointers */ + q63_t sum, acc0, acc1, acc2; /* Accumulators */ + q31_t x0, x1, x2, c0; /* temporary variables for holding input and coefficient values */ + uint32_t j, k = 0U, count, blkCnt, outBlockSize, blockSize1, blockSize2, blockSize3; /* loop counter */ + int32_t inc = 1; /* Destination address modifier */ + + + /* The algorithm implementation is based on the lengths of the inputs. */ + /* srcB is always made to slide across srcA. */ + /* So srcBLen is always considered as shorter or equal to srcALen */ + /* But CORR(x, y) is reverse of CORR(y, x) */ + /* So, when srcBLen > srcALen, output pointer is made to point to the end of the output buffer */ + /* and the destination pointer modifier, inc is set to -1 */ + /* If srcALen > srcBLen, zero pad has to be done to srcB to make the two inputs of same length */ + /* But to improve the performance, + * we include zeroes in the output instead of zero padding either of the the inputs*/ + /* If srcALen > srcBLen, + * (srcALen - srcBLen) zeroes has to included in the starting of the output buffer */ + /* If srcALen < srcBLen, + * (srcALen - srcBLen) zeroes has to included in the ending of the output buffer */ + if (srcALen >= srcBLen) + { + /* Initialization of inputA pointer */ + pIn1 = (pSrcA); + + /* Initialization of inputB pointer */ + pIn2 = (pSrcB); + + /* Number of output samples is calculated */ + outBlockSize = (2U * srcALen) - 1U; + + /* When srcALen > srcBLen, zero padding is done to srcB + * to make their lengths equal. + * Instead, (outBlockSize - (srcALen + srcBLen - 1)) + * number of output samples are made zero */ + j = outBlockSize - (srcALen + (srcBLen - 1U)); + + /* Updating the pointer position to non zero value */ + pOut += j; + + } + else + { + /* Initialization of inputA pointer */ + pIn1 = (pSrcB); + + /* Initialization of inputB pointer */ + pIn2 = (pSrcA); + + /* srcBLen is always considered as shorter or equal to srcALen */ + j = srcBLen; + srcBLen = srcALen; + srcALen = j; + + /* CORR(x, y) = Reverse order(CORR(y, x)) */ + /* Hence set the destination pointer to point to the last output sample */ + pOut = pDst + ((srcALen + srcBLen) - 2U); + + /* Destination address modifier is set to -1 */ + inc = -1; + + } + + /* The function is internally + * divided into three parts according to the number of multiplications that has to be + * taken place between inputA samples and inputB samples. In the first part of the + * algorithm, the multiplications increase by one for every iteration. + * In the second part of the algorithm, srcBLen number of multiplications are done. + * In the third part of the algorithm, the multiplications decrease by one + * for every iteration.*/ + /* The algorithm is implemented in three stages. + * The loop counters of each stage is initiated here. */ + blockSize1 = srcBLen - 1U; + blockSize2 = srcALen - (srcBLen - 1U); + blockSize3 = blockSize1; + + /* -------------------------- + * Initializations of stage1 + * -------------------------*/ + + /* sum = x[0] * y[srcBlen - 1] + * sum = x[0] * y[srcBlen - 2] + x[1] * y[srcBlen - 1] + * .... + * sum = x[0] * y[0] + x[1] * y[1] +...+ x[srcBLen - 1] * y[srcBLen - 1] + */ + + /* In this stage the MAC operations are increased by 1 for every iteration. + The count variable holds the number of MAC operations performed */ + count = 1U; + + /* Working pointer of inputA */ + px = pIn1; + + /* Working pointer of inputB */ + pSrc1 = pIn2 + (srcBLen - 1U); + py = pSrc1; + + /* ------------------------ + * Stage1 process + * ----------------------*/ + + /* The first stage starts here */ + while (blockSize1 > 0U) + { + /* Accumulator is made zero for every iteration */ + sum = 0; + + /* Apply loop unrolling and compute 4 MACs simultaneously. */ + k = count >> 2; + + /* First part of the processing with loop unrolling. Compute 4 MACs at a time. + ** a second loop below computes MACs for the remaining 1 to 3 samples. */ + while (k > 0U) + { + /* x[0] * y[srcBLen - 4] */ + sum += (q63_t) * px++ * (*py++); + /* x[1] * y[srcBLen - 3] */ + sum += (q63_t) * px++ * (*py++); + /* x[2] * y[srcBLen - 2] */ + sum += (q63_t) * px++ * (*py++); + /* x[3] * y[srcBLen - 1] */ + sum += (q63_t) * px++ * (*py++); + + /* Decrement the loop counter */ + k--; + } + + /* If the count is not a multiple of 4, compute any remaining MACs here. + ** No loop unrolling is used. */ + k = count % 0x4U; + + while (k > 0U) + { + /* Perform the multiply-accumulates */ + /* x[0] * y[srcBLen - 1] */ + sum += (q63_t) * px++ * (*py++); + + /* Decrement the loop counter */ + k--; + } + + /* Store the result in the accumulator in the destination buffer. */ + *pOut = (q31_t) (sum >> 31); + /* Destination pointer is updated according to the address modifier, inc */ + pOut += inc; + + /* Update the inputA and inputB pointers for next MAC calculation */ + py = pSrc1 - count; + px = pIn1; + + /* Increment the MAC count */ + count++; + + /* Decrement the loop counter */ + blockSize1--; + } + + /* -------------------------- + * Initializations of stage2 + * ------------------------*/ + + /* sum = x[0] * y[0] + x[1] * y[1] +...+ x[srcBLen-1] * y[srcBLen-1] + * sum = x[1] * y[0] + x[2] * y[1] +...+ x[srcBLen] * y[srcBLen-1] + * .... + * sum = x[srcALen-srcBLen-2] * y[0] + x[srcALen-srcBLen-1] * y[1] +...+ x[srcALen-1] * y[srcBLen-1] + */ + + /* Working pointer of inputA */ + px = pIn1; + + /* Working pointer of inputB */ + py = pIn2; + + /* count is index by which the pointer pIn1 to be incremented */ + count = 0U; + + /* ------------------- + * Stage2 process + * ------------------*/ + + /* Stage2 depends on srcBLen as in this stage srcBLen number of MACS are performed. + * So, to loop unroll over blockSize2, + * srcBLen should be greater than or equal to 4 */ + if (srcBLen >= 4U) + { + /* Loop unroll by 3 */ + blkCnt = blockSize2 / 3; + + while (blkCnt > 0U) + { + /* Set all accumulators to zero */ + acc0 = 0; + acc1 = 0; + acc2 = 0; + + /* read x[0], x[1] samples */ + x0 = *(px++); + x1 = *(px++); + + /* Apply loop unrolling and compute 3 MACs simultaneously. */ + k = srcBLen / 3; + + /* First part of the processing with loop unrolling. Compute 3 MACs at a time. + ** a second loop below computes MACs for the remaining 1 to 2 samples. */ + do + { + /* Read y[0] sample */ + c0 = *(py); + + /* Read x[2] sample */ + x2 = *(px); + + /* Perform the multiply-accumulate */ + /* acc0 += x[0] * y[0] */ + acc0 += ((q63_t) x0 * c0); + /* acc1 += x[1] * y[0] */ + acc1 += ((q63_t) x1 * c0); + /* acc2 += x[2] * y[0] */ + acc2 += ((q63_t) x2 * c0); + + /* Read y[1] sample */ + c0 = *(py + 1U); + + /* Read x[3] sample */ + x0 = *(px + 1U); + + /* Perform the multiply-accumulates */ + /* acc0 += x[1] * y[1] */ + acc0 += ((q63_t) x1 * c0); + /* acc1 += x[2] * y[1] */ + acc1 += ((q63_t) x2 * c0); + /* acc2 += x[3] * y[1] */ + acc2 += ((q63_t) x0 * c0); + + /* Read y[2] sample */ + c0 = *(py + 2U); + + /* Read x[4] sample */ + x1 = *(px + 2U); + + /* Perform the multiply-accumulates */ + /* acc0 += x[2] * y[2] */ + acc0 += ((q63_t) x2 * c0); + /* acc1 += x[3] * y[2] */ + acc1 += ((q63_t) x0 * c0); + /* acc2 += x[4] * y[2] */ + acc2 += ((q63_t) x1 * c0); + + /* update scratch pointers */ + px += 3U; + py += 3U; + + } while (--k); + + /* If the srcBLen is not a multiple of 3, compute any remaining MACs here. + ** No loop unrolling is used. */ + k = srcBLen - (3 * (srcBLen / 3)); + + while (k > 0U) + { + /* Read y[4] sample */ + c0 = *(py++); + + /* Read x[7] sample */ + x2 = *(px++); + + /* Perform the multiply-accumulates */ + /* acc0 += x[4] * y[4] */ + acc0 += ((q63_t) x0 * c0); + /* acc1 += x[5] * y[4] */ + acc1 += ((q63_t) x1 * c0); + /* acc2 += x[6] * y[4] */ + acc2 += ((q63_t) x2 * c0); + + /* Reuse the present samples for the next MAC */ + x0 = x1; + x1 = x2; + + /* Decrement the loop counter */ + k--; + } + + /* Store the result in the accumulator in the destination buffer. */ + *pOut = (q31_t) (acc0 >> 31); + /* Destination pointer is updated according to the address modifier, inc */ + pOut += inc; + + *pOut = (q31_t) (acc1 >> 31); + pOut += inc; + + *pOut = (q31_t) (acc2 >> 31); + pOut += inc; + + /* Increment the pointer pIn1 index, count by 3 */ + count += 3U; + + /* Update the inputA and inputB pointers for next MAC calculation */ + px = pIn1 + count; + py = pIn2; + + + /* Decrement the loop counter */ + blkCnt--; + } + + /* If the blockSize2 is not a multiple of 3, compute any remaining output samples here. + ** No loop unrolling is used. */ + blkCnt = blockSize2 - 3 * (blockSize2 / 3); + + while (blkCnt > 0U) + { + /* Accumulator is made zero for every iteration */ + sum = 0; + + /* Apply loop unrolling and compute 4 MACs simultaneously. */ + k = srcBLen >> 2U; + + /* First part of the processing with loop unrolling. Compute 4 MACs at a time. + ** a second loop below computes MACs for the remaining 1 to 3 samples. */ + while (k > 0U) + { + /* Perform the multiply-accumulates */ + sum += (q63_t) * px++ * (*py++); + sum += (q63_t) * px++ * (*py++); + sum += (q63_t) * px++ * (*py++); + sum += (q63_t) * px++ * (*py++); + + /* Decrement the loop counter */ + k--; + } + + /* If the srcBLen is not a multiple of 4, compute any remaining MACs here. + ** No loop unrolling is used. */ + k = srcBLen % 0x4U; + + while (k > 0U) + { + /* Perform the multiply-accumulate */ + sum += (q63_t) * px++ * (*py++); + + /* Decrement the loop counter */ + k--; + } + + /* Store the result in the accumulator in the destination buffer. */ + *pOut = (q31_t) (sum >> 31); + /* Destination pointer is updated according to the address modifier, inc */ + pOut += inc; + + /* Increment the MAC count */ + count++; + + /* Update the inputA and inputB pointers for next MAC calculation */ + px = pIn1 + count; + py = pIn2; + + /* Decrement the loop counter */ + blkCnt--; + } + } + else + { + /* If the srcBLen is not a multiple of 4, + * the blockSize2 loop cannot be unrolled by 4 */ + blkCnt = blockSize2; + + while (blkCnt > 0U) + { + /* Accumulator is made zero for every iteration */ + sum = 0; + + /* Loop over srcBLen */ + k = srcBLen; + + while (k > 0U) + { + /* Perform the multiply-accumulate */ + sum += (q63_t) * px++ * (*py++); + + /* Decrement the loop counter */ + k--; + } + + /* Store the result in the accumulator in the destination buffer. */ + *pOut = (q31_t) (sum >> 31); + /* Destination pointer is updated according to the address modifier, inc */ + pOut += inc; + + /* Increment the MAC count */ + count++; + + /* Update the inputA and inputB pointers for next MAC calculation */ + px = pIn1 + count; + py = pIn2; + + /* Decrement the loop counter */ + blkCnt--; + } + } + + /* -------------------------- + * Initializations of stage3 + * -------------------------*/ + + /* sum += x[srcALen-srcBLen+1] * y[0] + x[srcALen-srcBLen+2] * y[1] +...+ x[srcALen-1] * y[srcBLen-1] + * sum += x[srcALen-srcBLen+2] * y[0] + x[srcALen-srcBLen+3] * y[1] +...+ x[srcALen-1] * y[srcBLen-1] + * .... + * sum += x[srcALen-2] * y[0] + x[srcALen-1] * y[1] + * sum += x[srcALen-1] * y[0] + */ + + /* In this stage the MAC operations are decreased by 1 for every iteration. + The count variable holds the number of MAC operations performed */ + count = srcBLen - 1U; + + /* Working pointer of inputA */ + pSrc1 = pIn1 + (srcALen - (srcBLen - 1U)); + px = pSrc1; + + /* Working pointer of inputB */ + py = pIn2; + + /* ------------------- + * Stage3 process + * ------------------*/ + + while (blockSize3 > 0U) + { + /* Accumulator is made zero for every iteration */ + sum = 0; + + /* Apply loop unrolling and compute 4 MACs simultaneously. */ + k = count >> 2U; + + /* First part of the processing with loop unrolling. Compute 4 MACs at a time. + ** a second loop below computes MACs for the remaining 1 to 3 samples. */ + while (k > 0U) + { + /* Perform the multiply-accumulates */ + /* sum += x[srcALen - srcBLen + 4] * y[3] */ + sum += (q63_t) * px++ * (*py++); + /* sum += x[srcALen - srcBLen + 3] * y[2] */ + sum += (q63_t) * px++ * (*py++); + /* sum += x[srcALen - srcBLen + 2] * y[1] */ + sum += (q63_t) * px++ * (*py++); + /* sum += x[srcALen - srcBLen + 1] * y[0] */ + sum += (q63_t) * px++ * (*py++); + + /* Decrement the loop counter */ + k--; + } + + /* If the count is not a multiple of 4, compute any remaining MACs here. + ** No loop unrolling is used. */ + k = count % 0x4U; + + while (k > 0U) + { + /* Perform the multiply-accumulates */ + sum += (q63_t) * px++ * (*py++); + + /* Decrement the loop counter */ + k--; + } + + /* Store the result in the accumulator in the destination buffer. */ + *pOut = (q31_t) (sum >> 31); + /* Destination pointer is updated according to the address modifier, inc */ + pOut += inc; + + /* Update the inputA and inputB pointers for next MAC calculation */ + px = ++pSrc1; + py = pIn2; + + /* Decrement the MAC count */ + count--; + + /* Decrement the loop counter */ + blockSize3--; + } + +#else + + /* Run the below code for Cortex-M0 */ + + q31_t *pIn1 = pSrcA; /* inputA pointer */ + q31_t *pIn2 = pSrcB + (srcBLen - 1U); /* inputB pointer */ + q63_t sum; /* Accumulators */ + uint32_t i = 0U, j; /* loop counters */ + uint32_t inv = 0U; /* Reverse order flag */ + uint32_t tot = 0U; /* Length */ + + /* The algorithm implementation is based on the lengths of the inputs. */ + /* srcB is always made to slide across srcA. */ + /* So srcBLen is always considered as shorter or equal to srcALen */ + /* But CORR(x, y) is reverse of CORR(y, x) */ + /* So, when srcBLen > srcALen, output pointer is made to point to the end of the output buffer */ + /* and a varaible, inv is set to 1 */ + /* If lengths are not equal then zero pad has to be done to make the two + * inputs of same length. But to improve the performance, we include zeroes + * in the output instead of zero padding either of the the inputs*/ + /* If srcALen > srcBLen, (srcALen - srcBLen) zeroes has to included in the + * starting of the output buffer */ + /* If srcALen < srcBLen, (srcALen - srcBLen) zeroes has to included in the + * ending of the output buffer */ + /* Once the zero padding is done the remaining of the output is calcualted + * using correlation but with the shorter signal time shifted. */ + + /* Calculate the length of the remaining sequence */ + tot = ((srcALen + srcBLen) - 2U); + + if (srcALen > srcBLen) + { + /* Calculating the number of zeros to be padded to the output */ + j = srcALen - srcBLen; + + /* Initialise the pointer after zero padding */ + pDst += j; + } + + else if (srcALen < srcBLen) + { + /* Initialization to inputB pointer */ + pIn1 = pSrcB; + + /* Initialization to the end of inputA pointer */ + pIn2 = pSrcA + (srcALen - 1U); + + /* Initialisation of the pointer after zero padding */ + pDst = pDst + tot; + + /* Swapping the lengths */ + j = srcALen; + srcALen = srcBLen; + srcBLen = j; + + /* Setting the reverse flag */ + inv = 1; + + } + + /* Loop to calculate correlation for output length number of times */ + for (i = 0U; i <= tot; i++) + { + /* Initialize sum with zero to carry on MAC operations */ + sum = 0; + + /* Loop to perform MAC operations according to correlation equation */ + for (j = 0U; j <= i; j++) + { + /* Check the array limitations */ + if ((((i - j) < srcBLen) && (j < srcALen))) + { + /* z[i] += x[i-j] * y[j] */ + sum += ((q63_t) pIn1[j] * pIn2[-((int32_t) i - j)]); + } + } + /* Store the output in the destination buffer */ + if (inv == 1) + *pDst-- = (q31_t) (sum >> 31U); + else + *pDst++ = (q31_t) (sum >> 31U); + } + +#endif /* #if defined (ARM_MATH_DSP) */ + +} + +/** + * @} end of Corr group + */ diff --git a/fw/hid-dials/Drivers/CMSIS/DSP/Source/FilteringFunctions/arm_correlate_q7.c b/fw/hid-dials/Drivers/CMSIS/DSP/Source/FilteringFunctions/arm_correlate_q7.c new file mode 100644 index 0000000..f8b1df5 --- /dev/null +++ b/fw/hid-dials/Drivers/CMSIS/DSP/Source/FilteringFunctions/arm_correlate_q7.c @@ -0,0 +1,778 @@ +/* ---------------------------------------------------------------------- + * Project: CMSIS DSP Library + * Title: arm_correlate_q7.c + * Description: Correlation of Q7 sequences + * + * $Date: 27. January 2017 + * $Revision: V.1.5.1 + * + * Target Processor: Cortex-M cores + * -------------------------------------------------------------------- */ +/* + * Copyright (C) 2010-2017 ARM Limited or its affiliates. All rights reserved. + * + * SPDX-License-Identifier: Apache-2.0 + * + * Licensed under the Apache License, Version 2.0 (the License); you may + * not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an AS IS BASIS, WITHOUT + * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ + +#include "arm_math.h" + +/** + * @ingroup groupFilters + */ + +/** + * @addtogroup Corr + * @{ + */ + +/** + * @brief Correlation of Q7 sequences. + * @param[in] *pSrcA points to the first input sequence. + * @param[in] srcALen length of the first input sequence. + * @param[in] *pSrcB points to the second input sequence. + * @param[in] srcBLen length of the second input sequence. + * @param[out] *pDst points to the location where the output result is written. Length 2 * max(srcALen, srcBLen) - 1. + * @return none. + * + * @details + * Scaling and Overflow Behavior: + * + * \par + * The function is implemented using a 32-bit internal accumulator. + * Both the inputs are represented in 1.7 format and multiplications yield a 2.14 result. + * The 2.14 intermediate results are accumulated in a 32-bit accumulator in 18.14 format. + * This approach provides 17 guard bits and there is no risk of overflow as long as max(srcALen, srcBLen)<131072. + * The 18.14 result is then truncated to 18.7 format by discarding the low 7 bits and saturated to 1.7 format. + * + * \par + * Refer the function arm_correlate_opt_q7() for a faster implementation of this function. + * + */ + +void arm_correlate_q7( + q7_t * pSrcA, + uint32_t srcALen, + q7_t * pSrcB, + uint32_t srcBLen, + q7_t * pDst) +{ + + +#if defined (ARM_MATH_DSP) + + /* Run the below code for Cortex-M4 and Cortex-M3 */ + + q7_t *pIn1; /* inputA pointer */ + q7_t *pIn2; /* inputB pointer */ + q7_t *pOut = pDst; /* output pointer */ + q7_t *px; /* Intermediate inputA pointer */ + q7_t *py; /* Intermediate inputB pointer */ + q7_t *pSrc1; /* Intermediate pointers */ + q31_t sum, acc0, acc1, acc2, acc3; /* Accumulators */ + q31_t input1, input2; /* temporary variables */ + q15_t in1, in2; /* temporary variables */ + q7_t x0, x1, x2, x3, c0, c1; /* temporary variables for holding input and coefficient values */ + uint32_t j, k = 0U, count, blkCnt, outBlockSize, blockSize1, blockSize2, blockSize3; /* loop counter */ + int32_t inc = 1; + + + /* The algorithm implementation is based on the lengths of the inputs. */ + /* srcB is always made to slide across srcA. */ + /* So srcBLen is always considered as shorter or equal to srcALen */ + /* But CORR(x, y) is reverse of CORR(y, x) */ + /* So, when srcBLen > srcALen, output pointer is made to point to the end of the output buffer */ + /* and the destination pointer modifier, inc is set to -1 */ + /* If srcALen > srcBLen, zero pad has to be done to srcB to make the two inputs of same length */ + /* But to improve the performance, + * we include zeroes in the output instead of zero padding either of the the inputs*/ + /* If srcALen > srcBLen, + * (srcALen - srcBLen) zeroes has to included in the starting of the output buffer */ + /* If srcALen < srcBLen, + * (srcALen - srcBLen) zeroes has to included in the ending of the output buffer */ + if (srcALen >= srcBLen) + { + /* Initialization of inputA pointer */ + pIn1 = (pSrcA); + + /* Initialization of inputB pointer */ + pIn2 = (pSrcB); + + /* Number of output samples is calculated */ + outBlockSize = (2U * srcALen) - 1U; + + /* When srcALen > srcBLen, zero padding is done to srcB + * to make their lengths equal. + * Instead, (outBlockSize - (srcALen + srcBLen - 1)) + * number of output samples are made zero */ + j = outBlockSize - (srcALen + (srcBLen - 1U)); + + /* Updating the pointer position to non zero value */ + pOut += j; + + } + else + { + /* Initialization of inputA pointer */ + pIn1 = (pSrcB); + + /* Initialization of inputB pointer */ + pIn2 = (pSrcA); + + /* srcBLen is always considered as shorter or equal to srcALen */ + j = srcBLen; + srcBLen = srcALen; + srcALen = j; + + /* CORR(x, y) = Reverse order(CORR(y, x)) */ + /* Hence set the destination pointer to point to the last output sample */ + pOut = pDst + ((srcALen + srcBLen) - 2U); + + /* Destination address modifier is set to -1 */ + inc = -1; + + } + + /* The function is internally + * divided into three parts according to the number of multiplications that has to be + * taken place between inputA samples and inputB samples. In the first part of the + * algorithm, the multiplications increase by one for every iteration. + * In the second part of the algorithm, srcBLen number of multiplications are done. + * In the third part of the algorithm, the multiplications decrease by one + * for every iteration.*/ + /* The algorithm is implemented in three stages. + * The loop counters of each stage is initiated here. */ + blockSize1 = srcBLen - 1U; + blockSize2 = srcALen - (srcBLen - 1U); + blockSize3 = blockSize1; + + /* -------------------------- + * Initializations of stage1 + * -------------------------*/ + + /* sum = x[0] * y[srcBlen - 1] + * sum = x[0] * y[srcBlen - 2] + x[1] * y[srcBlen - 1] + * .... + * sum = x[0] * y[0] + x[1] * y[1] +...+ x[srcBLen - 1] * y[srcBLen - 1] + */ + + /* In this stage the MAC operations are increased by 1 for every iteration. + The count variable holds the number of MAC operations performed */ + count = 1U; + + /* Working pointer of inputA */ + px = pIn1; + + /* Working pointer of inputB */ + pSrc1 = pIn2 + (srcBLen - 1U); + py = pSrc1; + + /* ------------------------ + * Stage1 process + * ----------------------*/ + + /* The first stage starts here */ + while (blockSize1 > 0U) + { + /* Accumulator is made zero for every iteration */ + sum = 0; + + /* Apply loop unrolling and compute 4 MACs simultaneously. */ + k = count >> 2; + + /* First part of the processing with loop unrolling. Compute 4 MACs at a time. + ** a second loop below computes MACs for the remaining 1 to 3 samples. */ + while (k > 0U) + { + /* x[0] , x[1] */ + in1 = (q15_t) * px++; + in2 = (q15_t) * px++; + input1 = ((q31_t) in1 & 0x0000FFFF) | ((q31_t) in2 << 16); + + /* y[srcBLen - 4] , y[srcBLen - 3] */ + in1 = (q15_t) * py++; + in2 = (q15_t) * py++; + input2 = ((q31_t) in1 & 0x0000FFFF) | ((q31_t) in2 << 16); + + /* x[0] * y[srcBLen - 4] */ + /* x[1] * y[srcBLen - 3] */ + sum = __SMLAD(input1, input2, sum); + + /* x[2] , x[3] */ + in1 = (q15_t) * px++; + in2 = (q15_t) * px++; + input1 = ((q31_t) in1 & 0x0000FFFF) | ((q31_t) in2 << 16); + + /* y[srcBLen - 2] , y[srcBLen - 1] */ + in1 = (q15_t) * py++; + in2 = (q15_t) * py++; + input2 = ((q31_t) in1 & 0x0000FFFF) | ((q31_t) in2 << 16); + + /* x[2] * y[srcBLen - 2] */ + /* x[3] * y[srcBLen - 1] */ + sum = __SMLAD(input1, input2, sum); + + + /* Decrement the loop counter */ + k--; + } + + /* If the count is not a multiple of 4, compute any remaining MACs here. + ** No loop unrolling is used. */ + k = count % 0x4U; + + while (k > 0U) + { + /* Perform the multiply-accumulates */ + /* x[0] * y[srcBLen - 1] */ + sum += (q31_t) ((q15_t) * px++ * *py++); + + /* Decrement the loop counter */ + k--; + } + + /* Store the result in the accumulator in the destination buffer. */ + *pOut = (q7_t) (__SSAT(sum >> 7, 8)); + /* Destination pointer is updated according to the address modifier, inc */ + pOut += inc; + + /* Update the inputA and inputB pointers for next MAC calculation */ + py = pSrc1 - count; + px = pIn1; + + /* Increment the MAC count */ + count++; + + /* Decrement the loop counter */ + blockSize1--; + } + + /* -------------------------- + * Initializations of stage2 + * ------------------------*/ + + /* sum = x[0] * y[0] + x[1] * y[1] +...+ x[srcBLen-1] * y[srcBLen-1] + * sum = x[1] * y[0] + x[2] * y[1] +...+ x[srcBLen] * y[srcBLen-1] + * .... + * sum = x[srcALen-srcBLen-2] * y[0] + x[srcALen-srcBLen-1] * y[1] +...+ x[srcALen-1] * y[srcBLen-1] + */ + + /* Working pointer of inputA */ + px = pIn1; + + /* Working pointer of inputB */ + py = pIn2; + + /* count is index by which the pointer pIn1 to be incremented */ + count = 0U; + + /* ------------------- + * Stage2 process + * ------------------*/ + + /* Stage2 depends on srcBLen as in this stage srcBLen number of MACS are performed. + * So, to loop unroll over blockSize2, + * srcBLen should be greater than or equal to 4 */ + if (srcBLen >= 4U) + { + /* Loop unroll over blockSize2, by 4 */ + blkCnt = blockSize2 >> 2U; + + while (blkCnt > 0U) + { + /* Set all accumulators to zero */ + acc0 = 0; + acc1 = 0; + acc2 = 0; + acc3 = 0; + + /* read x[0], x[1], x[2] samples */ + x0 = *px++; + x1 = *px++; + x2 = *px++; + + /* Apply loop unrolling and compute 4 MACs simultaneously. */ + k = srcBLen >> 2U; + + /* First part of the processing with loop unrolling. Compute 4 MACs at a time. + ** a second loop below computes MACs for the remaining 1 to 3 samples. */ + do + { + /* Read y[0] sample */ + c0 = *py++; + /* Read y[1] sample */ + c1 = *py++; + + /* Read x[3] sample */ + x3 = *px++; + + /* x[0] and x[1] are packed */ + in1 = (q15_t) x0; + in2 = (q15_t) x1; + + input1 = ((q31_t) in1 & 0x0000FFFF) | ((q31_t) in2 << 16); + + /* y[0] and y[1] are packed */ + in1 = (q15_t) c0; + in2 = (q15_t) c1; + + input2 = ((q31_t) in1 & 0x0000FFFF) | ((q31_t) in2 << 16); + + /* acc0 += x[0] * y[0] + x[1] * y[1] */ + acc0 = __SMLAD(input1, input2, acc0); + + /* x[1] and x[2] are packed */ + in1 = (q15_t) x1; + in2 = (q15_t) x2; + + input1 = ((q31_t) in1 & 0x0000FFFF) | ((q31_t) in2 << 16); + + /* acc1 += x[1] * y[0] + x[2] * y[1] */ + acc1 = __SMLAD(input1, input2, acc1); + + /* x[2] and x[3] are packed */ + in1 = (q15_t) x2; + in2 = (q15_t) x3; + + input1 = ((q31_t) in1 & 0x0000FFFF) | ((q31_t) in2 << 16); + + /* acc2 += x[2] * y[0] + x[3] * y[1] */ + acc2 = __SMLAD(input1, input2, acc2); + + /* Read x[4] sample */ + x0 = *(px++); + + /* x[3] and x[4] are packed */ + in1 = (q15_t) x3; + in2 = (q15_t) x0; + + input1 = ((q31_t) in1 & 0x0000FFFF) | ((q31_t) in2 << 16); + + /* acc3 += x[3] * y[0] + x[4] * y[1] */ + acc3 = __SMLAD(input1, input2, acc3); + + /* Read y[2] sample */ + c0 = *py++; + /* Read y[3] sample */ + c1 = *py++; + + /* Read x[5] sample */ + x1 = *px++; + + /* x[2] and x[3] are packed */ + in1 = (q15_t) x2; + in2 = (q15_t) x3; + + input1 = ((q31_t) in1 & 0x0000FFFF) | ((q31_t) in2 << 16); + + /* y[2] and y[3] are packed */ + in1 = (q15_t) c0; + in2 = (q15_t) c1; + + input2 = ((q31_t) in1 & 0x0000FFFF) | ((q31_t) in2 << 16); + + /* acc0 += x[2] * y[2] + x[3] * y[3] */ + acc0 = __SMLAD(input1, input2, acc0); + + /* x[3] and x[4] are packed */ + in1 = (q15_t) x3; + in2 = (q15_t) x0; + + input1 = ((q31_t) in1 & 0x0000FFFF) | ((q31_t) in2 << 16); + + /* acc1 += x[3] * y[2] + x[4] * y[3] */ + acc1 = __SMLAD(input1, input2, acc1); + + /* x[4] and x[5] are packed */ + in1 = (q15_t) x0; + in2 = (q15_t) x1; + + input1 = ((q31_t) in1 & 0x0000FFFF) | ((q31_t) in2 << 16); + + /* acc2 += x[4] * y[2] + x[5] * y[3] */ + acc2 = __SMLAD(input1, input2, acc2); + + /* Read x[6] sample */ + x2 = *px++; + + /* x[5] and x[6] are packed */ + in1 = (q15_t) x1; + in2 = (q15_t) x2; + + input1 = ((q31_t) in1 & 0x0000FFFF) | ((q31_t) in2 << 16); + + /* acc3 += x[5] * y[2] + x[6] * y[3] */ + acc3 = __SMLAD(input1, input2, acc3); + + } while (--k); + + /* If the srcBLen is not a multiple of 4, compute any remaining MACs here. + ** No loop unrolling is used. */ + k = srcBLen % 0x4U; + + while (k > 0U) + { + /* Read y[4] sample */ + c0 = *py++; + + /* Read x[7] sample */ + x3 = *px++; + + /* Perform the multiply-accumulates */ + /* acc0 += x[4] * y[4] */ + acc0 += ((q15_t) x0 * c0); + /* acc1 += x[5] * y[4] */ + acc1 += ((q15_t) x1 * c0); + /* acc2 += x[6] * y[4] */ + acc2 += ((q15_t) x2 * c0); + /* acc3 += x[7] * y[4] */ + acc3 += ((q15_t) x3 * c0); + + /* Reuse the present samples for the next MAC */ + x0 = x1; + x1 = x2; + x2 = x3; + + /* Decrement the loop counter */ + k--; + } + + /* Store the result in the accumulator in the destination buffer. */ + *pOut = (q7_t) (__SSAT(acc0 >> 7, 8)); + /* Destination pointer is updated according to the address modifier, inc */ + pOut += inc; + + *pOut = (q7_t) (__SSAT(acc1 >> 7, 8)); + pOut += inc; + + *pOut = (q7_t) (__SSAT(acc2 >> 7, 8)); + pOut += inc; + + *pOut = (q7_t) (__SSAT(acc3 >> 7, 8)); + pOut += inc; + + count += 4U; + /* Update the inputA and inputB pointers for next MAC calculation */ + px = pIn1 + count; + py = pIn2; + + /* Decrement the loop counter */ + blkCnt--; + } + + /* If the blockSize2 is not a multiple of 4, compute any remaining output samples here. + ** No loop unrolling is used. */ + blkCnt = blockSize2 % 0x4U; + + while (blkCnt > 0U) + { + /* Accumulator is made zero for every iteration */ + sum = 0; + + /* Apply loop unrolling and compute 4 MACs simultaneously. */ + k = srcBLen >> 2U; + + /* First part of the processing with loop unrolling. Compute 4 MACs at a time. + ** a second loop below computes MACs for the remaining 1 to 3 samples. */ + while (k > 0U) + { + /* Reading two inputs of SrcA buffer and packing */ + in1 = (q15_t) * px++; + in2 = (q15_t) * px++; + input1 = ((q31_t) in1 & 0x0000FFFF) | ((q31_t) in2 << 16); + + /* Reading two inputs of SrcB buffer and packing */ + in1 = (q15_t) * py++; + in2 = (q15_t) * py++; + input2 = ((q31_t) in1 & 0x0000FFFF) | ((q31_t) in2 << 16); + + /* Perform the multiply-accumulates */ + sum = __SMLAD(input1, input2, sum); + + /* Reading two inputs of SrcA buffer and packing */ + in1 = (q15_t) * px++; + in2 = (q15_t) * px++; + input1 = ((q31_t) in1 & 0x0000FFFF) | ((q31_t) in2 << 16); + + /* Reading two inputs of SrcB buffer and packing */ + in1 = (q15_t) * py++; + in2 = (q15_t) * py++; + input2 = ((q31_t) in1 & 0x0000FFFF) | ((q31_t) in2 << 16); + + /* Perform the multiply-accumulates */ + sum = __SMLAD(input1, input2, sum); + + /* Decrement the loop counter */ + k--; + } + + /* If the srcBLen is not a multiple of 4, compute any remaining MACs here. + ** No loop unrolling is used. */ + k = srcBLen % 0x4U; + + while (k > 0U) + { + /* Perform the multiply-accumulates */ + sum += ((q15_t) * px++ * *py++); + + /* Decrement the loop counter */ + k--; + } + + /* Store the result in the accumulator in the destination buffer. */ + *pOut = (q7_t) (__SSAT(sum >> 7, 8)); + /* Destination pointer is updated according to the address modifier, inc */ + pOut += inc; + + /* Increment the pointer pIn1 index, count by 1 */ + count++; + + /* Update the inputA and inputB pointers for next MAC calculation */ + px = pIn1 + count; + py = pIn2; + + /* Decrement the loop counter */ + blkCnt--; + } + } + else + { + /* If the srcBLen is not a multiple of 4, + * the blockSize2 loop cannot be unrolled by 4 */ + blkCnt = blockSize2; + + while (blkCnt > 0U) + { + /* Accumulator is made zero for every iteration */ + sum = 0; + + /* Loop over srcBLen */ + k = srcBLen; + + while (k > 0U) + { + /* Perform the multiply-accumulate */ + sum += ((q15_t) * px++ * *py++); + + /* Decrement the loop counter */ + k--; + } + + /* Store the result in the accumulator in the destination buffer. */ + *pOut = (q7_t) (__SSAT(sum >> 7, 8)); + /* Destination pointer is updated according to the address modifier, inc */ + pOut += inc; + + /* Increment the MAC count */ + count++; + + /* Update the inputA and inputB pointers for next MAC calculation */ + px = pIn1 + count; + py = pIn2; + + + /* Decrement the loop counter */ + blkCnt--; + } + } + + /* -------------------------- + * Initializations of stage3 + * -------------------------*/ + + /* sum += x[srcALen-srcBLen+1] * y[0] + x[srcALen-srcBLen+2] * y[1] +...+ x[srcALen-1] * y[srcBLen-1] + * sum += x[srcALen-srcBLen+2] * y[0] + x[srcALen-srcBLen+3] * y[1] +...+ x[srcALen-1] * y[srcBLen-1] + * .... + * sum += x[srcALen-2] * y[0] + x[srcALen-1] * y[1] + * sum += x[srcALen-1] * y[0] + */ + + /* In this stage the MAC operations are decreased by 1 for every iteration. + The count variable holds the number of MAC operations performed */ + count = srcBLen - 1U; + + /* Working pointer of inputA */ + pSrc1 = pIn1 + (srcALen - (srcBLen - 1U)); + px = pSrc1; + + /* Working pointer of inputB */ + py = pIn2; + + /* ------------------- + * Stage3 process + * ------------------*/ + + while (blockSize3 > 0U) + { + /* Accumulator is made zero for every iteration */ + sum = 0; + + /* Apply loop unrolling and compute 4 MACs simultaneously. */ + k = count >> 2U; + + /* First part of the processing with loop unrolling. Compute 4 MACs at a time. + ** a second loop below computes MACs for the remaining 1 to 3 samples. */ + while (k > 0U) + { + /* x[srcALen - srcBLen + 1] , x[srcALen - srcBLen + 2] */ + in1 = (q15_t) * px++; + in2 = (q15_t) * px++; + input1 = ((q31_t) in1 & 0x0000FFFF) | ((q31_t) in2 << 16); + + /* y[0] , y[1] */ + in1 = (q15_t) * py++; + in2 = (q15_t) * py++; + input2 = ((q31_t) in1 & 0x0000FFFF) | ((q31_t) in2 << 16); + + /* sum += x[srcALen - srcBLen + 1] * y[0] */ + /* sum += x[srcALen - srcBLen + 2] * y[1] */ + sum = __SMLAD(input1, input2, sum); + + /* x[srcALen - srcBLen + 3] , x[srcALen - srcBLen + 4] */ + in1 = (q15_t) * px++; + in2 = (q15_t) * px++; + input1 = ((q31_t) in1 & 0x0000FFFF) | ((q31_t) in2 << 16); + + /* y[2] , y[3] */ + in1 = (q15_t) * py++; + in2 = (q15_t) * py++; + input2 = ((q31_t) in1 & 0x0000FFFF) | ((q31_t) in2 << 16); + + /* sum += x[srcALen - srcBLen + 3] * y[2] */ + /* sum += x[srcALen - srcBLen + 4] * y[3] */ + sum = __SMLAD(input1, input2, sum); + + /* Decrement the loop counter */ + k--; + } + + /* If the count is not a multiple of 4, compute any remaining MACs here. + ** No loop unrolling is used. */ + k = count % 0x4U; + + while (k > 0U) + { + /* Perform the multiply-accumulates */ + sum += ((q15_t) * px++ * *py++); + + /* Decrement the loop counter */ + k--; + } + + /* Store the result in the accumulator in the destination buffer. */ + *pOut = (q7_t) (__SSAT(sum >> 7, 8)); + /* Destination pointer is updated according to the address modifier, inc */ + pOut += inc; + + /* Update the inputA and inputB pointers for next MAC calculation */ + px = ++pSrc1; + py = pIn2; + + /* Decrement the MAC count */ + count--; + + /* Decrement the loop counter */ + blockSize3--; + } + +#else + +/* Run the below code for Cortex-M0 */ + + q7_t *pIn1 = pSrcA; /* inputA pointer */ + q7_t *pIn2 = pSrcB + (srcBLen - 1U); /* inputB pointer */ + q31_t sum; /* Accumulator */ + uint32_t i = 0U, j; /* loop counters */ + uint32_t inv = 0U; /* Reverse order flag */ + uint32_t tot = 0U; /* Length */ + + /* The algorithm implementation is based on the lengths of the inputs. */ + /* srcB is always made to slide across srcA. */ + /* So srcBLen is always considered as shorter or equal to srcALen */ + /* But CORR(x, y) is reverse of CORR(y, x) */ + /* So, when srcBLen > srcALen, output pointer is made to point to the end of the output buffer */ + /* and a varaible, inv is set to 1 */ + /* If lengths are not equal then zero pad has to be done to make the two + * inputs of same length. But to improve the performance, we include zeroes + * in the output instead of zero padding either of the the inputs*/ + /* If srcALen > srcBLen, (srcALen - srcBLen) zeroes has to included in the + * starting of the output buffer */ + /* If srcALen < srcBLen, (srcALen - srcBLen) zeroes has to included in the + * ending of the output buffer */ + /* Once the zero padding is done the remaining of the output is calcualted + * using convolution but with the shorter signal time shifted. */ + + /* Calculate the length of the remaining sequence */ + tot = ((srcALen + srcBLen) - 2U); + + if (srcALen > srcBLen) + { + /* Calculating the number of zeros to be padded to the output */ + j = srcALen - srcBLen; + + /* Initialise the pointer after zero padding */ + pDst += j; + } + + else if (srcALen < srcBLen) + { + /* Initialization to inputB pointer */ + pIn1 = pSrcB; + + /* Initialization to the end of inputA pointer */ + pIn2 = pSrcA + (srcALen - 1U); + + /* Initialisation of the pointer after zero padding */ + pDst = pDst + tot; + + /* Swapping the lengths */ + j = srcALen; + srcALen = srcBLen; + srcBLen = j; + + /* Setting the reverse flag */ + inv = 1; + + } + + /* Loop to calculate convolution for output length number of times */ + for (i = 0U; i <= tot; i++) + { + /* Initialize sum with zero to carry on MAC operations */ + sum = 0; + + /* Loop to perform MAC operations according to convolution equation */ + for (j = 0U; j <= i; j++) + { + /* Check the array limitations */ + if ((((i - j) < srcBLen) && (j < srcALen))) + { + /* z[i] += x[i-j] * y[j] */ + sum += ((q15_t) pIn1[j] * pIn2[-((int32_t) i - j)]); + } + } + /* Store the output in the destination buffer */ + if (inv == 1) + *pDst-- = (q7_t) __SSAT((sum >> 7U), 8U); + else + *pDst++ = (q7_t) __SSAT((sum >> 7U), 8U); + } + +#endif /* #if defined (ARM_MATH_DSP) */ + +} + +/** + * @} end of Corr group + */ diff --git a/fw/hid-dials/Drivers/CMSIS/DSP/Source/FilteringFunctions/arm_fir_decimate_f32.c b/fw/hid-dials/Drivers/CMSIS/DSP/Source/FilteringFunctions/arm_fir_decimate_f32.c new file mode 100644 index 0000000..fd8e237 --- /dev/null +++ b/fw/hid-dials/Drivers/CMSIS/DSP/Source/FilteringFunctions/arm_fir_decimate_f32.c @@ -0,0 +1,512 @@ +/* ---------------------------------------------------------------------- + * Project: CMSIS DSP Library + * Title: arm_fir_decimate_f32.c + * Description: FIR decimation for floating-point sequences + * + * $Date: 27. January 2017 + * $Revision: V.1.5.1 + * + * Target Processor: Cortex-M cores + * -------------------------------------------------------------------- */ +/* + * Copyright (C) 2010-2017 ARM Limited or its affiliates. All rights reserved. + * + * SPDX-License-Identifier: Apache-2.0 + * + * Licensed under the Apache License, Version 2.0 (the License); you may + * not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an AS IS BASIS, WITHOUT + * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ + +#include "arm_math.h" + +/** + * @ingroup groupFilters + */ + +/** + * @defgroup FIR_decimate Finite Impulse Response (FIR) Decimator + * + * These functions combine an FIR filter together with a decimator. + * They are used in multirate systems for reducing the sample rate of a signal without introducing aliasing distortion. + * Conceptually, the functions are equivalent to the block diagram below: + * \image html FIRDecimator.gif "Components included in the FIR Decimator functions" + * When decimating by a factor of M, the signal should be prefiltered by a lowpass filter with a normalized + * cutoff frequency of 1/M in order to prevent aliasing distortion. + * The user of the function is responsible for providing the filter coefficients. + * + * The FIR decimator functions provided in the CMSIS DSP Library combine the FIR filter and the decimator in an efficient manner. + * Instead of calculating all of the FIR filter outputs and discarding M-1 out of every M, only the + * samples output by the decimator are computed. + * The functions operate on blocks of input and output data. + * pSrc points to an array of blockSize input values and + * pDst points to an array of blockSize/M output values. + * In order to have an integer number of output samples blockSize + * must always be a multiple of the decimation factor M. + * + * The library provides separate functions for Q15, Q31 and floating-point data types. + * + * \par Algorithm: + * The FIR portion of the algorithm uses the standard form filter: + *
+ *    y[n] = b[0] * x[n] + b[1] * x[n-1] + b[2] * x[n-2] + ...+ b[numTaps-1] * x[n-numTaps+1]
+ * 
+ * where, b[n] are the filter coefficients. + * \par + * The pCoeffs points to a coefficient array of size numTaps. + * Coefficients are stored in time reversed order. + * \par + *
+ *    {b[numTaps-1], b[numTaps-2], b[N-2], ..., b[1], b[0]}
+ * 
+ * \par + * pState points to a state array of size numTaps + blockSize - 1. + * Samples in the state buffer are stored in the order: + * \par + *
+ *    {x[n-numTaps+1], x[n-numTaps], x[n-numTaps-1], x[n-numTaps-2]....x[0], x[1], ..., x[blockSize-1]}
+ * 
+ * The state variables are updated after each block of data is processed, the coefficients are untouched. + * + * \par Instance Structure + * The coefficients and state variables for a filter are stored together in an instance data structure. + * A separate instance structure must be defined for each filter. + * Coefficient arrays may be shared among several instances while state variable array should be allocated separately. + * There are separate instance structure declarations for each of the 3 supported data types. + * + * \par Initialization Functions + * There is also an associated initialization function for each data type. + * The initialization function performs the following operations: + * - Sets the values of the internal structure fields. + * - Zeros out the values in the state buffer. + * - Checks to make sure that the size of the input is a multiple of the decimation factor. + * To do this manually without calling the init function, assign the follow subfields of the instance structure: + * numTaps, pCoeffs, M (decimation factor), pState. Also set all of the values in pState to zero. + * + * \par + * Use of the initialization function is optional. + * However, if the initialization function is used, then the instance structure cannot be placed into a const data section. + * To place an instance structure into a const data section, the instance structure must be manually initialized. + * The code below statically initializes each of the 3 different data type filter instance structures + *
+ *arm_fir_decimate_instance_f32 S = {M, numTaps, pCoeffs, pState};
+ *arm_fir_decimate_instance_q31 S = {M, numTaps, pCoeffs, pState};
+ *arm_fir_decimate_instance_q15 S = {M, numTaps, pCoeffs, pState};
+ * 
+ * where M is the decimation factor; numTaps is the number of filter coefficients in the filter; + * pCoeffs is the address of the coefficient buffer; + * pState is the address of the state buffer. + * Be sure to set the values in the state buffer to zeros when doing static initialization. + * + * \par Fixed-Point Behavior + * Care must be taken when using the fixed-point versions of the FIR decimate filter functions. + * In particular, the overflow and saturation behavior of the accumulator used in each function must be considered. + * Refer to the function specific documentation below for usage guidelines. + */ + +/** + * @addtogroup FIR_decimate + * @{ + */ + + /** + * @brief Processing function for the floating-point FIR decimator. + * @param[in] *S points to an instance of the floating-point FIR decimator structure. + * @param[in] *pSrc points to the block of input data. + * @param[out] *pDst points to the block of output data. + * @param[in] blockSize number of input samples to process per call. + * @return none. + */ + +void arm_fir_decimate_f32( + const arm_fir_decimate_instance_f32 * S, + float32_t * pSrc, + float32_t * pDst, + uint32_t blockSize) +{ + float32_t *pState = S->pState; /* State pointer */ + float32_t *pCoeffs = S->pCoeffs; /* Coefficient pointer */ + float32_t *pStateCurnt; /* Points to the current sample of the state */ + float32_t *px, *pb; /* Temporary pointers for state and coefficient buffers */ + float32_t sum0; /* Accumulator */ + float32_t x0, c0; /* Temporary variables to hold state and coefficient values */ + uint32_t numTaps = S->numTaps; /* Number of filter coefficients in the filter */ + uint32_t i, tapCnt, blkCnt, outBlockSize = blockSize / S->M; /* Loop counters */ + +#if defined (ARM_MATH_DSP) + + uint32_t blkCntN4; + float32_t *px0, *px1, *px2, *px3; + float32_t acc0, acc1, acc2, acc3; + float32_t x1, x2, x3; + + /* Run the below code for Cortex-M4 and Cortex-M3 */ + + /* S->pState buffer contains previous frame (numTaps - 1) samples */ + /* pStateCurnt points to the location where the new input data should be written */ + pStateCurnt = S->pState + (numTaps - 1U); + + /* Total number of output samples to be computed */ + blkCnt = outBlockSize / 4; + blkCntN4 = outBlockSize - (4 * blkCnt); + + while (blkCnt > 0U) + { + /* Copy 4 * decimation factor number of new input samples into the state buffer */ + i = 4 * S->M; + + do + { + *pStateCurnt++ = *pSrc++; + + } while (--i); + + /* Set accumulators to zero */ + acc0 = 0.0f; + acc1 = 0.0f; + acc2 = 0.0f; + acc3 = 0.0f; + + /* Initialize state pointer for all the samples */ + px0 = pState; + px1 = pState + S->M; + px2 = pState + 2 * S->M; + px3 = pState + 3 * S->M; + + /* Initialize coeff pointer */ + pb = pCoeffs; + + /* Loop unrolling. Process 4 taps at a time. */ + tapCnt = numTaps >> 2; + + /* Loop over the number of taps. Unroll by a factor of 4. + ** Repeat until we've computed numTaps-4 coefficients. */ + + while (tapCnt > 0U) + { + /* Read the b[numTaps-1] coefficient */ + c0 = *(pb++); + + /* Read x[n-numTaps-1] sample for acc0 */ + x0 = *(px0++); + /* Read x[n-numTaps-1] sample for acc1 */ + x1 = *(px1++); + /* Read x[n-numTaps-1] sample for acc2 */ + x2 = *(px2++); + /* Read x[n-numTaps-1] sample for acc3 */ + x3 = *(px3++); + + /* Perform the multiply-accumulate */ + acc0 += x0 * c0; + acc1 += x1 * c0; + acc2 += x2 * c0; + acc3 += x3 * c0; + + /* Read the b[numTaps-2] coefficient */ + c0 = *(pb++); + + /* Read x[n-numTaps-2] sample for acc0, acc1, acc2, acc3 */ + x0 = *(px0++); + x1 = *(px1++); + x2 = *(px2++); + x3 = *(px3++); + + /* Perform the multiply-accumulate */ + acc0 += x0 * c0; + acc1 += x1 * c0; + acc2 += x2 * c0; + acc3 += x3 * c0; + + /* Read the b[numTaps-3] coefficient */ + c0 = *(pb++); + + /* Read x[n-numTaps-3] sample acc0, acc1, acc2, acc3 */ + x0 = *(px0++); + x1 = *(px1++); + x2 = *(px2++); + x3 = *(px3++); + + /* Perform the multiply-accumulate */ + acc0 += x0 * c0; + acc1 += x1 * c0; + acc2 += x2 * c0; + acc3 += x3 * c0; + + /* Read the b[numTaps-4] coefficient */ + c0 = *(pb++); + + /* Read x[n-numTaps-4] sample acc0, acc1, acc2, acc3 */ + x0 = *(px0++); + x1 = *(px1++); + x2 = *(px2++); + x3 = *(px3++); + + /* Perform the multiply-accumulate */ + acc0 += x0 * c0; + acc1 += x1 * c0; + acc2 += x2 * c0; + acc3 += x3 * c0; + + /* Decrement the loop counter */ + tapCnt--; + } + + /* If the filter length is not a multiple of 4, compute the remaining filter taps */ + tapCnt = numTaps % 0x4U; + + while (tapCnt > 0U) + { + /* Read coefficients */ + c0 = *(pb++); + + /* Fetch state variables for acc0, acc1, acc2, acc3 */ + x0 = *(px0++); + x1 = *(px1++); + x2 = *(px2++); + x3 = *(px3++); + + /* Perform the multiply-accumulate */ + acc0 += x0 * c0; + acc1 += x1 * c0; + acc2 += x2 * c0; + acc3 += x3 * c0; + + /* Decrement the loop counter */ + tapCnt--; + } + + /* Advance the state pointer by the decimation factor + * to process the next group of decimation factor number samples */ + pState = pState + 4 * S->M; + + /* The result is in the accumulator, store in the destination buffer. */ + *pDst++ = acc0; + *pDst++ = acc1; + *pDst++ = acc2; + *pDst++ = acc3; + + /* Decrement the loop counter */ + blkCnt--; + } + + while (blkCntN4 > 0U) + { + /* Copy decimation factor number of new input samples into the state buffer */ + i = S->M; + + do + { + *pStateCurnt++ = *pSrc++; + + } while (--i); + + /* Set accumulator to zero */ + sum0 = 0.0f; + + /* Initialize state pointer */ + px = pState; + + /* Initialize coeff pointer */ + pb = pCoeffs; + + /* Loop unrolling. Process 4 taps at a time. */ + tapCnt = numTaps >> 2; + + /* Loop over the number of taps. Unroll by a factor of 4. + ** Repeat until we've computed numTaps-4 coefficients. */ + while (tapCnt > 0U) + { + /* Read the b[numTaps-1] coefficient */ + c0 = *(pb++); + + /* Read x[n-numTaps-1] sample */ + x0 = *(px++); + + /* Perform the multiply-accumulate */ + sum0 += x0 * c0; + + /* Read the b[numTaps-2] coefficient */ + c0 = *(pb++); + + /* Read x[n-numTaps-2] sample */ + x0 = *(px++); + + /* Perform the multiply-accumulate */ + sum0 += x0 * c0; + + /* Read the b[numTaps-3] coefficient */ + c0 = *(pb++); + + /* Read x[n-numTaps-3] sample */ + x0 = *(px++); + + /* Perform the multiply-accumulate */ + sum0 += x0 * c0; + + /* Read the b[numTaps-4] coefficient */ + c0 = *(pb++); + + /* Read x[n-numTaps-4] sample */ + x0 = *(px++); + + /* Perform the multiply-accumulate */ + sum0 += x0 * c0; + + /* Decrement the loop counter */ + tapCnt--; + } + + /* If the filter length is not a multiple of 4, compute the remaining filter taps */ + tapCnt = numTaps % 0x4U; + + while (tapCnt > 0U) + { + /* Read coefficients */ + c0 = *(pb++); + + /* Fetch 1 state variable */ + x0 = *(px++); + + /* Perform the multiply-accumulate */ + sum0 += x0 * c0; + + /* Decrement the loop counter */ + tapCnt--; + } + + /* Advance the state pointer by the decimation factor + * to process the next group of decimation factor number samples */ + pState = pState + S->M; + + /* The result is in the accumulator, store in the destination buffer. */ + *pDst++ = sum0; + + /* Decrement the loop counter */ + blkCntN4--; + } + + /* Processing is complete. + ** Now copy the last numTaps - 1 samples to the satrt of the state buffer. + ** This prepares the state buffer for the next function call. */ + + /* Points to the start of the state buffer */ + pStateCurnt = S->pState; + + i = (numTaps - 1U) >> 2; + + /* copy data */ + while (i > 0U) + { + *pStateCurnt++ = *pState++; + *pStateCurnt++ = *pState++; + *pStateCurnt++ = *pState++; + *pStateCurnt++ = *pState++; + + /* Decrement the loop counter */ + i--; + } + + i = (numTaps - 1U) % 0x04U; + + /* copy data */ + while (i > 0U) + { + *pStateCurnt++ = *pState++; + + /* Decrement the loop counter */ + i--; + } + +#else + +/* Run the below code for Cortex-M0 */ + + /* S->pState buffer contains previous frame (numTaps - 1) samples */ + /* pStateCurnt points to the location where the new input data should be written */ + pStateCurnt = S->pState + (numTaps - 1U); + + /* Total number of output samples to be computed */ + blkCnt = outBlockSize; + + while (blkCnt > 0U) + { + /* Copy decimation factor number of new input samples into the state buffer */ + i = S->M; + + do + { + *pStateCurnt++ = *pSrc++; + + } while (--i); + + /* Set accumulator to zero */ + sum0 = 0.0f; + + /* Initialize state pointer */ + px = pState; + + /* Initialize coeff pointer */ + pb = pCoeffs; + + tapCnt = numTaps; + + while (tapCnt > 0U) + { + /* Read coefficients */ + c0 = *pb++; + + /* Fetch 1 state variable */ + x0 = *px++; + + /* Perform the multiply-accumulate */ + sum0 += x0 * c0; + + /* Decrement the loop counter */ + tapCnt--; + } + + /* Advance the state pointer by the decimation factor + * to process the next group of decimation factor number samples */ + pState = pState + S->M; + + /* The result is in the accumulator, store in the destination buffer. */ + *pDst++ = sum0; + + /* Decrement the loop counter */ + blkCnt--; + } + + /* Processing is complete. + ** Now copy the last numTaps - 1 samples to the start of the state buffer. + ** This prepares the state buffer for the next function call. */ + + /* Points to the start of the state buffer */ + pStateCurnt = S->pState; + + /* Copy numTaps number of values */ + i = (numTaps - 1U); + + /* copy data */ + while (i > 0U) + { + *pStateCurnt++ = *pState++; + + /* Decrement the loop counter */ + i--; + } + +#endif /* #if defined (ARM_MATH_DSP) */ + +} + +/** + * @} end of FIR_decimate group + */ diff --git a/fw/hid-dials/Drivers/CMSIS/DSP/Source/FilteringFunctions/arm_fir_decimate_fast_q15.c b/fw/hid-dials/Drivers/CMSIS/DSP/Source/FilteringFunctions/arm_fir_decimate_fast_q15.c new file mode 100644 index 0000000..684640e --- /dev/null +++ b/fw/hid-dials/Drivers/CMSIS/DSP/Source/FilteringFunctions/arm_fir_decimate_fast_q15.c @@ -0,0 +1,586 @@ +/* ---------------------------------------------------------------------- + * Project: CMSIS DSP Library + * Title: arm_fir_decimate_fast_q15.c + * Description: Fast Q15 FIR Decimator + * + * $Date: 27. January 2017 + * $Revision: V.1.5.1 + * + * Target Processor: Cortex-M cores + * -------------------------------------------------------------------- */ +/* + * Copyright (C) 2010-2017 ARM Limited or its affiliates. All rights reserved. + * + * SPDX-License-Identifier: Apache-2.0 + * + * Licensed under the Apache License, Version 2.0 (the License); you may + * not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an AS IS BASIS, WITHOUT + * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ + +#include "arm_math.h" + +/** + * @ingroup groupFilters + */ + +/** + * @addtogroup FIR_decimate + * @{ + */ + +/** + * @brief Processing function for the Q15 FIR decimator (fast variant) for Cortex-M3 and Cortex-M4. + * @param[in] *S points to an instance of the Q15 FIR decimator structure. + * @param[in] *pSrc points to the block of input data. + * @param[out] *pDst points to the block of output data + * @param[in] blockSize number of input samples to process per call. + * @return none + * + * \par Restrictions + * If the silicon does not support unaligned memory access enable the macro UNALIGNED_SUPPORT_DISABLE + * In this case input, output, state buffers should be aligned by 32-bit + * + * Scaling and Overflow Behavior: + * \par + * This fast version uses a 32-bit accumulator with 2.30 format. + * The accumulator maintains full precision of the intermediate multiplication results but provides only a single guard bit. + * Thus, if the accumulator result overflows it wraps around and distorts the result. + * In order to avoid overflows completely the input signal must be scaled down by log2(numTaps) bits (log2 is read as log to the base 2). + * The 2.30 accumulator is then truncated to 2.15 format and saturated to yield the 1.15 result. + * + * \par + * Refer to the function arm_fir_decimate_q15() for a slower implementation of this function which uses 64-bit accumulation to avoid wrap around distortion. + * Both the slow and the fast versions use the same instance structure. + * Use the function arm_fir_decimate_init_q15() to initialize the filter structure. + */ + +#ifndef UNALIGNED_SUPPORT_DISABLE + +void arm_fir_decimate_fast_q15( + const arm_fir_decimate_instance_q15 * S, + q15_t * pSrc, + q15_t * pDst, + uint32_t blockSize) +{ + q15_t *pState = S->pState; /* State pointer */ + q15_t *pCoeffs = S->pCoeffs; /* Coefficient pointer */ + q15_t *pStateCurnt; /* Points to the current sample of the state */ + q15_t *px; /* Temporary pointer for state buffer */ + q15_t *pb; /* Temporary pointer coefficient buffer */ + q31_t x0, x1, c0, c1; /* Temporary variables to hold state and coefficient values */ + q31_t sum0; /* Accumulators */ + q31_t acc0, acc1; + q15_t *px0, *px1; + uint32_t blkCntN3; + uint32_t numTaps = S->numTaps; /* Number of taps */ + uint32_t i, blkCnt, tapCnt, outBlockSize = blockSize / S->M; /* Loop counters */ + + + /* S->pState buffer contains previous frame (numTaps - 1) samples */ + /* pStateCurnt points to the location where the new input data should be written */ + pStateCurnt = S->pState + (numTaps - 1U); + + + /* Total number of output samples to be computed */ + blkCnt = outBlockSize / 2; + blkCntN3 = outBlockSize - (2 * blkCnt); + + + while (blkCnt > 0U) + { + /* Copy decimation factor number of new input samples into the state buffer */ + i = 2 * S->M; + + do + { + *pStateCurnt++ = *pSrc++; + + } while (--i); + + /* Set accumulator to zero */ + acc0 = 0; + acc1 = 0; + + /* Initialize state pointer */ + px0 = pState; + + px1 = pState + S->M; + + + /* Initialize coeff pointer */ + pb = pCoeffs; + + /* Loop unrolling. Process 4 taps at a time. */ + tapCnt = numTaps >> 2; + + /* Loop over the number of taps. Unroll by a factor of 4. + ** Repeat until we've computed numTaps-4 coefficients. */ + while (tapCnt > 0U) + { + /* Read the Read b[numTaps-1] and b[numTaps-2] coefficients */ + c0 = *__SIMD32(pb)++; + + /* Read x[n-numTaps-1] and x[n-numTaps-2]sample */ + x0 = *__SIMD32(px0)++; + + x1 = *__SIMD32(px1)++; + + /* Perform the multiply-accumulate */ + acc0 = __SMLAD(x0, c0, acc0); + + acc1 = __SMLAD(x1, c0, acc1); + + /* Read the b[numTaps-3] and b[numTaps-4] coefficient */ + c0 = *__SIMD32(pb)++; + + /* Read x[n-numTaps-2] and x[n-numTaps-3] sample */ + x0 = *__SIMD32(px0)++; + + x1 = *__SIMD32(px1)++; + + /* Perform the multiply-accumulate */ + acc0 = __SMLAD(x0, c0, acc0); + + acc1 = __SMLAD(x1, c0, acc1); + + /* Decrement the loop counter */ + tapCnt--; + } + + /* If the filter length is not a multiple of 4, compute the remaining filter taps */ + tapCnt = numTaps % 0x4U; + + while (tapCnt > 0U) + { + /* Read coefficients */ + c0 = *pb++; + + /* Fetch 1 state variable */ + x0 = *px0++; + + x1 = *px1++; + + /* Perform the multiply-accumulate */ + acc0 = __SMLAD(x0, c0, acc0); + acc1 = __SMLAD(x1, c0, acc1); + + /* Decrement the loop counter */ + tapCnt--; + } + + /* Advance the state pointer by the decimation factor + * to process the next group of decimation factor number samples */ + pState = pState + S->M * 2; + + /* Store filter output, smlad returns the values in 2.14 format */ + /* so downsacle by 15 to get output in 1.15 */ + *pDst++ = (q15_t) (__SSAT((acc0 >> 15), 16)); + *pDst++ = (q15_t) (__SSAT((acc1 >> 15), 16)); + + /* Decrement the loop counter */ + blkCnt--; + } + + + + while (blkCntN3 > 0U) + { + /* Copy decimation factor number of new input samples into the state buffer */ + i = S->M; + + do + { + *pStateCurnt++ = *pSrc++; + + } while (--i); + + /*Set sum to zero */ + sum0 = 0; + + /* Initialize state pointer */ + px = pState; + + /* Initialize coeff pointer */ + pb = pCoeffs; + + /* Loop unrolling. Process 4 taps at a time. */ + tapCnt = numTaps >> 2; + + /* Loop over the number of taps. Unroll by a factor of 4. + ** Repeat until we've computed numTaps-4 coefficients. */ + while (tapCnt > 0U) + { + /* Read the Read b[numTaps-1] and b[numTaps-2] coefficients */ + c0 = *__SIMD32(pb)++; + + /* Read x[n-numTaps-1] and x[n-numTaps-2]sample */ + x0 = *__SIMD32(px)++; + + /* Read the b[numTaps-3] and b[numTaps-4] coefficient */ + c1 = *__SIMD32(pb)++; + + /* Perform the multiply-accumulate */ + sum0 = __SMLAD(x0, c0, sum0); + + /* Read x[n-numTaps-2] and x[n-numTaps-3] sample */ + x0 = *__SIMD32(px)++; + + /* Perform the multiply-accumulate */ + sum0 = __SMLAD(x0, c1, sum0); + + /* Decrement the loop counter */ + tapCnt--; + } + + /* If the filter length is not a multiple of 4, compute the remaining filter taps */ + tapCnt = numTaps % 0x4U; + + while (tapCnt > 0U) + { + /* Read coefficients */ + c0 = *pb++; + + /* Fetch 1 state variable */ + x0 = *px++; + + /* Perform the multiply-accumulate */ + sum0 = __SMLAD(x0, c0, sum0); + + /* Decrement the loop counter */ + tapCnt--; + } + + /* Advance the state pointer by the decimation factor + * to process the next group of decimation factor number samples */ + pState = pState + S->M; + + /* Store filter output, smlad returns the values in 2.14 format */ + /* so downsacle by 15 to get output in 1.15 */ + *pDst++ = (q15_t) (__SSAT((sum0 >> 15), 16)); + + /* Decrement the loop counter */ + blkCntN3--; + } + + /* Processing is complete. + ** Now copy the last numTaps - 1 samples to the satrt of the state buffer. + ** This prepares the state buffer for the next function call. */ + + /* Points to the start of the state buffer */ + pStateCurnt = S->pState; + + i = (numTaps - 1U) >> 2U; + + /* copy data */ + while (i > 0U) + { + *__SIMD32(pStateCurnt)++ = *__SIMD32(pState)++; + *__SIMD32(pStateCurnt)++ = *__SIMD32(pState)++; + + /* Decrement the loop counter */ + i--; + } + + i = (numTaps - 1U) % 0x04U; + + /* copy data */ + while (i > 0U) + { + *pStateCurnt++ = *pState++; + + /* Decrement the loop counter */ + i--; + } +} + +#else + + +void arm_fir_decimate_fast_q15( + const arm_fir_decimate_instance_q15 * S, + q15_t * pSrc, + q15_t * pDst, + uint32_t blockSize) +{ + q15_t *pState = S->pState; /* State pointer */ + q15_t *pCoeffs = S->pCoeffs; /* Coefficient pointer */ + q15_t *pStateCurnt; /* Points to the current sample of the state */ + q15_t *px; /* Temporary pointer for state buffer */ + q15_t *pb; /* Temporary pointer coefficient buffer */ + q15_t x0, x1, c0; /* Temporary variables to hold state and coefficient values */ + q31_t sum0; /* Accumulators */ + q31_t acc0, acc1; + q15_t *px0, *px1; + uint32_t blkCntN3; + uint32_t numTaps = S->numTaps; /* Number of taps */ + uint32_t i, blkCnt, tapCnt, outBlockSize = blockSize / S->M; /* Loop counters */ + + + /* S->pState buffer contains previous frame (numTaps - 1) samples */ + /* pStateCurnt points to the location where the new input data should be written */ + pStateCurnt = S->pState + (numTaps - 1U); + + + /* Total number of output samples to be computed */ + blkCnt = outBlockSize / 2; + blkCntN3 = outBlockSize - (2 * blkCnt); + + while (blkCnt > 0U) + { + /* Copy decimation factor number of new input samples into the state buffer */ + i = 2 * S->M; + + do + { + *pStateCurnt++ = *pSrc++; + + } while (--i); + + /* Set accumulator to zero */ + acc0 = 0; + acc1 = 0; + + /* Initialize state pointer */ + px0 = pState; + + px1 = pState + S->M; + + + /* Initialize coeff pointer */ + pb = pCoeffs; + + /* Loop unrolling. Process 4 taps at a time. */ + tapCnt = numTaps >> 2; + + /* Loop over the number of taps. Unroll by a factor of 4. + ** Repeat until we've computed numTaps-4 coefficients. */ + while (tapCnt > 0U) + { + /* Read the Read b[numTaps-1] coefficients */ + c0 = *pb++; + + /* Read x[n-numTaps-1] for sample 0 and for sample 1 */ + x0 = *px0++; + x1 = *px1++; + + /* Perform the multiply-accumulate */ + acc0 += x0 * c0; + acc1 += x1 * c0; + + /* Read the b[numTaps-2] coefficient */ + c0 = *pb++; + + /* Read x[n-numTaps-2] for sample 0 and sample 1 */ + x0 = *px0++; + x1 = *px1++; + + /* Perform the multiply-accumulate */ + acc0 += x0 * c0; + acc1 += x1 * c0; + + /* Read the b[numTaps-3] coefficients */ + c0 = *pb++; + + /* Read x[n-numTaps-3] for sample 0 and sample 1 */ + x0 = *px0++; + x1 = *px1++; + + /* Perform the multiply-accumulate */ + acc0 += x0 * c0; + acc1 += x1 * c0; + + /* Read the b[numTaps-4] coefficient */ + c0 = *pb++; + + /* Read x[n-numTaps-4] for sample 0 and sample 1 */ + x0 = *px0++; + x1 = *px1++; + + /* Perform the multiply-accumulate */ + acc0 += x0 * c0; + acc1 += x1 * c0; + + /* Decrement the loop counter */ + tapCnt--; + } + + /* If the filter length is not a multiple of 4, compute the remaining filter taps */ + tapCnt = numTaps % 0x4U; + + while (tapCnt > 0U) + { + /* Read coefficients */ + c0 = *pb++; + + /* Fetch 1 state variable */ + x0 = *px0++; + x1 = *px1++; + + /* Perform the multiply-accumulate */ + acc0 += x0 * c0; + acc1 += x1 * c0; + + /* Decrement the loop counter */ + tapCnt--; + } + + /* Advance the state pointer by the decimation factor + * to process the next group of decimation factor number samples */ + pState = pState + S->M * 2; + + /* Store filter output, smlad returns the values in 2.14 format */ + /* so downsacle by 15 to get output in 1.15 */ + + *pDst++ = (q15_t) (__SSAT((acc0 >> 15), 16)); + *pDst++ = (q15_t) (__SSAT((acc1 >> 15), 16)); + + + /* Decrement the loop counter */ + blkCnt--; + } + + while (blkCntN3 > 0U) + { + /* Copy decimation factor number of new input samples into the state buffer */ + i = S->M; + + do + { + *pStateCurnt++ = *pSrc++; + + } while (--i); + + /*Set sum to zero */ + sum0 = 0; + + /* Initialize state pointer */ + px = pState; + + /* Initialize coeff pointer */ + pb = pCoeffs; + + /* Loop unrolling. Process 4 taps at a time. */ + tapCnt = numTaps >> 2; + + /* Loop over the number of taps. Unroll by a factor of 4. + ** Repeat until we've computed numTaps-4 coefficients. */ + while (tapCnt > 0U) + { + /* Read the Read b[numTaps-1] coefficients */ + c0 = *pb++; + + /* Read x[n-numTaps-1] and sample */ + x0 = *px++; + + /* Perform the multiply-accumulate */ + sum0 += x0 * c0; + + /* Read the b[numTaps-2] coefficient */ + c0 = *pb++; + + /* Read x[n-numTaps-2] and sample */ + x0 = *px++; + + /* Perform the multiply-accumulate */ + sum0 += x0 * c0; + + /* Read the b[numTaps-3] coefficients */ + c0 = *pb++; + + /* Read x[n-numTaps-3] sample */ + x0 = *px++; + + /* Perform the multiply-accumulate */ + sum0 += x0 * c0; + + /* Read the b[numTaps-4] coefficient */ + c0 = *pb++; + + /* Read x[n-numTaps-4] sample */ + x0 = *px++; + + /* Perform the multiply-accumulate */ + sum0 += x0 * c0; + + /* Decrement the loop counter */ + tapCnt--; + } + + /* If the filter length is not a multiple of 4, compute the remaining filter taps */ + tapCnt = numTaps % 0x4U; + + while (tapCnt > 0U) + { + /* Read coefficients */ + c0 = *pb++; + + /* Fetch 1 state variable */ + x0 = *px++; + + /* Perform the multiply-accumulate */ + sum0 += x0 * c0; + + /* Decrement the loop counter */ + tapCnt--; + } + + /* Advance the state pointer by the decimation factor + * to process the next group of decimation factor number samples */ + pState = pState + S->M; + + /* Store filter output, smlad returns the values in 2.14 format */ + /* so downsacle by 15 to get output in 1.15 */ + *pDst++ = (q15_t) (__SSAT((sum0 >> 15), 16)); + + /* Decrement the loop counter */ + blkCntN3--; + } + + /* Processing is complete. + ** Now copy the last numTaps - 1 samples to the satrt of the state buffer. + ** This prepares the state buffer for the next function call. */ + + /* Points to the start of the state buffer */ + pStateCurnt = S->pState; + + i = (numTaps - 1U) >> 2U; + + /* copy data */ + while (i > 0U) + { + *pStateCurnt++ = *pState++; + *pStateCurnt++ = *pState++; + *pStateCurnt++ = *pState++; + *pStateCurnt++ = *pState++; + + /* Decrement the loop counter */ + i--; + } + + i = (numTaps - 1U) % 0x04U; + + /* copy data */ + while (i > 0U) + { + *pStateCurnt++ = *pState++; + + /* Decrement the loop counter */ + i--; + } +} + + +#endif /* #ifndef UNALIGNED_SUPPORT_DISABLE */ + +/** + * @} end of FIR_decimate group + */ diff --git a/fw/hid-dials/Drivers/CMSIS/DSP/Source/FilteringFunctions/arm_fir_decimate_fast_q31.c b/fw/hid-dials/Drivers/CMSIS/DSP/Source/FilteringFunctions/arm_fir_decimate_fast_q31.c new file mode 100644 index 0000000..46b7d3d --- /dev/null +++ b/fw/hid-dials/Drivers/CMSIS/DSP/Source/FilteringFunctions/arm_fir_decimate_fast_q31.c @@ -0,0 +1,339 @@ +/* ---------------------------------------------------------------------- + * Project: CMSIS DSP Library + * Title: arm_fir_decimate_fast_q31.c + * Description: Fast Q31 FIR Decimator + * + * $Date: 27. January 2017 + * $Revision: V.1.5.1 + * + * Target Processor: Cortex-M cores + * -------------------------------------------------------------------- */ +/* + * Copyright (C) 2010-2017 ARM Limited or its affiliates. All rights reserved. + * + * SPDX-License-Identifier: Apache-2.0 + * + * Licensed under the Apache License, Version 2.0 (the License); you may + * not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an AS IS BASIS, WITHOUT + * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ + +#include "arm_math.h" + +/** + * @ingroup groupFilters + */ + +/** + * @addtogroup FIR_decimate + * @{ + */ + +/** + * @brief Processing function for the Q31 FIR decimator (fast variant) for Cortex-M3 and Cortex-M4. + * @param[in] *S points to an instance of the Q31 FIR decimator structure. + * @param[in] *pSrc points to the block of input data. + * @param[out] *pDst points to the block of output data + * @param[in] blockSize number of input samples to process per call. + * @return none + * + * Scaling and Overflow Behavior: + * + * \par + * This function is optimized for speed at the expense of fixed-point precision and overflow protection. + * The result of each 1.31 x 1.31 multiplication is truncated to 2.30 format. + * These intermediate results are added to a 2.30 accumulator. + * Finally, the accumulator is saturated and converted to a 1.31 result. + * The fast version has the same overflow behavior as the standard version and provides less precision since it discards the low 32 bits of each multiplication result. + * In order to avoid overflows completely the input signal must be scaled down by log2(numTaps) bits (where log2 is read as log to the base 2). + * + * \par + * Refer to the function arm_fir_decimate_q31() for a slower implementation of this function which uses a 64-bit accumulator to provide higher precision. + * Both the slow and the fast versions use the same instance structure. + * Use the function arm_fir_decimate_init_q31() to initialize the filter structure. + */ + +void arm_fir_decimate_fast_q31( + arm_fir_decimate_instance_q31 * S, + q31_t * pSrc, + q31_t * pDst, + uint32_t blockSize) +{ + q31_t *pState = S->pState; /* State pointer */ + q31_t *pCoeffs = S->pCoeffs; /* Coefficient pointer */ + q31_t *pStateCurnt; /* Points to the current sample of the state */ + q31_t x0, c0; /* Temporary variables to hold state and coefficient values */ + q31_t *px; /* Temporary pointers for state buffer */ + q31_t *pb; /* Temporary pointers for coefficient buffer */ + q31_t sum0; /* Accumulator */ + uint32_t numTaps = S->numTaps; /* Number of taps */ + uint32_t i, tapCnt, blkCnt, outBlockSize = blockSize / S->M; /* Loop counters */ + uint32_t blkCntN2; + q31_t x1; + q31_t acc0, acc1; + q31_t *px0, *px1; + + /* S->pState buffer contains previous frame (numTaps - 1) samples */ + /* pStateCurnt points to the location where the new input data should be written */ + pStateCurnt = S->pState + (numTaps - 1U); + + /* Total number of output samples to be computed */ + + blkCnt = outBlockSize / 2; + blkCntN2 = outBlockSize - (2 * blkCnt); + + while (blkCnt > 0U) + { + /* Copy decimation factor number of new input samples into the state buffer */ + i = 2 * S->M; + + do + { + *pStateCurnt++ = *pSrc++; + + } while (--i); + + /* Set accumulator to zero */ + acc0 = 0; + acc1 = 0; + + /* Initialize state pointer */ + px0 = pState; + px1 = pState + S->M; + + /* Initialize coeff pointer */ + pb = pCoeffs; + + /* Loop unrolling. Process 4 taps at a time. */ + tapCnt = numTaps >> 2; + + /* Loop over the number of taps. Unroll by a factor of 4. + ** Repeat until we've computed numTaps-4 coefficients. */ + while (tapCnt > 0U) + { + /* Read the b[numTaps-1] coefficient */ + c0 = *(pb); + + /* Read x[n-numTaps-1] for sample 0 sample 1 */ + x0 = *(px0); + x1 = *(px1); + + /* Perform the multiply-accumulate */ + acc0 = (q31_t) ((((q63_t) acc0 << 32) + ((q63_t) x0 * c0)) >> 32); + acc1 = (q31_t) ((((q63_t) acc1 << 32) + ((q63_t) x1 * c0)) >> 32); + + /* Read the b[numTaps-2] coefficient */ + c0 = *(pb + 1U); + + /* Read x[n-numTaps-2] for sample 0 sample 1 */ + x0 = *(px0 + 1U); + x1 = *(px1 + 1U); + + /* Perform the multiply-accumulate */ + acc0 = (q31_t) ((((q63_t) acc0 << 32) + ((q63_t) x0 * c0)) >> 32); + acc1 = (q31_t) ((((q63_t) acc1 << 32) + ((q63_t) x1 * c0)) >> 32); + + /* Read the b[numTaps-3] coefficient */ + c0 = *(pb + 2U); + + /* Read x[n-numTaps-3] for sample 0 sample 1 */ + x0 = *(px0 + 2U); + x1 = *(px1 + 2U); + pb += 4U; + + /* Perform the multiply-accumulate */ + acc0 = (q31_t) ((((q63_t) acc0 << 32) + ((q63_t) x0 * c0)) >> 32); + acc1 = (q31_t) ((((q63_t) acc1 << 32) + ((q63_t) x1 * c0)) >> 32); + + /* Read the b[numTaps-4] coefficient */ + c0 = *(pb - 1U); + + /* Read x[n-numTaps-4] for sample 0 sample 1 */ + x0 = *(px0 + 3U); + x1 = *(px1 + 3U); + + + /* Perform the multiply-accumulate */ + acc0 = (q31_t) ((((q63_t) acc0 << 32) + ((q63_t) x0 * c0)) >> 32); + acc1 = (q31_t) ((((q63_t) acc1 << 32) + ((q63_t) x1 * c0)) >> 32); + + /* update state pointers */ + px0 += 4U; + px1 += 4U; + + /* Decrement the loop counter */ + tapCnt--; + } + + /* If the filter length is not a multiple of 4, compute the remaining filter taps */ + tapCnt = numTaps % 0x4U; + + while (tapCnt > 0U) + { + /* Read coefficients */ + c0 = *(pb++); + + /* Fetch 1 state variable */ + x0 = *(px0++); + x1 = *(px1++); + + /* Perform the multiply-accumulate */ + acc0 = (q31_t) ((((q63_t) acc0 << 32) + ((q63_t) x0 * c0)) >> 32); + acc1 = (q31_t) ((((q63_t) acc1 << 32) + ((q63_t) x1 * c0)) >> 32); + + /* Decrement the loop counter */ + tapCnt--; + } + + /* Advance the state pointer by the decimation factor + * to process the next group of decimation factor number samples */ + pState = pState + S->M * 2; + + /* The result is in the accumulator, store in the destination buffer. */ + *pDst++ = (q31_t) (acc0 << 1); + *pDst++ = (q31_t) (acc1 << 1); + + /* Decrement the loop counter */ + blkCnt--; + } + + while (blkCntN2 > 0U) + { + /* Copy decimation factor number of new input samples into the state buffer */ + i = S->M; + + do + { + *pStateCurnt++ = *pSrc++; + + } while (--i); + + /* Set accumulator to zero */ + sum0 = 0; + + /* Initialize state pointer */ + px = pState; + + /* Initialize coeff pointer */ + pb = pCoeffs; + + /* Loop unrolling. Process 4 taps at a time. */ + tapCnt = numTaps >> 2; + + /* Loop over the number of taps. Unroll by a factor of 4. + ** Repeat until we've computed numTaps-4 coefficients. */ + while (tapCnt > 0U) + { + /* Read the b[numTaps-1] coefficient */ + c0 = *(pb++); + + /* Read x[n-numTaps-1] sample */ + x0 = *(px++); + + /* Perform the multiply-accumulate */ + sum0 = (q31_t) ((((q63_t) sum0 << 32) + ((q63_t) x0 * c0)) >> 32); + + /* Read the b[numTaps-2] coefficient */ + c0 = *(pb++); + + /* Read x[n-numTaps-2] sample */ + x0 = *(px++); + + /* Perform the multiply-accumulate */ + sum0 = (q31_t) ((((q63_t) sum0 << 32) + ((q63_t) x0 * c0)) >> 32); + + /* Read the b[numTaps-3] coefficient */ + c0 = *(pb++); + + /* Read x[n-numTaps-3] sample */ + x0 = *(px++); + + /* Perform the multiply-accumulate */ + sum0 = (q31_t) ((((q63_t) sum0 << 32) + ((q63_t) x0 * c0)) >> 32); + + /* Read the b[numTaps-4] coefficient */ + c0 = *(pb++); + + /* Read x[n-numTaps-4] sample */ + x0 = *(px++); + + /* Perform the multiply-accumulate */ + sum0 = (q31_t) ((((q63_t) sum0 << 32) + ((q63_t) x0 * c0)) >> 32); + + /* Decrement the loop counter */ + tapCnt--; + } + + /* If the filter length is not a multiple of 4, compute the remaining filter taps */ + tapCnt = numTaps % 0x4U; + + while (tapCnt > 0U) + { + /* Read coefficients */ + c0 = *(pb++); + + /* Fetch 1 state variable */ + x0 = *(px++); + + /* Perform the multiply-accumulate */ + sum0 = (q31_t) ((((q63_t) sum0 << 32) + ((q63_t) x0 * c0)) >> 32); + + /* Decrement the loop counter */ + tapCnt--; + } + + /* Advance the state pointer by the decimation factor + * to process the next group of decimation factor number samples */ + pState = pState + S->M; + + /* The result is in the accumulator, store in the destination buffer. */ + *pDst++ = (q31_t) (sum0 << 1); + + /* Decrement the loop counter */ + blkCntN2--; + } + + /* Processing is complete. + ** Now copy the last numTaps - 1 samples to the satrt of the state buffer. + ** This prepares the state buffer for the next function call. */ + + /* Points to the start of the state buffer */ + pStateCurnt = S->pState; + + i = (numTaps - 1U) >> 2U; + + /* copy data */ + while (i > 0U) + { + *pStateCurnt++ = *pState++; + *pStateCurnt++ = *pState++; + *pStateCurnt++ = *pState++; + *pStateCurnt++ = *pState++; + + /* Decrement the loop counter */ + i--; + } + + i = (numTaps - 1U) % 0x04U; + + /* copy data */ + while (i > 0U) + { + *pStateCurnt++ = *pState++; + + /* Decrement the loop counter */ + i--; + } +} + +/** + * @} end of FIR_decimate group + */ diff --git a/fw/hid-dials/Drivers/CMSIS/DSP/Source/FilteringFunctions/arm_fir_decimate_init_f32.c b/fw/hid-dials/Drivers/CMSIS/DSP/Source/FilteringFunctions/arm_fir_decimate_init_f32.c new file mode 100644 index 0000000..45797dc --- /dev/null +++ b/fw/hid-dials/Drivers/CMSIS/DSP/Source/FilteringFunctions/arm_fir_decimate_init_f32.c @@ -0,0 +1,105 @@ +/* ---------------------------------------------------------------------- + * Project: CMSIS DSP Library + * Title: arm_fir_decimate_init_f32.c + * Description: Floating-point FIR Decimator initialization function + * + * $Date: 27. January 2017 + * $Revision: V.1.5.1 + * + * Target Processor: Cortex-M cores + * -------------------------------------------------------------------- */ +/* + * Copyright (C) 2010-2017 ARM Limited or its affiliates. All rights reserved. + * + * SPDX-License-Identifier: Apache-2.0 + * + * Licensed under the Apache License, Version 2.0 (the License); you may + * not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an AS IS BASIS, WITHOUT + * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ + +#include "arm_math.h" + +/** + * @ingroup groupFilters + */ + +/** + * @addtogroup FIR_decimate + * @{ + */ + +/** + * @brief Initialization function for the floating-point FIR decimator. + * @param[in,out] *S points to an instance of the floating-point FIR decimator structure. + * @param[in] numTaps number of coefficients in the filter. + * @param[in] M decimation factor. + * @param[in] *pCoeffs points to the filter coefficients. + * @param[in] *pState points to the state buffer. + * @param[in] blockSize number of input samples to process per call. + * @return The function returns ARM_MATH_SUCCESS if initialization was successful or ARM_MATH_LENGTH_ERROR if + * blockSize is not a multiple of M. + * + * Description: + * \par + * pCoeffs points to the array of filter coefficients stored in time reversed order: + *
+ *    {b[numTaps-1], b[numTaps-2], b[N-2], ..., b[1], b[0]}
+ * 
+ * \par + * pState points to the array of state variables. + * pState is of length numTaps+blockSize-1 words where blockSize is the number of input samples passed to arm_fir_decimate_f32(). + * M is the decimation factor. + */ + +arm_status arm_fir_decimate_init_f32( + arm_fir_decimate_instance_f32 * S, + uint16_t numTaps, + uint8_t M, + float32_t * pCoeffs, + float32_t * pState, + uint32_t blockSize) +{ + arm_status status; + + /* The size of the input block must be a multiple of the decimation factor */ + if ((blockSize % M) != 0U) + { + /* Set status as ARM_MATH_LENGTH_ERROR */ + status = ARM_MATH_LENGTH_ERROR; + } + else + { + /* Assign filter taps */ + S->numTaps = numTaps; + + /* Assign coefficient pointer */ + S->pCoeffs = pCoeffs; + + /* Clear state buffer and size is always (blockSize + numTaps - 1) */ + memset(pState, 0, (numTaps + (blockSize - 1U)) * sizeof(float32_t)); + + /* Assign state pointer */ + S->pState = pState; + + /* Assign Decimation Factor */ + S->M = M; + + status = ARM_MATH_SUCCESS; + } + + return (status); + +} + +/** + * @} end of FIR_decimate group + */ diff --git a/fw/hid-dials/Drivers/CMSIS/DSP/Source/FilteringFunctions/arm_fir_decimate_init_q15.c b/fw/hid-dials/Drivers/CMSIS/DSP/Source/FilteringFunctions/arm_fir_decimate_init_q15.c new file mode 100644 index 0000000..7314711 --- /dev/null +++ b/fw/hid-dials/Drivers/CMSIS/DSP/Source/FilteringFunctions/arm_fir_decimate_init_q15.c @@ -0,0 +1,107 @@ +/* ---------------------------------------------------------------------- + * Project: CMSIS DSP Library + * Title: arm_fir_decimate_init_q15.c + * Description: Initialization function for the Q15 FIR Decimator + * + * $Date: 27. January 2017 + * $Revision: V.1.5.1 + * + * Target Processor: Cortex-M cores + * -------------------------------------------------------------------- */ +/* + * Copyright (C) 2010-2017 ARM Limited or its affiliates. All rights reserved. + * + * SPDX-License-Identifier: Apache-2.0 + * + * Licensed under the Apache License, Version 2.0 (the License); you may + * not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an AS IS BASIS, WITHOUT + * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ + +#include "arm_math.h" + +/** + * @ingroup groupFilters + */ + +/** + * @addtogroup FIR_decimate + * @{ + */ + +/** + * @brief Initialization function for the Q15 FIR decimator. + * @param[in,out] *S points to an instance of the Q15 FIR decimator structure. + * @param[in] numTaps number of coefficients in the filter. + * @param[in] M decimation factor. + * @param[in] *pCoeffs points to the filter coefficients. + * @param[in] *pState points to the state buffer. + * @param[in] blockSize number of input samples to process per call. + * @return The function returns ARM_MATH_SUCCESS if initialization was successful or ARM_MATH_LENGTH_ERROR if + * blockSize is not a multiple of M. + * + * Description: + * \par + * pCoeffs points to the array of filter coefficients stored in time reversed order: + *
+ *    {b[numTaps-1], b[numTaps-2], b[N-2], ..., b[1], b[0]}
+ * 
+ * \par + * pState points to the array of state variables. + * pState is of length numTaps+blockSize-1 words where blockSize is the number of input samples + * to the call arm_fir_decimate_q15(). + * M is the decimation factor. + */ + +arm_status arm_fir_decimate_init_q15( + arm_fir_decimate_instance_q15 * S, + uint16_t numTaps, + uint8_t M, + q15_t * pCoeffs, + q15_t * pState, + uint32_t blockSize) +{ + + arm_status status; + + /* The size of the input block must be a multiple of the decimation factor */ + if ((blockSize % M) != 0U) + { + /* Set status as ARM_MATH_LENGTH_ERROR */ + status = ARM_MATH_LENGTH_ERROR; + } + else + { + /* Assign filter taps */ + S->numTaps = numTaps; + + /* Assign coefficient pointer */ + S->pCoeffs = pCoeffs; + + /* Clear the state buffer. The size of buffer is always (blockSize + numTaps - 1) */ + memset(pState, 0, (numTaps + (blockSize - 1U)) * sizeof(q15_t)); + + /* Assign state pointer */ + S->pState = pState; + + /* Assign Decimation factor */ + S->M = M; + + status = ARM_MATH_SUCCESS; + } + + return (status); + +} + +/** + * @} end of FIR_decimate group + */ diff --git a/fw/hid-dials/Drivers/CMSIS/DSP/Source/FilteringFunctions/arm_fir_decimate_init_q31.c b/fw/hid-dials/Drivers/CMSIS/DSP/Source/FilteringFunctions/arm_fir_decimate_init_q31.c new file mode 100644 index 0000000..f6f3fb2 --- /dev/null +++ b/fw/hid-dials/Drivers/CMSIS/DSP/Source/FilteringFunctions/arm_fir_decimate_init_q31.c @@ -0,0 +1,105 @@ +/* ---------------------------------------------------------------------- + * Project: CMSIS DSP Library + * Title: arm_fir_decimate_init_q31.c + * Description: Initialization function for Q31 FIR Decimation filter + * + * $Date: 27. January 2017 + * $Revision: V.1.5.1 + * + * Target Processor: Cortex-M cores + * -------------------------------------------------------------------- */ +/* + * Copyright (C) 2010-2017 ARM Limited or its affiliates. All rights reserved. + * + * SPDX-License-Identifier: Apache-2.0 + * + * Licensed under the Apache License, Version 2.0 (the License); you may + * not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an AS IS BASIS, WITHOUT + * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ + +#include "arm_math.h" + +/** + * @ingroup groupFilters + */ + +/** + * @addtogroup FIR_decimate + * @{ + */ + +/** + * @brief Initialization function for the Q31 FIR decimator. + * @param[in,out] *S points to an instance of the Q31 FIR decimator structure. + * @param[in] numTaps number of coefficients in the filter. + * @param[in] M decimation factor. + * @param[in] *pCoeffs points to the filter coefficients. + * @param[in] *pState points to the state buffer. + * @param[in] blockSize number of input samples to process per call. + * @return The function returns ARM_MATH_SUCCESS if initialization was successful or ARM_MATH_LENGTH_ERROR if + * blockSize is not a multiple of M. + * + * Description: + * \par + * pCoeffs points to the array of filter coefficients stored in time reversed order: + *
+ *    {b[numTaps-1], b[numTaps-2], b[N-2], ..., b[1], b[0]}
+ * 
+ * \par + * pState points to the array of state variables. + * pState is of length numTaps+blockSize-1 words where blockSize is the number of input samples passed to arm_fir_decimate_q31(). + * M is the decimation factor. + */ + +arm_status arm_fir_decimate_init_q31( + arm_fir_decimate_instance_q31 * S, + uint16_t numTaps, + uint8_t M, + q31_t * pCoeffs, + q31_t * pState, + uint32_t blockSize) +{ + arm_status status; + + /* The size of the input block must be a multiple of the decimation factor */ + if ((blockSize % M) != 0U) + { + /* Set status as ARM_MATH_LENGTH_ERROR */ + status = ARM_MATH_LENGTH_ERROR; + } + else + { + /* Assign filter taps */ + S->numTaps = numTaps; + + /* Assign coefficient pointer */ + S->pCoeffs = pCoeffs; + + /* Clear the state buffer. The size is always (blockSize + numTaps - 1) */ + memset(pState, 0, (numTaps + (blockSize - 1)) * sizeof(q31_t)); + + /* Assign state pointer */ + S->pState = pState; + + /* Assign Decimation factor */ + S->M = M; + + status = ARM_MATH_SUCCESS; + } + + return (status); + +} + +/** + * @} end of FIR_decimate group + */ diff --git a/fw/hid-dials/Drivers/CMSIS/DSP/Source/FilteringFunctions/arm_fir_decimate_q15.c b/fw/hid-dials/Drivers/CMSIS/DSP/Source/FilteringFunctions/arm_fir_decimate_q15.c new file mode 100644 index 0000000..56f12fb --- /dev/null +++ b/fw/hid-dials/Drivers/CMSIS/DSP/Source/FilteringFunctions/arm_fir_decimate_q15.c @@ -0,0 +1,684 @@ +/* ---------------------------------------------------------------------- + * Project: CMSIS DSP Library + * Title: arm_fir_decimate_q15.c + * Description: Q15 FIR Decimator + * + * $Date: 27. January 2017 + * $Revision: V.1.5.1 + * + * Target Processor: Cortex-M cores + * -------------------------------------------------------------------- */ +/* + * Copyright (C) 2010-2017 ARM Limited or its affiliates. All rights reserved. + * + * SPDX-License-Identifier: Apache-2.0 + * + * Licensed under the Apache License, Version 2.0 (the License); you may + * not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an AS IS BASIS, WITHOUT + * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ + +#include "arm_math.h" + +/** + * @ingroup groupFilters + */ + +/** + * @addtogroup FIR_decimate + * @{ + */ + +/** + * @brief Processing function for the Q15 FIR decimator. + * @param[in] *S points to an instance of the Q15 FIR decimator structure. + * @param[in] *pSrc points to the block of input data. + * @param[out] *pDst points to the location where the output result is written. + * @param[in] blockSize number of input samples to process per call. + * @return none. + * + * Scaling and Overflow Behavior: + * \par + * The function is implemented using a 64-bit internal accumulator. + * Both coefficients and state variables are represented in 1.15 format and multiplications yield a 2.30 result. + * The 2.30 intermediate results are accumulated in a 64-bit accumulator in 34.30 format. + * There is no risk of internal overflow with this approach and the full precision of intermediate multiplications is preserved. + * After all additions have been performed, the accumulator is truncated to 34.15 format by discarding low 15 bits. + * Lastly, the accumulator is saturated to yield a result in 1.15 format. + * + * \par + * Refer to the function arm_fir_decimate_fast_q15() for a faster but less precise implementation of this function for Cortex-M3 and Cortex-M4. + */ + +#if defined (ARM_MATH_DSP) + +#ifndef UNALIGNED_SUPPORT_DISABLE + +void arm_fir_decimate_q15( + const arm_fir_decimate_instance_q15 * S, + q15_t * pSrc, + q15_t * pDst, + uint32_t blockSize) +{ + q15_t *pState = S->pState; /* State pointer */ + q15_t *pCoeffs = S->pCoeffs; /* Coefficient pointer */ + q15_t *pStateCurnt; /* Points to the current sample of the state */ + q15_t *px; /* Temporary pointer for state buffer */ + q15_t *pb; /* Temporary pointer coefficient buffer */ + q31_t x0, x1, c0, c1; /* Temporary variables to hold state and coefficient values */ + q63_t sum0; /* Accumulators */ + q63_t acc0, acc1; + q15_t *px0, *px1; + uint32_t blkCntN3; + uint32_t numTaps = S->numTaps; /* Number of taps */ + uint32_t i, blkCnt, tapCnt, outBlockSize = blockSize / S->M; /* Loop counters */ + + + /* S->pState buffer contains previous frame (numTaps - 1) samples */ + /* pStateCurnt points to the location where the new input data should be written */ + pStateCurnt = S->pState + (numTaps - 1U); + + + /* Total number of output samples to be computed */ + blkCnt = outBlockSize / 2; + blkCntN3 = outBlockSize - (2 * blkCnt); + + + while (blkCnt > 0U) + { + /* Copy decimation factor number of new input samples into the state buffer */ + i = 2 * S->M; + + do + { + *pStateCurnt++ = *pSrc++; + + } while (--i); + + /* Set accumulator to zero */ + acc0 = 0; + acc1 = 0; + + /* Initialize state pointer */ + px0 = pState; + + px1 = pState + S->M; + + + /* Initialize coeff pointer */ + pb = pCoeffs; + + /* Loop unrolling. Process 4 taps at a time. */ + tapCnt = numTaps >> 2; + + /* Loop over the number of taps. Unroll by a factor of 4. + ** Repeat until we've computed numTaps-4 coefficients. */ + while (tapCnt > 0U) + { + /* Read the Read b[numTaps-1] and b[numTaps-2] coefficients */ + c0 = *__SIMD32(pb)++; + + /* Read x[n-numTaps-1] and x[n-numTaps-2]sample */ + x0 = *__SIMD32(px0)++; + + x1 = *__SIMD32(px1)++; + + /* Perform the multiply-accumulate */ + acc0 = __SMLALD(x0, c0, acc0); + + acc1 = __SMLALD(x1, c0, acc1); + + /* Read the b[numTaps-3] and b[numTaps-4] coefficient */ + c0 = *__SIMD32(pb)++; + + /* Read x[n-numTaps-2] and x[n-numTaps-3] sample */ + x0 = *__SIMD32(px0)++; + + x1 = *__SIMD32(px1)++; + + /* Perform the multiply-accumulate */ + acc0 = __SMLALD(x0, c0, acc0); + + acc1 = __SMLALD(x1, c0, acc1); + + /* Decrement the loop counter */ + tapCnt--; + } + + /* If the filter length is not a multiple of 4, compute the remaining filter taps */ + tapCnt = numTaps % 0x4U; + + while (tapCnt > 0U) + { + /* Read coefficients */ + c0 = *pb++; + + /* Fetch 1 state variable */ + x0 = *px0++; + + x1 = *px1++; + + /* Perform the multiply-accumulate */ + acc0 = __SMLALD(x0, c0, acc0); + acc1 = __SMLALD(x1, c0, acc1); + + /* Decrement the loop counter */ + tapCnt--; + } + + /* Advance the state pointer by the decimation factor + * to process the next group of decimation factor number samples */ + pState = pState + S->M * 2; + + /* Store filter output, smlad returns the values in 2.14 format */ + /* so downsacle by 15 to get output in 1.15 */ + *pDst++ = (q15_t) (__SSAT((acc0 >> 15), 16)); + *pDst++ = (q15_t) (__SSAT((acc1 >> 15), 16)); + + /* Decrement the loop counter */ + blkCnt--; + } + + + + while (blkCntN3 > 0U) + { + /* Copy decimation factor number of new input samples into the state buffer */ + i = S->M; + + do + { + *pStateCurnt++ = *pSrc++; + + } while (--i); + + /*Set sum to zero */ + sum0 = 0; + + /* Initialize state pointer */ + px = pState; + + /* Initialize coeff pointer */ + pb = pCoeffs; + + /* Loop unrolling. Process 4 taps at a time. */ + tapCnt = numTaps >> 2; + + /* Loop over the number of taps. Unroll by a factor of 4. + ** Repeat until we've computed numTaps-4 coefficients. */ + while (tapCnt > 0U) + { + /* Read the Read b[numTaps-1] and b[numTaps-2] coefficients */ + c0 = *__SIMD32(pb)++; + + /* Read x[n-numTaps-1] and x[n-numTaps-2]sample */ + x0 = *__SIMD32(px)++; + + /* Read the b[numTaps-3] and b[numTaps-4] coefficient */ + c1 = *__SIMD32(pb)++; + + /* Perform the multiply-accumulate */ + sum0 = __SMLALD(x0, c0, sum0); + + /* Read x[n-numTaps-2] and x[n-numTaps-3] sample */ + x0 = *__SIMD32(px)++; + + /* Perform the multiply-accumulate */ + sum0 = __SMLALD(x0, c1, sum0); + + /* Decrement the loop counter */ + tapCnt--; + } + + /* If the filter length is not a multiple of 4, compute the remaining filter taps */ + tapCnt = numTaps % 0x4U; + + while (tapCnt > 0U) + { + /* Read coefficients */ + c0 = *pb++; + + /* Fetch 1 state variable */ + x0 = *px++; + + /* Perform the multiply-accumulate */ + sum0 = __SMLALD(x0, c0, sum0); + + /* Decrement the loop counter */ + tapCnt--; + } + + /* Advance the state pointer by the decimation factor + * to process the next group of decimation factor number samples */ + pState = pState + S->M; + + /* Store filter output, smlad returns the values in 2.14 format */ + /* so downsacle by 15 to get output in 1.15 */ + *pDst++ = (q15_t) (__SSAT((sum0 >> 15), 16)); + + /* Decrement the loop counter */ + blkCntN3--; + } + + /* Processing is complete. + ** Now copy the last numTaps - 1 samples to the satrt of the state buffer. + ** This prepares the state buffer for the next function call. */ + + /* Points to the start of the state buffer */ + pStateCurnt = S->pState; + + i = (numTaps - 1U) >> 2U; + + /* copy data */ + while (i > 0U) + { + *__SIMD32(pStateCurnt)++ = *__SIMD32(pState)++; + *__SIMD32(pStateCurnt)++ = *__SIMD32(pState)++; + + /* Decrement the loop counter */ + i--; + } + + i = (numTaps - 1U) % 0x04U; + + /* copy data */ + while (i > 0U) + { + *pStateCurnt++ = *pState++; + + /* Decrement the loop counter */ + i--; + } +} + +#else + + +void arm_fir_decimate_q15( + const arm_fir_decimate_instance_q15 * S, + q15_t * pSrc, + q15_t * pDst, + uint32_t blockSize) +{ + q15_t *pState = S->pState; /* State pointer */ + q15_t *pCoeffs = S->pCoeffs; /* Coefficient pointer */ + q15_t *pStateCurnt; /* Points to the current sample of the state */ + q15_t *px; /* Temporary pointer for state buffer */ + q15_t *pb; /* Temporary pointer coefficient buffer */ + q15_t x0, x1, c0; /* Temporary variables to hold state and coefficient values */ + q63_t sum0; /* Accumulators */ + q63_t acc0, acc1; + q15_t *px0, *px1; + uint32_t blkCntN3; + uint32_t numTaps = S->numTaps; /* Number of taps */ + uint32_t i, blkCnt, tapCnt, outBlockSize = blockSize / S->M; /* Loop counters */ + + + /* S->pState buffer contains previous frame (numTaps - 1) samples */ + /* pStateCurnt points to the location where the new input data should be written */ + pStateCurnt = S->pState + (numTaps - 1U); + + + /* Total number of output samples to be computed */ + blkCnt = outBlockSize / 2; + blkCntN3 = outBlockSize - (2 * blkCnt); + + while (blkCnt > 0U) + { + /* Copy decimation factor number of new input samples into the state buffer */ + i = 2 * S->M; + + do + { + *pStateCurnt++ = *pSrc++; + + } while (--i); + + /* Set accumulator to zero */ + acc0 = 0; + acc1 = 0; + + /* Initialize state pointer */ + px0 = pState; + + px1 = pState + S->M; + + + /* Initialize coeff pointer */ + pb = pCoeffs; + + /* Loop unrolling. Process 4 taps at a time. */ + tapCnt = numTaps >> 2; + + /* Loop over the number of taps. Unroll by a factor of 4. + ** Repeat until we've computed numTaps-4 coefficients. */ + while (tapCnt > 0U) + { + /* Read the Read b[numTaps-1] coefficients */ + c0 = *pb++; + + /* Read x[n-numTaps-1] for sample 0 and for sample 1 */ + x0 = *px0++; + x1 = *px1++; + + /* Perform the multiply-accumulate */ + acc0 += x0 * c0; + acc1 += x1 * c0; + + /* Read the b[numTaps-2] coefficient */ + c0 = *pb++; + + /* Read x[n-numTaps-2] for sample 0 and sample 1 */ + x0 = *px0++; + x1 = *px1++; + + /* Perform the multiply-accumulate */ + acc0 += x0 * c0; + acc1 += x1 * c0; + + /* Read the b[numTaps-3] coefficients */ + c0 = *pb++; + + /* Read x[n-numTaps-3] for sample 0 and sample 1 */ + x0 = *px0++; + x1 = *px1++; + + /* Perform the multiply-accumulate */ + acc0 += x0 * c0; + acc1 += x1 * c0; + + /* Read the b[numTaps-4] coefficient */ + c0 = *pb++; + + /* Read x[n-numTaps-4] for sample 0 and sample 1 */ + x0 = *px0++; + x1 = *px1++; + + /* Perform the multiply-accumulate */ + acc0 += x0 * c0; + acc1 += x1 * c0; + + /* Decrement the loop counter */ + tapCnt--; + } + + /* If the filter length is not a multiple of 4, compute the remaining filter taps */ + tapCnt = numTaps % 0x4U; + + while (tapCnt > 0U) + { + /* Read coefficients */ + c0 = *pb++; + + /* Fetch 1 state variable */ + x0 = *px0++; + x1 = *px1++; + + /* Perform the multiply-accumulate */ + acc0 += x0 * c0; + acc1 += x1 * c0; + + /* Decrement the loop counter */ + tapCnt--; + } + + /* Advance the state pointer by the decimation factor + * to process the next group of decimation factor number samples */ + pState = pState + S->M * 2; + + /* Store filter output, smlad returns the values in 2.14 format */ + /* so downsacle by 15 to get output in 1.15 */ + + *pDst++ = (q15_t) (__SSAT((acc0 >> 15), 16)); + *pDst++ = (q15_t) (__SSAT((acc1 >> 15), 16)); + + /* Decrement the loop counter */ + blkCnt--; + } + + while (blkCntN3 > 0U) + { + /* Copy decimation factor number of new input samples into the state buffer */ + i = S->M; + + do + { + *pStateCurnt++ = *pSrc++; + + } while (--i); + + /*Set sum to zero */ + sum0 = 0; + + /* Initialize state pointer */ + px = pState; + + /* Initialize coeff pointer */ + pb = pCoeffs; + + /* Loop unrolling. Process 4 taps at a time. */ + tapCnt = numTaps >> 2; + + /* Loop over the number of taps. Unroll by a factor of 4. + ** Repeat until we've computed numTaps-4 coefficients. */ + while (tapCnt > 0U) + { + /* Read the Read b[numTaps-1] coefficients */ + c0 = *pb++; + + /* Read x[n-numTaps-1] and sample */ + x0 = *px++; + + /* Perform the multiply-accumulate */ + sum0 += x0 * c0; + + /* Read the b[numTaps-2] coefficient */ + c0 = *pb++; + + /* Read x[n-numTaps-2] and sample */ + x0 = *px++; + + /* Perform the multiply-accumulate */ + sum0 += x0 * c0; + + /* Read the b[numTaps-3] coefficients */ + c0 = *pb++; + + /* Read x[n-numTaps-3] sample */ + x0 = *px++; + + /* Perform the multiply-accumulate */ + sum0 += x0 * c0; + + /* Read the b[numTaps-4] coefficient */ + c0 = *pb++; + + /* Read x[n-numTaps-4] sample */ + x0 = *px++; + + /* Perform the multiply-accumulate */ + sum0 += x0 * c0; + + /* Decrement the loop counter */ + tapCnt--; + } + + /* If the filter length is not a multiple of 4, compute the remaining filter taps */ + tapCnt = numTaps % 0x4U; + + while (tapCnt > 0U) + { + /* Read coefficients */ + c0 = *pb++; + + /* Fetch 1 state variable */ + x0 = *px++; + + /* Perform the multiply-accumulate */ + sum0 += x0 * c0; + + /* Decrement the loop counter */ + tapCnt--; + } + + /* Advance the state pointer by the decimation factor + * to process the next group of decimation factor number samples */ + pState = pState + S->M; + + /* Store filter output, smlad returns the values in 2.14 format */ + /* so downsacle by 15 to get output in 1.15 */ + *pDst++ = (q15_t) (__SSAT((sum0 >> 15), 16)); + + /* Decrement the loop counter */ + blkCntN3--; + } + + /* Processing is complete. + ** Now copy the last numTaps - 1 samples to the satrt of the state buffer. + ** This prepares the state buffer for the next function call. */ + + /* Points to the start of the state buffer */ + pStateCurnt = S->pState; + + i = (numTaps - 1U) >> 2U; + + /* copy data */ + while (i > 0U) + { + *pStateCurnt++ = *pState++; + *pStateCurnt++ = *pState++; + *pStateCurnt++ = *pState++; + *pStateCurnt++ = *pState++; + + /* Decrement the loop counter */ + i--; + } + + i = (numTaps - 1U) % 0x04U; + + /* copy data */ + while (i > 0U) + { + *pStateCurnt++ = *pState++; + + /* Decrement the loop counter */ + i--; + } +} + + +#endif /* #ifndef UNALIGNED_SUPPORT_DISABLE */ + +#else + + +void arm_fir_decimate_q15( + const arm_fir_decimate_instance_q15 * S, + q15_t * pSrc, + q15_t * pDst, + uint32_t blockSize) +{ + q15_t *pState = S->pState; /* State pointer */ + q15_t *pCoeffs = S->pCoeffs; /* Coefficient pointer */ + q15_t *pStateCurnt; /* Points to the current sample of the state */ + q15_t *px; /* Temporary pointer for state buffer */ + q15_t *pb; /* Temporary pointer coefficient buffer */ + q31_t x0, c0; /* Temporary variables to hold state and coefficient values */ + q63_t sum0; /* Accumulators */ + uint32_t numTaps = S->numTaps; /* Number of taps */ + uint32_t i, blkCnt, tapCnt, outBlockSize = blockSize / S->M; /* Loop counters */ + + + +/* Run the below code for Cortex-M0 */ + + /* S->pState buffer contains previous frame (numTaps - 1) samples */ + /* pStateCurnt points to the location where the new input data should be written */ + pStateCurnt = S->pState + (numTaps - 1U); + + /* Total number of output samples to be computed */ + blkCnt = outBlockSize; + + while (blkCnt > 0U) + { + /* Copy decimation factor number of new input samples into the state buffer */ + i = S->M; + + do + { + *pStateCurnt++ = *pSrc++; + + } while (--i); + + /*Set sum to zero */ + sum0 = 0; + + /* Initialize state pointer */ + px = pState; + + /* Initialize coeff pointer */ + pb = pCoeffs; + + tapCnt = numTaps; + + while (tapCnt > 0U) + { + /* Read coefficients */ + c0 = *pb++; + + /* Fetch 1 state variable */ + x0 = *px++; + + /* Perform the multiply-accumulate */ + sum0 += (q31_t) x0 *c0; + + /* Decrement the loop counter */ + tapCnt--; + } + + /* Advance the state pointer by the decimation factor + * to process the next group of decimation factor number samples */ + pState = pState + S->M; + + /*Store filter output , smlad will return the values in 2.14 format */ + /* so downsacle by 15 to get output in 1.15 */ + *pDst++ = (q15_t) (__SSAT((sum0 >> 15), 16)); + + /* Decrement the loop counter */ + blkCnt--; + } + + /* Processing is complete. + ** Now copy the last numTaps - 1 samples to the start of the state buffer. + ** This prepares the state buffer for the next function call. */ + + /* Points to the start of the state buffer */ + pStateCurnt = S->pState; + + i = numTaps - 1U; + + /* copy data */ + while (i > 0U) + { + *pStateCurnt++ = *pState++; + + /* Decrement the loop counter */ + i--; + } + + +} +#endif /* #if defined (ARM_MATH_DSP) */ + + +/** + * @} end of FIR_decimate group + */ diff --git a/fw/hid-dials/Drivers/CMSIS/DSP/Source/FilteringFunctions/arm_fir_decimate_q31.c b/fw/hid-dials/Drivers/CMSIS/DSP/Source/FilteringFunctions/arm_fir_decimate_q31.c new file mode 100644 index 0000000..6a13cb5 --- /dev/null +++ b/fw/hid-dials/Drivers/CMSIS/DSP/Source/FilteringFunctions/arm_fir_decimate_q31.c @@ -0,0 +1,299 @@ +/* ---------------------------------------------------------------------- + * Project: CMSIS DSP Library + * Title: arm_fir_decimate_q31.c + * Description: Q31 FIR Decimator + * + * $Date: 27. January 2017 + * $Revision: V.1.5.1 + * + * Target Processor: Cortex-M cores + * -------------------------------------------------------------------- */ +/* + * Copyright (C) 2010-2017 ARM Limited or its affiliates. All rights reserved. + * + * SPDX-License-Identifier: Apache-2.0 + * + * Licensed under the Apache License, Version 2.0 (the License); you may + * not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an AS IS BASIS, WITHOUT + * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ + +#include "arm_math.h" + +/** + * @ingroup groupFilters + */ + +/** + * @addtogroup FIR_decimate + * @{ + */ + +/** + * @brief Processing function for the Q31 FIR decimator. + * @param[in] *S points to an instance of the Q31 FIR decimator structure. + * @param[in] *pSrc points to the block of input data. + * @param[out] *pDst points to the block of output data + * @param[in] blockSize number of input samples to process per call. + * @return none + * + * Scaling and Overflow Behavior: + * \par + * The function is implemented using an internal 64-bit accumulator. + * The accumulator has a 2.62 format and maintains full precision of the intermediate multiplication results but provides only a single guard bit. + * Thus, if the accumulator result overflows it wraps around rather than clip. + * In order to avoid overflows completely the input signal must be scaled down by log2(numTaps) bits (where log2 is read as log to the base 2). + * After all multiply-accumulates are performed, the 2.62 accumulator is truncated to 1.32 format and then saturated to 1.31 format. + * + * \par + * Refer to the function arm_fir_decimate_fast_q31() for a faster but less precise implementation of this function for Cortex-M3 and Cortex-M4. + */ + +void arm_fir_decimate_q31( + const arm_fir_decimate_instance_q31 * S, + q31_t * pSrc, + q31_t * pDst, + uint32_t blockSize) +{ + q31_t *pState = S->pState; /* State pointer */ + q31_t *pCoeffs = S->pCoeffs; /* Coefficient pointer */ + q31_t *pStateCurnt; /* Points to the current sample of the state */ + q31_t x0, c0; /* Temporary variables to hold state and coefficient values */ + q31_t *px; /* Temporary pointers for state buffer */ + q31_t *pb; /* Temporary pointers for coefficient buffer */ + q63_t sum0; /* Accumulator */ + uint32_t numTaps = S->numTaps; /* Number of taps */ + uint32_t i, tapCnt, blkCnt, outBlockSize = blockSize / S->M; /* Loop counters */ + + +#if defined (ARM_MATH_DSP) + + /* Run the below code for Cortex-M4 and Cortex-M3 */ + + /* S->pState buffer contains previous frame (numTaps - 1) samples */ + /* pStateCurnt points to the location where the new input data should be written */ + pStateCurnt = S->pState + (numTaps - 1U); + + /* Total number of output samples to be computed */ + blkCnt = outBlockSize; + + while (blkCnt > 0U) + { + /* Copy decimation factor number of new input samples into the state buffer */ + i = S->M; + + do + { + *pStateCurnt++ = *pSrc++; + + } while (--i); + + /* Set accumulator to zero */ + sum0 = 0; + + /* Initialize state pointer */ + px = pState; + + /* Initialize coeff pointer */ + pb = pCoeffs; + + /* Loop unrolling. Process 4 taps at a time. */ + tapCnt = numTaps >> 2; + + /* Loop over the number of taps. Unroll by a factor of 4. + ** Repeat until we've computed numTaps-4 coefficients. */ + while (tapCnt > 0U) + { + /* Read the b[numTaps-1] coefficient */ + c0 = *(pb++); + + /* Read x[n-numTaps-1] sample */ + x0 = *(px++); + + /* Perform the multiply-accumulate */ + sum0 += (q63_t) x0 *c0; + + /* Read the b[numTaps-2] coefficient */ + c0 = *(pb++); + + /* Read x[n-numTaps-2] sample */ + x0 = *(px++); + + /* Perform the multiply-accumulate */ + sum0 += (q63_t) x0 *c0; + + /* Read the b[numTaps-3] coefficient */ + c0 = *(pb++); + + /* Read x[n-numTaps-3] sample */ + x0 = *(px++); + + /* Perform the multiply-accumulate */ + sum0 += (q63_t) x0 *c0; + + /* Read the b[numTaps-4] coefficient */ + c0 = *(pb++); + + /* Read x[n-numTaps-4] sample */ + x0 = *(px++); + + /* Perform the multiply-accumulate */ + sum0 += (q63_t) x0 *c0; + + /* Decrement the loop counter */ + tapCnt--; + } + + /* If the filter length is not a multiple of 4, compute the remaining filter taps */ + tapCnt = numTaps % 0x4U; + + while (tapCnt > 0U) + { + /* Read coefficients */ + c0 = *(pb++); + + /* Fetch 1 state variable */ + x0 = *(px++); + + /* Perform the multiply-accumulate */ + sum0 += (q63_t) x0 *c0; + + /* Decrement the loop counter */ + tapCnt--; + } + + /* Advance the state pointer by the decimation factor + * to process the next group of decimation factor number samples */ + pState = pState + S->M; + + /* The result is in the accumulator, store in the destination buffer. */ + *pDst++ = (q31_t) (sum0 >> 31); + + /* Decrement the loop counter */ + blkCnt--; + } + + /* Processing is complete. + ** Now copy the last numTaps - 1 samples to the satrt of the state buffer. + ** This prepares the state buffer for the next function call. */ + + /* Points to the start of the state buffer */ + pStateCurnt = S->pState; + + i = (numTaps - 1U) >> 2U; + + /* copy data */ + while (i > 0U) + { + *pStateCurnt++ = *pState++; + *pStateCurnt++ = *pState++; + *pStateCurnt++ = *pState++; + *pStateCurnt++ = *pState++; + + /* Decrement the loop counter */ + i--; + } + + i = (numTaps - 1U) % 0x04U; + + /* copy data */ + while (i > 0U) + { + *pStateCurnt++ = *pState++; + + /* Decrement the loop counter */ + i--; + } + +#else + +/* Run the below code for Cortex-M0 */ + + /* S->pState buffer contains previous frame (numTaps - 1) samples */ + /* pStateCurnt points to the location where the new input data should be written */ + pStateCurnt = S->pState + (numTaps - 1U); + + /* Total number of output samples to be computed */ + blkCnt = outBlockSize; + + while (blkCnt > 0U) + { + /* Copy decimation factor number of new input samples into the state buffer */ + i = S->M; + + do + { + *pStateCurnt++ = *pSrc++; + + } while (--i); + + /* Set accumulator to zero */ + sum0 = 0; + + /* Initialize state pointer */ + px = pState; + + /* Initialize coeff pointer */ + pb = pCoeffs; + + tapCnt = numTaps; + + while (tapCnt > 0U) + { + /* Read coefficients */ + c0 = *pb++; + + /* Fetch 1 state variable */ + x0 = *px++; + + /* Perform the multiply-accumulate */ + sum0 += (q63_t) x0 *c0; + + /* Decrement the loop counter */ + tapCnt--; + } + + /* Advance the state pointer by the decimation factor + * to process the next group of decimation factor number samples */ + pState = pState + S->M; + + /* The result is in the accumulator, store in the destination buffer. */ + *pDst++ = (q31_t) (sum0 >> 31); + + /* Decrement the loop counter */ + blkCnt--; + } + + /* Processing is complete. + ** Now copy the last numTaps - 1 samples to the start of the state buffer. + ** This prepares the state buffer for the next function call. */ + + /* Points to the start of the state buffer */ + pStateCurnt = S->pState; + + i = numTaps - 1U; + + /* copy data */ + while (i > 0U) + { + *pStateCurnt++ = *pState++; + + /* Decrement the loop counter */ + i--; + } + +#endif /* #if defined (ARM_MATH_DSP) */ + +} + +/** + * @} end of FIR_decimate group + */ diff --git a/fw/hid-dials/Drivers/CMSIS/DSP/Source/FilteringFunctions/arm_fir_f32.c b/fw/hid-dials/Drivers/CMSIS/DSP/Source/FilteringFunctions/arm_fir_f32.c new file mode 100644 index 0000000..812f9df --- /dev/null +++ b/fw/hid-dials/Drivers/CMSIS/DSP/Source/FilteringFunctions/arm_fir_f32.c @@ -0,0 +1,985 @@ +/* ---------------------------------------------------------------------- + * Project: CMSIS DSP Library + * Title: arm_fir_f32.c + * Description: Floating-point FIR filter processing function + * + * $Date: 27. January 2017 + * $Revision: V.1.5.1 + * + * Target Processor: Cortex-M cores + * -------------------------------------------------------------------- */ +/* + * Copyright (C) 2010-2017 ARM Limited or its affiliates. All rights reserved. + * + * SPDX-License-Identifier: Apache-2.0 + * + * Licensed under the Apache License, Version 2.0 (the License); you may + * not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an AS IS BASIS, WITHOUT + * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ + +#include "arm_math.h" + +/** +* @ingroup groupFilters +*/ + +/** +* @defgroup FIR Finite Impulse Response (FIR) Filters +* +* This set of functions implements Finite Impulse Response (FIR) filters +* for Q7, Q15, Q31, and floating-point data types. Fast versions of Q15 and Q31 are also provided. +* The functions operate on blocks of input and output data and each call to the function processes +* blockSize samples through the filter. pSrc and +* pDst points to input and output arrays containing blockSize values. +* +* \par Algorithm: +* The FIR filter algorithm is based upon a sequence of multiply-accumulate (MAC) operations. +* Each filter coefficient b[n] is multiplied by a state variable which equals a previous input sample x[n]. +*
+*    y[n] = b[0] * x[n] + b[1] * x[n-1] + b[2] * x[n-2] + ...+ b[numTaps-1] * x[n-numTaps+1]
+* 
+* \par +* \image html FIR.gif "Finite Impulse Response filter" +* \par +* pCoeffs points to a coefficient array of size numTaps. +* Coefficients are stored in time reversed order. +* \par +*
+*    {b[numTaps-1], b[numTaps-2], b[N-2], ..., b[1], b[0]}
+* 
+* \par +* pState points to a state array of size numTaps + blockSize - 1. +* Samples in the state buffer are stored in the following order. +* \par +*
+*    {x[n-numTaps+1], x[n-numTaps], x[n-numTaps-1], x[n-numTaps-2]....x[0], x[1], ..., x[blockSize-1]}
+* 
+* \par +* Note that the length of the state buffer exceeds the length of the coefficient array by blockSize-1. +* The increased state buffer length allows circular addressing, which is traditionally used in the FIR filters, +* to be avoided and yields a significant speed improvement. +* The state variables are updated after each block of data is processed; the coefficients are untouched. +* \par Instance Structure +* The coefficients and state variables for a filter are stored together in an instance data structure. +* A separate instance structure must be defined for each filter. +* Coefficient arrays may be shared among several instances while state variable arrays cannot be shared. +* There are separate instance structure declarations for each of the 4 supported data types. +* +* \par Initialization Functions +* There is also an associated initialization function for each data type. +* The initialization function performs the following operations: +* - Sets the values of the internal structure fields. +* - Zeros out the values in the state buffer. +* To do this manually without calling the init function, assign the follow subfields of the instance structure: +* numTaps, pCoeffs, pState. Also set all of the values in pState to zero. +* +* \par +* Use of the initialization function is optional. +* However, if the initialization function is used, then the instance structure cannot be placed into a const data section. +* To place an instance structure into a const data section, the instance structure must be manually initialized. +* Set the values in the state buffer to zeros before static initialization. +* The code below statically initializes each of the 4 different data type filter instance structures +*
+*arm_fir_instance_f32 S = {numTaps, pState, pCoeffs};
+*arm_fir_instance_q31 S = {numTaps, pState, pCoeffs};
+*arm_fir_instance_q15 S = {numTaps, pState, pCoeffs};
+*arm_fir_instance_q7 S =  {numTaps, pState, pCoeffs};
+* 
+* +* where numTaps is the number of filter coefficients in the filter; pState is the address of the state buffer; +* pCoeffs is the address of the coefficient buffer. +* +* \par Fixed-Point Behavior +* Care must be taken when using the fixed-point versions of the FIR filter functions. +* In particular, the overflow and saturation behavior of the accumulator used in each function must be considered. +* Refer to the function specific documentation below for usage guidelines. +*/ + +/** +* @addtogroup FIR +* @{ +*/ + +/** +* +* @param[in] *S points to an instance of the floating-point FIR filter structure. +* @param[in] *pSrc points to the block of input data. +* @param[out] *pDst points to the block of output data. +* @param[in] blockSize number of samples to process per call. +* @return none. +* +*/ + +#if defined(ARM_MATH_CM7) + +void arm_fir_f32( +const arm_fir_instance_f32 * S, +float32_t * pSrc, +float32_t * pDst, +uint32_t blockSize) +{ + float32_t *pState = S->pState; /* State pointer */ + float32_t *pCoeffs = S->pCoeffs; /* Coefficient pointer */ + float32_t *pStateCurnt; /* Points to the current sample of the state */ + float32_t *px, *pb; /* Temporary pointers for state and coefficient buffers */ + float32_t acc0, acc1, acc2, acc3, acc4, acc5, acc6, acc7; /* Accumulators */ + float32_t x0, x1, x2, x3, x4, x5, x6, x7, c0; /* Temporary variables to hold state and coefficient values */ + uint32_t numTaps = S->numTaps; /* Number of filter coefficients in the filter */ + uint32_t i, tapCnt, blkCnt; /* Loop counters */ + + /* S->pState points to state array which contains previous frame (numTaps - 1) samples */ + /* pStateCurnt points to the location where the new input data should be written */ + pStateCurnt = &(S->pState[(numTaps - 1U)]); + + /* Apply loop unrolling and compute 8 output values simultaneously. + * The variables acc0 ... acc7 hold output values that are being computed: + * + * acc0 = b[numTaps-1] * x[n-numTaps-1] + b[numTaps-2] * x[n-numTaps-2] + b[numTaps-3] * x[n-numTaps-3] +...+ b[0] * x[0] + * acc1 = b[numTaps-1] * x[n-numTaps] + b[numTaps-2] * x[n-numTaps-1] + b[numTaps-3] * x[n-numTaps-2] +...+ b[0] * x[1] + * acc2 = b[numTaps-1] * x[n-numTaps+1] + b[numTaps-2] * x[n-numTaps] + b[numTaps-3] * x[n-numTaps-1] +...+ b[0] * x[2] + * acc3 = b[numTaps-1] * x[n-numTaps+2] + b[numTaps-2] * x[n-numTaps+1] + b[numTaps-3] * x[n-numTaps] +...+ b[0] * x[3] + */ + blkCnt = blockSize >> 3; + + /* First part of the processing with loop unrolling. Compute 8 outputs at a time. + ** a second loop below computes the remaining 1 to 7 samples. */ + while (blkCnt > 0U) + { + /* Copy four new input samples into the state buffer */ + *pStateCurnt++ = *pSrc++; + *pStateCurnt++ = *pSrc++; + *pStateCurnt++ = *pSrc++; + *pStateCurnt++ = *pSrc++; + + /* Set all accumulators to zero */ + acc0 = 0.0f; + acc1 = 0.0f; + acc2 = 0.0f; + acc3 = 0.0f; + acc4 = 0.0f; + acc5 = 0.0f; + acc6 = 0.0f; + acc7 = 0.0f; + + /* Initialize state pointer */ + px = pState; + + /* Initialize coeff pointer */ + pb = (pCoeffs); + + /* This is separated from the others to avoid + * a call to __aeabi_memmove which would be slower + */ + *pStateCurnt++ = *pSrc++; + *pStateCurnt++ = *pSrc++; + *pStateCurnt++ = *pSrc++; + *pStateCurnt++ = *pSrc++; + + /* Read the first seven samples from the state buffer: x[n-numTaps], x[n-numTaps-1], x[n-numTaps-2] */ + x0 = *px++; + x1 = *px++; + x2 = *px++; + x3 = *px++; + x4 = *px++; + x5 = *px++; + x6 = *px++; + + /* Loop unrolling. Process 8 taps at a time. */ + tapCnt = numTaps >> 3U; + + /* Loop over the number of taps. Unroll by a factor of 8. + ** Repeat until we've computed numTaps-8 coefficients. */ + while (tapCnt > 0U) + { + /* Read the b[numTaps-1] coefficient */ + c0 = *(pb++); + + /* Read x[n-numTaps-3] sample */ + x7 = *(px++); + + /* acc0 += b[numTaps-1] * x[n-numTaps] */ + acc0 += x0 * c0; + + /* acc1 += b[numTaps-1] * x[n-numTaps-1] */ + acc1 += x1 * c0; + + /* acc2 += b[numTaps-1] * x[n-numTaps-2] */ + acc2 += x2 * c0; + + /* acc3 += b[numTaps-1] * x[n-numTaps-3] */ + acc3 += x3 * c0; + + /* acc4 += b[numTaps-1] * x[n-numTaps-4] */ + acc4 += x4 * c0; + + /* acc1 += b[numTaps-1] * x[n-numTaps-5] */ + acc5 += x5 * c0; + + /* acc2 += b[numTaps-1] * x[n-numTaps-6] */ + acc6 += x6 * c0; + + /* acc3 += b[numTaps-1] * x[n-numTaps-7] */ + acc7 += x7 * c0; + + /* Read the b[numTaps-2] coefficient */ + c0 = *(pb++); + + /* Read x[n-numTaps-4] sample */ + x0 = *(px++); + + /* Perform the multiply-accumulate */ + acc0 += x1 * c0; + acc1 += x2 * c0; + acc2 += x3 * c0; + acc3 += x4 * c0; + acc4 += x5 * c0; + acc5 += x6 * c0; + acc6 += x7 * c0; + acc7 += x0 * c0; + + /* Read the b[numTaps-3] coefficient */ + c0 = *(pb++); + + /* Read x[n-numTaps-5] sample */ + x1 = *(px++); + + /* Perform the multiply-accumulates */ + acc0 += x2 * c0; + acc1 += x3 * c0; + acc2 += x4 * c0; + acc3 += x5 * c0; + acc4 += x6 * c0; + acc5 += x7 * c0; + acc6 += x0 * c0; + acc7 += x1 * c0; + + /* Read the b[numTaps-4] coefficient */ + c0 = *(pb++); + + /* Read x[n-numTaps-6] sample */ + x2 = *(px++); + + /* Perform the multiply-accumulates */ + acc0 += x3 * c0; + acc1 += x4 * c0; + acc2 += x5 * c0; + acc3 += x6 * c0; + acc4 += x7 * c0; + acc5 += x0 * c0; + acc6 += x1 * c0; + acc7 += x2 * c0; + + /* Read the b[numTaps-4] coefficient */ + c0 = *(pb++); + + /* Read x[n-numTaps-6] sample */ + x3 = *(px++); + /* Perform the multiply-accumulates */ + acc0 += x4 * c0; + acc1 += x5 * c0; + acc2 += x6 * c0; + acc3 += x7 * c0; + acc4 += x0 * c0; + acc5 += x1 * c0; + acc6 += x2 * c0; + acc7 += x3 * c0; + + /* Read the b[numTaps-4] coefficient */ + c0 = *(pb++); + + /* Read x[n-numTaps-6] sample */ + x4 = *(px++); + + /* Perform the multiply-accumulates */ + acc0 += x5 * c0; + acc1 += x6 * c0; + acc2 += x7 * c0; + acc3 += x0 * c0; + acc4 += x1 * c0; + acc5 += x2 * c0; + acc6 += x3 * c0; + acc7 += x4 * c0; + + /* Read the b[numTaps-4] coefficient */ + c0 = *(pb++); + + /* Read x[n-numTaps-6] sample */ + x5 = *(px++); + + /* Perform the multiply-accumulates */ + acc0 += x6 * c0; + acc1 += x7 * c0; + acc2 += x0 * c0; + acc3 += x1 * c0; + acc4 += x2 * c0; + acc5 += x3 * c0; + acc6 += x4 * c0; + acc7 += x5 * c0; + + /* Read the b[numTaps-4] coefficient */ + c0 = *(pb++); + + /* Read x[n-numTaps-6] sample */ + x6 = *(px++); + + /* Perform the multiply-accumulates */ + acc0 += x7 * c0; + acc1 += x0 * c0; + acc2 += x1 * c0; + acc3 += x2 * c0; + acc4 += x3 * c0; + acc5 += x4 * c0; + acc6 += x5 * c0; + acc7 += x6 * c0; + + tapCnt--; + } + + /* If the filter length is not a multiple of 8, compute the remaining filter taps */ + tapCnt = numTaps % 0x8U; + + while (tapCnt > 0U) + { + /* Read coefficients */ + c0 = *(pb++); + + /* Fetch 1 state variable */ + x7 = *(px++); + + /* Perform the multiply-accumulates */ + acc0 += x0 * c0; + acc1 += x1 * c0; + acc2 += x2 * c0; + acc3 += x3 * c0; + acc4 += x4 * c0; + acc5 += x5 * c0; + acc6 += x6 * c0; + acc7 += x7 * c0; + + /* Reuse the present sample states for next sample */ + x0 = x1; + x1 = x2; + x2 = x3; + x3 = x4; + x4 = x5; + x5 = x6; + x6 = x7; + + /* Decrement the loop counter */ + tapCnt--; + } + + /* Advance the state pointer by 8 to process the next group of 8 samples */ + pState = pState + 8; + + /* The results in the 8 accumulators, store in the destination buffer. */ + *pDst++ = acc0; + *pDst++ = acc1; + *pDst++ = acc2; + *pDst++ = acc3; + *pDst++ = acc4; + *pDst++ = acc5; + *pDst++ = acc6; + *pDst++ = acc7; + + blkCnt--; + } + + /* If the blockSize is not a multiple of 8, compute any remaining output samples here. + ** No loop unrolling is used. */ + blkCnt = blockSize % 0x8U; + + while (blkCnt > 0U) + { + /* Copy one sample at a time into state buffer */ + *pStateCurnt++ = *pSrc++; + + /* Set the accumulator to zero */ + acc0 = 0.0f; + + /* Initialize state pointer */ + px = pState; + + /* Initialize Coefficient pointer */ + pb = (pCoeffs); + + i = numTaps; + + /* Perform the multiply-accumulates */ + do + { + acc0 += *px++ * *pb++; + i--; + + } while (i > 0U); + + /* The result is store in the destination buffer. */ + *pDst++ = acc0; + + /* Advance state pointer by 1 for the next sample */ + pState = pState + 1; + + blkCnt--; + } + + /* Processing is complete. + ** Now copy the last numTaps - 1 samples to the start of the state buffer. + ** This prepares the state buffer for the next function call. */ + + /* Points to the start of the state buffer */ + pStateCurnt = S->pState; + + tapCnt = (numTaps - 1U) >> 2U; + + /* copy data */ + while (tapCnt > 0U) + { + *pStateCurnt++ = *pState++; + *pStateCurnt++ = *pState++; + *pStateCurnt++ = *pState++; + *pStateCurnt++ = *pState++; + + /* Decrement the loop counter */ + tapCnt--; + } + + /* Calculate remaining number of copies */ + tapCnt = (numTaps - 1U) % 0x4U; + + /* Copy the remaining q31_t data */ + while (tapCnt > 0U) + { + *pStateCurnt++ = *pState++; + + /* Decrement the loop counter */ + tapCnt--; + } +} + +#elif defined(ARM_MATH_CM0_FAMILY) + +void arm_fir_f32( +const arm_fir_instance_f32 * S, +float32_t * pSrc, +float32_t * pDst, +uint32_t blockSize) +{ + float32_t *pState = S->pState; /* State pointer */ + float32_t *pCoeffs = S->pCoeffs; /* Coefficient pointer */ + float32_t *pStateCurnt; /* Points to the current sample of the state */ + float32_t *px, *pb; /* Temporary pointers for state and coefficient buffers */ + uint32_t numTaps = S->numTaps; /* Number of filter coefficients in the filter */ + uint32_t i, tapCnt, blkCnt; /* Loop counters */ + + /* Run the below code for Cortex-M0 */ + + float32_t acc; + + /* S->pState points to state array which contains previous frame (numTaps - 1) samples */ + /* pStateCurnt points to the location where the new input data should be written */ + pStateCurnt = &(S->pState[(numTaps - 1U)]); + + /* Initialize blkCnt with blockSize */ + blkCnt = blockSize; + + while (blkCnt > 0U) + { + /* Copy one sample at a time into state buffer */ + *pStateCurnt++ = *pSrc++; + + /* Set the accumulator to zero */ + acc = 0.0f; + + /* Initialize state pointer */ + px = pState; + + /* Initialize Coefficient pointer */ + pb = pCoeffs; + + i = numTaps; + + /* Perform the multiply-accumulates */ + do + { + /* acc = b[numTaps-1] * x[n-numTaps-1] + b[numTaps-2] * x[n-numTaps-2] + b[numTaps-3] * x[n-numTaps-3] +...+ b[0] * x[0] */ + acc += *px++ * *pb++; + i--; + + } while (i > 0U); + + /* The result is store in the destination buffer. */ + *pDst++ = acc; + + /* Advance state pointer by 1 for the next sample */ + pState = pState + 1; + + blkCnt--; + } + + /* Processing is complete. + ** Now copy the last numTaps - 1 samples to the starting of the state buffer. + ** This prepares the state buffer for the next function call. */ + + /* Points to the start of the state buffer */ + pStateCurnt = S->pState; + + /* Copy numTaps number of values */ + tapCnt = numTaps - 1U; + + /* Copy data */ + while (tapCnt > 0U) + { + *pStateCurnt++ = *pState++; + + /* Decrement the loop counter */ + tapCnt--; + } + +} + +#else + +/* Run the below code for Cortex-M4 and Cortex-M3 */ + +void arm_fir_f32( +const arm_fir_instance_f32 * S, +float32_t * pSrc, +float32_t * pDst, +uint32_t blockSize) +{ + float32_t *pState = S->pState; /* State pointer */ + float32_t *pCoeffs = S->pCoeffs; /* Coefficient pointer */ + float32_t *pStateCurnt; /* Points to the current sample of the state */ + float32_t *px, *pb; /* Temporary pointers for state and coefficient buffers */ + float32_t acc0, acc1, acc2, acc3, acc4, acc5, acc6, acc7; /* Accumulators */ + float32_t x0, x1, x2, x3, x4, x5, x6, x7, c0; /* Temporary variables to hold state and coefficient values */ + uint32_t numTaps = S->numTaps; /* Number of filter coefficients in the filter */ + uint32_t i, tapCnt, blkCnt; /* Loop counters */ + float32_t p0,p1,p2,p3,p4,p5,p6,p7; /* Temporary product values */ + + /* S->pState points to state array which contains previous frame (numTaps - 1) samples */ + /* pStateCurnt points to the location where the new input data should be written */ + pStateCurnt = &(S->pState[(numTaps - 1U)]); + + /* Apply loop unrolling and compute 8 output values simultaneously. + * The variables acc0 ... acc7 hold output values that are being computed: + * + * acc0 = b[numTaps-1] * x[n-numTaps-1] + b[numTaps-2] * x[n-numTaps-2] + b[numTaps-3] * x[n-numTaps-3] +...+ b[0] * x[0] + * acc1 = b[numTaps-1] * x[n-numTaps] + b[numTaps-2] * x[n-numTaps-1] + b[numTaps-3] * x[n-numTaps-2] +...+ b[0] * x[1] + * acc2 = b[numTaps-1] * x[n-numTaps+1] + b[numTaps-2] * x[n-numTaps] + b[numTaps-3] * x[n-numTaps-1] +...+ b[0] * x[2] + * acc3 = b[numTaps-1] * x[n-numTaps+2] + b[numTaps-2] * x[n-numTaps+1] + b[numTaps-3] * x[n-numTaps] +...+ b[0] * x[3] + */ + blkCnt = blockSize >> 3; + + /* First part of the processing with loop unrolling. Compute 8 outputs at a time. + ** a second loop below computes the remaining 1 to 7 samples. */ + while (blkCnt > 0U) + { + /* Copy four new input samples into the state buffer */ + *pStateCurnt++ = *pSrc++; + *pStateCurnt++ = *pSrc++; + *pStateCurnt++ = *pSrc++; + *pStateCurnt++ = *pSrc++; + + /* Set all accumulators to zero */ + acc0 = 0.0f; + acc1 = 0.0f; + acc2 = 0.0f; + acc3 = 0.0f; + acc4 = 0.0f; + acc5 = 0.0f; + acc6 = 0.0f; + acc7 = 0.0f; + + /* Initialize state pointer */ + px = pState; + + /* Initialize coeff pointer */ + pb = (pCoeffs); + + /* This is separated from the others to avoid + * a call to __aeabi_memmove which would be slower + */ + *pStateCurnt++ = *pSrc++; + *pStateCurnt++ = *pSrc++; + *pStateCurnt++ = *pSrc++; + *pStateCurnt++ = *pSrc++; + + /* Read the first seven samples from the state buffer: x[n-numTaps], x[n-numTaps-1], x[n-numTaps-2] */ + x0 = *px++; + x1 = *px++; + x2 = *px++; + x3 = *px++; + x4 = *px++; + x5 = *px++; + x6 = *px++; + + /* Loop unrolling. Process 8 taps at a time. */ + tapCnt = numTaps >> 3U; + + /* Loop over the number of taps. Unroll by a factor of 8. + ** Repeat until we've computed numTaps-8 coefficients. */ + while (tapCnt > 0U) + { + /* Read the b[numTaps-1] coefficient */ + c0 = *(pb++); + + /* Read x[n-numTaps-3] sample */ + x7 = *(px++); + + /* acc0 += b[numTaps-1] * x[n-numTaps] */ + p0 = x0 * c0; + + /* acc1 += b[numTaps-1] * x[n-numTaps-1] */ + p1 = x1 * c0; + + /* acc2 += b[numTaps-1] * x[n-numTaps-2] */ + p2 = x2 * c0; + + /* acc3 += b[numTaps-1] * x[n-numTaps-3] */ + p3 = x3 * c0; + + /* acc4 += b[numTaps-1] * x[n-numTaps-4] */ + p4 = x4 * c0; + + /* acc1 += b[numTaps-1] * x[n-numTaps-5] */ + p5 = x5 * c0; + + /* acc2 += b[numTaps-1] * x[n-numTaps-6] */ + p6 = x6 * c0; + + /* acc3 += b[numTaps-1] * x[n-numTaps-7] */ + p7 = x7 * c0; + + /* Read the b[numTaps-2] coefficient */ + c0 = *(pb++); + + /* Read x[n-numTaps-4] sample */ + x0 = *(px++); + + acc0 += p0; + acc1 += p1; + acc2 += p2; + acc3 += p3; + acc4 += p4; + acc5 += p5; + acc6 += p6; + acc7 += p7; + + + /* Perform the multiply-accumulate */ + p0 = x1 * c0; + p1 = x2 * c0; + p2 = x3 * c0; + p3 = x4 * c0; + p4 = x5 * c0; + p5 = x6 * c0; + p6 = x7 * c0; + p7 = x0 * c0; + + /* Read the b[numTaps-3] coefficient */ + c0 = *(pb++); + + /* Read x[n-numTaps-5] sample */ + x1 = *(px++); + + acc0 += p0; + acc1 += p1; + acc2 += p2; + acc3 += p3; + acc4 += p4; + acc5 += p5; + acc6 += p6; + acc7 += p7; + + /* Perform the multiply-accumulates */ + p0 = x2 * c0; + p1 = x3 * c0; + p2 = x4 * c0; + p3 = x5 * c0; + p4 = x6 * c0; + p5 = x7 * c0; + p6 = x0 * c0; + p7 = x1 * c0; + + /* Read the b[numTaps-4] coefficient */ + c0 = *(pb++); + + /* Read x[n-numTaps-6] sample */ + x2 = *(px++); + + acc0 += p0; + acc1 += p1; + acc2 += p2; + acc3 += p3; + acc4 += p4; + acc5 += p5; + acc6 += p6; + acc7 += p7; + + /* Perform the multiply-accumulates */ + p0 = x3 * c0; + p1 = x4 * c0; + p2 = x5 * c0; + p3 = x6 * c0; + p4 = x7 * c0; + p5 = x0 * c0; + p6 = x1 * c0; + p7 = x2 * c0; + + /* Read the b[numTaps-4] coefficient */ + c0 = *(pb++); + + /* Read x[n-numTaps-6] sample */ + x3 = *(px++); + + acc0 += p0; + acc1 += p1; + acc2 += p2; + acc3 += p3; + acc4 += p4; + acc5 += p5; + acc6 += p6; + acc7 += p7; + + /* Perform the multiply-accumulates */ + p0 = x4 * c0; + p1 = x5 * c0; + p2 = x6 * c0; + p3 = x7 * c0; + p4 = x0 * c0; + p5 = x1 * c0; + p6 = x2 * c0; + p7 = x3 * c0; + + /* Read the b[numTaps-4] coefficient */ + c0 = *(pb++); + + /* Read x[n-numTaps-6] sample */ + x4 = *(px++); + + acc0 += p0; + acc1 += p1; + acc2 += p2; + acc3 += p3; + acc4 += p4; + acc5 += p5; + acc6 += p6; + acc7 += p7; + + /* Perform the multiply-accumulates */ + p0 = x5 * c0; + p1 = x6 * c0; + p2 = x7 * c0; + p3 = x0 * c0; + p4 = x1 * c0; + p5 = x2 * c0; + p6 = x3 * c0; + p7 = x4 * c0; + + /* Read the b[numTaps-4] coefficient */ + c0 = *(pb++); + + /* Read x[n-numTaps-6] sample */ + x5 = *(px++); + + acc0 += p0; + acc1 += p1; + acc2 += p2; + acc3 += p3; + acc4 += p4; + acc5 += p5; + acc6 += p6; + acc7 += p7; + + /* Perform the multiply-accumulates */ + p0 = x6 * c0; + p1 = x7 * c0; + p2 = x0 * c0; + p3 = x1 * c0; + p4 = x2 * c0; + p5 = x3 * c0; + p6 = x4 * c0; + p7 = x5 * c0; + + /* Read the b[numTaps-4] coefficient */ + c0 = *(pb++); + + /* Read x[n-numTaps-6] sample */ + x6 = *(px++); + + acc0 += p0; + acc1 += p1; + acc2 += p2; + acc3 += p3; + acc4 += p4; + acc5 += p5; + acc6 += p6; + acc7 += p7; + + /* Perform the multiply-accumulates */ + p0 = x7 * c0; + p1 = x0 * c0; + p2 = x1 * c0; + p3 = x2 * c0; + p4 = x3 * c0; + p5 = x4 * c0; + p6 = x5 * c0; + p7 = x6 * c0; + + tapCnt--; + + acc0 += p0; + acc1 += p1; + acc2 += p2; + acc3 += p3; + acc4 += p4; + acc5 += p5; + acc6 += p6; + acc7 += p7; + } + + /* If the filter length is not a multiple of 8, compute the remaining filter taps */ + tapCnt = numTaps % 0x8U; + + while (tapCnt > 0U) + { + /* Read coefficients */ + c0 = *(pb++); + + /* Fetch 1 state variable */ + x7 = *(px++); + + /* Perform the multiply-accumulates */ + p0 = x0 * c0; + p1 = x1 * c0; + p2 = x2 * c0; + p3 = x3 * c0; + p4 = x4 * c0; + p5 = x5 * c0; + p6 = x6 * c0; + p7 = x7 * c0; + + /* Reuse the present sample states for next sample */ + x0 = x1; + x1 = x2; + x2 = x3; + x3 = x4; + x4 = x5; + x5 = x6; + x6 = x7; + + acc0 += p0; + acc1 += p1; + acc2 += p2; + acc3 += p3; + acc4 += p4; + acc5 += p5; + acc6 += p6; + acc7 += p7; + + /* Decrement the loop counter */ + tapCnt--; + } + + /* Advance the state pointer by 8 to process the next group of 8 samples */ + pState = pState + 8; + + /* The results in the 8 accumulators, store in the destination buffer. */ + *pDst++ = acc0; + *pDst++ = acc1; + *pDst++ = acc2; + *pDst++ = acc3; + *pDst++ = acc4; + *pDst++ = acc5; + *pDst++ = acc6; + *pDst++ = acc7; + + blkCnt--; + } + + /* If the blockSize is not a multiple of 8, compute any remaining output samples here. + ** No loop unrolling is used. */ + blkCnt = blockSize % 0x8U; + + while (blkCnt > 0U) + { + /* Copy one sample at a time into state buffer */ + *pStateCurnt++ = *pSrc++; + + /* Set the accumulator to zero */ + acc0 = 0.0f; + + /* Initialize state pointer */ + px = pState; + + /* Initialize Coefficient pointer */ + pb = (pCoeffs); + + i = numTaps; + + /* Perform the multiply-accumulates */ + do + { + acc0 += *px++ * *pb++; + i--; + + } while (i > 0U); + + /* The result is store in the destination buffer. */ + *pDst++ = acc0; + + /* Advance state pointer by 1 for the next sample */ + pState = pState + 1; + + blkCnt--; + } + + /* Processing is complete. + ** Now copy the last numTaps - 1 samples to the start of the state buffer. + ** This prepares the state buffer for the next function call. */ + + /* Points to the start of the state buffer */ + pStateCurnt = S->pState; + + tapCnt = (numTaps - 1U) >> 2U; + + /* copy data */ + while (tapCnt > 0U) + { + *pStateCurnt++ = *pState++; + *pStateCurnt++ = *pState++; + *pStateCurnt++ = *pState++; + *pStateCurnt++ = *pState++; + + /* Decrement the loop counter */ + tapCnt--; + } + + /* Calculate remaining number of copies */ + tapCnt = (numTaps - 1U) % 0x4U; + + /* Copy the remaining q31_t data */ + while (tapCnt > 0U) + { + *pStateCurnt++ = *pState++; + + /* Decrement the loop counter */ + tapCnt--; + } +} + +#endif + +/** +* @} end of FIR group +*/ diff --git a/fw/hid-dials/Drivers/CMSIS/DSP/Source/FilteringFunctions/arm_fir_fast_q15.c b/fw/hid-dials/Drivers/CMSIS/DSP/Source/FilteringFunctions/arm_fir_fast_q15.c new file mode 100644 index 0000000..35e431b --- /dev/null +++ b/fw/hid-dials/Drivers/CMSIS/DSP/Source/FilteringFunctions/arm_fir_fast_q15.c @@ -0,0 +1,333 @@ +/* ---------------------------------------------------------------------- + * Project: CMSIS DSP Library + * Title: arm_fir_fast_q15.c + * Description: Q15 Fast FIR filter processing function + * + * $Date: 27. January 2017 + * $Revision: V.1.5.1 + * + * Target Processor: Cortex-M cores + * -------------------------------------------------------------------- */ +/* + * Copyright (C) 2010-2017 ARM Limited or its affiliates. All rights reserved. + * + * SPDX-License-Identifier: Apache-2.0 + * + * Licensed under the Apache License, Version 2.0 (the License); you may + * not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an AS IS BASIS, WITHOUT + * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ + +#include "arm_math.h" + +/** + * @ingroup groupFilters + */ + +/** + * @addtogroup FIR + * @{ + */ + +/** + * @param[in] *S points to an instance of the Q15 FIR filter structure. + * @param[in] *pSrc points to the block of input data. + * @param[out] *pDst points to the block of output data. + * @param[in] blockSize number of samples to process per call. + * @return none. + * + * Scaling and Overflow Behavior: + * \par + * This fast version uses a 32-bit accumulator with 2.30 format. + * The accumulator maintains full precision of the intermediate multiplication results but provides only a single guard bit. + * Thus, if the accumulator result overflows it wraps around and distorts the result. + * In order to avoid overflows completely the input signal must be scaled down by log2(numTaps) bits. + * The 2.30 accumulator is then truncated to 2.15 format and saturated to yield the 1.15 result. + * + * \par + * Refer to the function arm_fir_q15() for a slower implementation of this function which uses 64-bit accumulation to avoid wrap around distortion. Both the slow and the fast versions use the same instance structure. + * Use the function arm_fir_init_q15() to initialize the filter structure. + */ + +void arm_fir_fast_q15( + const arm_fir_instance_q15 * S, + q15_t * pSrc, + q15_t * pDst, + uint32_t blockSize) +{ + q15_t *pState = S->pState; /* State pointer */ + q15_t *pCoeffs = S->pCoeffs; /* Coefficient pointer */ + q15_t *pStateCurnt; /* Points to the current sample of the state */ + q31_t acc0, acc1, acc2, acc3; /* Accumulators */ + q15_t *pb; /* Temporary pointer for coefficient buffer */ + q15_t *px; /* Temporary q31 pointer for SIMD state buffer accesses */ + q31_t x0, x1, x2, c0; /* Temporary variables to hold SIMD state and coefficient values */ + uint32_t numTaps = S->numTaps; /* Number of taps in the filter */ + uint32_t tapCnt, blkCnt; /* Loop counters */ + + + /* S->pState points to state array which contains previous frame (numTaps - 1) samples */ + /* pStateCurnt points to the location where the new input data should be written */ + pStateCurnt = &(S->pState[(numTaps - 1U)]); + + /* Apply loop unrolling and compute 4 output values simultaneously. + * The variables acc0 ... acc3 hold output values that are being computed: + * + * acc0 = b[numTaps-1] * x[n-numTaps-1] + b[numTaps-2] * x[n-numTaps-2] + b[numTaps-3] * x[n-numTaps-3] +...+ b[0] * x[0] + * acc1 = b[numTaps-1] * x[n-numTaps] + b[numTaps-2] * x[n-numTaps-1] + b[numTaps-3] * x[n-numTaps-2] +...+ b[0] * x[1] + * acc2 = b[numTaps-1] * x[n-numTaps+1] + b[numTaps-2] * x[n-numTaps] + b[numTaps-3] * x[n-numTaps-1] +...+ b[0] * x[2] + * acc3 = b[numTaps-1] * x[n-numTaps+2] + b[numTaps-2] * x[n-numTaps+1] + b[numTaps-3] * x[n-numTaps] +...+ b[0] * x[3] + */ + + blkCnt = blockSize >> 2; + + /* First part of the processing with loop unrolling. Compute 4 outputs at a time. + ** a second loop below computes the remaining 1 to 3 samples. */ + while (blkCnt > 0U) + { + /* Copy four new input samples into the state buffer. + ** Use 32-bit SIMD to move the 16-bit data. Only requires two copies. */ + *pStateCurnt++ = *pSrc++; + *pStateCurnt++ = *pSrc++; + *pStateCurnt++ = *pSrc++; + *pStateCurnt++ = *pSrc++; + + + /* Set all accumulators to zero */ + acc0 = 0; + acc1 = 0; + acc2 = 0; + acc3 = 0; + + /* Typecast q15_t pointer to q31_t pointer for state reading in q31_t */ + px = pState; + + /* Typecast q15_t pointer to q31_t pointer for coefficient reading in q31_t */ + pb = pCoeffs; + + /* Read the first two samples from the state buffer: x[n-N], x[n-N-1] */ + x0 = *__SIMD32(px)++; + + /* Read the third and forth samples from the state buffer: x[n-N-2], x[n-N-3] */ + x2 = *__SIMD32(px)++; + + /* Loop over the number of taps. Unroll by a factor of 4. + ** Repeat until we've computed numTaps-(numTaps%4) coefficients. */ + tapCnt = numTaps >> 2; + + while (tapCnt > 0) + { + /* Read the first two coefficients using SIMD: b[N] and b[N-1] coefficients */ + c0 = *__SIMD32(pb)++; + + /* acc0 += b[N] * x[n-N] + b[N-1] * x[n-N-1] */ + acc0 = __SMLAD(x0, c0, acc0); + + /* acc2 += b[N] * x[n-N-2] + b[N-1] * x[n-N-3] */ + acc2 = __SMLAD(x2, c0, acc2); + + /* pack x[n-N-1] and x[n-N-2] */ +#ifndef ARM_MATH_BIG_ENDIAN + x1 = __PKHBT(x2, x0, 0); +#else + x1 = __PKHBT(x0, x2, 0); +#endif + + /* Read state x[n-N-4], x[n-N-5] */ + x0 = _SIMD32_OFFSET(px); + + /* acc1 += b[N] * x[n-N-1] + b[N-1] * x[n-N-2] */ + acc1 = __SMLADX(x1, c0, acc1); + + /* pack x[n-N-3] and x[n-N-4] */ +#ifndef ARM_MATH_BIG_ENDIAN + x1 = __PKHBT(x0, x2, 0); +#else + x1 = __PKHBT(x2, x0, 0); +#endif + + /* acc3 += b[N] * x[n-N-3] + b[N-1] * x[n-N-4] */ + acc3 = __SMLADX(x1, c0, acc3); + + /* Read coefficients b[N-2], b[N-3] */ + c0 = *__SIMD32(pb)++; + + /* acc0 += b[N-2] * x[n-N-2] + b[N-3] * x[n-N-3] */ + acc0 = __SMLAD(x2, c0, acc0); + + /* Read state x[n-N-6], x[n-N-7] with offset */ + x2 = _SIMD32_OFFSET(px + 2U); + + /* acc2 += b[N-2] * x[n-N-4] + b[N-3] * x[n-N-5] */ + acc2 = __SMLAD(x0, c0, acc2); + + /* acc1 += b[N-2] * x[n-N-3] + b[N-3] * x[n-N-4] */ + acc1 = __SMLADX(x1, c0, acc1); + + /* pack x[n-N-5] and x[n-N-6] */ +#ifndef ARM_MATH_BIG_ENDIAN + x1 = __PKHBT(x2, x0, 0); +#else + x1 = __PKHBT(x0, x2, 0); +#endif + + /* acc3 += b[N-2] * x[n-N-5] + b[N-3] * x[n-N-6] */ + acc3 = __SMLADX(x1, c0, acc3); + + /* Update state pointer for next state reading */ + px += 4U; + + /* Decrement tap count */ + tapCnt--; + + } + + /* If the filter length is not a multiple of 4, compute the remaining filter taps. + ** This is always be 2 taps since the filter length is even. */ + if ((numTaps & 0x3U) != 0U) + { + + /* Read last two coefficients */ + c0 = *__SIMD32(pb)++; + + /* Perform the multiply-accumulates */ + acc0 = __SMLAD(x0, c0, acc0); + acc2 = __SMLAD(x2, c0, acc2); + + /* pack state variables */ +#ifndef ARM_MATH_BIG_ENDIAN + x1 = __PKHBT(x2, x0, 0); +#else + x1 = __PKHBT(x0, x2, 0); +#endif + + /* Read last state variables */ + x0 = *__SIMD32(px); + + /* Perform the multiply-accumulates */ + acc1 = __SMLADX(x1, c0, acc1); + + /* pack state variables */ +#ifndef ARM_MATH_BIG_ENDIAN + x1 = __PKHBT(x0, x2, 0); +#else + x1 = __PKHBT(x2, x0, 0); +#endif + + /* Perform the multiply-accumulates */ + acc3 = __SMLADX(x1, c0, acc3); + } + + /* The results in the 4 accumulators are in 2.30 format. Convert to 1.15 with saturation. + ** Then store the 4 outputs in the destination buffer. */ + +#ifndef ARM_MATH_BIG_ENDIAN + + *__SIMD32(pDst)++ = + __PKHBT(__SSAT((acc0 >> 15), 16), __SSAT((acc1 >> 15), 16), 16); + + *__SIMD32(pDst)++ = + __PKHBT(__SSAT((acc2 >> 15), 16), __SSAT((acc3 >> 15), 16), 16); + +#else + + *__SIMD32(pDst)++ = + __PKHBT(__SSAT((acc1 >> 15), 16), __SSAT((acc0 >> 15), 16), 16); + + *__SIMD32(pDst)++ = + __PKHBT(__SSAT((acc3 >> 15), 16), __SSAT((acc2 >> 15), 16), 16); + + +#endif /* #ifndef ARM_MATH_BIG_ENDIAN */ + + /* Advance the state pointer by 4 to process the next group of 4 samples */ + pState = pState + 4U; + + /* Decrement the loop counter */ + blkCnt--; + } + + /* If the blockSize is not a multiple of 4, compute any remaining output samples here. + ** No loop unrolling is used. */ + blkCnt = blockSize % 0x4U; + while (blkCnt > 0U) + { + /* Copy two samples into state buffer */ + *pStateCurnt++ = *pSrc++; + + /* Set the accumulator to zero */ + acc0 = 0; + + /* Use SIMD to hold states and coefficients */ + px = pState; + pb = pCoeffs; + + tapCnt = numTaps >> 1U; + + do + { + + acc0 += (q31_t) * px++ * *pb++; + acc0 += (q31_t) * px++ * *pb++; + + tapCnt--; + } + while (tapCnt > 0U); + + /* The result is in 2.30 format. Convert to 1.15 with saturation. + ** Then store the output in the destination buffer. */ + *pDst++ = (q15_t) (__SSAT((acc0 >> 15), 16)); + + /* Advance state pointer by 1 for the next sample */ + pState = pState + 1U; + + /* Decrement the loop counter */ + blkCnt--; + } + + /* Processing is complete. + ** Now copy the last numTaps - 1 samples to the satrt of the state buffer. + ** This prepares the state buffer for the next function call. */ + + /* Points to the start of the state buffer */ + pStateCurnt = S->pState; + + /* Calculation of count for copying integer writes */ + tapCnt = (numTaps - 1U) >> 2; + + while (tapCnt > 0U) + { + *pStateCurnt++ = *pState++; + *pStateCurnt++ = *pState++; + *pStateCurnt++ = *pState++; + *pStateCurnt++ = *pState++; + + tapCnt--; + + } + + /* Calculation of count for remaining q15_t data */ + tapCnt = (numTaps - 1U) % 0x4U; + + /* copy remaining data */ + while (tapCnt > 0U) + { + *pStateCurnt++ = *pState++; + + /* Decrement the loop counter */ + tapCnt--; + } + +} + +/** + * @} end of FIR group + */ diff --git a/fw/hid-dials/Drivers/CMSIS/DSP/Source/FilteringFunctions/arm_fir_fast_q31.c b/fw/hid-dials/Drivers/CMSIS/DSP/Source/FilteringFunctions/arm_fir_fast_q31.c new file mode 100644 index 0000000..bd9c686 --- /dev/null +++ b/fw/hid-dials/Drivers/CMSIS/DSP/Source/FilteringFunctions/arm_fir_fast_q31.c @@ -0,0 +1,293 @@ +/* ---------------------------------------------------------------------- + * Project: CMSIS DSP Library + * Title: arm_fir_fast_q31.c + * Description: Processing function for the Q31 Fast FIR filter + * + * $Date: 27. January 2017 + * $Revision: V.1.5.1 + * + * Target Processor: Cortex-M cores + * -------------------------------------------------------------------- */ +/* + * Copyright (C) 2010-2017 ARM Limited or its affiliates. All rights reserved. + * + * SPDX-License-Identifier: Apache-2.0 + * + * Licensed under the Apache License, Version 2.0 (the License); you may + * not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an AS IS BASIS, WITHOUT + * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ + +#include "arm_math.h" + +/** + * @ingroup groupFilters + */ + +/** + * @addtogroup FIR + * @{ + */ + +/** + * @param[in] *S points to an instance of the Q31 structure. + * @param[in] *pSrc points to the block of input data. + * @param[out] *pDst points to the block output data. + * @param[in] blockSize number of samples to process per call. + * @return none. + * + * Scaling and Overflow Behavior: + * + * \par + * This function is optimized for speed at the expense of fixed-point precision and overflow protection. + * The result of each 1.31 x 1.31 multiplication is truncated to 2.30 format. + * These intermediate results are added to a 2.30 accumulator. + * Finally, the accumulator is saturated and converted to a 1.31 result. + * The fast version has the same overflow behavior as the standard version and provides less precision since it discards the low 32 bits of each multiplication result. + * In order to avoid overflows completely the input signal must be scaled down by log2(numTaps) bits. + * + * \par + * Refer to the function arm_fir_q31() for a slower implementation of this function which uses a 64-bit accumulator to provide higher precision. Both the slow and the fast versions use the same instance structure. + * Use the function arm_fir_init_q31() to initialize the filter structure. + */ + +IAR_ONLY_LOW_OPTIMIZATION_ENTER +void arm_fir_fast_q31( + const arm_fir_instance_q31 * S, + q31_t * pSrc, + q31_t * pDst, + uint32_t blockSize) +{ + q31_t *pState = S->pState; /* State pointer */ + q31_t *pCoeffs = S->pCoeffs; /* Coefficient pointer */ + q31_t *pStateCurnt; /* Points to the current sample of the state */ + q31_t x0, x1, x2, x3; /* Temporary variables to hold state */ + q31_t c0; /* Temporary variable to hold coefficient value */ + q31_t *px; /* Temporary pointer for state */ + q31_t *pb; /* Temporary pointer for coefficient buffer */ + q31_t acc0, acc1, acc2, acc3; /* Accumulators */ + uint32_t numTaps = S->numTaps; /* Number of filter coefficients in the filter */ + uint32_t i, tapCnt, blkCnt; /* Loop counters */ + + /* S->pState points to buffer which contains previous frame (numTaps - 1) samples */ + /* pStateCurnt points to the location where the new input data should be written */ + pStateCurnt = &(S->pState[(numTaps - 1U)]); + + /* Apply loop unrolling and compute 4 output values simultaneously. + * The variables acc0 ... acc3 hold output values that are being computed: + * + * acc0 = b[numTaps-1] * x[n-numTaps-1] + b[numTaps-2] * x[n-numTaps-2] + b[numTaps-3] * x[n-numTaps-3] +...+ b[0] * x[0] + * acc1 = b[numTaps-1] * x[n-numTaps] + b[numTaps-2] * x[n-numTaps-1] + b[numTaps-3] * x[n-numTaps-2] +...+ b[0] * x[1] + * acc2 = b[numTaps-1] * x[n-numTaps+1] + b[numTaps-2] * x[n-numTaps] + b[numTaps-3] * x[n-numTaps-1] +...+ b[0] * x[2] + * acc3 = b[numTaps-1] * x[n-numTaps+2] + b[numTaps-2] * x[n-numTaps+1] + b[numTaps-3] * x[n-numTaps] +...+ b[0] * x[3] + */ + blkCnt = blockSize >> 2; + + /* First part of the processing with loop unrolling. Compute 4 outputs at a time. + ** a second loop below computes the remaining 1 to 3 samples. */ + while (blkCnt > 0U) + { + /* Copy four new input samples into the state buffer */ + *pStateCurnt++ = *pSrc++; + *pStateCurnt++ = *pSrc++; + *pStateCurnt++ = *pSrc++; + *pStateCurnt++ = *pSrc++; + + /* Set all accumulators to zero */ + acc0 = 0; + acc1 = 0; + acc2 = 0; + acc3 = 0; + + /* Initialize state pointer */ + px = pState; + + /* Initialize coefficient pointer */ + pb = pCoeffs; + + /* Read the first three samples from the state buffer: + * x[n-numTaps], x[n-numTaps-1], x[n-numTaps-2] */ + x0 = *(px++); + x1 = *(px++); + x2 = *(px++); + + /* Loop unrolling. Process 4 taps at a time. */ + tapCnt = numTaps >> 2; + i = tapCnt; + + while (i > 0U) + { + /* Read the b[numTaps] coefficient */ + c0 = *pb; + + /* Read x[n-numTaps-3] sample */ + x3 = *px; + + /* acc0 += b[numTaps] * x[n-numTaps] */ + multAcc_32x32_keep32_R(acc0, x0, c0); + + /* acc1 += b[numTaps] * x[n-numTaps-1] */ + multAcc_32x32_keep32_R(acc1, x1, c0); + + /* acc2 += b[numTaps] * x[n-numTaps-2] */ + multAcc_32x32_keep32_R(acc2, x2, c0); + + /* acc3 += b[numTaps] * x[n-numTaps-3] */ + multAcc_32x32_keep32_R(acc3, x3, c0); + + /* Read the b[numTaps-1] coefficient */ + c0 = *(pb + 1U); + + /* Read x[n-numTaps-4] sample */ + x0 = *(px + 1U); + + /* Perform the multiply-accumulates */ + multAcc_32x32_keep32_R(acc0, x1, c0); + multAcc_32x32_keep32_R(acc1, x2, c0); + multAcc_32x32_keep32_R(acc2, x3, c0); + multAcc_32x32_keep32_R(acc3, x0, c0); + + /* Read the b[numTaps-2] coefficient */ + c0 = *(pb + 2U); + + /* Read x[n-numTaps-5] sample */ + x1 = *(px + 2U); + + /* Perform the multiply-accumulates */ + multAcc_32x32_keep32_R(acc0, x2, c0); + multAcc_32x32_keep32_R(acc1, x3, c0); + multAcc_32x32_keep32_R(acc2, x0, c0); + multAcc_32x32_keep32_R(acc3, x1, c0); + + /* Read the b[numTaps-3] coefficients */ + c0 = *(pb + 3U); + + /* Read x[n-numTaps-6] sample */ + x2 = *(px + 3U); + + /* Perform the multiply-accumulates */ + multAcc_32x32_keep32_R(acc0, x3, c0); + multAcc_32x32_keep32_R(acc1, x0, c0); + multAcc_32x32_keep32_R(acc2, x1, c0); + multAcc_32x32_keep32_R(acc3, x2, c0); + + /* update coefficient pointer */ + pb += 4U; + px += 4U; + + /* Decrement the loop counter */ + i--; + } + + /* If the filter length is not a multiple of 4, compute the remaining filter taps */ + + i = numTaps - (tapCnt * 4U); + while (i > 0U) + { + /* Read coefficients */ + c0 = *(pb++); + + /* Fetch 1 state variable */ + x3 = *(px++); + + /* Perform the multiply-accumulates */ + multAcc_32x32_keep32_R(acc0, x0, c0); + multAcc_32x32_keep32_R(acc1, x1, c0); + multAcc_32x32_keep32_R(acc2, x2, c0); + multAcc_32x32_keep32_R(acc3, x3, c0); + + /* Reuse the present sample states for next sample */ + x0 = x1; + x1 = x2; + x2 = x3; + + /* Decrement the loop counter */ + i--; + } + + /* Advance the state pointer by 4 to process the next group of 4 samples */ + pState = pState + 4; + + /* The results in the 4 accumulators are in 2.30 format. Convert to 1.31 + ** Then store the 4 outputs in the destination buffer. */ + *pDst++ = (q31_t) (acc0 << 1); + *pDst++ = (q31_t) (acc1 << 1); + *pDst++ = (q31_t) (acc2 << 1); + *pDst++ = (q31_t) (acc3 << 1); + + /* Decrement the samples loop counter */ + blkCnt--; + } + + + /* If the blockSize is not a multiple of 4, compute any remaining output samples here. + ** No loop unrolling is used. */ + blkCnt = blockSize % 4U; + + while (blkCnt > 0U) + { + /* Copy one sample at a time into state buffer */ + *pStateCurnt++ = *pSrc++; + + /* Set the accumulator to zero */ + acc0 = 0; + + /* Initialize state pointer */ + px = pState; + + /* Initialize Coefficient pointer */ + pb = (pCoeffs); + + i = numTaps; + + /* Perform the multiply-accumulates */ + do + { + multAcc_32x32_keep32_R(acc0, (*px++), (*(pb++))); + i--; + } while (i > 0U); + + /* The result is in 2.30 format. Convert to 1.31 + ** Then store the output in the destination buffer. */ + *pDst++ = (q31_t) (acc0 << 1); + + /* Advance state pointer by 1 for the next sample */ + pState = pState + 1; + + /* Decrement the samples loop counter */ + blkCnt--; + } + + /* Processing is complete. + ** Now copy the last numTaps - 1 samples to the start of the state buffer. + ** This prepares the state buffer for the next function call. */ + + /* Points to the start of the state buffer */ + pStateCurnt = S->pState; + + /* Calculate remaining number of copies */ + tapCnt = (numTaps - 1U); + + /* Copy the remaining q31_t data */ + while (tapCnt > 0U) + { + *pStateCurnt++ = *pState++; + + /* Decrement the loop counter */ + tapCnt--; + } + + +} +IAR_ONLY_LOW_OPTIMIZATION_EXIT +/** + * @} end of FIR group + */ diff --git a/fw/hid-dials/Drivers/CMSIS/DSP/Source/FilteringFunctions/arm_fir_init_f32.c b/fw/hid-dials/Drivers/CMSIS/DSP/Source/FilteringFunctions/arm_fir_init_f32.c new file mode 100644 index 0000000..25fcb01 --- /dev/null +++ b/fw/hid-dials/Drivers/CMSIS/DSP/Source/FilteringFunctions/arm_fir_init_f32.c @@ -0,0 +1,84 @@ +/* ---------------------------------------------------------------------- + * Project: CMSIS DSP Library + * Title: arm_fir_init_f32.c + * Description: Floating-point FIR filter initialization function + * + * $Date: 27. January 2017 + * $Revision: V.1.5.1 + * + * Target Processor: Cortex-M cores + * -------------------------------------------------------------------- */ +/* + * Copyright (C) 2010-2017 ARM Limited or its affiliates. All rights reserved. + * + * SPDX-License-Identifier: Apache-2.0 + * + * Licensed under the Apache License, Version 2.0 (the License); you may + * not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an AS IS BASIS, WITHOUT + * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ + +#include "arm_math.h" + +/** + * @ingroup groupFilters + */ + +/** + * @addtogroup FIR + * @{ + */ + +/** + * @details + * + * @param[in,out] *S points to an instance of the floating-point FIR filter structure. + * @param[in] numTaps Number of filter coefficients in the filter. + * @param[in] *pCoeffs points to the filter coefficients buffer. + * @param[in] *pState points to the state buffer. + * @param[in] blockSize number of samples that are processed per call. + * @return none. + * + * Description: + * \par + * pCoeffs points to the array of filter coefficients stored in time reversed order: + *
+ *    {b[numTaps-1], b[numTaps-2], b[N-2], ..., b[1], b[0]}
+ * 
+ * \par + * pState points to the array of state variables. + * pState is of length numTaps+blockSize-1 samples, where blockSize is the number of input samples processed by each call to arm_fir_f32(). + */ + +void arm_fir_init_f32( + arm_fir_instance_f32 * S, + uint16_t numTaps, + float32_t * pCoeffs, + float32_t * pState, + uint32_t blockSize) +{ + /* Assign filter taps */ + S->numTaps = numTaps; + + /* Assign coefficient pointer */ + S->pCoeffs = pCoeffs; + + /* Clear state buffer and the size of state buffer is (blockSize + numTaps - 1) */ + memset(pState, 0, (numTaps + (blockSize - 1U)) * sizeof(float32_t)); + + /* Assign state pointer */ + S->pState = pState; + +} + +/** + * @} end of FIR group + */ diff --git a/fw/hid-dials/Drivers/CMSIS/DSP/Source/FilteringFunctions/arm_fir_init_q15.c b/fw/hid-dials/Drivers/CMSIS/DSP/Source/FilteringFunctions/arm_fir_init_q15.c new file mode 100644 index 0000000..a5638d5 --- /dev/null +++ b/fw/hid-dials/Drivers/CMSIS/DSP/Source/FilteringFunctions/arm_fir_init_q15.c @@ -0,0 +1,142 @@ +/* ---------------------------------------------------------------------- + * Project: CMSIS DSP Library + * Title: arm_fir_init_q15.c + * Description: Q15 FIR filter initialization function + * + * $Date: 27. January 2017 + * $Revision: V.1.5.1 + * + * Target Processor: Cortex-M cores + * -------------------------------------------------------------------- */ +/* + * Copyright (C) 2010-2017 ARM Limited or its affiliates. All rights reserved. + * + * SPDX-License-Identifier: Apache-2.0 + * + * Licensed under the Apache License, Version 2.0 (the License); you may + * not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an AS IS BASIS, WITHOUT + * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ + +#include "arm_math.h" + +/** + * @ingroup groupFilters + */ + +/** + * @addtogroup FIR + * @{ + */ + +/** + * @param[in,out] *S points to an instance of the Q15 FIR filter structure. + * @param[in] numTaps Number of filter coefficients in the filter. Must be even and greater than or equal to 4. + * @param[in] *pCoeffs points to the filter coefficients buffer. + * @param[in] *pState points to the state buffer. + * @param[in] blockSize is number of samples processed per call. + * @return The function returns ARM_MATH_SUCCESS if initialization is successful or ARM_MATH_ARGUMENT_ERROR if + * numTaps is not greater than or equal to 4 and even. + * + * Description: + * \par + * pCoeffs points to the array of filter coefficients stored in time reversed order: + *
+ *    {b[numTaps-1], b[numTaps-2], b[N-2], ..., b[1], b[0]}
+ * 
+ * Note that numTaps must be even and greater than or equal to 4. + * To implement an odd length filter simply increase numTaps by 1 and set the last coefficient to zero. + * For example, to implement a filter with numTaps=3 and coefficients + *
+ *     {0.3, -0.8, 0.3}
+ * 
+ * set numTaps=4 and use the coefficients: + *
+ *     {0.3, -0.8, 0.3, 0}.
+ * 
+ * Similarly, to implement a two point filter + *
+ *     {0.3, -0.3}
+ * 
+ * set numTaps=4 and use the coefficients: + *
+ *     {0.3, -0.3, 0, 0}.
+ * 
+ * \par + * pState points to the array of state variables. + * pState is of length numTaps+blockSize, when running on Cortex-M4 and Cortex-M3 and is of length numTaps+blockSize-1, when running on Cortex-M0 where blockSize is the number of input samples processed by each call to arm_fir_q15(). + */ + +arm_status arm_fir_init_q15( + arm_fir_instance_q15 * S, + uint16_t numTaps, + q15_t * pCoeffs, + q15_t * pState, + uint32_t blockSize) +{ + arm_status status; + + +#if defined (ARM_MATH_DSP) + + /* Run the below code for Cortex-M4 and Cortex-M3 */ + + /* The Number of filter coefficients in the filter must be even and at least 4 */ + if (numTaps & 0x1U) + { + status = ARM_MATH_ARGUMENT_ERROR; + } + else + { + /* Assign filter taps */ + S->numTaps = numTaps; + + /* Assign coefficient pointer */ + S->pCoeffs = pCoeffs; + + /* Clear the state buffer. The size is always (blockSize + numTaps ) */ + memset(pState, 0, (numTaps + (blockSize)) * sizeof(q15_t)); + + /* Assign state pointer */ + S->pState = pState; + + status = ARM_MATH_SUCCESS; + } + + return (status); + +#else + + /* Run the below code for Cortex-M0 */ + + /* Assign filter taps */ + S->numTaps = numTaps; + + /* Assign coefficient pointer */ + S->pCoeffs = pCoeffs; + + /* Clear the state buffer. The size is always (blockSize + numTaps - 1) */ + memset(pState, 0, (numTaps + (blockSize - 1U)) * sizeof(q15_t)); + + /* Assign state pointer */ + S->pState = pState; + + status = ARM_MATH_SUCCESS; + + return (status); + +#endif /* #if defined (ARM_MATH_DSP) */ + +} + +/** + * @} end of FIR group + */ diff --git a/fw/hid-dials/Drivers/CMSIS/DSP/Source/FilteringFunctions/arm_fir_init_q31.c b/fw/hid-dials/Drivers/CMSIS/DSP/Source/FilteringFunctions/arm_fir_init_q31.c new file mode 100644 index 0000000..2367a65 --- /dev/null +++ b/fw/hid-dials/Drivers/CMSIS/DSP/Source/FilteringFunctions/arm_fir_init_q31.c @@ -0,0 +1,84 @@ +/* ---------------------------------------------------------------------- + * Project: CMSIS DSP Library + * Title: arm_fir_init_q31.c + * Description: Q31 FIR filter initialization function. + * + * $Date: 27. January 2017 + * $Revision: V.1.5.1 + * + * Target Processor: Cortex-M cores + * -------------------------------------------------------------------- */ +/* + * Copyright (C) 2010-2017 ARM Limited or its affiliates. All rights reserved. + * + * SPDX-License-Identifier: Apache-2.0 + * + * Licensed under the Apache License, Version 2.0 (the License); you may + * not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an AS IS BASIS, WITHOUT + * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ + +#include "arm_math.h" + +/** + * @ingroup groupFilters + */ + +/** + * @addtogroup FIR + * @{ + */ + +/** + * @details + * + * @param[in,out] *S points to an instance of the Q31 FIR filter structure. + * @param[in] numTaps Number of filter coefficients in the filter. + * @param[in] *pCoeffs points to the filter coefficients buffer. + * @param[in] *pState points to the state buffer. + * @param[in] blockSize number of samples that are processed per call. + * @return none. + * + * Description: + * \par + * pCoeffs points to the array of filter coefficients stored in time reversed order: + *
+ *    {b[numTaps-1], b[numTaps-2], b[N-2], ..., b[1], b[0]}
+ * 
+ * \par + * pState points to the array of state variables. + * pState is of length numTaps+blockSize-1 samples, where blockSize is the number of input samples processed by each call to arm_fir_q31(). + */ + +void arm_fir_init_q31( + arm_fir_instance_q31 * S, + uint16_t numTaps, + q31_t * pCoeffs, + q31_t * pState, + uint32_t blockSize) +{ + /* Assign filter taps */ + S->numTaps = numTaps; + + /* Assign coefficient pointer */ + S->pCoeffs = pCoeffs; + + /* Clear state buffer and state array size is (blockSize + numTaps - 1) */ + memset(pState, 0, (blockSize + ((uint32_t) numTaps - 1U)) * sizeof(q31_t)); + + /* Assign state pointer */ + S->pState = pState; + +} + +/** + * @} end of FIR group + */ diff --git a/fw/hid-dials/Drivers/CMSIS/DSP/Source/FilteringFunctions/arm_fir_init_q7.c b/fw/hid-dials/Drivers/CMSIS/DSP/Source/FilteringFunctions/arm_fir_init_q7.c new file mode 100644 index 0000000..5a91fb8 --- /dev/null +++ b/fw/hid-dials/Drivers/CMSIS/DSP/Source/FilteringFunctions/arm_fir_init_q7.c @@ -0,0 +1,82 @@ +/* ---------------------------------------------------------------------- + * Project: CMSIS DSP Library + * Title: arm_fir_init_q7.c + * Description: Q7 FIR filter initialization function + * + * $Date: 27. January 2017 + * $Revision: V.1.5.1 + * + * Target Processor: Cortex-M cores + * -------------------------------------------------------------------- */ +/* + * Copyright (C) 2010-2017 ARM Limited or its affiliates. All rights reserved. + * + * SPDX-License-Identifier: Apache-2.0 + * + * Licensed under the Apache License, Version 2.0 (the License); you may + * not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an AS IS BASIS, WITHOUT + * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ + +#include "arm_math.h" + +/** + * @ingroup groupFilters + */ + +/** + * @addtogroup FIR + * @{ + */ +/** + * @param[in,out] *S points to an instance of the Q7 FIR filter structure. + * @param[in] numTaps Number of filter coefficients in the filter. + * @param[in] *pCoeffs points to the filter coefficients buffer. + * @param[in] *pState points to the state buffer. + * @param[in] blockSize number of samples that are processed per call. + * @return none + * + * Description: + * \par + * pCoeffs points to the array of filter coefficients stored in time reversed order: + *
+ *    {b[numTaps-1], b[numTaps-2], b[N-2], ..., b[1], b[0]}
+ * 
+ * \par + * pState points to the array of state variables. + * pState is of length numTaps+blockSize-1 samples, where blockSize is the number of input samples processed by each call to arm_fir_q7(). + */ + +void arm_fir_init_q7( + arm_fir_instance_q7 * S, + uint16_t numTaps, + q7_t * pCoeffs, + q7_t * pState, + uint32_t blockSize) +{ + + /* Assign filter taps */ + S->numTaps = numTaps; + + /* Assign coefficient pointer */ + S->pCoeffs = pCoeffs; + + /* Clear the state buffer. The size is always (blockSize + numTaps - 1) */ + memset(pState, 0, (numTaps + (blockSize - 1U)) * sizeof(q7_t)); + + /* Assign state pointer */ + S->pState = pState; + +} + +/** + * @} end of FIR group + */ diff --git a/fw/hid-dials/Drivers/CMSIS/DSP/Source/FilteringFunctions/arm_fir_interpolate_f32.c b/fw/hid-dials/Drivers/CMSIS/DSP/Source/FilteringFunctions/arm_fir_interpolate_f32.c new file mode 100644 index 0000000..5f9d19c --- /dev/null +++ b/fw/hid-dials/Drivers/CMSIS/DSP/Source/FilteringFunctions/arm_fir_interpolate_f32.c @@ -0,0 +1,569 @@ +/* ---------------------------------------------------------------------- + * Project: CMSIS DSP Library + * Title: arm_fir_interpolate_f32.c + * Description: Floating-point FIR interpolation sequences + * + * $Date: 27. January 2017 + * $Revision: V.1.5.1 + * + * Target Processor: Cortex-M cores + * -------------------------------------------------------------------- */ +/* + * Copyright (C) 2010-2017 ARM Limited or its affiliates. All rights reserved. + * + * SPDX-License-Identifier: Apache-2.0 + * + * Licensed under the Apache License, Version 2.0 (the License); you may + * not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an AS IS BASIS, WITHOUT + * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ + +#include "arm_math.h" + +/** + * @defgroup FIR_Interpolate Finite Impulse Response (FIR) Interpolator + * + * These functions combine an upsampler (zero stuffer) and an FIR filter. + * They are used in multirate systems for increasing the sample rate of a signal without introducing high frequency images. + * Conceptually, the functions are equivalent to the block diagram below: + * \image html FIRInterpolator.gif "Components included in the FIR Interpolator functions" + * After upsampling by a factor of L, the signal should be filtered by a lowpass filter with a normalized + * cutoff frequency of 1/L in order to eliminate high frequency copies of the spectrum. + * The user of the function is responsible for providing the filter coefficients. + * + * The FIR interpolator functions provided in the CMSIS DSP Library combine the upsampler and FIR filter in an efficient manner. + * The upsampler inserts L-1 zeros between each sample. + * Instead of multiplying by these zero values, the FIR filter is designed to skip them. + * This leads to an efficient implementation without any wasted effort. + * The functions operate on blocks of input and output data. + * pSrc points to an array of blockSize input values and + * pDst points to an array of blockSize*L output values. + * + * The library provides separate functions for Q15, Q31, and floating-point data types. + * + * \par Algorithm: + * The functions use a polyphase filter structure: + *
+ *    y[n] = b[0] * x[n] + b[L]   * x[n-1] + ... + b[L*(phaseLength-1)] * x[n-phaseLength+1]
+ *    y[n+1] = b[1] * x[n] + b[L+1] * x[n-1] + ... + b[L*(phaseLength-1)+1] * x[n-phaseLength+1]
+ *    ...
+ *    y[n+(L-1)] = b[L-1] * x[n] + b[2*L-1] * x[n-1] + ....+ b[L*(phaseLength-1)+(L-1)] * x[n-phaseLength+1]
+ * 
+ * This approach is more efficient than straightforward upsample-then-filter algorithms. + * With this method the computation is reduced by a factor of 1/L when compared to using a standard FIR filter. + * \par + * pCoeffs points to a coefficient array of size numTaps. + * numTaps must be a multiple of the interpolation factor L and this is checked by the + * initialization functions. + * Internally, the function divides the FIR filter's impulse response into shorter filters of length + * phaseLength=numTaps/L. + * Coefficients are stored in time reversed order. + * \par + *
+ *    {b[numTaps-1], b[numTaps-2], b[N-2], ..., b[1], b[0]}
+ * 
+ * \par + * pState points to a state array of size blockSize + phaseLength - 1. + * Samples in the state buffer are stored in the order: + * \par + *
+ *    {x[n-phaseLength+1], x[n-phaseLength], x[n-phaseLength-1], x[n-phaseLength-2]....x[0], x[1], ..., x[blockSize-1]}
+ * 
+ * The state variables are updated after each block of data is processed, the coefficients are untouched. + * + * \par Instance Structure + * The coefficients and state variables for a filter are stored together in an instance data structure. + * A separate instance structure must be defined for each filter. + * Coefficient arrays may be shared among several instances while state variable array should be allocated separately. + * There are separate instance structure declarations for each of the 3 supported data types. + * + * \par Initialization Functions + * There is also an associated initialization function for each data type. + * The initialization function performs the following operations: + * - Sets the values of the internal structure fields. + * - Zeros out the values in the state buffer. + * - Checks to make sure that the length of the filter is a multiple of the interpolation factor. + * To do this manually without calling the init function, assign the follow subfields of the instance structure: + * L (interpolation factor), pCoeffs, phaseLength (numTaps / L), pState. Also set all of the values in pState to zero. + * + * \par + * Use of the initialization function is optional. + * However, if the initialization function is used, then the instance structure cannot be placed into a const data section. + * To place an instance structure into a const data section, the instance structure must be manually initialized. + * The code below statically initializes each of the 3 different data type filter instance structures + *
+ * arm_fir_interpolate_instance_f32 S = {L, phaseLength, pCoeffs, pState};
+ * arm_fir_interpolate_instance_q31 S = {L, phaseLength, pCoeffs, pState};
+ * arm_fir_interpolate_instance_q15 S = {L, phaseLength, pCoeffs, pState};
+ * 
+ * where L is the interpolation factor; phaseLength=numTaps/L is the + * length of each of the shorter FIR filters used internally, + * pCoeffs is the address of the coefficient buffer; + * pState is the address of the state buffer. + * Be sure to set the values in the state buffer to zeros when doing static initialization. + * + * \par Fixed-Point Behavior + * Care must be taken when using the fixed-point versions of the FIR interpolate filter functions. + * In particular, the overflow and saturation behavior of the accumulator used in each function must be considered. + * Refer to the function specific documentation below for usage guidelines. + */ + +/** + * @addtogroup FIR_Interpolate + * @{ + */ + +/** + * @brief Processing function for the floating-point FIR interpolator. + * @param[in] *S points to an instance of the floating-point FIR interpolator structure. + * @param[in] *pSrc points to the block of input data. + * @param[out] *pDst points to the block of output data. + * @param[in] blockSize number of input samples to process per call. + * @return none. + */ +#if defined (ARM_MATH_DSP) + + /* Run the below code for Cortex-M4 and Cortex-M3 */ + +void arm_fir_interpolate_f32( + const arm_fir_interpolate_instance_f32 * S, + float32_t * pSrc, + float32_t * pDst, + uint32_t blockSize) +{ + float32_t *pState = S->pState; /* State pointer */ + float32_t *pCoeffs = S->pCoeffs; /* Coefficient pointer */ + float32_t *pStateCurnt; /* Points to the current sample of the state */ + float32_t *ptr1, *ptr2; /* Temporary pointers for state and coefficient buffers */ + float32_t sum0; /* Accumulators */ + float32_t x0, c0; /* Temporary variables to hold state and coefficient values */ + uint32_t i, blkCnt, j; /* Loop counters */ + uint16_t phaseLen = S->phaseLength, tapCnt; /* Length of each polyphase filter component */ + float32_t acc0, acc1, acc2, acc3; + float32_t x1, x2, x3; + uint32_t blkCntN4; + float32_t c1, c2, c3; + + /* S->pState buffer contains previous frame (phaseLen - 1) samples */ + /* pStateCurnt points to the location where the new input data should be written */ + pStateCurnt = S->pState + (phaseLen - 1U); + + /* Initialise blkCnt */ + blkCnt = blockSize / 4; + blkCntN4 = blockSize - (4 * blkCnt); + + /* Samples loop unrolled by 4 */ + while (blkCnt > 0U) + { + /* Copy new input sample into the state buffer */ + *pStateCurnt++ = *pSrc++; + *pStateCurnt++ = *pSrc++; + *pStateCurnt++ = *pSrc++; + *pStateCurnt++ = *pSrc++; + + /* Address modifier index of coefficient buffer */ + j = 1U; + + /* Loop over the Interpolation factor. */ + i = (S->L); + + while (i > 0U) + { + /* Set accumulator to zero */ + acc0 = 0.0f; + acc1 = 0.0f; + acc2 = 0.0f; + acc3 = 0.0f; + + /* Initialize state pointer */ + ptr1 = pState; + + /* Initialize coefficient pointer */ + ptr2 = pCoeffs + (S->L - j); + + /* Loop over the polyPhase length. Unroll by a factor of 4. + ** Repeat until we've computed numTaps-(4*S->L) coefficients. */ + tapCnt = phaseLen >> 2U; + + x0 = *(ptr1++); + x1 = *(ptr1++); + x2 = *(ptr1++); + + while (tapCnt > 0U) + { + + /* Read the input sample */ + x3 = *(ptr1++); + + /* Read the coefficient */ + c0 = *(ptr2); + + /* Perform the multiply-accumulate */ + acc0 += x0 * c0; + acc1 += x1 * c0; + acc2 += x2 * c0; + acc3 += x3 * c0; + + /* Read the coefficient */ + c1 = *(ptr2 + S->L); + + /* Read the input sample */ + x0 = *(ptr1++); + + /* Perform the multiply-accumulate */ + acc0 += x1 * c1; + acc1 += x2 * c1; + acc2 += x3 * c1; + acc3 += x0 * c1; + + /* Read the coefficient */ + c2 = *(ptr2 + S->L * 2); + + /* Read the input sample */ + x1 = *(ptr1++); + + /* Perform the multiply-accumulate */ + acc0 += x2 * c2; + acc1 += x3 * c2; + acc2 += x0 * c2; + acc3 += x1 * c2; + + /* Read the coefficient */ + c3 = *(ptr2 + S->L * 3); + + /* Read the input sample */ + x2 = *(ptr1++); + + /* Perform the multiply-accumulate */ + acc0 += x3 * c3; + acc1 += x0 * c3; + acc2 += x1 * c3; + acc3 += x2 * c3; + + + /* Upsampling is done by stuffing L-1 zeros between each sample. + * So instead of multiplying zeros with coefficients, + * Increment the coefficient pointer by interpolation factor times. */ + ptr2 += 4 * S->L; + + /* Decrement the loop counter */ + tapCnt--; + } + + /* If the polyPhase length is not a multiple of 4, compute the remaining filter taps */ + tapCnt = phaseLen % 0x4U; + + while (tapCnt > 0U) + { + + /* Read the input sample */ + x3 = *(ptr1++); + + /* Read the coefficient */ + c0 = *(ptr2); + + /* Perform the multiply-accumulate */ + acc0 += x0 * c0; + acc1 += x1 * c0; + acc2 += x2 * c0; + acc3 += x3 * c0; + + /* Increment the coefficient pointer by interpolation factor times. */ + ptr2 += S->L; + + /* update states for next sample processing */ + x0 = x1; + x1 = x2; + x2 = x3; + + /* Decrement the loop counter */ + tapCnt--; + } + + /* The result is in the accumulator, store in the destination buffer. */ + *pDst = acc0; + *(pDst + S->L) = acc1; + *(pDst + 2 * S->L) = acc2; + *(pDst + 3 * S->L) = acc3; + + pDst++; + + /* Increment the address modifier index of coefficient buffer */ + j++; + + /* Decrement the loop counter */ + i--; + } + + /* Advance the state pointer by 1 + * to process the next group of interpolation factor number samples */ + pState = pState + 4; + + pDst += S->L * 3; + + /* Decrement the loop counter */ + blkCnt--; + } + + /* If the blockSize is not a multiple of 4, compute any remaining output samples here. + ** No loop unrolling is used. */ + + while (blkCntN4 > 0U) + { + /* Copy new input sample into the state buffer */ + *pStateCurnt++ = *pSrc++; + + /* Address modifier index of coefficient buffer */ + j = 1U; + + /* Loop over the Interpolation factor. */ + i = S->L; + while (i > 0U) + { + /* Set accumulator to zero */ + sum0 = 0.0f; + + /* Initialize state pointer */ + ptr1 = pState; + + /* Initialize coefficient pointer */ + ptr2 = pCoeffs + (S->L - j); + + /* Loop over the polyPhase length. Unroll by a factor of 4. + ** Repeat until we've computed numTaps-(4*S->L) coefficients. */ + tapCnt = phaseLen >> 2U; + while (tapCnt > 0U) + { + + /* Read the coefficient */ + c0 = *(ptr2); + + /* Upsampling is done by stuffing L-1 zeros between each sample. + * So instead of multiplying zeros with coefficients, + * Increment the coefficient pointer by interpolation factor times. */ + ptr2 += S->L; + + /* Read the input sample */ + x0 = *(ptr1++); + + /* Perform the multiply-accumulate */ + sum0 += x0 * c0; + + /* Read the coefficient */ + c0 = *(ptr2); + + /* Increment the coefficient pointer by interpolation factor times. */ + ptr2 += S->L; + + /* Read the input sample */ + x0 = *(ptr1++); + + /* Perform the multiply-accumulate */ + sum0 += x0 * c0; + + /* Read the coefficient */ + c0 = *(ptr2); + + /* Increment the coefficient pointer by interpolation factor times. */ + ptr2 += S->L; + + /* Read the input sample */ + x0 = *(ptr1++); + + /* Perform the multiply-accumulate */ + sum0 += x0 * c0; + + /* Read the coefficient */ + c0 = *(ptr2); + + /* Increment the coefficient pointer by interpolation factor times. */ + ptr2 += S->L; + + /* Read the input sample */ + x0 = *(ptr1++); + + /* Perform the multiply-accumulate */ + sum0 += x0 * c0; + + /* Decrement the loop counter */ + tapCnt--; + } + + /* If the polyPhase length is not a multiple of 4, compute the remaining filter taps */ + tapCnt = phaseLen % 0x4U; + + while (tapCnt > 0U) + { + /* Perform the multiply-accumulate */ + sum0 += *(ptr1++) * (*ptr2); + + /* Increment the coefficient pointer by interpolation factor times. */ + ptr2 += S->L; + + /* Decrement the loop counter */ + tapCnt--; + } + + /* The result is in the accumulator, store in the destination buffer. */ + *pDst++ = sum0; + + /* Increment the address modifier index of coefficient buffer */ + j++; + + /* Decrement the loop counter */ + i--; + } + + /* Advance the state pointer by 1 + * to process the next group of interpolation factor number samples */ + pState = pState + 1; + + /* Decrement the loop counter */ + blkCntN4--; + } + + /* Processing is complete. + ** Now copy the last phaseLen - 1 samples to the satrt of the state buffer. + ** This prepares the state buffer for the next function call. */ + + /* Points to the start of the state buffer */ + pStateCurnt = S->pState; + + tapCnt = (phaseLen - 1U) >> 2U; + + /* copy data */ + while (tapCnt > 0U) + { + *pStateCurnt++ = *pState++; + *pStateCurnt++ = *pState++; + *pStateCurnt++ = *pState++; + *pStateCurnt++ = *pState++; + + /* Decrement the loop counter */ + tapCnt--; + } + + tapCnt = (phaseLen - 1U) % 0x04U; + + /* copy data */ + while (tapCnt > 0U) + { + *pStateCurnt++ = *pState++; + + /* Decrement the loop counter */ + tapCnt--; + } +} + +#else + + /* Run the below code for Cortex-M0 */ + +void arm_fir_interpolate_f32( + const arm_fir_interpolate_instance_f32 * S, + float32_t * pSrc, + float32_t * pDst, + uint32_t blockSize) +{ + float32_t *pState = S->pState; /* State pointer */ + float32_t *pCoeffs = S->pCoeffs; /* Coefficient pointer */ + float32_t *pStateCurnt; /* Points to the current sample of the state */ + float32_t *ptr1, *ptr2; /* Temporary pointers for state and coefficient buffers */ + + + float32_t sum; /* Accumulator */ + uint32_t i, blkCnt; /* Loop counters */ + uint16_t phaseLen = S->phaseLength, tapCnt; /* Length of each polyphase filter component */ + + + /* S->pState buffer contains previous frame (phaseLen - 1) samples */ + /* pStateCurnt points to the location where the new input data should be written */ + pStateCurnt = S->pState + (phaseLen - 1U); + + /* Total number of intput samples */ + blkCnt = blockSize; + + /* Loop over the blockSize. */ + while (blkCnt > 0U) + { + /* Copy new input sample into the state buffer */ + *pStateCurnt++ = *pSrc++; + + /* Loop over the Interpolation factor. */ + i = S->L; + + while (i > 0U) + { + /* Set accumulator to zero */ + sum = 0.0f; + + /* Initialize state pointer */ + ptr1 = pState; + + /* Initialize coefficient pointer */ + ptr2 = pCoeffs + (i - 1U); + + /* Loop over the polyPhase length */ + tapCnt = phaseLen; + + while (tapCnt > 0U) + { + /* Perform the multiply-accumulate */ + sum += *ptr1++ * *ptr2; + + /* Increment the coefficient pointer by interpolation factor times. */ + ptr2 += S->L; + + /* Decrement the loop counter */ + tapCnt--; + } + + /* The result is in the accumulator, store in the destination buffer. */ + *pDst++ = sum; + + /* Decrement the loop counter */ + i--; + } + + /* Advance the state pointer by 1 + * to process the next group of interpolation factor number samples */ + pState = pState + 1; + + /* Decrement the loop counter */ + blkCnt--; + } + + /* Processing is complete. + ** Now copy the last phaseLen - 1 samples to the start of the state buffer. + ** This prepares the state buffer for the next function call. */ + + /* Points to the start of the state buffer */ + pStateCurnt = S->pState; + + tapCnt = phaseLen - 1U; + + while (tapCnt > 0U) + { + *pStateCurnt++ = *pState++; + + /* Decrement the loop counter */ + tapCnt--; + } + +} + +#endif /* #if defined (ARM_MATH_DSP) */ + + + + /** + * @} end of FIR_Interpolate group + */ diff --git a/fw/hid-dials/Drivers/CMSIS/DSP/Source/FilteringFunctions/arm_fir_interpolate_init_f32.c b/fw/hid-dials/Drivers/CMSIS/DSP/Source/FilteringFunctions/arm_fir_interpolate_init_f32.c new file mode 100644 index 0000000..415c8da --- /dev/null +++ b/fw/hid-dials/Drivers/CMSIS/DSP/Source/FilteringFunctions/arm_fir_interpolate_init_f32.c @@ -0,0 +1,109 @@ +/* ---------------------------------------------------------------------- + * Project: CMSIS DSP Library + * Title: arm_fir_interpolate_init_f32.c + * Description: Floating-point FIR interpolator initialization function + * + * $Date: 27. January 2017 + * $Revision: V.1.5.1 + * + * Target Processor: Cortex-M cores + * -------------------------------------------------------------------- */ +/* + * Copyright (C) 2010-2017 ARM Limited or its affiliates. All rights reserved. + * + * SPDX-License-Identifier: Apache-2.0 + * + * Licensed under the Apache License, Version 2.0 (the License); you may + * not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an AS IS BASIS, WITHOUT + * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ + +#include "arm_math.h" + +/** + * @ingroup groupFilters + */ + +/** + * @addtogroup FIR_Interpolate + * @{ + */ + +/** + * @brief Initialization function for the floating-point FIR interpolator. + * @param[in,out] *S points to an instance of the floating-point FIR interpolator structure. + * @param[in] L upsample factor. + * @param[in] numTaps number of filter coefficients in the filter. + * @param[in] *pCoeffs points to the filter coefficient buffer. + * @param[in] *pState points to the state buffer. + * @param[in] blockSize number of input samples to process per call. + * @return The function returns ARM_MATH_SUCCESS if initialization was successful or ARM_MATH_LENGTH_ERROR if + * the filter length numTaps is not a multiple of the interpolation factor L. + * + * Description: + * \par + * pCoeffs points to the array of filter coefficients stored in time reversed order: + *
+ *    {b[numTaps-1], b[numTaps-2], b[numTaps-2], ..., b[1], b[0]}
+ * 
+ * The length of the filter numTaps must be a multiple of the interpolation factor L. + * \par + * pState points to the array of state variables. + * pState is of length (numTaps/L)+blockSize-1 words + * where blockSize is the number of input samples processed by each call to arm_fir_interpolate_f32(). + */ + +arm_status arm_fir_interpolate_init_f32( + arm_fir_interpolate_instance_f32 * S, + uint8_t L, + uint16_t numTaps, + float32_t * pCoeffs, + float32_t * pState, + uint32_t blockSize) +{ + arm_status status; + + /* The filter length must be a multiple of the interpolation factor */ + if ((numTaps % L) != 0U) + { + /* Set status as ARM_MATH_LENGTH_ERROR */ + status = ARM_MATH_LENGTH_ERROR; + } + else + { + + /* Assign coefficient pointer */ + S->pCoeffs = pCoeffs; + + /* Assign Interpolation factor */ + S->L = L; + + /* Assign polyPhaseLength */ + S->phaseLength = numTaps / L; + + /* Clear state buffer and size of state array is always phaseLength + blockSize - 1 */ + memset(pState, 0, + (blockSize + + ((uint32_t) S->phaseLength - 1U)) * sizeof(float32_t)); + + /* Assign state pointer */ + S->pState = pState; + + status = ARM_MATH_SUCCESS; + } + + return (status); + +} + + /** + * @} end of FIR_Interpolate group + */ diff --git a/fw/hid-dials/Drivers/CMSIS/DSP/Source/FilteringFunctions/arm_fir_interpolate_init_q15.c b/fw/hid-dials/Drivers/CMSIS/DSP/Source/FilteringFunctions/arm_fir_interpolate_init_q15.c new file mode 100644 index 0000000..6dce943 --- /dev/null +++ b/fw/hid-dials/Drivers/CMSIS/DSP/Source/FilteringFunctions/arm_fir_interpolate_init_q15.c @@ -0,0 +1,108 @@ +/* ---------------------------------------------------------------------- + * Project: CMSIS DSP Library + * Title: arm_fir_interpolate_init_q15.c + * Description: Q15 FIR interpolator initialization function + * + * $Date: 27. January 2017 + * $Revision: V.1.5.1 + * + * Target Processor: Cortex-M cores + * -------------------------------------------------------------------- */ +/* + * Copyright (C) 2010-2017 ARM Limited or its affiliates. All rights reserved. + * + * SPDX-License-Identifier: Apache-2.0 + * + * Licensed under the Apache License, Version 2.0 (the License); you may + * not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an AS IS BASIS, WITHOUT + * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ + +#include "arm_math.h" + +/** + * @ingroup groupFilters + */ + +/** + * @addtogroup FIR_Interpolate + * @{ + */ + +/** + * @brief Initialization function for the Q15 FIR interpolator. + * @param[in,out] *S points to an instance of the Q15 FIR interpolator structure. + * @param[in] L upsample factor. + * @param[in] numTaps number of filter coefficients in the filter. + * @param[in] *pCoeffs points to the filter coefficient buffer. + * @param[in] *pState points to the state buffer. + * @param[in] blockSize number of input samples to process per call. + * @return The function returns ARM_MATH_SUCCESS if initialization was successful or ARM_MATH_LENGTH_ERROR if + * the filter length numTaps is not a multiple of the interpolation factor L. + * + * Description: + * \par + * pCoeffs points to the array of filter coefficients stored in time reversed order: + *
+ *    {b[numTaps-1], b[numTaps-2], b[numTaps-2], ..., b[1], b[0]}
+ * 
+ * The length of the filter numTaps must be a multiple of the interpolation factor L. + * \par + * pState points to the array of state variables. + * pState is of length (numTaps/L)+blockSize-1 words + * where blockSize is the number of input samples processed by each call to arm_fir_interpolate_q15(). + */ + +arm_status arm_fir_interpolate_init_q15( + arm_fir_interpolate_instance_q15 * S, + uint8_t L, + uint16_t numTaps, + q15_t * pCoeffs, + q15_t * pState, + uint32_t blockSize) +{ + arm_status status; + + /* The filter length must be a multiple of the interpolation factor */ + if ((numTaps % L) != 0U) + { + /* Set status as ARM_MATH_LENGTH_ERROR */ + status = ARM_MATH_LENGTH_ERROR; + } + else + { + + /* Assign coefficient pointer */ + S->pCoeffs = pCoeffs; + + /* Assign Interpolation factor */ + S->L = L; + + /* Assign polyPhaseLength */ + S->phaseLength = numTaps / L; + + /* Clear state buffer and size of buffer is always phaseLength + blockSize - 1 */ + memset(pState, 0, + (blockSize + ((uint32_t) S->phaseLength - 1U)) * sizeof(q15_t)); + + /* Assign state pointer */ + S->pState = pState; + + status = ARM_MATH_SUCCESS; + } + + return (status); + +} + + /** + * @} end of FIR_Interpolate group + */ diff --git a/fw/hid-dials/Drivers/CMSIS/DSP/Source/FilteringFunctions/arm_fir_interpolate_init_q31.c b/fw/hid-dials/Drivers/CMSIS/DSP/Source/FilteringFunctions/arm_fir_interpolate_init_q31.c new file mode 100644 index 0000000..9875aa8 --- /dev/null +++ b/fw/hid-dials/Drivers/CMSIS/DSP/Source/FilteringFunctions/arm_fir_interpolate_init_q31.c @@ -0,0 +1,109 @@ +/* ---------------------------------------------------------------------- + * Project: CMSIS DSP Library + * Title: arm_fir_interpolate_init_q31.c + * Description: Q31 FIR interpolator initialization function + * + * $Date: 27. January 2017 + * $Revision: V.1.5.1 + * + * Target Processor: Cortex-M cores + * -------------------------------------------------------------------- */ +/* + * Copyright (C) 2010-2017 ARM Limited or its affiliates. All rights reserved. + * + * SPDX-License-Identifier: Apache-2.0 + * + * Licensed under the Apache License, Version 2.0 (the License); you may + * not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an AS IS BASIS, WITHOUT + * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ + +#include "arm_math.h" + +/** + * @ingroup groupFilters + */ + +/** + * @addtogroup FIR_Interpolate + * @{ + */ + + +/** + * @brief Initialization function for the Q31 FIR interpolator. + * @param[in,out] *S points to an instance of the Q31 FIR interpolator structure. + * @param[in] L upsample factor. + * @param[in] numTaps number of filter coefficients in the filter. + * @param[in] *pCoeffs points to the filter coefficient buffer. + * @param[in] *pState points to the state buffer. + * @param[in] blockSize number of input samples to process per call. + * @return The function returns ARM_MATH_SUCCESS if initialization was successful or ARM_MATH_LENGTH_ERROR if + * the filter length numTaps is not a multiple of the interpolation factor L. + * + * Description: + * \par + * pCoeffs points to the array of filter coefficients stored in time reversed order: + *
+ *    {b[numTaps-1], b[numTaps-2], b[numTaps-2], ..., b[1], b[0]}
+ * 
+ * The length of the filter numTaps must be a multiple of the interpolation factor L. + * \par + * pState points to the array of state variables. + * pState is of length (numTaps/L)+blockSize-1 words + * where blockSize is the number of input samples processed by each call to arm_fir_interpolate_q31(). + */ + +arm_status arm_fir_interpolate_init_q31( + arm_fir_interpolate_instance_q31 * S, + uint8_t L, + uint16_t numTaps, + q31_t * pCoeffs, + q31_t * pState, + uint32_t blockSize) +{ + arm_status status; + + /* The filter length must be a multiple of the interpolation factor */ + if ((numTaps % L) != 0U) + { + /* Set status as ARM_MATH_LENGTH_ERROR */ + status = ARM_MATH_LENGTH_ERROR; + } + else + { + + /* Assign coefficient pointer */ + S->pCoeffs = pCoeffs; + + /* Assign Interpolation factor */ + S->L = L; + + /* Assign polyPhaseLength */ + S->phaseLength = numTaps / L; + + /* Clear state buffer and size of buffer is always phaseLength + blockSize - 1 */ + memset(pState, 0, + (blockSize + ((uint32_t) S->phaseLength - 1U)) * sizeof(q31_t)); + + /* Assign state pointer */ + S->pState = pState; + + status = ARM_MATH_SUCCESS; + } + + return (status); + +} + + /** + * @} end of FIR_Interpolate group + */ diff --git a/fw/hid-dials/Drivers/CMSIS/DSP/Source/FilteringFunctions/arm_fir_interpolate_q15.c b/fw/hid-dials/Drivers/CMSIS/DSP/Source/FilteringFunctions/arm_fir_interpolate_q15.c new file mode 100644 index 0000000..1cedd25 --- /dev/null +++ b/fw/hid-dials/Drivers/CMSIS/DSP/Source/FilteringFunctions/arm_fir_interpolate_q15.c @@ -0,0 +1,496 @@ +/* ---------------------------------------------------------------------- + * Project: CMSIS DSP Library + * Title: arm_fir_interpolate_q15.c + * Description: Q15 FIR interpolation + * + * $Date: 27. January 2017 + * $Revision: V.1.5.1 + * + * Target Processor: Cortex-M cores + * -------------------------------------------------------------------- */ +/* + * Copyright (C) 2010-2017 ARM Limited or its affiliates. All rights reserved. + * + * SPDX-License-Identifier: Apache-2.0 + * + * Licensed under the Apache License, Version 2.0 (the License); you may + * not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an AS IS BASIS, WITHOUT + * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ + +#include "arm_math.h" + +/** + * @ingroup groupFilters + */ + +/** + * @addtogroup FIR_Interpolate + * @{ + */ + +/** + * @brief Processing function for the Q15 FIR interpolator. + * @param[in] *S points to an instance of the Q15 FIR interpolator structure. + * @param[in] *pSrc points to the block of input data. + * @param[out] *pDst points to the block of output data. + * @param[in] blockSize number of input samples to process per call. + * @return none. + * + * Scaling and Overflow Behavior: + * \par + * The function is implemented using a 64-bit internal accumulator. + * Both coefficients and state variables are represented in 1.15 format and multiplications yield a 2.30 result. + * The 2.30 intermediate results are accumulated in a 64-bit accumulator in 34.30 format. + * There is no risk of internal overflow with this approach and the full precision of intermediate multiplications is preserved. + * After all additions have been performed, the accumulator is truncated to 34.15 format by discarding low 15 bits. + * Lastly, the accumulator is saturated to yield a result in 1.15 format. + */ + +#if defined (ARM_MATH_DSP) + + /* Run the below code for Cortex-M4 and Cortex-M3 */ + +void arm_fir_interpolate_q15( + const arm_fir_interpolate_instance_q15 * S, + q15_t * pSrc, + q15_t * pDst, + uint32_t blockSize) +{ + q15_t *pState = S->pState; /* State pointer */ + q15_t *pCoeffs = S->pCoeffs; /* Coefficient pointer */ + q15_t *pStateCurnt; /* Points to the current sample of the state */ + q15_t *ptr1, *ptr2; /* Temporary pointers for state and coefficient buffers */ + q63_t sum0; /* Accumulators */ + q15_t x0, c0; /* Temporary variables to hold state and coefficient values */ + uint32_t i, blkCnt, j, tapCnt; /* Loop counters */ + uint16_t phaseLen = S->phaseLength; /* Length of each polyphase filter component */ + uint32_t blkCntN2; + q63_t acc0, acc1; + q15_t x1; + + /* S->pState buffer contains previous frame (phaseLen - 1) samples */ + /* pStateCurnt points to the location where the new input data should be written */ + pStateCurnt = S->pState + ((q31_t) phaseLen - 1); + + /* Initialise blkCnt */ + blkCnt = blockSize / 2; + blkCntN2 = blockSize - (2 * blkCnt); + + /* Samples loop unrolled by 2 */ + while (blkCnt > 0U) + { + /* Copy new input sample into the state buffer */ + *pStateCurnt++ = *pSrc++; + *pStateCurnt++ = *pSrc++; + + /* Address modifier index of coefficient buffer */ + j = 1U; + + /* Loop over the Interpolation factor. */ + i = (S->L); + + while (i > 0U) + { + /* Set accumulator to zero */ + acc0 = 0; + acc1 = 0; + + /* Initialize state pointer */ + ptr1 = pState; + + /* Initialize coefficient pointer */ + ptr2 = pCoeffs + (S->L - j); + + /* Loop over the polyPhase length. Unroll by a factor of 4. + ** Repeat until we've computed numTaps-(4*S->L) coefficients. */ + tapCnt = phaseLen >> 2U; + + x0 = *(ptr1++); + + while (tapCnt > 0U) + { + + /* Read the input sample */ + x1 = *(ptr1++); + + /* Read the coefficient */ + c0 = *(ptr2); + + /* Perform the multiply-accumulate */ + acc0 += (q63_t) x0 *c0; + acc1 += (q63_t) x1 *c0; + + + /* Read the coefficient */ + c0 = *(ptr2 + S->L); + + /* Read the input sample */ + x0 = *(ptr1++); + + /* Perform the multiply-accumulate */ + acc0 += (q63_t) x1 *c0; + acc1 += (q63_t) x0 *c0; + + + /* Read the coefficient */ + c0 = *(ptr2 + S->L * 2); + + /* Read the input sample */ + x1 = *(ptr1++); + + /* Perform the multiply-accumulate */ + acc0 += (q63_t) x0 *c0; + acc1 += (q63_t) x1 *c0; + + /* Read the coefficient */ + c0 = *(ptr2 + S->L * 3); + + /* Read the input sample */ + x0 = *(ptr1++); + + /* Perform the multiply-accumulate */ + acc0 += (q63_t) x1 *c0; + acc1 += (q63_t) x0 *c0; + + + /* Upsampling is done by stuffing L-1 zeros between each sample. + * So instead of multiplying zeros with coefficients, + * Increment the coefficient pointer by interpolation factor times. */ + ptr2 += 4 * S->L; + + /* Decrement the loop counter */ + tapCnt--; + } + + /* If the polyPhase length is not a multiple of 4, compute the remaining filter taps */ + tapCnt = phaseLen % 0x4U; + + while (tapCnt > 0U) + { + + /* Read the input sample */ + x1 = *(ptr1++); + + /* Read the coefficient */ + c0 = *(ptr2); + + /* Perform the multiply-accumulate */ + acc0 += (q63_t) x0 *c0; + acc1 += (q63_t) x1 *c0; + + /* Increment the coefficient pointer by interpolation factor times. */ + ptr2 += S->L; + + /* update states for next sample processing */ + x0 = x1; + + /* Decrement the loop counter */ + tapCnt--; + } + + /* The result is in the accumulator, store in the destination buffer. */ + *pDst = (q15_t) (__SSAT((acc0 >> 15), 16)); + *(pDst + S->L) = (q15_t) (__SSAT((acc1 >> 15), 16)); + + pDst++; + + /* Increment the address modifier index of coefficient buffer */ + j++; + + /* Decrement the loop counter */ + i--; + } + + /* Advance the state pointer by 1 + * to process the next group of interpolation factor number samples */ + pState = pState + 2; + + pDst += S->L; + + /* Decrement the loop counter */ + blkCnt--; + } + + /* If the blockSize is not a multiple of 2, compute any remaining output samples here. + ** No loop unrolling is used. */ + blkCnt = blkCntN2; + + /* Loop over the blockSize. */ + while (blkCnt > 0U) + { + /* Copy new input sample into the state buffer */ + *pStateCurnt++ = *pSrc++; + + /* Address modifier index of coefficient buffer */ + j = 1U; + + /* Loop over the Interpolation factor. */ + i = S->L; + while (i > 0U) + { + /* Set accumulator to zero */ + sum0 = 0; + + /* Initialize state pointer */ + ptr1 = pState; + + /* Initialize coefficient pointer */ + ptr2 = pCoeffs + (S->L - j); + + /* Loop over the polyPhase length. Unroll by a factor of 4. + ** Repeat until we've computed numTaps-(4*S->L) coefficients. */ + tapCnt = phaseLen >> 2; + while (tapCnt > 0U) + { + + /* Read the coefficient */ + c0 = *(ptr2); + + /* Upsampling is done by stuffing L-1 zeros between each sample. + * So instead of multiplying zeros with coefficients, + * Increment the coefficient pointer by interpolation factor times. */ + ptr2 += S->L; + + /* Read the input sample */ + x0 = *(ptr1++); + + /* Perform the multiply-accumulate */ + sum0 += (q63_t) x0 *c0; + + /* Read the coefficient */ + c0 = *(ptr2); + + /* Increment the coefficient pointer by interpolation factor times. */ + ptr2 += S->L; + + /* Read the input sample */ + x0 = *(ptr1++); + + /* Perform the multiply-accumulate */ + sum0 += (q63_t) x0 *c0; + + /* Read the coefficient */ + c0 = *(ptr2); + + /* Increment the coefficient pointer by interpolation factor times. */ + ptr2 += S->L; + + /* Read the input sample */ + x0 = *(ptr1++); + + /* Perform the multiply-accumulate */ + sum0 += (q63_t) x0 *c0; + + /* Read the coefficient */ + c0 = *(ptr2); + + /* Increment the coefficient pointer by interpolation factor times. */ + ptr2 += S->L; + + /* Read the input sample */ + x0 = *(ptr1++); + + /* Perform the multiply-accumulate */ + sum0 += (q63_t) x0 *c0; + + /* Decrement the loop counter */ + tapCnt--; + } + + /* If the polyPhase length is not a multiple of 4, compute the remaining filter taps */ + tapCnt = phaseLen & 0x3U; + + while (tapCnt > 0U) + { + /* Read the coefficient */ + c0 = *(ptr2); + + /* Increment the coefficient pointer by interpolation factor times. */ + ptr2 += S->L; + + /* Read the input sample */ + x0 = *(ptr1++); + + /* Perform the multiply-accumulate */ + sum0 += (q63_t) x0 *c0; + + /* Decrement the loop counter */ + tapCnt--; + } + + /* The result is in the accumulator, store in the destination buffer. */ + *pDst++ = (q15_t) (__SSAT((sum0 >> 15), 16)); + + j++; + + /* Decrement the loop counter */ + i--; + } + + /* Advance the state pointer by 1 + * to process the next group of interpolation factor number samples */ + pState = pState + 1; + + /* Decrement the loop counter */ + blkCnt--; + } + + + /* Processing is complete. + ** Now copy the last phaseLen - 1 samples to the satrt of the state buffer. + ** This prepares the state buffer for the next function call. */ + + /* Points to the start of the state buffer */ + pStateCurnt = S->pState; + + i = ((uint32_t) phaseLen - 1U) >> 2U; + + /* copy data */ + while (i > 0U) + { +#ifndef UNALIGNED_SUPPORT_DISABLE + + *__SIMD32(pStateCurnt)++ = *__SIMD32(pState)++; + *__SIMD32(pStateCurnt)++ = *__SIMD32(pState)++; + +#else + + *pStateCurnt++ = *pState++; + *pStateCurnt++ = *pState++; + *pStateCurnt++ = *pState++; + *pStateCurnt++ = *pState++; + +#endif /* #ifndef UNALIGNED_SUPPORT_DISABLE */ + + /* Decrement the loop counter */ + i--; + } + + i = ((uint32_t) phaseLen - 1U) % 0x04U; + + while (i > 0U) + { + *pStateCurnt++ = *pState++; + + /* Decrement the loop counter */ + i--; + } +} + +#else + + /* Run the below code for Cortex-M0 */ + +void arm_fir_interpolate_q15( + const arm_fir_interpolate_instance_q15 * S, + q15_t * pSrc, + q15_t * pDst, + uint32_t blockSize) +{ + q15_t *pState = S->pState; /* State pointer */ + q15_t *pCoeffs = S->pCoeffs; /* Coefficient pointer */ + q15_t *pStateCurnt; /* Points to the current sample of the state */ + q15_t *ptr1, *ptr2; /* Temporary pointers for state and coefficient buffers */ + q63_t sum; /* Accumulator */ + q15_t x0, c0; /* Temporary variables to hold state and coefficient values */ + uint32_t i, blkCnt, tapCnt; /* Loop counters */ + uint16_t phaseLen = S->phaseLength; /* Length of each polyphase filter component */ + + + /* S->pState buffer contains previous frame (phaseLen - 1) samples */ + /* pStateCurnt points to the location where the new input data should be written */ + pStateCurnt = S->pState + (phaseLen - 1U); + + /* Total number of intput samples */ + blkCnt = blockSize; + + /* Loop over the blockSize. */ + while (blkCnt > 0U) + { + /* Copy new input sample into the state buffer */ + *pStateCurnt++ = *pSrc++; + + /* Loop over the Interpolation factor. */ + i = S->L; + + while (i > 0U) + { + /* Set accumulator to zero */ + sum = 0; + + /* Initialize state pointer */ + ptr1 = pState; + + /* Initialize coefficient pointer */ + ptr2 = pCoeffs + (i - 1U); + + /* Loop over the polyPhase length */ + tapCnt = (uint32_t) phaseLen; + + while (tapCnt > 0U) + { + /* Read the coefficient */ + c0 = *ptr2; + + /* Increment the coefficient pointer by interpolation factor times. */ + ptr2 += S->L; + + /* Read the input sample */ + x0 = *ptr1++; + + /* Perform the multiply-accumulate */ + sum += ((q31_t) x0 * c0); + + /* Decrement the loop counter */ + tapCnt--; + } + + /* Store the result after converting to 1.15 format in the destination buffer */ + *pDst++ = (q15_t) (__SSAT((sum >> 15), 16)); + + /* Decrement the loop counter */ + i--; + } + + /* Advance the state pointer by 1 + * to process the next group of interpolation factor number samples */ + pState = pState + 1; + + /* Decrement the loop counter */ + blkCnt--; + } + + /* Processing is complete. + ** Now copy the last phaseLen - 1 samples to the start of the state buffer. + ** This prepares the state buffer for the next function call. */ + + /* Points to the start of the state buffer */ + pStateCurnt = S->pState; + + i = (uint32_t) phaseLen - 1U; + + while (i > 0U) + { + *pStateCurnt++ = *pState++; + + /* Decrement the loop counter */ + i--; + } + +} + +#endif /* #if defined (ARM_MATH_DSP) */ + + + /** + * @} end of FIR_Interpolate group + */ diff --git a/fw/hid-dials/Drivers/CMSIS/DSP/Source/FilteringFunctions/arm_fir_interpolate_q31.c b/fw/hid-dials/Drivers/CMSIS/DSP/Source/FilteringFunctions/arm_fir_interpolate_q31.c new file mode 100644 index 0000000..2c0f522 --- /dev/null +++ b/fw/hid-dials/Drivers/CMSIS/DSP/Source/FilteringFunctions/arm_fir_interpolate_q31.c @@ -0,0 +1,492 @@ +/* ---------------------------------------------------------------------- + * Project: CMSIS DSP Library + * Title: arm_fir_interpolate_q31.c + * Description: Q31 FIR interpolation + * + * $Date: 27. January 2017 + * $Revision: V.1.5.1 + * + * Target Processor: Cortex-M cores + * -------------------------------------------------------------------- */ +/* + * Copyright (C) 2010-2017 ARM Limited or its affiliates. All rights reserved. + * + * SPDX-License-Identifier: Apache-2.0 + * + * Licensed under the Apache License, Version 2.0 (the License); you may + * not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an AS IS BASIS, WITHOUT + * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ + +#include "arm_math.h" + +/** + * @ingroup groupFilters + */ + +/** + * @addtogroup FIR_Interpolate + * @{ + */ + +/** + * @brief Processing function for the Q31 FIR interpolator. + * @param[in] *S points to an instance of the Q31 FIR interpolator structure. + * @param[in] *pSrc points to the block of input data. + * @param[out] *pDst points to the block of output data. + * @param[in] blockSize number of input samples to process per call. + * @return none. + * + * Scaling and Overflow Behavior: + * \par + * The function is implemented using an internal 64-bit accumulator. + * The accumulator has a 2.62 format and maintains full precision of the intermediate multiplication results but provides only a single guard bit. + * Thus, if the accumulator result overflows it wraps around rather than clip. + * In order to avoid overflows completely the input signal must be scaled down by 1/(numTaps/L). + * since numTaps/L additions occur per output sample. + * After all multiply-accumulates are performed, the 2.62 accumulator is truncated to 1.32 format and then saturated to 1.31 format. + */ + +#if defined (ARM_MATH_DSP) + + /* Run the below code for Cortex-M4 and Cortex-M3 */ + +void arm_fir_interpolate_q31( + const arm_fir_interpolate_instance_q31 * S, + q31_t * pSrc, + q31_t * pDst, + uint32_t blockSize) +{ + q31_t *pState = S->pState; /* State pointer */ + q31_t *pCoeffs = S->pCoeffs; /* Coefficient pointer */ + q31_t *pStateCurnt; /* Points to the current sample of the state */ + q31_t *ptr1, *ptr2; /* Temporary pointers for state and coefficient buffers */ + q63_t sum0; /* Accumulators */ + q31_t x0, c0; /* Temporary variables to hold state and coefficient values */ + uint32_t i, blkCnt, j; /* Loop counters */ + uint16_t phaseLen = S->phaseLength, tapCnt; /* Length of each polyphase filter component */ + + uint32_t blkCntN2; + q63_t acc0, acc1; + q31_t x1; + + /* S->pState buffer contains previous frame (phaseLen - 1) samples */ + /* pStateCurnt points to the location where the new input data should be written */ + pStateCurnt = S->pState + ((q31_t) phaseLen - 1); + + /* Initialise blkCnt */ + blkCnt = blockSize / 2; + blkCntN2 = blockSize - (2 * blkCnt); + + /* Samples loop unrolled by 2 */ + while (blkCnt > 0U) + { + /* Copy new input sample into the state buffer */ + *pStateCurnt++ = *pSrc++; + *pStateCurnt++ = *pSrc++; + + /* Address modifier index of coefficient buffer */ + j = 1U; + + /* Loop over the Interpolation factor. */ + i = (S->L); + + while (i > 0U) + { + /* Set accumulator to zero */ + acc0 = 0; + acc1 = 0; + + /* Initialize state pointer */ + ptr1 = pState; + + /* Initialize coefficient pointer */ + ptr2 = pCoeffs + (S->L - j); + + /* Loop over the polyPhase length. Unroll by a factor of 4. + ** Repeat until we've computed numTaps-(4*S->L) coefficients. */ + tapCnt = phaseLen >> 2U; + + x0 = *(ptr1++); + + while (tapCnt > 0U) + { + + /* Read the input sample */ + x1 = *(ptr1++); + + /* Read the coefficient */ + c0 = *(ptr2); + + /* Perform the multiply-accumulate */ + acc0 += (q63_t) x0 *c0; + acc1 += (q63_t) x1 *c0; + + + /* Read the coefficient */ + c0 = *(ptr2 + S->L); + + /* Read the input sample */ + x0 = *(ptr1++); + + /* Perform the multiply-accumulate */ + acc0 += (q63_t) x1 *c0; + acc1 += (q63_t) x0 *c0; + + + /* Read the coefficient */ + c0 = *(ptr2 + S->L * 2); + + /* Read the input sample */ + x1 = *(ptr1++); + + /* Perform the multiply-accumulate */ + acc0 += (q63_t) x0 *c0; + acc1 += (q63_t) x1 *c0; + + /* Read the coefficient */ + c0 = *(ptr2 + S->L * 3); + + /* Read the input sample */ + x0 = *(ptr1++); + + /* Perform the multiply-accumulate */ + acc0 += (q63_t) x1 *c0; + acc1 += (q63_t) x0 *c0; + + + /* Upsampling is done by stuffing L-1 zeros between each sample. + * So instead of multiplying zeros with coefficients, + * Increment the coefficient pointer by interpolation factor times. */ + ptr2 += 4 * S->L; + + /* Decrement the loop counter */ + tapCnt--; + } + + /* If the polyPhase length is not a multiple of 4, compute the remaining filter taps */ + tapCnt = phaseLen % 0x4U; + + while (tapCnt > 0U) + { + + /* Read the input sample */ + x1 = *(ptr1++); + + /* Read the coefficient */ + c0 = *(ptr2); + + /* Perform the multiply-accumulate */ + acc0 += (q63_t) x0 *c0; + acc1 += (q63_t) x1 *c0; + + /* Increment the coefficient pointer by interpolation factor times. */ + ptr2 += S->L; + + /* update states for next sample processing */ + x0 = x1; + + /* Decrement the loop counter */ + tapCnt--; + } + + /* The result is in the accumulator, store in the destination buffer. */ + *pDst = (q31_t) (acc0 >> 31); + *(pDst + S->L) = (q31_t) (acc1 >> 31); + + + pDst++; + + /* Increment the address modifier index of coefficient buffer */ + j++; + + /* Decrement the loop counter */ + i--; + } + + /* Advance the state pointer by 1 + * to process the next group of interpolation factor number samples */ + pState = pState + 2; + + pDst += S->L; + + /* Decrement the loop counter */ + blkCnt--; + } + + /* If the blockSize is not a multiple of 2, compute any remaining output samples here. + ** No loop unrolling is used. */ + blkCnt = blkCntN2; + + /* Loop over the blockSize. */ + while (blkCnt > 0U) + { + /* Copy new input sample into the state buffer */ + *pStateCurnt++ = *pSrc++; + + /* Address modifier index of coefficient buffer */ + j = 1U; + + /* Loop over the Interpolation factor. */ + i = S->L; + while (i > 0U) + { + /* Set accumulator to zero */ + sum0 = 0; + + /* Initialize state pointer */ + ptr1 = pState; + + /* Initialize coefficient pointer */ + ptr2 = pCoeffs + (S->L - j); + + /* Loop over the polyPhase length. Unroll by a factor of 4. + ** Repeat until we've computed numTaps-(4*S->L) coefficients. */ + tapCnt = phaseLen >> 2; + while (tapCnt > 0U) + { + + /* Read the coefficient */ + c0 = *(ptr2); + + /* Upsampling is done by stuffing L-1 zeros between each sample. + * So instead of multiplying zeros with coefficients, + * Increment the coefficient pointer by interpolation factor times. */ + ptr2 += S->L; + + /* Read the input sample */ + x0 = *(ptr1++); + + /* Perform the multiply-accumulate */ + sum0 += (q63_t) x0 *c0; + + /* Read the coefficient */ + c0 = *(ptr2); + + /* Increment the coefficient pointer by interpolation factor times. */ + ptr2 += S->L; + + /* Read the input sample */ + x0 = *(ptr1++); + + /* Perform the multiply-accumulate */ + sum0 += (q63_t) x0 *c0; + + /* Read the coefficient */ + c0 = *(ptr2); + + /* Increment the coefficient pointer by interpolation factor times. */ + ptr2 += S->L; + + /* Read the input sample */ + x0 = *(ptr1++); + + /* Perform the multiply-accumulate */ + sum0 += (q63_t) x0 *c0; + + /* Read the coefficient */ + c0 = *(ptr2); + + /* Increment the coefficient pointer by interpolation factor times. */ + ptr2 += S->L; + + /* Read the input sample */ + x0 = *(ptr1++); + + /* Perform the multiply-accumulate */ + sum0 += (q63_t) x0 *c0; + + /* Decrement the loop counter */ + tapCnt--; + } + + /* If the polyPhase length is not a multiple of 4, compute the remaining filter taps */ + tapCnt = phaseLen & 0x3U; + + while (tapCnt > 0U) + { + /* Read the coefficient */ + c0 = *(ptr2); + + /* Increment the coefficient pointer by interpolation factor times. */ + ptr2 += S->L; + + /* Read the input sample */ + x0 = *(ptr1++); + + /* Perform the multiply-accumulate */ + sum0 += (q63_t) x0 *c0; + + /* Decrement the loop counter */ + tapCnt--; + } + + /* The result is in the accumulator, store in the destination buffer. */ + *pDst++ = (q31_t) (sum0 >> 31); + + /* Increment the address modifier index of coefficient buffer */ + j++; + + /* Decrement the loop counter */ + i--; + } + + /* Advance the state pointer by 1 + * to process the next group of interpolation factor number samples */ + pState = pState + 1; + + /* Decrement the loop counter */ + blkCnt--; + } + + /* Processing is complete. + ** Now copy the last phaseLen - 1 samples to the satrt of the state buffer. + ** This prepares the state buffer for the next function call. */ + + /* Points to the start of the state buffer */ + pStateCurnt = S->pState; + + tapCnt = (phaseLen - 1U) >> 2U; + + /* copy data */ + while (tapCnt > 0U) + { + *pStateCurnt++ = *pState++; + *pStateCurnt++ = *pState++; + *pStateCurnt++ = *pState++; + *pStateCurnt++ = *pState++; + + /* Decrement the loop counter */ + tapCnt--; + } + + tapCnt = (phaseLen - 1U) % 0x04U; + + /* copy data */ + while (tapCnt > 0U) + { + *pStateCurnt++ = *pState++; + + /* Decrement the loop counter */ + tapCnt--; + } + +} + + +#else + +void arm_fir_interpolate_q31( + const arm_fir_interpolate_instance_q31 * S, + q31_t * pSrc, + q31_t * pDst, + uint32_t blockSize) +{ + q31_t *pState = S->pState; /* State pointer */ + q31_t *pCoeffs = S->pCoeffs; /* Coefficient pointer */ + q31_t *pStateCurnt; /* Points to the current sample of the state */ + q31_t *ptr1, *ptr2; /* Temporary pointers for state and coefficient buffers */ + + /* Run the below code for Cortex-M0 */ + + q63_t sum; /* Accumulator */ + q31_t x0, c0; /* Temporary variables to hold state and coefficient values */ + uint32_t i, blkCnt; /* Loop counters */ + uint16_t phaseLen = S->phaseLength, tapCnt; /* Length of each polyphase filter component */ + + + /* S->pState buffer contains previous frame (phaseLen - 1) samples */ + /* pStateCurnt points to the location where the new input data should be written */ + pStateCurnt = S->pState + ((q31_t) phaseLen - 1); + + /* Total number of intput samples */ + blkCnt = blockSize; + + /* Loop over the blockSize. */ + while (blkCnt > 0U) + { + /* Copy new input sample into the state buffer */ + *pStateCurnt++ = *pSrc++; + + /* Loop over the Interpolation factor. */ + i = S->L; + + while (i > 0U) + { + /* Set accumulator to zero */ + sum = 0; + + /* Initialize state pointer */ + ptr1 = pState; + + /* Initialize coefficient pointer */ + ptr2 = pCoeffs + (i - 1U); + + tapCnt = phaseLen; + + while (tapCnt > 0U) + { + /* Read the coefficient */ + c0 = *(ptr2); + + /* Increment the coefficient pointer by interpolation factor times. */ + ptr2 += S->L; + + /* Read the input sample */ + x0 = *ptr1++; + + /* Perform the multiply-accumulate */ + sum += (q63_t) x0 *c0; + + /* Decrement the loop counter */ + tapCnt--; + } + + /* The result is in the accumulator, store in the destination buffer. */ + *pDst++ = (q31_t) (sum >> 31); + + /* Decrement the loop counter */ + i--; + } + + /* Advance the state pointer by 1 + * to process the next group of interpolation factor number samples */ + pState = pState + 1; + + /* Decrement the loop counter */ + blkCnt--; + } + + /* Processing is complete. + ** Now copy the last phaseLen - 1 samples to the satrt of the state buffer. + ** This prepares the state buffer for the next function call. */ + + /* Points to the start of the state buffer */ + pStateCurnt = S->pState; + + tapCnt = phaseLen - 1U; + + /* copy data */ + while (tapCnt > 0U) + { + *pStateCurnt++ = *pState++; + + /* Decrement the loop counter */ + tapCnt--; + } + +} + +#endif /* #if defined (ARM_MATH_DSP) */ + + /** + * @} end of FIR_Interpolate group + */ diff --git a/fw/hid-dials/Drivers/CMSIS/DSP/Source/FilteringFunctions/arm_fir_lattice_f32.c b/fw/hid-dials/Drivers/CMSIS/DSP/Source/FilteringFunctions/arm_fir_lattice_f32.c new file mode 100644 index 0000000..1b6d0fb --- /dev/null +++ b/fw/hid-dials/Drivers/CMSIS/DSP/Source/FilteringFunctions/arm_fir_lattice_f32.c @@ -0,0 +1,494 @@ +/* ---------------------------------------------------------------------- + * Project: CMSIS DSP Library + * Title: arm_fir_lattice_f32.c + * Description: Processing function for the floating-point FIR Lattice filter + * + * $Date: 27. January 2017 + * $Revision: V.1.5.1 + * + * Target Processor: Cortex-M cores + * -------------------------------------------------------------------- */ +/* + * Copyright (C) 2010-2017 ARM Limited or its affiliates. All rights reserved. + * + * SPDX-License-Identifier: Apache-2.0 + * + * Licensed under the Apache License, Version 2.0 (the License); you may + * not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an AS IS BASIS, WITHOUT + * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ + +#include "arm_math.h" + +/** + * @ingroup groupFilters + */ + +/** + * @defgroup FIR_Lattice Finite Impulse Response (FIR) Lattice Filters + * + * This set of functions implements Finite Impulse Response (FIR) lattice filters + * for Q15, Q31 and floating-point data types. Lattice filters are used in a + * variety of adaptive filter applications. The filter structure is feedforward and + * the net impulse response is finite length. + * The functions operate on blocks + * of input and output data and each call to the function processes + * blockSize samples through the filter. pSrc and + * pDst point to input and output arrays containing blockSize values. + * + * \par Algorithm: + * \image html FIRLattice.gif "Finite Impulse Response Lattice filter" + * The following difference equation is implemented: + *
+ *    f0[n] = g0[n] = x[n]
+ *    fm[n] = fm-1[n] + km * gm-1[n-1] for m = 1, 2, ...M
+ *    gm[n] = km * fm-1[n] + gm-1[n-1] for m = 1, 2, ...M
+ *    y[n] = fM[n]
+ * 
+ * \par + * pCoeffs points to tha array of reflection coefficients of size numStages. + * Reflection Coefficients are stored in the following order. + * \par + *
+ *    {k1, k2, ..., kM}
+ * 
+ * where M is number of stages + * \par + * pState points to a state array of size numStages. + * The state variables (g values) hold previous inputs and are stored in the following order. + *
+ *    {g0[n], g1[n], g2[n] ...gM-1[n]}
+ * 
+ * The state variables are updated after each block of data is processed; the coefficients are untouched. + * \par Instance Structure + * The coefficients and state variables for a filter are stored together in an instance data structure. + * A separate instance structure must be defined for each filter. + * Coefficient arrays may be shared among several instances while state variable arrays cannot be shared. + * There are separate instance structure declarations for each of the 3 supported data types. + * + * \par Initialization Functions + * There is also an associated initialization function for each data type. + * The initialization function performs the following operations: + * - Sets the values of the internal structure fields. + * - Zeros out the values in the state buffer. + * To do this manually without calling the init function, assign the follow subfields of the instance structure: + * numStages, pCoeffs, pState. Also set all of the values in pState to zero. + * + * \par + * Use of the initialization function is optional. + * However, if the initialization function is used, then the instance structure cannot be placed into a const data section. + * To place an instance structure into a const data section, the instance structure must be manually initialized. + * Set the values in the state buffer to zeros and then manually initialize the instance structure as follows: + *
+ *arm_fir_lattice_instance_f32 S = {numStages, pState, pCoeffs};
+ *arm_fir_lattice_instance_q31 S = {numStages, pState, pCoeffs};
+ *arm_fir_lattice_instance_q15 S = {numStages, pState, pCoeffs};
+ * 
+ * \par + * where numStages is the number of stages in the filter; pState is the address of the state buffer; + * pCoeffs is the address of the coefficient buffer. + * \par Fixed-Point Behavior + * Care must be taken when using the fixed-point versions of the FIR Lattice filter functions. + * In particular, the overflow and saturation behavior of the accumulator used in each function must be considered. + * Refer to the function specific documentation below for usage guidelines. + */ + +/** + * @addtogroup FIR_Lattice + * @{ + */ + + + /** + * @brief Processing function for the floating-point FIR lattice filter. + * @param[in] *S points to an instance of the floating-point FIR lattice structure. + * @param[in] *pSrc points to the block of input data. + * @param[out] *pDst points to the block of output data + * @param[in] blockSize number of samples to process. + * @return none. + */ + +void arm_fir_lattice_f32( + const arm_fir_lattice_instance_f32 * S, + float32_t * pSrc, + float32_t * pDst, + uint32_t blockSize) +{ + float32_t *pState; /* State pointer */ + float32_t *pCoeffs = S->pCoeffs; /* Coefficient pointer */ + float32_t *px; /* temporary state pointer */ + float32_t *pk; /* temporary coefficient pointer */ + + +#if defined (ARM_MATH_DSP) + + /* Run the below code for Cortex-M4 and Cortex-M3 */ + + float32_t fcurr1, fnext1, gcurr1, gnext1; /* temporary variables for first sample in loop unrolling */ + float32_t fcurr2, fnext2, gnext2; /* temporary variables for second sample in loop unrolling */ + float32_t fcurr3, fnext3, gnext3; /* temporary variables for third sample in loop unrolling */ + float32_t fcurr4, fnext4, gnext4; /* temporary variables for fourth sample in loop unrolling */ + uint32_t numStages = S->numStages; /* Number of stages in the filter */ + uint32_t blkCnt, stageCnt; /* temporary variables for counts */ + + gcurr1 = 0.0f; + pState = &S->pState[0]; + + blkCnt = blockSize >> 2; + + /* First part of the processing with loop unrolling. Compute 4 outputs at a time. + a second loop below computes the remaining 1 to 3 samples. */ + while (blkCnt > 0U) + { + + /* Read two samples from input buffer */ + /* f0(n) = x(n) */ + fcurr1 = *pSrc++; + fcurr2 = *pSrc++; + + /* Initialize coeff pointer */ + pk = (pCoeffs); + + /* Initialize state pointer */ + px = pState; + + /* Read g0(n-1) from state */ + gcurr1 = *px; + + /* Process first sample for first tap */ + /* f1(n) = f0(n) + K1 * g0(n-1) */ + fnext1 = fcurr1 + ((*pk) * gcurr1); + /* g1(n) = f0(n) * K1 + g0(n-1) */ + gnext1 = (fcurr1 * (*pk)) + gcurr1; + + /* Process second sample for first tap */ + /* for sample 2 processing */ + fnext2 = fcurr2 + ((*pk) * fcurr1); + gnext2 = (fcurr2 * (*pk)) + fcurr1; + + /* Read next two samples from input buffer */ + /* f0(n+2) = x(n+2) */ + fcurr3 = *pSrc++; + fcurr4 = *pSrc++; + + /* Copy only last input samples into the state buffer + which will be used for next four samples processing */ + *px++ = fcurr4; + + /* Process third sample for first tap */ + fnext3 = fcurr3 + ((*pk) * fcurr2); + gnext3 = (fcurr3 * (*pk)) + fcurr2; + + /* Process fourth sample for first tap */ + fnext4 = fcurr4 + ((*pk) * fcurr3); + gnext4 = (fcurr4 * (*pk++)) + fcurr3; + + /* Update of f values for next coefficient set processing */ + fcurr1 = fnext1; + fcurr2 = fnext2; + fcurr3 = fnext3; + fcurr4 = fnext4; + + /* Loop unrolling. Process 4 taps at a time . */ + stageCnt = (numStages - 1U) >> 2U; + + /* Loop over the number of taps. Unroll by a factor of 4. + ** Repeat until we've computed numStages-3 coefficients. */ + + /* Process 2nd, 3rd, 4th and 5th taps ... here */ + while (stageCnt > 0U) + { + /* Read g1(n-1), g3(n-1) .... from state */ + gcurr1 = *px; + + /* save g1(n) in state buffer */ + *px++ = gnext4; + + /* Process first sample for 2nd, 6th .. tap */ + /* Sample processing for K2, K6.... */ + /* f2(n) = f1(n) + K2 * g1(n-1) */ + fnext1 = fcurr1 + ((*pk) * gcurr1); + /* Process second sample for 2nd, 6th .. tap */ + /* for sample 2 processing */ + fnext2 = fcurr2 + ((*pk) * gnext1); + /* Process third sample for 2nd, 6th .. tap */ + fnext3 = fcurr3 + ((*pk) * gnext2); + /* Process fourth sample for 2nd, 6th .. tap */ + fnext4 = fcurr4 + ((*pk) * gnext3); + + /* g2(n) = f1(n) * K2 + g1(n-1) */ + /* Calculation of state values for next stage */ + gnext4 = (fcurr4 * (*pk)) + gnext3; + gnext3 = (fcurr3 * (*pk)) + gnext2; + gnext2 = (fcurr2 * (*pk)) + gnext1; + gnext1 = (fcurr1 * (*pk++)) + gcurr1; + + + /* Read g2(n-1), g4(n-1) .... from state */ + gcurr1 = *px; + + /* save g2(n) in state buffer */ + *px++ = gnext4; + + /* Sample processing for K3, K7.... */ + /* Process first sample for 3rd, 7th .. tap */ + /* f3(n) = f2(n) + K3 * g2(n-1) */ + fcurr1 = fnext1 + ((*pk) * gcurr1); + /* Process second sample for 3rd, 7th .. tap */ + fcurr2 = fnext2 + ((*pk) * gnext1); + /* Process third sample for 3rd, 7th .. tap */ + fcurr3 = fnext3 + ((*pk) * gnext2); + /* Process fourth sample for 3rd, 7th .. tap */ + fcurr4 = fnext4 + ((*pk) * gnext3); + + /* Calculation of state values for next stage */ + /* g3(n) = f2(n) * K3 + g2(n-1) */ + gnext4 = (fnext4 * (*pk)) + gnext3; + gnext3 = (fnext3 * (*pk)) + gnext2; + gnext2 = (fnext2 * (*pk)) + gnext1; + gnext1 = (fnext1 * (*pk++)) + gcurr1; + + + /* Read g1(n-1), g3(n-1) .... from state */ + gcurr1 = *px; + + /* save g3(n) in state buffer */ + *px++ = gnext4; + + /* Sample processing for K4, K8.... */ + /* Process first sample for 4th, 8th .. tap */ + /* f4(n) = f3(n) + K4 * g3(n-1) */ + fnext1 = fcurr1 + ((*pk) * gcurr1); + /* Process second sample for 4th, 8th .. tap */ + /* for sample 2 processing */ + fnext2 = fcurr2 + ((*pk) * gnext1); + /* Process third sample for 4th, 8th .. tap */ + fnext3 = fcurr3 + ((*pk) * gnext2); + /* Process fourth sample for 4th, 8th .. tap */ + fnext4 = fcurr4 + ((*pk) * gnext3); + + /* g4(n) = f3(n) * K4 + g3(n-1) */ + /* Calculation of state values for next stage */ + gnext4 = (fcurr4 * (*pk)) + gnext3; + gnext3 = (fcurr3 * (*pk)) + gnext2; + gnext2 = (fcurr2 * (*pk)) + gnext1; + gnext1 = (fcurr1 * (*pk++)) + gcurr1; + + /* Read g2(n-1), g4(n-1) .... from state */ + gcurr1 = *px; + + /* save g4(n) in state buffer */ + *px++ = gnext4; + + /* Sample processing for K5, K9.... */ + /* Process first sample for 5th, 9th .. tap */ + /* f5(n) = f4(n) + K5 * g4(n-1) */ + fcurr1 = fnext1 + ((*pk) * gcurr1); + /* Process second sample for 5th, 9th .. tap */ + fcurr2 = fnext2 + ((*pk) * gnext1); + /* Process third sample for 5th, 9th .. tap */ + fcurr3 = fnext3 + ((*pk) * gnext2); + /* Process fourth sample for 5th, 9th .. tap */ + fcurr4 = fnext4 + ((*pk) * gnext3); + + /* Calculation of state values for next stage */ + /* g5(n) = f4(n) * K5 + g4(n-1) */ + gnext4 = (fnext4 * (*pk)) + gnext3; + gnext3 = (fnext3 * (*pk)) + gnext2; + gnext2 = (fnext2 * (*pk)) + gnext1; + gnext1 = (fnext1 * (*pk++)) + gcurr1; + + stageCnt--; + } + + /* If the (filter length -1) is not a multiple of 4, compute the remaining filter taps */ + stageCnt = (numStages - 1U) % 0x4U; + + while (stageCnt > 0U) + { + gcurr1 = *px; + + /* save g value in state buffer */ + *px++ = gnext4; + + /* Process four samples for last three taps here */ + fnext1 = fcurr1 + ((*pk) * gcurr1); + fnext2 = fcurr2 + ((*pk) * gnext1); + fnext3 = fcurr3 + ((*pk) * gnext2); + fnext4 = fcurr4 + ((*pk) * gnext3); + + /* g1(n) = f0(n) * K1 + g0(n-1) */ + gnext4 = (fcurr4 * (*pk)) + gnext3; + gnext3 = (fcurr3 * (*pk)) + gnext2; + gnext2 = (fcurr2 * (*pk)) + gnext1; + gnext1 = (fcurr1 * (*pk++)) + gcurr1; + + /* Update of f values for next coefficient set processing */ + fcurr1 = fnext1; + fcurr2 = fnext2; + fcurr3 = fnext3; + fcurr4 = fnext4; + + stageCnt--; + + } + + /* The results in the 4 accumulators, store in the destination buffer. */ + /* y(n) = fN(n) */ + *pDst++ = fcurr1; + *pDst++ = fcurr2; + *pDst++ = fcurr3; + *pDst++ = fcurr4; + + blkCnt--; + } + + /* If the blockSize is not a multiple of 4, compute any remaining output samples here. + ** No loop unrolling is used. */ + blkCnt = blockSize % 0x4U; + + while (blkCnt > 0U) + { + /* f0(n) = x(n) */ + fcurr1 = *pSrc++; + + /* Initialize coeff pointer */ + pk = (pCoeffs); + + /* Initialize state pointer */ + px = pState; + + /* read g2(n) from state buffer */ + gcurr1 = *px; + + /* for sample 1 processing */ + /* f1(n) = f0(n) + K1 * g0(n-1) */ + fnext1 = fcurr1 + ((*pk) * gcurr1); + /* g1(n) = f0(n) * K1 + g0(n-1) */ + gnext1 = (fcurr1 * (*pk++)) + gcurr1; + + /* save g1(n) in state buffer */ + *px++ = fcurr1; + + /* f1(n) is saved in fcurr1 + for next stage processing */ + fcurr1 = fnext1; + + stageCnt = (numStages - 1U); + + /* stage loop */ + while (stageCnt > 0U) + { + /* read g2(n) from state buffer */ + gcurr1 = *px; + + /* save g1(n) in state buffer */ + *px++ = gnext1; + + /* Sample processing for K2, K3.... */ + /* f2(n) = f1(n) + K2 * g1(n-1) */ + fnext1 = fcurr1 + ((*pk) * gcurr1); + /* g2(n) = f1(n) * K2 + g1(n-1) */ + gnext1 = (fcurr1 * (*pk++)) + gcurr1; + + /* f1(n) is saved in fcurr1 + for next stage processing */ + fcurr1 = fnext1; + + stageCnt--; + + } + + /* y(n) = fN(n) */ + *pDst++ = fcurr1; + + blkCnt--; + + } + +#else + + /* Run the below code for Cortex-M0 */ + + float32_t fcurr, fnext, gcurr, gnext; /* temporary variables */ + uint32_t numStages = S->numStages; /* Length of the filter */ + uint32_t blkCnt, stageCnt; /* temporary variables for counts */ + + pState = &S->pState[0]; + + blkCnt = blockSize; + + while (blkCnt > 0U) + { + /* f0(n) = x(n) */ + fcurr = *pSrc++; + + /* Initialize coeff pointer */ + pk = pCoeffs; + + /* Initialize state pointer */ + px = pState; + + /* read g0(n-1) from state buffer */ + gcurr = *px; + + /* for sample 1 processing */ + /* f1(n) = f0(n) + K1 * g0(n-1) */ + fnext = fcurr + ((*pk) * gcurr); + /* g1(n) = f0(n) * K1 + g0(n-1) */ + gnext = (fcurr * (*pk++)) + gcurr; + + /* save f0(n) in state buffer */ + *px++ = fcurr; + + /* f1(n) is saved in fcurr + for next stage processing */ + fcurr = fnext; + + stageCnt = (numStages - 1U); + + /* stage loop */ + while (stageCnt > 0U) + { + /* read g2(n) from state buffer */ + gcurr = *px; + + /* save g1(n) in state buffer */ + *px++ = gnext; + + /* Sample processing for K2, K3.... */ + /* f2(n) = f1(n) + K2 * g1(n-1) */ + fnext = fcurr + ((*pk) * gcurr); + /* g2(n) = f1(n) * K2 + g1(n-1) */ + gnext = (fcurr * (*pk++)) + gcurr; + + /* f1(n) is saved in fcurr1 + for next stage processing */ + fcurr = fnext; + + stageCnt--; + + } + + /* y(n) = fN(n) */ + *pDst++ = fcurr; + + blkCnt--; + + } + +#endif /* #if defined (ARM_MATH_DSP) */ + +} + +/** + * @} end of FIR_Lattice group + */ diff --git a/fw/hid-dials/Drivers/CMSIS/DSP/Source/FilteringFunctions/arm_fir_lattice_init_f32.c b/fw/hid-dials/Drivers/CMSIS/DSP/Source/FilteringFunctions/arm_fir_lattice_init_f32.c new file mode 100644 index 0000000..55520eb --- /dev/null +++ b/fw/hid-dials/Drivers/CMSIS/DSP/Source/FilteringFunctions/arm_fir_lattice_init_f32.c @@ -0,0 +1,71 @@ +/* ---------------------------------------------------------------------- + * Project: CMSIS DSP Library + * Title: arm_fir_lattice_init_f32.c + * Description: Floating-point FIR Lattice filter initialization function + * + * $Date: 27. January 2017 + * $Revision: V.1.5.1 + * + * Target Processor: Cortex-M cores + * -------------------------------------------------------------------- */ +/* + * Copyright (C) 2010-2017 ARM Limited or its affiliates. All rights reserved. + * + * SPDX-License-Identifier: Apache-2.0 + * + * Licensed under the Apache License, Version 2.0 (the License); you may + * not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an AS IS BASIS, WITHOUT + * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ + +#include "arm_math.h" + +/** + * @ingroup groupFilters + */ + +/** + * @addtogroup FIR_Lattice + * @{ + */ + +/** + * @brief Initialization function for the floating-point FIR lattice filter. + * @param[in] *S points to an instance of the floating-point FIR lattice structure. + * @param[in] numStages number of filter stages. + * @param[in] *pCoeffs points to the coefficient buffer. The array is of length numStages. + * @param[in] *pState points to the state buffer. The array is of length numStages. + * @return none. + */ + +void arm_fir_lattice_init_f32( + arm_fir_lattice_instance_f32 * S, + uint16_t numStages, + float32_t * pCoeffs, + float32_t * pState) +{ + /* Assign filter taps */ + S->numStages = numStages; + + /* Assign coefficient pointer */ + S->pCoeffs = pCoeffs; + + /* Clear state buffer and size is always numStages */ + memset(pState, 0, (numStages) * sizeof(float32_t)); + + /* Assign state pointer */ + S->pState = pState; + +} + +/** + * @} end of FIR_Lattice group + */ diff --git a/fw/hid-dials/Drivers/CMSIS/DSP/Source/FilteringFunctions/arm_fir_lattice_init_q15.c b/fw/hid-dials/Drivers/CMSIS/DSP/Source/FilteringFunctions/arm_fir_lattice_init_q15.c new file mode 100644 index 0000000..59cf496 --- /dev/null +++ b/fw/hid-dials/Drivers/CMSIS/DSP/Source/FilteringFunctions/arm_fir_lattice_init_q15.c @@ -0,0 +1,71 @@ +/* ---------------------------------------------------------------------- + * Project: CMSIS DSP Library + * Title: arm_fir_lattice_init_q15.c + * Description: Q15 FIR Lattice filter initialization function + * + * $Date: 27. January 2017 + * $Revision: V.1.5.1 + * + * Target Processor: Cortex-M cores + * -------------------------------------------------------------------- */ +/* + * Copyright (C) 2010-2017 ARM Limited or its affiliates. All rights reserved. + * + * SPDX-License-Identifier: Apache-2.0 + * + * Licensed under the Apache License, Version 2.0 (the License); you may + * not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an AS IS BASIS, WITHOUT + * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ + +#include "arm_math.h" + +/** + * @ingroup groupFilters + */ + +/** + * @addtogroup FIR_Lattice + * @{ + */ + + /** + * @brief Initialization function for the Q15 FIR lattice filter. + * @param[in] *S points to an instance of the Q15 FIR lattice structure. + * @param[in] numStages number of filter stages. + * @param[in] *pCoeffs points to the coefficient buffer. The array is of length numStages. + * @param[in] *pState points to the state buffer. The array is of length numStages. + * @return none. + */ + +void arm_fir_lattice_init_q15( + arm_fir_lattice_instance_q15 * S, + uint16_t numStages, + q15_t * pCoeffs, + q15_t * pState) +{ + /* Assign filter taps */ + S->numStages = numStages; + + /* Assign coefficient pointer */ + S->pCoeffs = pCoeffs; + + /* Clear state buffer and size is always numStages */ + memset(pState, 0, (numStages) * sizeof(q15_t)); + + /* Assign state pointer */ + S->pState = pState; + +} + +/** + * @} end of FIR_Lattice group + */ diff --git a/fw/hid-dials/Drivers/CMSIS/DSP/Source/FilteringFunctions/arm_fir_lattice_init_q31.c b/fw/hid-dials/Drivers/CMSIS/DSP/Source/FilteringFunctions/arm_fir_lattice_init_q31.c new file mode 100644 index 0000000..abdd76f --- /dev/null +++ b/fw/hid-dials/Drivers/CMSIS/DSP/Source/FilteringFunctions/arm_fir_lattice_init_q31.c @@ -0,0 +1,71 @@ +/* ---------------------------------------------------------------------- + * Project: CMSIS DSP Library + * Title: arm_fir_lattice_init_q31.c + * Description: Q31 FIR lattice filter initialization function + * + * $Date: 27. January 2017 + * $Revision: V.1.5.1 + * + * Target Processor: Cortex-M cores + * -------------------------------------------------------------------- */ +/* + * Copyright (C) 2010-2017 ARM Limited or its affiliates. All rights reserved. + * + * SPDX-License-Identifier: Apache-2.0 + * + * Licensed under the Apache License, Version 2.0 (the License); you may + * not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an AS IS BASIS, WITHOUT + * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ + +#include "arm_math.h" + +/** + * @ingroup groupFilters + */ + +/** + * @addtogroup FIR_Lattice + * @{ + */ + + /** + * @brief Initialization function for the Q31 FIR lattice filter. + * @param[in] *S points to an instance of the Q31 FIR lattice structure. + * @param[in] numStages number of filter stages. + * @param[in] *pCoeffs points to the coefficient buffer. The array is of length numStages. + * @param[in] *pState points to the state buffer. The array is of length numStages. + * @return none. + */ + +void arm_fir_lattice_init_q31( + arm_fir_lattice_instance_q31 * S, + uint16_t numStages, + q31_t * pCoeffs, + q31_t * pState) +{ + /* Assign filter taps */ + S->numStages = numStages; + + /* Assign coefficient pointer */ + S->pCoeffs = pCoeffs; + + /* Clear state buffer and size is always numStages */ + memset(pState, 0, (numStages) * sizeof(q31_t)); + + /* Assign state pointer */ + S->pState = pState; + +} + +/** + * @} end of FIR_Lattice group + */ diff --git a/fw/hid-dials/Drivers/CMSIS/DSP/Source/FilteringFunctions/arm_fir_lattice_q15.c b/fw/hid-dials/Drivers/CMSIS/DSP/Source/FilteringFunctions/arm_fir_lattice_q15.c new file mode 100644 index 0000000..fb95ab6 --- /dev/null +++ b/fw/hid-dials/Drivers/CMSIS/DSP/Source/FilteringFunctions/arm_fir_lattice_q15.c @@ -0,0 +1,524 @@ +/* ---------------------------------------------------------------------- + * Project: CMSIS DSP Library + * Title: arm_fir_lattice_q15.c + * Description: Q15 FIR lattice filter processing function + * + * $Date: 27. January 2017 + * $Revision: V.1.5.1 + * + * Target Processor: Cortex-M cores + * -------------------------------------------------------------------- */ +/* + * Copyright (C) 2010-2017 ARM Limited or its affiliates. All rights reserved. + * + * SPDX-License-Identifier: Apache-2.0 + * + * Licensed under the Apache License, Version 2.0 (the License); you may + * not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an AS IS BASIS, WITHOUT + * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ + +#include "arm_math.h" + +/** + * @ingroup groupFilters + */ + +/** + * @addtogroup FIR_Lattice + * @{ + */ + + +/** + * @brief Processing function for the Q15 FIR lattice filter. + * @param[in] *S points to an instance of the Q15 FIR lattice structure. + * @param[in] *pSrc points to the block of input data. + * @param[out] *pDst points to the block of output data + * @param[in] blockSize number of samples to process. + * @return none. + */ + +void arm_fir_lattice_q15( + const arm_fir_lattice_instance_q15 * S, + q15_t * pSrc, + q15_t * pDst, + uint32_t blockSize) +{ + q15_t *pState; /* State pointer */ + q15_t *pCoeffs = S->pCoeffs; /* Coefficient pointer */ + q15_t *px; /* temporary state pointer */ + q15_t *pk; /* temporary coefficient pointer */ + + +#if defined (ARM_MATH_DSP) + + /* Run the below code for Cortex-M4 and Cortex-M3 */ + + q31_t fcurnt1, fnext1, gcurnt1 = 0, gnext1; /* temporary variables for first sample in loop unrolling */ + q31_t fcurnt2, fnext2, gnext2; /* temporary variables for second sample in loop unrolling */ + q31_t fcurnt3, fnext3, gnext3; /* temporary variables for third sample in loop unrolling */ + q31_t fcurnt4, fnext4, gnext4; /* temporary variables for fourth sample in loop unrolling */ + uint32_t numStages = S->numStages; /* Number of stages in the filter */ + uint32_t blkCnt, stageCnt; /* temporary variables for counts */ + + pState = &S->pState[0]; + + blkCnt = blockSize >> 2U; + + /* First part of the processing with loop unrolling. Compute 4 outputs at a time. + ** a second loop below computes the remaining 1 to 3 samples. */ + while (blkCnt > 0U) + { + + /* Read two samples from input buffer */ + /* f0(n) = x(n) */ + fcurnt1 = *pSrc++; + fcurnt2 = *pSrc++; + + /* Initialize coeff pointer */ + pk = (pCoeffs); + + /* Initialize state pointer */ + px = pState; + + /* Read g0(n-1) from state */ + gcurnt1 = *px; + + /* Process first sample for first tap */ + /* f1(n) = f0(n) + K1 * g0(n-1) */ + fnext1 = (q31_t) ((gcurnt1 * (*pk)) >> 15U) + fcurnt1; + fnext1 = __SSAT(fnext1, 16); + + /* g1(n) = f0(n) * K1 + g0(n-1) */ + gnext1 = (q31_t) ((fcurnt1 * (*pk)) >> 15U) + gcurnt1; + gnext1 = __SSAT(gnext1, 16); + + /* Process second sample for first tap */ + /* for sample 2 processing */ + fnext2 = (q31_t) ((fcurnt1 * (*pk)) >> 15U) + fcurnt2; + fnext2 = __SSAT(fnext2, 16); + + gnext2 = (q31_t) ((fcurnt2 * (*pk)) >> 15U) + fcurnt1; + gnext2 = __SSAT(gnext2, 16); + + + /* Read next two samples from input buffer */ + /* f0(n+2) = x(n+2) */ + fcurnt3 = *pSrc++; + fcurnt4 = *pSrc++; + + /* Copy only last input samples into the state buffer + which is used for next four samples processing */ + *px++ = (q15_t) fcurnt4; + + /* Process third sample for first tap */ + fnext3 = (q31_t) ((fcurnt2 * (*pk)) >> 15U) + fcurnt3; + fnext3 = __SSAT(fnext3, 16); + gnext3 = (q31_t) ((fcurnt3 * (*pk)) >> 15U) + fcurnt2; + gnext3 = __SSAT(gnext3, 16); + + /* Process fourth sample for first tap */ + fnext4 = (q31_t) ((fcurnt3 * (*pk)) >> 15U) + fcurnt4; + fnext4 = __SSAT(fnext4, 16); + gnext4 = (q31_t) ((fcurnt4 * (*pk++)) >> 15U) + fcurnt3; + gnext4 = __SSAT(gnext4, 16); + + /* Update of f values for next coefficient set processing */ + fcurnt1 = fnext1; + fcurnt2 = fnext2; + fcurnt3 = fnext3; + fcurnt4 = fnext4; + + + /* Loop unrolling. Process 4 taps at a time . */ + stageCnt = (numStages - 1U) >> 2; + + + /* Loop over the number of taps. Unroll by a factor of 4. + ** Repeat until we've computed numStages-3 coefficients. */ + + /* Process 2nd, 3rd, 4th and 5th taps ... here */ + while (stageCnt > 0U) + { + /* Read g1(n-1), g3(n-1) .... from state */ + gcurnt1 = *px; + + /* save g1(n) in state buffer */ + *px++ = (q15_t) gnext4; + + /* Process first sample for 2nd, 6th .. tap */ + /* Sample processing for K2, K6.... */ + /* f1(n) = f0(n) + K1 * g0(n-1) */ + fnext1 = (q31_t) ((gcurnt1 * (*pk)) >> 15U) + fcurnt1; + fnext1 = __SSAT(fnext1, 16); + + + /* Process second sample for 2nd, 6th .. tap */ + /* for sample 2 processing */ + fnext2 = (q31_t) ((gnext1 * (*pk)) >> 15U) + fcurnt2; + fnext2 = __SSAT(fnext2, 16); + /* Process third sample for 2nd, 6th .. tap */ + fnext3 = (q31_t) ((gnext2 * (*pk)) >> 15U) + fcurnt3; + fnext3 = __SSAT(fnext3, 16); + /* Process fourth sample for 2nd, 6th .. tap */ + /* fnext4 = fcurnt4 + (*pk) * gnext3; */ + fnext4 = (q31_t) ((gnext3 * (*pk)) >> 15U) + fcurnt4; + fnext4 = __SSAT(fnext4, 16); + + /* g1(n) = f0(n) * K1 + g0(n-1) */ + /* Calculation of state values for next stage */ + gnext4 = (q31_t) ((fcurnt4 * (*pk)) >> 15U) + gnext3; + gnext4 = __SSAT(gnext4, 16); + gnext3 = (q31_t) ((fcurnt3 * (*pk)) >> 15U) + gnext2; + gnext3 = __SSAT(gnext3, 16); + + gnext2 = (q31_t) ((fcurnt2 * (*pk)) >> 15U) + gnext1; + gnext2 = __SSAT(gnext2, 16); + + gnext1 = (q31_t) ((fcurnt1 * (*pk++)) >> 15U) + gcurnt1; + gnext1 = __SSAT(gnext1, 16); + + + /* Read g2(n-1), g4(n-1) .... from state */ + gcurnt1 = *px; + + /* save g1(n) in state buffer */ + *px++ = (q15_t) gnext4; + + /* Sample processing for K3, K7.... */ + /* Process first sample for 3rd, 7th .. tap */ + /* f3(n) = f2(n) + K3 * g2(n-1) */ + fcurnt1 = (q31_t) ((gcurnt1 * (*pk)) >> 15U) + fnext1; + fcurnt1 = __SSAT(fcurnt1, 16); + + /* Process second sample for 3rd, 7th .. tap */ + fcurnt2 = (q31_t) ((gnext1 * (*pk)) >> 15U) + fnext2; + fcurnt2 = __SSAT(fcurnt2, 16); + + /* Process third sample for 3rd, 7th .. tap */ + fcurnt3 = (q31_t) ((gnext2 * (*pk)) >> 15U) + fnext3; + fcurnt3 = __SSAT(fcurnt3, 16); + + /* Process fourth sample for 3rd, 7th .. tap */ + fcurnt4 = (q31_t) ((gnext3 * (*pk)) >> 15U) + fnext4; + fcurnt4 = __SSAT(fcurnt4, 16); + + /* Calculation of state values for next stage */ + /* g3(n) = f2(n) * K3 + g2(n-1) */ + gnext4 = (q31_t) ((fnext4 * (*pk)) >> 15U) + gnext3; + gnext4 = __SSAT(gnext4, 16); + + gnext3 = (q31_t) ((fnext3 * (*pk)) >> 15U) + gnext2; + gnext3 = __SSAT(gnext3, 16); + + gnext2 = (q31_t) ((fnext2 * (*pk)) >> 15U) + gnext1; + gnext2 = __SSAT(gnext2, 16); + + gnext1 = (q31_t) ((fnext1 * (*pk++)) >> 15U) + gcurnt1; + gnext1 = __SSAT(gnext1, 16); + + /* Read g1(n-1), g3(n-1) .... from state */ + gcurnt1 = *px; + + /* save g1(n) in state buffer */ + *px++ = (q15_t) gnext4; + + /* Sample processing for K4, K8.... */ + /* Process first sample for 4th, 8th .. tap */ + /* f4(n) = f3(n) + K4 * g3(n-1) */ + fnext1 = (q31_t) ((gcurnt1 * (*pk)) >> 15U) + fcurnt1; + fnext1 = __SSAT(fnext1, 16); + + /* Process second sample for 4th, 8th .. tap */ + /* for sample 2 processing */ + fnext2 = (q31_t) ((gnext1 * (*pk)) >> 15U) + fcurnt2; + fnext2 = __SSAT(fnext2, 16); + + /* Process third sample for 4th, 8th .. tap */ + fnext3 = (q31_t) ((gnext2 * (*pk)) >> 15U) + fcurnt3; + fnext3 = __SSAT(fnext3, 16); + + /* Process fourth sample for 4th, 8th .. tap */ + fnext4 = (q31_t) ((gnext3 * (*pk)) >> 15U) + fcurnt4; + fnext4 = __SSAT(fnext4, 16); + + /* g4(n) = f3(n) * K4 + g3(n-1) */ + /* Calculation of state values for next stage */ + gnext4 = (q31_t) ((fcurnt4 * (*pk)) >> 15U) + gnext3; + gnext4 = __SSAT(gnext4, 16); + + gnext3 = (q31_t) ((fcurnt3 * (*pk)) >> 15U) + gnext2; + gnext3 = __SSAT(gnext3, 16); + + gnext2 = (q31_t) ((fcurnt2 * (*pk)) >> 15U) + gnext1; + gnext2 = __SSAT(gnext2, 16); + gnext1 = (q31_t) ((fcurnt1 * (*pk++)) >> 15U) + gcurnt1; + gnext1 = __SSAT(gnext1, 16); + + + /* Read g2(n-1), g4(n-1) .... from state */ + gcurnt1 = *px; + + /* save g4(n) in state buffer */ + *px++ = (q15_t) gnext4; + + /* Sample processing for K5, K9.... */ + /* Process first sample for 5th, 9th .. tap */ + /* f5(n) = f4(n) + K5 * g4(n-1) */ + fcurnt1 = (q31_t) ((gcurnt1 * (*pk)) >> 15U) + fnext1; + fcurnt1 = __SSAT(fcurnt1, 16); + + /* Process second sample for 5th, 9th .. tap */ + fcurnt2 = (q31_t) ((gnext1 * (*pk)) >> 15U) + fnext2; + fcurnt2 = __SSAT(fcurnt2, 16); + + /* Process third sample for 5th, 9th .. tap */ + fcurnt3 = (q31_t) ((gnext2 * (*pk)) >> 15U) + fnext3; + fcurnt3 = __SSAT(fcurnt3, 16); + + /* Process fourth sample for 5th, 9th .. tap */ + fcurnt4 = (q31_t) ((gnext3 * (*pk)) >> 15U) + fnext4; + fcurnt4 = __SSAT(fcurnt4, 16); + + /* Calculation of state values for next stage */ + /* g5(n) = f4(n) * K5 + g4(n-1) */ + gnext4 = (q31_t) ((fnext4 * (*pk)) >> 15U) + gnext3; + gnext4 = __SSAT(gnext4, 16); + gnext3 = (q31_t) ((fnext3 * (*pk)) >> 15U) + gnext2; + gnext3 = __SSAT(gnext3, 16); + gnext2 = (q31_t) ((fnext2 * (*pk)) >> 15U) + gnext1; + gnext2 = __SSAT(gnext2, 16); + gnext1 = (q31_t) ((fnext1 * (*pk++)) >> 15U) + gcurnt1; + gnext1 = __SSAT(gnext1, 16); + + stageCnt--; + } + + /* If the (filter length -1) is not a multiple of 4, compute the remaining filter taps */ + stageCnt = (numStages - 1U) % 0x4U; + + while (stageCnt > 0U) + { + gcurnt1 = *px; + + /* save g value in state buffer */ + *px++ = (q15_t) gnext4; + + /* Process four samples for last three taps here */ + fnext1 = (q31_t) ((gcurnt1 * (*pk)) >> 15U) + fcurnt1; + fnext1 = __SSAT(fnext1, 16); + fnext2 = (q31_t) ((gnext1 * (*pk)) >> 15U) + fcurnt2; + fnext2 = __SSAT(fnext2, 16); + + fnext3 = (q31_t) ((gnext2 * (*pk)) >> 15U) + fcurnt3; + fnext3 = __SSAT(fnext3, 16); + + fnext4 = (q31_t) ((gnext3 * (*pk)) >> 15U) + fcurnt4; + fnext4 = __SSAT(fnext4, 16); + + /* g1(n) = f0(n) * K1 + g0(n-1) */ + gnext4 = (q31_t) ((fcurnt4 * (*pk)) >> 15U) + gnext3; + gnext4 = __SSAT(gnext4, 16); + gnext3 = (q31_t) ((fcurnt3 * (*pk)) >> 15U) + gnext2; + gnext3 = __SSAT(gnext3, 16); + gnext2 = (q31_t) ((fcurnt2 * (*pk)) >> 15U) + gnext1; + gnext2 = __SSAT(gnext2, 16); + gnext1 = (q31_t) ((fcurnt1 * (*pk++)) >> 15U) + gcurnt1; + gnext1 = __SSAT(gnext1, 16); + + /* Update of f values for next coefficient set processing */ + fcurnt1 = fnext1; + fcurnt2 = fnext2; + fcurnt3 = fnext3; + fcurnt4 = fnext4; + + stageCnt--; + + } + + /* The results in the 4 accumulators, store in the destination buffer. */ + /* y(n) = fN(n) */ + +#ifndef ARM_MATH_BIG_ENDIAN + + *__SIMD32(pDst)++ = __PKHBT(fcurnt1, fcurnt2, 16); + *__SIMD32(pDst)++ = __PKHBT(fcurnt3, fcurnt4, 16); + +#else + + *__SIMD32(pDst)++ = __PKHBT(fcurnt2, fcurnt1, 16); + *__SIMD32(pDst)++ = __PKHBT(fcurnt4, fcurnt3, 16); + +#endif /* #ifndef ARM_MATH_BIG_ENDIAN */ + + blkCnt--; + } + + /* If the blockSize is not a multiple of 4, compute any remaining output samples here. + ** No loop unrolling is used. */ + blkCnt = blockSize % 0x4U; + + while (blkCnt > 0U) + { + /* f0(n) = x(n) */ + fcurnt1 = *pSrc++; + + /* Initialize coeff pointer */ + pk = (pCoeffs); + + /* Initialize state pointer */ + px = pState; + + /* read g2(n) from state buffer */ + gcurnt1 = *px; + + /* for sample 1 processing */ + /* f1(n) = f0(n) + K1 * g0(n-1) */ + fnext1 = (((q31_t) gcurnt1 * (*pk)) >> 15U) + fcurnt1; + fnext1 = __SSAT(fnext1, 16); + + + /* g1(n) = f0(n) * K1 + g0(n-1) */ + gnext1 = (((q31_t) fcurnt1 * (*pk++)) >> 15U) + gcurnt1; + gnext1 = __SSAT(gnext1, 16); + + /* save g1(n) in state buffer */ + *px++ = (q15_t) fcurnt1; + + /* f1(n) is saved in fcurnt1 + for next stage processing */ + fcurnt1 = fnext1; + + stageCnt = (numStages - 1U); + + /* stage loop */ + while (stageCnt > 0U) + { + /* read g2(n) from state buffer */ + gcurnt1 = *px; + + /* save g1(n) in state buffer */ + *px++ = (q15_t) gnext1; + + /* Sample processing for K2, K3.... */ + /* f2(n) = f1(n) + K2 * g1(n-1) */ + fnext1 = (((q31_t) gcurnt1 * (*pk)) >> 15U) + fcurnt1; + fnext1 = __SSAT(fnext1, 16); + + /* g2(n) = f1(n) * K2 + g1(n-1) */ + gnext1 = (((q31_t) fcurnt1 * (*pk++)) >> 15U) + gcurnt1; + gnext1 = __SSAT(gnext1, 16); + + + /* f1(n) is saved in fcurnt1 + for next stage processing */ + fcurnt1 = fnext1; + + stageCnt--; + + } + + /* y(n) = fN(n) */ + *pDst++ = __SSAT(fcurnt1, 16); + + + blkCnt--; + + } + +#else + + /* Run the below code for Cortex-M0 */ + + q31_t fcurnt, fnext, gcurnt, gnext; /* temporary variables */ + uint32_t numStages = S->numStages; /* Length of the filter */ + uint32_t blkCnt, stageCnt; /* temporary variables for counts */ + + pState = &S->pState[0]; + + blkCnt = blockSize; + + while (blkCnt > 0U) + { + /* f0(n) = x(n) */ + fcurnt = *pSrc++; + + /* Initialize coeff pointer */ + pk = (pCoeffs); + + /* Initialize state pointer */ + px = pState; + + /* read g0(n-1) from state buffer */ + gcurnt = *px; + + /* for sample 1 processing */ + /* f1(n) = f0(n) + K1 * g0(n-1) */ + fnext = ((gcurnt * (*pk)) >> 15U) + fcurnt; + fnext = __SSAT(fnext, 16); + + + /* g1(n) = f0(n) * K1 + g0(n-1) */ + gnext = ((fcurnt * (*pk++)) >> 15U) + gcurnt; + gnext = __SSAT(gnext, 16); + + /* save f0(n) in state buffer */ + *px++ = (q15_t) fcurnt; + + /* f1(n) is saved in fcurnt + for next stage processing */ + fcurnt = fnext; + + stageCnt = (numStages - 1U); + + /* stage loop */ + while (stageCnt > 0U) + { + /* read g1(n-1) from state buffer */ + gcurnt = *px; + + /* save g0(n-1) in state buffer */ + *px++ = (q15_t) gnext; + + /* Sample processing for K2, K3.... */ + /* f2(n) = f1(n) + K2 * g1(n-1) */ + fnext = ((gcurnt * (*pk)) >> 15U) + fcurnt; + fnext = __SSAT(fnext, 16); + + /* g2(n) = f1(n) * K2 + g1(n-1) */ + gnext = ((fcurnt * (*pk++)) >> 15U) + gcurnt; + gnext = __SSAT(gnext, 16); + + + /* f1(n) is saved in fcurnt + for next stage processing */ + fcurnt = fnext; + + stageCnt--; + + } + + /* y(n) = fN(n) */ + *pDst++ = __SSAT(fcurnt, 16); + + + blkCnt--; + + } + +#endif /* #if defined (ARM_MATH_DSP) */ + +} + +/** + * @} end of FIR_Lattice group + */ diff --git a/fw/hid-dials/Drivers/CMSIS/DSP/Source/FilteringFunctions/arm_fir_lattice_q31.c b/fw/hid-dials/Drivers/CMSIS/DSP/Source/FilteringFunctions/arm_fir_lattice_q31.c new file mode 100644 index 0000000..9d52bbc --- /dev/null +++ b/fw/hid-dials/Drivers/CMSIS/DSP/Source/FilteringFunctions/arm_fir_lattice_q31.c @@ -0,0 +1,341 @@ +/* ---------------------------------------------------------------------- + * Project: CMSIS DSP Library + * Title: arm_fir_lattice_q31.c + * Description: Q31 FIR lattice filter processing function + * + * $Date: 27. January 2017 + * $Revision: V.1.5.1 + * + * Target Processor: Cortex-M cores + * -------------------------------------------------------------------- */ +/* + * Copyright (C) 2010-2017 ARM Limited or its affiliates. All rights reserved. + * + * SPDX-License-Identifier: Apache-2.0 + * + * Licensed under the Apache License, Version 2.0 (the License); you may + * not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an AS IS BASIS, WITHOUT + * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ + +#include "arm_math.h" + +/** + * @ingroup groupFilters + */ + +/** + * @addtogroup FIR_Lattice + * @{ + */ + + +/** + * @brief Processing function for the Q31 FIR lattice filter. + * @param[in] *S points to an instance of the Q31 FIR lattice structure. + * @param[in] *pSrc points to the block of input data. + * @param[out] *pDst points to the block of output data + * @param[in] blockSize number of samples to process. + * @return none. + * + * @details + * Scaling and Overflow Behavior: + * In order to avoid overflows the input signal must be scaled down by 2*log2(numStages) bits. + */ + +#if defined (ARM_MATH_DSP) + + /* Run the below code for Cortex-M4 and Cortex-M3 */ + +void arm_fir_lattice_q31( + const arm_fir_lattice_instance_q31 * S, + q31_t * pSrc, + q31_t * pDst, + uint32_t blockSize) +{ + q31_t *pState; /* State pointer */ + q31_t *pCoeffs = S->pCoeffs; /* Coefficient pointer */ + q31_t *px; /* temporary state pointer */ + q31_t *pk; /* temporary coefficient pointer */ + q31_t fcurr1, fnext1, gcurr1 = 0, gnext1; /* temporary variables for first sample in loop unrolling */ + q31_t fcurr2, fnext2, gnext2; /* temporary variables for second sample in loop unrolling */ + uint32_t numStages = S->numStages; /* Length of the filter */ + uint32_t blkCnt, stageCnt; /* temporary variables for counts */ + q31_t k; + + pState = &S->pState[0]; + + blkCnt = blockSize >> 1U; + + /* First part of the processing with loop unrolling. Compute 2 outputs at a time. + a second loop below computes the remaining 1 sample. */ + while (blkCnt > 0U) + { + /* f0(n) = x(n) */ + fcurr1 = *pSrc++; + + /* f0(n) = x(n) */ + fcurr2 = *pSrc++; + + /* Initialize coeff pointer */ + pk = (pCoeffs); + + /* Initialize state pointer */ + px = pState; + + /* read g0(n - 1) from state buffer */ + gcurr1 = *px; + + /* Read the reflection coefficient */ + k = *pk++; + + /* for sample 1 processing */ + /* f1(n) = f0(n) + K1 * g0(n-1) */ + fnext1 = (q31_t) (((q63_t) gcurr1 * k) >> 32); + + /* g1(n) = f0(n) * K1 + g0(n-1) */ + gnext1 = (q31_t) (((q63_t) fcurr1 * (k)) >> 32); + fnext1 = fcurr1 + (fnext1 << 1U); + gnext1 = gcurr1 + (gnext1 << 1U); + + /* for sample 1 processing */ + /* f1(n) = f0(n) + K1 * g0(n-1) */ + fnext2 = (q31_t) (((q63_t) fcurr1 * k) >> 32); + + /* g1(n) = f0(n) * K1 + g0(n-1) */ + gnext2 = (q31_t) (((q63_t) fcurr2 * (k)) >> 32); + fnext2 = fcurr2 + (fnext2 << 1U); + gnext2 = fcurr1 + (gnext2 << 1U); + + /* save g1(n) in state buffer */ + *px++ = fcurr2; + + /* f1(n) is saved in fcurr1 + for next stage processing */ + fcurr1 = fnext1; + fcurr2 = fnext2; + + stageCnt = (numStages - 1U); + + /* stage loop */ + while (stageCnt > 0U) + { + + /* Read the reflection coefficient */ + k = *pk++; + + /* read g2(n) from state buffer */ + gcurr1 = *px; + + /* save g1(n) in state buffer */ + *px++ = gnext2; + + /* Sample processing for K2, K3.... */ + /* f2(n) = f1(n) + K2 * g1(n-1) */ + fnext1 = (q31_t) (((q63_t) gcurr1 * k) >> 32); + fnext2 = (q31_t) (((q63_t) gnext1 * k) >> 32); + + fnext1 = fcurr1 + (fnext1 << 1U); + fnext2 = fcurr2 + (fnext2 << 1U); + + /* g2(n) = f1(n) * K2 + g1(n-1) */ + gnext2 = (q31_t) (((q63_t) fcurr2 * (k)) >> 32); + gnext2 = gnext1 + (gnext2 << 1U); + + /* g2(n) = f1(n) * K2 + g1(n-1) */ + gnext1 = (q31_t) (((q63_t) fcurr1 * (k)) >> 32); + gnext1 = gcurr1 + (gnext1 << 1U); + + /* f1(n) is saved in fcurr1 + for next stage processing */ + fcurr1 = fnext1; + fcurr2 = fnext2; + + stageCnt--; + + } + + /* y(n) = fN(n) */ + *pDst++ = fcurr1; + *pDst++ = fcurr2; + + blkCnt--; + + } + + /* If the blockSize is not a multiple of 4, compute any remaining output samples here. + ** No loop unrolling is used. */ + blkCnt = blockSize % 0x2U; + + while (blkCnt > 0U) + { + /* f0(n) = x(n) */ + fcurr1 = *pSrc++; + + /* Initialize coeff pointer */ + pk = (pCoeffs); + + /* Initialize state pointer */ + px = pState; + + /* read g0(n - 1) from state buffer */ + gcurr1 = *px; + + /* Read the reflection coefficient */ + k = *pk++; + + /* for sample 1 processing */ + /* f1(n) = f0(n) + K1 * g0(n-1) */ + fnext1 = (q31_t) (((q63_t) gcurr1 * k) >> 32); + fnext1 = fcurr1 + (fnext1 << 1U); + + /* g1(n) = f0(n) * K1 + g0(n-1) */ + gnext1 = (q31_t) (((q63_t) fcurr1 * (k)) >> 32); + gnext1 = gcurr1 + (gnext1 << 1U); + + /* save g1(n) in state buffer */ + *px++ = fcurr1; + + /* f1(n) is saved in fcurr1 + for next stage processing */ + fcurr1 = fnext1; + + stageCnt = (numStages - 1U); + + /* stage loop */ + while (stageCnt > 0U) + { + /* Read the reflection coefficient */ + k = *pk++; + + /* read g2(n) from state buffer */ + gcurr1 = *px; + + /* save g1(n) in state buffer */ + *px++ = gnext1; + + /* Sample processing for K2, K3.... */ + /* f2(n) = f1(n) + K2 * g1(n-1) */ + fnext1 = (q31_t) (((q63_t) gcurr1 * k) >> 32); + fnext1 = fcurr1 + (fnext1 << 1U); + + /* g2(n) = f1(n) * K2 + g1(n-1) */ + gnext1 = (q31_t) (((q63_t) fcurr1 * (k)) >> 32); + gnext1 = gcurr1 + (gnext1 << 1U); + + /* f1(n) is saved in fcurr1 + for next stage processing */ + fcurr1 = fnext1; + + stageCnt--; + + } + + + /* y(n) = fN(n) */ + *pDst++ = fcurr1; + + blkCnt--; + + } + + +} + + +#else + +/* Run the below code for Cortex-M0 */ + +void arm_fir_lattice_q31( + const arm_fir_lattice_instance_q31 * S, + q31_t * pSrc, + q31_t * pDst, + uint32_t blockSize) +{ + q31_t *pState; /* State pointer */ + q31_t *pCoeffs = S->pCoeffs; /* Coefficient pointer */ + q31_t *px; /* temporary state pointer */ + q31_t *pk; /* temporary coefficient pointer */ + q31_t fcurr, fnext, gcurr, gnext; /* temporary variables */ + uint32_t numStages = S->numStages; /* Length of the filter */ + uint32_t blkCnt, stageCnt; /* temporary variables for counts */ + + pState = &S->pState[0]; + + blkCnt = blockSize; + + while (blkCnt > 0U) + { + /* f0(n) = x(n) */ + fcurr = *pSrc++; + + /* Initialize coeff pointer */ + pk = (pCoeffs); + + /* Initialize state pointer */ + px = pState; + + /* read g0(n-1) from state buffer */ + gcurr = *px; + + /* for sample 1 processing */ + /* f1(n) = f0(n) + K1 * g0(n-1) */ + fnext = (q31_t) (((q63_t) gcurr * (*pk)) >> 31) + fcurr; + /* g1(n) = f0(n) * K1 + g0(n-1) */ + gnext = (q31_t) (((q63_t) fcurr * (*pk++)) >> 31) + gcurr; + /* save g1(n) in state buffer */ + *px++ = fcurr; + + /* f1(n) is saved in fcurr1 + for next stage processing */ + fcurr = fnext; + + stageCnt = (numStages - 1U); + + /* stage loop */ + while (stageCnt > 0U) + { + /* read g2(n) from state buffer */ + gcurr = *px; + + /* save g1(n) in state buffer */ + *px++ = gnext; + + /* Sample processing for K2, K3.... */ + /* f2(n) = f1(n) + K2 * g1(n-1) */ + fnext = (q31_t) (((q63_t) gcurr * (*pk)) >> 31) + fcurr; + /* g2(n) = f1(n) * K2 + g1(n-1) */ + gnext = (q31_t) (((q63_t) fcurr * (*pk++)) >> 31) + gcurr; + + /* f1(n) is saved in fcurr1 + for next stage processing */ + fcurr = fnext; + + stageCnt--; + + } + + /* y(n) = fN(n) */ + *pDst++ = fcurr; + + blkCnt--; + + } + +} + +#endif /* #if defined (ARM_MATH_DSP) */ + + +/** + * @} end of FIR_Lattice group + */ diff --git a/fw/hid-dials/Drivers/CMSIS/DSP/Source/FilteringFunctions/arm_fir_q15.c b/fw/hid-dials/Drivers/CMSIS/DSP/Source/FilteringFunctions/arm_fir_q15.c new file mode 100644 index 0000000..a979783 --- /dev/null +++ b/fw/hid-dials/Drivers/CMSIS/DSP/Source/FilteringFunctions/arm_fir_q15.c @@ -0,0 +1,679 @@ +/* ---------------------------------------------------------------------- + * Project: CMSIS DSP Library + * Title: arm_fir_q15.c + * Description: Q15 FIR filter processing function + * + * $Date: 27. January 2017 + * $Revision: V.1.5.1 + * + * Target Processor: Cortex-M cores + * -------------------------------------------------------------------- */ +/* + * Copyright (C) 2010-2017 ARM Limited or its affiliates. All rights reserved. + * + * SPDX-License-Identifier: Apache-2.0 + * + * Licensed under the Apache License, Version 2.0 (the License); you may + * not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an AS IS BASIS, WITHOUT + * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ + +#include "arm_math.h" + +/** + * @ingroup groupFilters + */ + +/** + * @addtogroup FIR + * @{ + */ + +/** + * @brief Processing function for the Q15 FIR filter. + * @param[in] *S points to an instance of the Q15 FIR structure. + * @param[in] *pSrc points to the block of input data. + * @param[out] *pDst points to the block of output data. + * @param[in] blockSize number of samples to process per call. + * @return none. + * + * + * \par Restrictions + * If the silicon does not support unaligned memory access enable the macro UNALIGNED_SUPPORT_DISABLE + * In this case input, output, state buffers should be aligned by 32-bit + * + * Scaling and Overflow Behavior: + * \par + * The function is implemented using a 64-bit internal accumulator. + * Both coefficients and state variables are represented in 1.15 format and multiplications yield a 2.30 result. + * The 2.30 intermediate results are accumulated in a 64-bit accumulator in 34.30 format. + * There is no risk of internal overflow with this approach and the full precision of intermediate multiplications is preserved. + * After all additions have been performed, the accumulator is truncated to 34.15 format by discarding low 15 bits. + * Lastly, the accumulator is saturated to yield a result in 1.15 format. + * + * \par + * Refer to the function arm_fir_fast_q15() for a faster but less precise implementation of this function. + */ + +#if defined (ARM_MATH_DSP) + +/* Run the below code for Cortex-M4 and Cortex-M3 */ + +#ifndef UNALIGNED_SUPPORT_DISABLE + + +void arm_fir_q15( + const arm_fir_instance_q15 * S, + q15_t * pSrc, + q15_t * pDst, + uint32_t blockSize) +{ + q15_t *pState = S->pState; /* State pointer */ + q15_t *pCoeffs = S->pCoeffs; /* Coefficient pointer */ + q15_t *pStateCurnt; /* Points to the current sample of the state */ + q15_t *px1; /* Temporary q15 pointer for state buffer */ + q15_t *pb; /* Temporary pointer for coefficient buffer */ + q31_t x0, x1, x2, x3, c0; /* Temporary variables to hold SIMD state and coefficient values */ + q63_t acc0, acc1, acc2, acc3; /* Accumulators */ + uint32_t numTaps = S->numTaps; /* Number of taps in the filter */ + uint32_t tapCnt, blkCnt; /* Loop counters */ + + + /* S->pState points to state array which contains previous frame (numTaps - 1) samples */ + /* pStateCurnt points to the location where the new input data should be written */ + pStateCurnt = &(S->pState[(numTaps - 1U)]); + + /* Apply loop unrolling and compute 4 output values simultaneously. + * The variables acc0 ... acc3 hold output values that are being computed: + * + * acc0 = b[numTaps-1] * x[n-numTaps-1] + b[numTaps-2] * x[n-numTaps-2] + b[numTaps-3] * x[n-numTaps-3] +...+ b[0] * x[0] + * acc1 = b[numTaps-1] * x[n-numTaps] + b[numTaps-2] * x[n-numTaps-1] + b[numTaps-3] * x[n-numTaps-2] +...+ b[0] * x[1] + * acc2 = b[numTaps-1] * x[n-numTaps+1] + b[numTaps-2] * x[n-numTaps] + b[numTaps-3] * x[n-numTaps-1] +...+ b[0] * x[2] + * acc3 = b[numTaps-1] * x[n-numTaps+2] + b[numTaps-2] * x[n-numTaps+1] + b[numTaps-3] * x[n-numTaps] +...+ b[0] * x[3] + */ + + blkCnt = blockSize >> 2; + + /* First part of the processing with loop unrolling. Compute 4 outputs at a time. + ** a second loop below computes the remaining 1 to 3 samples. */ + while (blkCnt > 0U) + { + /* Copy four new input samples into the state buffer. + ** Use 32-bit SIMD to move the 16-bit data. Only requires two copies. */ + *__SIMD32(pStateCurnt)++ = *__SIMD32(pSrc)++; + *__SIMD32(pStateCurnt)++ = *__SIMD32(pSrc)++; + + /* Set all accumulators to zero */ + acc0 = 0; + acc1 = 0; + acc2 = 0; + acc3 = 0; + + /* Initialize state pointer of type q15 */ + px1 = pState; + + /* Initialize coeff pointer of type q31 */ + pb = pCoeffs; + + /* Read the first two samples from the state buffer: x[n-N], x[n-N-1] */ + x0 = _SIMD32_OFFSET(px1); + + /* Read the third and forth samples from the state buffer: x[n-N-1], x[n-N-2] */ + x1 = _SIMD32_OFFSET(px1 + 1U); + + px1 += 2U; + + /* Loop over the number of taps. Unroll by a factor of 4. + ** Repeat until we've computed numTaps-4 coefficients. */ + tapCnt = numTaps >> 2; + + while (tapCnt > 0U) + { + /* Read the first two coefficients using SIMD: b[N] and b[N-1] coefficients */ + c0 = *__SIMD32(pb)++; + + /* acc0 += b[N] * x[n-N] + b[N-1] * x[n-N-1] */ + acc0 = __SMLALD(x0, c0, acc0); + + /* acc1 += b[N] * x[n-N-1] + b[N-1] * x[n-N-2] */ + acc1 = __SMLALD(x1, c0, acc1); + + /* Read state x[n-N-2], x[n-N-3] */ + x2 = _SIMD32_OFFSET(px1); + + /* Read state x[n-N-3], x[n-N-4] */ + x3 = _SIMD32_OFFSET(px1 + 1U); + + /* acc2 += b[N] * x[n-N-2] + b[N-1] * x[n-N-3] */ + acc2 = __SMLALD(x2, c0, acc2); + + /* acc3 += b[N] * x[n-N-3] + b[N-1] * x[n-N-4] */ + acc3 = __SMLALD(x3, c0, acc3); + + /* Read coefficients b[N-2], b[N-3] */ + c0 = *__SIMD32(pb)++; + + /* acc0 += b[N-2] * x[n-N-2] + b[N-3] * x[n-N-3] */ + acc0 = __SMLALD(x2, c0, acc0); + + /* acc1 += b[N-2] * x[n-N-3] + b[N-3] * x[n-N-4] */ + acc1 = __SMLALD(x3, c0, acc1); + + /* Read state x[n-N-4], x[n-N-5] */ + x0 = _SIMD32_OFFSET(px1 + 2U); + + /* Read state x[n-N-5], x[n-N-6] */ + x1 = _SIMD32_OFFSET(px1 + 3U); + + /* acc2 += b[N-2] * x[n-N-4] + b[N-3] * x[n-N-5] */ + acc2 = __SMLALD(x0, c0, acc2); + + /* acc3 += b[N-2] * x[n-N-5] + b[N-3] * x[n-N-6] */ + acc3 = __SMLALD(x1, c0, acc3); + + px1 += 4U; + + tapCnt--; + + } + + + /* If the filter length is not a multiple of 4, compute the remaining filter taps. + ** This is always be 2 taps since the filter length is even. */ + if ((numTaps & 0x3U) != 0U) + { + /* Read 2 coefficients */ + c0 = *__SIMD32(pb)++; + + /* Fetch 4 state variables */ + x2 = _SIMD32_OFFSET(px1); + + x3 = _SIMD32_OFFSET(px1 + 1U); + + /* Perform the multiply-accumulates */ + acc0 = __SMLALD(x0, c0, acc0); + + px1 += 2U; + + acc1 = __SMLALD(x1, c0, acc1); + acc2 = __SMLALD(x2, c0, acc2); + acc3 = __SMLALD(x3, c0, acc3); + } + + /* The results in the 4 accumulators are in 2.30 format. Convert to 1.15 with saturation. + ** Then store the 4 outputs in the destination buffer. */ + +#ifndef ARM_MATH_BIG_ENDIAN + + *__SIMD32(pDst)++ = + __PKHBT(__SSAT((acc0 >> 15), 16), __SSAT((acc1 >> 15), 16), 16); + *__SIMD32(pDst)++ = + __PKHBT(__SSAT((acc2 >> 15), 16), __SSAT((acc3 >> 15), 16), 16); + +#else + + *__SIMD32(pDst)++ = + __PKHBT(__SSAT((acc1 >> 15), 16), __SSAT((acc0 >> 15), 16), 16); + *__SIMD32(pDst)++ = + __PKHBT(__SSAT((acc3 >> 15), 16), __SSAT((acc2 >> 15), 16), 16); + +#endif /* #ifndef ARM_MATH_BIG_ENDIAN */ + + + + /* Advance the state pointer by 4 to process the next group of 4 samples */ + pState = pState + 4; + + /* Decrement the loop counter */ + blkCnt--; + } + + /* If the blockSize is not a multiple of 4, compute any remaining output samples here. + ** No loop unrolling is used. */ + blkCnt = blockSize % 0x4U; + while (blkCnt > 0U) + { + /* Copy two samples into state buffer */ + *pStateCurnt++ = *pSrc++; + + /* Set the accumulator to zero */ + acc0 = 0; + + /* Initialize state pointer of type q15 */ + px1 = pState; + + /* Initialize coeff pointer of type q31 */ + pb = pCoeffs; + + tapCnt = numTaps >> 1; + + do + { + + c0 = *__SIMD32(pb)++; + x0 = *__SIMD32(px1)++; + + acc0 = __SMLALD(x0, c0, acc0); + tapCnt--; + } + while (tapCnt > 0U); + + /* The result is in 2.30 format. Convert to 1.15 with saturation. + ** Then store the output in the destination buffer. */ + *pDst++ = (q15_t) (__SSAT((acc0 >> 15), 16)); + + /* Advance state pointer by 1 for the next sample */ + pState = pState + 1; + + /* Decrement the loop counter */ + blkCnt--; + } + + /* Processing is complete. + ** Now copy the last numTaps - 1 samples to the satrt of the state buffer. + ** This prepares the state buffer for the next function call. */ + + /* Points to the start of the state buffer */ + pStateCurnt = S->pState; + + /* Calculation of count for copying integer writes */ + tapCnt = (numTaps - 1U) >> 2; + + while (tapCnt > 0U) + { + + /* Copy state values to start of state buffer */ + *__SIMD32(pStateCurnt)++ = *__SIMD32(pState)++; + *__SIMD32(pStateCurnt)++ = *__SIMD32(pState)++; + + tapCnt--; + + } + + /* Calculation of count for remaining q15_t data */ + tapCnt = (numTaps - 1U) % 0x4U; + + /* copy remaining data */ + while (tapCnt > 0U) + { + *pStateCurnt++ = *pState++; + + /* Decrement the loop counter */ + tapCnt--; + } +} + +#else /* UNALIGNED_SUPPORT_DISABLE */ + +void arm_fir_q15( + const arm_fir_instance_q15 * S, + q15_t * pSrc, + q15_t * pDst, + uint32_t blockSize) +{ + q15_t *pState = S->pState; /* State pointer */ + q15_t *pCoeffs = S->pCoeffs; /* Coefficient pointer */ + q15_t *pStateCurnt; /* Points to the current sample of the state */ + q63_t acc0, acc1, acc2, acc3; /* Accumulators */ + q15_t *pb; /* Temporary pointer for coefficient buffer */ + q15_t *px; /* Temporary q31 pointer for SIMD state buffer accesses */ + q31_t x0, x1, x2, c0; /* Temporary variables to hold SIMD state and coefficient values */ + uint32_t numTaps = S->numTaps; /* Number of taps in the filter */ + uint32_t tapCnt, blkCnt; /* Loop counters */ + + + /* S->pState points to state array which contains previous frame (numTaps - 1) samples */ + /* pStateCurnt points to the location where the new input data should be written */ + pStateCurnt = &(S->pState[(numTaps - 1U)]); + + /* Apply loop unrolling and compute 4 output values simultaneously. + * The variables acc0 ... acc3 hold output values that are being computed: + * + * acc0 = b[numTaps-1] * x[n-numTaps-1] + b[numTaps-2] * x[n-numTaps-2] + b[numTaps-3] * x[n-numTaps-3] +...+ b[0] * x[0] + * acc1 = b[numTaps-1] * x[n-numTaps] + b[numTaps-2] * x[n-numTaps-1] + b[numTaps-3] * x[n-numTaps-2] +...+ b[0] * x[1] + * acc2 = b[numTaps-1] * x[n-numTaps+1] + b[numTaps-2] * x[n-numTaps] + b[numTaps-3] * x[n-numTaps-1] +...+ b[0] * x[2] + * acc3 = b[numTaps-1] * x[n-numTaps+2] + b[numTaps-2] * x[n-numTaps+1] + b[numTaps-3] * x[n-numTaps] +...+ b[0] * x[3] + */ + + blkCnt = blockSize >> 2; + + /* First part of the processing with loop unrolling. Compute 4 outputs at a time. + ** a second loop below computes the remaining 1 to 3 samples. */ + while (blkCnt > 0U) + { + /* Copy four new input samples into the state buffer. + ** Use 32-bit SIMD to move the 16-bit data. Only requires two copies. */ + *pStateCurnt++ = *pSrc++; + *pStateCurnt++ = *pSrc++; + *pStateCurnt++ = *pSrc++; + *pStateCurnt++ = *pSrc++; + + + /* Set all accumulators to zero */ + acc0 = 0; + acc1 = 0; + acc2 = 0; + acc3 = 0; + + /* Typecast q15_t pointer to q31_t pointer for state reading in q31_t */ + px = pState; + + /* Typecast q15_t pointer to q31_t pointer for coefficient reading in q31_t */ + pb = pCoeffs; + + /* Read the first two samples from the state buffer: x[n-N], x[n-N-1] */ + x0 = *__SIMD32(px)++; + + /* Read the third and forth samples from the state buffer: x[n-N-2], x[n-N-3] */ + x2 = *__SIMD32(px)++; + + /* Loop over the number of taps. Unroll by a factor of 4. + ** Repeat until we've computed numTaps-(numTaps%4) coefficients. */ + tapCnt = numTaps >> 2; + + while (tapCnt > 0) + { + /* Read the first two coefficients using SIMD: b[N] and b[N-1] coefficients */ + c0 = *__SIMD32(pb)++; + + /* acc0 += b[N] * x[n-N] + b[N-1] * x[n-N-1] */ + acc0 = __SMLALD(x0, c0, acc0); + + /* acc2 += b[N] * x[n-N-2] + b[N-1] * x[n-N-3] */ + acc2 = __SMLALD(x2, c0, acc2); + + /* pack x[n-N-1] and x[n-N-2] */ +#ifndef ARM_MATH_BIG_ENDIAN + x1 = __PKHBT(x2, x0, 0); +#else + x1 = __PKHBT(x0, x2, 0); +#endif + + /* Read state x[n-N-4], x[n-N-5] */ + x0 = _SIMD32_OFFSET(px); + + /* acc1 += b[N] * x[n-N-1] + b[N-1] * x[n-N-2] */ + acc1 = __SMLALDX(x1, c0, acc1); + + /* pack x[n-N-3] and x[n-N-4] */ +#ifndef ARM_MATH_BIG_ENDIAN + x1 = __PKHBT(x0, x2, 0); +#else + x1 = __PKHBT(x2, x0, 0); +#endif + + /* acc3 += b[N] * x[n-N-3] + b[N-1] * x[n-N-4] */ + acc3 = __SMLALDX(x1, c0, acc3); + + /* Read coefficients b[N-2], b[N-3] */ + c0 = *__SIMD32(pb)++; + + /* acc0 += b[N-2] * x[n-N-2] + b[N-3] * x[n-N-3] */ + acc0 = __SMLALD(x2, c0, acc0); + + /* Read state x[n-N-6], x[n-N-7] with offset */ + x2 = _SIMD32_OFFSET(px + 2U); + + /* acc2 += b[N-2] * x[n-N-4] + b[N-3] * x[n-N-5] */ + acc2 = __SMLALD(x0, c0, acc2); + + /* acc1 += b[N-2] * x[n-N-3] + b[N-3] * x[n-N-4] */ + acc1 = __SMLALDX(x1, c0, acc1); + + /* pack x[n-N-5] and x[n-N-6] */ +#ifndef ARM_MATH_BIG_ENDIAN + x1 = __PKHBT(x2, x0, 0); +#else + x1 = __PKHBT(x0, x2, 0); +#endif + + /* acc3 += b[N-2] * x[n-N-5] + b[N-3] * x[n-N-6] */ + acc3 = __SMLALDX(x1, c0, acc3); + + /* Update state pointer for next state reading */ + px += 4U; + + /* Decrement tap count */ + tapCnt--; + + } + + /* If the filter length is not a multiple of 4, compute the remaining filter taps. + ** This is always be 2 taps since the filter length is even. */ + if ((numTaps & 0x3U) != 0U) + { + + /* Read last two coefficients */ + c0 = *__SIMD32(pb)++; + + /* Perform the multiply-accumulates */ + acc0 = __SMLALD(x0, c0, acc0); + acc2 = __SMLALD(x2, c0, acc2); + + /* pack state variables */ +#ifndef ARM_MATH_BIG_ENDIAN + x1 = __PKHBT(x2, x0, 0); +#else + x1 = __PKHBT(x0, x2, 0); +#endif + + /* Read last state variables */ + x0 = *__SIMD32(px); + + /* Perform the multiply-accumulates */ + acc1 = __SMLALDX(x1, c0, acc1); + + /* pack state variables */ +#ifndef ARM_MATH_BIG_ENDIAN + x1 = __PKHBT(x0, x2, 0); +#else + x1 = __PKHBT(x2, x0, 0); +#endif + + /* Perform the multiply-accumulates */ + acc3 = __SMLALDX(x1, c0, acc3); + } + + /* The results in the 4 accumulators are in 2.30 format. Convert to 1.15 with saturation. + ** Then store the 4 outputs in the destination buffer. */ + +#ifndef ARM_MATH_BIG_ENDIAN + + *__SIMD32(pDst)++ = + __PKHBT(__SSAT((acc0 >> 15), 16), __SSAT((acc1 >> 15), 16), 16); + + *__SIMD32(pDst)++ = + __PKHBT(__SSAT((acc2 >> 15), 16), __SSAT((acc3 >> 15), 16), 16); + +#else + + *__SIMD32(pDst)++ = + __PKHBT(__SSAT((acc1 >> 15), 16), __SSAT((acc0 >> 15), 16), 16); + + *__SIMD32(pDst)++ = + __PKHBT(__SSAT((acc3 >> 15), 16), __SSAT((acc2 >> 15), 16), 16); + +#endif /* #ifndef ARM_MATH_BIG_ENDIAN */ + + /* Advance the state pointer by 4 to process the next group of 4 samples */ + pState = pState + 4; + + /* Decrement the loop counter */ + blkCnt--; + } + + /* If the blockSize is not a multiple of 4, compute any remaining output samples here. + ** No loop unrolling is used. */ + blkCnt = blockSize % 0x4U; + while (blkCnt > 0U) + { + /* Copy two samples into state buffer */ + *pStateCurnt++ = *pSrc++; + + /* Set the accumulator to zero */ + acc0 = 0; + + /* Use SIMD to hold states and coefficients */ + px = pState; + pb = pCoeffs; + + tapCnt = numTaps >> 1U; + + do + { + acc0 += (q31_t) * px++ * *pb++; + acc0 += (q31_t) * px++ * *pb++; + tapCnt--; + } + while (tapCnt > 0U); + + /* The result is in 2.30 format. Convert to 1.15 with saturation. + ** Then store the output in the destination buffer. */ + *pDst++ = (q15_t) (__SSAT((acc0 >> 15), 16)); + + /* Advance state pointer by 1 for the next sample */ + pState = pState + 1U; + + /* Decrement the loop counter */ + blkCnt--; + } + + /* Processing is complete. + ** Now copy the last numTaps - 1 samples to the satrt of the state buffer. + ** This prepares the state buffer for the next function call. */ + + /* Points to the start of the state buffer */ + pStateCurnt = S->pState; + + /* Calculation of count for copying integer writes */ + tapCnt = (numTaps - 1U) >> 2; + + while (tapCnt > 0U) + { + *pStateCurnt++ = *pState++; + *pStateCurnt++ = *pState++; + *pStateCurnt++ = *pState++; + *pStateCurnt++ = *pState++; + + tapCnt--; + + } + + /* Calculation of count for remaining q15_t data */ + tapCnt = (numTaps - 1U) % 0x4U; + + /* copy remaining data */ + while (tapCnt > 0U) + { + *pStateCurnt++ = *pState++; + + /* Decrement the loop counter */ + tapCnt--; + } +} + + +#endif /* #ifndef UNALIGNED_SUPPORT_DISABLE */ + +#else /* ARM_MATH_CM0_FAMILY */ + + +/* Run the below code for Cortex-M0 */ + +void arm_fir_q15( + const arm_fir_instance_q15 * S, + q15_t * pSrc, + q15_t * pDst, + uint32_t blockSize) +{ + q15_t *pState = S->pState; /* State pointer */ + q15_t *pCoeffs = S->pCoeffs; /* Coefficient pointer */ + q15_t *pStateCurnt; /* Points to the current sample of the state */ + + + + q15_t *px; /* Temporary pointer for state buffer */ + q15_t *pb; /* Temporary pointer for coefficient buffer */ + q63_t acc; /* Accumulator */ + uint32_t numTaps = S->numTaps; /* Number of nTaps in the filter */ + uint32_t tapCnt, blkCnt; /* Loop counters */ + + /* S->pState buffer contains previous frame (numTaps - 1) samples */ + /* pStateCurnt points to the location where the new input data should be written */ + pStateCurnt = &(S->pState[(numTaps - 1U)]); + + /* Initialize blkCnt with blockSize */ + blkCnt = blockSize; + + while (blkCnt > 0U) + { + /* Copy one sample at a time into state buffer */ + *pStateCurnt++ = *pSrc++; + + /* Set the accumulator to zero */ + acc = 0; + + /* Initialize state pointer */ + px = pState; + + /* Initialize Coefficient pointer */ + pb = pCoeffs; + + tapCnt = numTaps; + + /* Perform the multiply-accumulates */ + do + { + /* acc = b[numTaps-1] * x[n-numTaps-1] + b[numTaps-2] * x[n-numTaps-2] + b[numTaps-3] * x[n-numTaps-3] +...+ b[0] * x[0] */ + acc += (q31_t) * px++ * *pb++; + tapCnt--; + } while (tapCnt > 0U); + + /* The result is in 2.30 format. Convert to 1.15 + ** Then store the output in the destination buffer. */ + *pDst++ = (q15_t) __SSAT((acc >> 15U), 16); + + /* Advance state pointer by 1 for the next sample */ + pState = pState + 1; + + /* Decrement the samples loop counter */ + blkCnt--; + } + + /* Processing is complete. + ** Now copy the last numTaps - 1 samples to the satrt of the state buffer. + ** This prepares the state buffer for the next function call. */ + + /* Points to the start of the state buffer */ + pStateCurnt = S->pState; + + /* Copy numTaps number of values */ + tapCnt = (numTaps - 1U); + + /* copy data */ + while (tapCnt > 0U) + { + *pStateCurnt++ = *pState++; + + /* Decrement the loop counter */ + tapCnt--; + } + +} + +#endif /* #if defined (ARM_MATH_DSP) */ + + + + +/** + * @} end of FIR group + */ diff --git a/fw/hid-dials/Drivers/CMSIS/DSP/Source/FilteringFunctions/arm_fir_q31.c b/fw/hid-dials/Drivers/CMSIS/DSP/Source/FilteringFunctions/arm_fir_q31.c new file mode 100644 index 0000000..b0a2723 --- /dev/null +++ b/fw/hid-dials/Drivers/CMSIS/DSP/Source/FilteringFunctions/arm_fir_q31.c @@ -0,0 +1,353 @@ +/* ---------------------------------------------------------------------- + * Project: CMSIS DSP Library + * Title: arm_fir_q31.c + * Description: Q31 FIR filter processing function + * + * $Date: 27. January 2017 + * $Revision: V.1.5.1 + * + * Target Processor: Cortex-M cores + * -------------------------------------------------------------------- */ +/* + * Copyright (C) 2010-2017 ARM Limited or its affiliates. All rights reserved. + * + * SPDX-License-Identifier: Apache-2.0 + * + * Licensed under the Apache License, Version 2.0 (the License); you may + * not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an AS IS BASIS, WITHOUT + * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ + +#include "arm_math.h" + +/** + * @ingroup groupFilters + */ + +/** + * @addtogroup FIR + * @{ + */ + +/** + * @param[in] *S points to an instance of the Q31 FIR filter structure. + * @param[in] *pSrc points to the block of input data. + * @param[out] *pDst points to the block of output data. + * @param[in] blockSize number of samples to process per call. + * @return none. + * + * @details + * Scaling and Overflow Behavior: + * \par + * The function is implemented using an internal 64-bit accumulator. + * The accumulator has a 2.62 format and maintains full precision of the intermediate multiplication results but provides only a single guard bit. + * Thus, if the accumulator result overflows it wraps around rather than clip. + * In order to avoid overflows completely the input signal must be scaled down by log2(numTaps) bits. + * After all multiply-accumulates are performed, the 2.62 accumulator is right shifted by 31 bits and saturated to 1.31 format to yield the final result. + * + * \par + * Refer to the function arm_fir_fast_q31() for a faster but less precise implementation of this filter for Cortex-M3 and Cortex-M4. + */ + +void arm_fir_q31( + const arm_fir_instance_q31 * S, + q31_t * pSrc, + q31_t * pDst, + uint32_t blockSize) +{ + q31_t *pState = S->pState; /* State pointer */ + q31_t *pCoeffs = S->pCoeffs; /* Coefficient pointer */ + q31_t *pStateCurnt; /* Points to the current sample of the state */ + + +#if defined (ARM_MATH_DSP) + + /* Run the below code for Cortex-M4 and Cortex-M3 */ + + q31_t x0, x1, x2; /* Temporary variables to hold state */ + q31_t c0; /* Temporary variable to hold coefficient value */ + q31_t *px; /* Temporary pointer for state */ + q31_t *pb; /* Temporary pointer for coefficient buffer */ + q63_t acc0, acc1, acc2; /* Accumulators */ + uint32_t numTaps = S->numTaps; /* Number of filter coefficients in the filter */ + uint32_t i, tapCnt, blkCnt, tapCntN3; /* Loop counters */ + + /* S->pState points to state array which contains previous frame (numTaps - 1) samples */ + /* pStateCurnt points to the location where the new input data should be written */ + pStateCurnt = &(S->pState[(numTaps - 1U)]); + + /* Apply loop unrolling and compute 4 output values simultaneously. + * The variables acc0 ... acc3 hold output values that are being computed: + * + * acc0 = b[numTaps-1] * x[n-numTaps-1] + b[numTaps-2] * x[n-numTaps-2] + b[numTaps-3] * x[n-numTaps-3] +...+ b[0] * x[0] + * acc1 = b[numTaps-1] * x[n-numTaps] + b[numTaps-2] * x[n-numTaps-1] + b[numTaps-3] * x[n-numTaps-2] +...+ b[0] * x[1] + * acc2 = b[numTaps-1] * x[n-numTaps+1] + b[numTaps-2] * x[n-numTaps] + b[numTaps-3] * x[n-numTaps-1] +...+ b[0] * x[2] + * acc3 = b[numTaps-1] * x[n-numTaps+2] + b[numTaps-2] * x[n-numTaps+1] + b[numTaps-3] * x[n-numTaps] +...+ b[0] * x[3] + */ + blkCnt = blockSize / 3; + blockSize = blockSize - (3 * blkCnt); + + tapCnt = numTaps / 3; + tapCntN3 = numTaps - (3 * tapCnt); + + /* First part of the processing with loop unrolling. Compute 4 outputs at a time. + ** a second loop below computes the remaining 1 to 3 samples. */ + while (blkCnt > 0U) + { + /* Copy three new input samples into the state buffer */ + *pStateCurnt++ = *pSrc++; + *pStateCurnt++ = *pSrc++; + *pStateCurnt++ = *pSrc++; + + /* Set all accumulators to zero */ + acc0 = 0; + acc1 = 0; + acc2 = 0; + + /* Initialize state pointer */ + px = pState; + + /* Initialize coefficient pointer */ + pb = pCoeffs; + + /* Read the first two samples from the state buffer: + * x[n-numTaps], x[n-numTaps-1] */ + x0 = *(px++); + x1 = *(px++); + + /* Loop unrolling. Process 3 taps at a time. */ + i = tapCnt; + + while (i > 0U) + { + /* Read the b[numTaps] coefficient */ + c0 = *pb; + + /* Read x[n-numTaps-2] sample */ + x2 = *(px++); + + /* Perform the multiply-accumulates */ + acc0 += ((q63_t) x0 * c0); + acc1 += ((q63_t) x1 * c0); + acc2 += ((q63_t) x2 * c0); + + /* Read the coefficient and state */ + c0 = *(pb + 1U); + x0 = *(px++); + + /* Perform the multiply-accumulates */ + acc0 += ((q63_t) x1 * c0); + acc1 += ((q63_t) x2 * c0); + acc2 += ((q63_t) x0 * c0); + + /* Read the coefficient and state */ + c0 = *(pb + 2U); + x1 = *(px++); + + /* update coefficient pointer */ + pb += 3U; + + /* Perform the multiply-accumulates */ + acc0 += ((q63_t) x2 * c0); + acc1 += ((q63_t) x0 * c0); + acc2 += ((q63_t) x1 * c0); + + /* Decrement the loop counter */ + i--; + } + + /* If the filter length is not a multiple of 3, compute the remaining filter taps */ + + i = tapCntN3; + + while (i > 0U) + { + /* Read coefficients */ + c0 = *(pb++); + + /* Fetch 1 state variable */ + x2 = *(px++); + + /* Perform the multiply-accumulates */ + acc0 += ((q63_t) x0 * c0); + acc1 += ((q63_t) x1 * c0); + acc2 += ((q63_t) x2 * c0); + + /* Reuse the present sample states for next sample */ + x0 = x1; + x1 = x2; + + /* Decrement the loop counter */ + i--; + } + + /* Advance the state pointer by 3 to process the next group of 3 samples */ + pState = pState + 3; + + /* The results in the 3 accumulators are in 2.30 format. Convert to 1.31 + ** Then store the 3 outputs in the destination buffer. */ + *pDst++ = (q31_t) (acc0 >> 31U); + *pDst++ = (q31_t) (acc1 >> 31U); + *pDst++ = (q31_t) (acc2 >> 31U); + + /* Decrement the samples loop counter */ + blkCnt--; + } + + /* If the blockSize is not a multiple of 3, compute any remaining output samples here. + ** No loop unrolling is used. */ + + while (blockSize > 0U) + { + /* Copy one sample at a time into state buffer */ + *pStateCurnt++ = *pSrc++; + + /* Set the accumulator to zero */ + acc0 = 0; + + /* Initialize state pointer */ + px = pState; + + /* Initialize Coefficient pointer */ + pb = (pCoeffs); + + i = numTaps; + + /* Perform the multiply-accumulates */ + do + { + acc0 += (q63_t) * (px++) * (*(pb++)); + i--; + } while (i > 0U); + + /* The result is in 2.62 format. Convert to 1.31 + ** Then store the output in the destination buffer. */ + *pDst++ = (q31_t) (acc0 >> 31U); + + /* Advance state pointer by 1 for the next sample */ + pState = pState + 1; + + /* Decrement the samples loop counter */ + blockSize--; + } + + /* Processing is complete. + ** Now copy the last numTaps - 1 samples to the satrt of the state buffer. + ** This prepares the state buffer for the next function call. */ + + /* Points to the start of the state buffer */ + pStateCurnt = S->pState; + + tapCnt = (numTaps - 1U) >> 2U; + + /* copy data */ + while (tapCnt > 0U) + { + *pStateCurnt++ = *pState++; + *pStateCurnt++ = *pState++; + *pStateCurnt++ = *pState++; + *pStateCurnt++ = *pState++; + + /* Decrement the loop counter */ + tapCnt--; + } + + /* Calculate remaining number of copies */ + tapCnt = (numTaps - 1U) % 0x4U; + + /* Copy the remaining q31_t data */ + while (tapCnt > 0U) + { + *pStateCurnt++ = *pState++; + + /* Decrement the loop counter */ + tapCnt--; + } + +#else + +/* Run the below code for Cortex-M0 */ + + q31_t *px; /* Temporary pointer for state */ + q31_t *pb; /* Temporary pointer for coefficient buffer */ + q63_t acc; /* Accumulator */ + uint32_t numTaps = S->numTaps; /* Length of the filter */ + uint32_t i, tapCnt, blkCnt; /* Loop counters */ + + /* S->pState buffer contains previous frame (numTaps - 1) samples */ + /* pStateCurnt points to the location where the new input data should be written */ + pStateCurnt = &(S->pState[(numTaps - 1U)]); + + /* Initialize blkCnt with blockSize */ + blkCnt = blockSize; + + while (blkCnt > 0U) + { + /* Copy one sample at a time into state buffer */ + *pStateCurnt++ = *pSrc++; + + /* Set the accumulator to zero */ + acc = 0; + + /* Initialize state pointer */ + px = pState; + + /* Initialize Coefficient pointer */ + pb = pCoeffs; + + i = numTaps; + + /* Perform the multiply-accumulates */ + do + { + /* acc = b[numTaps-1] * x[n-numTaps-1] + b[numTaps-2] * x[n-numTaps-2] + b[numTaps-3] * x[n-numTaps-3] +...+ b[0] * x[0] */ + acc += (q63_t) * px++ * *pb++; + i--; + } while (i > 0U); + + /* The result is in 2.62 format. Convert to 1.31 + ** Then store the output in the destination buffer. */ + *pDst++ = (q31_t) (acc >> 31U); + + /* Advance state pointer by 1 for the next sample */ + pState = pState + 1; + + /* Decrement the samples loop counter */ + blkCnt--; + } + + /* Processing is complete. + ** Now copy the last numTaps - 1 samples to the starting of the state buffer. + ** This prepares the state buffer for the next function call. */ + + /* Points to the start of the state buffer */ + pStateCurnt = S->pState; + + /* Copy numTaps number of values */ + tapCnt = numTaps - 1U; + + /* Copy the data */ + while (tapCnt > 0U) + { + *pStateCurnt++ = *pState++; + + /* Decrement the loop counter */ + tapCnt--; + } + + +#endif /* #if defined (ARM_MATH_DSP) */ + +} + +/** + * @} end of FIR group + */ diff --git a/fw/hid-dials/Drivers/CMSIS/DSP/Source/FilteringFunctions/arm_fir_q7.c b/fw/hid-dials/Drivers/CMSIS/DSP/Source/FilteringFunctions/arm_fir_q7.c new file mode 100644 index 0000000..4f795d7 --- /dev/null +++ b/fw/hid-dials/Drivers/CMSIS/DSP/Source/FilteringFunctions/arm_fir_q7.c @@ -0,0 +1,385 @@ +/* ---------------------------------------------------------------------- + * Project: CMSIS DSP Library + * Title: arm_fir_q7.c + * Description: Q7 FIR filter processing function + * + * $Date: 27. January 2017 + * $Revision: V.1.5.1 + * + * Target Processor: Cortex-M cores + * -------------------------------------------------------------------- */ +/* + * Copyright (C) 2010-2017 ARM Limited or its affiliates. All rights reserved. + * + * SPDX-License-Identifier: Apache-2.0 + * + * Licensed under the Apache License, Version 2.0 (the License); you may + * not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an AS IS BASIS, WITHOUT + * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ + +#include "arm_math.h" + +/** + * @ingroup groupFilters + */ + +/** + * @addtogroup FIR + * @{ + */ + +/** + * @param[in] *S points to an instance of the Q7 FIR filter structure. + * @param[in] *pSrc points to the block of input data. + * @param[out] *pDst points to the block of output data. + * @param[in] blockSize number of samples to process per call. + * @return none. + * + * Scaling and Overflow Behavior: + * \par + * The function is implemented using a 32-bit internal accumulator. + * Both coefficients and state variables are represented in 1.7 format and multiplications yield a 2.14 result. + * The 2.14 intermediate results are accumulated in a 32-bit accumulator in 18.14 format. + * There is no risk of internal overflow with this approach and the full precision of intermediate multiplications is preserved. + * The accumulator is converted to 18.7 format by discarding the low 7 bits. + * Finally, the result is truncated to 1.7 format. + */ + +void arm_fir_q7( + const arm_fir_instance_q7 * S, + q7_t * pSrc, + q7_t * pDst, + uint32_t blockSize) +{ + +#if defined (ARM_MATH_DSP) + + /* Run the below code for Cortex-M4 and Cortex-M3 */ + + q7_t *pState = S->pState; /* State pointer */ + q7_t *pCoeffs = S->pCoeffs; /* Coefficient pointer */ + q7_t *pStateCurnt; /* Points to the current sample of the state */ + q7_t x0, x1, x2, x3; /* Temporary variables to hold state */ + q7_t c0; /* Temporary variable to hold coefficient value */ + q7_t *px; /* Temporary pointer for state */ + q7_t *pb; /* Temporary pointer for coefficient buffer */ + q31_t acc0, acc1, acc2, acc3; /* Accumulators */ + uint32_t numTaps = S->numTaps; /* Number of filter coefficients in the filter */ + uint32_t i, tapCnt, blkCnt; /* Loop counters */ + + /* S->pState points to state array which contains previous frame (numTaps - 1) samples */ + /* pStateCurnt points to the location where the new input data should be written */ + pStateCurnt = &(S->pState[(numTaps - 1U)]); + + /* Apply loop unrolling and compute 4 output values simultaneously. + * The variables acc0 ... acc3 hold output values that are being computed: + * + * acc0 = b[numTaps-1] * x[n-numTaps-1] + b[numTaps-2] * x[n-numTaps-2] + b[numTaps-3] * x[n-numTaps-3] +...+ b[0] * x[0] + * acc1 = b[numTaps-1] * x[n-numTaps] + b[numTaps-2] * x[n-numTaps-1] + b[numTaps-3] * x[n-numTaps-2] +...+ b[0] * x[1] + * acc2 = b[numTaps-1] * x[n-numTaps+1] + b[numTaps-2] * x[n-numTaps] + b[numTaps-3] * x[n-numTaps-1] +...+ b[0] * x[2] + * acc3 = b[numTaps-1] * x[n-numTaps+2] + b[numTaps-2] * x[n-numTaps+1] + b[numTaps-3] * x[n-numTaps] +...+ b[0] * x[3] + */ + blkCnt = blockSize >> 2; + + /* First part of the processing with loop unrolling. Compute 4 outputs at a time. + ** a second loop below computes the remaining 1 to 3 samples. */ + while (blkCnt > 0U) + { + /* Copy four new input samples into the state buffer */ + *pStateCurnt++ = *pSrc++; + *pStateCurnt++ = *pSrc++; + *pStateCurnt++ = *pSrc++; + *pStateCurnt++ = *pSrc++; + + /* Set all accumulators to zero */ + acc0 = 0; + acc1 = 0; + acc2 = 0; + acc3 = 0; + + /* Initialize state pointer */ + px = pState; + + /* Initialize coefficient pointer */ + pb = pCoeffs; + + /* Read the first three samples from the state buffer: + * x[n-numTaps], x[n-numTaps-1], x[n-numTaps-2] */ + x0 = *(px++); + x1 = *(px++); + x2 = *(px++); + + /* Loop unrolling. Process 4 taps at a time. */ + tapCnt = numTaps >> 2; + i = tapCnt; + + while (i > 0U) + { + /* Read the b[numTaps] coefficient */ + c0 = *pb; + + /* Read x[n-numTaps-3] sample */ + x3 = *px; + + /* acc0 += b[numTaps] * x[n-numTaps] */ + acc0 += ((q15_t) x0 * c0); + + /* acc1 += b[numTaps] * x[n-numTaps-1] */ + acc1 += ((q15_t) x1 * c0); + + /* acc2 += b[numTaps] * x[n-numTaps-2] */ + acc2 += ((q15_t) x2 * c0); + + /* acc3 += b[numTaps] * x[n-numTaps-3] */ + acc3 += ((q15_t) x3 * c0); + + /* Read the b[numTaps-1] coefficient */ + c0 = *(pb + 1U); + + /* Read x[n-numTaps-4] sample */ + x0 = *(px + 1U); + + /* Perform the multiply-accumulates */ + acc0 += ((q15_t) x1 * c0); + acc1 += ((q15_t) x2 * c0); + acc2 += ((q15_t) x3 * c0); + acc3 += ((q15_t) x0 * c0); + + /* Read the b[numTaps-2] coefficient */ + c0 = *(pb + 2U); + + /* Read x[n-numTaps-5] sample */ + x1 = *(px + 2U); + + /* Perform the multiply-accumulates */ + acc0 += ((q15_t) x2 * c0); + acc1 += ((q15_t) x3 * c0); + acc2 += ((q15_t) x0 * c0); + acc3 += ((q15_t) x1 * c0); + + /* Read the b[numTaps-3] coefficients */ + c0 = *(pb + 3U); + + /* Read x[n-numTaps-6] sample */ + x2 = *(px + 3U); + + /* Perform the multiply-accumulates */ + acc0 += ((q15_t) x3 * c0); + acc1 += ((q15_t) x0 * c0); + acc2 += ((q15_t) x1 * c0); + acc3 += ((q15_t) x2 * c0); + + /* update coefficient pointer */ + pb += 4U; + px += 4U; + + /* Decrement the loop counter */ + i--; + } + + /* If the filter length is not a multiple of 4, compute the remaining filter taps */ + + i = numTaps - (tapCnt * 4U); + while (i > 0U) + { + /* Read coefficients */ + c0 = *(pb++); + + /* Fetch 1 state variable */ + x3 = *(px++); + + /* Perform the multiply-accumulates */ + acc0 += ((q15_t) x0 * c0); + acc1 += ((q15_t) x1 * c0); + acc2 += ((q15_t) x2 * c0); + acc3 += ((q15_t) x3 * c0); + + /* Reuse the present sample states for next sample */ + x0 = x1; + x1 = x2; + x2 = x3; + + /* Decrement the loop counter */ + i--; + } + + /* Advance the state pointer by 4 to process the next group of 4 samples */ + pState = pState + 4; + + /* The results in the 4 accumulators are in 2.62 format. Convert to 1.31 + ** Then store the 4 outputs in the destination buffer. */ + acc0 = __SSAT((acc0 >> 7U), 8); + *pDst++ = acc0; + acc1 = __SSAT((acc1 >> 7U), 8); + *pDst++ = acc1; + acc2 = __SSAT((acc2 >> 7U), 8); + *pDst++ = acc2; + acc3 = __SSAT((acc3 >> 7U), 8); + *pDst++ = acc3; + + /* Decrement the samples loop counter */ + blkCnt--; + } + + + /* If the blockSize is not a multiple of 4, compute any remaining output samples here. + ** No loop unrolling is used. */ + blkCnt = blockSize % 4U; + + while (blkCnt > 0U) + { + /* Copy one sample at a time into state buffer */ + *pStateCurnt++ = *pSrc++; + + /* Set the accumulator to zero */ + acc0 = 0; + + /* Initialize state pointer */ + px = pState; + + /* Initialize Coefficient pointer */ + pb = (pCoeffs); + + i = numTaps; + + /* Perform the multiply-accumulates */ + do + { + acc0 += (q15_t) * (px++) * (*(pb++)); + i--; + } while (i > 0U); + + /* The result is in 2.14 format. Convert to 1.7 + ** Then store the output in the destination buffer. */ + *pDst++ = __SSAT((acc0 >> 7U), 8); + + /* Advance state pointer by 1 for the next sample */ + pState = pState + 1; + + /* Decrement the samples loop counter */ + blkCnt--; + } + + /* Processing is complete. + ** Now copy the last numTaps - 1 samples to the satrt of the state buffer. + ** This prepares the state buffer for the next function call. */ + + /* Points to the start of the state buffer */ + pStateCurnt = S->pState; + + tapCnt = (numTaps - 1U) >> 2U; + + /* copy data */ + while (tapCnt > 0U) + { + *pStateCurnt++ = *pState++; + *pStateCurnt++ = *pState++; + *pStateCurnt++ = *pState++; + *pStateCurnt++ = *pState++; + + /* Decrement the loop counter */ + tapCnt--; + } + + /* Calculate remaining number of copies */ + tapCnt = (numTaps - 1U) % 0x4U; + + /* Copy the remaining q31_t data */ + while (tapCnt > 0U) + { + *pStateCurnt++ = *pState++; + + /* Decrement the loop counter */ + tapCnt--; + } + +#else + +/* Run the below code for Cortex-M0 */ + + uint32_t numTaps = S->numTaps; /* Number of taps in the filter */ + uint32_t i, blkCnt; /* Loop counters */ + q7_t *pState = S->pState; /* State pointer */ + q7_t *pCoeffs = S->pCoeffs; /* Coefficient pointer */ + q7_t *px, *pb; /* Temporary pointers to state and coeff */ + q31_t acc = 0; /* Accumlator */ + q7_t *pStateCurnt; /* Points to the current sample of the state */ + + + /* S->pState points to state array which contains previous frame (numTaps - 1) samples */ + /* pStateCurnt points to the location where the new input data should be written */ + pStateCurnt = S->pState + (numTaps - 1U); + + /* Initialize blkCnt with blockSize */ + blkCnt = blockSize; + + /* Perform filtering upto BlockSize - BlockSize%4 */ + while (blkCnt > 0U) + { + /* Copy one sample at a time into state buffer */ + *pStateCurnt++ = *pSrc++; + + /* Set accumulator to zero */ + acc = 0; + + /* Initialize state pointer of type q7 */ + px = pState; + + /* Initialize coeff pointer of type q7 */ + pb = pCoeffs; + + + i = numTaps; + + while (i > 0U) + { + /* acc = b[numTaps-1] * x[n-numTaps-1] + b[numTaps-2] * x[n-numTaps-2] + b[numTaps-3] * x[n-numTaps-3] +...+ b[0] * x[0] */ + acc += (q15_t) * px++ * *pb++; + i--; + } + + /* Store the 1.7 format filter output in destination buffer */ + *pDst++ = (q7_t) __SSAT((acc >> 7), 8); + + /* Advance the state pointer by 1 to process the next sample */ + pState = pState + 1; + + /* Decrement the loop counter */ + blkCnt--; + } + + /* Processing is complete. + ** Now copy the last numTaps - 1 samples to the satrt of the state buffer. + ** This prepares the state buffer for the next function call. */ + + + /* Points to the start of the state buffer */ + pStateCurnt = S->pState; + + + /* Copy numTaps number of values */ + i = (numTaps - 1U); + + /* Copy q7_t data */ + while (i > 0U) + { + *pStateCurnt++ = *pState++; + i--; + } + +#endif /* #if defined (ARM_MATH_DSP) */ + +} + +/** + * @} end of FIR group + */ diff --git a/fw/hid-dials/Drivers/CMSIS/DSP/Source/FilteringFunctions/arm_fir_sparse_f32.c b/fw/hid-dials/Drivers/CMSIS/DSP/Source/FilteringFunctions/arm_fir_sparse_f32.c new file mode 100644 index 0000000..fe9aacd --- /dev/null +++ b/fw/hid-dials/Drivers/CMSIS/DSP/Source/FilteringFunctions/arm_fir_sparse_f32.c @@ -0,0 +1,433 @@ +/* ---------------------------------------------------------------------- + * Project: CMSIS DSP Library + * Title: arm_fir_sparse_f32.c + * Description: Floating-point sparse FIR filter processing function + * + * $Date: 27. January 2017 + * $Revision: V.1.5.1 + * + * Target Processor: Cortex-M cores + * -------------------------------------------------------------------- */ +/* + * Copyright (C) 2010-2017 ARM Limited or its affiliates. All rights reserved. + * + * SPDX-License-Identifier: Apache-2.0 + * + * Licensed under the Apache License, Version 2.0 (the License); you may + * not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an AS IS BASIS, WITHOUT + * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ + +#include "arm_math.h" + +/** + * @ingroup groupFilters + */ + +/** + * @defgroup FIR_Sparse Finite Impulse Response (FIR) Sparse Filters + * + * This group of functions implements sparse FIR filters. + * Sparse FIR filters are equivalent to standard FIR filters except that most of the coefficients are equal to zero. + * Sparse filters are used for simulating reflections in communications and audio applications. + * + * There are separate functions for Q7, Q15, Q31, and floating-point data types. + * The functions operate on blocks of input and output data and each call to the function processes + * blockSize samples through the filter. pSrc and + * pDst points to input and output arrays respectively containing blockSize values. + * + * \par Algorithm: + * The sparse filter instant structure contains an array of tap indices pTapDelay which specifies the locations of the non-zero coefficients. + * This is in addition to the coefficient array b. + * The implementation essentially skips the multiplications by zero and leads to an efficient realization. + *
+ *     y[n] = b[0] * x[n-pTapDelay[0]] + b[1] * x[n-pTapDelay[1]] + b[2] * x[n-pTapDelay[2]] + ...+ b[numTaps-1] * x[n-pTapDelay[numTaps-1]]
+ * 
+ * \par + * \image html FIRSparse.gif "Sparse FIR filter. b[n] represents the filter coefficients" + * \par + * pCoeffs points to a coefficient array of size numTaps; + * pTapDelay points to an array of nonzero indices and is also of size numTaps; + * pState points to a state array of size maxDelay + blockSize, where + * maxDelay is the largest offset value that is ever used in the pTapDelay array. + * Some of the processing functions also require temporary working buffers. + * + * \par Instance Structure + * The coefficients and state variables for a filter are stored together in an instance data structure. + * A separate instance structure must be defined for each filter. + * Coefficient and offset arrays may be shared among several instances while state variable arrays cannot be shared. + * There are separate instance structure declarations for each of the 4 supported data types. + * + * \par Initialization Functions + * There is also an associated initialization function for each data type. + * The initialization function performs the following operations: + * - Sets the values of the internal structure fields. + * - Zeros out the values in the state buffer. + * To do this manually without calling the init function, assign the follow subfields of the instance structure: + * numTaps, pCoeffs, pTapDelay, maxDelay, stateIndex, pState. Also set all of the values in pState to zero. + * + * \par + * Use of the initialization function is optional. + * However, if the initialization function is used, then the instance structure cannot be placed into a const data section. + * To place an instance structure into a const data section, the instance structure must be manually initialized. + * Set the values in the state buffer to zeros before static initialization. + * The code below statically initializes each of the 4 different data type filter instance structures + *
+ *arm_fir_sparse_instance_f32 S = {numTaps, 0, pState, pCoeffs, maxDelay, pTapDelay};
+ *arm_fir_sparse_instance_q31 S = {numTaps, 0, pState, pCoeffs, maxDelay, pTapDelay};
+ *arm_fir_sparse_instance_q15 S = {numTaps, 0, pState, pCoeffs, maxDelay, pTapDelay};
+ *arm_fir_sparse_instance_q7 S =  {numTaps, 0, pState, pCoeffs, maxDelay, pTapDelay};
+ * 
+ * \par + * + * \par Fixed-Point Behavior + * Care must be taken when using the fixed-point versions of the sparse FIR filter functions. + * In particular, the overflow and saturation behavior of the accumulator used in each function must be considered. + * Refer to the function specific documentation below for usage guidelines. + */ + +/** + * @addtogroup FIR_Sparse + * @{ + */ + +/** + * @brief Processing function for the floating-point sparse FIR filter. + * @param[in] *S points to an instance of the floating-point sparse FIR structure. + * @param[in] *pSrc points to the block of input data. + * @param[out] *pDst points to the block of output data + * @param[in] *pScratchIn points to a temporary buffer of size blockSize. + * @param[in] blockSize number of input samples to process per call. + * @return none. + */ + +void arm_fir_sparse_f32( + arm_fir_sparse_instance_f32 * S, + float32_t * pSrc, + float32_t * pDst, + float32_t * pScratchIn, + uint32_t blockSize) +{ + + float32_t *pState = S->pState; /* State pointer */ + float32_t *pCoeffs = S->pCoeffs; /* Coefficient pointer */ + float32_t *px; /* Scratch buffer pointer */ + float32_t *py = pState; /* Temporary pointers for state buffer */ + float32_t *pb = pScratchIn; /* Temporary pointers for scratch buffer */ + float32_t *pOut; /* Destination pointer */ + int32_t *pTapDelay = S->pTapDelay; /* Pointer to the array containing offset of the non-zero tap values. */ + uint32_t delaySize = S->maxDelay + blockSize; /* state length */ + uint16_t numTaps = S->numTaps; /* Number of filter coefficients in the filter */ + int32_t readIndex; /* Read index of the state buffer */ + uint32_t tapCnt, blkCnt; /* loop counters */ + float32_t coeff = *pCoeffs++; /* Read the first coefficient value */ + + + + /* BlockSize of Input samples are copied into the state buffer */ + /* StateIndex points to the starting position to write in the state buffer */ + arm_circularWrite_f32((int32_t *) py, delaySize, &S->stateIndex, 1, + (int32_t *) pSrc, 1, blockSize); + + + /* Read Index, from where the state buffer should be read, is calculated. */ + readIndex = ((int32_t) S->stateIndex - (int32_t) blockSize) - *pTapDelay++; + + /* Wraparound of readIndex */ + if (readIndex < 0) + { + readIndex += (int32_t) delaySize; + } + + /* Working pointer for state buffer is updated */ + py = pState; + + /* blockSize samples are read from the state buffer */ + arm_circularRead_f32((int32_t *) py, delaySize, &readIndex, 1, + (int32_t *) pb, (int32_t *) pb, blockSize, 1, + blockSize); + + /* Working pointer for the scratch buffer */ + px = pb; + + /* Working pointer for destination buffer */ + pOut = pDst; + + +#if defined (ARM_MATH_DSP) + + /* Run the below code for Cortex-M4 and Cortex-M3 */ + + /* Loop over the blockSize. Unroll by a factor of 4. + * Compute 4 Multiplications at a time. */ + blkCnt = blockSize >> 2U; + + while (blkCnt > 0U) + { + /* Perform Multiplications and store in destination buffer */ + *pOut++ = *px++ * coeff; + *pOut++ = *px++ * coeff; + *pOut++ = *px++ * coeff; + *pOut++ = *px++ * coeff; + + /* Decrement the loop counter */ + blkCnt--; + } + + /* If the blockSize is not a multiple of 4, + * compute the remaining samples */ + blkCnt = blockSize % 0x4U; + + while (blkCnt > 0U) + { + /* Perform Multiplications and store in destination buffer */ + *pOut++ = *px++ * coeff; + + /* Decrement the loop counter */ + blkCnt--; + } + + /* Load the coefficient value and + * increment the coefficient buffer for the next set of state values */ + coeff = *pCoeffs++; + + /* Read Index, from where the state buffer should be read, is calculated. */ + readIndex = ((int32_t) S->stateIndex - (int32_t) blockSize) - *pTapDelay++; + + /* Wraparound of readIndex */ + if (readIndex < 0) + { + readIndex += (int32_t) delaySize; + } + + /* Loop over the number of taps. */ + tapCnt = (uint32_t) numTaps - 2U; + + while (tapCnt > 0U) + { + + /* Working pointer for state buffer is updated */ + py = pState; + + /* blockSize samples are read from the state buffer */ + arm_circularRead_f32((int32_t *) py, delaySize, &readIndex, 1, + (int32_t *) pb, (int32_t *) pb, blockSize, 1, + blockSize); + + /* Working pointer for the scratch buffer */ + px = pb; + + /* Working pointer for destination buffer */ + pOut = pDst; + + /* Loop over the blockSize. Unroll by a factor of 4. + * Compute 4 MACS at a time. */ + blkCnt = blockSize >> 2U; + + while (blkCnt > 0U) + { + /* Perform Multiply-Accumulate */ + *pOut++ += *px++ * coeff; + *pOut++ += *px++ * coeff; + *pOut++ += *px++ * coeff; + *pOut++ += *px++ * coeff; + + /* Decrement the loop counter */ + blkCnt--; + } + + /* If the blockSize is not a multiple of 4, + * compute the remaining samples */ + blkCnt = blockSize % 0x4U; + + while (blkCnt > 0U) + { + /* Perform Multiply-Accumulate */ + *pOut++ += *px++ * coeff; + + /* Decrement the loop counter */ + blkCnt--; + } + + /* Load the coefficient value and + * increment the coefficient buffer for the next set of state values */ + coeff = *pCoeffs++; + + /* Read Index, from where the state buffer should be read, is calculated. */ + readIndex = ((int32_t) S->stateIndex - + (int32_t) blockSize) - *pTapDelay++; + + /* Wraparound of readIndex */ + if (readIndex < 0) + { + readIndex += (int32_t) delaySize; + } + + /* Decrement the tap loop counter */ + tapCnt--; + } + + /* Compute last tap without the final read of pTapDelay */ + + /* Working pointer for state buffer is updated */ + py = pState; + + /* blockSize samples are read from the state buffer */ + arm_circularRead_f32((int32_t *) py, delaySize, &readIndex, 1, + (int32_t *) pb, (int32_t *) pb, blockSize, 1, + blockSize); + + /* Working pointer for the scratch buffer */ + px = pb; + + /* Working pointer for destination buffer */ + pOut = pDst; + + /* Loop over the blockSize. Unroll by a factor of 4. + * Compute 4 MACS at a time. */ + blkCnt = blockSize >> 2U; + + while (blkCnt > 0U) + { + /* Perform Multiply-Accumulate */ + *pOut++ += *px++ * coeff; + *pOut++ += *px++ * coeff; + *pOut++ += *px++ * coeff; + *pOut++ += *px++ * coeff; + + /* Decrement the loop counter */ + blkCnt--; + } + + /* If the blockSize is not a multiple of 4, + * compute the remaining samples */ + blkCnt = blockSize % 0x4U; + + while (blkCnt > 0U) + { + /* Perform Multiply-Accumulate */ + *pOut++ += *px++ * coeff; + + /* Decrement the loop counter */ + blkCnt--; + } + +#else + +/* Run the below code for Cortex-M0 */ + + blkCnt = blockSize; + + while (blkCnt > 0U) + { + /* Perform Multiplications and store in destination buffer */ + *pOut++ = *px++ * coeff; + + /* Decrement the loop counter */ + blkCnt--; + } + + /* Load the coefficient value and + * increment the coefficient buffer for the next set of state values */ + coeff = *pCoeffs++; + + /* Read Index, from where the state buffer should be read, is calculated. */ + readIndex = ((int32_t) S->stateIndex - (int32_t) blockSize) - *pTapDelay++; + + /* Wraparound of readIndex */ + if (readIndex < 0) + { + readIndex += (int32_t) delaySize; + } + + /* Loop over the number of taps. */ + tapCnt = (uint32_t) numTaps - 2U; + + while (tapCnt > 0U) + { + + /* Working pointer for state buffer is updated */ + py = pState; + + /* blockSize samples are read from the state buffer */ + arm_circularRead_f32((int32_t *) py, delaySize, &readIndex, 1, + (int32_t *) pb, (int32_t *) pb, blockSize, 1, + blockSize); + + /* Working pointer for the scratch buffer */ + px = pb; + + /* Working pointer for destination buffer */ + pOut = pDst; + + blkCnt = blockSize; + + while (blkCnt > 0U) + { + /* Perform Multiply-Accumulate */ + *pOut++ += *px++ * coeff; + + /* Decrement the loop counter */ + blkCnt--; + } + + /* Load the coefficient value and + * increment the coefficient buffer for the next set of state values */ + coeff = *pCoeffs++; + + /* Read Index, from where the state buffer should be read, is calculated. */ + readIndex = + ((int32_t) S->stateIndex - (int32_t) blockSize) - *pTapDelay++; + + /* Wraparound of readIndex */ + if (readIndex < 0) + { + readIndex += (int32_t) delaySize; + } + + /* Decrement the tap loop counter */ + tapCnt--; + } + + /* Compute last tap without the final read of pTapDelay */ + + /* Working pointer for state buffer is updated */ + py = pState; + + /* blockSize samples are read from the state buffer */ + arm_circularRead_f32((int32_t *) py, delaySize, &readIndex, 1, + (int32_t *) pb, (int32_t *) pb, blockSize, 1, + blockSize); + + /* Working pointer for the scratch buffer */ + px = pb; + + /* Working pointer for destination buffer */ + pOut = pDst; + + blkCnt = blockSize; + + while (blkCnt > 0U) + { + /* Perform Multiply-Accumulate */ + *pOut++ += *px++ * coeff; + + /* Decrement the loop counter */ + blkCnt--; + } + +#endif /* #if defined (ARM_MATH_DSP) */ + +} + +/** + * @} end of FIR_Sparse group + */ diff --git a/fw/hid-dials/Drivers/CMSIS/DSP/Source/FilteringFunctions/arm_fir_sparse_init_f32.c b/fw/hid-dials/Drivers/CMSIS/DSP/Source/FilteringFunctions/arm_fir_sparse_init_f32.c new file mode 100644 index 0000000..191f8bb --- /dev/null +++ b/fw/hid-dials/Drivers/CMSIS/DSP/Source/FilteringFunctions/arm_fir_sparse_init_f32.c @@ -0,0 +1,95 @@ +/* ---------------------------------------------------------------------- + * Project: CMSIS DSP Library + * Title: arm_fir_sparse_init_f32.c + * Description: Floating-point sparse FIR filter initialization function + * + * $Date: 27. January 2017 + * $Revision: V.1.5.1 + * + * Target Processor: Cortex-M cores + * -------------------------------------------------------------------- */ +/* + * Copyright (C) 2010-2017 ARM Limited or its affiliates. All rights reserved. + * + * SPDX-License-Identifier: Apache-2.0 + * + * Licensed under the Apache License, Version 2.0 (the License); you may + * not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an AS IS BASIS, WITHOUT + * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ + +#include "arm_math.h" + +/** + * @ingroup groupFilters + */ + +/** + * @addtogroup FIR_Sparse + * @{ + */ + +/** + * @brief Initialization function for the floating-point sparse FIR filter. + * @param[in,out] *S points to an instance of the floating-point sparse FIR structure. + * @param[in] numTaps number of nonzero coefficients in the filter. + * @param[in] *pCoeffs points to the array of filter coefficients. + * @param[in] *pState points to the state buffer. + * @param[in] *pTapDelay points to the array of offset times. + * @param[in] maxDelay maximum offset time supported. + * @param[in] blockSize number of samples that will be processed per block. + * @return none + * + * Description: + * \par + * pCoeffs holds the filter coefficients and has length numTaps. + * pState holds the filter's state variables and must be of length + * maxDelay + blockSize, where maxDelay + * is the maximum number of delay line values. + * blockSize is the + * number of samples processed by the arm_fir_sparse_f32() function. + */ + +void arm_fir_sparse_init_f32( + arm_fir_sparse_instance_f32 * S, + uint16_t numTaps, + float32_t * pCoeffs, + float32_t * pState, + int32_t * pTapDelay, + uint16_t maxDelay, + uint32_t blockSize) +{ + /* Assign filter taps */ + S->numTaps = numTaps; + + /* Assign coefficient pointer */ + S->pCoeffs = pCoeffs; + + /* Assign TapDelay pointer */ + S->pTapDelay = pTapDelay; + + /* Assign MaxDelay */ + S->maxDelay = maxDelay; + + /* reset the stateIndex to 0 */ + S->stateIndex = 0U; + + /* Clear state buffer and size is always maxDelay + blockSize */ + memset(pState, 0, (maxDelay + blockSize) * sizeof(float32_t)); + + /* Assign state pointer */ + S->pState = pState; + +} + +/** + * @} end of FIR_Sparse group + */ diff --git a/fw/hid-dials/Drivers/CMSIS/DSP/Source/FilteringFunctions/arm_fir_sparse_init_q15.c b/fw/hid-dials/Drivers/CMSIS/DSP/Source/FilteringFunctions/arm_fir_sparse_init_q15.c new file mode 100644 index 0000000..297c5fa --- /dev/null +++ b/fw/hid-dials/Drivers/CMSIS/DSP/Source/FilteringFunctions/arm_fir_sparse_init_q15.c @@ -0,0 +1,95 @@ +/* ---------------------------------------------------------------------- + * Project: CMSIS DSP Library + * Title: arm_fir_sparse_init_q15.c + * Description: Q15 sparse FIR filter initialization function + * + * $Date: 27. January 2017 + * $Revision: V.1.5.1 + * + * Target Processor: Cortex-M cores + * -------------------------------------------------------------------- */ +/* + * Copyright (C) 2010-2017 ARM Limited or its affiliates. All rights reserved. + * + * SPDX-License-Identifier: Apache-2.0 + * + * Licensed under the Apache License, Version 2.0 (the License); you may + * not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an AS IS BASIS, WITHOUT + * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ + +#include "arm_math.h" + +/** + * @ingroup groupFilters + */ + +/** + * @addtogroup FIR_Sparse + * @{ + */ + +/** + * @brief Initialization function for the Q15 sparse FIR filter. + * @param[in,out] *S points to an instance of the Q15 sparse FIR structure. + * @param[in] numTaps number of nonzero coefficients in the filter. + * @param[in] *pCoeffs points to the array of filter coefficients. + * @param[in] *pState points to the state buffer. + * @param[in] *pTapDelay points to the array of offset times. + * @param[in] maxDelay maximum offset time supported. + * @param[in] blockSize number of samples that will be processed per block. + * @return none + * + * Description: + * \par + * pCoeffs holds the filter coefficients and has length numTaps. + * pState holds the filter's state variables and must be of length + * maxDelay + blockSize, where maxDelay + * is the maximum number of delay line values. + * blockSize is the + * number of words processed by arm_fir_sparse_q15() function. + */ + +void arm_fir_sparse_init_q15( + arm_fir_sparse_instance_q15 * S, + uint16_t numTaps, + q15_t * pCoeffs, + q15_t * pState, + int32_t * pTapDelay, + uint16_t maxDelay, + uint32_t blockSize) +{ + /* Assign filter taps */ + S->numTaps = numTaps; + + /* Assign coefficient pointer */ + S->pCoeffs = pCoeffs; + + /* Assign TapDelay pointer */ + S->pTapDelay = pTapDelay; + + /* Assign MaxDelay */ + S->maxDelay = maxDelay; + + /* reset the stateIndex to 0 */ + S->stateIndex = 0U; + + /* Clear state buffer and size is always maxDelay + blockSize */ + memset(pState, 0, (maxDelay + blockSize) * sizeof(q15_t)); + + /* Assign state pointer */ + S->pState = pState; + +} + +/** + * @} end of FIR_Sparse group + */ diff --git a/fw/hid-dials/Drivers/CMSIS/DSP/Source/FilteringFunctions/arm_fir_sparse_init_q31.c b/fw/hid-dials/Drivers/CMSIS/DSP/Source/FilteringFunctions/arm_fir_sparse_init_q31.c new file mode 100644 index 0000000..3eb8d47 --- /dev/null +++ b/fw/hid-dials/Drivers/CMSIS/DSP/Source/FilteringFunctions/arm_fir_sparse_init_q31.c @@ -0,0 +1,94 @@ +/* ---------------------------------------------------------------------- + * Project: CMSIS DSP Library + * Title: arm_fir_sparse_init_q31.c + * Description: Q31 sparse FIR filter initialization function + * + * $Date: 27. January 2017 + * $Revision: V.1.5.1 + * + * Target Processor: Cortex-M cores + * -------------------------------------------------------------------- */ +/* + * Copyright (C) 2010-2017 ARM Limited or its affiliates. All rights reserved. + * + * SPDX-License-Identifier: Apache-2.0 + * + * Licensed under the Apache License, Version 2.0 (the License); you may + * not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an AS IS BASIS, WITHOUT + * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ + +#include "arm_math.h" + +/** + * @ingroup groupFilters + */ + +/** + * @addtogroup FIR_Sparse + * @{ + */ + +/** + * @brief Initialization function for the Q31 sparse FIR filter. + * @param[in,out] *S points to an instance of the Q31 sparse FIR structure. + * @param[in] numTaps number of nonzero coefficients in the filter. + * @param[in] *pCoeffs points to the array of filter coefficients. + * @param[in] *pState points to the state buffer. + * @param[in] *pTapDelay points to the array of offset times. + * @param[in] maxDelay maximum offset time supported. + * @param[in] blockSize number of samples that will be processed per block. + * @return none + * + * Description: + * \par + * pCoeffs holds the filter coefficients and has length numTaps. + * pState holds the filter's state variables and must be of length + * maxDelay + blockSize, where maxDelay + * is the maximum number of delay line values. + * blockSize is the number of words processed by arm_fir_sparse_q31() function. + */ + +void arm_fir_sparse_init_q31( + arm_fir_sparse_instance_q31 * S, + uint16_t numTaps, + q31_t * pCoeffs, + q31_t * pState, + int32_t * pTapDelay, + uint16_t maxDelay, + uint32_t blockSize) +{ + /* Assign filter taps */ + S->numTaps = numTaps; + + /* Assign coefficient pointer */ + S->pCoeffs = pCoeffs; + + /* Assign TapDelay pointer */ + S->pTapDelay = pTapDelay; + + /* Assign MaxDelay */ + S->maxDelay = maxDelay; + + /* reset the stateIndex to 0 */ + S->stateIndex = 0U; + + /* Clear state buffer and size is always maxDelay + blockSize */ + memset(pState, 0, (maxDelay + blockSize) * sizeof(q31_t)); + + /* Assign state pointer */ + S->pState = pState; + +} + +/** + * @} end of FIR_Sparse group + */ diff --git a/fw/hid-dials/Drivers/CMSIS/DSP/Source/FilteringFunctions/arm_fir_sparse_init_q7.c b/fw/hid-dials/Drivers/CMSIS/DSP/Source/FilteringFunctions/arm_fir_sparse_init_q7.c new file mode 100644 index 0000000..c2cb7b0 --- /dev/null +++ b/fw/hid-dials/Drivers/CMSIS/DSP/Source/FilteringFunctions/arm_fir_sparse_init_q7.c @@ -0,0 +1,95 @@ +/* ---------------------------------------------------------------------- + * Project: CMSIS DSP Library + * Title: arm_fir_sparse_init_q7.c + * Description: Q7 sparse FIR filter initialization function + * + * $Date: 27. January 2017 + * $Revision: V.1.5.1 + * + * Target Processor: Cortex-M cores + * -------------------------------------------------------------------- */ +/* + * Copyright (C) 2010-2017 ARM Limited or its affiliates. All rights reserved. + * + * SPDX-License-Identifier: Apache-2.0 + * + * Licensed under the Apache License, Version 2.0 (the License); you may + * not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an AS IS BASIS, WITHOUT + * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ + +#include "arm_math.h" + +/** + * @ingroup groupFilters + */ + +/** + * @addtogroup FIR_Sparse + * @{ + */ + +/** + * @brief Initialization function for the Q7 sparse FIR filter. + * @param[in,out] *S points to an instance of the Q7 sparse FIR structure. + * @param[in] numTaps number of nonzero coefficients in the filter. + * @param[in] *pCoeffs points to the array of filter coefficients. + * @param[in] *pState points to the state buffer. + * @param[in] *pTapDelay points to the array of offset times. + * @param[in] maxDelay maximum offset time supported. + * @param[in] blockSize number of samples that will be processed per block. + * @return none + * + * Description: + * \par + * pCoeffs holds the filter coefficients and has length numTaps. + * pState holds the filter's state variables and must be of length + * maxDelay + blockSize, where maxDelay + * is the maximum number of delay line values. + * blockSize is the + * number of samples processed by the arm_fir_sparse_q7() function. + */ + +void arm_fir_sparse_init_q7( + arm_fir_sparse_instance_q7 * S, + uint16_t numTaps, + q7_t * pCoeffs, + q7_t * pState, + int32_t * pTapDelay, + uint16_t maxDelay, + uint32_t blockSize) +{ + /* Assign filter taps */ + S->numTaps = numTaps; + + /* Assign coefficient pointer */ + S->pCoeffs = pCoeffs; + + /* Assign TapDelay pointer */ + S->pTapDelay = pTapDelay; + + /* Assign MaxDelay */ + S->maxDelay = maxDelay; + + /* reset the stateIndex to 0 */ + S->stateIndex = 0U; + + /* Clear state buffer and size is always maxDelay + blockSize */ + memset(pState, 0, (maxDelay + blockSize) * sizeof(q7_t)); + + /* Assign state pointer */ + S->pState = pState; + +} + +/** + * @} end of FIR_Sparse group + */ diff --git a/fw/hid-dials/Drivers/CMSIS/DSP/Source/FilteringFunctions/arm_fir_sparse_q15.c b/fw/hid-dials/Drivers/CMSIS/DSP/Source/FilteringFunctions/arm_fir_sparse_q15.c new file mode 100644 index 0000000..663b6e0 --- /dev/null +++ b/fw/hid-dials/Drivers/CMSIS/DSP/Source/FilteringFunctions/arm_fir_sparse_q15.c @@ -0,0 +1,470 @@ +/* ---------------------------------------------------------------------- + * Project: CMSIS DSP Library + * Title: arm_fir_sparse_q15.c + * Description: Q15 sparse FIR filter processing function + * + * $Date: 27. January 2017 + * $Revision: V.1.5.1 + * + * Target Processor: Cortex-M cores + * -------------------------------------------------------------------- */ +/* + * Copyright (C) 2010-2017 ARM Limited or its affiliates. All rights reserved. + * + * SPDX-License-Identifier: Apache-2.0 + * + * Licensed under the Apache License, Version 2.0 (the License); you may + * not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an AS IS BASIS, WITHOUT + * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ + +#include "arm_math.h" + +/** + * @addtogroup FIR_Sparse + * @{ + */ + +/** + * @brief Processing function for the Q15 sparse FIR filter. + * @param[in] *S points to an instance of the Q15 sparse FIR structure. + * @param[in] *pSrc points to the block of input data. + * @param[out] *pDst points to the block of output data + * @param[in] *pScratchIn points to a temporary buffer of size blockSize. + * @param[in] *pScratchOut points to a temporary buffer of size blockSize. + * @param[in] blockSize number of input samples to process per call. + * @return none. + * + * Scaling and Overflow Behavior: + * \par + * The function is implemented using an internal 32-bit accumulator. + * The 1.15 x 1.15 multiplications yield a 2.30 result and these are added to a 2.30 accumulator. + * Thus the full precision of the multiplications is maintained but there is only a single guard bit in the accumulator. + * If the accumulator result overflows it will wrap around rather than saturate. + * After all multiply-accumulates are performed, the 2.30 accumulator is truncated to 2.15 format and then saturated to 1.15 format. + * In order to avoid overflows the input signal or coefficients must be scaled down by log2(numTaps) bits. + */ + + +void arm_fir_sparse_q15( + arm_fir_sparse_instance_q15 * S, + q15_t * pSrc, + q15_t * pDst, + q15_t * pScratchIn, + q31_t * pScratchOut, + uint32_t blockSize) +{ + + q15_t *pState = S->pState; /* State pointer */ + q15_t *pIn = pSrc; /* Working pointer for input */ + q15_t *pOut = pDst; /* Working pointer for output */ + q15_t *pCoeffs = S->pCoeffs; /* Coefficient pointer */ + q15_t *px; /* Temporary pointers for scratch buffer */ + q15_t *pb = pScratchIn; /* Temporary pointers for scratch buffer */ + q15_t *py = pState; /* Temporary pointers for state buffer */ + int32_t *pTapDelay = S->pTapDelay; /* Pointer to the array containing offset of the non-zero tap values. */ + uint32_t delaySize = S->maxDelay + blockSize; /* state length */ + uint16_t numTaps = S->numTaps; /* Filter order */ + int32_t readIndex; /* Read index of the state buffer */ + uint32_t tapCnt, blkCnt; /* loop counters */ + q15_t coeff = *pCoeffs++; /* Read the first coefficient value */ + q31_t *pScr2 = pScratchOut; /* Working pointer for pScratchOut */ + + +#if defined (ARM_MATH_DSP) + + /* Run the below code for Cortex-M4 and Cortex-M3 */ + + q31_t in1, in2; /* Temporary variables */ + + + /* BlockSize of Input samples are copied into the state buffer */ + /* StateIndex points to the starting position to write in the state buffer */ + arm_circularWrite_q15(py, delaySize, &S->stateIndex, 1, pIn, 1, blockSize); + + /* Loop over the number of taps. */ + tapCnt = numTaps; + + /* Read Index, from where the state buffer should be read, is calculated. */ + readIndex = (S->stateIndex - blockSize) - *pTapDelay++; + + /* Wraparound of readIndex */ + if (readIndex < 0) + { + readIndex += (int32_t) delaySize; + } + + /* Working pointer for state buffer is updated */ + py = pState; + + /* blockSize samples are read from the state buffer */ + arm_circularRead_q15(py, delaySize, &readIndex, 1, + pb, pb, blockSize, 1, blockSize); + + /* Working pointer for the scratch buffer of state values */ + px = pb; + + /* Working pointer for scratch buffer of output values */ + pScratchOut = pScr2; + + /* Loop over the blockSize. Unroll by a factor of 4. + * Compute 4 multiplications at a time. */ + blkCnt = blockSize >> 2; + + while (blkCnt > 0U) + { + /* Perform multiplication and store in the scratch buffer */ + *pScratchOut++ = ((q31_t) * px++ * coeff); + *pScratchOut++ = ((q31_t) * px++ * coeff); + *pScratchOut++ = ((q31_t) * px++ * coeff); + *pScratchOut++ = ((q31_t) * px++ * coeff); + + /* Decrement the loop counter */ + blkCnt--; + } + + /* If the blockSize is not a multiple of 4, + * compute the remaining samples */ + blkCnt = blockSize % 0x4U; + + while (blkCnt > 0U) + { + /* Perform multiplication and store in the scratch buffer */ + *pScratchOut++ = ((q31_t) * px++ * coeff); + + /* Decrement the loop counter */ + blkCnt--; + } + + /* Load the coefficient value and + * increment the coefficient buffer for the next set of state values */ + coeff = *pCoeffs++; + + /* Read Index, from where the state buffer should be read, is calculated. */ + readIndex = (S->stateIndex - blockSize) - *pTapDelay++; + + /* Wraparound of readIndex */ + if (readIndex < 0) + { + readIndex += (int32_t) delaySize; + } + + /* Loop over the number of taps. */ + tapCnt = (uint32_t) numTaps - 2U; + + while (tapCnt > 0U) + { + /* Working pointer for state buffer is updated */ + py = pState; + + /* blockSize samples are read from the state buffer */ + arm_circularRead_q15(py, delaySize, &readIndex, 1, + pb, pb, blockSize, 1, blockSize); + + /* Working pointer for the scratch buffer of state values */ + px = pb; + + /* Working pointer for scratch buffer of output values */ + pScratchOut = pScr2; + + /* Loop over the blockSize. Unroll by a factor of 4. + * Compute 4 MACS at a time. */ + blkCnt = blockSize >> 2; + + while (blkCnt > 0U) + { + /* Perform Multiply-Accumulate */ + *pScratchOut++ += (q31_t) * px++ * coeff; + *pScratchOut++ += (q31_t) * px++ * coeff; + *pScratchOut++ += (q31_t) * px++ * coeff; + *pScratchOut++ += (q31_t) * px++ * coeff; + + /* Decrement the loop counter */ + blkCnt--; + } + + /* If the blockSize is not a multiple of 4, + * compute the remaining samples */ + blkCnt = blockSize % 0x4U; + + while (blkCnt > 0U) + { + /* Perform Multiply-Accumulate */ + *pScratchOut++ += (q31_t) * px++ * coeff; + + /* Decrement the loop counter */ + blkCnt--; + } + + /* Load the coefficient value and + * increment the coefficient buffer for the next set of state values */ + coeff = *pCoeffs++; + + /* Read Index, from where the state buffer should be read, is calculated. */ + readIndex = (S->stateIndex - blockSize) - *pTapDelay++; + + /* Wraparound of readIndex */ + if (readIndex < 0) + { + readIndex += (int32_t) delaySize; + } + + /* Decrement the tap loop counter */ + tapCnt--; + } + + /* Compute last tap without the final read of pTapDelay */ + + /* Working pointer for state buffer is updated */ + py = pState; + + /* blockSize samples are read from the state buffer */ + arm_circularRead_q15(py, delaySize, &readIndex, 1, + pb, pb, blockSize, 1, blockSize); + + /* Working pointer for the scratch buffer of state values */ + px = pb; + + /* Working pointer for scratch buffer of output values */ + pScratchOut = pScr2; + + /* Loop over the blockSize. Unroll by a factor of 4. + * Compute 4 MACS at a time. */ + blkCnt = blockSize >> 2; + + while (blkCnt > 0U) + { + /* Perform Multiply-Accumulate */ + *pScratchOut++ += (q31_t) * px++ * coeff; + *pScratchOut++ += (q31_t) * px++ * coeff; + *pScratchOut++ += (q31_t) * px++ * coeff; + *pScratchOut++ += (q31_t) * px++ * coeff; + + /* Decrement the loop counter */ + blkCnt--; + } + + /* If the blockSize is not a multiple of 4, + * compute the remaining samples */ + blkCnt = blockSize % 0x4U; + + while (blkCnt > 0U) + { + /* Perform Multiply-Accumulate */ + *pScratchOut++ += (q31_t) * px++ * coeff; + + /* Decrement the loop counter */ + blkCnt--; + } + + /* All the output values are in pScratchOut buffer. + Convert them into 1.15 format, saturate and store in the destination buffer. */ + /* Loop over the blockSize. */ + blkCnt = blockSize >> 2; + + while (blkCnt > 0U) + { + in1 = *pScr2++; + in2 = *pScr2++; + +#ifndef ARM_MATH_BIG_ENDIAN + + *__SIMD32(pOut)++ = + __PKHBT((q15_t) __SSAT(in1 >> 15, 16), (q15_t) __SSAT(in2 >> 15, 16), + 16); + +#else + *__SIMD32(pOut)++ = + __PKHBT((q15_t) __SSAT(in2 >> 15, 16), (q15_t) __SSAT(in1 >> 15, 16), + 16); + +#endif /* #ifndef ARM_MATH_BIG_ENDIAN */ + + in1 = *pScr2++; + + in2 = *pScr2++; + +#ifndef ARM_MATH_BIG_ENDIAN + + *__SIMD32(pOut)++ = + __PKHBT((q15_t) __SSAT(in1 >> 15, 16), (q15_t) __SSAT(in2 >> 15, 16), + 16); + +#else + + *__SIMD32(pOut)++ = + __PKHBT((q15_t) __SSAT(in2 >> 15, 16), (q15_t) __SSAT(in1 >> 15, 16), + 16); + +#endif /* #ifndef ARM_MATH_BIG_ENDIAN */ + + + blkCnt--; + + } + + /* If the blockSize is not a multiple of 4, + remaining samples are processed in the below loop */ + blkCnt = blockSize % 0x4U; + + while (blkCnt > 0U) + { + *pOut++ = (q15_t) __SSAT(*pScr2++ >> 15, 16); + blkCnt--; + } + +#else + + /* Run the below code for Cortex-M0 */ + + /* BlockSize of Input samples are copied into the state buffer */ + /* StateIndex points to the starting position to write in the state buffer */ + arm_circularWrite_q15(py, delaySize, &S->stateIndex, 1, pIn, 1, blockSize); + + /* Loop over the number of taps. */ + tapCnt = numTaps; + + /* Read Index, from where the state buffer should be read, is calculated. */ + readIndex = (S->stateIndex - blockSize) - *pTapDelay++; + + /* Wraparound of readIndex */ + if (readIndex < 0) + { + readIndex += (int32_t) delaySize; + } + + /* Working pointer for state buffer is updated */ + py = pState; + + /* blockSize samples are read from the state buffer */ + arm_circularRead_q15(py, delaySize, &readIndex, 1, + pb, pb, blockSize, 1, blockSize); + + /* Working pointer for the scratch buffer of state values */ + px = pb; + + /* Working pointer for scratch buffer of output values */ + pScratchOut = pScr2; + + blkCnt = blockSize; + + while (blkCnt > 0U) + { + /* Perform multiplication and store in the scratch buffer */ + *pScratchOut++ = ((q31_t) * px++ * coeff); + + /* Decrement the loop counter */ + blkCnt--; + } + + /* Load the coefficient value and + * increment the coefficient buffer for the next set of state values */ + coeff = *pCoeffs++; + + /* Read Index, from where the state buffer should be read, is calculated. */ + readIndex = (S->stateIndex - blockSize) - *pTapDelay++; + + /* Wraparound of readIndex */ + if (readIndex < 0) + { + readIndex += (int32_t) delaySize; + } + + /* Loop over the number of taps. */ + tapCnt = (uint32_t) numTaps - 2U; + + while (tapCnt > 0U) + { + /* Working pointer for state buffer is updated */ + py = pState; + + /* blockSize samples are read from the state buffer */ + arm_circularRead_q15(py, delaySize, &readIndex, 1, + pb, pb, blockSize, 1, blockSize); + + /* Working pointer for the scratch buffer of state values */ + px = pb; + + /* Working pointer for scratch buffer of output values */ + pScratchOut = pScr2; + + blkCnt = blockSize; + + while (blkCnt > 0U) + { + /* Perform Multiply-Accumulate */ + *pScratchOut++ += (q31_t) * px++ * coeff; + + /* Decrement the loop counter */ + blkCnt--; + } + + /* Load the coefficient value and + * increment the coefficient buffer for the next set of state values */ + coeff = *pCoeffs++; + + /* Read Index, from where the state buffer should be read, is calculated. */ + readIndex = (S->stateIndex - blockSize) - *pTapDelay++; + + /* Wraparound of readIndex */ + if (readIndex < 0) + { + readIndex += (int32_t) delaySize; + } + + /* Decrement the tap loop counter */ + tapCnt--; + } + + /* Compute last tap without the final read of pTapDelay */ + + /* Working pointer for state buffer is updated */ + py = pState; + + /* blockSize samples are read from the state buffer */ + arm_circularRead_q15(py, delaySize, &readIndex, 1, + pb, pb, blockSize, 1, blockSize); + + /* Working pointer for the scratch buffer of state values */ + px = pb; + + /* Working pointer for scratch buffer of output values */ + pScratchOut = pScr2; + + blkCnt = blockSize; + + while (blkCnt > 0U) + { + /* Perform Multiply-Accumulate */ + *pScratchOut++ += (q31_t) * px++ * coeff; + + /* Decrement the loop counter */ + blkCnt--; + } + + /* All the output values are in pScratchOut buffer. + Convert them into 1.15 format, saturate and store in the destination buffer. */ + /* Loop over the blockSize. */ + blkCnt = blockSize; + + while (blkCnt > 0U) + { + *pOut++ = (q15_t) __SSAT(*pScr2++ >> 15, 16); + blkCnt--; + } + +#endif /* #if defined (ARM_MATH_DSP) */ + +} + +/** + * @} end of FIR_Sparse group + */ diff --git a/fw/hid-dials/Drivers/CMSIS/DSP/Source/FilteringFunctions/arm_fir_sparse_q31.c b/fw/hid-dials/Drivers/CMSIS/DSP/Source/FilteringFunctions/arm_fir_sparse_q31.c new file mode 100644 index 0000000..3fd3da0 --- /dev/null +++ b/fw/hid-dials/Drivers/CMSIS/DSP/Source/FilteringFunctions/arm_fir_sparse_q31.c @@ -0,0 +1,450 @@ +/* ---------------------------------------------------------------------- + * Project: CMSIS DSP Library + * Title: arm_fir_sparse_q31.c + * Description: Q31 sparse FIR filter processing function + * + * $Date: 27. January 2017 + * $Revision: V.1.5.1 + * + * Target Processor: Cortex-M cores + * -------------------------------------------------------------------- */ +/* + * Copyright (C) 2010-2017 ARM Limited or its affiliates. All rights reserved. + * + * SPDX-License-Identifier: Apache-2.0 + * + * Licensed under the Apache License, Version 2.0 (the License); you may + * not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an AS IS BASIS, WITHOUT + * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ + +#include "arm_math.h" + + +/** + * @addtogroup FIR_Sparse + * @{ + */ + +/** + * @brief Processing function for the Q31 sparse FIR filter. + * @param[in] *S points to an instance of the Q31 sparse FIR structure. + * @param[in] *pSrc points to the block of input data. + * @param[out] *pDst points to the block of output data + * @param[in] *pScratchIn points to a temporary buffer of size blockSize. + * @param[in] blockSize number of input samples to process per call. + * @return none. + * + * Scaling and Overflow Behavior: + * \par + * The function is implemented using an internal 32-bit accumulator. + * The 1.31 x 1.31 multiplications are truncated to 2.30 format. + * This leads to loss of precision on the intermediate multiplications and provides only a single guard bit. + * If the accumulator result overflows, it wraps around rather than saturate. + * In order to avoid overflows the input signal or coefficients must be scaled down by log2(numTaps) bits. + */ + +void arm_fir_sparse_q31( + arm_fir_sparse_instance_q31 * S, + q31_t * pSrc, + q31_t * pDst, + q31_t * pScratchIn, + uint32_t blockSize) +{ + + q31_t *pState = S->pState; /* State pointer */ + q31_t *pCoeffs = S->pCoeffs; /* Coefficient pointer */ + q31_t *px; /* Scratch buffer pointer */ + q31_t *py = pState; /* Temporary pointers for state buffer */ + q31_t *pb = pScratchIn; /* Temporary pointers for scratch buffer */ + q31_t *pOut; /* Destination pointer */ + q63_t out; /* Temporary output variable */ + int32_t *pTapDelay = S->pTapDelay; /* Pointer to the array containing offset of the non-zero tap values. */ + uint32_t delaySize = S->maxDelay + blockSize; /* state length */ + uint16_t numTaps = S->numTaps; /* Filter order */ + int32_t readIndex; /* Read index of the state buffer */ + uint32_t tapCnt, blkCnt; /* loop counters */ + q31_t coeff = *pCoeffs++; /* Read the first coefficient value */ + q31_t in; + + + /* BlockSize of Input samples are copied into the state buffer */ + /* StateIndex points to the starting position to write in the state buffer */ + arm_circularWrite_f32((int32_t *) py, delaySize, &S->stateIndex, 1, + (int32_t *) pSrc, 1, blockSize); + + /* Read Index, from where the state buffer should be read, is calculated. */ + readIndex = (int32_t) (S->stateIndex - blockSize) - *pTapDelay++; + + /* Wraparound of readIndex */ + if (readIndex < 0) + { + readIndex += (int32_t) delaySize; + } + + /* Working pointer for state buffer is updated */ + py = pState; + + /* blockSize samples are read from the state buffer */ + arm_circularRead_f32((int32_t *) py, delaySize, &readIndex, 1, + (int32_t *) pb, (int32_t *) pb, blockSize, 1, + blockSize); + + /* Working pointer for the scratch buffer of state values */ + px = pb; + + /* Working pointer for scratch buffer of output values */ + pOut = pDst; + + +#if defined (ARM_MATH_DSP) + + /* Run the below code for Cortex-M4 and Cortex-M3 */ + + /* Loop over the blockSize. Unroll by a factor of 4. + * Compute 4 Multiplications at a time. */ + blkCnt = blockSize >> 2; + + while (blkCnt > 0U) + { + /* Perform Multiplications and store in the destination buffer */ + *pOut++ = (q31_t) (((q63_t) * px++ * coeff) >> 32); + *pOut++ = (q31_t) (((q63_t) * px++ * coeff) >> 32); + *pOut++ = (q31_t) (((q63_t) * px++ * coeff) >> 32); + *pOut++ = (q31_t) (((q63_t) * px++ * coeff) >> 32); + + /* Decrement the loop counter */ + blkCnt--; + } + + /* If the blockSize is not a multiple of 4, + * compute the remaining samples */ + blkCnt = blockSize % 0x4U; + + while (blkCnt > 0U) + { + /* Perform Multiplications and store in the destination buffer */ + *pOut++ = (q31_t) (((q63_t) * px++ * coeff) >> 32); + + /* Decrement the loop counter */ + blkCnt--; + } + + /* Load the coefficient value and + * increment the coefficient buffer for the next set of state values */ + coeff = *pCoeffs++; + + /* Read Index, from where the state buffer should be read, is calculated. */ + readIndex = (int32_t) (S->stateIndex - blockSize) - *pTapDelay++; + + /* Wraparound of readIndex */ + if (readIndex < 0) + { + readIndex += (int32_t) delaySize; + } + + /* Loop over the number of taps. */ + tapCnt = (uint32_t) numTaps - 2U; + + while (tapCnt > 0U) + { + /* Working pointer for state buffer is updated */ + py = pState; + + /* blockSize samples are read from the state buffer */ + arm_circularRead_f32((int32_t *) py, delaySize, &readIndex, 1, + (int32_t *) pb, (int32_t *) pb, blockSize, 1, + blockSize); + + /* Working pointer for the scratch buffer of state values */ + px = pb; + + /* Working pointer for scratch buffer of output values */ + pOut = pDst; + + /* Loop over the blockSize. Unroll by a factor of 4. + * Compute 4 MACS at a time. */ + blkCnt = blockSize >> 2; + + while (blkCnt > 0U) + { + out = *pOut; + out += ((q63_t) * px++ * coeff) >> 32; + *pOut++ = (q31_t) (out); + + out = *pOut; + out += ((q63_t) * px++ * coeff) >> 32; + *pOut++ = (q31_t) (out); + + out = *pOut; + out += ((q63_t) * px++ * coeff) >> 32; + *pOut++ = (q31_t) (out); + + out = *pOut; + out += ((q63_t) * px++ * coeff) >> 32; + *pOut++ = (q31_t) (out); + + /* Decrement the loop counter */ + blkCnt--; + } + + /* If the blockSize is not a multiple of 4, + * compute the remaining samples */ + blkCnt = blockSize % 0x4U; + + while (blkCnt > 0U) + { + /* Perform Multiply-Accumulate */ + out = *pOut; + out += ((q63_t) * px++ * coeff) >> 32; + *pOut++ = (q31_t) (out); + + /* Decrement the loop counter */ + blkCnt--; + } + + /* Load the coefficient value and + * increment the coefficient buffer for the next set of state values */ + coeff = *pCoeffs++; + + /* Read Index, from where the state buffer should be read, is calculated. */ + readIndex = (int32_t) (S->stateIndex - blockSize) - *pTapDelay++; + + /* Wraparound of readIndex */ + if (readIndex < 0) + { + readIndex += (int32_t) delaySize; + } + + /* Decrement the tap loop counter */ + tapCnt--; + } + + /* Compute last tap without the final read of pTapDelay */ + + /* Working pointer for state buffer is updated */ + py = pState; + + /* blockSize samples are read from the state buffer */ + arm_circularRead_f32((int32_t *) py, delaySize, &readIndex, 1, + (int32_t *) pb, (int32_t *) pb, blockSize, 1, + blockSize); + + /* Working pointer for the scratch buffer of state values */ + px = pb; + + /* Working pointer for scratch buffer of output values */ + pOut = pDst; + + /* Loop over the blockSize. Unroll by a factor of 4. + * Compute 4 MACS at a time. */ + blkCnt = blockSize >> 2; + + while (blkCnt > 0U) + { + out = *pOut; + out += ((q63_t) * px++ * coeff) >> 32; + *pOut++ = (q31_t) (out); + + out = *pOut; + out += ((q63_t) * px++ * coeff) >> 32; + *pOut++ = (q31_t) (out); + + out = *pOut; + out += ((q63_t) * px++ * coeff) >> 32; + *pOut++ = (q31_t) (out); + + out = *pOut; + out += ((q63_t) * px++ * coeff) >> 32; + *pOut++ = (q31_t) (out); + + /* Decrement the loop counter */ + blkCnt--; + } + + /* If the blockSize is not a multiple of 4, + * compute the remaining samples */ + blkCnt = blockSize % 0x4U; + + while (blkCnt > 0U) + { + /* Perform Multiply-Accumulate */ + out = *pOut; + out += ((q63_t) * px++ * coeff) >> 32; + *pOut++ = (q31_t) (out); + + /* Decrement the loop counter */ + blkCnt--; + } + + /* Working output pointer is updated */ + pOut = pDst; + + /* Output is converted into 1.31 format. */ + /* Loop over the blockSize. Unroll by a factor of 4. + * process 4 output samples at a time. */ + blkCnt = blockSize >> 2; + + while (blkCnt > 0U) + { + in = *pOut << 1; + *pOut++ = in; + in = *pOut << 1; + *pOut++ = in; + in = *pOut << 1; + *pOut++ = in; + in = *pOut << 1; + *pOut++ = in; + + /* Decrement the loop counter */ + blkCnt--; + } + + /* If the blockSize is not a multiple of 4, + * process the remaining output samples */ + blkCnt = blockSize % 0x4U; + + while (blkCnt > 0U) + { + in = *pOut << 1; + *pOut++ = in; + + /* Decrement the loop counter */ + blkCnt--; + } + +#else + + /* Run the below code for Cortex-M0 */ + blkCnt = blockSize; + + while (blkCnt > 0U) + { + /* Perform Multiplications and store in the destination buffer */ + *pOut++ = (q31_t) (((q63_t) * px++ * coeff) >> 32); + + /* Decrement the loop counter */ + blkCnt--; + } + + /* Load the coefficient value and + * increment the coefficient buffer for the next set of state values */ + coeff = *pCoeffs++; + + /* Read Index, from where the state buffer should be read, is calculated. */ + readIndex = (int32_t) (S->stateIndex - blockSize) - *pTapDelay++; + + /* Wraparound of readIndex */ + if (readIndex < 0) + { + readIndex += (int32_t) delaySize; + } + + /* Loop over the number of taps. */ + tapCnt = (uint32_t) numTaps - 2U; + + while (tapCnt > 0U) + { + /* Working pointer for state buffer is updated */ + py = pState; + + /* blockSize samples are read from the state buffer */ + arm_circularRead_f32((int32_t *) py, delaySize, &readIndex, 1, + (int32_t *) pb, (int32_t *) pb, blockSize, 1, + blockSize); + + /* Working pointer for the scratch buffer of state values */ + px = pb; + + /* Working pointer for scratch buffer of output values */ + pOut = pDst; + + blkCnt = blockSize; + + while (blkCnt > 0U) + { + /* Perform Multiply-Accumulate */ + out = *pOut; + out += ((q63_t) * px++ * coeff) >> 32; + *pOut++ = (q31_t) (out); + + /* Decrement the loop counter */ + blkCnt--; + } + + /* Load the coefficient value and + * increment the coefficient buffer for the next set of state values */ + coeff = *pCoeffs++; + + /* Read Index, from where the state buffer should be read, is calculated. */ + readIndex = (int32_t) (S->stateIndex - blockSize) - *pTapDelay++; + + /* Wraparound of readIndex */ + if (readIndex < 0) + { + readIndex += (int32_t) delaySize; + } + + /* Decrement the tap loop counter */ + tapCnt--; + } + + /* Compute last tap without the final read of pTapDelay */ + + /* Working pointer for state buffer is updated */ + py = pState; + + /* blockSize samples are read from the state buffer */ + arm_circularRead_f32((int32_t *) py, delaySize, &readIndex, 1, + (int32_t *) pb, (int32_t *) pb, blockSize, 1, + blockSize); + + /* Working pointer for the scratch buffer of state values */ + px = pb; + + /* Working pointer for scratch buffer of output values */ + pOut = pDst; + + blkCnt = blockSize; + + while (blkCnt > 0U) + { + /* Perform Multiply-Accumulate */ + out = *pOut; + out += ((q63_t) * px++ * coeff) >> 32; + *pOut++ = (q31_t) (out); + + /* Decrement the loop counter */ + blkCnt--; + } + + /* Working output pointer is updated */ + pOut = pDst; + + /* Output is converted into 1.31 format. */ + blkCnt = blockSize; + + while (blkCnt > 0U) + { + in = *pOut << 1; + *pOut++ = in; + + /* Decrement the loop counter */ + blkCnt--; + } + +#endif /* #if defined (ARM_MATH_DSP) */ + +} + +/** + * @} end of FIR_Sparse group + */ diff --git a/fw/hid-dials/Drivers/CMSIS/DSP/Source/FilteringFunctions/arm_fir_sparse_q7.c b/fw/hid-dials/Drivers/CMSIS/DSP/Source/FilteringFunctions/arm_fir_sparse_q7.c new file mode 100644 index 0000000..252ba95 --- /dev/null +++ b/fw/hid-dials/Drivers/CMSIS/DSP/Source/FilteringFunctions/arm_fir_sparse_q7.c @@ -0,0 +1,469 @@ +/* ---------------------------------------------------------------------- + * Project: CMSIS DSP Library + * Title: arm_fir_sparse_q7.c + * Description: Q7 sparse FIR filter processing function + * + * $Date: 27. January 2017 + * $Revision: V.1.5.1 + * + * Target Processor: Cortex-M cores + * -------------------------------------------------------------------- */ +/* + * Copyright (C) 2010-2017 ARM Limited or its affiliates. All rights reserved. + * + * SPDX-License-Identifier: Apache-2.0 + * + * Licensed under the Apache License, Version 2.0 (the License); you may + * not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an AS IS BASIS, WITHOUT + * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ + +#include "arm_math.h" + + +/** + * @ingroup groupFilters + */ + +/** + * @addtogroup FIR_Sparse + * @{ + */ + + +/** + * @brief Processing function for the Q7 sparse FIR filter. + * @param[in] *S points to an instance of the Q7 sparse FIR structure. + * @param[in] *pSrc points to the block of input data. + * @param[out] *pDst points to the block of output data + * @param[in] *pScratchIn points to a temporary buffer of size blockSize. + * @param[in] *pScratchOut points to a temporary buffer of size blockSize. + * @param[in] blockSize number of input samples to process per call. + * @return none. + * + * Scaling and Overflow Behavior: + * \par + * The function is implemented using a 32-bit internal accumulator. + * Both coefficients and state variables are represented in 1.7 format and multiplications yield a 2.14 result. + * The 2.14 intermediate results are accumulated in a 32-bit accumulator in 18.14 format. + * There is no risk of internal overflow with this approach and the full precision of intermediate multiplications is preserved. + * The accumulator is then converted to 18.7 format by discarding the low 7 bits. + * Finally, the result is truncated to 1.7 format. + */ + +void arm_fir_sparse_q7( + arm_fir_sparse_instance_q7 * S, + q7_t * pSrc, + q7_t * pDst, + q7_t * pScratchIn, + q31_t * pScratchOut, + uint32_t blockSize) +{ + + q7_t *pState = S->pState; /* State pointer */ + q7_t *pCoeffs = S->pCoeffs; /* Coefficient pointer */ + q7_t *px; /* Scratch buffer pointer */ + q7_t *py = pState; /* Temporary pointers for state buffer */ + q7_t *pb = pScratchIn; /* Temporary pointers for scratch buffer */ + q7_t *pOut = pDst; /* Destination pointer */ + int32_t *pTapDelay = S->pTapDelay; /* Pointer to the array containing offset of the non-zero tap values. */ + uint32_t delaySize = S->maxDelay + blockSize; /* state length */ + uint16_t numTaps = S->numTaps; /* Filter order */ + int32_t readIndex; /* Read index of the state buffer */ + uint32_t tapCnt, blkCnt; /* loop counters */ + q7_t coeff = *pCoeffs++; /* Read the coefficient value */ + q31_t *pScr2 = pScratchOut; /* Working pointer for scratch buffer of output values */ + q31_t in; + + +#if defined (ARM_MATH_DSP) + + /* Run the below code for Cortex-M4 and Cortex-M3 */ + + q7_t in1, in2, in3, in4; + + /* BlockSize of Input samples are copied into the state buffer */ + /* StateIndex points to the starting position to write in the state buffer */ + arm_circularWrite_q7(py, (int32_t) delaySize, &S->stateIndex, 1, pSrc, 1, + blockSize); + + /* Loop over the number of taps. */ + tapCnt = numTaps; + + /* Read Index, from where the state buffer should be read, is calculated. */ + readIndex = ((int32_t) S->stateIndex - (int32_t) blockSize) - *pTapDelay++; + + /* Wraparound of readIndex */ + if (readIndex < 0) + { + readIndex += (int32_t) delaySize; + } + + /* Working pointer for state buffer is updated */ + py = pState; + + /* blockSize samples are read from the state buffer */ + arm_circularRead_q7(py, (int32_t) delaySize, &readIndex, 1, pb, pb, + (int32_t) blockSize, 1, blockSize); + + /* Working pointer for the scratch buffer of state values */ + px = pb; + + /* Working pointer for scratch buffer of output values */ + pScratchOut = pScr2; + + /* Loop over the blockSize. Unroll by a factor of 4. + * Compute 4 multiplications at a time. */ + blkCnt = blockSize >> 2; + + while (blkCnt > 0U) + { + /* Perform multiplication and store in the scratch buffer */ + *pScratchOut++ = ((q31_t) * px++ * coeff); + *pScratchOut++ = ((q31_t) * px++ * coeff); + *pScratchOut++ = ((q31_t) * px++ * coeff); + *pScratchOut++ = ((q31_t) * px++ * coeff); + + /* Decrement the loop counter */ + blkCnt--; + } + + /* If the blockSize is not a multiple of 4, + * compute the remaining samples */ + blkCnt = blockSize % 0x4U; + + while (blkCnt > 0U) + { + /* Perform multiplication and store in the scratch buffer */ + *pScratchOut++ = ((q31_t) * px++ * coeff); + + /* Decrement the loop counter */ + blkCnt--; + } + + /* Load the coefficient value and + * increment the coefficient buffer for the next set of state values */ + coeff = *pCoeffs++; + + /* Read Index, from where the state buffer should be read, is calculated. */ + readIndex = ((int32_t) S->stateIndex - (int32_t) blockSize) - *pTapDelay++; + + /* Wraparound of readIndex */ + if (readIndex < 0) + { + readIndex += (int32_t) delaySize; + } + + /* Loop over the number of taps. */ + tapCnt = (uint32_t) numTaps - 2U; + + while (tapCnt > 0U) + { + /* Working pointer for state buffer is updated */ + py = pState; + + /* blockSize samples are read from the state buffer */ + arm_circularRead_q7(py, (int32_t) delaySize, &readIndex, 1, pb, pb, + (int32_t) blockSize, 1, blockSize); + + /* Working pointer for the scratch buffer of state values */ + px = pb; + + /* Working pointer for scratch buffer of output values */ + pScratchOut = pScr2; + + /* Loop over the blockSize. Unroll by a factor of 4. + * Compute 4 MACS at a time. */ + blkCnt = blockSize >> 2; + + while (blkCnt > 0U) + { + /* Perform Multiply-Accumulate */ + in = *pScratchOut + ((q31_t) * px++ * coeff); + *pScratchOut++ = in; + in = *pScratchOut + ((q31_t) * px++ * coeff); + *pScratchOut++ = in; + in = *pScratchOut + ((q31_t) * px++ * coeff); + *pScratchOut++ = in; + in = *pScratchOut + ((q31_t) * px++ * coeff); + *pScratchOut++ = in; + + /* Decrement the loop counter */ + blkCnt--; + } + + /* If the blockSize is not a multiple of 4, + * compute the remaining samples */ + blkCnt = blockSize % 0x4U; + + while (blkCnt > 0U) + { + /* Perform Multiply-Accumulate */ + in = *pScratchOut + ((q31_t) * px++ * coeff); + *pScratchOut++ = in; + + /* Decrement the loop counter */ + blkCnt--; + } + + /* Load the coefficient value and + * increment the coefficient buffer for the next set of state values */ + coeff = *pCoeffs++; + + /* Read Index, from where the state buffer should be read, is calculated. */ + readIndex = ((int32_t) S->stateIndex - + (int32_t) blockSize) - *pTapDelay++; + + /* Wraparound of readIndex */ + if (readIndex < 0) + { + readIndex += (int32_t) delaySize; + } + + /* Decrement the tap loop counter */ + tapCnt--; + } + + /* Compute last tap without the final read of pTapDelay */ + + /* Working pointer for state buffer is updated */ + py = pState; + + /* blockSize samples are read from the state buffer */ + arm_circularRead_q7(py, (int32_t) delaySize, &readIndex, 1, pb, pb, + (int32_t) blockSize, 1, blockSize); + + /* Working pointer for the scratch buffer of state values */ + px = pb; + + /* Working pointer for scratch buffer of output values */ + pScratchOut = pScr2; + + /* Loop over the blockSize. Unroll by a factor of 4. + * Compute 4 MACS at a time. */ + blkCnt = blockSize >> 2; + + while (blkCnt > 0U) + { + /* Perform Multiply-Accumulate */ + in = *pScratchOut + ((q31_t) * px++ * coeff); + *pScratchOut++ = in; + in = *pScratchOut + ((q31_t) * px++ * coeff); + *pScratchOut++ = in; + in = *pScratchOut + ((q31_t) * px++ * coeff); + *pScratchOut++ = in; + in = *pScratchOut + ((q31_t) * px++ * coeff); + *pScratchOut++ = in; + + /* Decrement the loop counter */ + blkCnt--; + } + + /* If the blockSize is not a multiple of 4, + * compute the remaining samples */ + blkCnt = blockSize % 0x4U; + + while (blkCnt > 0U) + { + /* Perform Multiply-Accumulate */ + in = *pScratchOut + ((q31_t) * px++ * coeff); + *pScratchOut++ = in; + + /* Decrement the loop counter */ + blkCnt--; + } + + /* All the output values are in pScratchOut buffer. + Convert them into 1.15 format, saturate and store in the destination buffer. */ + /* Loop over the blockSize. */ + blkCnt = blockSize >> 2; + + while (blkCnt > 0U) + { + in1 = (q7_t) __SSAT(*pScr2++ >> 7, 8); + in2 = (q7_t) __SSAT(*pScr2++ >> 7, 8); + in3 = (q7_t) __SSAT(*pScr2++ >> 7, 8); + in4 = (q7_t) __SSAT(*pScr2++ >> 7, 8); + + *__SIMD32(pOut)++ = __PACKq7(in1, in2, in3, in4); + + /* Decrement the blockSize loop counter */ + blkCnt--; + } + + /* If the blockSize is not a multiple of 4, + remaining samples are processed in the below loop */ + blkCnt = blockSize % 0x4U; + + while (blkCnt > 0U) + { + *pOut++ = (q7_t) __SSAT(*pScr2++ >> 7, 8); + + /* Decrement the blockSize loop counter */ + blkCnt--; + } + +#else + + /* Run the below code for Cortex-M0 */ + + /* BlockSize of Input samples are copied into the state buffer */ + /* StateIndex points to the starting position to write in the state buffer */ + arm_circularWrite_q7(py, (int32_t) delaySize, &S->stateIndex, 1, pSrc, 1, + blockSize); + + /* Loop over the number of taps. */ + tapCnt = numTaps; + + /* Read Index, from where the state buffer should be read, is calculated. */ + readIndex = ((int32_t) S->stateIndex - (int32_t) blockSize) - *pTapDelay++; + + /* Wraparound of readIndex */ + if (readIndex < 0) + { + readIndex += (int32_t) delaySize; + } + + /* Working pointer for state buffer is updated */ + py = pState; + + /* blockSize samples are read from the state buffer */ + arm_circularRead_q7(py, (int32_t) delaySize, &readIndex, 1, pb, pb, + (int32_t) blockSize, 1, blockSize); + + /* Working pointer for the scratch buffer of state values */ + px = pb; + + /* Working pointer for scratch buffer of output values */ + pScratchOut = pScr2; + + /* Loop over the blockSize */ + blkCnt = blockSize; + + while (blkCnt > 0U) + { + /* Perform multiplication and store in the scratch buffer */ + *pScratchOut++ = ((q31_t) * px++ * coeff); + + /* Decrement the loop counter */ + blkCnt--; + } + + /* Load the coefficient value and + * increment the coefficient buffer for the next set of state values */ + coeff = *pCoeffs++; + + /* Read Index, from where the state buffer should be read, is calculated. */ + readIndex = ((int32_t) S->stateIndex - (int32_t) blockSize) - *pTapDelay++; + + /* Wraparound of readIndex */ + if (readIndex < 0) + { + readIndex += (int32_t) delaySize; + } + + /* Loop over the number of taps. */ + tapCnt = (uint32_t) numTaps - 2U; + + while (tapCnt > 0U) + { + /* Working pointer for state buffer is updated */ + py = pState; + + /* blockSize samples are read from the state buffer */ + arm_circularRead_q7(py, (int32_t) delaySize, &readIndex, 1, pb, pb, + (int32_t) blockSize, 1, blockSize); + + /* Working pointer for the scratch buffer of state values */ + px = pb; + + /* Working pointer for scratch buffer of output values */ + pScratchOut = pScr2; + + /* Loop over the blockSize */ + blkCnt = blockSize; + + while (blkCnt > 0U) + { + /* Perform Multiply-Accumulate */ + in = *pScratchOut + ((q31_t) * px++ * coeff); + *pScratchOut++ = in; + + /* Decrement the loop counter */ + blkCnt--; + } + + /* Load the coefficient value and + * increment the coefficient buffer for the next set of state values */ + coeff = *pCoeffs++; + + /* Read Index, from where the state buffer should be read, is calculated. */ + readIndex = + ((int32_t) S->stateIndex - (int32_t) blockSize) - *pTapDelay++; + + /* Wraparound of readIndex */ + if (readIndex < 0) + { + readIndex += (int32_t) delaySize; + } + + /* Decrement the tap loop counter */ + tapCnt--; + } + + /* Compute last tap without the final read of pTapDelay */ + + /* Working pointer for state buffer is updated */ + py = pState; + + /* blockSize samples are read from the state buffer */ + arm_circularRead_q7(py, (int32_t) delaySize, &readIndex, 1, pb, pb, + (int32_t) blockSize, 1, blockSize); + + /* Working pointer for the scratch buffer of state values */ + px = pb; + + /* Working pointer for scratch buffer of output values */ + pScratchOut = pScr2; + + /* Loop over the blockSize */ + blkCnt = blockSize; + + while (blkCnt > 0U) + { + /* Perform Multiply-Accumulate */ + in = *pScratchOut + ((q31_t) * px++ * coeff); + *pScratchOut++ = in; + + /* Decrement the loop counter */ + blkCnt--; + } + + /* All the output values are in pScratchOut buffer. + Convert them into 1.15 format, saturate and store in the destination buffer. */ + /* Loop over the blockSize. */ + blkCnt = blockSize; + + while (blkCnt > 0U) + { + *pOut++ = (q7_t) __SSAT(*pScr2++ >> 7, 8); + + /* Decrement the blockSize loop counter */ + blkCnt--; + } + +#endif /* #if defined (ARM_MATH_DSP) */ + +} + +/** + * @} end of FIR_Sparse group + */ diff --git a/fw/hid-dials/Drivers/CMSIS/DSP/Source/FilteringFunctions/arm_iir_lattice_f32.c b/fw/hid-dials/Drivers/CMSIS/DSP/Source/FilteringFunctions/arm_iir_lattice_f32.c new file mode 100644 index 0000000..7cccd4a --- /dev/null +++ b/fw/hid-dials/Drivers/CMSIS/DSP/Source/FilteringFunctions/arm_iir_lattice_f32.c @@ -0,0 +1,435 @@ +/* ---------------------------------------------------------------------- + * Project: CMSIS DSP Library + * Title: arm_iir_lattice_f32.c + * Description: Floating-point IIR Lattice filter processing function + * + * $Date: 27. January 2017 + * $Revision: V.1.5.1 + * + * Target Processor: Cortex-M cores + * -------------------------------------------------------------------- */ +/* + * Copyright (C) 2010-2017 ARM Limited or its affiliates. All rights reserved. + * + * SPDX-License-Identifier: Apache-2.0 + * + * Licensed under the Apache License, Version 2.0 (the License); you may + * not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an AS IS BASIS, WITHOUT + * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ + +#include "arm_math.h" + +/** + * @ingroup groupFilters + */ + +/** + * @defgroup IIR_Lattice Infinite Impulse Response (IIR) Lattice Filters + * + * This set of functions implements lattice filters + * for Q15, Q31 and floating-point data types. Lattice filters are used in a + * variety of adaptive filter applications. The filter structure has feedforward and + * feedback components and the net impulse response is infinite length. + * The functions operate on blocks + * of input and output data and each call to the function processes + * blockSize samples through the filter. pSrc and + * pDst point to input and output arrays containing blockSize values. + + * \par Algorithm: + * \image html IIRLattice.gif "Infinite Impulse Response Lattice filter" + *
+ *    fN(n)   =  x(n)
+ *    fm-1(n) = fm(n) - km * gm-1(n-1)   for m = N, N-1, ...1
+ *    gm(n)   = km * fm-1(n) + gm-1(n-1) for m = N, N-1, ...1
+ *    y(n)    = vN * gN(n) + vN-1 * gN-1(n) + ...+ v0 * g0(n)
+ * 
+ * \par + * pkCoeffs points to array of reflection coefficients of size numStages. + * Reflection coefficients are stored in time-reversed order. + * \par + *
+ *    {kN, kN-1, ....k1}
+ * 
+ * pvCoeffs points to the array of ladder coefficients of size (numStages+1). + * Ladder coefficients are stored in time-reversed order. + * \par + *
+ *    {vN, vN-1, ...v0}
+ * 
+ * pState points to a state array of size numStages + blockSize. + * The state variables shown in the figure above (the g values) are stored in the pState array. + * The state variables are updated after each block of data is processed; the coefficients are untouched. + * \par Instance Structure + * The coefficients and state variables for a filter are stored together in an instance data structure. + * A separate instance structure must be defined for each filter. + * Coefficient arrays may be shared among several instances while state variable arrays cannot be shared. + * There are separate instance structure declarations for each of the 3 supported data types. + * + * \par Initialization Functions + * There is also an associated initialization function for each data type. + * The initialization function performs the following operations: + * - Sets the values of the internal structure fields. + * - Zeros out the values in the state buffer. + * To do this manually without calling the init function, assign the follow subfields of the instance structure: + * numStages, pkCoeffs, pvCoeffs, pState. Also set all of the values in pState to zero. + * + * \par + * Use of the initialization function is optional. + * However, if the initialization function is used, then the instance structure cannot be placed into a const data section. + * To place an instance structure into a const data section, the instance structure must be manually initialized. + * Set the values in the state buffer to zeros and then manually initialize the instance structure as follows: + *
+ *arm_iir_lattice_instance_f32 S = {numStages, pState, pkCoeffs, pvCoeffs};
+ *arm_iir_lattice_instance_q31 S = {numStages, pState, pkCoeffs, pvCoeffs};
+ *arm_iir_lattice_instance_q15 S = {numStages, pState, pkCoeffs, pvCoeffs};
+ * 
+ * \par + * where numStages is the number of stages in the filter; pState points to the state buffer array; + * pkCoeffs points to array of the reflection coefficients; pvCoeffs points to the array of ladder coefficients. + * \par Fixed-Point Behavior + * Care must be taken when using the fixed-point versions of the IIR lattice filter functions. + * In particular, the overflow and saturation behavior of the accumulator used in each function must be considered. + * Refer to the function specific documentation below for usage guidelines. + */ + +/** + * @addtogroup IIR_Lattice + * @{ + */ + +/** + * @brief Processing function for the floating-point IIR lattice filter. + * @param[in] *S points to an instance of the floating-point IIR lattice structure. + * @param[in] *pSrc points to the block of input data. + * @param[out] *pDst points to the block of output data. + * @param[in] blockSize number of samples to process. + * @return none. + */ + +#if defined (ARM_MATH_DSP) + + /* Run the below code for Cortex-M4 and Cortex-M3 */ + +void arm_iir_lattice_f32( + const arm_iir_lattice_instance_f32 * S, + float32_t * pSrc, + float32_t * pDst, + uint32_t blockSize) +{ + float32_t fnext1, gcurr1, gnext; /* Temporary variables for lattice stages */ + float32_t acc; /* Accumlator */ + uint32_t blkCnt, tapCnt; /* temporary variables for counts */ + float32_t *px1, *px2, *pk, *pv; /* temporary pointers for state and coef */ + uint32_t numStages = S->numStages; /* number of stages */ + float32_t *pState; /* State pointer */ + float32_t *pStateCurnt; /* State current pointer */ + float32_t k1, k2; + float32_t v1, v2, v3, v4; + float32_t gcurr2; + float32_t fnext2; + + /* initialise loop count */ + blkCnt = blockSize; + + /* initialise state pointer */ + pState = &S->pState[0]; + + /* Sample processing */ + while (blkCnt > 0U) + { + /* Read Sample from input buffer */ + /* fN(n) = x(n) */ + fnext2 = *pSrc++; + + /* Initialize Ladder coeff pointer */ + pv = &S->pvCoeffs[0]; + /* Initialize Reflection coeff pointer */ + pk = &S->pkCoeffs[0]; + + /* Initialize state read pointer */ + px1 = pState; + /* Initialize state write pointer */ + px2 = pState; + + /* Set accumulator to zero */ + acc = 0.0; + + /* Loop unrolling. Process 4 taps at a time. */ + tapCnt = (numStages) >> 2; + + while (tapCnt > 0U) + { + /* Read gN-1(n-1) from state buffer */ + gcurr1 = *px1; + + /* read reflection coefficient kN */ + k1 = *pk; + + /* fN-1(n) = fN(n) - kN * gN-1(n-1) */ + fnext1 = fnext2 - (k1 * gcurr1); + + /* read ladder coefficient vN */ + v1 = *pv; + + /* read next reflection coefficient kN-1 */ + k2 = *(pk + 1U); + + /* Read gN-2(n-1) from state buffer */ + gcurr2 = *(px1 + 1U); + + /* read next ladder coefficient vN-1 */ + v2 = *(pv + 1U); + + /* fN-2(n) = fN-1(n) - kN-1 * gN-2(n-1) */ + fnext2 = fnext1 - (k2 * gcurr2); + + /* gN(n) = kN * fN-1(n) + gN-1(n-1) */ + gnext = gcurr1 + (k1 * fnext1); + + /* read reflection coefficient kN-2 */ + k1 = *(pk + 2U); + + /* write gN(n) into state for next sample processing */ + *px2++ = gnext; + + /* Read gN-3(n-1) from state buffer */ + gcurr1 = *(px1 + 2U); + + /* y(n) += gN(n) * vN */ + acc += (gnext * v1); + + /* fN-3(n) = fN-2(n) - kN-2 * gN-3(n-1) */ + fnext1 = fnext2 - (k1 * gcurr1); + + /* gN-1(n) = kN-1 * fN-2(n) + gN-2(n-1) */ + gnext = gcurr2 + (k2 * fnext2); + + /* Read gN-4(n-1) from state buffer */ + gcurr2 = *(px1 + 3U); + + /* y(n) += gN-1(n) * vN-1 */ + acc += (gnext * v2); + + /* read reflection coefficient kN-3 */ + k2 = *(pk + 3U); + + /* write gN-1(n) into state for next sample processing */ + *px2++ = gnext; + + /* fN-4(n) = fN-3(n) - kN-3 * gN-4(n-1) */ + fnext2 = fnext1 - (k2 * gcurr2); + + /* gN-2(n) = kN-2 * fN-3(n) + gN-3(n-1) */ + gnext = gcurr1 + (k1 * fnext1); + + /* read ladder coefficient vN-2 */ + v3 = *(pv + 2U); + + /* y(n) += gN-2(n) * vN-2 */ + acc += (gnext * v3); + + /* write gN-2(n) into state for next sample processing */ + *px2++ = gnext; + + /* update pointer */ + pk += 4U; + + /* gN-3(n) = kN-3 * fN-4(n) + gN-4(n-1) */ + gnext = (fnext2 * k2) + gcurr2; + + /* read next ladder coefficient vN-3 */ + v4 = *(pv + 3U); + + /* y(n) += gN-4(n) * vN-4 */ + acc += (gnext * v4); + + /* write gN-3(n) into state for next sample processing */ + *px2++ = gnext; + + /* update pointers */ + px1 += 4U; + pv += 4U; + + tapCnt--; + + } + + /* If the filter length is not a multiple of 4, compute the remaining filter taps */ + tapCnt = (numStages) % 0x4U; + + while (tapCnt > 0U) + { + gcurr1 = *px1++; + /* Process sample for last taps */ + fnext1 = fnext2 - ((*pk) * gcurr1); + gnext = (fnext1 * (*pk++)) + gcurr1; + /* Output samples for last taps */ + acc += (gnext * (*pv++)); + *px2++ = gnext; + fnext2 = fnext1; + + tapCnt--; + + } + + /* y(n) += g0(n) * v0 */ + acc += (fnext2 * (*pv)); + + *px2++ = fnext2; + + /* write out into pDst */ + *pDst++ = acc; + + /* Advance the state pointer by 4 to process the next group of 4 samples */ + pState = pState + 1U; + + blkCnt--; + + } + + /* Processing is complete. Now copy last S->numStages samples to start of the buffer + for the preperation of next frame process */ + + /* Points to the start of the state buffer */ + pStateCurnt = &S->pState[0]; + pState = &S->pState[blockSize]; + + tapCnt = numStages >> 2U; + + /* copy data */ + while (tapCnt > 0U) + { + *pStateCurnt++ = *pState++; + *pStateCurnt++ = *pState++; + *pStateCurnt++ = *pState++; + *pStateCurnt++ = *pState++; + + /* Decrement the loop counter */ + tapCnt--; + + } + + /* Calculate remaining number of copies */ + tapCnt = (numStages) % 0x4U; + + /* Copy the remaining q31_t data */ + while (tapCnt > 0U) + { + *pStateCurnt++ = *pState++; + + /* Decrement the loop counter */ + tapCnt--; + } +} + +#else + +void arm_iir_lattice_f32( + const arm_iir_lattice_instance_f32 * S, + float32_t * pSrc, + float32_t * pDst, + uint32_t blockSize) +{ + float32_t fcurr, fnext = 0, gcurr, gnext; /* Temporary variables for lattice stages */ + float32_t acc; /* Accumlator */ + uint32_t blkCnt, tapCnt; /* temporary variables for counts */ + float32_t *px1, *px2, *pk, *pv; /* temporary pointers for state and coef */ + uint32_t numStages = S->numStages; /* number of stages */ + float32_t *pState; /* State pointer */ + float32_t *pStateCurnt; /* State current pointer */ + + + /* Run the below code for Cortex-M0 */ + + blkCnt = blockSize; + + pState = &S->pState[0]; + + /* Sample processing */ + while (blkCnt > 0U) + { + /* Read Sample from input buffer */ + /* fN(n) = x(n) */ + fcurr = *pSrc++; + + /* Initialize state read pointer */ + px1 = pState; + /* Initialize state write pointer */ + px2 = pState; + /* Set accumulator to zero */ + acc = 0.0f; + /* Initialize Ladder coeff pointer */ + pv = &S->pvCoeffs[0]; + /* Initialize Reflection coeff pointer */ + pk = &S->pkCoeffs[0]; + + + /* Process sample for numStages */ + tapCnt = numStages; + + while (tapCnt > 0U) + { + gcurr = *px1++; + /* Process sample for last taps */ + fnext = fcurr - ((*pk) * gcurr); + gnext = (fnext * (*pk++)) + gcurr; + + /* Output samples for last taps */ + acc += (gnext * (*pv++)); + *px2++ = gnext; + fcurr = fnext; + + /* Decrementing loop counter */ + tapCnt--; + + } + + /* y(n) += g0(n) * v0 */ + acc += (fnext * (*pv)); + + *px2++ = fnext; + + /* write out into pDst */ + *pDst++ = acc; + + /* Advance the state pointer by 1 to process the next group of samples */ + pState = pState + 1U; + blkCnt--; + + } + + /* Processing is complete. Now copy last S->numStages samples to start of the buffer + for the preperation of next frame process */ + + /* Points to the start of the state buffer */ + pStateCurnt = &S->pState[0]; + pState = &S->pState[blockSize]; + + tapCnt = numStages; + + /* Copy the data */ + while (tapCnt > 0U) + { + *pStateCurnt++ = *pState++; + + /* Decrement the loop counter */ + tapCnt--; + } + +} + +#endif /* #if defined (ARM_MATH_DSP) */ + + +/** + * @} end of IIR_Lattice group + */ diff --git a/fw/hid-dials/Drivers/CMSIS/DSP/Source/FilteringFunctions/arm_iir_lattice_init_f32.c b/fw/hid-dials/Drivers/CMSIS/DSP/Source/FilteringFunctions/arm_iir_lattice_init_f32.c new file mode 100644 index 0000000..f20a21b --- /dev/null +++ b/fw/hid-dials/Drivers/CMSIS/DSP/Source/FilteringFunctions/arm_iir_lattice_init_f32.c @@ -0,0 +1,79 @@ +/* ---------------------------------------------------------------------- + * Project: CMSIS DSP Library + * Title: arm_iir_lattice_init_f32.c + * Description: Floating-point IIR lattice filter initialization function + * + * $Date: 27. January 2017 + * $Revision: V.1.5.1 + * + * Target Processor: Cortex-M cores + * -------------------------------------------------------------------- */ +/* + * Copyright (C) 2010-2017 ARM Limited or its affiliates. All rights reserved. + * + * SPDX-License-Identifier: Apache-2.0 + * + * Licensed under the Apache License, Version 2.0 (the License); you may + * not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an AS IS BASIS, WITHOUT + * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ + +#include "arm_math.h" + +/** + * @ingroup groupFilters + */ + +/** + * @addtogroup IIR_Lattice + * @{ + */ + +/** + * @brief Initialization function for the floating-point IIR lattice filter. + * @param[in] *S points to an instance of the floating-point IIR lattice structure. + * @param[in] numStages number of stages in the filter. + * @param[in] *pkCoeffs points to the reflection coefficient buffer. The array is of length numStages. + * @param[in] *pvCoeffs points to the ladder coefficient buffer. The array is of length numStages+1. + * @param[in] *pState points to the state buffer. The array is of length numStages+blockSize. + * @param[in] blockSize number of samples to process. + * @return none. + */ + +void arm_iir_lattice_init_f32( + arm_iir_lattice_instance_f32 * S, + uint16_t numStages, + float32_t * pkCoeffs, + float32_t * pvCoeffs, + float32_t * pState, + uint32_t blockSize) +{ + /* Assign filter taps */ + S->numStages = numStages; + + /* Assign reflection coefficient pointer */ + S->pkCoeffs = pkCoeffs; + + /* Assign ladder coefficient pointer */ + S->pvCoeffs = pvCoeffs; + + /* Clear state buffer and size is always blockSize + numStages */ + memset(pState, 0, (numStages + blockSize) * sizeof(float32_t)); + + /* Assign state pointer */ + S->pState = pState; + + +} + + /** + * @} end of IIR_Lattice group + */ diff --git a/fw/hid-dials/Drivers/CMSIS/DSP/Source/FilteringFunctions/arm_iir_lattice_init_q15.c b/fw/hid-dials/Drivers/CMSIS/DSP/Source/FilteringFunctions/arm_iir_lattice_init_q15.c new file mode 100644 index 0000000..6cae944 --- /dev/null +++ b/fw/hid-dials/Drivers/CMSIS/DSP/Source/FilteringFunctions/arm_iir_lattice_init_q15.c @@ -0,0 +1,79 @@ +/* ---------------------------------------------------------------------- + * Project: CMSIS DSP Library + * Title: arm_iir_lattice_init_q15.c + * Description: Q15 IIR lattice filter initialization function + * + * $Date: 27. January 2017 + * $Revision: V.1.5.1 + * + * Target Processor: Cortex-M cores + * -------------------------------------------------------------------- */ +/* + * Copyright (C) 2010-2017 ARM Limited or its affiliates. All rights reserved. + * + * SPDX-License-Identifier: Apache-2.0 + * + * Licensed under the Apache License, Version 2.0 (the License); you may + * not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an AS IS BASIS, WITHOUT + * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ + +#include "arm_math.h" + +/** + * @ingroup groupFilters + */ + +/** + * @addtogroup IIR_Lattice + * @{ + */ + + /** + * @brief Initialization function for the Q15 IIR lattice filter. + * @param[in] *S points to an instance of the Q15 IIR lattice structure. + * @param[in] numStages number of stages in the filter. + * @param[in] *pkCoeffs points to reflection coefficient buffer. The array is of length numStages. + * @param[in] *pvCoeffs points to ladder coefficient buffer. The array is of length numStages+1. + * @param[in] *pState points to state buffer. The array is of length numStages+blockSize. + * @param[in] blockSize number of samples to process per call. + * @return none. + */ + +void arm_iir_lattice_init_q15( + arm_iir_lattice_instance_q15 * S, + uint16_t numStages, + q15_t * pkCoeffs, + q15_t * pvCoeffs, + q15_t * pState, + uint32_t blockSize) +{ + /* Assign filter taps */ + S->numStages = numStages; + + /* Assign reflection coefficient pointer */ + S->pkCoeffs = pkCoeffs; + + /* Assign ladder coefficient pointer */ + S->pvCoeffs = pvCoeffs; + + /* Clear state buffer and size is always blockSize + numStages */ + memset(pState, 0, (numStages + blockSize) * sizeof(q15_t)); + + /* Assign state pointer */ + S->pState = pState; + + +} + +/** + * @} end of IIR_Lattice group + */ diff --git a/fw/hid-dials/Drivers/CMSIS/DSP/Source/FilteringFunctions/arm_iir_lattice_init_q31.c b/fw/hid-dials/Drivers/CMSIS/DSP/Source/FilteringFunctions/arm_iir_lattice_init_q31.c new file mode 100644 index 0000000..fe9869e --- /dev/null +++ b/fw/hid-dials/Drivers/CMSIS/DSP/Source/FilteringFunctions/arm_iir_lattice_init_q31.c @@ -0,0 +1,79 @@ +/* ---------------------------------------------------------------------- + * Project: CMSIS DSP Library + * Title: arm_iir_lattice_init_q31.c + * Description: Initialization function for the Q31 IIR lattice filter + * + * $Date: 27. January 2017 + * $Revision: V.1.5.1 + * + * Target Processor: Cortex-M cores + * -------------------------------------------------------------------- */ +/* + * Copyright (C) 2010-2017 ARM Limited or its affiliates. All rights reserved. + * + * SPDX-License-Identifier: Apache-2.0 + * + * Licensed under the Apache License, Version 2.0 (the License); you may + * not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an AS IS BASIS, WITHOUT + * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ + +#include "arm_math.h" + +/** + * @ingroup groupFilters + */ + +/** + * @addtogroup IIR_Lattice + * @{ + */ + + /** + * @brief Initialization function for the Q31 IIR lattice filter. + * @param[in] *S points to an instance of the Q31 IIR lattice structure. + * @param[in] numStages number of stages in the filter. + * @param[in] *pkCoeffs points to the reflection coefficient buffer. The array is of length numStages. + * @param[in] *pvCoeffs points to the ladder coefficient buffer. The array is of length numStages+1. + * @param[in] *pState points to the state buffer. The array is of length numStages+blockSize. + * @param[in] blockSize number of samples to process. + * @return none. + */ + +void arm_iir_lattice_init_q31( + arm_iir_lattice_instance_q31 * S, + uint16_t numStages, + q31_t * pkCoeffs, + q31_t * pvCoeffs, + q31_t * pState, + uint32_t blockSize) +{ + /* Assign filter taps */ + S->numStages = numStages; + + /* Assign reflection coefficient pointer */ + S->pkCoeffs = pkCoeffs; + + /* Assign ladder coefficient pointer */ + S->pvCoeffs = pvCoeffs; + + /* Clear state buffer and size is always blockSize + numStages */ + memset(pState, 0, (numStages + blockSize) * sizeof(q31_t)); + + /* Assign state pointer */ + S->pState = pState; + + +} + +/** + * @} end of IIR_Lattice group + */ diff --git a/fw/hid-dials/Drivers/CMSIS/DSP/Source/FilteringFunctions/arm_iir_lattice_q15.c b/fw/hid-dials/Drivers/CMSIS/DSP/Source/FilteringFunctions/arm_iir_lattice_q15.c new file mode 100644 index 0000000..9c70b68 --- /dev/null +++ b/fw/hid-dials/Drivers/CMSIS/DSP/Source/FilteringFunctions/arm_iir_lattice_q15.c @@ -0,0 +1,452 @@ +/* ---------------------------------------------------------------------- + * Project: CMSIS DSP Library + * Title: arm_iir_lattice_q15.c + * Description: Q15 IIR lattice filter processing function + * + * $Date: 27. January 2017 + * $Revision: V.1.5.1 + * + * Target Processor: Cortex-M cores + * -------------------------------------------------------------------- */ +/* + * Copyright (C) 2010-2017 ARM Limited or its affiliates. All rights reserved. + * + * SPDX-License-Identifier: Apache-2.0 + * + * Licensed under the Apache License, Version 2.0 (the License); you may + * not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an AS IS BASIS, WITHOUT + * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ + +#include "arm_math.h" + +/** + * @ingroup groupFilters + */ + +/** + * @addtogroup IIR_Lattice + * @{ + */ + +/** + * @brief Processing function for the Q15 IIR lattice filter. + * @param[in] *S points to an instance of the Q15 IIR lattice structure. + * @param[in] *pSrc points to the block of input data. + * @param[out] *pDst points to the block of output data. + * @param[in] blockSize number of samples to process. + * @return none. + * + * @details + * Scaling and Overflow Behavior: + * \par + * The function is implemented using a 64-bit internal accumulator. + * Both coefficients and state variables are represented in 1.15 format and multiplications yield a 2.30 result. + * The 2.30 intermediate results are accumulated in a 64-bit accumulator in 34.30 format. + * There is no risk of internal overflow with this approach and the full precision of intermediate multiplications is preserved. + * After all additions have been performed, the accumulator is truncated to 34.15 format by discarding low 15 bits. + * Lastly, the accumulator is saturated to yield a result in 1.15 format. + */ + +void arm_iir_lattice_q15( + const arm_iir_lattice_instance_q15 * S, + q15_t * pSrc, + q15_t * pDst, + uint32_t blockSize) +{ + + +#if defined (ARM_MATH_DSP) + + /* Run the below code for Cortex-M4 and Cortex-M3 */ + + q31_t fcurr, fnext, gcurr = 0, gnext; /* Temporary variables for lattice stages */ + q15_t gnext1, gnext2; /* Temporary variables for lattice stages */ + uint32_t stgCnt; /* Temporary variables for counts */ + q63_t acc; /* Accumlator */ + uint32_t blkCnt, tapCnt; /* Temporary variables for counts */ + q15_t *px1, *px2, *pk, *pv; /* temporary pointers for state and coef */ + uint32_t numStages = S->numStages; /* number of stages */ + q15_t *pState; /* State pointer */ + q15_t *pStateCurnt; /* State current pointer */ + q15_t out; /* Temporary variable for output */ + q31_t v; /* Temporary variable for ladder coefficient */ +#ifdef UNALIGNED_SUPPORT_DISABLE + q15_t v1, v2; +#endif + + + blkCnt = blockSize; + + pState = &S->pState[0]; + + /* Sample processing */ + while (blkCnt > 0U) + { + /* Read Sample from input buffer */ + /* fN(n) = x(n) */ + fcurr = *pSrc++; + + /* Initialize state read pointer */ + px1 = pState; + /* Initialize state write pointer */ + px2 = pState; + /* Set accumulator to zero */ + acc = 0; + /* Initialize Ladder coeff pointer */ + pv = &S->pvCoeffs[0]; + /* Initialize Reflection coeff pointer */ + pk = &S->pkCoeffs[0]; + + + /* Process sample for first tap */ + gcurr = *px1++; + /* fN-1(n) = fN(n) - kN * gN-1(n-1) */ + fnext = fcurr - (((q31_t) gcurr * (*pk)) >> 15); + fnext = __SSAT(fnext, 16); + /* gN(n) = kN * fN-1(n) + gN-1(n-1) */ + gnext = (((q31_t) fnext * (*pk++)) >> 15) + gcurr; + gnext = __SSAT(gnext, 16); + /* write gN(n) into state for next sample processing */ + *px2++ = (q15_t) gnext; + /* y(n) += gN(n) * vN */ + acc += (q31_t) ((gnext * (*pv++))); + + + /* Update f values for next coefficient processing */ + fcurr = fnext; + + /* Loop unrolling. Process 4 taps at a time. */ + tapCnt = (numStages - 1U) >> 2; + + while (tapCnt > 0U) + { + + /* Process sample for 2nd, 6th ...taps */ + /* Read gN-2(n-1) from state buffer */ + gcurr = *px1++; + /* Process sample for 2nd, 6th .. taps */ + /* fN-2(n) = fN-1(n) - kN-1 * gN-2(n-1) */ + fnext = fcurr - (((q31_t) gcurr * (*pk)) >> 15); + fnext = __SSAT(fnext, 16); + /* gN-1(n) = kN-1 * fN-2(n) + gN-2(n-1) */ + gnext = (((q31_t) fnext * (*pk++)) >> 15) + gcurr; + gnext1 = (q15_t) __SSAT(gnext, 16); + /* write gN-1(n) into state */ + *px2++ = (q15_t) gnext1; + + + /* Process sample for 3nd, 7th ...taps */ + /* Read gN-3(n-1) from state */ + gcurr = *px1++; + /* Process sample for 3rd, 7th .. taps */ + /* fN-3(n) = fN-2(n) - kN-2 * gN-3(n-1) */ + fcurr = fnext - (((q31_t) gcurr * (*pk)) >> 15); + fcurr = __SSAT(fcurr, 16); + /* gN-2(n) = kN-2 * fN-3(n) + gN-3(n-1) */ + gnext = (((q31_t) fcurr * (*pk++)) >> 15) + gcurr; + gnext2 = (q15_t) __SSAT(gnext, 16); + /* write gN-2(n) into state */ + *px2++ = (q15_t) gnext2; + + /* Read vN-1 and vN-2 at a time */ +#ifndef UNALIGNED_SUPPORT_DISABLE + + v = *__SIMD32(pv)++; + +#else + + v1 = *pv++; + v2 = *pv++; + +#ifndef ARM_MATH_BIG_ENDIAN + + v = __PKHBT(v1, v2, 16); + +#else + + v = __PKHBT(v2, v1, 16); + +#endif /* #ifndef ARM_MATH_BIG_ENDIAN */ + +#endif /* #ifndef UNALIGNED_SUPPORT_DISABLE */ + + + /* Pack gN-1(n) and gN-2(n) */ + +#ifndef ARM_MATH_BIG_ENDIAN + + gnext = __PKHBT(gnext1, gnext2, 16); + +#else + + gnext = __PKHBT(gnext2, gnext1, 16); + +#endif /* #ifndef ARM_MATH_BIG_ENDIAN */ + + /* y(n) += gN-1(n) * vN-1 */ + /* process for gN-5(n) * vN-5, gN-9(n) * vN-9 ... */ + /* y(n) += gN-2(n) * vN-2 */ + /* process for gN-6(n) * vN-6, gN-10(n) * vN-10 ... */ + acc = __SMLALD(gnext, v, acc); + + + /* Process sample for 4th, 8th ...taps */ + /* Read gN-4(n-1) from state */ + gcurr = *px1++; + /* Process sample for 4th, 8th .. taps */ + /* fN-4(n) = fN-3(n) - kN-3 * gN-4(n-1) */ + fnext = fcurr - (((q31_t) gcurr * (*pk)) >> 15); + fnext = __SSAT(fnext, 16); + /* gN-3(n) = kN-3 * fN-1(n) + gN-1(n-1) */ + gnext = (((q31_t) fnext * (*pk++)) >> 15) + gcurr; + gnext1 = (q15_t) __SSAT(gnext, 16); + /* write gN-3(n) for the next sample process */ + *px2++ = (q15_t) gnext1; + + + /* Process sample for 5th, 9th ...taps */ + /* Read gN-5(n-1) from state */ + gcurr = *px1++; + /* Process sample for 5th, 9th .. taps */ + /* fN-5(n) = fN-4(n) - kN-4 * gN-5(n-1) */ + fcurr = fnext - (((q31_t) gcurr * (*pk)) >> 15); + fcurr = __SSAT(fcurr, 16); + /* gN-4(n) = kN-4 * fN-5(n) + gN-5(n-1) */ + gnext = (((q31_t) fcurr * (*pk++)) >> 15) + gcurr; + gnext2 = (q15_t) __SSAT(gnext, 16); + /* write gN-4(n) for the next sample process */ + *px2++ = (q15_t) gnext2; + + /* Read vN-3 and vN-4 at a time */ +#ifndef UNALIGNED_SUPPORT_DISABLE + + v = *__SIMD32(pv)++; + +#else + + v1 = *pv++; + v2 = *pv++; + +#ifndef ARM_MATH_BIG_ENDIAN + + v = __PKHBT(v1, v2, 16); + +#else + + v = __PKHBT(v2, v1, 16); + +#endif /* #ifndef ARM_MATH_BIG_ENDIAN */ + +#endif /* #ifndef UNALIGNED_SUPPORT_DISABLE */ + + + /* Pack gN-3(n) and gN-4(n) */ +#ifndef ARM_MATH_BIG_ENDIAN + + gnext = __PKHBT(gnext1, gnext2, 16); + +#else + + gnext = __PKHBT(gnext2, gnext1, 16); + +#endif /* #ifndef ARM_MATH_BIG_ENDIAN */ + + /* y(n) += gN-4(n) * vN-4 */ + /* process for gN-8(n) * vN-8, gN-12(n) * vN-12 ... */ + /* y(n) += gN-3(n) * vN-3 */ + /* process for gN-7(n) * vN-7, gN-11(n) * vN-11 ... */ + acc = __SMLALD(gnext, v, acc); + + tapCnt--; + + } + + fnext = fcurr; + + /* If the filter length is not a multiple of 4, compute the remaining filter taps */ + tapCnt = (numStages - 1U) % 0x4U; + + while (tapCnt > 0U) + { + gcurr = *px1++; + /* Process sample for last taps */ + fnext = fcurr - (((q31_t) gcurr * (*pk)) >> 15); + fnext = __SSAT(fnext, 16); + gnext = (((q31_t) fnext * (*pk++)) >> 15) + gcurr; + gnext = __SSAT(gnext, 16); + /* Output samples for last taps */ + acc += (q31_t) (((q31_t) gnext * (*pv++))); + *px2++ = (q15_t) gnext; + fcurr = fnext; + + tapCnt--; + } + + /* y(n) += g0(n) * v0 */ + acc += (q31_t) (((q31_t) fnext * (*pv++))); + + out = (q15_t) __SSAT(acc >> 15, 16); + *px2++ = (q15_t) fnext; + + /* write out into pDst */ + *pDst++ = out; + + /* Advance the state pointer by 4 to process the next group of 4 samples */ + pState = pState + 1U; + blkCnt--; + + } + + /* Processing is complete. Now copy last S->numStages samples to start of the buffer + for the preperation of next frame process */ + /* Points to the start of the state buffer */ + pStateCurnt = &S->pState[0]; + pState = &S->pState[blockSize]; + + stgCnt = (numStages >> 2U); + + /* copy data */ + while (stgCnt > 0U) + { +#ifndef UNALIGNED_SUPPORT_DISABLE + + *__SIMD32(pStateCurnt)++ = *__SIMD32(pState)++; + *__SIMD32(pStateCurnt)++ = *__SIMD32(pState)++; + +#else + + *pStateCurnt++ = *pState++; + *pStateCurnt++ = *pState++; + *pStateCurnt++ = *pState++; + *pStateCurnt++ = *pState++; + +#endif /* #ifndef UNALIGNED_SUPPORT_DISABLE */ + + /* Decrement the loop counter */ + stgCnt--; + + } + + /* Calculation of count for remaining q15_t data */ + stgCnt = (numStages) % 0x4U; + + /* copy data */ + while (stgCnt > 0U) + { + *pStateCurnt++ = *pState++; + + /* Decrement the loop counter */ + stgCnt--; + } + +#else + + /* Run the below code for Cortex-M0 */ + + q31_t fcurr, fnext = 0, gcurr = 0, gnext; /* Temporary variables for lattice stages */ + uint32_t stgCnt; /* Temporary variables for counts */ + q63_t acc; /* Accumlator */ + uint32_t blkCnt, tapCnt; /* Temporary variables for counts */ + q15_t *px1, *px2, *pk, *pv; /* temporary pointers for state and coef */ + uint32_t numStages = S->numStages; /* number of stages */ + q15_t *pState; /* State pointer */ + q15_t *pStateCurnt; /* State current pointer */ + q15_t out; /* Temporary variable for output */ + + + blkCnt = blockSize; + + pState = &S->pState[0]; + + /* Sample processing */ + while (blkCnt > 0U) + { + /* Read Sample from input buffer */ + /* fN(n) = x(n) */ + fcurr = *pSrc++; + + /* Initialize state read pointer */ + px1 = pState; + /* Initialize state write pointer */ + px2 = pState; + /* Set accumulator to zero */ + acc = 0; + /* Initialize Ladder coeff pointer */ + pv = &S->pvCoeffs[0]; + /* Initialize Reflection coeff pointer */ + pk = &S->pkCoeffs[0]; + + tapCnt = numStages; + + while (tapCnt > 0U) + { + gcurr = *px1++; + /* Process sample */ + /* fN-1(n) = fN(n) - kN * gN-1(n-1) */ + fnext = fcurr - ((gcurr * (*pk)) >> 15); + fnext = __SSAT(fnext, 16); + /* gN(n) = kN * fN-1(n) + gN-1(n-1) */ + gnext = ((fnext * (*pk++)) >> 15) + gcurr; + gnext = __SSAT(gnext, 16); + /* Output samples */ + /* y(n) += gN(n) * vN */ + acc += (q31_t) ((gnext * (*pv++))); + /* write gN(n) into state for next sample processing */ + *px2++ = (q15_t) gnext; + /* Update f values for next coefficient processing */ + fcurr = fnext; + + tapCnt--; + } + + /* y(n) += g0(n) * v0 */ + acc += (q31_t) ((fnext * (*pv++))); + + out = (q15_t) __SSAT(acc >> 15, 16); + *px2++ = (q15_t) fnext; + + /* write out into pDst */ + *pDst++ = out; + + /* Advance the state pointer by 1 to process the next group of samples */ + pState = pState + 1U; + blkCnt--; + + } + + /* Processing is complete. Now copy last S->numStages samples to start of the buffer + for the preperation of next frame process */ + /* Points to the start of the state buffer */ + pStateCurnt = &S->pState[0]; + pState = &S->pState[blockSize]; + + stgCnt = numStages; + + /* copy data */ + while (stgCnt > 0U) + { + *pStateCurnt++ = *pState++; + + /* Decrement the loop counter */ + stgCnt--; + } + +#endif /* #if defined (ARM_MATH_DSP) */ + +} + + + + +/** + * @} end of IIR_Lattice group + */ diff --git a/fw/hid-dials/Drivers/CMSIS/DSP/Source/FilteringFunctions/arm_iir_lattice_q31.c b/fw/hid-dials/Drivers/CMSIS/DSP/Source/FilteringFunctions/arm_iir_lattice_q31.c new file mode 100644 index 0000000..736cbc0 --- /dev/null +++ b/fw/hid-dials/Drivers/CMSIS/DSP/Source/FilteringFunctions/arm_iir_lattice_q31.c @@ -0,0 +1,338 @@ +/* ---------------------------------------------------------------------- + * Project: CMSIS DSP Library + * Title: arm_iir_lattice_q31.c + * Description: Q31 IIR lattice filter processing function + * + * $Date: 27. January 2017 + * $Revision: V.1.5.1 + * + * Target Processor: Cortex-M cores + * -------------------------------------------------------------------- */ +/* + * Copyright (C) 2010-2017 ARM Limited or its affiliates. All rights reserved. + * + * SPDX-License-Identifier: Apache-2.0 + * + * Licensed under the Apache License, Version 2.0 (the License); you may + * not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an AS IS BASIS, WITHOUT + * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ + +#include "arm_math.h" + +/** + * @ingroup groupFilters + */ + +/** + * @addtogroup IIR_Lattice + * @{ + */ + +/** + * @brief Processing function for the Q31 IIR lattice filter. + * @param[in] *S points to an instance of the Q31 IIR lattice structure. + * @param[in] *pSrc points to the block of input data. + * @param[out] *pDst points to the block of output data. + * @param[in] blockSize number of samples to process. + * @return none. + * + * @details + * Scaling and Overflow Behavior: + * \par + * The function is implemented using an internal 64-bit accumulator. + * The accumulator has a 2.62 format and maintains full precision of the intermediate multiplication results but provides only a single guard bit. + * Thus, if the accumulator result overflows it wraps around rather than clip. + * In order to avoid overflows completely the input signal must be scaled down by 2*log2(numStages) bits. + * After all multiply-accumulates are performed, the 2.62 accumulator is saturated to 1.32 format and then truncated to 1.31 format. + */ + +void arm_iir_lattice_q31( + const arm_iir_lattice_instance_q31 * S, + q31_t * pSrc, + q31_t * pDst, + uint32_t blockSize) +{ + q31_t fcurr, fnext = 0, gcurr = 0, gnext; /* Temporary variables for lattice stages */ + q63_t acc; /* Accumlator */ + uint32_t blkCnt, tapCnt; /* Temporary variables for counts */ + q31_t *px1, *px2, *pk, *pv; /* Temporary pointers for state and coef */ + uint32_t numStages = S->numStages; /* number of stages */ + q31_t *pState; /* State pointer */ + q31_t *pStateCurnt; /* State current pointer */ + + blkCnt = blockSize; + + pState = &S->pState[0]; + + +#if defined (ARM_MATH_DSP) + + /* Run the below code for Cortex-M4 and Cortex-M3 */ + + /* Sample processing */ + while (blkCnt > 0U) + { + /* Read Sample from input buffer */ + /* fN(n) = x(n) */ + fcurr = *pSrc++; + + /* Initialize state read pointer */ + px1 = pState; + /* Initialize state write pointer */ + px2 = pState; + /* Set accumulator to zero */ + acc = 0; + /* Initialize Ladder coeff pointer */ + pv = &S->pvCoeffs[0]; + /* Initialize Reflection coeff pointer */ + pk = &S->pkCoeffs[0]; + + + /* Process sample for first tap */ + gcurr = *px1++; + /* fN-1(n) = fN(n) - kN * gN-1(n-1) */ + fnext = __QSUB(fcurr, (q31_t) (((q63_t) gcurr * (*pk)) >> 31)); + /* gN(n) = kN * fN-1(n) + gN-1(n-1) */ + gnext = __QADD(gcurr, (q31_t) (((q63_t) fnext * (*pk++)) >> 31)); + /* write gN-1(n-1) into state for next sample processing */ + *px2++ = gnext; + /* y(n) += gN(n) * vN */ + acc += ((q63_t) gnext * *pv++); + + /* Update f values for next coefficient processing */ + fcurr = fnext; + + /* Loop unrolling. Process 4 taps at a time. */ + tapCnt = (numStages - 1U) >> 2; + + while (tapCnt > 0U) + { + + /* Process sample for 2nd, 6th .. taps */ + /* Read gN-2(n-1) from state buffer */ + gcurr = *px1++; + /* fN-2(n) = fN-1(n) - kN-1 * gN-2(n-1) */ + fnext = __QSUB(fcurr, (q31_t) (((q63_t) gcurr * (*pk)) >> 31)); + /* gN-1(n) = kN-1 * fN-2(n) + gN-2(n-1) */ + gnext = __QADD(gcurr, (q31_t) (((q63_t) fnext * (*pk++)) >> 31)); + /* y(n) += gN-1(n) * vN-1 */ + /* process for gN-5(n) * vN-5, gN-9(n) * vN-9 ... */ + acc += ((q63_t) gnext * *pv++); + /* write gN-1(n) into state for next sample processing */ + *px2++ = gnext; + + /* Process sample for 3nd, 7th ...taps */ + /* Read gN-3(n-1) from state buffer */ + gcurr = *px1++; + /* Process sample for 3rd, 7th .. taps */ + /* fN-3(n) = fN-2(n) - kN-2 * gN-3(n-1) */ + fcurr = __QSUB(fnext, (q31_t) (((q63_t) gcurr * (*pk)) >> 31)); + /* gN-2(n) = kN-2 * fN-3(n) + gN-3(n-1) */ + gnext = __QADD(gcurr, (q31_t) (((q63_t) fcurr * (*pk++)) >> 31)); + /* y(n) += gN-2(n) * vN-2 */ + /* process for gN-6(n) * vN-6, gN-10(n) * vN-10 ... */ + acc += ((q63_t) gnext * *pv++); + /* write gN-2(n) into state for next sample processing */ + *px2++ = gnext; + + + /* Process sample for 4th, 8th ...taps */ + /* Read gN-4(n-1) from state buffer */ + gcurr = *px1++; + /* Process sample for 4th, 8th .. taps */ + /* fN-4(n) = fN-3(n) - kN-3 * gN-4(n-1) */ + fnext = __QSUB(fcurr, (q31_t) (((q63_t) gcurr * (*pk)) >> 31)); + /* gN-3(n) = kN-3 * fN-4(n) + gN-4(n-1) */ + gnext = __QADD(gcurr, (q31_t) (((q63_t) fnext * (*pk++)) >> 31)); + /* y(n) += gN-3(n) * vN-3 */ + /* process for gN-7(n) * vN-7, gN-11(n) * vN-11 ... */ + acc += ((q63_t) gnext * *pv++); + /* write gN-3(n) into state for next sample processing */ + *px2++ = gnext; + + + /* Process sample for 5th, 9th ...taps */ + /* Read gN-5(n-1) from state buffer */ + gcurr = *px1++; + /* Process sample for 5th, 9th .. taps */ + /* fN-5(n) = fN-4(n) - kN-4 * gN-1(n-1) */ + fcurr = __QSUB(fnext, (q31_t) (((q63_t) gcurr * (*pk)) >> 31)); + /* gN-4(n) = kN-4 * fN-5(n) + gN-5(n-1) */ + gnext = __QADD(gcurr, (q31_t) (((q63_t) fcurr * (*pk++)) >> 31)); + /* y(n) += gN-4(n) * vN-4 */ + /* process for gN-8(n) * vN-8, gN-12(n) * vN-12 ... */ + acc += ((q63_t) gnext * *pv++); + /* write gN-4(n) into state for next sample processing */ + *px2++ = gnext; + + tapCnt--; + + } + + fnext = fcurr; + + /* If the filter length is not a multiple of 4, compute the remaining filter taps */ + tapCnt = (numStages - 1U) % 0x4U; + + while (tapCnt > 0U) + { + gcurr = *px1++; + /* Process sample for last taps */ + fnext = __QSUB(fcurr, (q31_t) (((q63_t) gcurr * (*pk)) >> 31)); + gnext = __QADD(gcurr, (q31_t) (((q63_t) fnext * (*pk++)) >> 31)); + /* Output samples for last taps */ + acc += ((q63_t) gnext * *pv++); + *px2++ = gnext; + fcurr = fnext; + + tapCnt--; + + } + + /* y(n) += g0(n) * v0 */ + acc += (q63_t) fnext *( + *pv++); + + *px2++ = fnext; + + /* write out into pDst */ + *pDst++ = (q31_t) (acc >> 31U); + + /* Advance the state pointer by 4 to process the next group of 4 samples */ + pState = pState + 1U; + blkCnt--; + + } + + /* Processing is complete. Now copy last S->numStages samples to start of the buffer + for the preperation of next frame process */ + + /* Points to the start of the state buffer */ + pStateCurnt = &S->pState[0]; + pState = &S->pState[blockSize]; + + tapCnt = numStages >> 2U; + + /* copy data */ + while (tapCnt > 0U) + { + *pStateCurnt++ = *pState++; + *pStateCurnt++ = *pState++; + *pStateCurnt++ = *pState++; + *pStateCurnt++ = *pState++; + + /* Decrement the loop counter */ + tapCnt--; + + } + + /* Calculate remaining number of copies */ + tapCnt = (numStages) % 0x4U; + + /* Copy the remaining q31_t data */ + while (tapCnt > 0U) + { + *pStateCurnt++ = *pState++; + + /* Decrement the loop counter */ + tapCnt--; + }; + +#else + + /* Run the below code for Cortex-M0 */ + /* Sample processing */ + while (blkCnt > 0U) + { + /* Read Sample from input buffer */ + /* fN(n) = x(n) */ + fcurr = *pSrc++; + + /* Initialize state read pointer */ + px1 = pState; + /* Initialize state write pointer */ + px2 = pState; + /* Set accumulator to zero */ + acc = 0; + /* Initialize Ladder coeff pointer */ + pv = &S->pvCoeffs[0]; + /* Initialize Reflection coeff pointer */ + pk = &S->pkCoeffs[0]; + + tapCnt = numStages; + + while (tapCnt > 0U) + { + gcurr = *px1++; + /* Process sample */ + /* fN-1(n) = fN(n) - kN * gN-1(n-1) */ + fnext = + clip_q63_to_q31(((q63_t) fcurr - + ((q31_t) (((q63_t) gcurr * (*pk)) >> 31)))); + /* gN(n) = kN * fN-1(n) + gN-1(n-1) */ + gnext = + clip_q63_to_q31(((q63_t) gcurr + + ((q31_t) (((q63_t) fnext * (*pk++)) >> 31)))); + /* Output samples */ + /* y(n) += gN(n) * vN */ + acc += ((q63_t) gnext * *pv++); + /* write gN-1(n-1) into state for next sample processing */ + *px2++ = gnext; + /* Update f values for next coefficient processing */ + fcurr = fnext; + + tapCnt--; + } + + /* y(n) += g0(n) * v0 */ + acc += (q63_t) fnext *( + *pv++); + + *px2++ = fnext; + + /* write out into pDst */ + *pDst++ = (q31_t) (acc >> 31U); + + /* Advance the state pointer by 1 to process the next group of samples */ + pState = pState + 1U; + blkCnt--; + + } + + /* Processing is complete. Now copy last S->numStages samples to start of the buffer + for the preperation of next frame process */ + + /* Points to the start of the state buffer */ + pStateCurnt = &S->pState[0]; + pState = &S->pState[blockSize]; + + tapCnt = numStages; + + /* Copy the remaining q31_t data */ + while (tapCnt > 0U) + { + *pStateCurnt++ = *pState++; + + /* Decrement the loop counter */ + tapCnt--; + } + +#endif /* #if defined (ARM_MATH_DSP) */ + +} + + + + +/** + * @} end of IIR_Lattice group + */ diff --git a/fw/hid-dials/Drivers/CMSIS/DSP/Source/FilteringFunctions/arm_lms_f32.c b/fw/hid-dials/Drivers/CMSIS/DSP/Source/FilteringFunctions/arm_lms_f32.c new file mode 100644 index 0000000..3975f00 --- /dev/null +++ b/fw/hid-dials/Drivers/CMSIS/DSP/Source/FilteringFunctions/arm_lms_f32.c @@ -0,0 +1,430 @@ +/* ---------------------------------------------------------------------- + * Project: CMSIS DSP Library + * Title: arm_lms_f32.c + * Description: Processing function for the floating-point LMS filter + * + * $Date: 27. January 2017 + * $Revision: V.1.5.1 + * + * Target Processor: Cortex-M cores + * -------------------------------------------------------------------- */ +/* + * Copyright (C) 2010-2017 ARM Limited or its affiliates. All rights reserved. + * + * SPDX-License-Identifier: Apache-2.0 + * + * Licensed under the Apache License, Version 2.0 (the License); you may + * not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an AS IS BASIS, WITHOUT + * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ + +#include "arm_math.h" + +/** + * @ingroup groupFilters + */ + +/** + * @defgroup LMS Least Mean Square (LMS) Filters + * + * LMS filters are a class of adaptive filters that are able to "learn" an unknown transfer functions. + * LMS filters use a gradient descent method in which the filter coefficients are updated based on the instantaneous error signal. + * Adaptive filters are often used in communication systems, equalizers, and noise removal. + * The CMSIS DSP Library contains LMS filter functions that operate on Q15, Q31, and floating-point data types. + * The library also contains normalized LMS filters in which the filter coefficient adaptation is indepedent of the level of the input signal. + * + * An LMS filter consists of two components as shown below. + * The first component is a standard transversal or FIR filter. + * The second component is a coefficient update mechanism. + * The LMS filter has two input signals. + * The "input" feeds the FIR filter while the "reference input" corresponds to the desired output of the FIR filter. + * That is, the FIR filter coefficients are updated so that the output of the FIR filter matches the reference input. + * The filter coefficient update mechanism is based on the difference between the FIR filter output and the reference input. + * This "error signal" tends towards zero as the filter adapts. + * The LMS processing functions accept the input and reference input signals and generate the filter output and error signal. + * \image html LMS.gif "Internal structure of the Least Mean Square filter" + * + * The functions operate on blocks of data and each call to the function processes + * blockSize samples through the filter. + * pSrc points to input signal, pRef points to reference signal, + * pOut points to output signal and pErr points to error signal. + * All arrays contain blockSize values. + * + * The functions operate on a block-by-block basis. + * Internally, the filter coefficients b[n] are updated on a sample-by-sample basis. + * The convergence of the LMS filter is slower compared to the normalized LMS algorithm. + * + * \par Algorithm: + * The output signal y[n] is computed by a standard FIR filter: + *
+ *     y[n] = b[0] * x[n] + b[1] * x[n-1] + b[2] * x[n-2] + ...+ b[numTaps-1] * x[n-numTaps+1]
+ * 
+ * + * \par + * The error signal equals the difference between the reference signal d[n] and the filter output: + *
+ *     e[n] = d[n] - y[n].
+ * 
+ * + * \par + * After each sample of the error signal is computed, the filter coefficients b[k] are updated on a sample-by-sample basis: + *
+ *     b[k] = b[k] + e[n] * mu * x[n-k],  for k=0, 1, ..., numTaps-1
+ * 
+ * where mu is the step size and controls the rate of coefficient convergence. + *\par + * In the APIs, pCoeffs points to a coefficient array of size numTaps. + * Coefficients are stored in time reversed order. + * \par + *
+ *    {b[numTaps-1], b[numTaps-2], b[N-2], ..., b[1], b[0]}
+ * 
+ * \par + * pState points to a state array of size numTaps + blockSize - 1. + * Samples in the state buffer are stored in the order: + * \par + *
+ *    {x[n-numTaps+1], x[n-numTaps], x[n-numTaps-1], x[n-numTaps-2]....x[0], x[1], ..., x[blockSize-1]}
+ * 
+ * \par + * Note that the length of the state buffer exceeds the length of the coefficient array by blockSize-1 samples. + * The increased state buffer length allows circular addressing, which is traditionally used in FIR filters, + * to be avoided and yields a significant speed improvement. + * The state variables are updated after each block of data is processed. + * \par Instance Structure + * The coefficients and state variables for a filter are stored together in an instance data structure. + * A separate instance structure must be defined for each filter and + * coefficient and state arrays cannot be shared among instances. + * There are separate instance structure declarations for each of the 3 supported data types. + * + * \par Initialization Functions + * There is also an associated initialization function for each data type. + * The initialization function performs the following operations: + * - Sets the values of the internal structure fields. + * - Zeros out the values in the state buffer. + * To do this manually without calling the init function, assign the follow subfields of the instance structure: + * numTaps, pCoeffs, mu, postShift (not for f32), pState. Also set all of the values in pState to zero. + * + * \par + * Use of the initialization function is optional. + * However, if the initialization function is used, then the instance structure cannot be placed into a const data section. + * To place an instance structure into a const data section, the instance structure must be manually initialized. + * Set the values in the state buffer to zeros before static initialization. + * The code below statically initializes each of the 3 different data type filter instance structures + *
+ *    arm_lms_instance_f32 S = {numTaps, pState, pCoeffs, mu};
+ *    arm_lms_instance_q31 S = {numTaps, pState, pCoeffs, mu, postShift};
+ *    arm_lms_instance_q15 S = {numTaps, pState, pCoeffs, mu, postShift};
+ * 
+ * where numTaps is the number of filter coefficients in the filter; pState is the address of the state buffer; + * pCoeffs is the address of the coefficient buffer; mu is the step size parameter; and postShift is the shift applied to coefficients. + * + * \par Fixed-Point Behavior: + * Care must be taken when using the Q15 and Q31 versions of the LMS filter. + * The following issues must be considered: + * - Scaling of coefficients + * - Overflow and saturation + * + * \par Scaling of Coefficients: + * Filter coefficients are represented as fractional values and + * coefficients are restricted to lie in the range [-1 +1). + * The fixed-point functions have an additional scaling parameter postShift. + * At the output of the filter's accumulator is a shift register which shifts the result by postShift bits. + * This essentially scales the filter coefficients by 2^postShift and + * allows the filter coefficients to exceed the range [+1 -1). + * The value of postShift is set by the user based on the expected gain through the system being modeled. + * + * \par Overflow and Saturation: + * Overflow and saturation behavior of the fixed-point Q15 and Q31 versions are + * described separately as part of the function specific documentation below. + */ + +/** + * @addtogroup LMS + * @{ + */ + +/** + * @details + * This function operates on floating-point data types. + * + * @brief Processing function for floating-point LMS filter. + * @param[in] *S points to an instance of the floating-point LMS filter structure. + * @param[in] *pSrc points to the block of input data. + * @param[in] *pRef points to the block of reference data. + * @param[out] *pOut points to the block of output data. + * @param[out] *pErr points to the block of error data. + * @param[in] blockSize number of samples to process. + * @return none. + */ + +void arm_lms_f32( + const arm_lms_instance_f32 * S, + float32_t * pSrc, + float32_t * pRef, + float32_t * pOut, + float32_t * pErr, + uint32_t blockSize) +{ + float32_t *pState = S->pState; /* State pointer */ + float32_t *pCoeffs = S->pCoeffs; /* Coefficient pointer */ + float32_t *pStateCurnt; /* Points to the current sample of the state */ + float32_t *px, *pb; /* Temporary pointers for state and coefficient buffers */ + float32_t mu = S->mu; /* Adaptive factor */ + uint32_t numTaps = S->numTaps; /* Number of filter coefficients in the filter */ + uint32_t tapCnt, blkCnt; /* Loop counters */ + float32_t sum, e, d; /* accumulator, error, reference data sample */ + float32_t w = 0.0f; /* weight factor */ + + e = 0.0f; + d = 0.0f; + + /* S->pState points to state array which contains previous frame (numTaps - 1) samples */ + /* pStateCurnt points to the location where the new input data should be written */ + pStateCurnt = &(S->pState[(numTaps - 1U)]); + + blkCnt = blockSize; + + +#if defined (ARM_MATH_DSP) + + /* Run the below code for Cortex-M4 and Cortex-M3 */ + + while (blkCnt > 0U) + { + /* Copy the new input sample into the state buffer */ + *pStateCurnt++ = *pSrc++; + + /* Initialize pState pointer */ + px = pState; + + /* Initialize coeff pointer */ + pb = (pCoeffs); + + /* Set the accumulator to zero */ + sum = 0.0f; + + /* Loop unrolling. Process 4 taps at a time. */ + tapCnt = numTaps >> 2; + + while (tapCnt > 0U) + { + /* Perform the multiply-accumulate */ + sum += (*px++) * (*pb++); + sum += (*px++) * (*pb++); + sum += (*px++) * (*pb++); + sum += (*px++) * (*pb++); + + /* Decrement the loop counter */ + tapCnt--; + } + + /* If the filter length is not a multiple of 4, compute the remaining filter taps */ + tapCnt = numTaps % 0x4U; + + while (tapCnt > 0U) + { + /* Perform the multiply-accumulate */ + sum += (*px++) * (*pb++); + + /* Decrement the loop counter */ + tapCnt--; + } + + /* The result in the accumulator, store in the destination buffer. */ + *pOut++ = sum; + + /* Compute and store error */ + d = (float32_t) (*pRef++); + e = d - sum; + *pErr++ = e; + + /* Calculation of Weighting factor for the updating filter coefficients */ + w = e * mu; + + /* Initialize pState pointer */ + px = pState; + + /* Initialize coeff pointer */ + pb = (pCoeffs); + + /* Loop unrolling. Process 4 taps at a time. */ + tapCnt = numTaps >> 2; + + /* Update filter coefficients */ + while (tapCnt > 0U) + { + /* Perform the multiply-accumulate */ + *pb = *pb + (w * (*px++)); + pb++; + + *pb = *pb + (w * (*px++)); + pb++; + + *pb = *pb + (w * (*px++)); + pb++; + + *pb = *pb + (w * (*px++)); + pb++; + + /* Decrement the loop counter */ + tapCnt--; + } + + /* If the filter length is not a multiple of 4, compute the remaining filter taps */ + tapCnt = numTaps % 0x4U; + + while (tapCnt > 0U) + { + /* Perform the multiply-accumulate */ + *pb = *pb + (w * (*px++)); + pb++; + + /* Decrement the loop counter */ + tapCnt--; + } + + /* Advance state pointer by 1 for the next sample */ + pState = pState + 1; + + /* Decrement the loop counter */ + blkCnt--; + } + + + /* Processing is complete. Now copy the last numTaps - 1 samples to the + satrt of the state buffer. This prepares the state buffer for the + next function call. */ + + /* Points to the start of the pState buffer */ + pStateCurnt = S->pState; + + /* Loop unrolling for (numTaps - 1U) samples copy */ + tapCnt = (numTaps - 1U) >> 2U; + + /* copy data */ + while (tapCnt > 0U) + { + *pStateCurnt++ = *pState++; + *pStateCurnt++ = *pState++; + *pStateCurnt++ = *pState++; + *pStateCurnt++ = *pState++; + + /* Decrement the loop counter */ + tapCnt--; + } + + /* Calculate remaining number of copies */ + tapCnt = (numTaps - 1U) % 0x4U; + + /* Copy the remaining q31_t data */ + while (tapCnt > 0U) + { + *pStateCurnt++ = *pState++; + + /* Decrement the loop counter */ + tapCnt--; + } + +#else + + /* Run the below code for Cortex-M0 */ + + while (blkCnt > 0U) + { + /* Copy the new input sample into the state buffer */ + *pStateCurnt++ = *pSrc++; + + /* Initialize pState pointer */ + px = pState; + + /* Initialize pCoeffs pointer */ + pb = pCoeffs; + + /* Set the accumulator to zero */ + sum = 0.0f; + + /* Loop over numTaps number of values */ + tapCnt = numTaps; + + while (tapCnt > 0U) + { + /* Perform the multiply-accumulate */ + sum += (*px++) * (*pb++); + + /* Decrement the loop counter */ + tapCnt--; + } + + /* The result is stored in the destination buffer. */ + *pOut++ = sum; + + /* Compute and store error */ + d = (float32_t) (*pRef++); + e = d - sum; + *pErr++ = e; + + /* Weighting factor for the LMS version */ + w = e * mu; + + /* Initialize pState pointer */ + px = pState; + + /* Initialize pCoeffs pointer */ + pb = pCoeffs; + + /* Loop over numTaps number of values */ + tapCnt = numTaps; + + while (tapCnt > 0U) + { + /* Perform the multiply-accumulate */ + *pb = *pb + (w * (*px++)); + pb++; + + /* Decrement the loop counter */ + tapCnt--; + } + + /* Advance state pointer by 1 for the next sample */ + pState = pState + 1; + + /* Decrement the loop counter */ + blkCnt--; + } + + + /* Processing is complete. Now copy the last numTaps - 1 samples to the + * start of the state buffer. This prepares the state buffer for the + * next function call. */ + + /* Points to the start of the pState buffer */ + pStateCurnt = S->pState; + + /* Copy (numTaps - 1U) samples */ + tapCnt = (numTaps - 1U); + + /* Copy the data */ + while (tapCnt > 0U) + { + *pStateCurnt++ = *pState++; + + /* Decrement the loop counter */ + tapCnt--; + } + +#endif /* #if defined (ARM_MATH_DSP) */ + +} + +/** + * @} end of LMS group + */ diff --git a/fw/hid-dials/Drivers/CMSIS/DSP/Source/FilteringFunctions/arm_lms_init_f32.c b/fw/hid-dials/Drivers/CMSIS/DSP/Source/FilteringFunctions/arm_lms_init_f32.c new file mode 100644 index 0000000..73158bb --- /dev/null +++ b/fw/hid-dials/Drivers/CMSIS/DSP/Source/FilteringFunctions/arm_lms_init_f32.c @@ -0,0 +1,83 @@ +/* ---------------------------------------------------------------------- + * Project: CMSIS DSP Library + * Title: arm_lms_init_f32.c + * Description: Floating-point LMS filter initialization function + * + * $Date: 27. January 2017 + * $Revision: V.1.5.1 + * + * Target Processor: Cortex-M cores + * -------------------------------------------------------------------- */ +/* + * Copyright (C) 2010-2017 ARM Limited or its affiliates. All rights reserved. + * + * SPDX-License-Identifier: Apache-2.0 + * + * Licensed under the Apache License, Version 2.0 (the License); you may + * not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an AS IS BASIS, WITHOUT + * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ + +#include "arm_math.h" + +/** + * @addtogroup LMS + * @{ + */ + + /** + * @brief Initialization function for floating-point LMS filter. + * @param[in] *S points to an instance of the floating-point LMS filter structure. + * @param[in] numTaps number of filter coefficients. + * @param[in] *pCoeffs points to the coefficient buffer. + * @param[in] *pState points to state buffer. + * @param[in] mu step size that controls filter coefficient updates. + * @param[in] blockSize number of samples to process. + * @return none. + */ + +/** + * \par Description: + * pCoeffs points to the array of filter coefficients stored in time reversed order: + *
+ *    {b[numTaps-1], b[numTaps-2], b[N-2], ..., b[1], b[0]}
+ * 
+ * The initial filter coefficients serve as a starting point for the adaptive filter. + * pState points to an array of length numTaps+blockSize-1 samples, where blockSize is the number of input samples processed by each call to arm_lms_f32(). + */ + +void arm_lms_init_f32( + arm_lms_instance_f32 * S, + uint16_t numTaps, + float32_t * pCoeffs, + float32_t * pState, + float32_t mu, + uint32_t blockSize) +{ + /* Assign filter taps */ + S->numTaps = numTaps; + + /* Assign coefficient pointer */ + S->pCoeffs = pCoeffs; + + /* Clear state buffer and size is always blockSize + numTaps */ + memset(pState, 0, (numTaps + (blockSize - 1)) * sizeof(float32_t)); + + /* Assign state pointer */ + S->pState = pState; + + /* Assign Step size value */ + S->mu = mu; +} + +/** + * @} end of LMS group + */ diff --git a/fw/hid-dials/Drivers/CMSIS/DSP/Source/FilteringFunctions/arm_lms_init_q15.c b/fw/hid-dials/Drivers/CMSIS/DSP/Source/FilteringFunctions/arm_lms_init_q15.c new file mode 100644 index 0000000..001287d --- /dev/null +++ b/fw/hid-dials/Drivers/CMSIS/DSP/Source/FilteringFunctions/arm_lms_init_q15.c @@ -0,0 +1,93 @@ +/* ---------------------------------------------------------------------- + * Project: CMSIS DSP Library + * Title: arm_lms_init_q15.c + * Description: Q15 LMS filter initialization function + * + * $Date: 27. January 2017 + * $Revision: V.1.5.1 + * + * Target Processor: Cortex-M cores + * -------------------------------------------------------------------- */ +/* + * Copyright (C) 2010-2017 ARM Limited or its affiliates. All rights reserved. + * + * SPDX-License-Identifier: Apache-2.0 + * + * Licensed under the Apache License, Version 2.0 (the License); you may + * not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an AS IS BASIS, WITHOUT + * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ + +#include "arm_math.h" + +/** + * @ingroup groupFilters + */ + +/** + * @addtogroup LMS + * @{ + */ + +/** +* @brief Initialization function for the Q15 LMS filter. +* @param[in] *S points to an instance of the Q15 LMS filter structure. +* @param[in] numTaps number of filter coefficients. +* @param[in] *pCoeffs points to the coefficient buffer. +* @param[in] *pState points to the state buffer. +* @param[in] mu step size that controls filter coefficient updates. +* @param[in] blockSize number of samples to process. +* @param[in] postShift bit shift applied to coefficients. +* @return none. +* +* \par Description: +* pCoeffs points to the array of filter coefficients stored in time reversed order: +*
+*    {b[numTaps-1], b[numTaps-2], b[N-2], ..., b[1], b[0]}
+* 
+* The initial filter coefficients serve as a starting point for the adaptive filter. +* pState points to the array of state variables and size of array is +* numTaps+blockSize-1 samples, where blockSize is the number of +* input samples processed by each call to arm_lms_q15(). +*/ + +void arm_lms_init_q15( + arm_lms_instance_q15 * S, + uint16_t numTaps, + q15_t * pCoeffs, + q15_t * pState, + q15_t mu, + uint32_t blockSize, + uint32_t postShift) +{ + /* Assign filter taps */ + S->numTaps = numTaps; + + /* Assign coefficient pointer */ + S->pCoeffs = pCoeffs; + + /* Clear state buffer and size is always blockSize + numTaps - 1 */ + memset(pState, 0, (numTaps + (blockSize - 1U)) * sizeof(q15_t)); + + /* Assign state pointer */ + S->pState = pState; + + /* Assign Step size value */ + S->mu = mu; + + /* Assign postShift value to be applied */ + S->postShift = postShift; + +} + +/** + * @} end of LMS group + */ diff --git a/fw/hid-dials/Drivers/CMSIS/DSP/Source/FilteringFunctions/arm_lms_init_q31.c b/fw/hid-dials/Drivers/CMSIS/DSP/Source/FilteringFunctions/arm_lms_init_q31.c new file mode 100644 index 0000000..7d95d97 --- /dev/null +++ b/fw/hid-dials/Drivers/CMSIS/DSP/Source/FilteringFunctions/arm_lms_init_q31.c @@ -0,0 +1,93 @@ +/* ---------------------------------------------------------------------- + * Project: CMSIS DSP Library + * Title: arm_lms_init_q31.c + * Description: Q31 LMS filter initialization function + * + * $Date: 27. January 2017 + * $Revision: V.1.5.1 + * + * Target Processor: Cortex-M cores + * -------------------------------------------------------------------- */ +/* + * Copyright (C) 2010-2017 ARM Limited or its affiliates. All rights reserved. + * + * SPDX-License-Identifier: Apache-2.0 + * + * Licensed under the Apache License, Version 2.0 (the License); you may + * not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an AS IS BASIS, WITHOUT + * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ + +#include "arm_math.h" + +/** + * @ingroup groupFilters + */ + +/** + * @addtogroup LMS + * @{ + */ + + /** + * @brief Initialization function for Q31 LMS filter. + * @param[in] *S points to an instance of the Q31 LMS filter structure. + * @param[in] numTaps number of filter coefficients. + * @param[in] *pCoeffs points to coefficient buffer. + * @param[in] *pState points to state buffer. + * @param[in] mu step size that controls filter coefficient updates. + * @param[in] blockSize number of samples to process. + * @param[in] postShift bit shift applied to coefficients. + * @return none. + * + * \par Description: + * pCoeffs points to the array of filter coefficients stored in time reversed order: + *
+ *    {b[numTaps-1], b[numTaps-2], b[N-2], ..., b[1], b[0]}
+ * 
+ * The initial filter coefficients serve as a starting point for the adaptive filter. + * pState points to an array of length numTaps+blockSize-1 samples, + * where blockSize is the number of input samples processed by each call to + * arm_lms_q31(). + */ + +void arm_lms_init_q31( + arm_lms_instance_q31 * S, + uint16_t numTaps, + q31_t * pCoeffs, + q31_t * pState, + q31_t mu, + uint32_t blockSize, + uint32_t postShift) +{ + /* Assign filter taps */ + S->numTaps = numTaps; + + /* Assign coefficient pointer */ + S->pCoeffs = pCoeffs; + + /* Clear state buffer and size is always blockSize + numTaps - 1 */ + memset(pState, 0, ((uint32_t) numTaps + (blockSize - 1U)) * sizeof(q31_t)); + + /* Assign state pointer */ + S->pState = pState; + + /* Assign Step size value */ + S->mu = mu; + + /* Assign postShift value to be applied */ + S->postShift = postShift; + +} + +/** + * @} end of LMS group + */ diff --git a/fw/hid-dials/Drivers/CMSIS/DSP/Source/FilteringFunctions/arm_lms_norm_f32.c b/fw/hid-dials/Drivers/CMSIS/DSP/Source/FilteringFunctions/arm_lms_norm_f32.c new file mode 100644 index 0000000..a365b33 --- /dev/null +++ b/fw/hid-dials/Drivers/CMSIS/DSP/Source/FilteringFunctions/arm_lms_norm_f32.c @@ -0,0 +1,454 @@ +/* ---------------------------------------------------------------------- + * Project: CMSIS DSP Library + * Title: arm_lms_norm_f32.c + * Description: Processing function for the floating-point Normalised LMS + * + * $Date: 27. January 2017 + * $Revision: V.1.5.1 + * + * Target Processor: Cortex-M cores + * -------------------------------------------------------------------- */ +/* + * Copyright (C) 2010-2017 ARM Limited or its affiliates. All rights reserved. + * + * SPDX-License-Identifier: Apache-2.0 + * + * Licensed under the Apache License, Version 2.0 (the License); you may + * not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an AS IS BASIS, WITHOUT + * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ + +#include "arm_math.h" + +/** + * @ingroup groupFilters + */ + +/** + * @defgroup LMS_NORM Normalized LMS Filters + * + * This set of functions implements a commonly used adaptive filter. + * It is related to the Least Mean Square (LMS) adaptive filter and includes an additional normalization + * factor which increases the adaptation rate of the filter. + * The CMSIS DSP Library contains normalized LMS filter functions that operate on Q15, Q31, and floating-point data types. + * + * A normalized least mean square (NLMS) filter consists of two components as shown below. + * The first component is a standard transversal or FIR filter. + * The second component is a coefficient update mechanism. + * The NLMS filter has two input signals. + * The "input" feeds the FIR filter while the "reference input" corresponds to the desired output of the FIR filter. + * That is, the FIR filter coefficients are updated so that the output of the FIR filter matches the reference input. + * The filter coefficient update mechanism is based on the difference between the FIR filter output and the reference input. + * This "error signal" tends towards zero as the filter adapts. + * The NLMS processing functions accept the input and reference input signals and generate the filter output and error signal. + * \image html LMS.gif "Internal structure of the NLMS adaptive filter" + * + * The functions operate on blocks of data and each call to the function processes + * blockSize samples through the filter. + * pSrc points to input signal, pRef points to reference signal, + * pOut points to output signal and pErr points to error signal. + * All arrays contain blockSize values. + * + * The functions operate on a block-by-block basis. + * Internally, the filter coefficients b[n] are updated on a sample-by-sample basis. + * The convergence of the LMS filter is slower compared to the normalized LMS algorithm. + * + * \par Algorithm: + * The output signal y[n] is computed by a standard FIR filter: + *
+ *     y[n] = b[0] * x[n] + b[1] * x[n-1] + b[2] * x[n-2] + ...+ b[numTaps-1] * x[n-numTaps+1]
+ * 
+ * + * \par + * The error signal equals the difference between the reference signal d[n] and the filter output: + *
+ *     e[n] = d[n] - y[n].
+ * 
+ * + * \par + * After each sample of the error signal is computed the instanteous energy of the filter state variables is calculated: + *
+ *    E = x[n]^2 + x[n-1]^2 + ... + x[n-numTaps+1]^2.
+ * 
+ * The filter coefficients b[k] are then updated on a sample-by-sample basis: + *
+ *     b[k] = b[k] + e[n] * (mu/E) * x[n-k],  for k=0, 1, ..., numTaps-1
+ * 
+ * where mu is the step size and controls the rate of coefficient convergence. + *\par + * In the APIs, pCoeffs points to a coefficient array of size numTaps. + * Coefficients are stored in time reversed order. + * \par + *
+ *    {b[numTaps-1], b[numTaps-2], b[N-2], ..., b[1], b[0]}
+ * 
+ * \par + * pState points to a state array of size numTaps + blockSize - 1. + * Samples in the state buffer are stored in the order: + * \par + *
+ *    {x[n-numTaps+1], x[n-numTaps], x[n-numTaps-1], x[n-numTaps-2]....x[0], x[1], ..., x[blockSize-1]}
+ * 
+ * \par + * Note that the length of the state buffer exceeds the length of the coefficient array by blockSize-1 samples. + * The increased state buffer length allows circular addressing, which is traditionally used in FIR filters, + * to be avoided and yields a significant speed improvement. + * The state variables are updated after each block of data is processed. + * \par Instance Structure + * The coefficients and state variables for a filter are stored together in an instance data structure. + * A separate instance structure must be defined for each filter and + * coefficient and state arrays cannot be shared among instances. + * There are separate instance structure declarations for each of the 3 supported data types. + * + * \par Initialization Functions + * There is also an associated initialization function for each data type. + * The initialization function performs the following operations: + * - Sets the values of the internal structure fields. + * - Zeros out the values in the state buffer. + * To do this manually without calling the init function, assign the follow subfields of the instance structure: + * numTaps, pCoeffs, mu, energy, x0, pState. Also set all of the values in pState to zero. + * For Q7, Q15, and Q31 the following fields must also be initialized; + * recipTable, postShift + * + * \par + * Instance structure cannot be placed into a const data section and it is recommended to use the initialization function. + * \par Fixed-Point Behavior: + * Care must be taken when using the Q15 and Q31 versions of the normalised LMS filter. + * The following issues must be considered: + * - Scaling of coefficients + * - Overflow and saturation + * + * \par Scaling of Coefficients: + * Filter coefficients are represented as fractional values and + * coefficients are restricted to lie in the range [-1 +1). + * The fixed-point functions have an additional scaling parameter postShift. + * At the output of the filter's accumulator is a shift register which shifts the result by postShift bits. + * This essentially scales the filter coefficients by 2^postShift and + * allows the filter coefficients to exceed the range [+1 -1). + * The value of postShift is set by the user based on the expected gain through the system being modeled. + * + * \par Overflow and Saturation: + * Overflow and saturation behavior of the fixed-point Q15 and Q31 versions are + * described separately as part of the function specific documentation below. + */ + + +/** + * @addtogroup LMS_NORM + * @{ + */ + + + /** + * @brief Processing function for floating-point normalized LMS filter. + * @param[in] *S points to an instance of the floating-point normalized LMS filter structure. + * @param[in] *pSrc points to the block of input data. + * @param[in] *pRef points to the block of reference data. + * @param[out] *pOut points to the block of output data. + * @param[out] *pErr points to the block of error data. + * @param[in] blockSize number of samples to process. + * @return none. + */ + +void arm_lms_norm_f32( + arm_lms_norm_instance_f32 * S, + float32_t * pSrc, + float32_t * pRef, + float32_t * pOut, + float32_t * pErr, + uint32_t blockSize) +{ + float32_t *pState = S->pState; /* State pointer */ + float32_t *pCoeffs = S->pCoeffs; /* Coefficient pointer */ + float32_t *pStateCurnt; /* Points to the current sample of the state */ + float32_t *px, *pb; /* Temporary pointers for state and coefficient buffers */ + float32_t mu = S->mu; /* Adaptive factor */ + uint32_t numTaps = S->numTaps; /* Number of filter coefficients in the filter */ + uint32_t tapCnt, blkCnt; /* Loop counters */ + float32_t energy; /* Energy of the input */ + float32_t sum, e, d; /* accumulator, error, reference data sample */ + float32_t w, x0, in; /* weight factor, temporary variable to hold input sample and state */ + + /* Initializations of error, difference, Coefficient update */ + e = 0.0f; + d = 0.0f; + w = 0.0f; + + energy = S->energy; + x0 = S->x0; + + /* S->pState points to buffer which contains previous frame (numTaps - 1) samples */ + /* pStateCurnt points to the location where the new input data should be written */ + pStateCurnt = &(S->pState[(numTaps - 1U)]); + + /* Loop over blockSize number of values */ + blkCnt = blockSize; + + +#if defined (ARM_MATH_DSP) + + /* Run the below code for Cortex-M4 and Cortex-M3 */ + + while (blkCnt > 0U) + { + /* Copy the new input sample into the state buffer */ + *pStateCurnt++ = *pSrc; + + /* Initialize pState pointer */ + px = pState; + + /* Initialize coeff pointer */ + pb = (pCoeffs); + + /* Read the sample from input buffer */ + in = *pSrc++; + + /* Update the energy calculation */ + energy -= x0 * x0; + energy += in * in; + + /* Set the accumulator to zero */ + sum = 0.0f; + + /* Loop unrolling. Process 4 taps at a time. */ + tapCnt = numTaps >> 2; + + while (tapCnt > 0U) + { + /* Perform the multiply-accumulate */ + sum += (*px++) * (*pb++); + sum += (*px++) * (*pb++); + sum += (*px++) * (*pb++); + sum += (*px++) * (*pb++); + + /* Decrement the loop counter */ + tapCnt--; + } + + /* If the filter length is not a multiple of 4, compute the remaining filter taps */ + tapCnt = numTaps % 0x4U; + + while (tapCnt > 0U) + { + /* Perform the multiply-accumulate */ + sum += (*px++) * (*pb++); + + /* Decrement the loop counter */ + tapCnt--; + } + + /* The result in the accumulator, store in the destination buffer. */ + *pOut++ = sum; + + /* Compute and store error */ + d = (float32_t) (*pRef++); + e = d - sum; + *pErr++ = e; + + /* Calculation of Weighting factor for updating filter coefficients */ + /* epsilon value 0.000000119209289f */ + w = (e * mu) / (energy + 0.000000119209289f); + + /* Initialize pState pointer */ + px = pState; + + /* Initialize coeff pointer */ + pb = (pCoeffs); + + /* Loop unrolling. Process 4 taps at a time. */ + tapCnt = numTaps >> 2; + + /* Update filter coefficients */ + while (tapCnt > 0U) + { + /* Perform the multiply-accumulate */ + *pb += w * (*px++); + pb++; + + *pb += w * (*px++); + pb++; + + *pb += w * (*px++); + pb++; + + *pb += w * (*px++); + pb++; + + + /* Decrement the loop counter */ + tapCnt--; + } + + /* If the filter length is not a multiple of 4, compute the remaining filter taps */ + tapCnt = numTaps % 0x4U; + + while (tapCnt > 0U) + { + /* Perform the multiply-accumulate */ + *pb += w * (*px++); + pb++; + + /* Decrement the loop counter */ + tapCnt--; + } + + x0 = *pState; + + /* Advance state pointer by 1 for the next sample */ + pState = pState + 1; + + /* Decrement the loop counter */ + blkCnt--; + } + + S->energy = energy; + S->x0 = x0; + + /* Processing is complete. Now copy the last numTaps - 1 samples to the + satrt of the state buffer. This prepares the state buffer for the + next function call. */ + + /* Points to the start of the pState buffer */ + pStateCurnt = S->pState; + + /* Loop unrolling for (numTaps - 1U)/4 samples copy */ + tapCnt = (numTaps - 1U) >> 2U; + + /* copy data */ + while (tapCnt > 0U) + { + *pStateCurnt++ = *pState++; + *pStateCurnt++ = *pState++; + *pStateCurnt++ = *pState++; + *pStateCurnt++ = *pState++; + + /* Decrement the loop counter */ + tapCnt--; + } + + /* Calculate remaining number of copies */ + tapCnt = (numTaps - 1U) % 0x4U; + + /* Copy the remaining q31_t data */ + while (tapCnt > 0U) + { + *pStateCurnt++ = *pState++; + + /* Decrement the loop counter */ + tapCnt--; + } + +#else + + /* Run the below code for Cortex-M0 */ + + while (blkCnt > 0U) + { + /* Copy the new input sample into the state buffer */ + *pStateCurnt++ = *pSrc; + + /* Initialize pState pointer */ + px = pState; + + /* Initialize pCoeffs pointer */ + pb = pCoeffs; + + /* Read the sample from input buffer */ + in = *pSrc++; + + /* Update the energy calculation */ + energy -= x0 * x0; + energy += in * in; + + /* Set the accumulator to zero */ + sum = 0.0f; + + /* Loop over numTaps number of values */ + tapCnt = numTaps; + + while (tapCnt > 0U) + { + /* Perform the multiply-accumulate */ + sum += (*px++) * (*pb++); + + /* Decrement the loop counter */ + tapCnt--; + } + + /* The result in the accumulator is stored in the destination buffer. */ + *pOut++ = sum; + + /* Compute and store error */ + d = (float32_t) (*pRef++); + e = d - sum; + *pErr++ = e; + + /* Calculation of Weighting factor for updating filter coefficients */ + /* epsilon value 0.000000119209289f */ + w = (e * mu) / (energy + 0.000000119209289f); + + /* Initialize pState pointer */ + px = pState; + + /* Initialize pCcoeffs pointer */ + pb = pCoeffs; + + /* Loop over numTaps number of values */ + tapCnt = numTaps; + + while (tapCnt > 0U) + { + /* Perform the multiply-accumulate */ + *pb += w * (*px++); + pb++; + + /* Decrement the loop counter */ + tapCnt--; + } + + x0 = *pState; + + /* Advance state pointer by 1 for the next sample */ + pState = pState + 1; + + /* Decrement the loop counter */ + blkCnt--; + } + + S->energy = energy; + S->x0 = x0; + + /* Processing is complete. Now copy the last numTaps - 1 samples to the + satrt of the state buffer. This prepares the state buffer for the + next function call. */ + + /* Points to the start of the pState buffer */ + pStateCurnt = S->pState; + + /* Copy (numTaps - 1U) samples */ + tapCnt = (numTaps - 1U); + + /* Copy the remaining q31_t data */ + while (tapCnt > 0U) + { + *pStateCurnt++ = *pState++; + + /* Decrement the loop counter */ + tapCnt--; + } + +#endif /* #if defined (ARM_MATH_DSP) */ + +} + +/** + * @} end of LMS_NORM group + */ diff --git a/fw/hid-dials/Drivers/CMSIS/DSP/Source/FilteringFunctions/arm_lms_norm_init_f32.c b/fw/hid-dials/Drivers/CMSIS/DSP/Source/FilteringFunctions/arm_lms_norm_init_f32.c new file mode 100644 index 0000000..49272f8 --- /dev/null +++ b/fw/hid-dials/Drivers/CMSIS/DSP/Source/FilteringFunctions/arm_lms_norm_init_f32.c @@ -0,0 +1,93 @@ +/* ---------------------------------------------------------------------- + * Project: CMSIS DSP Library + * Title: arm_lms_norm_init_f32.c + * Description: Floating-point NLMS filter initialization function + * + * $Date: 27. January 2017 + * $Revision: V.1.5.1 + * + * Target Processor: Cortex-M cores + * -------------------------------------------------------------------- */ +/* + * Copyright (C) 2010-2017 ARM Limited or its affiliates. All rights reserved. + * + * SPDX-License-Identifier: Apache-2.0 + * + * Licensed under the Apache License, Version 2.0 (the License); you may + * not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an AS IS BASIS, WITHOUT + * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ + +#include "arm_math.h" + +/** + * @ingroup groupFilters + */ + +/** + * @addtogroup LMS_NORM + * @{ + */ + + /** + * @brief Initialization function for floating-point normalized LMS filter. + * @param[in] *S points to an instance of the floating-point LMS filter structure. + * @param[in] numTaps number of filter coefficients. + * @param[in] *pCoeffs points to coefficient buffer. + * @param[in] *pState points to state buffer. + * @param[in] mu step size that controls filter coefficient updates. + * @param[in] blockSize number of samples to process. + * @return none. + * + * \par Description: + * pCoeffs points to the array of filter coefficients stored in time reversed order: + *
+ *    {b[numTaps-1], b[numTaps-2], b[N-2], ..., b[1], b[0]}
+ * 
+ * The initial filter coefficients serve as a starting point for the adaptive filter. + * pState points to an array of length numTaps+blockSize-1 samples, + * where blockSize is the number of input samples processed by each call to arm_lms_norm_f32(). + */ + +void arm_lms_norm_init_f32( + arm_lms_norm_instance_f32 * S, + uint16_t numTaps, + float32_t * pCoeffs, + float32_t * pState, + float32_t mu, + uint32_t blockSize) +{ + /* Assign filter taps */ + S->numTaps = numTaps; + + /* Assign coefficient pointer */ + S->pCoeffs = pCoeffs; + + /* Clear state buffer and size is always blockSize + numTaps - 1 */ + memset(pState, 0, (numTaps + (blockSize - 1U)) * sizeof(float32_t)); + + /* Assign state pointer */ + S->pState = pState; + + /* Assign Step size value */ + S->mu = mu; + + /* Initialise Energy to zero */ + S->energy = 0.0f; + + /* Initialise x0 to zero */ + S->x0 = 0.0f; + +} + +/** + * @} end of LMS_NORM group + */ diff --git a/fw/hid-dials/Drivers/CMSIS/DSP/Source/FilteringFunctions/arm_lms_norm_init_q15.c b/fw/hid-dials/Drivers/CMSIS/DSP/Source/FilteringFunctions/arm_lms_norm_init_q15.c new file mode 100644 index 0000000..0624222 --- /dev/null +++ b/fw/hid-dials/Drivers/CMSIS/DSP/Source/FilteringFunctions/arm_lms_norm_init_q15.c @@ -0,0 +1,100 @@ +/* ---------------------------------------------------------------------- + * Project: CMSIS DSP Library + * Title: arm_lms_norm_init_q15.c + * Description: Q15 NLMS initialization function + * + * $Date: 27. January 2017 + * $Revision: V.1.5.1 + * + * Target Processor: Cortex-M cores + * -------------------------------------------------------------------- */ +/* + * Copyright (C) 2010-2017 ARM Limited or its affiliates. All rights reserved. + * + * SPDX-License-Identifier: Apache-2.0 + * + * Licensed under the Apache License, Version 2.0 (the License); you may + * not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an AS IS BASIS, WITHOUT + * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ + +#include "arm_math.h" +#include "arm_common_tables.h" + +/** + * @addtogroup LMS_NORM + * @{ + */ + + /** + * @brief Initialization function for Q15 normalized LMS filter. + * @param[in] *S points to an instance of the Q15 normalized LMS filter structure. + * @param[in] numTaps number of filter coefficients. + * @param[in] *pCoeffs points to coefficient buffer. + * @param[in] *pState points to state buffer. + * @param[in] mu step size that controls filter coefficient updates. + * @param[in] blockSize number of samples to process. + * @param[in] postShift bit shift applied to coefficients. + * @return none. + * + * Description: + * \par + * pCoeffs points to the array of filter coefficients stored in time reversed order: + *
+ *    {b[numTaps-1], b[numTaps-2], b[N-2], ..., b[1], b[0]}
+ * 
+ * The initial filter coefficients serve as a starting point for the adaptive filter. + * pState points to the array of state variables and size of array is + * numTaps+blockSize-1 samples, where blockSize is the number of input samples processed + * by each call to arm_lms_norm_q15(). + */ + +void arm_lms_norm_init_q15( + arm_lms_norm_instance_q15 * S, + uint16_t numTaps, + q15_t * pCoeffs, + q15_t * pState, + q15_t mu, + uint32_t blockSize, + uint8_t postShift) +{ + /* Assign filter taps */ + S->numTaps = numTaps; + + /* Assign coefficient pointer */ + S->pCoeffs = pCoeffs; + + /* Clear state buffer and size is always blockSize + numTaps - 1 */ + memset(pState, 0, (numTaps + (blockSize - 1U)) * sizeof(q15_t)); + + /* Assign post Shift value applied to coefficients */ + S->postShift = postShift; + + /* Assign state pointer */ + S->pState = pState; + + /* Assign Step size value */ + S->mu = mu; + + /* Initialize reciprocal pointer table */ + S->recipTable = (q15_t *) armRecipTableQ15; + + /* Initialise Energy to zero */ + S->energy = 0; + + /* Initialise x0 to zero */ + S->x0 = 0; + +} + +/** + * @} end of LMS_NORM group + */ diff --git a/fw/hid-dials/Drivers/CMSIS/DSP/Source/FilteringFunctions/arm_lms_norm_init_q31.c b/fw/hid-dials/Drivers/CMSIS/DSP/Source/FilteringFunctions/arm_lms_norm_init_q31.c new file mode 100644 index 0000000..4f70408 --- /dev/null +++ b/fw/hid-dials/Drivers/CMSIS/DSP/Source/FilteringFunctions/arm_lms_norm_init_q31.c @@ -0,0 +1,99 @@ +/* ---------------------------------------------------------------------- + * Project: CMSIS DSP Library + * Title: arm_lms_norm_init_q31.c + * Description: Q31 NLMS initialization function + * + * $Date: 27. January 2017 + * $Revision: V.1.5.1 + * + * Target Processor: Cortex-M cores + * -------------------------------------------------------------------- */ +/* + * Copyright (C) 2010-2017 ARM Limited or its affiliates. All rights reserved. + * + * SPDX-License-Identifier: Apache-2.0 + * + * Licensed under the Apache License, Version 2.0 (the License); you may + * not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an AS IS BASIS, WITHOUT + * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ + +#include "arm_math.h" +#include "arm_common_tables.h" + +/** + * @addtogroup LMS_NORM + * @{ + */ + + /** + * @brief Initialization function for Q31 normalized LMS filter. + * @param[in] *S points to an instance of the Q31 normalized LMS filter structure. + * @param[in] numTaps number of filter coefficients. + * @param[in] *pCoeffs points to coefficient buffer. + * @param[in] *pState points to state buffer. + * @param[in] mu step size that controls filter coefficient updates. + * @param[in] blockSize number of samples to process. + * @param[in] postShift bit shift applied to coefficients. + * @return none. + * + * Description: + * \par + * pCoeffs points to the array of filter coefficients stored in time reversed order: + *
+ *    {b[numTaps-1], b[numTaps-2], b[N-2], ..., b[1], b[0]}
+ * 
+ * The initial filter coefficients serve as a starting point for the adaptive filter. + * pState points to an array of length numTaps+blockSize-1 samples, + * where blockSize is the number of input samples processed by each call to arm_lms_norm_q31(). + */ + +void arm_lms_norm_init_q31( + arm_lms_norm_instance_q31 * S, + uint16_t numTaps, + q31_t * pCoeffs, + q31_t * pState, + q31_t mu, + uint32_t blockSize, + uint8_t postShift) +{ + /* Assign filter taps */ + S->numTaps = numTaps; + + /* Assign coefficient pointer */ + S->pCoeffs = pCoeffs; + + /* Clear state buffer and size is always blockSize + numTaps - 1 */ + memset(pState, 0, (numTaps + (blockSize - 1U)) * sizeof(q31_t)); + + /* Assign post Shift value applied to coefficients */ + S->postShift = postShift; + + /* Assign state pointer */ + S->pState = pState; + + /* Assign Step size value */ + S->mu = mu; + + /* Initialize reciprocal pointer table */ + S->recipTable = (q31_t *) armRecipTableQ31; + + /* Initialise Energy to zero */ + S->energy = 0; + + /* Initialise x0 to zero */ + S->x0 = 0; + +} + +/** + * @} end of LMS_NORM group + */ diff --git a/fw/hid-dials/Drivers/CMSIS/DSP/Source/FilteringFunctions/arm_lms_norm_q15.c b/fw/hid-dials/Drivers/CMSIS/DSP/Source/FilteringFunctions/arm_lms_norm_q15.c new file mode 100644 index 0000000..00bde39 --- /dev/null +++ b/fw/hid-dials/Drivers/CMSIS/DSP/Source/FilteringFunctions/arm_lms_norm_q15.c @@ -0,0 +1,428 @@ +/* ---------------------------------------------------------------------- + * Project: CMSIS DSP Library + * Title: arm_lms_norm_q15.c + * Description: Q15 NLMS filter + * + * $Date: 27. January 2017 + * $Revision: V.1.5.1 + * + * Target Processor: Cortex-M cores + * -------------------------------------------------------------------- */ +/* + * Copyright (C) 2010-2017 ARM Limited or its affiliates. All rights reserved. + * + * SPDX-License-Identifier: Apache-2.0 + * + * Licensed under the Apache License, Version 2.0 (the License); you may + * not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an AS IS BASIS, WITHOUT + * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ + +#include "arm_math.h" + +/** + * @ingroup groupFilters + */ + +/** + * @addtogroup LMS_NORM + * @{ + */ + +/** +* @brief Processing function for Q15 normalized LMS filter. +* @param[in] *S points to an instance of the Q15 normalized LMS filter structure. +* @param[in] *pSrc points to the block of input data. +* @param[in] *pRef points to the block of reference data. +* @param[out] *pOut points to the block of output data. +* @param[out] *pErr points to the block of error data. +* @param[in] blockSize number of samples to process. +* @return none. +* +* Scaling and Overflow Behavior: +* \par +* The function is implemented using a 64-bit internal accumulator. +* Both coefficients and state variables are represented in 1.15 format and +* multiplications yield a 2.30 result. The 2.30 intermediate results are +* accumulated in a 64-bit accumulator in 34.30 format. +* There is no risk of internal overflow with this approach and the full +* precision of intermediate multiplications is preserved. After all additions +* have been performed, the accumulator is truncated to 34.15 format by +* discarding low 15 bits. Lastly, the accumulator is saturated to yield a +* result in 1.15 format. +* +* \par +* In this filter, filter coefficients are updated for each sample and the updation of filter cofficients are saturted. +* + */ + +void arm_lms_norm_q15( + arm_lms_norm_instance_q15 * S, + q15_t * pSrc, + q15_t * pRef, + q15_t * pOut, + q15_t * pErr, + uint32_t blockSize) +{ + q15_t *pState = S->pState; /* State pointer */ + q15_t *pCoeffs = S->pCoeffs; /* Coefficient pointer */ + q15_t *pStateCurnt; /* Points to the current sample of the state */ + q15_t *px, *pb; /* Temporary pointers for state and coefficient buffers */ + q15_t mu = S->mu; /* Adaptive factor */ + uint32_t numTaps = S->numTaps; /* Number of filter coefficients in the filter */ + uint32_t tapCnt, blkCnt; /* Loop counters */ + q31_t energy; /* Energy of the input */ + q63_t acc; /* Accumulator */ + q15_t e = 0, d = 0; /* error, reference data sample */ + q15_t w = 0, in; /* weight factor and state */ + q15_t x0; /* temporary variable to hold input sample */ + //uint32_t shift = (uint32_t) S->postShift + 1U; /* Shift to be applied to the output */ + q15_t errorXmu, oneByEnergy; /* Temporary variables to store error and mu product and reciprocal of energy */ + q15_t postShift; /* Post shift to be applied to weight after reciprocal calculation */ + q31_t coef; /* Teporary variable for coefficient */ + q31_t acc_l, acc_h; + int32_t lShift = (15 - (int32_t) S->postShift); /* Post shift */ + int32_t uShift = (32 - lShift); + + energy = S->energy; + x0 = S->x0; + + /* S->pState points to buffer which contains previous frame (numTaps - 1) samples */ + /* pStateCurnt points to the location where the new input data should be written */ + pStateCurnt = &(S->pState[(numTaps - 1U)]); + + /* Loop over blockSize number of values */ + blkCnt = blockSize; + + +#if defined (ARM_MATH_DSP) + + /* Run the below code for Cortex-M4 and Cortex-M3 */ + + while (blkCnt > 0U) + { + /* Copy the new input sample into the state buffer */ + *pStateCurnt++ = *pSrc; + + /* Initialize pState pointer */ + px = pState; + + /* Initialize coeff pointer */ + pb = (pCoeffs); + + /* Read the sample from input buffer */ + in = *pSrc++; + + /* Update the energy calculation */ + energy -= (((q31_t) x0 * (x0)) >> 15); + energy += (((q31_t) in * (in)) >> 15); + + /* Set the accumulator to zero */ + acc = 0; + + /* Loop unrolling. Process 4 taps at a time. */ + tapCnt = numTaps >> 2; + + while (tapCnt > 0U) + { + + /* Perform the multiply-accumulate */ +#ifndef UNALIGNED_SUPPORT_DISABLE + + acc = __SMLALD(*__SIMD32(px)++, (*__SIMD32(pb)++), acc); + acc = __SMLALD(*__SIMD32(px)++, (*__SIMD32(pb)++), acc); + +#else + + acc += (((q31_t) * px++ * (*pb++))); + acc += (((q31_t) * px++ * (*pb++))); + acc += (((q31_t) * px++ * (*pb++))); + acc += (((q31_t) * px++ * (*pb++))); + +#endif /* #ifndef UNALIGNED_SUPPORT_DISABLE */ + + /* Decrement the loop counter */ + tapCnt--; + } + + /* If the filter length is not a multiple of 4, compute the remaining filter taps */ + tapCnt = numTaps % 0x4U; + + while (tapCnt > 0U) + { + /* Perform the multiply-accumulate */ + acc += (((q31_t) * px++ * (*pb++))); + + /* Decrement the loop counter */ + tapCnt--; + } + + /* Calc lower part of acc */ + acc_l = acc & 0xffffffff; + + /* Calc upper part of acc */ + acc_h = (acc >> 32) & 0xffffffff; + + /* Apply shift for lower part of acc and upper part of acc */ + acc = (uint32_t) acc_l >> lShift | acc_h << uShift; + + /* Converting the result to 1.15 format and saturate the output */ + acc = __SSAT(acc, 16U); + + /* Store the result from accumulator into the destination buffer. */ + *pOut++ = (q15_t) acc; + + /* Compute and store error */ + d = *pRef++; + e = d - (q15_t) acc; + *pErr++ = e; + + /* Calculation of 1/energy */ + postShift = arm_recip_q15((q15_t) energy + DELTA_Q15, + &oneByEnergy, S->recipTable); + + /* Calculation of e * mu value */ + errorXmu = (q15_t) (((q31_t) e * mu) >> 15); + + /* Calculation of (e * mu) * (1/energy) value */ + acc = (((q31_t) errorXmu * oneByEnergy) >> (15 - postShift)); + + /* Weighting factor for the normalized version */ + w = (q15_t) __SSAT((q31_t) acc, 16); + + /* Initialize pState pointer */ + px = pState; + + /* Initialize coeff pointer */ + pb = (pCoeffs); + + /* Loop unrolling. Process 4 taps at a time. */ + tapCnt = numTaps >> 2; + + /* Update filter coefficients */ + while (tapCnt > 0U) + { + coef = *pb + (((q31_t) w * (*px++)) >> 15); + *pb++ = (q15_t) __SSAT((coef), 16); + coef = *pb + (((q31_t) w * (*px++)) >> 15); + *pb++ = (q15_t) __SSAT((coef), 16); + coef = *pb + (((q31_t) w * (*px++)) >> 15); + *pb++ = (q15_t) __SSAT((coef), 16); + coef = *pb + (((q31_t) w * (*px++)) >> 15); + *pb++ = (q15_t) __SSAT((coef), 16); + + /* Decrement the loop counter */ + tapCnt--; + } + + /* If the filter length is not a multiple of 4, compute the remaining filter taps */ + tapCnt = numTaps % 0x4U; + + while (tapCnt > 0U) + { + /* Perform the multiply-accumulate */ + coef = *pb + (((q31_t) w * (*px++)) >> 15); + *pb++ = (q15_t) __SSAT((coef), 16); + + /* Decrement the loop counter */ + tapCnt--; + } + + /* Read the sample from state buffer */ + x0 = *pState; + + /* Advance state pointer by 1 for the next sample */ + pState = pState + 1U; + + /* Decrement the loop counter */ + blkCnt--; + } + + /* Save energy and x0 values for the next frame */ + S->energy = (q15_t) energy; + S->x0 = x0; + + /* Processing is complete. Now copy the last numTaps - 1 samples to the + satrt of the state buffer. This prepares the state buffer for the + next function call. */ + + /* Points to the start of the pState buffer */ + pStateCurnt = S->pState; + + /* Calculation of count for copying integer writes */ + tapCnt = (numTaps - 1U) >> 2; + + while (tapCnt > 0U) + { + +#ifndef UNALIGNED_SUPPORT_DISABLE + + *__SIMD32(pStateCurnt)++ = *__SIMD32(pState)++; + *__SIMD32(pStateCurnt)++ = *__SIMD32(pState)++; + +#else + + *pStateCurnt++ = *pState++; + *pStateCurnt++ = *pState++; + *pStateCurnt++ = *pState++; + *pStateCurnt++ = *pState++; + +#endif + + tapCnt--; + + } + + /* Calculation of count for remaining q15_t data */ + tapCnt = (numTaps - 1U) % 0x4U; + + /* copy data */ + while (tapCnt > 0U) + { + *pStateCurnt++ = *pState++; + + /* Decrement the loop counter */ + tapCnt--; + } + +#else + + /* Run the below code for Cortex-M0 */ + + while (blkCnt > 0U) + { + /* Copy the new input sample into the state buffer */ + *pStateCurnt++ = *pSrc; + + /* Initialize pState pointer */ + px = pState; + + /* Initialize pCoeffs pointer */ + pb = pCoeffs; + + /* Read the sample from input buffer */ + in = *pSrc++; + + /* Update the energy calculation */ + energy -= (((q31_t) x0 * (x0)) >> 15); + energy += (((q31_t) in * (in)) >> 15); + + /* Set the accumulator to zero */ + acc = 0; + + /* Loop over numTaps number of values */ + tapCnt = numTaps; + + while (tapCnt > 0U) + { + /* Perform the multiply-accumulate */ + acc += (((q31_t) * px++ * (*pb++))); + + /* Decrement the loop counter */ + tapCnt--; + } + + /* Calc lower part of acc */ + acc_l = acc & 0xffffffff; + + /* Calc upper part of acc */ + acc_h = (acc >> 32) & 0xffffffff; + + /* Apply shift for lower part of acc and upper part of acc */ + acc = (uint32_t) acc_l >> lShift | acc_h << uShift; + + /* Converting the result to 1.15 format and saturate the output */ + acc = __SSAT(acc, 16U); + + /* Converting the result to 1.15 format */ + //acc = __SSAT((acc >> (16U - shift)), 16U); + + /* Store the result from accumulator into the destination buffer. */ + *pOut++ = (q15_t) acc; + + /* Compute and store error */ + d = *pRef++; + e = d - (q15_t) acc; + *pErr++ = e; + + /* Calculation of 1/energy */ + postShift = arm_recip_q15((q15_t) energy + DELTA_Q15, + &oneByEnergy, S->recipTable); + + /* Calculation of e * mu value */ + errorXmu = (q15_t) (((q31_t) e * mu) >> 15); + + /* Calculation of (e * mu) * (1/energy) value */ + acc = (((q31_t) errorXmu * oneByEnergy) >> (15 - postShift)); + + /* Weighting factor for the normalized version */ + w = (q15_t) __SSAT((q31_t) acc, 16); + + /* Initialize pState pointer */ + px = pState; + + /* Initialize coeff pointer */ + pb = (pCoeffs); + + /* Loop over numTaps number of values */ + tapCnt = numTaps; + + while (tapCnt > 0U) + { + /* Perform the multiply-accumulate */ + coef = *pb + (((q31_t) w * (*px++)) >> 15); + *pb++ = (q15_t) __SSAT((coef), 16); + + /* Decrement the loop counter */ + tapCnt--; + } + + /* Read the sample from state buffer */ + x0 = *pState; + + /* Advance state pointer by 1 for the next sample */ + pState = pState + 1U; + + /* Decrement the loop counter */ + blkCnt--; + } + + /* Save energy and x0 values for the next frame */ + S->energy = (q15_t) energy; + S->x0 = x0; + + /* Processing is complete. Now copy the last numTaps - 1 samples to the + satrt of the state buffer. This prepares the state buffer for the + next function call. */ + + /* Points to the start of the pState buffer */ + pStateCurnt = S->pState; + + /* copy (numTaps - 1U) data */ + tapCnt = (numTaps - 1U); + + /* copy data */ + while (tapCnt > 0U) + { + *pStateCurnt++ = *pState++; + + /* Decrement the loop counter */ + tapCnt--; + } + +#endif /* #if defined (ARM_MATH_DSP) */ + +} + + +/** + * @} end of LMS_NORM group + */ diff --git a/fw/hid-dials/Drivers/CMSIS/DSP/Source/FilteringFunctions/arm_lms_norm_q31.c b/fw/hid-dials/Drivers/CMSIS/DSP/Source/FilteringFunctions/arm_lms_norm_q31.c new file mode 100644 index 0000000..bc65fa6 --- /dev/null +++ b/fw/hid-dials/Drivers/CMSIS/DSP/Source/FilteringFunctions/arm_lms_norm_q31.c @@ -0,0 +1,419 @@ +/* ---------------------------------------------------------------------- + * Project: CMSIS DSP Library + * Title: arm_lms_norm_q31.c + * Description: Processing function for the Q31 NLMS filter + * + * $Date: 27. January 2017 + * $Revision: V.1.5.1 + * + * Target Processor: Cortex-M cores + * -------------------------------------------------------------------- */ +/* + * Copyright (C) 2010-2017 ARM Limited or its affiliates. All rights reserved. + * + * SPDX-License-Identifier: Apache-2.0 + * + * Licensed under the Apache License, Version 2.0 (the License); you may + * not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an AS IS BASIS, WITHOUT + * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ + +#include "arm_math.h" + +/** + * @ingroup groupFilters + */ + +/** + * @addtogroup LMS_NORM + * @{ + */ + +/** +* @brief Processing function for Q31 normalized LMS filter. +* @param[in] *S points to an instance of the Q31 normalized LMS filter structure. +* @param[in] *pSrc points to the block of input data. +* @param[in] *pRef points to the block of reference data. +* @param[out] *pOut points to the block of output data. +* @param[out] *pErr points to the block of error data. +* @param[in] blockSize number of samples to process. +* @return none. +* +* Scaling and Overflow Behavior: +* \par +* The function is implemented using an internal 64-bit accumulator. +* The accumulator has a 2.62 format and maintains full precision of the intermediate +* multiplication results but provides only a single guard bit. +* Thus, if the accumulator result overflows it wraps around rather than clip. +* In order to avoid overflows completely the input signal must be scaled down by +* log2(numTaps) bits. The reference signal should not be scaled down. +* After all multiply-accumulates are performed, the 2.62 accumulator is shifted +* and saturated to 1.31 format to yield the final result. +* The output signal and error signal are in 1.31 format. +* +* \par +* In this filter, filter coefficients are updated for each sample and the +* updation of filter cofficients are saturted. +* +*/ + +void arm_lms_norm_q31( + arm_lms_norm_instance_q31 * S, + q31_t * pSrc, + q31_t * pRef, + q31_t * pOut, + q31_t * pErr, + uint32_t blockSize) +{ + q31_t *pState = S->pState; /* State pointer */ + q31_t *pCoeffs = S->pCoeffs; /* Coefficient pointer */ + q31_t *pStateCurnt; /* Points to the current sample of the state */ + q31_t *px, *pb; /* Temporary pointers for state and coefficient buffers */ + q31_t mu = S->mu; /* Adaptive factor */ + uint32_t numTaps = S->numTaps; /* Number of filter coefficients in the filter */ + uint32_t tapCnt, blkCnt; /* Loop counters */ + q63_t energy; /* Energy of the input */ + q63_t acc; /* Accumulator */ + q31_t e = 0, d = 0; /* error, reference data sample */ + q31_t w = 0, in; /* weight factor and state */ + q31_t x0; /* temporary variable to hold input sample */ +// uint32_t shift = 32U - ((uint32_t) S->postShift + 1U); /* Shift to be applied to the output */ + q31_t errorXmu, oneByEnergy; /* Temporary variables to store error and mu product and reciprocal of energy */ + q31_t postShift; /* Post shift to be applied to weight after reciprocal calculation */ + q31_t coef; /* Temporary variable for coef */ + q31_t acc_l, acc_h; /* temporary input */ + uint32_t uShift = ((uint32_t) S->postShift + 1U); + uint32_t lShift = 32U - uShift; /* Shift to be applied to the output */ + + energy = S->energy; + x0 = S->x0; + + /* S->pState points to buffer which contains previous frame (numTaps - 1) samples */ + /* pStateCurnt points to the location where the new input data should be written */ + pStateCurnt = &(S->pState[(numTaps - 1U)]); + + /* Loop over blockSize number of values */ + blkCnt = blockSize; + + +#if defined (ARM_MATH_DSP) + + /* Run the below code for Cortex-M4 and Cortex-M3 */ + + while (blkCnt > 0U) + { + + /* Copy the new input sample into the state buffer */ + *pStateCurnt++ = *pSrc; + + /* Initialize pState pointer */ + px = pState; + + /* Initialize coeff pointer */ + pb = (pCoeffs); + + /* Read the sample from input buffer */ + in = *pSrc++; + + /* Update the energy calculation */ + energy = (q31_t) ((((q63_t) energy << 32) - + (((q63_t) x0 * x0) << 1)) >> 32); + energy = (q31_t) (((((q63_t) in * in) << 1) + (energy << 32)) >> 32); + + /* Set the accumulator to zero */ + acc = 0; + + /* Loop unrolling. Process 4 taps at a time. */ + tapCnt = numTaps >> 2; + + while (tapCnt > 0U) + { + /* Perform the multiply-accumulate */ + acc += ((q63_t) (*px++)) * (*pb++); + acc += ((q63_t) (*px++)) * (*pb++); + acc += ((q63_t) (*px++)) * (*pb++); + acc += ((q63_t) (*px++)) * (*pb++); + + /* Decrement the loop counter */ + tapCnt--; + } + + /* If the filter length is not a multiple of 4, compute the remaining filter taps */ + tapCnt = numTaps % 0x4U; + + while (tapCnt > 0U) + { + /* Perform the multiply-accumulate */ + acc += ((q63_t) (*px++)) * (*pb++); + + /* Decrement the loop counter */ + tapCnt--; + } + + /* Converting the result to 1.31 format */ + /* Calc lower part of acc */ + acc_l = acc & 0xffffffff; + + /* Calc upper part of acc */ + acc_h = (acc >> 32) & 0xffffffff; + + acc = (uint32_t) acc_l >> lShift | acc_h << uShift; + + /* Store the result from accumulator into the destination buffer. */ + *pOut++ = (q31_t) acc; + + /* Compute and store error */ + d = *pRef++; + e = d - (q31_t) acc; + *pErr++ = e; + + /* Calculates the reciprocal of energy */ + postShift = arm_recip_q31(energy + DELTA_Q31, + &oneByEnergy, &S->recipTable[0]); + + /* Calculation of product of (e * mu) */ + errorXmu = (q31_t) (((q63_t) e * mu) >> 31); + + /* Weighting factor for the normalized version */ + w = clip_q63_to_q31(((q63_t) errorXmu * oneByEnergy) >> (31 - postShift)); + + /* Initialize pState pointer */ + px = pState; + + /* Initialize coeff pointer */ + pb = (pCoeffs); + + /* Loop unrolling. Process 4 taps at a time. */ + tapCnt = numTaps >> 2; + + /* Update filter coefficients */ + while (tapCnt > 0U) + { + /* Perform the multiply-accumulate */ + + /* coef is in 2.30 format */ + coef = (q31_t) (((q63_t) w * (*px++)) >> (32)); + /* get coef in 1.31 format by left shifting */ + *pb = clip_q63_to_q31((q63_t) * pb + (coef << 1U)); + /* update coefficient buffer to next coefficient */ + pb++; + + coef = (q31_t) (((q63_t) w * (*px++)) >> (32)); + *pb = clip_q63_to_q31((q63_t) * pb + (coef << 1U)); + pb++; + + coef = (q31_t) (((q63_t) w * (*px++)) >> (32)); + *pb = clip_q63_to_q31((q63_t) * pb + (coef << 1U)); + pb++; + + coef = (q31_t) (((q63_t) w * (*px++)) >> (32)); + *pb = clip_q63_to_q31((q63_t) * pb + (coef << 1U)); + pb++; + + /* Decrement the loop counter */ + tapCnt--; + } + + /* If the filter length is not a multiple of 4, compute the remaining filter taps */ + tapCnt = numTaps % 0x4U; + + while (tapCnt > 0U) + { + /* Perform the multiply-accumulate */ + coef = (q31_t) (((q63_t) w * (*px++)) >> (32)); + *pb = clip_q63_to_q31((q63_t) * pb + (coef << 1U)); + pb++; + + /* Decrement the loop counter */ + tapCnt--; + } + + /* Read the sample from state buffer */ + x0 = *pState; + + /* Advance state pointer by 1 for the next sample */ + pState = pState + 1; + + /* Decrement the loop counter */ + blkCnt--; + } + + /* Save energy and x0 values for the next frame */ + S->energy = (q31_t) energy; + S->x0 = x0; + + /* Processing is complete. Now copy the last numTaps - 1 samples to the + satrt of the state buffer. This prepares the state buffer for the + next function call. */ + + /* Points to the start of the pState buffer */ + pStateCurnt = S->pState; + + /* Loop unrolling for (numTaps - 1U) samples copy */ + tapCnt = (numTaps - 1U) >> 2U; + + /* copy data */ + while (tapCnt > 0U) + { + *pStateCurnt++ = *pState++; + *pStateCurnt++ = *pState++; + *pStateCurnt++ = *pState++; + *pStateCurnt++ = *pState++; + + /* Decrement the loop counter */ + tapCnt--; + } + + /* Calculate remaining number of copies */ + tapCnt = (numTaps - 1U) % 0x4U; + + /* Copy the remaining q31_t data */ + while (tapCnt > 0U) + { + *pStateCurnt++ = *pState++; + + /* Decrement the loop counter */ + tapCnt--; + } + +#else + + /* Run the below code for Cortex-M0 */ + + while (blkCnt > 0U) + { + + /* Copy the new input sample into the state buffer */ + *pStateCurnt++ = *pSrc; + + /* Initialize pState pointer */ + px = pState; + + /* Initialize pCoeffs pointer */ + pb = pCoeffs; + + /* Read the sample from input buffer */ + in = *pSrc++; + + /* Update the energy calculation */ + energy = + (q31_t) ((((q63_t) energy << 32) - (((q63_t) x0 * x0) << 1)) >> 32); + energy = (q31_t) (((((q63_t) in * in) << 1) + (energy << 32)) >> 32); + + /* Set the accumulator to zero */ + acc = 0; + + /* Loop over numTaps number of values */ + tapCnt = numTaps; + + while (tapCnt > 0U) + { + /* Perform the multiply-accumulate */ + acc += ((q63_t) (*px++)) * (*pb++); + + /* Decrement the loop counter */ + tapCnt--; + } + + /* Converting the result to 1.31 format */ + /* Converting the result to 1.31 format */ + /* Calc lower part of acc */ + acc_l = acc & 0xffffffff; + + /* Calc upper part of acc */ + acc_h = (acc >> 32) & 0xffffffff; + + acc = (uint32_t) acc_l >> lShift | acc_h << uShift; + + + //acc = (q31_t) (acc >> shift); + + /* Store the result from accumulator into the destination buffer. */ + *pOut++ = (q31_t) acc; + + /* Compute and store error */ + d = *pRef++; + e = d - (q31_t) acc; + *pErr++ = e; + + /* Calculates the reciprocal of energy */ + postShift = + arm_recip_q31(energy + DELTA_Q31, &oneByEnergy, &S->recipTable[0]); + + /* Calculation of product of (e * mu) */ + errorXmu = (q31_t) (((q63_t) e * mu) >> 31); + + /* Weighting factor for the normalized version */ + w = clip_q63_to_q31(((q63_t) errorXmu * oneByEnergy) >> (31 - postShift)); + + /* Initialize pState pointer */ + px = pState; + + /* Initialize coeff pointer */ + pb = (pCoeffs); + + /* Loop over numTaps number of values */ + tapCnt = numTaps; + + while (tapCnt > 0U) + { + /* Perform the multiply-accumulate */ + /* coef is in 2.30 format */ + coef = (q31_t) (((q63_t) w * (*px++)) >> (32)); + /* get coef in 1.31 format by left shifting */ + *pb = clip_q63_to_q31((q63_t) * pb + (coef << 1U)); + /* update coefficient buffer to next coefficient */ + pb++; + + /* Decrement the loop counter */ + tapCnt--; + } + + /* Read the sample from state buffer */ + x0 = *pState; + + /* Advance state pointer by 1 for the next sample */ + pState = pState + 1; + + /* Decrement the loop counter */ + blkCnt--; + } + + /* Save energy and x0 values for the next frame */ + S->energy = (q31_t) energy; + S->x0 = x0; + + /* Processing is complete. Now copy the last numTaps - 1 samples to the + start of the state buffer. This prepares the state buffer for the + next function call. */ + + /* Points to the start of the pState buffer */ + pStateCurnt = S->pState; + + /* Loop for (numTaps - 1U) samples copy */ + tapCnt = (numTaps - 1U); + + /* Copy the remaining q31_t data */ + while (tapCnt > 0U) + { + *pStateCurnt++ = *pState++; + + /* Decrement the loop counter */ + tapCnt--; + } + +#endif /* #if defined (ARM_MATH_DSP) */ + +} + +/** + * @} end of LMS_NORM group + */ diff --git a/fw/hid-dials/Drivers/CMSIS/DSP/Source/FilteringFunctions/arm_lms_q15.c b/fw/hid-dials/Drivers/CMSIS/DSP/Source/FilteringFunctions/arm_lms_q15.c new file mode 100644 index 0000000..8d5226e --- /dev/null +++ b/fw/hid-dials/Drivers/CMSIS/DSP/Source/FilteringFunctions/arm_lms_q15.c @@ -0,0 +1,368 @@ +/* ---------------------------------------------------------------------- + * Project: CMSIS DSP Library + * Title: arm_lms_q15.c + * Description: Processing function for the Q15 LMS filter + * + * $Date: 27. January 2017 + * $Revision: V.1.5.1 + * + * Target Processor: Cortex-M cores + * -------------------------------------------------------------------- */ +/* + * Copyright (C) 2010-2017 ARM Limited or its affiliates. All rights reserved. + * + * SPDX-License-Identifier: Apache-2.0 + * + * Licensed under the Apache License, Version 2.0 (the License); you may + * not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an AS IS BASIS, WITHOUT + * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ + +#include "arm_math.h" +/** + * @ingroup groupFilters + */ + +/** + * @addtogroup LMS + * @{ + */ + + /** + * @brief Processing function for Q15 LMS filter. + * @param[in] *S points to an instance of the Q15 LMS filter structure. + * @param[in] *pSrc points to the block of input data. + * @param[in] *pRef points to the block of reference data. + * @param[out] *pOut points to the block of output data. + * @param[out] *pErr points to the block of error data. + * @param[in] blockSize number of samples to process. + * @return none. + * + * \par Scaling and Overflow Behavior: + * The function is implemented using a 64-bit internal accumulator. + * Both coefficients and state variables are represented in 1.15 format and multiplications yield a 2.30 result. + * The 2.30 intermediate results are accumulated in a 64-bit accumulator in 34.30 format. + * There is no risk of internal overflow with this approach and the full precision of intermediate multiplications is preserved. + * After all additions have been performed, the accumulator is truncated to 34.15 format by discarding low 15 bits. + * Lastly, the accumulator is saturated to yield a result in 1.15 format. + * + * \par + * In this filter, filter coefficients are updated for each sample and the updation of filter cofficients are saturted. + * + */ + +void arm_lms_q15( + const arm_lms_instance_q15 * S, + q15_t * pSrc, + q15_t * pRef, + q15_t * pOut, + q15_t * pErr, + uint32_t blockSize) +{ + q15_t *pState = S->pState; /* State pointer */ + uint32_t numTaps = S->numTaps; /* Number of filter coefficients in the filter */ + q15_t *pCoeffs = S->pCoeffs; /* Coefficient pointer */ + q15_t *pStateCurnt; /* Points to the current sample of the state */ + q15_t mu = S->mu; /* Adaptive factor */ + q15_t *px; /* Temporary pointer for state */ + q15_t *pb; /* Temporary pointer for coefficient buffer */ + uint32_t tapCnt, blkCnt; /* Loop counters */ + q63_t acc; /* Accumulator */ + q15_t e = 0; /* error of data sample */ + q15_t alpha; /* Intermediate constant for taps update */ + q31_t coef; /* Teporary variable for coefficient */ + q31_t acc_l, acc_h; + int32_t lShift = (15 - (int32_t) S->postShift); /* Post shift */ + int32_t uShift = (32 - lShift); + + +#if defined (ARM_MATH_DSP) + + /* Run the below code for Cortex-M4 and Cortex-M3 */ + + + /* S->pState points to buffer which contains previous frame (numTaps - 1) samples */ + /* pStateCurnt points to the location where the new input data should be written */ + pStateCurnt = &(S->pState[(numTaps - 1U)]); + + /* Initializing blkCnt with blockSize */ + blkCnt = blockSize; + + while (blkCnt > 0U) + { + /* Copy the new input sample into the state buffer */ + *pStateCurnt++ = *pSrc++; + + /* Initialize state pointer */ + px = pState; + + /* Initialize coefficient pointer */ + pb = pCoeffs; + + /* Set the accumulator to zero */ + acc = 0; + + /* Loop unrolling. Process 4 taps at a time. */ + tapCnt = numTaps >> 2U; + + while (tapCnt > 0U) + { + /* acc += b[N] * x[n-N] + b[N-1] * x[n-N-1] */ + /* Perform the multiply-accumulate */ +#ifndef UNALIGNED_SUPPORT_DISABLE + + acc = __SMLALD(*__SIMD32(px)++, (*__SIMD32(pb)++), acc); + acc = __SMLALD(*__SIMD32(px)++, (*__SIMD32(pb)++), acc); + +#else + + acc += (q63_t) (((q31_t) (*px++) * (*pb++))); + acc += (q63_t) (((q31_t) (*px++) * (*pb++))); + acc += (q63_t) (((q31_t) (*px++) * (*pb++))); + acc += (q63_t) (((q31_t) (*px++) * (*pb++))); + + +#endif /* #ifndef UNALIGNED_SUPPORT_DISABLE */ + + /* Decrement the loop counter */ + tapCnt--; + } + + /* If the filter length is not a multiple of 4, compute the remaining filter taps */ + tapCnt = numTaps % 0x4U; + + while (tapCnt > 0U) + { + /* Perform the multiply-accumulate */ + acc += (q63_t) (((q31_t) (*px++) * (*pb++))); + + /* Decrement the loop counter */ + tapCnt--; + } + + /* Calc lower part of acc */ + acc_l = acc & 0xffffffff; + + /* Calc upper part of acc */ + acc_h = (acc >> 32) & 0xffffffff; + + /* Apply shift for lower part of acc and upper part of acc */ + acc = (uint32_t) acc_l >> lShift | acc_h << uShift; + + /* Converting the result to 1.15 format and saturate the output */ + acc = __SSAT(acc, 16); + + /* Store the result from accumulator into the destination buffer. */ + *pOut++ = (q15_t) acc; + + /* Compute and store error */ + e = *pRef++ - (q15_t) acc; + + *pErr++ = (q15_t) e; + + /* Compute alpha i.e. intermediate constant for taps update */ + alpha = (q15_t) (((q31_t) e * (mu)) >> 15); + + /* Initialize state pointer */ + /* Advance state pointer by 1 for the next sample */ + px = pState++; + + /* Initialize coefficient pointer */ + pb = pCoeffs; + + /* Loop unrolling. Process 4 taps at a time. */ + tapCnt = numTaps >> 2U; + + /* Update filter coefficients */ + while (tapCnt > 0U) + { + coef = (q31_t) * pb + (((q31_t) alpha * (*px++)) >> 15); + *pb++ = (q15_t) __SSAT((coef), 16); + coef = (q31_t) * pb + (((q31_t) alpha * (*px++)) >> 15); + *pb++ = (q15_t) __SSAT((coef), 16); + coef = (q31_t) * pb + (((q31_t) alpha * (*px++)) >> 15); + *pb++ = (q15_t) __SSAT((coef), 16); + coef = (q31_t) * pb + (((q31_t) alpha * (*px++)) >> 15); + *pb++ = (q15_t) __SSAT((coef), 16); + + /* Decrement the loop counter */ + tapCnt--; + } + + /* If the filter length is not a multiple of 4, compute the remaining filter taps */ + tapCnt = numTaps % 0x4U; + + while (tapCnt > 0U) + { + /* Perform the multiply-accumulate */ + coef = (q31_t) * pb + (((q31_t) alpha * (*px++)) >> 15); + *pb++ = (q15_t) __SSAT((coef), 16); + + /* Decrement the loop counter */ + tapCnt--; + } + + /* Decrement the loop counter */ + blkCnt--; + + } + + /* Processing is complete. Now copy the last numTaps - 1 samples to the + satrt of the state buffer. This prepares the state buffer for the + next function call. */ + + /* Points to the start of the pState buffer */ + pStateCurnt = S->pState; + + /* Calculation of count for copying integer writes */ + tapCnt = (numTaps - 1U) >> 2; + + while (tapCnt > 0U) + { + +#ifndef UNALIGNED_SUPPORT_DISABLE + + *__SIMD32(pStateCurnt)++ = *__SIMD32(pState)++; + *__SIMD32(pStateCurnt)++ = *__SIMD32(pState)++; +#else + *pStateCurnt++ = *pState++; + *pStateCurnt++ = *pState++; + *pStateCurnt++ = *pState++; + *pStateCurnt++ = *pState++; +#endif + + tapCnt--; + + } + + /* Calculation of count for remaining q15_t data */ + tapCnt = (numTaps - 1U) % 0x4U; + + /* copy data */ + while (tapCnt > 0U) + { + *pStateCurnt++ = *pState++; + + /* Decrement the loop counter */ + tapCnt--; + } + +#else + + /* Run the below code for Cortex-M0 */ + + /* S->pState points to buffer which contains previous frame (numTaps - 1) samples */ + /* pStateCurnt points to the location where the new input data should be written */ + pStateCurnt = &(S->pState[(numTaps - 1U)]); + + /* Loop over blockSize number of values */ + blkCnt = blockSize; + + while (blkCnt > 0U) + { + /* Copy the new input sample into the state buffer */ + *pStateCurnt++ = *pSrc++; + + /* Initialize pState pointer */ + px = pState; + + /* Initialize pCoeffs pointer */ + pb = pCoeffs; + + /* Set the accumulator to zero */ + acc = 0; + + /* Loop over numTaps number of values */ + tapCnt = numTaps; + + while (tapCnt > 0U) + { + /* Perform the multiply-accumulate */ + acc += (q63_t) ((q31_t) (*px++) * (*pb++)); + + /* Decrement the loop counter */ + tapCnt--; + } + + /* Calc lower part of acc */ + acc_l = acc & 0xffffffff; + + /* Calc upper part of acc */ + acc_h = (acc >> 32) & 0xffffffff; + + /* Apply shift for lower part of acc and upper part of acc */ + acc = (uint32_t) acc_l >> lShift | acc_h << uShift; + + /* Converting the result to 1.15 format and saturate the output */ + acc = __SSAT(acc, 16); + + /* Store the result from accumulator into the destination buffer. */ + *pOut++ = (q15_t) acc; + + /* Compute and store error */ + e = *pRef++ - (q15_t) acc; + + *pErr++ = (q15_t) e; + + /* Compute alpha i.e. intermediate constant for taps update */ + alpha = (q15_t) (((q31_t) e * (mu)) >> 15); + + /* Initialize pState pointer */ + /* Advance state pointer by 1 for the next sample */ + px = pState++; + + /* Initialize pCoeffs pointer */ + pb = pCoeffs; + + /* Loop over numTaps number of values */ + tapCnt = numTaps; + + while (tapCnt > 0U) + { + /* Perform the multiply-accumulate */ + coef = (q31_t) * pb + (((q31_t) alpha * (*px++)) >> 15); + *pb++ = (q15_t) __SSAT((coef), 16); + + /* Decrement the loop counter */ + tapCnt--; + } + + /* Decrement the loop counter */ + blkCnt--; + + } + + /* Processing is complete. Now copy the last numTaps - 1 samples to the + start of the state buffer. This prepares the state buffer for the + next function call. */ + + /* Points to the start of the pState buffer */ + pStateCurnt = S->pState; + + /* Copy (numTaps - 1U) samples */ + tapCnt = (numTaps - 1U); + + /* Copy the data */ + while (tapCnt > 0U) + { + *pStateCurnt++ = *pState++; + + /* Decrement the loop counter */ + tapCnt--; + } + +#endif /* #if defined (ARM_MATH_DSP) */ + +} + +/** + * @} end of LMS group + */ diff --git a/fw/hid-dials/Drivers/CMSIS/DSP/Source/FilteringFunctions/arm_lms_q31.c b/fw/hid-dials/Drivers/CMSIS/DSP/Source/FilteringFunctions/arm_lms_q31.c new file mode 100644 index 0000000..66b2a91 --- /dev/null +++ b/fw/hid-dials/Drivers/CMSIS/DSP/Source/FilteringFunctions/arm_lms_q31.c @@ -0,0 +1,357 @@ +/* ---------------------------------------------------------------------- + * Project: CMSIS DSP Library + * Title: arm_lms_q31.c + * Description: Processing function for the Q31 LMS filter + * + * $Date: 27. January 2017 + * $Revision: V.1.5.1 + * + * Target Processor: Cortex-M cores + * -------------------------------------------------------------------- */ +/* + * Copyright (C) 2010-2017 ARM Limited or its affiliates. All rights reserved. + * + * SPDX-License-Identifier: Apache-2.0 + * + * Licensed under the Apache License, Version 2.0 (the License); you may + * not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an AS IS BASIS, WITHOUT + * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ + +#include "arm_math.h" +/** + * @ingroup groupFilters + */ + +/** + * @addtogroup LMS + * @{ + */ + + /** + * @brief Processing function for Q31 LMS filter. + * @param[in] *S points to an instance of the Q15 LMS filter structure. + * @param[in] *pSrc points to the block of input data. + * @param[in] *pRef points to the block of reference data. + * @param[out] *pOut points to the block of output data. + * @param[out] *pErr points to the block of error data. + * @param[in] blockSize number of samples to process. + * @return none. + * + * \par Scaling and Overflow Behavior: + * The function is implemented using an internal 64-bit accumulator. + * The accumulator has a 2.62 format and maintains full precision of the intermediate + * multiplication results but provides only a single guard bit. + * Thus, if the accumulator result overflows it wraps around rather than clips. + * In order to avoid overflows completely the input signal must be scaled down by + * log2(numTaps) bits. + * The reference signal should not be scaled down. + * After all multiply-accumulates are performed, the 2.62 accumulator is shifted + * and saturated to 1.31 format to yield the final result. + * The output signal and error signal are in 1.31 format. + * + * \par + * In this filter, filter coefficients are updated for each sample and the updation of filter cofficients are saturted. + */ + +void arm_lms_q31( + const arm_lms_instance_q31 * S, + q31_t * pSrc, + q31_t * pRef, + q31_t * pOut, + q31_t * pErr, + uint32_t blockSize) +{ + q31_t *pState = S->pState; /* State pointer */ + uint32_t numTaps = S->numTaps; /* Number of filter coefficients in the filter */ + q31_t *pCoeffs = S->pCoeffs; /* Coefficient pointer */ + q31_t *pStateCurnt; /* Points to the current sample of the state */ + q31_t mu = S->mu; /* Adaptive factor */ + q31_t *px; /* Temporary pointer for state */ + q31_t *pb; /* Temporary pointer for coefficient buffer */ + uint32_t tapCnt, blkCnt; /* Loop counters */ + q63_t acc; /* Accumulator */ + q31_t e = 0; /* error of data sample */ + q31_t alpha; /* Intermediate constant for taps update */ + q31_t coef; /* Temporary variable for coef */ + q31_t acc_l, acc_h; /* temporary input */ + uint32_t uShift = ((uint32_t) S->postShift + 1U); + uint32_t lShift = 32U - uShift; /* Shift to be applied to the output */ + + /* S->pState points to buffer which contains previous frame (numTaps - 1) samples */ + /* pStateCurnt points to the location where the new input data should be written */ + pStateCurnt = &(S->pState[(numTaps - 1U)]); + + /* Initializing blkCnt with blockSize */ + blkCnt = blockSize; + + +#if defined (ARM_MATH_DSP) + + /* Run the below code for Cortex-M4 and Cortex-M3 */ + + while (blkCnt > 0U) + { + /* Copy the new input sample into the state buffer */ + *pStateCurnt++ = *pSrc++; + + /* Initialize state pointer */ + px = pState; + + /* Initialize coefficient pointer */ + pb = pCoeffs; + + /* Set the accumulator to zero */ + acc = 0; + + /* Loop unrolling. Process 4 taps at a time. */ + tapCnt = numTaps >> 2; + + while (tapCnt > 0U) + { + /* Perform the multiply-accumulate */ + /* acc += b[N] * x[n-N] */ + acc += ((q63_t) (*px++)) * (*pb++); + + /* acc += b[N-1] * x[n-N-1] */ + acc += ((q63_t) (*px++)) * (*pb++); + + /* acc += b[N-2] * x[n-N-2] */ + acc += ((q63_t) (*px++)) * (*pb++); + + /* acc += b[N-3] * x[n-N-3] */ + acc += ((q63_t) (*px++)) * (*pb++); + + /* Decrement the loop counter */ + tapCnt--; + } + + /* If the filter length is not a multiple of 4, compute the remaining filter taps */ + tapCnt = numTaps % 0x4U; + + while (tapCnt > 0U) + { + /* Perform the multiply-accumulate */ + acc += ((q63_t) (*px++)) * (*pb++); + + /* Decrement the loop counter */ + tapCnt--; + } + + /* Converting the result to 1.31 format */ + /* Calc lower part of acc */ + acc_l = acc & 0xffffffff; + + /* Calc upper part of acc */ + acc_h = (acc >> 32) & 0xffffffff; + + acc = (uint32_t) acc_l >> lShift | acc_h << uShift; + + /* Store the result from accumulator into the destination buffer. */ + *pOut++ = (q31_t) acc; + + /* Compute and store error */ + e = *pRef++ - (q31_t) acc; + + *pErr++ = (q31_t) e; + + /* Compute alpha i.e. intermediate constant for taps update */ + alpha = (q31_t) (((q63_t) e * mu) >> 31); + + /* Initialize state pointer */ + /* Advance state pointer by 1 for the next sample */ + px = pState++; + + /* Initialize coefficient pointer */ + pb = pCoeffs; + + /* Loop unrolling. Process 4 taps at a time. */ + tapCnt = numTaps >> 2; + + /* Update filter coefficients */ + while (tapCnt > 0U) + { + /* coef is in 2.30 format */ + coef = (q31_t) (((q63_t) alpha * (*px++)) >> (32)); + /* get coef in 1.31 format by left shifting */ + *pb = clip_q63_to_q31((q63_t) * pb + (coef << 1U)); + /* update coefficient buffer to next coefficient */ + pb++; + + coef = (q31_t) (((q63_t) alpha * (*px++)) >> (32)); + *pb = clip_q63_to_q31((q63_t) * pb + (coef << 1U)); + pb++; + + coef = (q31_t) (((q63_t) alpha * (*px++)) >> (32)); + *pb = clip_q63_to_q31((q63_t) * pb + (coef << 1U)); + pb++; + + coef = (q31_t) (((q63_t) alpha * (*px++)) >> (32)); + *pb = clip_q63_to_q31((q63_t) * pb + (coef << 1U)); + pb++; + + /* Decrement the loop counter */ + tapCnt--; + } + + /* If the filter length is not a multiple of 4, compute the remaining filter taps */ + tapCnt = numTaps % 0x4U; + + while (tapCnt > 0U) + { + /* Perform the multiply-accumulate */ + coef = (q31_t) (((q63_t) alpha * (*px++)) >> (32)); + *pb = clip_q63_to_q31((q63_t) * pb + (coef << 1U)); + pb++; + + /* Decrement the loop counter */ + tapCnt--; + } + + /* Decrement the loop counter */ + blkCnt--; + } + + /* Processing is complete. Now copy the last numTaps - 1 samples to the + satrt of the state buffer. This prepares the state buffer for the + next function call. */ + + /* Points to the start of the pState buffer */ + pStateCurnt = S->pState; + + /* Loop unrolling for (numTaps - 1U) samples copy */ + tapCnt = (numTaps - 1U) >> 2U; + + /* copy data */ + while (tapCnt > 0U) + { + *pStateCurnt++ = *pState++; + *pStateCurnt++ = *pState++; + *pStateCurnt++ = *pState++; + *pStateCurnt++ = *pState++; + + /* Decrement the loop counter */ + tapCnt--; + } + + /* Calculate remaining number of copies */ + tapCnt = (numTaps - 1U) % 0x4U; + + /* Copy the remaining q31_t data */ + while (tapCnt > 0U) + { + *pStateCurnt++ = *pState++; + + /* Decrement the loop counter */ + tapCnt--; + } + +#else + + /* Run the below code for Cortex-M0 */ + + while (blkCnt > 0U) + { + /* Copy the new input sample into the state buffer */ + *pStateCurnt++ = *pSrc++; + + /* Initialize pState pointer */ + px = pState; + + /* Initialize pCoeffs pointer */ + pb = pCoeffs; + + /* Set the accumulator to zero */ + acc = 0; + + /* Loop over numTaps number of values */ + tapCnt = numTaps; + + while (tapCnt > 0U) + { + /* Perform the multiply-accumulate */ + acc += ((q63_t) (*px++)) * (*pb++); + + /* Decrement the loop counter */ + tapCnt--; + } + + /* Converting the result to 1.31 format */ + /* Store the result from accumulator into the destination buffer. */ + /* Calc lower part of acc */ + acc_l = acc & 0xffffffff; + + /* Calc upper part of acc */ + acc_h = (acc >> 32) & 0xffffffff; + + acc = (uint32_t) acc_l >> lShift | acc_h << uShift; + + *pOut++ = (q31_t) acc; + + /* Compute and store error */ + e = *pRef++ - (q31_t) acc; + + *pErr++ = (q31_t) e; + + /* Weighting factor for the LMS version */ + alpha = (q31_t) (((q63_t) e * mu) >> 31); + + /* Initialize pState pointer */ + /* Advance state pointer by 1 for the next sample */ + px = pState++; + + /* Initialize pCoeffs pointer */ + pb = pCoeffs; + + /* Loop over numTaps number of values */ + tapCnt = numTaps; + + while (tapCnt > 0U) + { + /* Perform the multiply-accumulate */ + coef = (q31_t) (((q63_t) alpha * (*px++)) >> (32)); + *pb = clip_q63_to_q31((q63_t) * pb + (coef << 1U)); + pb++; + + /* Decrement the loop counter */ + tapCnt--; + } + + /* Decrement the loop counter */ + blkCnt--; + } + + /* Processing is complete. Now copy the last numTaps - 1 samples to the + start of the state buffer. This prepares the state buffer for the + next function call. */ + + /* Points to the start of the pState buffer */ + pStateCurnt = S->pState; + + /* Copy (numTaps - 1U) samples */ + tapCnt = (numTaps - 1U); + + /* Copy the data */ + while (tapCnt > 0U) + { + *pStateCurnt++ = *pState++; + + /* Decrement the loop counter */ + tapCnt--; + } + +#endif /* #if defined (ARM_MATH_DSP) */ + +} + +/** + * @} end of LMS group + */ diff --git a/fw/hid-dials/Drivers/CMSIS/DSP/Source/MatrixFunctions/arm_mat_add_f32.c b/fw/hid-dials/Drivers/CMSIS/DSP/Source/MatrixFunctions/arm_mat_add_f32.c new file mode 100644 index 0000000..9b609be --- /dev/null +++ b/fw/hid-dials/Drivers/CMSIS/DSP/Source/MatrixFunctions/arm_mat_add_f32.c @@ -0,0 +1,196 @@ +/* ---------------------------------------------------------------------- + * Project: CMSIS DSP Library + * Title: arm_mat_add_f32.c + * Description: Floating-point matrix addition + * + * $Date: 27. January 2017 + * $Revision: V.1.5.1 + * + * Target Processor: Cortex-M cores + * -------------------------------------------------------------------- */ +/* + * Copyright (C) 2010-2017 ARM Limited or its affiliates. All rights reserved. + * + * SPDX-License-Identifier: Apache-2.0 + * + * Licensed under the Apache License, Version 2.0 (the License); you may + * not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an AS IS BASIS, WITHOUT + * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ + +#include "arm_math.h" + +/** + * @ingroup groupMatrix + */ + +/** + * @defgroup MatrixAdd Matrix Addition + * + * Adds two matrices. + * \image html MatrixAddition.gif "Addition of two 3 x 3 matrices" + * + * The functions check to make sure that + * pSrcA, pSrcB, and pDst have the same + * number of rows and columns. + */ + +/** + * @addtogroup MatrixAdd + * @{ + */ + + +/** + * @brief Floating-point matrix addition. + * @param[in] *pSrcA points to the first input matrix structure + * @param[in] *pSrcB points to the second input matrix structure + * @param[out] *pDst points to output matrix structure + * @return The function returns either + * ARM_MATH_SIZE_MISMATCH or ARM_MATH_SUCCESS based on the outcome of size checking. + */ + +arm_status arm_mat_add_f32( + const arm_matrix_instance_f32 * pSrcA, + const arm_matrix_instance_f32 * pSrcB, + arm_matrix_instance_f32 * pDst) +{ + float32_t *pIn1 = pSrcA->pData; /* input data matrix pointer A */ + float32_t *pIn2 = pSrcB->pData; /* input data matrix pointer B */ + float32_t *pOut = pDst->pData; /* output data matrix pointer */ + +#if defined (ARM_MATH_DSP) + + float32_t inA1, inA2, inB1, inB2, out1, out2; /* temporary variables */ + +#endif // #if defined (ARM_MATH_DSP) + + uint32_t numSamples; /* total number of elements in the matrix */ + uint32_t blkCnt; /* loop counters */ + arm_status status; /* status of matrix addition */ + +#ifdef ARM_MATH_MATRIX_CHECK + /* Check for matrix mismatch condition */ + if ((pSrcA->numRows != pSrcB->numRows) || + (pSrcA->numCols != pSrcB->numCols) || + (pSrcA->numRows != pDst->numRows) || (pSrcA->numCols != pDst->numCols)) + { + /* Set status as ARM_MATH_SIZE_MISMATCH */ + status = ARM_MATH_SIZE_MISMATCH; + } + else +#endif + { + + /* Total number of samples in the input matrix */ + numSamples = (uint32_t) pSrcA->numRows * pSrcA->numCols; + +#if defined (ARM_MATH_DSP) + + /* Loop unrolling */ + blkCnt = numSamples >> 2U; + + /* First part of the processing with loop unrolling. Compute 4 outputs at a time. + ** a second loop below computes the remaining 1 to 3 samples. */ + while (blkCnt > 0U) + { + /* C(m,n) = A(m,n) + B(m,n) */ + /* Add and then store the results in the destination buffer. */ + /* Read values from source A */ + inA1 = pIn1[0]; + + /* Read values from source B */ + inB1 = pIn2[0]; + + /* Read values from source A */ + inA2 = pIn1[1]; + + /* out = sourceA + sourceB */ + out1 = inA1 + inB1; + + /* Read values from source B */ + inB2 = pIn2[1]; + + /* Read values from source A */ + inA1 = pIn1[2]; + + /* out = sourceA + sourceB */ + out2 = inA2 + inB2; + + /* Read values from source B */ + inB1 = pIn2[2]; + + /* Store result in destination */ + pOut[0] = out1; + pOut[1] = out2; + + /* Read values from source A */ + inA2 = pIn1[3]; + + /* Read values from source B */ + inB2 = pIn2[3]; + + /* out = sourceA + sourceB */ + out1 = inA1 + inB1; + + /* out = sourceA + sourceB */ + out2 = inA2 + inB2; + + /* Store result in destination */ + pOut[2] = out1; + + /* Store result in destination */ + pOut[3] = out2; + + + /* update pointers to process next sampels */ + pIn1 += 4U; + pIn2 += 4U; + pOut += 4U; + /* Decrement the loop counter */ + blkCnt--; + } + + /* If the numSamples is not a multiple of 4, compute any remaining output samples here. + ** No loop unrolling is used. */ + blkCnt = numSamples % 0x4U; + +#else + + /* Run the below code for Cortex-M0 */ + + /* Initialize blkCnt with number of samples */ + blkCnt = numSamples; + +#endif /* #if defined (ARM_MATH_DSP) */ + + while (blkCnt > 0U) + { + /* C(m,n) = A(m,n) + B(m,n) */ + /* Add and then store the results in the destination buffer. */ + *pOut++ = (*pIn1++) + (*pIn2++); + + /* Decrement the loop counter */ + blkCnt--; + } + + /* set status as ARM_MATH_SUCCESS */ + status = ARM_MATH_SUCCESS; + + } + + /* Return to application */ + return (status); +} + +/** + * @} end of MatrixAdd group + */ diff --git a/fw/hid-dials/Drivers/CMSIS/DSP/Source/MatrixFunctions/arm_mat_add_q15.c b/fw/hid-dials/Drivers/CMSIS/DSP/Source/MatrixFunctions/arm_mat_add_q15.c new file mode 100644 index 0000000..e6737fa --- /dev/null +++ b/fw/hid-dials/Drivers/CMSIS/DSP/Source/MatrixFunctions/arm_mat_add_q15.c @@ -0,0 +1,151 @@ +/* ---------------------------------------------------------------------- + * Project: CMSIS DSP Library + * Title: arm_mat_add_q15.c + * Description: Q15 matrix addition + * + * $Date: 27. January 2017 + * $Revision: V.1.5.1 + * + * Target Processor: Cortex-M cores + * -------------------------------------------------------------------- */ +/* + * Copyright (C) 2010-2017 ARM Limited or its affiliates. All rights reserved. + * + * SPDX-License-Identifier: Apache-2.0 + * + * Licensed under the Apache License, Version 2.0 (the License); you may + * not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an AS IS BASIS, WITHOUT + * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ + +#include "arm_math.h" + +/** + * @ingroup groupMatrix + */ + +/** + * @addtogroup MatrixAdd + * @{ + */ + +/** + * @brief Q15 matrix addition. + * @param[in] *pSrcA points to the first input matrix structure + * @param[in] *pSrcB points to the second input matrix structure + * @param[out] *pDst points to output matrix structure + * @return The function returns either + * ARM_MATH_SIZE_MISMATCH or ARM_MATH_SUCCESS based on the outcome of size checking. + * + * Scaling and Overflow Behavior: + * \par + * The function uses saturating arithmetic. + * Results outside of the allowable Q15 range [0x8000 0x7FFF] will be saturated. + */ + +arm_status arm_mat_add_q15( + const arm_matrix_instance_q15 * pSrcA, + const arm_matrix_instance_q15 * pSrcB, + arm_matrix_instance_q15 * pDst) +{ + q15_t *pInA = pSrcA->pData; /* input data matrix pointer A */ + q15_t *pInB = pSrcB->pData; /* input data matrix pointer B */ + q15_t *pOut = pDst->pData; /* output data matrix pointer */ + uint16_t numSamples; /* total number of elements in the matrix */ + uint32_t blkCnt; /* loop counters */ + arm_status status; /* status of matrix addition */ + +#ifdef ARM_MATH_MATRIX_CHECK + + + /* Check for matrix mismatch condition */ + if ((pSrcA->numRows != pSrcB->numRows) || + (pSrcA->numCols != pSrcB->numCols) || + (pSrcA->numRows != pDst->numRows) || (pSrcA->numCols != pDst->numCols)) + { + /* Set status as ARM_MATH_SIZE_MISMATCH */ + status = ARM_MATH_SIZE_MISMATCH; + } + else +#endif /* #ifdef ARM_MATH_MATRIX_CHECK */ + + { + /* Total number of samples in the input matrix */ + numSamples = (uint16_t) (pSrcA->numRows * pSrcA->numCols); + +#if defined (ARM_MATH_DSP) + + /* Run the below code for Cortex-M4 and Cortex-M3 */ + + /* Loop unrolling */ + blkCnt = (uint32_t) numSamples >> 2U; + + /* First part of the processing with loop unrolling. Compute 4 outputs at a time. + ** a second loop below computes the remaining 1 to 3 samples. */ + while (blkCnt > 0U) + { + /* C(m,n) = A(m,n) + B(m,n) */ + /* Add, Saturate and then store the results in the destination buffer. */ + *__SIMD32(pOut)++ = __QADD16(*__SIMD32(pInA)++, *__SIMD32(pInB)++); + *__SIMD32(pOut)++ = __QADD16(*__SIMD32(pInA)++, *__SIMD32(pInB)++); + + /* Decrement the loop counter */ + blkCnt--; + } + + /* If the blockSize is not a multiple of 4, compute any remaining output samples here. + ** No loop unrolling is used. */ + blkCnt = (uint32_t) numSamples % 0x4U; + + /* q15 pointers of input and output are initialized */ + + while (blkCnt > 0U) + { + /* C(m,n) = A(m,n) + B(m,n) */ + /* Add, Saturate and then store the results in the destination buffer. */ + *pOut++ = (q15_t) __QADD16(*pInA++, *pInB++); + + /* Decrement the loop counter */ + blkCnt--; + } + +#else + + /* Run the below code for Cortex-M0 */ + + /* Initialize blkCnt with number of samples */ + blkCnt = (uint32_t) numSamples; + + + /* q15 pointers of input and output are initialized */ + while (blkCnt > 0U) + { + /* C(m,n) = A(m,n) + B(m,n) */ + /* Add, Saturate and then store the results in the destination buffer. */ + *pOut++ = (q15_t) __SSAT(((q31_t) * pInA++ + *pInB++), 16); + + /* Decrement the loop counter */ + blkCnt--; + } + +#endif /* #if defined (ARM_MATH_DSP) */ + + /* set status as ARM_MATH_SUCCESS */ + status = ARM_MATH_SUCCESS; + } + + /* Return to application */ + return (status); +} + +/** + * @} end of MatrixAdd group + */ diff --git a/fw/hid-dials/Drivers/CMSIS/DSP/Source/MatrixFunctions/arm_mat_add_q31.c b/fw/hid-dials/Drivers/CMSIS/DSP/Source/MatrixFunctions/arm_mat_add_q31.c new file mode 100644 index 0000000..4119563 --- /dev/null +++ b/fw/hid-dials/Drivers/CMSIS/DSP/Source/MatrixFunctions/arm_mat_add_q31.c @@ -0,0 +1,195 @@ +/* ---------------------------------------------------------------------- + * Project: CMSIS DSP Library + * Title: arm_mat_add_q31.c + * Description: Q31 matrix addition + * + * $Date: 27. January 2017 + * $Revision: V.1.5.1 + * + * Target Processor: Cortex-M cores + * -------------------------------------------------------------------- */ +/* + * Copyright (C) 2010-2017 ARM Limited or its affiliates. All rights reserved. + * + * SPDX-License-Identifier: Apache-2.0 + * + * Licensed under the Apache License, Version 2.0 (the License); you may + * not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an AS IS BASIS, WITHOUT + * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ + +#include "arm_math.h" + +/** + * @ingroup groupMatrix + */ + +/** + * @addtogroup MatrixAdd + * @{ + */ + +/** + * @brief Q31 matrix addition. + * @param[in] *pSrcA points to the first input matrix structure + * @param[in] *pSrcB points to the second input matrix structure + * @param[out] *pDst points to output matrix structure + * @return The function returns either + * ARM_MATH_SIZE_MISMATCH or ARM_MATH_SUCCESS based on the outcome of size checking. + * + * Scaling and Overflow Behavior: + * \par + * The function uses saturating arithmetic. + * Results outside of the allowable Q31 range [0x80000000 0x7FFFFFFF] will be saturated. + */ + +arm_status arm_mat_add_q31( + const arm_matrix_instance_q31 * pSrcA, + const arm_matrix_instance_q31 * pSrcB, + arm_matrix_instance_q31 * pDst) +{ + q31_t *pIn1 = pSrcA->pData; /* input data matrix pointer A */ + q31_t *pIn2 = pSrcB->pData; /* input data matrix pointer B */ + q31_t *pOut = pDst->pData; /* output data matrix pointer */ + q31_t inA1, inB1; /* temporary variables */ + +#if defined (ARM_MATH_DSP) + + q31_t inA2, inB2; /* temporary variables */ + q31_t out1, out2; /* temporary variables */ + +#endif // #if defined (ARM_MATH_DSP) + + uint32_t numSamples; /* total number of elements in the matrix */ + uint32_t blkCnt; /* loop counters */ + arm_status status; /* status of matrix addition */ + +#ifdef ARM_MATH_MATRIX_CHECK + /* Check for matrix mismatch condition */ + if ((pSrcA->numRows != pSrcB->numRows) || + (pSrcA->numCols != pSrcB->numCols) || + (pSrcA->numRows != pDst->numRows) || (pSrcA->numCols != pDst->numCols)) + { + /* Set status as ARM_MATH_SIZE_MISMATCH */ + status = ARM_MATH_SIZE_MISMATCH; + } + else +#endif + { + /* Total number of samples in the input matrix */ + numSamples = (uint32_t) pSrcA->numRows * pSrcA->numCols; + +#if defined (ARM_MATH_DSP) + + /* Run the below code for Cortex-M4 and Cortex-M3 */ + + /* Loop Unrolling */ + blkCnt = numSamples >> 2U; + + + /* First part of the processing with loop unrolling. Compute 4 outputs at a time. + ** a second loop below computes the remaining 1 to 3 samples. */ + while (blkCnt > 0U) + { + /* C(m,n) = A(m,n) + B(m,n) */ + /* Add, saturate and then store the results in the destination buffer. */ + /* Read values from source A */ + inA1 = pIn1[0]; + + /* Read values from source B */ + inB1 = pIn2[0]; + + /* Read values from source A */ + inA2 = pIn1[1]; + + /* Add and saturate */ + out1 = __QADD(inA1, inB1); + + /* Read values from source B */ + inB2 = pIn2[1]; + + /* Read values from source A */ + inA1 = pIn1[2]; + + /* Add and saturate */ + out2 = __QADD(inA2, inB2); + + /* Read values from source B */ + inB1 = pIn2[2]; + + /* Store result in destination */ + pOut[0] = out1; + pOut[1] = out2; + + /* Read values from source A */ + inA2 = pIn1[3]; + + /* Read values from source B */ + inB2 = pIn2[3]; + + /* Add and saturate */ + out1 = __QADD(inA1, inB1); + out2 = __QADD(inA2, inB2); + + /* Store result in destination */ + pOut[2] = out1; + pOut[3] = out2; + + /* update pointers to process next sampels */ + pIn1 += 4U; + pIn2 += 4U; + pOut += 4U; + + /* Decrement the loop counter */ + blkCnt--; + } + + /* If the numSamples is not a multiple of 4, compute any remaining output samples here. + ** No loop unrolling is used. */ + blkCnt = numSamples % 0x4U; + +#else + + /* Run the below code for Cortex-M0 */ + + /* Initialize blkCnt with number of samples */ + blkCnt = numSamples; + + +#endif /* #if defined (ARM_MATH_DSP) */ + + while (blkCnt > 0U) + { + /* C(m,n) = A(m,n) + B(m,n) */ + /* Add, saturate and then store the results in the destination buffer. */ + inA1 = *pIn1++; + inB1 = *pIn2++; + + inA1 = __QADD(inA1, inB1); + + /* Decrement the loop counter */ + blkCnt--; + + *pOut++ = inA1; + + } + + /* set status as ARM_MATH_SUCCESS */ + status = ARM_MATH_SUCCESS; + } + + /* Return to application */ + return (status); +} + +/** + * @} end of MatrixAdd group + */ diff --git a/fw/hid-dials/Drivers/CMSIS/DSP/Source/MatrixFunctions/arm_mat_cmplx_mult_f32.c b/fw/hid-dials/Drivers/CMSIS/DSP/Source/MatrixFunctions/arm_mat_cmplx_mult_f32.c new file mode 100644 index 0000000..9b2f532 --- /dev/null +++ b/fw/hid-dials/Drivers/CMSIS/DSP/Source/MatrixFunctions/arm_mat_cmplx_mult_f32.c @@ -0,0 +1,272 @@ +/* ---------------------------------------------------------------------- + * Project: CMSIS DSP Library + * Title: arm_mat_cmplx_mult_f32.c + * Description: Floating-point matrix multiplication + * + * $Date: 27. January 2017 + * $Revision: V.1.5.1 + * + * Target Processor: Cortex-M cores + * -------------------------------------------------------------------- */ +/* + * Copyright (C) 2010-2017 ARM Limited or its affiliates. All rights reserved. + * + * SPDX-License-Identifier: Apache-2.0 + * + * Licensed under the Apache License, Version 2.0 (the License); you may + * not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an AS IS BASIS, WITHOUT + * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ + +#include "arm_math.h" + +/** + * @ingroup groupMatrix + */ + +/** + * @defgroup CmplxMatrixMult Complex Matrix Multiplication + * + * Complex Matrix multiplication is only defined if the number of columns of the + * first matrix equals the number of rows of the second matrix. + * Multiplying an M x N matrix with an N x P matrix results + * in an M x P matrix. + * When matrix size checking is enabled, the functions check: (1) that the inner dimensions of + * pSrcA and pSrcB are equal; and (2) that the size of the output + * matrix equals the outer dimensions of pSrcA and pSrcB. + */ + + +/** + * @addtogroup CmplxMatrixMult + * @{ + */ + +/** + * @brief Floating-point Complex matrix multiplication. + * @param[in] *pSrcA points to the first input complex matrix structure + * @param[in] *pSrcB points to the second input complex matrix structure + * @param[out] *pDst points to output complex matrix structure + * @return The function returns either + * ARM_MATH_SIZE_MISMATCH or ARM_MATH_SUCCESS based on the outcome of size checking. + */ + +arm_status arm_mat_cmplx_mult_f32( + const arm_matrix_instance_f32 * pSrcA, + const arm_matrix_instance_f32 * pSrcB, + arm_matrix_instance_f32 * pDst) +{ + float32_t *pIn1 = pSrcA->pData; /* input data matrix pointer A */ + float32_t *pIn2 = pSrcB->pData; /* input data matrix pointer B */ + float32_t *pInA = pSrcA->pData; /* input data matrix pointer A */ + float32_t *pOut = pDst->pData; /* output data matrix pointer */ + float32_t *px; /* Temporary output data matrix pointer */ + uint16_t numRowsA = pSrcA->numRows; /* number of rows of input matrix A */ + uint16_t numColsB = pSrcB->numCols; /* number of columns of input matrix B */ + uint16_t numColsA = pSrcA->numCols; /* number of columns of input matrix A */ + float32_t sumReal1, sumImag1; /* accumulator */ + float32_t a0, b0, c0, d0; + float32_t a1, b1, c1, d1; + float32_t sumReal2, sumImag2; /* accumulator */ + + + /* Run the below code for Cortex-M4 and Cortex-M3 */ + + uint16_t col, i = 0U, j, row = numRowsA, colCnt; /* loop counters */ + arm_status status; /* status of matrix multiplication */ + +#ifdef ARM_MATH_MATRIX_CHECK + + + /* Check for matrix mismatch condition */ + if ((pSrcA->numCols != pSrcB->numRows) || + (pSrcA->numRows != pDst->numRows) || (pSrcB->numCols != pDst->numCols)) + { + + /* Set status as ARM_MATH_SIZE_MISMATCH */ + status = ARM_MATH_SIZE_MISMATCH; + } + else +#endif /* #ifdef ARM_MATH_MATRIX_CHECK */ + + { + /* The following loop performs the dot-product of each row in pSrcA with each column in pSrcB */ + /* row loop */ + do + { + /* Output pointer is set to starting address of the row being processed */ + px = pOut + 2 * i; + + /* For every row wise process, the column loop counter is to be initiated */ + col = numColsB; + + /* For every row wise process, the pIn2 pointer is set + ** to the starting address of the pSrcB data */ + pIn2 = pSrcB->pData; + + j = 0U; + + /* column loop */ + do + { + /* Set the variable sum, that acts as accumulator, to zero */ + sumReal1 = 0.0f; + sumImag1 = 0.0f; + + sumReal2 = 0.0f; + sumImag2 = 0.0f; + + /* Initiate the pointer pIn1 to point to the starting address of the column being processed */ + pIn1 = pInA; + + /* Apply loop unrolling and compute 4 MACs simultaneously. */ + colCnt = numColsA >> 2; + + /* matrix multiplication */ + while (colCnt > 0U) + { + + /* Reading real part of complex matrix A */ + a0 = *pIn1; + + /* Reading real part of complex matrix B */ + c0 = *pIn2; + + /* Reading imaginary part of complex matrix A */ + b0 = *(pIn1 + 1U); + + /* Reading imaginary part of complex matrix B */ + d0 = *(pIn2 + 1U); + + sumReal1 += a0 * c0; + sumImag1 += b0 * c0; + + pIn1 += 2U; + pIn2 += 2 * numColsB; + + sumReal2 -= b0 * d0; + sumImag2 += a0 * d0; + + /* c(m,n) = a(1,1)*b(1,1) + a(1,2) * b(2,1) + .... + a(m,p)*b(p,n) */ + + a1 = *pIn1; + c1 = *pIn2; + + b1 = *(pIn1 + 1U); + d1 = *(pIn2 + 1U); + + sumReal1 += a1 * c1; + sumImag1 += b1 * c1; + + pIn1 += 2U; + pIn2 += 2 * numColsB; + + sumReal2 -= b1 * d1; + sumImag2 += a1 * d1; + + a0 = *pIn1; + c0 = *pIn2; + + b0 = *(pIn1 + 1U); + d0 = *(pIn2 + 1U); + + sumReal1 += a0 * c0; + sumImag1 += b0 * c0; + + pIn1 += 2U; + pIn2 += 2 * numColsB; + + sumReal2 -= b0 * d0; + sumImag2 += a0 * d0; + + /* c(m,n) = a(1,1)*b(1,1) + a(1,2) * b(2,1) + .... + a(m,p)*b(p,n) */ + + a1 = *pIn1; + c1 = *pIn2; + + b1 = *(pIn1 + 1U); + d1 = *(pIn2 + 1U); + + sumReal1 += a1 * c1; + sumImag1 += b1 * c1; + + pIn1 += 2U; + pIn2 += 2 * numColsB; + + sumReal2 -= b1 * d1; + sumImag2 += a1 * d1; + + /* Decrement the loop count */ + colCnt--; + } + + /* If the columns of pSrcA is not a multiple of 4, compute any remaining MACs here. + ** No loop unrolling is used. */ + colCnt = numColsA % 0x4U; + + while (colCnt > 0U) + { + /* c(m,n) = a(1,1)*b(1,1) + a(1,2) * b(2,1) + .... + a(m,p)*b(p,n) */ + a1 = *pIn1; + c1 = *pIn2; + + b1 = *(pIn1 + 1U); + d1 = *(pIn2 + 1U); + + sumReal1 += a1 * c1; + sumImag1 += b1 * c1; + + pIn1 += 2U; + pIn2 += 2 * numColsB; + + sumReal2 -= b1 * d1; + sumImag2 += a1 * d1; + + /* Decrement the loop counter */ + colCnt--; + } + + sumReal1 += sumReal2; + sumImag1 += sumImag2; + + /* Store the result in the destination buffer */ + *px++ = sumReal1; + *px++ = sumImag1; + + /* Update the pointer pIn2 to point to the starting address of the next column */ + j++; + pIn2 = pSrcB->pData + 2U * j; + + /* Decrement the column loop counter */ + col--; + + } while (col > 0U); + + /* Update the pointer pInA to point to the starting address of the next row */ + i = i + numColsB; + pInA = pInA + 2 * numColsA; + + /* Decrement the row loop counter */ + row--; + + } while (row > 0U); + + /* Set status as ARM_MATH_SUCCESS */ + status = ARM_MATH_SUCCESS; + } + + /* Return to application */ + return (status); +} + +/** + * @} end of MatrixMult group + */ diff --git a/fw/hid-dials/Drivers/CMSIS/DSP/Source/MatrixFunctions/arm_mat_cmplx_mult_q15.c b/fw/hid-dials/Drivers/CMSIS/DSP/Source/MatrixFunctions/arm_mat_cmplx_mult_q15.c new file mode 100644 index 0000000..b1578a5 --- /dev/null +++ b/fw/hid-dials/Drivers/CMSIS/DSP/Source/MatrixFunctions/arm_mat_cmplx_mult_q15.c @@ -0,0 +1,413 @@ +/* ---------------------------------------------------------------------- + * Project: CMSIS DSP Library + * Title: arm_cmplx_mat_mult_q15.c + * Description: Q15 complex matrix multiplication + * + * $Date: 27. January 2017 + * $Revision: V.1.5.1 + * + * Target Processor: Cortex-M cores + * -------------------------------------------------------------------- */ +/* + * Copyright (C) 2010-2017 ARM Limited or its affiliates. All rights reserved. + * + * SPDX-License-Identifier: Apache-2.0 + * + * Licensed under the Apache License, Version 2.0 (the License); you may + * not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an AS IS BASIS, WITHOUT + * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ + +#include "arm_math.h" + +/** + * @ingroup groupMatrix + */ + +/** + * @addtogroup CmplxMatrixMult + * @{ + */ + + +/** + * @brief Q15 Complex matrix multiplication + * @param[in] *pSrcA points to the first input complex matrix structure + * @param[in] *pSrcB points to the second input complex matrix structure + * @param[out] *pDst points to output complex matrix structure + * @param[in] *pScratch points to the array for storing intermediate results + * @return The function returns either + * ARM_MATH_SIZE_MISMATCH or ARM_MATH_SUCCESS based on the outcome of size checking. + * + * \par Conditions for optimum performance + * Input, output and state buffers should be aligned by 32-bit + * + * \par Restrictions + * If the silicon does not support unaligned memory access enable the macro UNALIGNED_SUPPORT_DISABLE + * In this case input, output, scratch buffers should be aligned by 32-bit + * + * @details + * Scaling and Overflow Behavior: + * + * \par + * The function is implemented using a 64-bit internal accumulator. The inputs to the + * multiplications are in 1.15 format and multiplications yield a 2.30 result. + * The 2.30 intermediate + * results are accumulated in a 64-bit accumulator in 34.30 format. This approach + * provides 33 guard bits and there is no risk of overflow. The 34.30 result is then + * truncated to 34.15 format by discarding the low 15 bits and then saturated to + * 1.15 format. + * + * \par + * Refer to arm_mat_mult_fast_q15() for a faster but less precise version of this function. + * + */ + + + + +arm_status arm_mat_cmplx_mult_q15( + const arm_matrix_instance_q15 * pSrcA, + const arm_matrix_instance_q15 * pSrcB, + arm_matrix_instance_q15 * pDst, + q15_t * pScratch) +{ + /* accumulator */ + q15_t *pSrcBT = pScratch; /* input data matrix pointer for transpose */ + q15_t *pInA = pSrcA->pData; /* input data matrix pointer A of Q15 type */ + q15_t *pInB = pSrcB->pData; /* input data matrix pointer B of Q15 type */ + q15_t *px; /* Temporary output data matrix pointer */ + uint16_t numRowsA = pSrcA->numRows; /* number of rows of input matrix A */ + uint16_t numColsB = pSrcB->numCols; /* number of columns of input matrix B */ + uint16_t numColsA = pSrcA->numCols; /* number of columns of input matrix A */ + uint16_t numRowsB = pSrcB->numRows; /* number of rows of input matrix A */ + uint16_t col, i = 0U, row = numRowsB, colCnt; /* loop counters */ + arm_status status; /* status of matrix multiplication */ + q63_t sumReal, sumImag; + +#ifdef UNALIGNED_SUPPORT_DISABLE + q15_t in; /* Temporary variable to hold the input value */ + q15_t a, b, c, d; +#else + q31_t in; /* Temporary variable to hold the input value */ + q31_t prod1, prod2; + q31_t pSourceA, pSourceB; +#endif + +#ifdef ARM_MATH_MATRIX_CHECK + /* Check for matrix mismatch condition */ + if ((pSrcA->numCols != pSrcB->numRows) || + (pSrcA->numRows != pDst->numRows) || (pSrcB->numCols != pDst->numCols)) + { + /* Set status as ARM_MATH_SIZE_MISMATCH */ + status = ARM_MATH_SIZE_MISMATCH; + } + else +#endif + { + /* Matrix transpose */ + do + { + /* Apply loop unrolling and exchange the columns with row elements */ + col = numColsB >> 2; + + /* The pointer px is set to starting address of the column being processed */ + px = pSrcBT + i; + + /* First part of the processing with loop unrolling. Compute 4 outputs at a time. + ** a second loop below computes the remaining 1 to 3 samples. */ + while (col > 0U) + { +#ifdef UNALIGNED_SUPPORT_DISABLE + /* Read two elements from the row */ + in = *pInB++; + *px = in; + in = *pInB++; + px[1] = in; + + /* Update the pointer px to point to the next row of the transposed matrix */ + px += numRowsB * 2; + + /* Read two elements from the row */ + in = *pInB++; + *px = in; + in = *pInB++; + px[1] = in; + + /* Update the pointer px to point to the next row of the transposed matrix */ + px += numRowsB * 2; + + /* Read two elements from the row */ + in = *pInB++; + *px = in; + in = *pInB++; + px[1] = in; + + /* Update the pointer px to point to the next row of the transposed matrix */ + px += numRowsB * 2; + + /* Read two elements from the row */ + in = *pInB++; + *px = in; + in = *pInB++; + px[1] = in; + + /* Update the pointer px to point to the next row of the transposed matrix */ + px += numRowsB * 2; + + /* Decrement the column loop counter */ + col--; + } + + /* If the columns of pSrcB is not a multiple of 4, compute any remaining output samples here. + ** No loop unrolling is used. */ + col = numColsB % 0x4U; + + while (col > 0U) + { + /* Read two elements from the row */ + in = *pInB++; + *px = in; + in = *pInB++; + px[1] = in; +#else + + /* Read two elements from the row */ + in = *__SIMD32(pInB)++; + + *__SIMD32(px) = in; + + /* Update the pointer px to point to the next row of the transposed matrix */ + px += numRowsB * 2; + + + /* Read two elements from the row */ + in = *__SIMD32(pInB)++; + + *__SIMD32(px) = in; + + /* Update the pointer px to point to the next row of the transposed matrix */ + px += numRowsB * 2; + + /* Read two elements from the row */ + in = *__SIMD32(pInB)++; + + *__SIMD32(px) = in; + + /* Update the pointer px to point to the next row of the transposed matrix */ + px += numRowsB * 2; + + /* Read two elements from the row */ + in = *__SIMD32(pInB)++; + + *__SIMD32(px) = in; + + /* Update the pointer px to point to the next row of the transposed matrix */ + px += numRowsB * 2; + + /* Decrement the column loop counter */ + col--; + } + + /* If the columns of pSrcB is not a multiple of 4, compute any remaining output samples here. + ** No loop unrolling is used. */ + col = numColsB % 0x4U; + + while (col > 0U) + { + /* Read two elements from the row */ + in = *__SIMD32(pInB)++; + + *__SIMD32(px) = in; +#endif + + /* Update the pointer px to point to the next row of the transposed matrix */ + px += numRowsB * 2; + + /* Decrement the column loop counter */ + col--; + } + + i = i + 2U; + + /* Decrement the row loop counter */ + row--; + + } while (row > 0U); + + /* Reset the variables for the usage in the following multiplication process */ + row = numRowsA; + i = 0U; + px = pDst->pData; + + /* The following loop performs the dot-product of each row in pSrcA with each column in pSrcB */ + /* row loop */ + do + { + /* For every row wise process, the column loop counter is to be initiated */ + col = numColsB; + + /* For every row wise process, the pIn2 pointer is set + ** to the starting address of the transposed pSrcB data */ + pInB = pSrcBT; + + /* column loop */ + do + { + /* Set the variable sum, that acts as accumulator, to zero */ + sumReal = 0; + sumImag = 0; + + /* Apply loop unrolling and compute 2 MACs simultaneously. */ + colCnt = numColsA >> 1; + + /* Initiate the pointer pIn1 to point to the starting address of the column being processed */ + pInA = pSrcA->pData + i * 2; + + + /* matrix multiplication */ + while (colCnt > 0U) + { + /* c(m,n) = a(1,1)*b(1,1) + a(1,2) * b(2,1) + .... + a(m,p)*b(p,n) */ + +#ifdef UNALIGNED_SUPPORT_DISABLE + + /* read real and imag values from pSrcA buffer */ + a = *pInA; + b = *(pInA + 1U); + /* read real and imag values from pSrcB buffer */ + c = *pInB; + d = *(pInB + 1U); + + /* Multiply and Accumlates */ + sumReal += (q31_t) a *c; + sumImag += (q31_t) a *d; + sumReal -= (q31_t) b *d; + sumImag += (q31_t) b *c; + + /* read next real and imag values from pSrcA buffer */ + a = *(pInA + 2U); + b = *(pInA + 3U); + /* read next real and imag values from pSrcB buffer */ + c = *(pInB + 2U); + d = *(pInB + 3U); + + /* update pointer */ + pInA += 4U; + + /* Multiply and Accumlates */ + sumReal += (q31_t) a *c; + sumImag += (q31_t) a *d; + sumReal -= (q31_t) b *d; + sumImag += (q31_t) b *c; + /* update pointer */ + pInB += 4U; +#else + /* read real and imag values from pSrcA and pSrcB buffer */ + pSourceA = *__SIMD32(pInA)++; + pSourceB = *__SIMD32(pInB)++; + + /* Multiply and Accumlates */ +#ifdef ARM_MATH_BIG_ENDIAN + prod1 = -__SMUSD(pSourceA, pSourceB); +#else + prod1 = __SMUSD(pSourceA, pSourceB); +#endif + prod2 = __SMUADX(pSourceA, pSourceB); + sumReal += (q63_t) prod1; + sumImag += (q63_t) prod2; + + /* read real and imag values from pSrcA and pSrcB buffer */ + pSourceA = *__SIMD32(pInA)++; + pSourceB = *__SIMD32(pInB)++; + + /* Multiply and Accumlates */ +#ifdef ARM_MATH_BIG_ENDIAN + prod1 = -__SMUSD(pSourceA, pSourceB); +#else + prod1 = __SMUSD(pSourceA, pSourceB); +#endif + prod2 = __SMUADX(pSourceA, pSourceB); + sumReal += (q63_t) prod1; + sumImag += (q63_t) prod2; + +#endif /* #ifdef UNALIGNED_SUPPORT_DISABLE */ + + /* Decrement the loop counter */ + colCnt--; + } + + /* process odd column samples */ + if ((numColsA & 0x1U) > 0U) + { + /* c(m,n) = a(1,1)*b(1,1) + a(1,2) * b(2,1) + .... + a(m,p)*b(p,n) */ + +#ifdef UNALIGNED_SUPPORT_DISABLE + + /* read real and imag values from pSrcA and pSrcB buffer */ + a = *pInA++; + b = *pInA++; + c = *pInB++; + d = *pInB++; + + /* Multiply and Accumlates */ + sumReal += (q31_t) a *c; + sumImag += (q31_t) a *d; + sumReal -= (q31_t) b *d; + sumImag += (q31_t) b *c; + +#else + /* read real and imag values from pSrcA and pSrcB buffer */ + pSourceA = *__SIMD32(pInA)++; + pSourceB = *__SIMD32(pInB)++; + + /* Multiply and Accumlates */ +#ifdef ARM_MATH_BIG_ENDIAN + prod1 = -__SMUSD(pSourceA, pSourceB); +#else + prod1 = __SMUSD(pSourceA, pSourceB); +#endif + prod2 = __SMUADX(pSourceA, pSourceB); + sumReal += (q63_t) prod1; + sumImag += (q63_t) prod2; + +#endif /* #ifdef UNALIGNED_SUPPORT_DISABLE */ + + } + + /* Saturate and store the result in the destination buffer */ + + *px++ = (q15_t) (__SSAT(sumReal >> 15, 16)); + *px++ = (q15_t) (__SSAT(sumImag >> 15, 16)); + + /* Decrement the column loop counter */ + col--; + + } while (col > 0U); + + i = i + numColsA; + + /* Decrement the row loop counter */ + row--; + + } while (row > 0U); + + /* set status as ARM_MATH_SUCCESS */ + status = ARM_MATH_SUCCESS; + } + + /* Return to application */ + return (status); +} + +/** + * @} end of MatrixMult group + */ diff --git a/fw/hid-dials/Drivers/CMSIS/DSP/Source/MatrixFunctions/arm_mat_cmplx_mult_q31.c b/fw/hid-dials/Drivers/CMSIS/DSP/Source/MatrixFunctions/arm_mat_cmplx_mult_q31.c new file mode 100644 index 0000000..a05440e --- /dev/null +++ b/fw/hid-dials/Drivers/CMSIS/DSP/Source/MatrixFunctions/arm_mat_cmplx_mult_q31.c @@ -0,0 +1,282 @@ +/* ---------------------------------------------------------------------- + * Project: CMSIS DSP Library + * Title: arm_mat_cmplx_mult_q31.c + * Description: Floating-point matrix multiplication + * + * $Date: 27. January 2017 + * $Revision: V.1.5.1 + * + * Target Processor: Cortex-M cores + * -------------------------------------------------------------------- */ +/* + * Copyright (C) 2010-2017 ARM Limited or its affiliates. All rights reserved. + * + * SPDX-License-Identifier: Apache-2.0 + * + * Licensed under the Apache License, Version 2.0 (the License); you may + * not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an AS IS BASIS, WITHOUT + * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ + +#include "arm_math.h" + +/** + * @ingroup groupMatrix + */ + +/** + * @addtogroup CmplxMatrixMult + * @{ + */ + +/** + * @brief Q31 Complex matrix multiplication + * @param[in] *pSrcA points to the first input complex matrix structure + * @param[in] *pSrcB points to the second input complex matrix structure + * @param[out] *pDst points to output complex matrix structure + * @return The function returns either + * ARM_MATH_SIZE_MISMATCH or ARM_MATH_SUCCESS based on the outcome of size checking. + * + * @details + * Scaling and Overflow Behavior: + * + * \par + * The function is implemented using an internal 64-bit accumulator. + * The accumulator has a 2.62 format and maintains full precision of the intermediate + * multiplication results but provides only a single guard bit. There is no saturation + * on intermediate additions. Thus, if the accumulator overflows it wraps around and + * distorts the result. The input signals should be scaled down to avoid intermediate + * overflows. The input is thus scaled down by log2(numColsA) bits + * to avoid overflows, as a total of numColsA additions are performed internally. + * The 2.62 accumulator is right shifted by 31 bits and saturated to 1.31 format to yield the final result. + * + * + */ + +arm_status arm_mat_cmplx_mult_q31( + const arm_matrix_instance_q31 * pSrcA, + const arm_matrix_instance_q31 * pSrcB, + arm_matrix_instance_q31 * pDst) +{ + q31_t *pIn1 = pSrcA->pData; /* input data matrix pointer A */ + q31_t *pIn2 = pSrcB->pData; /* input data matrix pointer B */ + q31_t *pInA = pSrcA->pData; /* input data matrix pointer A */ + q31_t *pOut = pDst->pData; /* output data matrix pointer */ + q31_t *px; /* Temporary output data matrix pointer */ + uint16_t numRowsA = pSrcA->numRows; /* number of rows of input matrix A */ + uint16_t numColsB = pSrcB->numCols; /* number of columns of input matrix B */ + uint16_t numColsA = pSrcA->numCols; /* number of columns of input matrix A */ + q63_t sumReal1, sumImag1; /* accumulator */ + q31_t a0, b0, c0, d0; + q31_t a1, b1, c1, d1; + + + /* Run the below code for Cortex-M4 and Cortex-M3 */ + + uint16_t col, i = 0U, j, row = numRowsA, colCnt; /* loop counters */ + arm_status status; /* status of matrix multiplication */ + +#ifdef ARM_MATH_MATRIX_CHECK + + + /* Check for matrix mismatch condition */ + if ((pSrcA->numCols != pSrcB->numRows) || + (pSrcA->numRows != pDst->numRows) || (pSrcB->numCols != pDst->numCols)) + { + + /* Set status as ARM_MATH_SIZE_MISMATCH */ + status = ARM_MATH_SIZE_MISMATCH; + } + else +#endif /* #ifdef ARM_MATH_MATRIX_CHECK */ + + { + /* The following loop performs the dot-product of each row in pSrcA with each column in pSrcB */ + /* row loop */ + do + { + /* Output pointer is set to starting address of the row being processed */ + px = pOut + 2 * i; + + /* For every row wise process, the column loop counter is to be initiated */ + col = numColsB; + + /* For every row wise process, the pIn2 pointer is set + ** to the starting address of the pSrcB data */ + pIn2 = pSrcB->pData; + + j = 0U; + + /* column loop */ + do + { + /* Set the variable sum, that acts as accumulator, to zero */ + sumReal1 = 0.0; + sumImag1 = 0.0; + + /* Initiate the pointer pIn1 to point to the starting address of the column being processed */ + pIn1 = pInA; + + /* Apply loop unrolling and compute 4 MACs simultaneously. */ + colCnt = numColsA >> 2; + + /* matrix multiplication */ + while (colCnt > 0U) + { + + /* Reading real part of complex matrix A */ + a0 = *pIn1; + + /* Reading real part of complex matrix B */ + c0 = *pIn2; + + /* Reading imaginary part of complex matrix A */ + b0 = *(pIn1 + 1U); + + /* Reading imaginary part of complex matrix B */ + d0 = *(pIn2 + 1U); + + /* Multiply and Accumlates */ + sumReal1 += (q63_t) a0 *c0; + sumImag1 += (q63_t) b0 *c0; + + /* update pointers */ + pIn1 += 2U; + pIn2 += 2 * numColsB; + + /* Multiply and Accumlates */ + sumReal1 -= (q63_t) b0 *d0; + sumImag1 += (q63_t) a0 *d0; + + /* c(m,n) = a(1,1)*b(1,1) + a(1,2) * b(2,1) + .... + a(m,p)*b(p,n) */ + + /* read real and imag values from pSrcA and pSrcB buffer */ + a1 = *pIn1; + c1 = *pIn2; + b1 = *(pIn1 + 1U); + d1 = *(pIn2 + 1U); + + /* Multiply and Accumlates */ + sumReal1 += (q63_t) a1 *c1; + sumImag1 += (q63_t) b1 *c1; + + /* update pointers */ + pIn1 += 2U; + pIn2 += 2 * numColsB; + + /* Multiply and Accumlates */ + sumReal1 -= (q63_t) b1 *d1; + sumImag1 += (q63_t) a1 *d1; + + a0 = *pIn1; + c0 = *pIn2; + + b0 = *(pIn1 + 1U); + d0 = *(pIn2 + 1U); + + /* Multiply and Accumlates */ + sumReal1 += (q63_t) a0 *c0; + sumImag1 += (q63_t) b0 *c0; + + /* update pointers */ + pIn1 += 2U; + pIn2 += 2 * numColsB; + + /* Multiply and Accumlates */ + sumReal1 -= (q63_t) b0 *d0; + sumImag1 += (q63_t) a0 *d0; + + /* c(m,n) = a(1,1)*b(1,1) + a(1,2) * b(2,1) + .... + a(m,p)*b(p,n) */ + + a1 = *pIn1; + c1 = *pIn2; + + b1 = *(pIn1 + 1U); + d1 = *(pIn2 + 1U); + + /* Multiply and Accumlates */ + sumReal1 += (q63_t) a1 *c1; + sumImag1 += (q63_t) b1 *c1; + + /* update pointers */ + pIn1 += 2U; + pIn2 += 2 * numColsB; + + /* Multiply and Accumlates */ + sumReal1 -= (q63_t) b1 *d1; + sumImag1 += (q63_t) a1 *d1; + + /* Decrement the loop count */ + colCnt--; + } + + /* If the columns of pSrcA is not a multiple of 4, compute any remaining MACs here. + ** No loop unrolling is used. */ + colCnt = numColsA % 0x4U; + + while (colCnt > 0U) + { + /* c(m,n) = a(1,1)*b(1,1) + a(1,2) * b(2,1) + .... + a(m,p)*b(p,n) */ + a1 = *pIn1; + c1 = *pIn2; + + b1 = *(pIn1 + 1U); + d1 = *(pIn2 + 1U); + + /* Multiply and Accumlates */ + sumReal1 += (q63_t) a1 *c1; + sumImag1 += (q63_t) b1 *c1; + + /* update pointers */ + pIn1 += 2U; + pIn2 += 2 * numColsB; + + /* Multiply and Accumlates */ + sumReal1 -= (q63_t) b1 *d1; + sumImag1 += (q63_t) a1 *d1; + + /* Decrement the loop counter */ + colCnt--; + } + + /* Store the result in the destination buffer */ + *px++ = (q31_t) clip_q63_to_q31(sumReal1 >> 31); + *px++ = (q31_t) clip_q63_to_q31(sumImag1 >> 31); + + /* Update the pointer pIn2 to point to the starting address of the next column */ + j++; + pIn2 = pSrcB->pData + 2U * j; + + /* Decrement the column loop counter */ + col--; + + } while (col > 0U); + + /* Update the pointer pInA to point to the starting address of the next row */ + i = i + numColsB; + pInA = pInA + 2 * numColsA; + + /* Decrement the row loop counter */ + row--; + + } while (row > 0U); + + /* Set status as ARM_MATH_SUCCESS */ + status = ARM_MATH_SUCCESS; + } + + /* Return to application */ + return (status); +} + +/** + * @} end of MatrixMult group + */ diff --git a/fw/hid-dials/Drivers/CMSIS/DSP/Source/MatrixFunctions/arm_mat_init_f32.c b/fw/hid-dials/Drivers/CMSIS/DSP/Source/MatrixFunctions/arm_mat_init_f32.c new file mode 100644 index 0000000..34399c7 --- /dev/null +++ b/fw/hid-dials/Drivers/CMSIS/DSP/Source/MatrixFunctions/arm_mat_init_f32.c @@ -0,0 +1,76 @@ +/* ---------------------------------------------------------------------- + * Project: CMSIS DSP Library + * Title: arm_mat_init_f32.c + * Description: Floating-point matrix initialization + * + * $Date: 27. January 2017 + * $Revision: V.1.5.1 + * + * Target Processor: Cortex-M cores + * -------------------------------------------------------------------- */ +/* + * Copyright (C) 2010-2017 ARM Limited or its affiliates. All rights reserved. + * + * SPDX-License-Identifier: Apache-2.0 + * + * Licensed under the Apache License, Version 2.0 (the License); you may + * not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an AS IS BASIS, WITHOUT + * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ + +#include "arm_math.h" + +/** + * @ingroup groupMatrix + */ + +/** + * @defgroup MatrixInit Matrix Initialization + * + * Initializes the underlying matrix data structure. + * The functions set the numRows, + * numCols, and pData fields + * of the matrix data structure. + */ + +/** + * @addtogroup MatrixInit + * @{ + */ + +/** + * @brief Floating-point matrix initialization. + * @param[in,out] *S points to an instance of the floating-point matrix structure. + * @param[in] nRows number of rows in the matrix. + * @param[in] nColumns number of columns in the matrix. + * @param[in] *pData points to the matrix data array. + * @return none + */ + +void arm_mat_init_f32( + arm_matrix_instance_f32 * S, + uint16_t nRows, + uint16_t nColumns, + float32_t * pData) +{ + /* Assign Number of Rows */ + S->numRows = nRows; + + /* Assign Number of Columns */ + S->numCols = nColumns; + + /* Assign Data pointer */ + S->pData = pData; +} + +/** + * @} end of MatrixInit group + */ diff --git a/fw/hid-dials/Drivers/CMSIS/DSP/Source/MatrixFunctions/arm_mat_init_q15.c b/fw/hid-dials/Drivers/CMSIS/DSP/Source/MatrixFunctions/arm_mat_init_q15.c new file mode 100644 index 0000000..6be7387 --- /dev/null +++ b/fw/hid-dials/Drivers/CMSIS/DSP/Source/MatrixFunctions/arm_mat_init_q15.c @@ -0,0 +1,67 @@ +/* ---------------------------------------------------------------------- + * Project: CMSIS DSP Library + * Title: arm_mat_init_q15.c + * Description: Q15 matrix initialization + * + * $Date: 27. January 2017 + * $Revision: V.1.5.1 + * + * Target Processor: Cortex-M cores + * -------------------------------------------------------------------- */ +/* + * Copyright (C) 2010-2017 ARM Limited or its affiliates. All rights reserved. + * + * SPDX-License-Identifier: Apache-2.0 + * + * Licensed under the Apache License, Version 2.0 (the License); you may + * not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an AS IS BASIS, WITHOUT + * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ + +#include "arm_math.h" + +/** + * @ingroup groupMatrix + */ + +/** + * @addtogroup MatrixInit + * @{ + */ + + /** + * @brief Q15 matrix initialization. + * @param[in,out] *S points to an instance of the floating-point matrix structure. + * @param[in] nRows number of rows in the matrix. + * @param[in] nColumns number of columns in the matrix. + * @param[in] *pData points to the matrix data array. + * @return none + */ + +void arm_mat_init_q15( + arm_matrix_instance_q15 * S, + uint16_t nRows, + uint16_t nColumns, + q15_t * pData) +{ + /* Assign Number of Rows */ + S->numRows = nRows; + + /* Assign Number of Columns */ + S->numCols = nColumns; + + /* Assign Data pointer */ + S->pData = pData; +} + +/** + * @} end of MatrixInit group + */ diff --git a/fw/hid-dials/Drivers/CMSIS/DSP/Source/MatrixFunctions/arm_mat_init_q31.c b/fw/hid-dials/Drivers/CMSIS/DSP/Source/MatrixFunctions/arm_mat_init_q31.c new file mode 100644 index 0000000..c8a0839 --- /dev/null +++ b/fw/hid-dials/Drivers/CMSIS/DSP/Source/MatrixFunctions/arm_mat_init_q31.c @@ -0,0 +1,72 @@ +/* ---------------------------------------------------------------------- + * Project: CMSIS DSP Library + * Title: arm_mat_init_q31.c + * Description: Q31 matrix initialization + * + * $Date: 27. January 2017 + * $Revision: V.1.5.1 + * + * Target Processor: Cortex-M cores + * -------------------------------------------------------------------- */ +/* + * Copyright (C) 2010-2017 ARM Limited or its affiliates. All rights reserved. + * + * SPDX-License-Identifier: Apache-2.0 + * + * Licensed under the Apache License, Version 2.0 (the License); you may + * not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an AS IS BASIS, WITHOUT + * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ + +#include "arm_math.h" + +/** + * @ingroup groupMatrix + */ + +/** + * @defgroup MatrixInit Matrix Initialization + * + */ + +/** + * @addtogroup MatrixInit + * @{ + */ + + /** + * @brief Q31 matrix initialization. + * @param[in,out] *S points to an instance of the floating-point matrix structure. + * @param[in] nRows number of rows in the matrix. + * @param[in] nColumns number of columns in the matrix. + * @param[in] *pData points to the matrix data array. + * @return none + */ + +void arm_mat_init_q31( + arm_matrix_instance_q31 * S, + uint16_t nRows, + uint16_t nColumns, + q31_t * pData) +{ + /* Assign Number of Rows */ + S->numRows = nRows; + + /* Assign Number of Columns */ + S->numCols = nColumns; + + /* Assign Data pointer */ + S->pData = pData; +} + +/** + * @} end of MatrixInit group + */ diff --git a/fw/hid-dials/Drivers/CMSIS/DSP/Source/MatrixFunctions/arm_mat_inverse_f32.c b/fw/hid-dials/Drivers/CMSIS/DSP/Source/MatrixFunctions/arm_mat_inverse_f32.c new file mode 100644 index 0000000..c0f8fc4 --- /dev/null +++ b/fw/hid-dials/Drivers/CMSIS/DSP/Source/MatrixFunctions/arm_mat_inverse_f32.c @@ -0,0 +1,691 @@ +/* ---------------------------------------------------------------------- + * Project: CMSIS DSP Library + * Title: arm_mat_inverse_f32.c + * Description: Floating-point matrix inverse + * + * $Date: 27. January 2017 + * $Revision: V.1.5.1 + * + * Target Processor: Cortex-M cores + * -------------------------------------------------------------------- */ +/* + * Copyright (C) 2010-2017 ARM Limited or its affiliates. All rights reserved. + * + * SPDX-License-Identifier: Apache-2.0 + * + * Licensed under the Apache License, Version 2.0 (the License); you may + * not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an AS IS BASIS, WITHOUT + * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ + +#include "arm_math.h" + +/** + * @ingroup groupMatrix + */ + +/** + * @defgroup MatrixInv Matrix Inverse + * + * Computes the inverse of a matrix. + * + * The inverse is defined only if the input matrix is square and non-singular (the determinant + * is non-zero). The function checks that the input and output matrices are square and of the + * same size. + * + * Matrix inversion is numerically sensitive and the CMSIS DSP library only supports matrix + * inversion of floating-point matrices. + * + * \par Algorithm + * The Gauss-Jordan method is used to find the inverse. + * The algorithm performs a sequence of elementary row-operations until it + * reduces the input matrix to an identity matrix. Applying the same sequence + * of elementary row-operations to an identity matrix yields the inverse matrix. + * If the input matrix is singular, then the algorithm terminates and returns error status + * ARM_MATH_SINGULAR. + * \image html MatrixInverse.gif "Matrix Inverse of a 3 x 3 matrix using Gauss-Jordan Method" + */ + +/** + * @addtogroup MatrixInv + * @{ + */ + +/** + * @brief Floating-point matrix inverse. + * @param[in] *pSrc points to input matrix structure + * @param[out] *pDst points to output matrix structure + * @return The function returns + * ARM_MATH_SIZE_MISMATCH if the input matrix is not square or if the size + * of the output matrix does not match the size of the input matrix. + * If the input matrix is found to be singular (non-invertible), then the function returns + * ARM_MATH_SINGULAR. Otherwise, the function returns ARM_MATH_SUCCESS. + */ + +arm_status arm_mat_inverse_f32( + const arm_matrix_instance_f32 * pSrc, + arm_matrix_instance_f32 * pDst) +{ + float32_t *pIn = pSrc->pData; /* input data matrix pointer */ + float32_t *pOut = pDst->pData; /* output data matrix pointer */ + float32_t *pInT1, *pInT2; /* Temporary input data matrix pointer */ + float32_t *pOutT1, *pOutT2; /* Temporary output data matrix pointer */ + float32_t *pPivotRowIn, *pPRT_in, *pPivotRowDst, *pPRT_pDst; /* Temporary input and output data matrix pointer */ + uint32_t numRows = pSrc->numRows; /* Number of rows in the matrix */ + uint32_t numCols = pSrc->numCols; /* Number of Cols in the matrix */ + +#if defined (ARM_MATH_DSP) + float32_t maxC; /* maximum value in the column */ + + /* Run the below code for Cortex-M4 and Cortex-M3 */ + + float32_t Xchg, in = 0.0f, in1; /* Temporary input values */ + uint32_t i, rowCnt, flag = 0U, j, loopCnt, k, l; /* loop counters */ + arm_status status; /* status of matrix inverse */ + +#ifdef ARM_MATH_MATRIX_CHECK + + + /* Check for matrix mismatch condition */ + if ((pSrc->numRows != pSrc->numCols) || (pDst->numRows != pDst->numCols) + || (pSrc->numRows != pDst->numRows)) + { + /* Set status as ARM_MATH_SIZE_MISMATCH */ + status = ARM_MATH_SIZE_MISMATCH; + } + else +#endif /* #ifdef ARM_MATH_MATRIX_CHECK */ + + { + + /*-------------------------------------------------------------------------------------------------------------- + * Matrix Inverse can be solved using elementary row operations. + * + * Gauss-Jordan Method: + * + * 1. First combine the identity matrix and the input matrix separated by a bar to form an + * augmented matrix as follows: + * _ _ _ _ + * | a11 a12 | 1 0 | | X11 X12 | + * | | | = | | + * |_ a21 a22 | 0 1 _| |_ X21 X21 _| + * + * 2. In our implementation, pDst Matrix is used as identity matrix. + * + * 3. Begin with the first row. Let i = 1. + * + * 4. Check to see if the pivot for column i is the greatest of the column. + * The pivot is the element of the main diagonal that is on the current row. + * For instance, if working with row i, then the pivot element is aii. + * If the pivot is not the most significant of the columns, exchange that row with a row + * below it that does contain the most significant value in column i. If the most + * significant value of the column is zero, then an inverse to that matrix does not exist. + * The most significant value of the column is the absolute maximum. + * + * 5. Divide every element of row i by the pivot. + * + * 6. For every row below and row i, replace that row with the sum of that row and + * a multiple of row i so that each new element in column i below row i is zero. + * + * 7. Move to the next row and column and repeat steps 2 through 5 until you have zeros + * for every element below and above the main diagonal. + * + * 8. Now an identical matrix is formed to the left of the bar(input matrix, pSrc). + * Therefore, the matrix to the right of the bar is our solution(pDst matrix, pDst). + *----------------------------------------------------------------------------------------------------------------*/ + + /* Working pointer for destination matrix */ + pOutT1 = pOut; + + /* Loop over the number of rows */ + rowCnt = numRows; + + /* Making the destination matrix as identity matrix */ + while (rowCnt > 0U) + { + /* Writing all zeroes in lower triangle of the destination matrix */ + j = numRows - rowCnt; + while (j > 0U) + { + *pOutT1++ = 0.0f; + j--; + } + + /* Writing all ones in the diagonal of the destination matrix */ + *pOutT1++ = 1.0f; + + /* Writing all zeroes in upper triangle of the destination matrix */ + j = rowCnt - 1U; + while (j > 0U) + { + *pOutT1++ = 0.0f; + j--; + } + + /* Decrement the loop counter */ + rowCnt--; + } + + /* Loop over the number of columns of the input matrix. + All the elements in each column are processed by the row operations */ + loopCnt = numCols; + + /* Index modifier to navigate through the columns */ + l = 0U; + + while (loopCnt > 0U) + { + /* Check if the pivot element is zero.. + * If it is zero then interchange the row with non zero row below. + * If there is no non zero element to replace in the rows below, + * then the matrix is Singular. */ + + /* Working pointer for the input matrix that points + * to the pivot element of the particular row */ + pInT1 = pIn + (l * numCols); + + /* Working pointer for the destination matrix that points + * to the pivot element of the particular row */ + pOutT1 = pOut + (l * numCols); + + /* Temporary variable to hold the pivot value */ + in = *pInT1; + + /* Grab the most significant value from column l */ + maxC = 0; + for (i = l; i < numRows; i++) + { + maxC = *pInT1 > 0 ? (*pInT1 > maxC ? *pInT1 : maxC) : (-*pInT1 > maxC ? -*pInT1 : maxC); + pInT1 += numCols; + } + + /* Update the status if the matrix is singular */ + if (maxC == 0.0f) + { + return ARM_MATH_SINGULAR; + } + + /* Restore pInT1 */ + pInT1 = pIn; + + /* Destination pointer modifier */ + k = 1U; + + /* Check if the pivot element is the most significant of the column */ + if ( (in > 0.0f ? in : -in) != maxC) + { + /* Loop over the number rows present below */ + i = numRows - (l + 1U); + + while (i > 0U) + { + /* Update the input and destination pointers */ + pInT2 = pInT1 + (numCols * l); + pOutT2 = pOutT1 + (numCols * k); + + /* Look for the most significant element to + * replace in the rows below */ + if ((*pInT2 > 0.0f ? *pInT2: -*pInT2) == maxC) + { + /* Loop over number of columns + * to the right of the pilot element */ + j = numCols - l; + + while (j > 0U) + { + /* Exchange the row elements of the input matrix */ + Xchg = *pInT2; + *pInT2++ = *pInT1; + *pInT1++ = Xchg; + + /* Decrement the loop counter */ + j--; + } + + /* Loop over number of columns of the destination matrix */ + j = numCols; + + while (j > 0U) + { + /* Exchange the row elements of the destination matrix */ + Xchg = *pOutT2; + *pOutT2++ = *pOutT1; + *pOutT1++ = Xchg; + + /* Decrement the loop counter */ + j--; + } + + /* Flag to indicate whether exchange is done or not */ + flag = 1U; + + /* Break after exchange is done */ + break; + } + + /* Update the destination pointer modifier */ + k++; + + /* Decrement the loop counter */ + i--; + } + } + + /* Update the status if the matrix is singular */ + if ((flag != 1U) && (in == 0.0f)) + { + return ARM_MATH_SINGULAR; + } + + /* Points to the pivot row of input and destination matrices */ + pPivotRowIn = pIn + (l * numCols); + pPivotRowDst = pOut + (l * numCols); + + /* Temporary pointers to the pivot row pointers */ + pInT1 = pPivotRowIn; + pInT2 = pPivotRowDst; + + /* Pivot element of the row */ + in = *pPivotRowIn; + + /* Loop over number of columns + * to the right of the pilot element */ + j = (numCols - l); + + while (j > 0U) + { + /* Divide each element of the row of the input matrix + * by the pivot element */ + in1 = *pInT1; + *pInT1++ = in1 / in; + + /* Decrement the loop counter */ + j--; + } + + /* Loop over number of columns of the destination matrix */ + j = numCols; + + while (j > 0U) + { + /* Divide each element of the row of the destination matrix + * by the pivot element */ + in1 = *pInT2; + *pInT2++ = in1 / in; + + /* Decrement the loop counter */ + j--; + } + + /* Replace the rows with the sum of that row and a multiple of row i + * so that each new element in column i above row i is zero.*/ + + /* Temporary pointers for input and destination matrices */ + pInT1 = pIn; + pInT2 = pOut; + + /* index used to check for pivot element */ + i = 0U; + + /* Loop over number of rows */ + /* to be replaced by the sum of that row and a multiple of row i */ + k = numRows; + + while (k > 0U) + { + /* Check for the pivot element */ + if (i == l) + { + /* If the processing element is the pivot element, + only the columns to the right are to be processed */ + pInT1 += numCols - l; + + pInT2 += numCols; + } + else + { + /* Element of the reference row */ + in = *pInT1; + + /* Working pointers for input and destination pivot rows */ + pPRT_in = pPivotRowIn; + pPRT_pDst = pPivotRowDst; + + /* Loop over the number of columns to the right of the pivot element, + to replace the elements in the input matrix */ + j = (numCols - l); + + while (j > 0U) + { + /* Replace the element by the sum of that row + and a multiple of the reference row */ + in1 = *pInT1; + *pInT1++ = in1 - (in * *pPRT_in++); + + /* Decrement the loop counter */ + j--; + } + + /* Loop over the number of columns to + replace the elements in the destination matrix */ + j = numCols; + + while (j > 0U) + { + /* Replace the element by the sum of that row + and a multiple of the reference row */ + in1 = *pInT2; + *pInT2++ = in1 - (in * *pPRT_pDst++); + + /* Decrement the loop counter */ + j--; + } + + } + + /* Increment the temporary input pointer */ + pInT1 = pInT1 + l; + + /* Decrement the loop counter */ + k--; + + /* Increment the pivot index */ + i++; + } + + /* Increment the input pointer */ + pIn++; + + /* Decrement the loop counter */ + loopCnt--; + + /* Increment the index modifier */ + l++; + } + + +#else + + /* Run the below code for Cortex-M0 */ + + float32_t Xchg, in = 0.0f; /* Temporary input values */ + uint32_t i, rowCnt, flag = 0U, j, loopCnt, k, l; /* loop counters */ + arm_status status; /* status of matrix inverse */ + +#ifdef ARM_MATH_MATRIX_CHECK + + /* Check for matrix mismatch condition */ + if ((pSrc->numRows != pSrc->numCols) || (pDst->numRows != pDst->numCols) + || (pSrc->numRows != pDst->numRows)) + { + /* Set status as ARM_MATH_SIZE_MISMATCH */ + status = ARM_MATH_SIZE_MISMATCH; + } + else +#endif /* #ifdef ARM_MATH_MATRIX_CHECK */ + { + + /*-------------------------------------------------------------------------------------------------------------- + * Matrix Inverse can be solved using elementary row operations. + * + * Gauss-Jordan Method: + * + * 1. First combine the identity matrix and the input matrix separated by a bar to form an + * augmented matrix as follows: + * _ _ _ _ _ _ _ _ + * | | a11 a12 | | | 1 0 | | | X11 X12 | + * | | | | | | | = | | + * |_ |_ a21 a22 _| | |_0 1 _| _| |_ X21 X21 _| + * + * 2. In our implementation, pDst Matrix is used as identity matrix. + * + * 3. Begin with the first row. Let i = 1. + * + * 4. Check to see if the pivot for row i is zero. + * The pivot is the element of the main diagonal that is on the current row. + * For instance, if working with row i, then the pivot element is aii. + * If the pivot is zero, exchange that row with a row below it that does not + * contain a zero in column i. If this is not possible, then an inverse + * to that matrix does not exist. + * + * 5. Divide every element of row i by the pivot. + * + * 6. For every row below and row i, replace that row with the sum of that row and + * a multiple of row i so that each new element in column i below row i is zero. + * + * 7. Move to the next row and column and repeat steps 2 through 5 until you have zeros + * for every element below and above the main diagonal. + * + * 8. Now an identical matrix is formed to the left of the bar(input matrix, src). + * Therefore, the matrix to the right of the bar is our solution(dst matrix, dst). + *----------------------------------------------------------------------------------------------------------------*/ + + /* Working pointer for destination matrix */ + pOutT1 = pOut; + + /* Loop over the number of rows */ + rowCnt = numRows; + + /* Making the destination matrix as identity matrix */ + while (rowCnt > 0U) + { + /* Writing all zeroes in lower triangle of the destination matrix */ + j = numRows - rowCnt; + while (j > 0U) + { + *pOutT1++ = 0.0f; + j--; + } + + /* Writing all ones in the diagonal of the destination matrix */ + *pOutT1++ = 1.0f; + + /* Writing all zeroes in upper triangle of the destination matrix */ + j = rowCnt - 1U; + while (j > 0U) + { + *pOutT1++ = 0.0f; + j--; + } + + /* Decrement the loop counter */ + rowCnt--; + } + + /* Loop over the number of columns of the input matrix. + All the elements in each column are processed by the row operations */ + loopCnt = numCols; + + /* Index modifier to navigate through the columns */ + l = 0U; + //for(loopCnt = 0U; loopCnt < numCols; loopCnt++) + while (loopCnt > 0U) + { + /* Check if the pivot element is zero.. + * If it is zero then interchange the row with non zero row below. + * If there is no non zero element to replace in the rows below, + * then the matrix is Singular. */ + + /* Working pointer for the input matrix that points + * to the pivot element of the particular row */ + pInT1 = pIn + (l * numCols); + + /* Working pointer for the destination matrix that points + * to the pivot element of the particular row */ + pOutT1 = pOut + (l * numCols); + + /* Temporary variable to hold the pivot value */ + in = *pInT1; + + /* Destination pointer modifier */ + k = 1U; + + /* Check if the pivot element is zero */ + if (*pInT1 == 0.0f) + { + /* Loop over the number rows present below */ + for (i = (l + 1U); i < numRows; i++) + { + /* Update the input and destination pointers */ + pInT2 = pInT1 + (numCols * l); + pOutT2 = pOutT1 + (numCols * k); + + /* Check if there is a non zero pivot element to + * replace in the rows below */ + if (*pInT2 != 0.0f) + { + /* Loop over number of columns + * to the right of the pilot element */ + for (j = 0U; j < (numCols - l); j++) + { + /* Exchange the row elements of the input matrix */ + Xchg = *pInT2; + *pInT2++ = *pInT1; + *pInT1++ = Xchg; + } + + for (j = 0U; j < numCols; j++) + { + Xchg = *pOutT2; + *pOutT2++ = *pOutT1; + *pOutT1++ = Xchg; + } + + /* Flag to indicate whether exchange is done or not */ + flag = 1U; + + /* Break after exchange is done */ + break; + } + + /* Update the destination pointer modifier */ + k++; + } + } + + /* Update the status if the matrix is singular */ + if ((flag != 1U) && (in == 0.0f)) + { + return ARM_MATH_SINGULAR; + } + + /* Points to the pivot row of input and destination matrices */ + pPivotRowIn = pIn + (l * numCols); + pPivotRowDst = pOut + (l * numCols); + + /* Temporary pointers to the pivot row pointers */ + pInT1 = pPivotRowIn; + pOutT1 = pPivotRowDst; + + /* Pivot element of the row */ + in = *(pIn + (l * numCols)); + + /* Loop over number of columns + * to the right of the pilot element */ + for (j = 0U; j < (numCols - l); j++) + { + /* Divide each element of the row of the input matrix + * by the pivot element */ + *pInT1 = *pInT1 / in; + pInT1++; + } + for (j = 0U; j < numCols; j++) + { + /* Divide each element of the row of the destination matrix + * by the pivot element */ + *pOutT1 = *pOutT1 / in; + pOutT1++; + } + + /* Replace the rows with the sum of that row and a multiple of row i + * so that each new element in column i above row i is zero.*/ + + /* Temporary pointers for input and destination matrices */ + pInT1 = pIn; + pOutT1 = pOut; + + for (i = 0U; i < numRows; i++) + { + /* Check for the pivot element */ + if (i == l) + { + /* If the processing element is the pivot element, + only the columns to the right are to be processed */ + pInT1 += numCols - l; + pOutT1 += numCols; + } + else + { + /* Element of the reference row */ + in = *pInT1; + + /* Working pointers for input and destination pivot rows */ + pPRT_in = pPivotRowIn; + pPRT_pDst = pPivotRowDst; + + /* Loop over the number of columns to the right of the pivot element, + to replace the elements in the input matrix */ + for (j = 0U; j < (numCols - l); j++) + { + /* Replace the element by the sum of that row + and a multiple of the reference row */ + *pInT1 = *pInT1 - (in * *pPRT_in++); + pInT1++; + } + /* Loop over the number of columns to + replace the elements in the destination matrix */ + for (j = 0U; j < numCols; j++) + { + /* Replace the element by the sum of that row + and a multiple of the reference row */ + *pOutT1 = *pOutT1 - (in * *pPRT_pDst++); + pOutT1++; + } + + } + /* Increment the temporary input pointer */ + pInT1 = pInT1 + l; + } + /* Increment the input pointer */ + pIn++; + + /* Decrement the loop counter */ + loopCnt--; + /* Increment the index modifier */ + l++; + } + + +#endif /* #if defined (ARM_MATH_DSP) */ + + /* Set status as ARM_MATH_SUCCESS */ + status = ARM_MATH_SUCCESS; + + if ((flag != 1U) && (in == 0.0f)) + { + pIn = pSrc->pData; + for (i = 0; i < numRows * numCols; i++) + { + if (pIn[i] != 0.0f) + break; + } + + if (i == numRows * numCols) + status = ARM_MATH_SINGULAR; + } + } + /* Return to application */ + return (status); +} + +/** + * @} end of MatrixInv group + */ diff --git a/fw/hid-dials/Drivers/CMSIS/DSP/Source/MatrixFunctions/arm_mat_inverse_f64.c b/fw/hid-dials/Drivers/CMSIS/DSP/Source/MatrixFunctions/arm_mat_inverse_f64.c new file mode 100644 index 0000000..441376b --- /dev/null +++ b/fw/hid-dials/Drivers/CMSIS/DSP/Source/MatrixFunctions/arm_mat_inverse_f64.c @@ -0,0 +1,691 @@ +/* ---------------------------------------------------------------------- + * Project: CMSIS DSP Library + * Title: arm_mat_inverse_f64.c + * Description: Floating-point matrix inverse + * + * $Date: 27. January 2017 + * $Revision: V.1.5.1 + * + * Target Processor: Cortex-M cores + * -------------------------------------------------------------------- */ +/* + * Copyright (C) 2010-2017 ARM Limited or its affiliates. All rights reserved. + * + * SPDX-License-Identifier: Apache-2.0 + * + * Licensed under the Apache License, Version 2.0 (the License); you may + * not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an AS IS BASIS, WITHOUT + * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ + +#include "arm_math.h" + +/** + * @ingroup groupMatrix + */ + +/** + * @defgroup MatrixInv Matrix Inverse + * + * Computes the inverse of a matrix. + * + * The inverse is defined only if the input matrix is square and non-singular (the determinant + * is non-zero). The function checks that the input and output matrices are square and of the + * same size. + * + * Matrix inversion is numerically sensitive and the CMSIS DSP library only supports matrix + * inversion of floating-point matrices. + * + * \par Algorithm + * The Gauss-Jordan method is used to find the inverse. + * The algorithm performs a sequence of elementary row-operations until it + * reduces the input matrix to an identity matrix. Applying the same sequence + * of elementary row-operations to an identity matrix yields the inverse matrix. + * If the input matrix is singular, then the algorithm terminates and returns error status + * ARM_MATH_SINGULAR. + * \image html MatrixInverse.gif "Matrix Inverse of a 3 x 3 matrix using Gauss-Jordan Method" + */ + +/** + * @addtogroup MatrixInv + * @{ + */ + +/** + * @brief Floating-point matrix inverse. + * @param[in] *pSrc points to input matrix structure + * @param[out] *pDst points to output matrix structure + * @return The function returns + * ARM_MATH_SIZE_MISMATCH if the input matrix is not square or if the size + * of the output matrix does not match the size of the input matrix. + * If the input matrix is found to be singular (non-invertible), then the function returns + * ARM_MATH_SINGULAR. Otherwise, the function returns ARM_MATH_SUCCESS. + */ + +arm_status arm_mat_inverse_f64( + const arm_matrix_instance_f64 * pSrc, + arm_matrix_instance_f64 * pDst) +{ + float64_t *pIn = pSrc->pData; /* input data matrix pointer */ + float64_t *pOut = pDst->pData; /* output data matrix pointer */ + float64_t *pInT1, *pInT2; /* Temporary input data matrix pointer */ + float64_t *pOutT1, *pOutT2; /* Temporary output data matrix pointer */ + float64_t *pPivotRowIn, *pPRT_in, *pPivotRowDst, *pPRT_pDst; /* Temporary input and output data matrix pointer */ + uint32_t numRows = pSrc->numRows; /* Number of rows in the matrix */ + uint32_t numCols = pSrc->numCols; /* Number of Cols in the matrix */ + +#if defined (ARM_MATH_DSP) + float64_t maxC; /* maximum value in the column */ + + /* Run the below code for Cortex-M4 and Cortex-M3 */ + + float64_t Xchg, in = 0.0f, in1; /* Temporary input values */ + uint32_t i, rowCnt, flag = 0U, j, loopCnt, k, l; /* loop counters */ + arm_status status; /* status of matrix inverse */ + +#ifdef ARM_MATH_MATRIX_CHECK + + + /* Check for matrix mismatch condition */ + if ((pSrc->numRows != pSrc->numCols) || (pDst->numRows != pDst->numCols) + || (pSrc->numRows != pDst->numRows)) + { + /* Set status as ARM_MATH_SIZE_MISMATCH */ + status = ARM_MATH_SIZE_MISMATCH; + } + else +#endif /* #ifdef ARM_MATH_MATRIX_CHECK */ + + { + + /*-------------------------------------------------------------------------------------------------------------- + * Matrix Inverse can be solved using elementary row operations. + * + * Gauss-Jordan Method: + * + * 1. First combine the identity matrix and the input matrix separated by a bar to form an + * augmented matrix as follows: + * _ _ _ _ + * | a11 a12 | 1 0 | | X11 X12 | + * | | | = | | + * |_ a21 a22 | 0 1 _| |_ X21 X21 _| + * + * 2. In our implementation, pDst Matrix is used as identity matrix. + * + * 3. Begin with the first row. Let i = 1. + * + * 4. Check to see if the pivot for column i is the greatest of the column. + * The pivot is the element of the main diagonal that is on the current row. + * For instance, if working with row i, then the pivot element is aii. + * If the pivot is not the most significant of the columns, exchange that row with a row + * below it that does contain the most significant value in column i. If the most + * significant value of the column is zero, then an inverse to that matrix does not exist. + * The most significant value of the column is the absolute maximum. + * + * 5. Divide every element of row i by the pivot. + * + * 6. For every row below and row i, replace that row with the sum of that row and + * a multiple of row i so that each new element in column i below row i is zero. + * + * 7. Move to the next row and column and repeat steps 2 through 5 until you have zeros + * for every element below and above the main diagonal. + * + * 8. Now an identical matrix is formed to the left of the bar(input matrix, pSrc). + * Therefore, the matrix to the right of the bar is our solution(pDst matrix, pDst). + *----------------------------------------------------------------------------------------------------------------*/ + + /* Working pointer for destination matrix */ + pOutT1 = pOut; + + /* Loop over the number of rows */ + rowCnt = numRows; + + /* Making the destination matrix as identity matrix */ + while (rowCnt > 0U) + { + /* Writing all zeroes in lower triangle of the destination matrix */ + j = numRows - rowCnt; + while (j > 0U) + { + *pOutT1++ = 0.0f; + j--; + } + + /* Writing all ones in the diagonal of the destination matrix */ + *pOutT1++ = 1.0f; + + /* Writing all zeroes in upper triangle of the destination matrix */ + j = rowCnt - 1U; + while (j > 0U) + { + *pOutT1++ = 0.0f; + j--; + } + + /* Decrement the loop counter */ + rowCnt--; + } + + /* Loop over the number of columns of the input matrix. + All the elements in each column are processed by the row operations */ + loopCnt = numCols; + + /* Index modifier to navigate through the columns */ + l = 0U; + + while (loopCnt > 0U) + { + /* Check if the pivot element is zero.. + * If it is zero then interchange the row with non zero row below. + * If there is no non zero element to replace in the rows below, + * then the matrix is Singular. */ + + /* Working pointer for the input matrix that points + * to the pivot element of the particular row */ + pInT1 = pIn + (l * numCols); + + /* Working pointer for the destination matrix that points + * to the pivot element of the particular row */ + pOutT1 = pOut + (l * numCols); + + /* Temporary variable to hold the pivot value */ + in = *pInT1; + + /* Grab the most significant value from column l */ + maxC = 0; + for (i = l; i < numRows; i++) + { + maxC = *pInT1 > 0 ? (*pInT1 > maxC ? *pInT1 : maxC) : (-*pInT1 > maxC ? -*pInT1 : maxC); + pInT1 += numCols; + } + + /* Update the status if the matrix is singular */ + if (maxC == 0.0f) + { + return ARM_MATH_SINGULAR; + } + + /* Restore pInT1 */ + pInT1 = pIn; + + /* Destination pointer modifier */ + k = 1U; + + /* Check if the pivot element is the most significant of the column */ + if ( (in > 0.0f ? in : -in) != maxC) + { + /* Loop over the number rows present below */ + i = numRows - (l + 1U); + + while (i > 0U) + { + /* Update the input and destination pointers */ + pInT2 = pInT1 + (numCols * l); + pOutT2 = pOutT1 + (numCols * k); + + /* Look for the most significant element to + * replace in the rows below */ + if ((*pInT2 > 0.0f ? *pInT2: -*pInT2) == maxC) + { + /* Loop over number of columns + * to the right of the pilot element */ + j = numCols - l; + + while (j > 0U) + { + /* Exchange the row elements of the input matrix */ + Xchg = *pInT2; + *pInT2++ = *pInT1; + *pInT1++ = Xchg; + + /* Decrement the loop counter */ + j--; + } + + /* Loop over number of columns of the destination matrix */ + j = numCols; + + while (j > 0U) + { + /* Exchange the row elements of the destination matrix */ + Xchg = *pOutT2; + *pOutT2++ = *pOutT1; + *pOutT1++ = Xchg; + + /* Decrement the loop counter */ + j--; + } + + /* Flag to indicate whether exchange is done or not */ + flag = 1U; + + /* Break after exchange is done */ + break; + } + + /* Update the destination pointer modifier */ + k++; + + /* Decrement the loop counter */ + i--; + } + } + + /* Update the status if the matrix is singular */ + if ((flag != 1U) && (in == 0.0f)) + { + return ARM_MATH_SINGULAR; + } + + /* Points to the pivot row of input and destination matrices */ + pPivotRowIn = pIn + (l * numCols); + pPivotRowDst = pOut + (l * numCols); + + /* Temporary pointers to the pivot row pointers */ + pInT1 = pPivotRowIn; + pInT2 = pPivotRowDst; + + /* Pivot element of the row */ + in = *pPivotRowIn; + + /* Loop over number of columns + * to the right of the pilot element */ + j = (numCols - l); + + while (j > 0U) + { + /* Divide each element of the row of the input matrix + * by the pivot element */ + in1 = *pInT1; + *pInT1++ = in1 / in; + + /* Decrement the loop counter */ + j--; + } + + /* Loop over number of columns of the destination matrix */ + j = numCols; + + while (j > 0U) + { + /* Divide each element of the row of the destination matrix + * by the pivot element */ + in1 = *pInT2; + *pInT2++ = in1 / in; + + /* Decrement the loop counter */ + j--; + } + + /* Replace the rows with the sum of that row and a multiple of row i + * so that each new element in column i above row i is zero.*/ + + /* Temporary pointers for input and destination matrices */ + pInT1 = pIn; + pInT2 = pOut; + + /* index used to check for pivot element */ + i = 0U; + + /* Loop over number of rows */ + /* to be replaced by the sum of that row and a multiple of row i */ + k = numRows; + + while (k > 0U) + { + /* Check for the pivot element */ + if (i == l) + { + /* If the processing element is the pivot element, + only the columns to the right are to be processed */ + pInT1 += numCols - l; + + pInT2 += numCols; + } + else + { + /* Element of the reference row */ + in = *pInT1; + + /* Working pointers for input and destination pivot rows */ + pPRT_in = pPivotRowIn; + pPRT_pDst = pPivotRowDst; + + /* Loop over the number of columns to the right of the pivot element, + to replace the elements in the input matrix */ + j = (numCols - l); + + while (j > 0U) + { + /* Replace the element by the sum of that row + and a multiple of the reference row */ + in1 = *pInT1; + *pInT1++ = in1 - (in * *pPRT_in++); + + /* Decrement the loop counter */ + j--; + } + + /* Loop over the number of columns to + replace the elements in the destination matrix */ + j = numCols; + + while (j > 0U) + { + /* Replace the element by the sum of that row + and a multiple of the reference row */ + in1 = *pInT2; + *pInT2++ = in1 - (in * *pPRT_pDst++); + + /* Decrement the loop counter */ + j--; + } + + } + + /* Increment the temporary input pointer */ + pInT1 = pInT1 + l; + + /* Decrement the loop counter */ + k--; + + /* Increment the pivot index */ + i++; + } + + /* Increment the input pointer */ + pIn++; + + /* Decrement the loop counter */ + loopCnt--; + + /* Increment the index modifier */ + l++; + } + + +#else + + /* Run the below code for Cortex-M0 */ + + float64_t Xchg, in = 0.0f; /* Temporary input values */ + uint32_t i, rowCnt, flag = 0U, j, loopCnt, k, l; /* loop counters */ + arm_status status; /* status of matrix inverse */ + +#ifdef ARM_MATH_MATRIX_CHECK + + /* Check for matrix mismatch condition */ + if ((pSrc->numRows != pSrc->numCols) || (pDst->numRows != pDst->numCols) + || (pSrc->numRows != pDst->numRows)) + { + /* Set status as ARM_MATH_SIZE_MISMATCH */ + status = ARM_MATH_SIZE_MISMATCH; + } + else +#endif /* #ifdef ARM_MATH_MATRIX_CHECK */ + { + + /*-------------------------------------------------------------------------------------------------------------- + * Matrix Inverse can be solved using elementary row operations. + * + * Gauss-Jordan Method: + * + * 1. First combine the identity matrix and the input matrix separated by a bar to form an + * augmented matrix as follows: + * _ _ _ _ _ _ _ _ + * | | a11 a12 | | | 1 0 | | | X11 X12 | + * | | | | | | | = | | + * |_ |_ a21 a22 _| | |_0 1 _| _| |_ X21 X21 _| + * + * 2. In our implementation, pDst Matrix is used as identity matrix. + * + * 3. Begin with the first row. Let i = 1. + * + * 4. Check to see if the pivot for row i is zero. + * The pivot is the element of the main diagonal that is on the current row. + * For instance, if working with row i, then the pivot element is aii. + * If the pivot is zero, exchange that row with a row below it that does not + * contain a zero in column i. If this is not possible, then an inverse + * to that matrix does not exist. + * + * 5. Divide every element of row i by the pivot. + * + * 6. For every row below and row i, replace that row with the sum of that row and + * a multiple of row i so that each new element in column i below row i is zero. + * + * 7. Move to the next row and column and repeat steps 2 through 5 until you have zeros + * for every element below and above the main diagonal. + * + * 8. Now an identical matrix is formed to the left of the bar(input matrix, src). + * Therefore, the matrix to the right of the bar is our solution(dst matrix, dst). + *----------------------------------------------------------------------------------------------------------------*/ + + /* Working pointer for destination matrix */ + pOutT1 = pOut; + + /* Loop over the number of rows */ + rowCnt = numRows; + + /* Making the destination matrix as identity matrix */ + while (rowCnt > 0U) + { + /* Writing all zeroes in lower triangle of the destination matrix */ + j = numRows - rowCnt; + while (j > 0U) + { + *pOutT1++ = 0.0f; + j--; + } + + /* Writing all ones in the diagonal of the destination matrix */ + *pOutT1++ = 1.0f; + + /* Writing all zeroes in upper triangle of the destination matrix */ + j = rowCnt - 1U; + while (j > 0U) + { + *pOutT1++ = 0.0f; + j--; + } + + /* Decrement the loop counter */ + rowCnt--; + } + + /* Loop over the number of columns of the input matrix. + All the elements in each column are processed by the row operations */ + loopCnt = numCols; + + /* Index modifier to navigate through the columns */ + l = 0U; + //for(loopCnt = 0U; loopCnt < numCols; loopCnt++) + while (loopCnt > 0U) + { + /* Check if the pivot element is zero.. + * If it is zero then interchange the row with non zero row below. + * If there is no non zero element to replace in the rows below, + * then the matrix is Singular. */ + + /* Working pointer for the input matrix that points + * to the pivot element of the particular row */ + pInT1 = pIn + (l * numCols); + + /* Working pointer for the destination matrix that points + * to the pivot element of the particular row */ + pOutT1 = pOut + (l * numCols); + + /* Temporary variable to hold the pivot value */ + in = *pInT1; + + /* Destination pointer modifier */ + k = 1U; + + /* Check if the pivot element is zero */ + if (*pInT1 == 0.0f) + { + /* Loop over the number rows present below */ + for (i = (l + 1U); i < numRows; i++) + { + /* Update the input and destination pointers */ + pInT2 = pInT1 + (numCols * l); + pOutT2 = pOutT1 + (numCols * k); + + /* Check if there is a non zero pivot element to + * replace in the rows below */ + if (*pInT2 != 0.0f) + { + /* Loop over number of columns + * to the right of the pilot element */ + for (j = 0U; j < (numCols - l); j++) + { + /* Exchange the row elements of the input matrix */ + Xchg = *pInT2; + *pInT2++ = *pInT1; + *pInT1++ = Xchg; + } + + for (j = 0U; j < numCols; j++) + { + Xchg = *pOutT2; + *pOutT2++ = *pOutT1; + *pOutT1++ = Xchg; + } + + /* Flag to indicate whether exchange is done or not */ + flag = 1U; + + /* Break after exchange is done */ + break; + } + + /* Update the destination pointer modifier */ + k++; + } + } + + /* Update the status if the matrix is singular */ + if ((flag != 1U) && (in == 0.0f)) + { + return ARM_MATH_SINGULAR; + } + + /* Points to the pivot row of input and destination matrices */ + pPivotRowIn = pIn + (l * numCols); + pPivotRowDst = pOut + (l * numCols); + + /* Temporary pointers to the pivot row pointers */ + pInT1 = pPivotRowIn; + pOutT1 = pPivotRowDst; + + /* Pivot element of the row */ + in = *(pIn + (l * numCols)); + + /* Loop over number of columns + * to the right of the pilot element */ + for (j = 0U; j < (numCols - l); j++) + { + /* Divide each element of the row of the input matrix + * by the pivot element */ + *pInT1 = *pInT1 / in; + pInT1++; + } + for (j = 0U; j < numCols; j++) + { + /* Divide each element of the row of the destination matrix + * by the pivot element */ + *pOutT1 = *pOutT1 / in; + pOutT1++; + } + + /* Replace the rows with the sum of that row and a multiple of row i + * so that each new element in column i above row i is zero.*/ + + /* Temporary pointers for input and destination matrices */ + pInT1 = pIn; + pOutT1 = pOut; + + for (i = 0U; i < numRows; i++) + { + /* Check for the pivot element */ + if (i == l) + { + /* If the processing element is the pivot element, + only the columns to the right are to be processed */ + pInT1 += numCols - l; + pOutT1 += numCols; + } + else + { + /* Element of the reference row */ + in = *pInT1; + + /* Working pointers for input and destination pivot rows */ + pPRT_in = pPivotRowIn; + pPRT_pDst = pPivotRowDst; + + /* Loop over the number of columns to the right of the pivot element, + to replace the elements in the input matrix */ + for (j = 0U; j < (numCols - l); j++) + { + /* Replace the element by the sum of that row + and a multiple of the reference row */ + *pInT1 = *pInT1 - (in * *pPRT_in++); + pInT1++; + } + /* Loop over the number of columns to + replace the elements in the destination matrix */ + for (j = 0U; j < numCols; j++) + { + /* Replace the element by the sum of that row + and a multiple of the reference row */ + *pOutT1 = *pOutT1 - (in * *pPRT_pDst++); + pOutT1++; + } + + } + /* Increment the temporary input pointer */ + pInT1 = pInT1 + l; + } + /* Increment the input pointer */ + pIn++; + + /* Decrement the loop counter */ + loopCnt--; + /* Increment the index modifier */ + l++; + } + + +#endif /* #if defined (ARM_MATH_DSP) */ + + /* Set status as ARM_MATH_SUCCESS */ + status = ARM_MATH_SUCCESS; + + if ((flag != 1U) && (in == 0.0f)) + { + pIn = pSrc->pData; + for (i = 0; i < numRows * numCols; i++) + { + if (pIn[i] != 0.0f) + break; + } + + if (i == numRows * numCols) + status = ARM_MATH_SINGULAR; + } + } + /* Return to application */ + return (status); +} + +/** + * @} end of MatrixInv group + */ diff --git a/fw/hid-dials/Drivers/CMSIS/DSP/Source/MatrixFunctions/arm_mat_mult_f32.c b/fw/hid-dials/Drivers/CMSIS/DSP/Source/MatrixFunctions/arm_mat_mult_f32.c new file mode 100644 index 0000000..fa9f03f --- /dev/null +++ b/fw/hid-dials/Drivers/CMSIS/DSP/Source/MatrixFunctions/arm_mat_mult_f32.c @@ -0,0 +1,274 @@ +/* ---------------------------------------------------------------------- + * Project: CMSIS DSP Library + * Title: arm_mat_mult_f32.c + * Description: Floating-point matrix multiplication + * + * $Date: 27. January 2017 + * $Revision: V.1.5.1 + * + * Target Processor: Cortex-M cores + * -------------------------------------------------------------------- */ +/* + * Copyright (C) 2010-2017 ARM Limited or its affiliates. All rights reserved. + * + * SPDX-License-Identifier: Apache-2.0 + * + * Licensed under the Apache License, Version 2.0 (the License); you may + * not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an AS IS BASIS, WITHOUT + * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ + +#include "arm_math.h" + +/** + * @ingroup groupMatrix + */ + +/** + * @defgroup MatrixMult Matrix Multiplication + * + * Multiplies two matrices. + * + * \image html MatrixMultiplication.gif "Multiplication of two 3 x 3 matrices" + + * Matrix multiplication is only defined if the number of columns of the + * first matrix equals the number of rows of the second matrix. + * Multiplying an M x N matrix with an N x P matrix results + * in an M x P matrix. + * When matrix size checking is enabled, the functions check: (1) that the inner dimensions of + * pSrcA and pSrcB are equal; and (2) that the size of the output + * matrix equals the outer dimensions of pSrcA and pSrcB. + */ + + +/** + * @addtogroup MatrixMult + * @{ + */ + +/** + * @brief Floating-point matrix multiplication. + * @param[in] *pSrcA points to the first input matrix structure + * @param[in] *pSrcB points to the second input matrix structure + * @param[out] *pDst points to output matrix structure + * @return The function returns either + * ARM_MATH_SIZE_MISMATCH or ARM_MATH_SUCCESS based on the outcome of size checking. + */ + +arm_status arm_mat_mult_f32( + const arm_matrix_instance_f32 * pSrcA, + const arm_matrix_instance_f32 * pSrcB, + arm_matrix_instance_f32 * pDst) +{ + float32_t *pIn1 = pSrcA->pData; /* input data matrix pointer A */ + float32_t *pIn2 = pSrcB->pData; /* input data matrix pointer B */ + float32_t *pInA = pSrcA->pData; /* input data matrix pointer A */ + float32_t *pOut = pDst->pData; /* output data matrix pointer */ + float32_t *px; /* Temporary output data matrix pointer */ + float32_t sum; /* Accumulator */ + uint16_t numRowsA = pSrcA->numRows; /* number of rows of input matrix A */ + uint16_t numColsB = pSrcB->numCols; /* number of columns of input matrix B */ + uint16_t numColsA = pSrcA->numCols; /* number of columns of input matrix A */ + +#if defined (ARM_MATH_DSP) + + /* Run the below code for Cortex-M4 and Cortex-M3 */ + + float32_t in1, in2, in3, in4; + uint16_t col, i = 0U, j, row = numRowsA, colCnt; /* loop counters */ + arm_status status; /* status of matrix multiplication */ + +#ifdef ARM_MATH_MATRIX_CHECK + + + /* Check for matrix mismatch condition */ + if ((pSrcA->numCols != pSrcB->numRows) || + (pSrcA->numRows != pDst->numRows) || (pSrcB->numCols != pDst->numCols)) + { + + /* Set status as ARM_MATH_SIZE_MISMATCH */ + status = ARM_MATH_SIZE_MISMATCH; + } + else +#endif /* #ifdef ARM_MATH_MATRIX_CHECK */ + + { + /* The following loop performs the dot-product of each row in pSrcA with each column in pSrcB */ + /* row loop */ + do + { + /* Output pointer is set to starting address of the row being processed */ + px = pOut + i; + + /* For every row wise process, the column loop counter is to be initiated */ + col = numColsB; + + /* For every row wise process, the pIn2 pointer is set + ** to the starting address of the pSrcB data */ + pIn2 = pSrcB->pData; + + j = 0U; + + /* column loop */ + do + { + /* Set the variable sum, that acts as accumulator, to zero */ + sum = 0.0f; + + /* Initiate the pointer pIn1 to point to the starting address of the column being processed */ + pIn1 = pInA; + + /* Apply loop unrolling and compute 4 MACs simultaneously. */ + colCnt = numColsA >> 2U; + + /* matrix multiplication */ + while (colCnt > 0U) + { + /* c(m,n) = a(1,1)*b(1,1) + a(1,2) * b(2,1) + .... + a(m,p)*b(p,n) */ + in3 = *pIn2; + pIn2 += numColsB; + in1 = pIn1[0]; + in2 = pIn1[1]; + sum += in1 * in3; + in4 = *pIn2; + pIn2 += numColsB; + sum += in2 * in4; + + in3 = *pIn2; + pIn2 += numColsB; + in1 = pIn1[2]; + in2 = pIn1[3]; + sum += in1 * in3; + in4 = *pIn2; + pIn2 += numColsB; + sum += in2 * in4; + pIn1 += 4U; + + /* Decrement the loop count */ + colCnt--; + } + + /* If the columns of pSrcA is not a multiple of 4, compute any remaining MACs here. + ** No loop unrolling is used. */ + colCnt = numColsA % 0x4U; + + while (colCnt > 0U) + { + /* c(m,n) = a(1,1)*b(1,1) + a(1,2) * b(2,1) + .... + a(m,p)*b(p,n) */ + sum += *pIn1++ * (*pIn2); + pIn2 += numColsB; + + /* Decrement the loop counter */ + colCnt--; + } + + /* Store the result in the destination buffer */ + *px++ = sum; + + /* Update the pointer pIn2 to point to the starting address of the next column */ + j++; + pIn2 = pSrcB->pData + j; + + /* Decrement the column loop counter */ + col--; + + } while (col > 0U); + +#else + + /* Run the below code for Cortex-M0 */ + + float32_t *pInB = pSrcB->pData; /* input data matrix pointer B */ + uint16_t col, i = 0U, row = numRowsA, colCnt; /* loop counters */ + arm_status status; /* status of matrix multiplication */ + +#ifdef ARM_MATH_MATRIX_CHECK + + /* Check for matrix mismatch condition */ + if ((pSrcA->numCols != pSrcB->numRows) || + (pSrcA->numRows != pDst->numRows) || (pSrcB->numCols != pDst->numCols)) + { + + /* Set status as ARM_MATH_SIZE_MISMATCH */ + status = ARM_MATH_SIZE_MISMATCH; + } + else +#endif /* #ifdef ARM_MATH_MATRIX_CHECK */ + + { + /* The following loop performs the dot-product of each row in pInA with each column in pInB */ + /* row loop */ + do + { + /* Output pointer is set to starting address of the row being processed */ + px = pOut + i; + + /* For every row wise process, the column loop counter is to be initiated */ + col = numColsB; + + /* For every row wise process, the pIn2 pointer is set + ** to the starting address of the pSrcB data */ + pIn2 = pSrcB->pData; + + /* column loop */ + do + { + /* Set the variable sum, that acts as accumulator, to zero */ + sum = 0.0f; + + /* Initialize the pointer pIn1 to point to the starting address of the row being processed */ + pIn1 = pInA; + + /* Matrix A columns number of MAC operations are to be performed */ + colCnt = numColsA; + + while (colCnt > 0U) + { + /* c(m,n) = a(1,1)*b(1,1) + a(1,2) * b(2,1) + .... + a(m,p)*b(p,n) */ + sum += *pIn1++ * (*pIn2); + pIn2 += numColsB; + + /* Decrement the loop counter */ + colCnt--; + } + + /* Store the result in the destination buffer */ + *px++ = sum; + + /* Decrement the column loop counter */ + col--; + + /* Update the pointer pIn2 to point to the starting address of the next column */ + pIn2 = pInB + (numColsB - col); + + } while (col > 0U); + +#endif /* #if defined (ARM_MATH_DSP) */ + + /* Update the pointer pInA to point to the starting address of the next row */ + i = i + numColsB; + pInA = pInA + numColsA; + + /* Decrement the row loop counter */ + row--; + + } while (row > 0U); + /* Set status as ARM_MATH_SUCCESS */ + status = ARM_MATH_SUCCESS; + } + + /* Return to application */ + return (status); +} + +/** + * @} end of MatrixMult group + */ diff --git a/fw/hid-dials/Drivers/CMSIS/DSP/Source/MatrixFunctions/arm_mat_mult_fast_q15.c b/fw/hid-dials/Drivers/CMSIS/DSP/Source/MatrixFunctions/arm_mat_mult_fast_q15.c new file mode 100644 index 0000000..796df88 --- /dev/null +++ b/fw/hid-dials/Drivers/CMSIS/DSP/Source/MatrixFunctions/arm_mat_mult_fast_q15.c @@ -0,0 +1,525 @@ +/* ---------------------------------------------------------------------- + * Project: CMSIS DSP Library + * Title: arm_mat_mult_fast_q15.c + * Description: Q15 matrix multiplication (fast variant) + * + * $Date: 27. January 2017 + * $Revision: V.1.5.1 + * + * Target Processor: Cortex-M cores + * -------------------------------------------------------------------- */ +/* + * Copyright (C) 2010-2017 ARM Limited or its affiliates. All rights reserved. + * + * SPDX-License-Identifier: Apache-2.0 + * + * Licensed under the Apache License, Version 2.0 (the License); you may + * not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an AS IS BASIS, WITHOUT + * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ + +#include "arm_math.h" + +/** + * @ingroup groupMatrix + */ + +/** + * @addtogroup MatrixMult + * @{ + */ + + +/** + * @brief Q15 matrix multiplication (fast variant) for Cortex-M3 and Cortex-M4 + * @param[in] *pSrcA points to the first input matrix structure + * @param[in] *pSrcB points to the second input matrix structure + * @param[out] *pDst points to output matrix structure + * @param[in] *pState points to the array for storing intermediate results + * @return The function returns either + * ARM_MATH_SIZE_MISMATCH or ARM_MATH_SUCCESS based on the outcome of size checking. + * + * @details + * Scaling and Overflow Behavior: + * + * \par + * The difference between the function arm_mat_mult_q15() and this fast variant is that + * the fast variant use a 32-bit rather than a 64-bit accumulator. + * The result of each 1.15 x 1.15 multiplication is truncated to + * 2.30 format. These intermediate results are accumulated in a 32-bit register in 2.30 + * format. Finally, the accumulator is saturated and converted to a 1.15 result. + * + * \par + * The fast version has the same overflow behavior as the standard version but provides + * less precision since it discards the low 16 bits of each multiplication result. + * In order to avoid overflows completely the input signals must be scaled down. + * Scale down one of the input matrices by log2(numColsA) bits to + * avoid overflows, as a total of numColsA additions are computed internally for each + * output element. + * + * \par + * See arm_mat_mult_q15() for a slower implementation of this function + * which uses 64-bit accumulation to provide higher precision. + */ + +arm_status arm_mat_mult_fast_q15( + const arm_matrix_instance_q15 * pSrcA, + const arm_matrix_instance_q15 * pSrcB, + arm_matrix_instance_q15 * pDst, + q15_t * pState) +{ + q31_t sum; /* accumulator */ + q15_t *pSrcBT = pState; /* input data matrix pointer for transpose */ + q15_t *pInA = pSrcA->pData; /* input data matrix pointer A of Q15 type */ + q15_t *pInB = pSrcB->pData; /* input data matrix pointer B of Q15 type */ + q15_t *px; /* Temporary output data matrix pointer */ + uint16_t numRowsA = pSrcA->numRows; /* number of rows of input matrix A */ + uint16_t numColsB = pSrcB->numCols; /* number of columns of input matrix B */ + uint16_t numColsA = pSrcA->numCols; /* number of columns of input matrix A */ + uint16_t numRowsB = pSrcB->numRows; /* number of rows of input matrix A */ + uint32_t col, i = 0U, row = numRowsB, colCnt; /* loop counters */ + arm_status status; /* status of matrix multiplication */ + +#ifndef UNALIGNED_SUPPORT_DISABLE + + q31_t in; /* Temporary variable to hold the input value */ + q31_t inA1, inA2, inB1, inB2; + q31_t sum2, sum3, sum4; + q15_t *pInA2, *pInB2, *px2; + uint32_t j = 0; + +#else + + q15_t in; /* Temporary variable to hold the input value */ + q15_t inA1, inA2, inB1, inB2; + +#endif /* #ifndef UNALIGNED_SUPPORT_DISABLE */ + +#ifdef ARM_MATH_MATRIX_CHECK + /* Check for matrix mismatch condition */ + if ((pSrcA->numCols != pSrcB->numRows) || + (pSrcA->numRows != pDst->numRows) || (pSrcB->numCols != pDst->numCols)) + { + /* Set status as ARM_MATH_SIZE_MISMATCH */ + status = ARM_MATH_SIZE_MISMATCH; + } + else +#endif + { + /* Matrix transpose */ + do + { + /* Apply loop unrolling and exchange the columns with row elements */ + col = numColsB >> 2; + + /* The pointer px is set to starting address of the column being processed */ + px = pSrcBT + i; + + /* First part of the processing with loop unrolling. Compute 4 outputs at a time. + ** a second loop below computes the remaining 1 to 3 samples. */ + while (col > 0U) + { +#ifndef UNALIGNED_SUPPORT_DISABLE + /* Read two elements from the row */ + in = *__SIMD32(pInB)++; + + /* Unpack and store one element in the destination */ +#ifndef ARM_MATH_BIG_ENDIAN + + *px = (q15_t) in; + +#else + + *px = (q15_t) ((in & (q31_t) 0xffff0000) >> 16); + +#endif /* #ifndef ARM_MATH_BIG_ENDIAN */ + + /* Update the pointer px to point to the next row of the transposed matrix */ + px += numRowsB; + + /* Unpack and store the second element in the destination */ +#ifndef ARM_MATH_BIG_ENDIAN + + *px = (q15_t) ((in & (q31_t) 0xffff0000) >> 16); + +#else + + *px = (q15_t) in; + +#endif /* #ifndef ARM_MATH_BIG_ENDIAN */ + + /* Update the pointer px to point to the next row of the transposed matrix */ + px += numRowsB; + + /* Read two elements from the row */ + in = *__SIMD32(pInB)++; + + /* Unpack and store one element in the destination */ +#ifndef ARM_MATH_BIG_ENDIAN + + *px = (q15_t) in; + +#else + + *px = (q15_t) ((in & (q31_t) 0xffff0000) >> 16); + +#endif /* #ifndef ARM_MATH_BIG_ENDIAN */ + + /* Update the pointer px to point to the next row of the transposed matrix */ + px += numRowsB; + + /* Unpack and store the second element in the destination */ + +#ifndef ARM_MATH_BIG_ENDIAN + + *px = (q15_t) ((in & (q31_t) 0xffff0000) >> 16); + +#else + + *px = (q15_t) in; + +#endif /* #ifndef ARM_MATH_BIG_ENDIAN */ + +#else + + /* Read one element from the row */ + in = *pInB++; + + /* Store one element in the destination */ + *px = in; + + /* Update the pointer px to point to the next row of the transposed matrix */ + px += numRowsB; + + /* Read one element from the row */ + in = *pInB++; + + /* Store one element in the destination */ + *px = in; + + /* Update the pointer px to point to the next row of the transposed matrix */ + px += numRowsB; + + /* Read one element from the row */ + in = *pInB++; + + /* Store one element in the destination */ + *px = in; + + /* Update the pointer px to point to the next row of the transposed matrix */ + px += numRowsB; + + /* Read one element from the row */ + in = *pInB++; + + /* Store one element in the destination */ + *px = in; + +#endif /* #ifndef UNALIGNED_SUPPORT_DISABLE */ + + /* Update the pointer px to point to the next row of the transposed matrix */ + px += numRowsB; + + /* Decrement the column loop counter */ + col--; + } + + /* If the columns of pSrcB is not a multiple of 4, compute any remaining output samples here. + ** No loop unrolling is used. */ + col = numColsB % 0x4U; + + while (col > 0U) + { + /* Read and store the input element in the destination */ + *px = *pInB++; + + /* Update the pointer px to point to the next row of the transposed matrix */ + px += numRowsB; + + /* Decrement the column loop counter */ + col--; + } + + i++; + + /* Decrement the row loop counter */ + row--; + + } while (row > 0U); + + /* Reset the variables for the usage in the following multiplication process */ + row = numRowsA; + i = 0U; + px = pDst->pData; + +#ifndef UNALIGNED_SUPPORT_DISABLE + /* Process two rows from matrix A at a time and output two rows at a time */ + row = row >> 1; + px2 = px + numColsB; +#endif + + /* The following loop performs the dot-product of each row in pSrcA with each column in pSrcB */ + /* row loop */ + while (row > 0U) + { + /* For every row wise process, the column loop counter is to be initiated */ + col = numColsB; + + /* For every row wise process, the pIn2 pointer is set + ** to the starting address of the transposed pSrcB data */ + pInB = pSrcBT; + +#ifndef UNALIGNED_SUPPORT_DISABLE + /* Process two (transposed) columns from matrix B at a time */ + col = col >> 1; + j = 0; +#endif + + /* column loop */ + while (col > 0U) + { + /* Set the variable sum, that acts as accumulator, to zero */ + sum = 0; + + /* Initiate the pointer pInA to point to the starting address of the column being processed */ + pInA = pSrcA->pData + i; + +#ifndef UNALIGNED_SUPPORT_DISABLE + sum2 = 0; + sum3 = 0; + sum4 = 0; + pInB = pSrcBT + j; + pInA2 = pInA + numColsA; + pInB2 = pInB + numRowsB; + + /* Read in two elements at once - alows dual MAC instruction */ + colCnt = numColsA >> 1; +#else + colCnt = numColsA >> 2; +#endif + + /* matrix multiplication */ + while (colCnt > 0U) + { + /* c(m,n) = a(1,1)*b(1,1) + a(1,2) * b(2,1) + .... + a(m,p)*b(p,n) */ +#ifndef UNALIGNED_SUPPORT_DISABLE + + inA1 = *__SIMD32(pInA)++; + inB1 = *__SIMD32(pInB)++; + inA2 = *__SIMD32(pInA2)++; + inB2 = *__SIMD32(pInB2)++; + + sum = __SMLAD(inA1, inB1, sum); + sum2 = __SMLAD(inA1, inB2, sum2); + sum3 = __SMLAD(inA2, inB1, sum3); + sum4 = __SMLAD(inA2, inB2, sum4); + +#else + + inA1 = *pInA; + inB1 = *pInB; + sum += inA1 * inB1; + + inA2 = pInA[1]; + inB2 = pInB[1]; + sum += inA2 * inB2; + + inA1 = pInA[2]; + inB1 = pInB[2]; + sum += inA1 * inB1; + + inA2 = pInA[3]; + inB2 = pInB[3]; + sum += inA2 * inB2; + + pInA += 4; + pInB += 4; + +#endif /* #ifndef UNALIGNED_SUPPORT_DISABLE */ + + /* Decrement the loop counter */ + colCnt--; + } + + /* process odd column samples */ +#ifndef UNALIGNED_SUPPORT_DISABLE + if (numColsA & 1U) { + inA1 = *pInA++; + inB1 = *pInB++; + inA2 = *pInA2++; + inB2 = *pInB2++; + sum += inA1 * inB1; + sum2 += inA1 * inB2; + sum3 += inA2 * inB1; + sum4 += inA2 * inB2; + } +#else + colCnt = numColsA % 0x4U; + + while (colCnt > 0U) + { + /* c(m,n) = a(1,1)*b(1,1) + a(1,2) * b(2,1) + .... + a(m,p)*b(p,n) */ + sum += (q31_t) (*pInA++) * (*pInB++); + + colCnt--; + } +#endif + + /* Saturate and store the result in the destination buffer */ + *px++ = (q15_t) (sum >> 15); + +#ifndef UNALIGNED_SUPPORT_DISABLE + *px++ = (q15_t) (sum2 >> 15); + *px2++ = (q15_t) (sum3 >> 15); + *px2++ = (q15_t) (sum4 >> 15); + j += numRowsB * 2; +#endif + + /* Decrement the column loop counter */ + col--; + + } + + i = i + numColsA; + +#ifndef UNALIGNED_SUPPORT_DISABLE + i = i + numColsA; + px = px2 + (numColsB & 1U); + px2 = px + numColsB; +#endif + + /* Decrement the row loop counter */ + row--; + + } + + /* Compute any remaining odd row/column below */ + +#ifndef UNALIGNED_SUPPORT_DISABLE + + /* Compute remaining output column */ + if (numColsB & 1U) { + + /* Avoid redundant computation of last element */ + row = numRowsA & (~0x1); + + /* Point to remaining unfilled column in output matrix */ + px = pDst->pData+numColsB-1; + pInA = pSrcA->pData; + + /* row loop */ + while (row > 0) + { + + /* point to last column in matrix B */ + pInB = pSrcBT + numRowsB*(numColsB-1); + + /* Set the variable sum, that acts as accumulator, to zero */ + sum = 0; + + /* Compute 4 columns at once */ + colCnt = numColsA >> 2; + + /* matrix multiplication */ + while (colCnt > 0U) + { + inA1 = *__SIMD32(pInA)++; + inA2 = *__SIMD32(pInA)++; + inB1 = *__SIMD32(pInB)++; + inB2 = *__SIMD32(pInB)++; + + sum = __SMLAD(inA1, inB1, sum); + sum = __SMLAD(inA2, inB2, sum); + + /* Decrement the loop counter */ + colCnt--; + } + + colCnt = numColsA & 3U; + while (colCnt > 0U) { + sum += (q31_t) (*pInA++) * (*pInB++); + colCnt--; + } + + /* Store the result in the destination buffer */ + *px = (q15_t) (sum >> 15); + px += numColsB; + + /* Decrement the row loop counter */ + row--; + } + } + + /* Compute remaining output row */ + if (numRowsA & 1U) { + + /* point to last row in output matrix */ + px = pDst->pData+(numColsB)*(numRowsA-1); + + pInB = pSrcBT; + col = numColsB; + i = 0U; + + /* col loop */ + while (col > 0) + { + + /* point to last row in matrix A */ + pInA = pSrcA->pData + (numRowsA-1)*numColsA; + + /* Set the variable sum, that acts as accumulator, to zero */ + sum = 0; + + /* Compute 4 columns at once */ + colCnt = numColsA >> 2; + + /* matrix multiplication */ + while (colCnt > 0U) + { + inA1 = *__SIMD32(pInA)++; + inA2 = *__SIMD32(pInA)++; + inB1 = *__SIMD32(pInB)++; + inB2 = *__SIMD32(pInB)++; + + sum = __SMLAD(inA1, inB1, sum); + sum = __SMLAD(inA2, inB2, sum); + + /* Decrement the loop counter */ + colCnt--; + } + + colCnt = numColsA & 3U; + while (colCnt > 0U) { + sum += (q31_t) (*pInA++) * (*pInB++); + colCnt--; + } + + /* Store the result in the destination buffer */ + *px++ = (q15_t) (sum >> 15); + + /* Decrement the col loop counter */ + col--; + } + } + +#endif /* #ifndef UNALIGNED_SUPPORT_DISABLE */ + + /* set status as ARM_MATH_SUCCESS */ + status = ARM_MATH_SUCCESS; + } + + /* Return to application */ + return (status); +} + +/** + * @} end of MatrixMult group + */ diff --git a/fw/hid-dials/Drivers/CMSIS/DSP/Source/MatrixFunctions/arm_mat_mult_fast_q31.c b/fw/hid-dials/Drivers/CMSIS/DSP/Source/MatrixFunctions/arm_mat_mult_fast_q31.c new file mode 100644 index 0000000..bff3177 --- /dev/null +++ b/fw/hid-dials/Drivers/CMSIS/DSP/Source/MatrixFunctions/arm_mat_mult_fast_q31.c @@ -0,0 +1,384 @@ +/* ---------------------------------------------------------------------- + * Project: CMSIS DSP Library + * Title: arm_mat_mult_fast_q31.c + * Description: Q31 matrix multiplication (fast variant) + * + * $Date: 27. January 2017 + * $Revision: V.1.5.1 + * + * Target Processor: Cortex-M cores + * -------------------------------------------------------------------- */ +/* + * Copyright (C) 2010-2017 ARM Limited or its affiliates. All rights reserved. + * + * SPDX-License-Identifier: Apache-2.0 + * + * Licensed under the Apache License, Version 2.0 (the License); you may + * not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an AS IS BASIS, WITHOUT + * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ + +#include "arm_math.h" + +/** + * @ingroup groupMatrix + */ + +/** + * @addtogroup MatrixMult + * @{ + */ + +/** + * @brief Q31 matrix multiplication (fast variant) for Cortex-M3 and Cortex-M4 + * @param[in] *pSrcA points to the first input matrix structure + * @param[in] *pSrcB points to the second input matrix structure + * @param[out] *pDst points to output matrix structure + * @return The function returns either + * ARM_MATH_SIZE_MISMATCH or ARM_MATH_SUCCESS based on the outcome of size checking. + * + * @details + * Scaling and Overflow Behavior: + * + * \par + * The difference between the function arm_mat_mult_q31() and this fast variant is that + * the fast variant use a 32-bit rather than a 64-bit accumulator. + * The result of each 1.31 x 1.31 multiplication is truncated to + * 2.30 format. These intermediate results are accumulated in a 32-bit register in 2.30 + * format. Finally, the accumulator is saturated and converted to a 1.31 result. + * + * \par + * The fast version has the same overflow behavior as the standard version but provides + * less precision since it discards the low 32 bits of each multiplication result. + * In order to avoid overflows completely the input signals must be scaled down. + * Scale down one of the input matrices by log2(numColsA) bits to + * avoid overflows, as a total of numColsA additions are computed internally for each + * output element. + * + * \par + * See arm_mat_mult_q31() for a slower implementation of this function + * which uses 64-bit accumulation to provide higher precision. + */ + +arm_status arm_mat_mult_fast_q31( + const arm_matrix_instance_q31 * pSrcA, + const arm_matrix_instance_q31 * pSrcB, + arm_matrix_instance_q31 * pDst) +{ + q31_t *pInA = pSrcA->pData; /* input data matrix pointer A */ + q31_t *pInB = pSrcB->pData; /* input data matrix pointer B */ + q31_t *px; /* Temporary output data matrix pointer */ + q31_t sum; /* Accumulator */ + uint16_t numRowsA = pSrcA->numRows; /* number of rows of input matrix A */ + uint16_t numColsB = pSrcB->numCols; /* number of columns of input matrix B */ + uint16_t numColsA = pSrcA->numCols; /* number of columns of input matrix A */ + uint32_t col, i = 0U, j, row = numRowsA, colCnt; /* loop counters */ + arm_status status; /* status of matrix multiplication */ + q31_t inA1, inB1; + +#if defined (ARM_MATH_DSP) + + q31_t sum2, sum3, sum4; + q31_t inA2, inB2; + q31_t *pInA2; + q31_t *px2; + +#endif + +#ifdef ARM_MATH_MATRIX_CHECK + + /* Check for matrix mismatch condition */ + if ((pSrcA->numCols != pSrcB->numRows) || + (pSrcA->numRows != pDst->numRows) || (pSrcB->numCols != pDst->numCols)) + { + /* Set status as ARM_MATH_SIZE_MISMATCH */ + status = ARM_MATH_SIZE_MISMATCH; + } + else +#endif /* #ifdef ARM_MATH_MATRIX_CHECK */ + + { + + px = pDst->pData; + +#if defined (ARM_MATH_DSP) + row = row >> 1; + px2 = px + numColsB; +#endif + + /* The following loop performs the dot-product of each row in pSrcA with each column in pSrcB */ + /* row loop */ + while (row > 0U) + { + + /* For every row wise process, the column loop counter is to be initiated */ + col = numColsB; + + /* For every row wise process, the pIn2 pointer is set + ** to the starting address of the pSrcB data */ + pInB = pSrcB->pData; + + j = 0U; + +#if defined (ARM_MATH_DSP) + col = col >> 1; +#endif + + /* column loop */ + while (col > 0U) + { + /* Set the variable sum, that acts as accumulator, to zero */ + sum = 0; + + /* Initiate data pointers */ + pInA = pSrcA->pData + i; + pInB = pSrcB->pData + j; + +#if defined (ARM_MATH_DSP) + sum2 = 0; + sum3 = 0; + sum4 = 0; + pInA2 = pInA + numColsA; + colCnt = numColsA; +#else + colCnt = numColsA >> 2; +#endif + + /* matrix multiplication */ + while (colCnt > 0U) + { + +#if defined (ARM_MATH_DSP) + inA1 = *pInA++; + inB1 = pInB[0]; + inA2 = *pInA2++; + inB2 = pInB[1]; + pInB += numColsB; + + sum = __SMMLA(inA1, inB1, sum); + sum2 = __SMMLA(inA1, inB2, sum2); + sum3 = __SMMLA(inA2, inB1, sum3); + sum4 = __SMMLA(inA2, inB2, sum4); +#else + /* c(m,n) = a(1,1)*b(1,1) + a(1,2) * b(2,1) + .... + a(m,p)*b(p,n) */ + /* Perform the multiply-accumulates */ + inB1 = *pInB; + pInB += numColsB; + inA1 = pInA[0]; + sum = __SMMLA(inA1, inB1, sum); + + inB1 = *pInB; + pInB += numColsB; + inA1 = pInA[1]; + sum = __SMMLA(inA1, inB1, sum); + + inB1 = *pInB; + pInB += numColsB; + inA1 = pInA[2]; + sum = __SMMLA(inA1, inB1, sum); + + inB1 = *pInB; + pInB += numColsB; + inA1 = pInA[3]; + sum = __SMMLA(inA1, inB1, sum); + + pInA += 4U; +#endif + + /* Decrement the loop counter */ + colCnt--; + } + +#ifdef ARM_MATH_CM0_FAMILY + /* If the columns of pSrcA is not a multiple of 4, compute any remaining output samples here. */ + colCnt = numColsA % 0x4U; + while (colCnt > 0U) + { + sum = __SMMLA(*pInA++, *pInB, sum); + pInB += numColsB; + colCnt--; + } + j++; +#endif + + /* Convert the result from 2.30 to 1.31 format and store in destination buffer */ + *px++ = sum << 1; + +#if defined (ARM_MATH_DSP) + *px++ = sum2 << 1; + *px2++ = sum3 << 1; + *px2++ = sum4 << 1; + j += 2; +#endif + + /* Decrement the column loop counter */ + col--; + + } + + i = i + numColsA; + +#if defined (ARM_MATH_DSP) + i = i + numColsA; + px = px2 + (numColsB & 1U); + px2 = px + numColsB; +#endif + + /* Decrement the row loop counter */ + row--; + + } + + /* Compute any remaining odd row/column below */ + +#if defined (ARM_MATH_DSP) + + /* Compute remaining output column */ + if (numColsB & 1U) { + + /* Avoid redundant computation of last element */ + row = numRowsA & (~0x1); + + /* Point to remaining unfilled column in output matrix */ + px = pDst->pData+numColsB-1; + pInA = pSrcA->pData; + + /* row loop */ + while (row > 0) + { + + /* point to last column in matrix B */ + pInB = pSrcB->pData + numColsB-1; + + /* Set the variable sum, that acts as accumulator, to zero */ + sum = 0; + + /* Compute 4 columns at once */ + colCnt = numColsA >> 2; + + /* matrix multiplication */ + while (colCnt > 0U) + { + inA1 = *pInA++; + inA2 = *pInA++; + inB1 = *pInB; + pInB += numColsB; + inB2 = *pInB; + pInB += numColsB; + sum = __SMMLA(inA1, inB1, sum); + sum = __SMMLA(inA2, inB2, sum); + + inA1 = *pInA++; + inA2 = *pInA++; + inB1 = *pInB; + pInB += numColsB; + inB2 = *pInB; + pInB += numColsB; + sum = __SMMLA(inA1, inB1, sum); + sum = __SMMLA(inA2, inB2, sum); + + /* Decrement the loop counter */ + colCnt--; + } + + colCnt = numColsA & 3U; + while (colCnt > 0U) { + sum = __SMMLA(*pInA++, *pInB, sum); + pInB += numColsB; + colCnt--; + } + + /* Convert the result from 2.30 to 1.31 format and store in destination buffer */ + *px = sum << 1; + px += numColsB; + + /* Decrement the row loop counter */ + row--; + } + } + + /* Compute remaining output row */ + if (numRowsA & 1U) { + + /* point to last row in output matrix */ + px = pDst->pData+(numColsB)*(numRowsA-1); + + col = numColsB; + i = 0U; + + /* col loop */ + while (col > 0) + { + + /* point to last row in matrix A */ + pInA = pSrcA->pData + (numRowsA-1)*numColsA; + pInB = pSrcB->pData + i; + + /* Set the variable sum, that acts as accumulator, to zero */ + sum = 0; + + /* Compute 4 columns at once */ + colCnt = numColsA >> 2; + + /* matrix multiplication */ + while (colCnt > 0U) + { + inA1 = *pInA++; + inA2 = *pInA++; + inB1 = *pInB; + pInB += numColsB; + inB2 = *pInB; + pInB += numColsB; + sum = __SMMLA(inA1, inB1, sum); + sum = __SMMLA(inA2, inB2, sum); + + inA1 = *pInA++; + inA2 = *pInA++; + inB1 = *pInB; + pInB += numColsB; + inB2 = *pInB; + pInB += numColsB; + sum = __SMMLA(inA1, inB1, sum); + sum = __SMMLA(inA2, inB2, sum); + + /* Decrement the loop counter */ + colCnt--; + } + + colCnt = numColsA & 3U; + while (colCnt > 0U) { + sum = __SMMLA(*pInA++, *pInB, sum); + pInB += numColsB; + colCnt--; + } + + /* Saturate and store the result in the destination buffer */ + *px++ = sum << 1; + i++; + + /* Decrement the col loop counter */ + col--; + } + } + +#endif /* #if defined (ARM_MATH_DSP) */ + + /* set status as ARM_MATH_SUCCESS */ + status = ARM_MATH_SUCCESS; + } + + /* Return to application */ + return (status); +} + +/** + * @} end of MatrixMult group + */ diff --git a/fw/hid-dials/Drivers/CMSIS/DSP/Source/MatrixFunctions/arm_mat_mult_q15.c b/fw/hid-dials/Drivers/CMSIS/DSP/Source/MatrixFunctions/arm_mat_mult_q15.c new file mode 100644 index 0000000..abd55bd --- /dev/null +++ b/fw/hid-dials/Drivers/CMSIS/DSP/Source/MatrixFunctions/arm_mat_mult_q15.c @@ -0,0 +1,457 @@ +/* ---------------------------------------------------------------------- + * Project: CMSIS DSP Library + * Title: arm_mat_mult_q15.c + * Description: Q15 matrix multiplication + * + * $Date: 27. January 2017 + * $Revision: V.1.5.1 + * + * Target Processor: Cortex-M cores + * -------------------------------------------------------------------- */ +/* + * Copyright (C) 2010-2017 ARM Limited or its affiliates. All rights reserved. + * + * SPDX-License-Identifier: Apache-2.0 + * + * Licensed under the Apache License, Version 2.0 (the License); you may + * not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an AS IS BASIS, WITHOUT + * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ + +#include "arm_math.h" + +/** + * @ingroup groupMatrix + */ + +/** + * @addtogroup MatrixMult + * @{ + */ + + +/** + * @brief Q15 matrix multiplication + * @param[in] *pSrcA points to the first input matrix structure + * @param[in] *pSrcB points to the second input matrix structure + * @param[out] *pDst points to output matrix structure + * @param[in] *pState points to the array for storing intermediate results (Unused) + * @return The function returns either + * ARM_MATH_SIZE_MISMATCH or ARM_MATH_SUCCESS based on the outcome of size checking. + * + * @details + * Scaling and Overflow Behavior: + * + * \par + * The function is implemented using a 64-bit internal accumulator. The inputs to the + * multiplications are in 1.15 format and multiplications yield a 2.30 result. + * The 2.30 intermediate + * results are accumulated in a 64-bit accumulator in 34.30 format. This approach + * provides 33 guard bits and there is no risk of overflow. The 34.30 result is then + * truncated to 34.15 format by discarding the low 15 bits and then saturated to + * 1.15 format. + * + * \par + * Refer to arm_mat_mult_fast_q15() for a faster but less precise version of this function for Cortex-M3 and Cortex-M4. + * + */ + +arm_status arm_mat_mult_q15( + const arm_matrix_instance_q15 * pSrcA, + const arm_matrix_instance_q15 * pSrcB, + arm_matrix_instance_q15 * pDst, + q15_t * pState) +{ + q63_t sum; /* accumulator */ + +#if defined (ARM_MATH_DSP) + + /* Run the below code for Cortex-M4 and Cortex-M3 */ + + q15_t *pSrcBT = pState; /* input data matrix pointer for transpose */ + q15_t *pInA = pSrcA->pData; /* input data matrix pointer A of Q15 type */ + q15_t *pInB = pSrcB->pData; /* input data matrix pointer B of Q15 type */ + q15_t *px; /* Temporary output data matrix pointer */ + uint16_t numRowsA = pSrcA->numRows; /* number of rows of input matrix A */ + uint16_t numColsB = pSrcB->numCols; /* number of columns of input matrix B */ + uint16_t numColsA = pSrcA->numCols; /* number of columns of input matrix A */ + uint16_t numRowsB = pSrcB->numRows; /* number of rows of input matrix A */ + uint16_t col, i = 0U, row = numRowsB, colCnt; /* loop counters */ + arm_status status; /* status of matrix multiplication */ + +#ifndef UNALIGNED_SUPPORT_DISABLE + + q31_t in; /* Temporary variable to hold the input value */ + q31_t pSourceA1, pSourceB1, pSourceA2, pSourceB2; + +#else + + q15_t in; /* Temporary variable to hold the input value */ + q15_t inA1, inB1, inA2, inB2; + +#endif /* #ifndef UNALIGNED_SUPPORT_DISABLE */ + +#ifdef ARM_MATH_MATRIX_CHECK + /* Check for matrix mismatch condition */ + if ((pSrcA->numCols != pSrcB->numRows) || + (pSrcA->numRows != pDst->numRows) || (pSrcB->numCols != pDst->numCols)) + { + /* Set status as ARM_MATH_SIZE_MISMATCH */ + status = ARM_MATH_SIZE_MISMATCH; + } + else +#endif /* #ifdef ARM_MATH_MATRIX_CHECK */ + { + /* Matrix transpose */ + do + { + /* Apply loop unrolling and exchange the columns with row elements */ + col = numColsB >> 2; + + /* The pointer px is set to starting address of the column being processed */ + px = pSrcBT + i; + + /* First part of the processing with loop unrolling. Compute 4 outputs at a time. + ** a second loop below computes the remaining 1 to 3 samples. */ + while (col > 0U) + { +#ifndef UNALIGNED_SUPPORT_DISABLE + + /* Read two elements from the row */ + in = *__SIMD32(pInB)++; + + /* Unpack and store one element in the destination */ +#ifndef ARM_MATH_BIG_ENDIAN + + *px = (q15_t) in; + +#else + + *px = (q15_t) ((in & (q31_t) 0xffff0000) >> 16); + +#endif /* #ifndef ARM_MATH_BIG_ENDIAN */ + + /* Update the pointer px to point to the next row of the transposed matrix */ + px += numRowsB; + + /* Unpack and store the second element in the destination */ +#ifndef ARM_MATH_BIG_ENDIAN + + *px = (q15_t) ((in & (q31_t) 0xffff0000) >> 16); + +#else + + *px = (q15_t) in; + +#endif /* #ifndef ARM_MATH_BIG_ENDIAN */ + + /* Update the pointer px to point to the next row of the transposed matrix */ + px += numRowsB; + + /* Read two elements from the row */ + in = *__SIMD32(pInB)++; + + /* Unpack and store one element in the destination */ +#ifndef ARM_MATH_BIG_ENDIAN + + *px = (q15_t) in; + +#else + + *px = (q15_t) ((in & (q31_t) 0xffff0000) >> 16); + +#endif /* #ifndef ARM_MATH_BIG_ENDIAN */ + + /* Update the pointer px to point to the next row of the transposed matrix */ + px += numRowsB; + + /* Unpack and store the second element in the destination */ + +#ifndef ARM_MATH_BIG_ENDIAN + + *px = (q15_t) ((in & (q31_t) 0xffff0000) >> 16); + +#else + + *px = (q15_t) in; + +#endif /* #ifndef ARM_MATH_BIG_ENDIAN */ + + /* Update the pointer px to point to the next row of the transposed matrix */ + px += numRowsB; + +#else + + /* Read one element from the row */ + in = *pInB++; + + /* Store one element in the destination */ + *px = in; + + /* Update the pointer px to point to the next row of the transposed matrix */ + px += numRowsB; + + /* Read one element from the row */ + in = *pInB++; + + /* Store one element in the destination */ + *px = in; + + /* Update the pointer px to point to the next row of the transposed matrix */ + px += numRowsB; + + /* Read one element from the row */ + in = *pInB++; + + /* Store one element in the destination */ + *px = in; + + /* Update the pointer px to point to the next row of the transposed matrix */ + px += numRowsB; + + /* Read one element from the row */ + in = *pInB++; + + /* Store one element in the destination */ + *px = in; + + /* Update the pointer px to point to the next row of the transposed matrix */ + px += numRowsB; + +#endif /* #ifndef UNALIGNED_SUPPORT_DISABLE */ + + /* Decrement the column loop counter */ + col--; + } + + /* If the columns of pSrcB is not a multiple of 4, compute any remaining output samples here. + ** No loop unrolling is used. */ + col = numColsB % 0x4U; + + while (col > 0U) + { + /* Read and store the input element in the destination */ + *px = *pInB++; + + /* Update the pointer px to point to the next row of the transposed matrix */ + px += numRowsB; + + /* Decrement the column loop counter */ + col--; + } + + i++; + + /* Decrement the row loop counter */ + row--; + + } while (row > 0U); + + /* Reset the variables for the usage in the following multiplication process */ + row = numRowsA; + i = 0U; + px = pDst->pData; + + /* The following loop performs the dot-product of each row in pSrcA with each column in pSrcB */ + /* row loop */ + do + { + /* For every row wise process, the column loop counter is to be initiated */ + col = numColsB; + + /* For every row wise process, the pIn2 pointer is set + ** to the starting address of the transposed pSrcB data */ + pInB = pSrcBT; + + /* column loop */ + do + { + /* Set the variable sum, that acts as accumulator, to zero */ + sum = 0; + + /* Apply loop unrolling and compute 2 MACs simultaneously. */ + colCnt = numColsA >> 2; + + /* Initiate the pointer pIn1 to point to the starting address of the column being processed */ + pInA = pSrcA->pData + i; + + + /* matrix multiplication */ + while (colCnt > 0U) + { + /* c(m,n) = a(1,1)*b(1,1) + a(1,2) * b(2,1) + .... + a(m,p)*b(p,n) */ +#ifndef UNALIGNED_SUPPORT_DISABLE + + /* read real and imag values from pSrcA and pSrcB buffer */ + pSourceA1 = *__SIMD32(pInA)++; + pSourceB1 = *__SIMD32(pInB)++; + + pSourceA2 = *__SIMD32(pInA)++; + pSourceB2 = *__SIMD32(pInB)++; + + /* Multiply and Accumlates */ + sum = __SMLALD(pSourceA1, pSourceB1, sum); + sum = __SMLALD(pSourceA2, pSourceB2, sum); + +#else + /* read real and imag values from pSrcA and pSrcB buffer */ + inA1 = *pInA++; + inB1 = *pInB++; + inA2 = *pInA++; + /* Multiply and Accumlates */ + sum += inA1 * inB1; + inB2 = *pInB++; + + inA1 = *pInA++; + inB1 = *pInB++; + /* Multiply and Accumlates */ + sum += inA2 * inB2; + inA2 = *pInA++; + inB2 = *pInB++; + + /* Multiply and Accumlates */ + sum += inA1 * inB1; + sum += inA2 * inB2; + +#endif /* #ifndef UNALIGNED_SUPPORT_DISABLE */ + + /* Decrement the loop counter */ + colCnt--; + } + + /* process remaining column samples */ + colCnt = numColsA & 3U; + + while (colCnt > 0U) + { + /* c(m,n) = a(1,1)*b(1,1) + a(1,2) * b(2,1) + .... + a(m,p)*b(p,n) */ + sum += *pInA++ * *pInB++; + + /* Decrement the loop counter */ + colCnt--; + } + + /* Saturate and store the result in the destination buffer */ + *px = (q15_t) (__SSAT((sum >> 15), 16)); + px++; + + /* Decrement the column loop counter */ + col--; + + } while (col > 0U); + + i = i + numColsA; + + /* Decrement the row loop counter */ + row--; + + } while (row > 0U); + +#else + + /* Run the below code for Cortex-M0 */ + + q15_t *pIn1 = pSrcA->pData; /* input data matrix pointer A */ + q15_t *pIn2 = pSrcB->pData; /* input data matrix pointer B */ + q15_t *pInA = pSrcA->pData; /* input data matrix pointer A of Q15 type */ + q15_t *pInB = pSrcB->pData; /* input data matrix pointer B of Q15 type */ + q15_t *pOut = pDst->pData; /* output data matrix pointer */ + q15_t *px; /* Temporary output data matrix pointer */ + uint16_t numColsB = pSrcB->numCols; /* number of columns of input matrix B */ + uint16_t numColsA = pSrcA->numCols; /* number of columns of input matrix A */ + uint16_t numRowsA = pSrcA->numRows; /* number of rows of input matrix A */ + uint16_t col, i = 0U, row = numRowsA, colCnt; /* loop counters */ + arm_status status; /* status of matrix multiplication */ + +#ifdef ARM_MATH_MATRIX_CHECK + + /* Check for matrix mismatch condition */ + if ((pSrcA->numCols != pSrcB->numRows) || + (pSrcA->numRows != pDst->numRows) || (pSrcB->numCols != pDst->numCols)) + { + /* Set status as ARM_MATH_SIZE_MISMATCH */ + status = ARM_MATH_SIZE_MISMATCH; + } + else +#endif /* #ifdef ARM_MATH_MATRIX_CHECK */ + + { + /* The following loop performs the dot-product of each row in pSrcA with each column in pSrcB */ + /* row loop */ + do + { + /* Output pointer is set to starting address of the row being processed */ + px = pOut + i; + + /* For every row wise process, the column loop counter is to be initiated */ + col = numColsB; + + /* For every row wise process, the pIn2 pointer is set + ** to the starting address of the pSrcB data */ + pIn2 = pSrcB->pData; + + /* column loop */ + do + { + /* Set the variable sum, that acts as accumulator, to zero */ + sum = 0; + + /* Initiate the pointer pIn1 to point to the starting address of pSrcA */ + pIn1 = pInA; + + /* Matrix A columns number of MAC operations are to be performed */ + colCnt = numColsA; + + /* matrix multiplication */ + while (colCnt > 0U) + { + /* c(m,n) = a(1,1)*b(1,1) + a(1,2) * b(2,1) + .... + a(m,p)*b(p,n) */ + /* Perform the multiply-accumulates */ + sum += (q31_t) * pIn1++ * *pIn2; + pIn2 += numColsB; + + /* Decrement the loop counter */ + colCnt--; + } + + /* Convert the result from 34.30 to 1.15 format and store the saturated value in destination buffer */ + /* Saturate and store the result in the destination buffer */ + *px++ = (q15_t) __SSAT((sum >> 15), 16); + + /* Decrement the column loop counter */ + col--; + + /* Update the pointer pIn2 to point to the starting address of the next column */ + pIn2 = pInB + (numColsB - col); + + } while (col > 0U); + + /* Update the pointer pSrcA to point to the starting address of the next row */ + i = i + numColsB; + pInA = pInA + numColsA; + + /* Decrement the row loop counter */ + row--; + + } while (row > 0U); + +#endif /* #if defined (ARM_MATH_DSP) */ + /* set status as ARM_MATH_SUCCESS */ + status = ARM_MATH_SUCCESS; + } + + /* Return to application */ + return (status); +} + +/** + * @} end of MatrixMult group + */ diff --git a/fw/hid-dials/Drivers/CMSIS/DSP/Source/MatrixFunctions/arm_mat_mult_q31.c b/fw/hid-dials/Drivers/CMSIS/DSP/Source/MatrixFunctions/arm_mat_mult_q31.c new file mode 100644 index 0000000..2ce3637 --- /dev/null +++ b/fw/hid-dials/Drivers/CMSIS/DSP/Source/MatrixFunctions/arm_mat_mult_q31.c @@ -0,0 +1,282 @@ +/* ---------------------------------------------------------------------- + * Project: CMSIS DSP Library + * Title: arm_mat_mult_q31.c + * Description: Q31 matrix multiplication + * + * $Date: 27. January 2017 + * $Revision: V.1.5.1 + * + * Target Processor: Cortex-M cores + * -------------------------------------------------------------------- */ +/* + * Copyright (C) 2010-2017 ARM Limited or its affiliates. All rights reserved. + * + * SPDX-License-Identifier: Apache-2.0 + * + * Licensed under the Apache License, Version 2.0 (the License); you may + * not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an AS IS BASIS, WITHOUT + * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ + +#include "arm_math.h" + +/** + * @ingroup groupMatrix + */ + +/** + * @addtogroup MatrixMult + * @{ + */ + +/** + * @brief Q31 matrix multiplication + * @param[in] *pSrcA points to the first input matrix structure + * @param[in] *pSrcB points to the second input matrix structure + * @param[out] *pDst points to output matrix structure + * @return The function returns either + * ARM_MATH_SIZE_MISMATCH or ARM_MATH_SUCCESS based on the outcome of size checking. + * + * @details + * Scaling and Overflow Behavior: + * + * \par + * The function is implemented using an internal 64-bit accumulator. + * The accumulator has a 2.62 format and maintains full precision of the intermediate + * multiplication results but provides only a single guard bit. There is no saturation + * on intermediate additions. Thus, if the accumulator overflows it wraps around and + * distorts the result. The input signals should be scaled down to avoid intermediate + * overflows. The input is thus scaled down by log2(numColsA) bits + * to avoid overflows, as a total of numColsA additions are performed internally. + * The 2.62 accumulator is right shifted by 31 bits and saturated to 1.31 format to yield the final result. + * + * \par + * See arm_mat_mult_fast_q31() for a faster but less precise implementation of this function for Cortex-M3 and Cortex-M4. + * + */ + +arm_status arm_mat_mult_q31( + const arm_matrix_instance_q31 * pSrcA, + const arm_matrix_instance_q31 * pSrcB, + arm_matrix_instance_q31 * pDst) +{ + q31_t *pIn1 = pSrcA->pData; /* input data matrix pointer A */ + q31_t *pIn2 = pSrcB->pData; /* input data matrix pointer B */ + q31_t *pInA = pSrcA->pData; /* input data matrix pointer A */ + q31_t *pOut = pDst->pData; /* output data matrix pointer */ + q31_t *px; /* Temporary output data matrix pointer */ + q63_t sum; /* Accumulator */ + uint16_t numRowsA = pSrcA->numRows; /* number of rows of input matrix A */ + uint16_t numColsB = pSrcB->numCols; /* number of columns of input matrix B */ + uint16_t numColsA = pSrcA->numCols; /* number of columns of input matrix A */ + +#if defined (ARM_MATH_DSP) + + /* Run the below code for Cortex-M4 and Cortex-M3 */ + + uint16_t col, i = 0U, j, row = numRowsA, colCnt; /* loop counters */ + arm_status status; /* status of matrix multiplication */ + q31_t a0, a1, a2, a3, b0, b1, b2, b3; + +#ifdef ARM_MATH_MATRIX_CHECK + + + /* Check for matrix mismatch condition */ + if ((pSrcA->numCols != pSrcB->numRows) || + (pSrcA->numRows != pDst->numRows) || (pSrcB->numCols != pDst->numCols)) + { + /* Set status as ARM_MATH_SIZE_MISMATCH */ + status = ARM_MATH_SIZE_MISMATCH; + } + else +#endif /* #ifdef ARM_MATH_MATRIX_CHECK */ + + { + /* The following loop performs the dot-product of each row in pSrcA with each column in pSrcB */ + /* row loop */ + do + { + /* Output pointer is set to starting address of the row being processed */ + px = pOut + i; + + /* For every row wise process, the column loop counter is to be initiated */ + col = numColsB; + + /* For every row wise process, the pIn2 pointer is set + ** to the starting address of the pSrcB data */ + pIn2 = pSrcB->pData; + + j = 0U; + + /* column loop */ + do + { + /* Set the variable sum, that acts as accumulator, to zero */ + sum = 0; + + /* Initiate the pointer pIn1 to point to the starting address of pInA */ + pIn1 = pInA; + + /* Apply loop unrolling and compute 4 MACs simultaneously. */ + colCnt = numColsA >> 2; + + + /* matrix multiplication */ + while (colCnt > 0U) + { + /* c(m,n) = a(1,1)*b(1,1) + a(1,2) * b(2,1) + .... + a(m,p)*b(p,n) */ + /* Perform the multiply-accumulates */ + b0 = *pIn2; + pIn2 += numColsB; + + a0 = *pIn1++; + a1 = *pIn1++; + + b1 = *pIn2; + pIn2 += numColsB; + b2 = *pIn2; + pIn2 += numColsB; + + sum += (q63_t) a0 *b0; + sum += (q63_t) a1 *b1; + + a2 = *pIn1++; + a3 = *pIn1++; + + b3 = *pIn2; + pIn2 += numColsB; + + sum += (q63_t) a2 *b2; + sum += (q63_t) a3 *b3; + + /* Decrement the loop counter */ + colCnt--; + } + + /* If the columns of pSrcA is not a multiple of 4, compute any remaining output samples here. + ** No loop unrolling is used. */ + colCnt = numColsA % 0x4U; + + while (colCnt > 0U) + { + /* c(m,n) = a(1,1)*b(1,1) + a(1,2) * b(2,1) + .... + a(m,p)*b(p,n) */ + /* Perform the multiply-accumulates */ + sum += (q63_t) * pIn1++ * *pIn2; + pIn2 += numColsB; + + /* Decrement the loop counter */ + colCnt--; + } + + /* Convert the result from 2.62 to 1.31 format and store in destination buffer */ + *px++ = (q31_t) (sum >> 31); + + /* Update the pointer pIn2 to point to the starting address of the next column */ + j++; + pIn2 = (pSrcB->pData) + j; + + /* Decrement the column loop counter */ + col--; + + } while (col > 0U); + +#else + + /* Run the below code for Cortex-M0 */ + + q31_t *pInB = pSrcB->pData; /* input data matrix pointer B */ + uint16_t col, i = 0U, row = numRowsA, colCnt; /* loop counters */ + arm_status status; /* status of matrix multiplication */ + + +#ifdef ARM_MATH_MATRIX_CHECK + + /* Check for matrix mismatch condition */ + if ((pSrcA->numCols != pSrcB->numRows) || + (pSrcA->numRows != pDst->numRows) || (pSrcB->numCols != pDst->numCols)) + { + /* Set status as ARM_MATH_SIZE_MISMATCH */ + status = ARM_MATH_SIZE_MISMATCH; + } + else +#endif /* #ifdef ARM_MATH_MATRIX_CHECK */ + + { + /* The following loop performs the dot-product of each row in pSrcA with each column in pSrcB */ + /* row loop */ + do + { + /* Output pointer is set to starting address of the row being processed */ + px = pOut + i; + + /* For every row wise process, the column loop counter is to be initiated */ + col = numColsB; + + /* For every row wise process, the pIn2 pointer is set + ** to the starting address of the pSrcB data */ + pIn2 = pSrcB->pData; + + /* column loop */ + do + { + /* Set the variable sum, that acts as accumulator, to zero */ + sum = 0; + + /* Initiate the pointer pIn1 to point to the starting address of pInA */ + pIn1 = pInA; + + /* Matrix A columns number of MAC operations are to be performed */ + colCnt = numColsA; + + /* matrix multiplication */ + while (colCnt > 0U) + { + /* c(m,n) = a(1,1)*b(1,1) + a(1,2) * b(2,1) + .... + a(m,p)*b(p,n) */ + /* Perform the multiply-accumulates */ + sum += (q63_t) * pIn1++ * *pIn2; + pIn2 += numColsB; + + /* Decrement the loop counter */ + colCnt--; + } + + /* Convert the result from 2.62 to 1.31 format and store in destination buffer */ + *px++ = (q31_t) clip_q63_to_q31(sum >> 31); + + /* Decrement the column loop counter */ + col--; + + /* Update the pointer pIn2 to point to the starting address of the next column */ + pIn2 = pInB + (numColsB - col); + + } while (col > 0U); + +#endif + + /* Update the pointer pInA to point to the starting address of the next row */ + i = i + numColsB; + pInA = pInA + numColsA; + + /* Decrement the row loop counter */ + row--; + + } while (row > 0U); + + /* set status as ARM_MATH_SUCCESS */ + status = ARM_MATH_SUCCESS; + } + /* Return to application */ + return (status); +} + +/** + * @} end of MatrixMult group + */ diff --git a/fw/hid-dials/Drivers/CMSIS/DSP/Source/MatrixFunctions/arm_mat_scale_f32.c b/fw/hid-dials/Drivers/CMSIS/DSP/Source/MatrixFunctions/arm_mat_scale_f32.c new file mode 100644 index 0000000..3e4f5f7 --- /dev/null +++ b/fw/hid-dials/Drivers/CMSIS/DSP/Source/MatrixFunctions/arm_mat_scale_f32.c @@ -0,0 +1,169 @@ +/* ---------------------------------------------------------------------- + * Project: CMSIS DSP Library + * Title: arm_mat_scale_f32.c + * Description: Multiplies a floating-point matrix by a scalar + * + * $Date: 27. January 2017 + * $Revision: V.1.5.1 + * + * Target Processor: Cortex-M cores + * -------------------------------------------------------------------- */ +/* + * Copyright (C) 2010-2017 ARM Limited or its affiliates. All rights reserved. + * + * SPDX-License-Identifier: Apache-2.0 + * + * Licensed under the Apache License, Version 2.0 (the License); you may + * not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an AS IS BASIS, WITHOUT + * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ + +#include "arm_math.h" + +/** + * @ingroup groupMatrix + */ + +/** + * @defgroup MatrixScale Matrix Scale + * + * Multiplies a matrix by a scalar. This is accomplished by multiplying each element in the + * matrix by the scalar. For example: + * \image html MatrixScale.gif "Matrix Scaling of a 3 x 3 matrix" + * + * The function checks to make sure that the input and output matrices are of the same size. + * + * In the fixed-point Q15 and Q31 functions, scale is represented by + * a fractional multiplication scaleFract and an arithmetic shift shift. + * The shift allows the gain of the scaling operation to exceed 1.0. + * The overall scale factor applied to the fixed-point data is + *
+ *     scale = scaleFract * 2^shift.
+ * 
+ */ + +/** + * @addtogroup MatrixScale + * @{ + */ + +/** + * @brief Floating-point matrix scaling. + * @param[in] *pSrc points to input matrix structure + * @param[in] scale scale factor to be applied + * @param[out] *pDst points to output matrix structure + * @return The function returns either ARM_MATH_SIZE_MISMATCH + * or ARM_MATH_SUCCESS based on the outcome of size checking. + * + */ + +arm_status arm_mat_scale_f32( + const arm_matrix_instance_f32 * pSrc, + float32_t scale, + arm_matrix_instance_f32 * pDst) +{ + float32_t *pIn = pSrc->pData; /* input data matrix pointer */ + float32_t *pOut = pDst->pData; /* output data matrix pointer */ + uint32_t numSamples; /* total number of elements in the matrix */ + uint32_t blkCnt; /* loop counters */ + arm_status status; /* status of matrix scaling */ + +#if defined (ARM_MATH_DSP) + + float32_t in1, in2, in3, in4; /* temporary variables */ + float32_t out1, out2, out3, out4; /* temporary variables */ + +#endif // #if defined (ARM_MATH_DSP) + +#ifdef ARM_MATH_MATRIX_CHECK + /* Check for matrix mismatch condition */ + if ((pSrc->numRows != pDst->numRows) || (pSrc->numCols != pDst->numCols)) + { + /* Set status as ARM_MATH_SIZE_MISMATCH */ + status = ARM_MATH_SIZE_MISMATCH; + } + else +#endif /* #ifdef ARM_MATH_MATRIX_CHECK */ + { + /* Total number of samples in the input matrix */ + numSamples = (uint32_t) pSrc->numRows * pSrc->numCols; + +#if defined (ARM_MATH_DSP) + + /* Run the below code for Cortex-M4 and Cortex-M3 */ + + /* Loop Unrolling */ + blkCnt = numSamples >> 2; + + /* First part of the processing with loop unrolling. Compute 4 outputs at a time. + ** a second loop below computes the remaining 1 to 3 samples. */ + while (blkCnt > 0U) + { + /* C(m,n) = A(m,n) * scale */ + /* Scaling and results are stored in the destination buffer. */ + in1 = pIn[0]; + in2 = pIn[1]; + in3 = pIn[2]; + in4 = pIn[3]; + + out1 = in1 * scale; + out2 = in2 * scale; + out3 = in3 * scale; + out4 = in4 * scale; + + + pOut[0] = out1; + pOut[1] = out2; + pOut[2] = out3; + pOut[3] = out4; + + /* update pointers to process next sampels */ + pIn += 4U; + pOut += 4U; + + /* Decrement the numSamples loop counter */ + blkCnt--; + } + + /* If the numSamples is not a multiple of 4, compute any remaining output samples here. + ** No loop unrolling is used. */ + blkCnt = numSamples % 0x4U; + +#else + + /* Run the below code for Cortex-M0 */ + + /* Initialize blkCnt with number of samples */ + blkCnt = numSamples; + +#endif /* #if defined (ARM_MATH_DSP) */ + + while (blkCnt > 0U) + { + /* C(m,n) = A(m,n) * scale */ + /* The results are stored in the destination buffer. */ + *pOut++ = (*pIn++) * scale; + + /* Decrement the loop counter */ + blkCnt--; + } + + /* Set status as ARM_MATH_SUCCESS */ + status = ARM_MATH_SUCCESS; + } + + /* Return to application */ + return (status); +} + +/** + * @} end of MatrixScale group + */ diff --git a/fw/hid-dials/Drivers/CMSIS/DSP/Source/MatrixFunctions/arm_mat_scale_q15.c b/fw/hid-dials/Drivers/CMSIS/DSP/Source/MatrixFunctions/arm_mat_scale_q15.c new file mode 100644 index 0000000..4eff925 --- /dev/null +++ b/fw/hid-dials/Drivers/CMSIS/DSP/Source/MatrixFunctions/arm_mat_scale_q15.c @@ -0,0 +1,171 @@ +/* ---------------------------------------------------------------------- + * Project: CMSIS DSP Library + * Title: arm_mat_scale_q15.c + * Description: Multiplies a Q15 matrix by a scalar + * + * $Date: 27. January 2017 + * $Revision: V.1.5.1 + * + * Target Processor: Cortex-M cores + * -------------------------------------------------------------------- */ +/* + * Copyright (C) 2010-2017 ARM Limited or its affiliates. All rights reserved. + * + * SPDX-License-Identifier: Apache-2.0 + * + * Licensed under the Apache License, Version 2.0 (the License); you may + * not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an AS IS BASIS, WITHOUT + * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ + +#include "arm_math.h" + +/** + * @ingroup groupMatrix + */ + +/** + * @addtogroup MatrixScale + * @{ + */ + +/** + * @brief Q15 matrix scaling. + * @param[in] *pSrc points to input matrix + * @param[in] scaleFract fractional portion of the scale factor + * @param[in] shift number of bits to shift the result by + * @param[out] *pDst points to output matrix structure + * @return The function returns either + * ARM_MATH_SIZE_MISMATCH or ARM_MATH_SUCCESS based on the outcome of size checking. + * + * @details + * Scaling and Overflow Behavior: + * \par + * The input data *pSrc and scaleFract are in 1.15 format. + * These are multiplied to yield a 2.30 intermediate result and this is shifted with saturation to 1.15 format. + */ + +arm_status arm_mat_scale_q15( + const arm_matrix_instance_q15 * pSrc, + q15_t scaleFract, + int32_t shift, + arm_matrix_instance_q15 * pDst) +{ + q15_t *pIn = pSrc->pData; /* input data matrix pointer */ + q15_t *pOut = pDst->pData; /* output data matrix pointer */ + uint32_t numSamples; /* total number of elements in the matrix */ + int32_t totShift = 15 - shift; /* total shift to apply after scaling */ + uint32_t blkCnt; /* loop counters */ + arm_status status; /* status of matrix scaling */ + +#if defined (ARM_MATH_DSP) + + q15_t in1, in2, in3, in4; + q31_t out1, out2, out3, out4; + q31_t inA1, inA2; + +#endif // #if defined (ARM_MATH_DSP) + +#ifdef ARM_MATH_MATRIX_CHECK + /* Check for matrix mismatch */ + if ((pSrc->numRows != pDst->numRows) || (pSrc->numCols != pDst->numCols)) + { + /* Set status as ARM_MATH_SIZE_MISMATCH */ + status = ARM_MATH_SIZE_MISMATCH; + } + else +#endif // #ifdef ARM_MATH_MATRIX_CHECK + { + /* Total number of samples in the input matrix */ + numSamples = (uint32_t) pSrc->numRows * pSrc->numCols; + +#if defined (ARM_MATH_DSP) + + /* Run the below code for Cortex-M4 and Cortex-M3 */ + /* Loop Unrolling */ + blkCnt = numSamples >> 2; + + /* First part of the processing with loop unrolling. Compute 4 outputs at a time. + ** a second loop below computes the remaining 1 to 3 samples. */ + while (blkCnt > 0U) + { + /* C(m,n) = A(m,n) * k */ + /* Scale, saturate and then store the results in the destination buffer. */ + /* Reading 2 inputs from memory */ + inA1 = _SIMD32_OFFSET(pIn); + inA2 = _SIMD32_OFFSET(pIn + 2); + + /* C = A * scale */ + /* Scale the inputs and then store the 2 results in the destination buffer + * in single cycle by packing the outputs */ + out1 = (q31_t) ((q15_t) (inA1 >> 16) * scaleFract); + out2 = (q31_t) ((q15_t) inA1 * scaleFract); + out3 = (q31_t) ((q15_t) (inA2 >> 16) * scaleFract); + out4 = (q31_t) ((q15_t) inA2 * scaleFract); + + out1 = out1 >> totShift; + inA1 = _SIMD32_OFFSET(pIn + 4); + out2 = out2 >> totShift; + inA2 = _SIMD32_OFFSET(pIn + 6); + out3 = out3 >> totShift; + out4 = out4 >> totShift; + + in1 = (q15_t) (__SSAT(out1, 16)); + in2 = (q15_t) (__SSAT(out2, 16)); + in3 = (q15_t) (__SSAT(out3, 16)); + in4 = (q15_t) (__SSAT(out4, 16)); + + _SIMD32_OFFSET(pOut) = __PKHBT(in2, in1, 16); + _SIMD32_OFFSET(pOut + 2) = __PKHBT(in4, in3, 16); + + /* update pointers to process next sampels */ + pIn += 4U; + pOut += 4U; + + + /* Decrement the numSamples loop counter */ + blkCnt--; + } + + /* If the numSamples is not a multiple of 4, compute any remaining output samples here. + ** No loop unrolling is used. */ + blkCnt = numSamples % 0x4U; + +#else + + /* Run the below code for Cortex-M0 */ + + /* Initialize blkCnt with number of samples */ + blkCnt = numSamples; + +#endif /* #if defined (ARM_MATH_DSP) */ + + while (blkCnt > 0U) + { + /* C(m,n) = A(m,n) * k */ + /* Scale, saturate and then store the results in the destination buffer. */ + *pOut++ = + (q15_t) (__SSAT(((q31_t) (*pIn++) * scaleFract) >> totShift, 16)); + + /* Decrement the numSamples loop counter */ + blkCnt--; + } + /* Set status as ARM_MATH_SUCCESS */ + status = ARM_MATH_SUCCESS; + } + + /* Return to application */ + return (status); +} + +/** + * @} end of MatrixScale group + */ diff --git a/fw/hid-dials/Drivers/CMSIS/DSP/Source/MatrixFunctions/arm_mat_scale_q31.c b/fw/hid-dials/Drivers/CMSIS/DSP/Source/MatrixFunctions/arm_mat_scale_q31.c new file mode 100644 index 0000000..1b2b373 --- /dev/null +++ b/fw/hid-dials/Drivers/CMSIS/DSP/Source/MatrixFunctions/arm_mat_scale_q31.c @@ -0,0 +1,191 @@ +/* ---------------------------------------------------------------------- + * Project: CMSIS DSP Library + * Title: arm_mat_scale_q31.c + * Description: Multiplies a Q31 matrix by a scalar + * + * $Date: 27. January 2017 + * $Revision: V.1.5.1 + * + * Target Processor: Cortex-M cores + * -------------------------------------------------------------------- */ +/* + * Copyright (C) 2010-2017 ARM Limited or its affiliates. All rights reserved. + * + * SPDX-License-Identifier: Apache-2.0 + * + * Licensed under the Apache License, Version 2.0 (the License); you may + * not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an AS IS BASIS, WITHOUT + * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ + +#include "arm_math.h" + +/** + * @ingroup groupMatrix + */ + +/** + * @addtogroup MatrixScale + * @{ + */ + +/** + * @brief Q31 matrix scaling. + * @param[in] *pSrc points to input matrix + * @param[in] scaleFract fractional portion of the scale factor + * @param[in] shift number of bits to shift the result by + * @param[out] *pDst points to output matrix structure + * @return The function returns either + * ARM_MATH_SIZE_MISMATCH or ARM_MATH_SUCCESS based on the outcome of size checking. + * + * @details + * Scaling and Overflow Behavior: + * \par + * The input data *pSrc and scaleFract are in 1.31 format. + * These are multiplied to yield a 2.62 intermediate result and this is shifted with saturation to 1.31 format. + */ + +arm_status arm_mat_scale_q31( + const arm_matrix_instance_q31 * pSrc, + q31_t scaleFract, + int32_t shift, + arm_matrix_instance_q31 * pDst) +{ + q31_t *pIn = pSrc->pData; /* input data matrix pointer */ + q31_t *pOut = pDst->pData; /* output data matrix pointer */ + uint32_t numSamples; /* total number of elements in the matrix */ + int32_t totShift = shift + 1; /* shift to apply after scaling */ + uint32_t blkCnt; /* loop counters */ + arm_status status; /* status of matrix scaling */ + q31_t in1, in2, out1; /* temporary variabels */ + +#if defined (ARM_MATH_DSP) + + q31_t in3, in4, out2, out3, out4; /* temporary variables */ + +#endif // #ifndef ARM_MAT_CM0 + +#ifdef ARM_MATH_MATRIX_CHECK + /* Check for matrix mismatch */ + if ((pSrc->numRows != pDst->numRows) || (pSrc->numCols != pDst->numCols)) + { + /* Set status as ARM_MATH_SIZE_MISMATCH */ + status = ARM_MATH_SIZE_MISMATCH; + } + else +#endif // #ifdef ARM_MATH_MATRIX_CHECK + { + /* Total number of samples in the input matrix */ + numSamples = (uint32_t) pSrc->numRows * pSrc->numCols; + +#if defined (ARM_MATH_DSP) + + /* Run the below code for Cortex-M4 and Cortex-M3 */ + + /* Loop Unrolling */ + blkCnt = numSamples >> 2U; + + /* First part of the processing with loop unrolling. Compute 4 outputs at a time. + ** a second loop below computes the remaining 1 to 3 samples. */ + while (blkCnt > 0U) + { + /* C(m,n) = A(m,n) * k */ + /* Read values from input */ + in1 = *pIn; + in2 = *(pIn + 1); + in3 = *(pIn + 2); + in4 = *(pIn + 3); + + /* multiply input with scaler value */ + in1 = ((q63_t) in1 * scaleFract) >> 32; + in2 = ((q63_t) in2 * scaleFract) >> 32; + in3 = ((q63_t) in3 * scaleFract) >> 32; + in4 = ((q63_t) in4 * scaleFract) >> 32; + + /* apply shifting */ + out1 = in1 << totShift; + out2 = in2 << totShift; + + /* saturate the results. */ + if (in1 != (out1 >> totShift)) + out1 = 0x7FFFFFFF ^ (in1 >> 31); + + if (in2 != (out2 >> totShift)) + out2 = 0x7FFFFFFF ^ (in2 >> 31); + + out3 = in3 << totShift; + out4 = in4 << totShift; + + *pOut = out1; + *(pOut + 1) = out2; + + if (in3 != (out3 >> totShift)) + out3 = 0x7FFFFFFF ^ (in3 >> 31); + + if (in4 != (out4 >> totShift)) + out4 = 0x7FFFFFFF ^ (in4 >> 31); + + + *(pOut + 2) = out3; + *(pOut + 3) = out4; + + /* update pointers to process next sampels */ + pIn += 4U; + pOut += 4U; + + + /* Decrement the numSamples loop counter */ + blkCnt--; + } + + /* If the numSamples is not a multiple of 4, compute any remaining output samples here. + ** No loop unrolling is used. */ + blkCnt = numSamples % 0x4U; + +#else + + /* Run the below code for Cortex-M0 */ + + /* Initialize blkCnt with number of samples */ + blkCnt = numSamples; + +#endif /* #if defined (ARM_MATH_DSP) */ + + while (blkCnt > 0U) + { + /* C(m,n) = A(m,n) * k */ + /* Scale, saturate and then store the results in the destination buffer. */ + in1 = *pIn++; + + in2 = ((q63_t) in1 * scaleFract) >> 32; + + out1 = in2 << totShift; + + if (in2 != (out1 >> totShift)) + out1 = 0x7FFFFFFF ^ (in2 >> 31); + + *pOut++ = out1; + + /* Decrement the numSamples loop counter */ + blkCnt--; + } + + /* Set status as ARM_MATH_SUCCESS */ + status = ARM_MATH_SUCCESS; + } + + /* Return to application */ + return (status); +} + +/** + * @} end of MatrixScale group + */ diff --git a/fw/hid-dials/Drivers/CMSIS/DSP/Source/MatrixFunctions/arm_mat_sub_f32.c b/fw/hid-dials/Drivers/CMSIS/DSP/Source/MatrixFunctions/arm_mat_sub_f32.c new file mode 100644 index 0000000..42eaadb --- /dev/null +++ b/fw/hid-dials/Drivers/CMSIS/DSP/Source/MatrixFunctions/arm_mat_sub_f32.c @@ -0,0 +1,197 @@ +/* ---------------------------------------------------------------------- + * Project: CMSIS DSP Library + * Title: arm_mat_sub_f32.c + * Description: Floating-point matrix subtraction + * + * $Date: 27. January 2017 + * $Revision: V.1.5.1 + * + * Target Processor: Cortex-M cores + * -------------------------------------------------------------------- */ +/* + * Copyright (C) 2010-2017 ARM Limited or its affiliates. All rights reserved. + * + * SPDX-License-Identifier: Apache-2.0 + * + * Licensed under the Apache License, Version 2.0 (the License); you may + * not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an AS IS BASIS, WITHOUT + * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ + +#include "arm_math.h" + +/** + * @ingroup groupMatrix + */ + +/** + * @defgroup MatrixSub Matrix Subtraction + * + * Subtract two matrices. + * \image html MatrixSubtraction.gif "Subraction of two 3 x 3 matrices" + * + * The functions check to make sure that + * pSrcA, pSrcB, and pDst have the same + * number of rows and columns. + */ + +/** + * @addtogroup MatrixSub + * @{ + */ + +/** + * @brief Floating-point matrix subtraction + * @param[in] *pSrcA points to the first input matrix structure + * @param[in] *pSrcB points to the second input matrix structure + * @param[out] *pDst points to output matrix structure + * @return The function returns either + * ARM_MATH_SIZE_MISMATCH or ARM_MATH_SUCCESS based on the outcome of size checking. + */ + +arm_status arm_mat_sub_f32( + const arm_matrix_instance_f32 * pSrcA, + const arm_matrix_instance_f32 * pSrcB, + arm_matrix_instance_f32 * pDst) +{ + float32_t *pIn1 = pSrcA->pData; /* input data matrix pointer A */ + float32_t *pIn2 = pSrcB->pData; /* input data matrix pointer B */ + float32_t *pOut = pDst->pData; /* output data matrix pointer */ + +#if defined (ARM_MATH_DSP) + + float32_t inA1, inA2, inB1, inB2, out1, out2; /* temporary variables */ + +#endif // #if defined (ARM_MATH_DSP) + + uint32_t numSamples; /* total number of elements in the matrix */ + uint32_t blkCnt; /* loop counters */ + arm_status status; /* status of matrix subtraction */ + +#ifdef ARM_MATH_MATRIX_CHECK + /* Check for matrix mismatch condition */ + if ((pSrcA->numRows != pSrcB->numRows) || + (pSrcA->numCols != pSrcB->numCols) || + (pSrcA->numRows != pDst->numRows) || (pSrcA->numCols != pDst->numCols)) + { + /* Set status as ARM_MATH_SIZE_MISMATCH */ + status = ARM_MATH_SIZE_MISMATCH; + } + else +#endif /* #ifdef ARM_MATH_MATRIX_CHECK */ + { + /* Total number of samples in the input matrix */ + numSamples = (uint32_t) pSrcA->numRows * pSrcA->numCols; + +#if defined (ARM_MATH_DSP) + + /* Run the below code for Cortex-M4 and Cortex-M3 */ + + /* Loop Unrolling */ + blkCnt = numSamples >> 2U; + + /* First part of the processing with loop unrolling. Compute 4 outputs at a time. + ** a second loop below computes the remaining 1 to 3 samples. */ + while (blkCnt > 0U) + { + /* C(m,n) = A(m,n) - B(m,n) */ + /* Subtract and then store the results in the destination buffer. */ + /* Read values from source A */ + inA1 = pIn1[0]; + + /* Read values from source B */ + inB1 = pIn2[0]; + + /* Read values from source A */ + inA2 = pIn1[1]; + + /* out = sourceA - sourceB */ + out1 = inA1 - inB1; + + /* Read values from source B */ + inB2 = pIn2[1]; + + /* Read values from source A */ + inA1 = pIn1[2]; + + /* out = sourceA - sourceB */ + out2 = inA2 - inB2; + + /* Read values from source B */ + inB1 = pIn2[2]; + + /* Store result in destination */ + pOut[0] = out1; + pOut[1] = out2; + + /* Read values from source A */ + inA2 = pIn1[3]; + + /* Read values from source B */ + inB2 = pIn2[3]; + + /* out = sourceA - sourceB */ + out1 = inA1 - inB1; + + + /* out = sourceA - sourceB */ + out2 = inA2 - inB2; + + /* Store result in destination */ + pOut[2] = out1; + + /* Store result in destination */ + pOut[3] = out2; + + + /* update pointers to process next sampels */ + pIn1 += 4U; + pIn2 += 4U; + pOut += 4U; + + /* Decrement the loop counter */ + blkCnt--; + } + + /* If the numSamples is not a multiple of 4, compute any remaining output samples here. + ** No loop unrolling is used. */ + blkCnt = numSamples % 0x4U; + +#else + + /* Run the below code for Cortex-M0 */ + + /* Initialize blkCnt with number of samples */ + blkCnt = numSamples; + +#endif /* #if defined (ARM_MATH_DSP) */ + + while (blkCnt > 0U) + { + /* C(m,n) = A(m,n) - B(m,n) */ + /* Subtract and then store the results in the destination buffer. */ + *pOut++ = (*pIn1++) - (*pIn2++); + + /* Decrement the loop counter */ + blkCnt--; + } + + /* Set status as ARM_MATH_SUCCESS */ + status = ARM_MATH_SUCCESS; + } + + /* Return to application */ + return (status); +} + +/** + * @} end of MatrixSub group + */ diff --git a/fw/hid-dials/Drivers/CMSIS/DSP/Source/MatrixFunctions/arm_mat_sub_q15.c b/fw/hid-dials/Drivers/CMSIS/DSP/Source/MatrixFunctions/arm_mat_sub_q15.c new file mode 100644 index 0000000..07818dc --- /dev/null +++ b/fw/hid-dials/Drivers/CMSIS/DSP/Source/MatrixFunctions/arm_mat_sub_q15.c @@ -0,0 +1,148 @@ +/* ---------------------------------------------------------------------- + * Project: CMSIS DSP Library + * Title: arm_mat_sub_q15.c + * Description: Q15 Matrix subtraction + * + * $Date: 27. January 2017 + * $Revision: V.1.5.1 + * + * Target Processor: Cortex-M cores + * -------------------------------------------------------------------- */ +/* + * Copyright (C) 2010-2017 ARM Limited or its affiliates. All rights reserved. + * + * SPDX-License-Identifier: Apache-2.0 + * + * Licensed under the Apache License, Version 2.0 (the License); you may + * not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an AS IS BASIS, WITHOUT + * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ + +#include "arm_math.h" + +/** + * @ingroup groupMatrix + */ + +/** + * @addtogroup MatrixSub + * @{ + */ + +/** + * @brief Q15 matrix subtraction. + * @param[in] *pSrcA points to the first input matrix structure + * @param[in] *pSrcB points to the second input matrix structure + * @param[out] *pDst points to output matrix structure + * @return The function returns either + * ARM_MATH_SIZE_MISMATCH or ARM_MATH_SUCCESS based on the outcome of size checking. + * + * Scaling and Overflow Behavior: + * \par + * The function uses saturating arithmetic. + * Results outside of the allowable Q15 range [0x8000 0x7FFF] will be saturated. + */ + +arm_status arm_mat_sub_q15( + const arm_matrix_instance_q15 * pSrcA, + const arm_matrix_instance_q15 * pSrcB, + arm_matrix_instance_q15 * pDst) +{ + q15_t *pInA = pSrcA->pData; /* input data matrix pointer A */ + q15_t *pInB = pSrcB->pData; /* input data matrix pointer B */ + q15_t *pOut = pDst->pData; /* output data matrix pointer */ + uint32_t numSamples; /* total number of elements in the matrix */ + uint32_t blkCnt; /* loop counters */ + arm_status status; /* status of matrix subtraction */ + + +#ifdef ARM_MATH_MATRIX_CHECK + + + /* Check for matrix mismatch condition */ + if ((pSrcA->numRows != pSrcB->numRows) || + (pSrcA->numCols != pSrcB->numCols) || + (pSrcA->numRows != pDst->numRows) || (pSrcA->numCols != pDst->numCols)) + { + /* Set status as ARM_MATH_SIZE_MISMATCH */ + status = ARM_MATH_SIZE_MISMATCH; + } + else +#endif /* #ifdef ARM_MATH_MATRIX_CHECK */ + + { + /* Total number of samples in the input matrix */ + numSamples = (uint32_t) pSrcA->numRows * pSrcA->numCols; + +#if defined (ARM_MATH_DSP) + + /* Run the below code for Cortex-M4 and Cortex-M3 */ + + /* Apply loop unrolling */ + blkCnt = numSamples >> 2U; + + /* First part of the processing with loop unrolling. Compute 4 outputs at a time. + ** a second loop below computes the remaining 1 to 3 samples. */ + while (blkCnt > 0U) + { + /* C(m,n) = A(m,n) - B(m,n) */ + /* Subtract, Saturate and then store the results in the destination buffer. */ + *__SIMD32(pOut)++ = __QSUB16(*__SIMD32(pInA)++, *__SIMD32(pInB)++); + *__SIMD32(pOut)++ = __QSUB16(*__SIMD32(pInA)++, *__SIMD32(pInB)++); + + /* Decrement the loop counter */ + blkCnt--; + } + + /* If the blockSize is not a multiple of 4, compute any remaining output samples here. + ** No loop unrolling is used. */ + blkCnt = numSamples % 0x4U; + + while (blkCnt > 0U) + { + /* C(m,n) = A(m,n) - B(m,n) */ + /* Subtract and then store the results in the destination buffer. */ + *pOut++ = (q15_t) __QSUB16(*pInA++, *pInB++); + + /* Decrement the loop counter */ + blkCnt--; + } + +#else + + /* Run the below code for Cortex-M0 */ + + /* Initialize blkCnt with number of samples */ + blkCnt = numSamples; + + while (blkCnt > 0U) + { + /* C(m,n) = A(m,n) - B(m,n) */ + /* Subtract and then store the results in the destination buffer. */ + *pOut++ = (q15_t) __SSAT(((q31_t) * pInA++ - *pInB++), 16); + + /* Decrement the loop counter */ + blkCnt--; + } + +#endif /* #if defined (ARM_MATH_DSP) */ + + /* Set status as ARM_MATH_SUCCESS */ + status = ARM_MATH_SUCCESS; + } + + /* Return to application */ + return (status); +} + +/** + * @} end of MatrixSub group + */ diff --git a/fw/hid-dials/Drivers/CMSIS/DSP/Source/MatrixFunctions/arm_mat_sub_q31.c b/fw/hid-dials/Drivers/CMSIS/DSP/Source/MatrixFunctions/arm_mat_sub_q31.c new file mode 100644 index 0000000..ebfd09d --- /dev/null +++ b/fw/hid-dials/Drivers/CMSIS/DSP/Source/MatrixFunctions/arm_mat_sub_q31.c @@ -0,0 +1,196 @@ +/* ---------------------------------------------------------------------- + * Project: CMSIS DSP Library + * Title: arm_mat_sub_q31.c + * Description: Q31 matrix subtraction + * + * $Date: 27. January 2017 + * $Revision: V.1.5.1 + * + * Target Processor: Cortex-M cores + * -------------------------------------------------------------------- */ +/* + * Copyright (C) 2010-2017 ARM Limited or its affiliates. All rights reserved. + * + * SPDX-License-Identifier: Apache-2.0 + * + * Licensed under the Apache License, Version 2.0 (the License); you may + * not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an AS IS BASIS, WITHOUT + * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ + +#include "arm_math.h" + +/** + * @ingroup groupMatrix + */ + +/** + * @addtogroup MatrixSub + * @{ + */ + +/** + * @brief Q31 matrix subtraction. + * @param[in] *pSrcA points to the first input matrix structure + * @param[in] *pSrcB points to the second input matrix structure + * @param[out] *pDst points to output matrix structure + * @return The function returns either + * ARM_MATH_SIZE_MISMATCH or ARM_MATH_SUCCESS based on the outcome of size checking. + * + * Scaling and Overflow Behavior: + * \par + * The function uses saturating arithmetic. + * Results outside of the allowable Q31 range [0x80000000 0x7FFFFFFF] will be saturated. + */ + + +arm_status arm_mat_sub_q31( + const arm_matrix_instance_q31 * pSrcA, + const arm_matrix_instance_q31 * pSrcB, + arm_matrix_instance_q31 * pDst) +{ + q31_t *pIn1 = pSrcA->pData; /* input data matrix pointer A */ + q31_t *pIn2 = pSrcB->pData; /* input data matrix pointer B */ + q31_t *pOut = pDst->pData; /* output data matrix pointer */ + q31_t inA1, inB1; /* temporary variables */ + +#if defined (ARM_MATH_DSP) + + q31_t inA2, inB2; /* temporary variables */ + q31_t out1, out2; /* temporary variables */ + +#endif // #if defined (ARM_MATH_DSP) + + uint32_t numSamples; /* total number of elements in the matrix */ + uint32_t blkCnt; /* loop counters */ + arm_status status; /* status of matrix subtraction */ + + +#ifdef ARM_MATH_MATRIX_CHECK + /* Check for matrix mismatch condition */ + if ((pSrcA->numRows != pSrcB->numRows) || + (pSrcA->numCols != pSrcB->numCols) || + (pSrcA->numRows != pDst->numRows) || (pSrcA->numCols != pDst->numCols)) + { + /* Set status as ARM_MATH_SIZE_MISMATCH */ + status = ARM_MATH_SIZE_MISMATCH; + } + else +#endif + { + /* Total number of samples in the input matrix */ + numSamples = (uint32_t) pSrcA->numRows * pSrcA->numCols; + +#if defined (ARM_MATH_DSP) + + /* Run the below code for Cortex-M4 and Cortex-M3 */ + + /* Loop Unrolling */ + blkCnt = numSamples >> 2U; + + /* First part of the processing with loop unrolling. Compute 4 outputs at a time. + ** a second loop below computes the remaining 1 to 3 samples. */ + while (blkCnt > 0U) + { + /* C(m,n) = A(m,n) - B(m,n) */ + /* Subtract, saturate and then store the results in the destination buffer. */ + /* Read values from source A */ + inA1 = pIn1[0]; + + /* Read values from source B */ + inB1 = pIn2[0]; + + /* Read values from source A */ + inA2 = pIn1[1]; + + /* Subtract and saturate */ + out1 = __QSUB(inA1, inB1); + + /* Read values from source B */ + inB2 = pIn2[1]; + + /* Read values from source A */ + inA1 = pIn1[2]; + + /* Subtract and saturate */ + out2 = __QSUB(inA2, inB2); + + /* Read values from source B */ + inB1 = pIn2[2]; + + /* Store result in destination */ + pOut[0] = out1; + pOut[1] = out2; + + /* Read values from source A */ + inA2 = pIn1[3]; + + /* Read values from source B */ + inB2 = pIn2[3]; + + /* Subtract and saturate */ + out1 = __QSUB(inA1, inB1); + + /* Subtract and saturate */ + out2 = __QSUB(inA2, inB2); + + /* Store result in destination */ + pOut[2] = out1; + pOut[3] = out2; + + /* update pointers to process next samples */ + pIn1 += 4U; + pIn2 += 4U; + pOut += 4U; + + /* Decrement the loop counter */ + blkCnt--; + } + + /* If the numSamples is not a multiple of 4, compute any remaining output samples here. + ** No loop unrolling is used. */ + blkCnt = numSamples % 0x4U; + +#else + + /* Run the below code for Cortex-M0 */ + + /* Initialize blkCnt with number of samples */ + blkCnt = numSamples; + +#endif /* #if defined (ARM_MATH_DSP) */ + + while (blkCnt > 0U) + { + /* C(m,n) = A(m,n) - B(m,n) */ + /* Subtract, saturate and then store the results in the destination buffer. */ + inA1 = *pIn1++; + inB1 = *pIn2++; + + inA1 = __QSUB(inA1, inB1); + + *pOut++ = inA1; + + /* Decrement the loop counter */ + blkCnt--; + } + + /* Set status as ARM_MATH_SUCCESS */ + status = ARM_MATH_SUCCESS; + } + + /* Return to application */ + return (status); +} + +/** + * @} end of MatrixSub group + */ diff --git a/fw/hid-dials/Drivers/CMSIS/DSP/Source/MatrixFunctions/arm_mat_trans_f32.c b/fw/hid-dials/Drivers/CMSIS/DSP/Source/MatrixFunctions/arm_mat_trans_f32.c new file mode 100644 index 0000000..aaedb9d --- /dev/null +++ b/fw/hid-dials/Drivers/CMSIS/DSP/Source/MatrixFunctions/arm_mat_trans_f32.c @@ -0,0 +1,206 @@ +/* ---------------------------------------------------------------------- + * Project: CMSIS DSP Library + * Title: arm_mat_trans_f32.c + * Description: Floating-point matrix transpose + * + * $Date: 27. January 2017 + * $Revision: V.1.5.1 + * + * Target Processor: Cortex-M cores + * -------------------------------------------------------------------- */ +/* + * Copyright (C) 2010-2017 ARM Limited or its affiliates. All rights reserved. + * + * SPDX-License-Identifier: Apache-2.0 + * + * Licensed under the Apache License, Version 2.0 (the License); you may + * not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an AS IS BASIS, WITHOUT + * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ + +/** + * @defgroup MatrixTrans Matrix Transpose + * + * Tranposes a matrix. + * Transposing an M x N matrix flips it around the center diagonal and results in an N x M matrix. + * \image html MatrixTranspose.gif "Transpose of a 3 x 3 matrix" + */ + +#include "arm_math.h" + +/** + * @ingroup groupMatrix + */ + +/** + * @addtogroup MatrixTrans + * @{ + */ + +/** + * @brief Floating-point matrix transpose. + * @param[in] *pSrc points to the input matrix + * @param[out] *pDst points to the output matrix + * @return The function returns either ARM_MATH_SIZE_MISMATCH + * or ARM_MATH_SUCCESS based on the outcome of size checking. + */ + + +arm_status arm_mat_trans_f32( + const arm_matrix_instance_f32 * pSrc, + arm_matrix_instance_f32 * pDst) +{ + float32_t *pIn = pSrc->pData; /* input data matrix pointer */ + float32_t *pOut = pDst->pData; /* output data matrix pointer */ + float32_t *px; /* Temporary output data matrix pointer */ + uint16_t nRows = pSrc->numRows; /* number of rows */ + uint16_t nColumns = pSrc->numCols; /* number of columns */ + +#if defined (ARM_MATH_DSP) + + /* Run the below code for Cortex-M4 and Cortex-M3 */ + + uint16_t blkCnt, i = 0U, row = nRows; /* loop counters */ + arm_status status; /* status of matrix transpose */ + + +#ifdef ARM_MATH_MATRIX_CHECK + + + /* Check for matrix mismatch condition */ + if ((pSrc->numRows != pDst->numCols) || (pSrc->numCols != pDst->numRows)) + { + /* Set status as ARM_MATH_SIZE_MISMATCH */ + status = ARM_MATH_SIZE_MISMATCH; + } + else +#endif /* #ifdef ARM_MATH_MATRIX_CHECK */ + + { + /* Matrix transpose by exchanging the rows with columns */ + /* row loop */ + do + { + /* Loop Unrolling */ + blkCnt = nColumns >> 2; + + /* The pointer px is set to starting address of the column being processed */ + px = pOut + i; + + /* First part of the processing with loop unrolling. Compute 4 outputs at a time. + ** a second loop below computes the remaining 1 to 3 samples. */ + while (blkCnt > 0U) /* column loop */ + { + /* Read and store the input element in the destination */ + *px = *pIn++; + + /* Update the pointer px to point to the next row of the transposed matrix */ + px += nRows; + + /* Read and store the input element in the destination */ + *px = *pIn++; + + /* Update the pointer px to point to the next row of the transposed matrix */ + px += nRows; + + /* Read and store the input element in the destination */ + *px = *pIn++; + + /* Update the pointer px to point to the next row of the transposed matrix */ + px += nRows; + + /* Read and store the input element in the destination */ + *px = *pIn++; + + /* Update the pointer px to point to the next row of the transposed matrix */ + px += nRows; + + /* Decrement the column loop counter */ + blkCnt--; + } + + /* Perform matrix transpose for last 3 samples here. */ + blkCnt = nColumns % 0x4U; + + while (blkCnt > 0U) + { + /* Read and store the input element in the destination */ + *px = *pIn++; + + /* Update the pointer px to point to the next row of the transposed matrix */ + px += nRows; + + /* Decrement the column loop counter */ + blkCnt--; + } + +#else + + /* Run the below code for Cortex-M0 */ + + uint16_t col, i = 0U, row = nRows; /* loop counters */ + arm_status status; /* status of matrix transpose */ + + +#ifdef ARM_MATH_MATRIX_CHECK + + /* Check for matrix mismatch condition */ + if ((pSrc->numRows != pDst->numCols) || (pSrc->numCols != pDst->numRows)) + { + /* Set status as ARM_MATH_SIZE_MISMATCH */ + status = ARM_MATH_SIZE_MISMATCH; + } + else +#endif /* #ifdef ARM_MATH_MATRIX_CHECK */ + + { + /* Matrix transpose by exchanging the rows with columns */ + /* row loop */ + do + { + /* The pointer px is set to starting address of the column being processed */ + px = pOut + i; + + /* Initialize column loop counter */ + col = nColumns; + + while (col > 0U) + { + /* Read and store the input element in the destination */ + *px = *pIn++; + + /* Update the pointer px to point to the next row of the transposed matrix */ + px += nRows; + + /* Decrement the column loop counter */ + col--; + } + +#endif /* #if defined (ARM_MATH_DSP) */ + + i++; + + /* Decrement the row loop counter */ + row--; + + } while (row > 0U); /* row loop end */ + + /* Set status as ARM_MATH_SUCCESS */ + status = ARM_MATH_SUCCESS; + } + + /* Return to application */ + return (status); +} + +/** + * @} end of MatrixTrans group + */ diff --git a/fw/hid-dials/Drivers/CMSIS/DSP/Source/MatrixFunctions/arm_mat_trans_q15.c b/fw/hid-dials/Drivers/CMSIS/DSP/Source/MatrixFunctions/arm_mat_trans_q15.c new file mode 100644 index 0000000..817210c --- /dev/null +++ b/fw/hid-dials/Drivers/CMSIS/DSP/Source/MatrixFunctions/arm_mat_trans_q15.c @@ -0,0 +1,272 @@ +/* ---------------------------------------------------------------------- + * Project: CMSIS DSP Library + * Title: arm_mat_trans_q15.c + * Description: Q15 matrix transpose + * + * $Date: 27. January 2017 + * $Revision: V.1.5.1 + * + * Target Processor: Cortex-M cores + * -------------------------------------------------------------------- */ +/* + * Copyright (C) 2010-2017 ARM Limited or its affiliates. All rights reserved. + * + * SPDX-License-Identifier: Apache-2.0 + * + * Licensed under the Apache License, Version 2.0 (the License); you may + * not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an AS IS BASIS, WITHOUT + * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ + +#include "arm_math.h" + +/** + * @ingroup groupMatrix + */ + +/** + * @addtogroup MatrixTrans + * @{ + */ + +/* + * @brief Q15 matrix transpose. + * @param[in] *pSrc points to the input matrix + * @param[out] *pDst points to the output matrix + * @return The function returns either ARM_MATH_SIZE_MISMATCH + * or ARM_MATH_SUCCESS based on the outcome of size checking. + */ + +arm_status arm_mat_trans_q15( + const arm_matrix_instance_q15 * pSrc, + arm_matrix_instance_q15 * pDst) +{ + q15_t *pSrcA = pSrc->pData; /* input data matrix pointer */ + q15_t *pOut = pDst->pData; /* output data matrix pointer */ + uint16_t nRows = pSrc->numRows; /* number of nRows */ + uint16_t nColumns = pSrc->numCols; /* number of nColumns */ + uint16_t col, row = nRows, i = 0U; /* row and column loop counters */ + arm_status status; /* status of matrix transpose */ + +#if defined (ARM_MATH_DSP) + + /* Run the below code for Cortex-M4 and Cortex-M3 */ +#ifndef UNALIGNED_SUPPORT_DISABLE + + q31_t in; /* variable to hold temporary output */ + +#else + + q15_t in; + +#endif /* #ifndef UNALIGNED_SUPPORT_DISABLE */ + +#ifdef ARM_MATH_MATRIX_CHECK + + + /* Check for matrix mismatch condition */ + if ((pSrc->numRows != pDst->numCols) || (pSrc->numCols != pDst->numRows)) + { + /* Set status as ARM_MATH_SIZE_MISMATCH */ + status = ARM_MATH_SIZE_MISMATCH; + } + else +#endif /* #ifdef ARM_MATH_MATRIX_CHECK */ + + { + /* Matrix transpose by exchanging the rows with columns */ + /* row loop */ + do + { + + /* Apply loop unrolling and exchange the columns with row elements */ + col = nColumns >> 2U; + + /* The pointer pOut is set to starting address of the column being processed */ + pOut = pDst->pData + i; + + /* First part of the processing with loop unrolling. Compute 4 outputs at a time. + ** a second loop below computes the remaining 1 to 3 samples. */ + while (col > 0U) + { +#ifndef UNALIGNED_SUPPORT_DISABLE + + /* Read two elements from the row */ + in = *__SIMD32(pSrcA)++; + + /* Unpack and store one element in the destination */ +#ifndef ARM_MATH_BIG_ENDIAN + + *pOut = (q15_t) in; + +#else + + *pOut = (q15_t) ((in & (q31_t) 0xffff0000) >> 16); + +#endif /* #ifndef ARM_MATH_BIG_ENDIAN */ + + /* Update the pointer pOut to point to the next row of the transposed matrix */ + pOut += nRows; + + /* Unpack and store the second element in the destination */ + +#ifndef ARM_MATH_BIG_ENDIAN + + *pOut = (q15_t) ((in & (q31_t) 0xffff0000) >> 16); + +#else + + *pOut = (q15_t) in; + +#endif /* #ifndef ARM_MATH_BIG_ENDIAN */ + + /* Update the pointer pOut to point to the next row of the transposed matrix */ + pOut += nRows; + + /* Read two elements from the row */ +#ifndef ARM_MATH_BIG_ENDIAN + + in = *__SIMD32(pSrcA)++; + +#else + + in = *__SIMD32(pSrcA)++; + +#endif /* #ifndef ARM_MATH_BIG_ENDIAN */ + + /* Unpack and store one element in the destination */ +#ifndef ARM_MATH_BIG_ENDIAN + + *pOut = (q15_t) in; + +#else + + *pOut = (q15_t) ((in & (q31_t) 0xffff0000) >> 16); + +#endif /* #ifndef ARM_MATH_BIG_ENDIAN */ + + /* Update the pointer pOut to point to the next row of the transposed matrix */ + pOut += nRows; + + /* Unpack and store the second element in the destination */ +#ifndef ARM_MATH_BIG_ENDIAN + + *pOut = (q15_t) ((in & (q31_t) 0xffff0000) >> 16); + +#else + + *pOut = (q15_t) in; + +#endif /* #ifndef ARM_MATH_BIG_ENDIAN */ + +#else + /* Read one element from the row */ + in = *pSrcA++; + + /* Store one element in the destination */ + *pOut = in; + + /* Update the pointer px to point to the next row of the transposed matrix */ + pOut += nRows; + + /* Read one element from the row */ + in = *pSrcA++; + + /* Store one element in the destination */ + *pOut = in; + + /* Update the pointer px to point to the next row of the transposed matrix */ + pOut += nRows; + + /* Read one element from the row */ + in = *pSrcA++; + + /* Store one element in the destination */ + *pOut = in; + + /* Update the pointer px to point to the next row of the transposed matrix */ + pOut += nRows; + + /* Read one element from the row */ + in = *pSrcA++; + + /* Store one element in the destination */ + *pOut = in; + +#endif /* #ifndef UNALIGNED_SUPPORT_DISABLE */ + + /* Update the pointer pOut to point to the next row of the transposed matrix */ + pOut += nRows; + + /* Decrement the column loop counter */ + col--; + } + + /* Perform matrix transpose for last 3 samples here. */ + col = nColumns % 0x4U; + +#else + + /* Run the below code for Cortex-M0 */ + +#ifdef ARM_MATH_MATRIX_CHECK + + /* Check for matrix mismatch condition */ + if ((pSrc->numRows != pDst->numCols) || (pSrc->numCols != pDst->numRows)) + { + /* Set status as ARM_MATH_SIZE_MISMATCH */ + status = ARM_MATH_SIZE_MISMATCH; + } + else +#endif /* #ifdef ARM_MATH_MATRIX_CHECK */ + + { + /* Matrix transpose by exchanging the rows with columns */ + /* row loop */ + do + { + /* The pointer pOut is set to starting address of the column being processed */ + pOut = pDst->pData + i; + + /* Initialize column loop counter */ + col = nColumns; + +#endif /* #if defined (ARM_MATH_DSP) */ + + while (col > 0U) + { + /* Read and store the input element in the destination */ + *pOut = *pSrcA++; + + /* Update the pointer pOut to point to the next row of the transposed matrix */ + pOut += nRows; + + /* Decrement the column loop counter */ + col--; + } + + i++; + + /* Decrement the row loop counter */ + row--; + + } while (row > 0U); + + /* set status as ARM_MATH_SUCCESS */ + status = ARM_MATH_SUCCESS; + } + /* Return to application */ + return (status); +} + +/** + * @} end of MatrixTrans group + */ diff --git a/fw/hid-dials/Drivers/CMSIS/DSP/Source/MatrixFunctions/arm_mat_trans_q31.c b/fw/hid-dials/Drivers/CMSIS/DSP/Source/MatrixFunctions/arm_mat_trans_q31.c new file mode 100644 index 0000000..9f94938 --- /dev/null +++ b/fw/hid-dials/Drivers/CMSIS/DSP/Source/MatrixFunctions/arm_mat_trans_q31.c @@ -0,0 +1,198 @@ +/* ---------------------------------------------------------------------- + * Project: CMSIS DSP Library + * Title: arm_mat_trans_q31.c + * Description: Q31 matrix transpose + * + * $Date: 27. January 2017 + * $Revision: V.1.5.1 + * + * Target Processor: Cortex-M cores + * -------------------------------------------------------------------- */ +/* + * Copyright (C) 2010-2017 ARM Limited or its affiliates. All rights reserved. + * + * SPDX-License-Identifier: Apache-2.0 + * + * Licensed under the Apache License, Version 2.0 (the License); you may + * not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an AS IS BASIS, WITHOUT + * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ + +#include "arm_math.h" + +/** + * @ingroup groupMatrix + */ + +/** + * @addtogroup MatrixTrans + * @{ + */ + +/* + * @brief Q31 matrix transpose. + * @param[in] *pSrc points to the input matrix + * @param[out] *pDst points to the output matrix + * @return The function returns either ARM_MATH_SIZE_MISMATCH + * or ARM_MATH_SUCCESS based on the outcome of size checking. + */ + +arm_status arm_mat_trans_q31( + const arm_matrix_instance_q31 * pSrc, + arm_matrix_instance_q31 * pDst) +{ + q31_t *pIn = pSrc->pData; /* input data matrix pointer */ + q31_t *pOut = pDst->pData; /* output data matrix pointer */ + q31_t *px; /* Temporary output data matrix pointer */ + uint16_t nRows = pSrc->numRows; /* number of nRows */ + uint16_t nColumns = pSrc->numCols; /* number of nColumns */ + +#if defined (ARM_MATH_DSP) + + /* Run the below code for Cortex-M4 and Cortex-M3 */ + + uint16_t blkCnt, i = 0U, row = nRows; /* loop counters */ + arm_status status; /* status of matrix transpose */ + + +#ifdef ARM_MATH_MATRIX_CHECK + + + /* Check for matrix mismatch condition */ + if ((pSrc->numRows != pDst->numCols) || (pSrc->numCols != pDst->numRows)) + { + /* Set status as ARM_MATH_SIZE_MISMATCH */ + status = ARM_MATH_SIZE_MISMATCH; + } + else +#endif /* #ifdef ARM_MATH_MATRIX_CHECK */ + + { + /* Matrix transpose by exchanging the rows with columns */ + /* row loop */ + do + { + /* Apply loop unrolling and exchange the columns with row elements */ + blkCnt = nColumns >> 2U; + + /* The pointer px is set to starting address of the column being processed */ + px = pOut + i; + + /* First part of the processing with loop unrolling. Compute 4 outputs at a time. + ** a second loop below computes the remaining 1 to 3 samples. */ + while (blkCnt > 0U) + { + /* Read and store the input element in the destination */ + *px = *pIn++; + + /* Update the pointer px to point to the next row of the transposed matrix */ + px += nRows; + + /* Read and store the input element in the destination */ + *px = *pIn++; + + /* Update the pointer px to point to the next row of the transposed matrix */ + px += nRows; + + /* Read and store the input element in the destination */ + *px = *pIn++; + + /* Update the pointer px to point to the next row of the transposed matrix */ + px += nRows; + + /* Read and store the input element in the destination */ + *px = *pIn++; + + /* Update the pointer px to point to the next row of the transposed matrix */ + px += nRows; + + /* Decrement the column loop counter */ + blkCnt--; + } + + /* Perform matrix transpose for last 3 samples here. */ + blkCnt = nColumns % 0x4U; + + while (blkCnt > 0U) + { + /* Read and store the input element in the destination */ + *px = *pIn++; + + /* Update the pointer px to point to the next row of the transposed matrix */ + px += nRows; + + /* Decrement the column loop counter */ + blkCnt--; + } + +#else + + /* Run the below code for Cortex-M0 */ + + uint16_t col, i = 0U, row = nRows; /* loop counters */ + arm_status status; /* status of matrix transpose */ + + +#ifdef ARM_MATH_MATRIX_CHECK + + /* Check for matrix mismatch condition */ + if ((pSrc->numRows != pDst->numCols) || (pSrc->numCols != pDst->numRows)) + { + /* Set status as ARM_MATH_SIZE_MISMATCH */ + status = ARM_MATH_SIZE_MISMATCH; + } + else +#endif /* #ifdef ARM_MATH_MATRIX_CHECK */ + + { + /* Matrix transpose by exchanging the rows with columns */ + /* row loop */ + do + { + /* The pointer px is set to starting address of the column being processed */ + px = pOut + i; + + /* Initialize column loop counter */ + col = nColumns; + + while (col > 0U) + { + /* Read and store the input element in the destination */ + *px = *pIn++; + + /* Update the pointer px to point to the next row of the transposed matrix */ + px += nRows; + + /* Decrement the column loop counter */ + col--; + } + +#endif /* #if defined (ARM_MATH_DSP) */ + + i++; + + /* Decrement the row loop counter */ + row--; + + } + while (row > 0U); /* row loop end */ + + /* set status as ARM_MATH_SUCCESS */ + status = ARM_MATH_SUCCESS; + } + + /* Return to application */ + return (status); +} + +/** + * @} end of MatrixTrans group + */ diff --git a/fw/hid-dials/Drivers/CMSIS/DSP/Source/StatisticsFunctions/arm_max_f32.c b/fw/hid-dials/Drivers/CMSIS/DSP/Source/StatisticsFunctions/arm_max_f32.c new file mode 100644 index 0000000..3a77a9f --- /dev/null +++ b/fw/hid-dials/Drivers/CMSIS/DSP/Source/StatisticsFunctions/arm_max_f32.c @@ -0,0 +1,170 @@ +/* ---------------------------------------------------------------------- + * Project: CMSIS DSP Library + * Title: arm_max_f32.c + * Description: Maximum value of a floating-point vector + * + * $Date: 27. January 2017 + * $Revision: V.1.5.1 + * + * Target Processor: Cortex-M cores + * -------------------------------------------------------------------- */ +/* + * Copyright (C) 2010-2017 ARM Limited or its affiliates. All rights reserved. + * + * SPDX-License-Identifier: Apache-2.0 + * + * Licensed under the Apache License, Version 2.0 (the License); you may + * not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an AS IS BASIS, WITHOUT + * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ + +#include "arm_math.h" + +/** + * @ingroup groupStats + */ + +/** + * @defgroup Max Maximum + * + * Computes the maximum value of an array of data. + * The function returns both the maximum value and its position within the array. + * There are separate functions for floating-point, Q31, Q15, and Q7 data types. + */ + +/** + * @addtogroup Max + * @{ + */ + + +/** + * @brief Maximum value of a floating-point vector. + * @param[in] *pSrc points to the input vector + * @param[in] blockSize length of the input vector + * @param[out] *pResult maximum value returned here + * @param[out] *pIndex index of maximum value returned here + * @return none. + */ + +void arm_max_f32( + float32_t * pSrc, + uint32_t blockSize, + float32_t * pResult, + uint32_t * pIndex) +{ +#if defined (ARM_MATH_DSP) + /* Run the below code for Cortex-M4 and Cortex-M3 */ + + float32_t maxVal1, maxVal2, out; /* Temporary variables to store the output value. */ + uint32_t blkCnt, outIndex, count; /* loop counter */ + + /* Initialise the count value. */ + count = 0U; + /* Initialise the index value to zero. */ + outIndex = 0U; + /* Load first input value that act as reference value for comparision */ + out = *pSrc++; + + /* Loop unrolling */ + blkCnt = (blockSize - 1U) >> 2U; + + while (blkCnt > 0U) + { + /* Initialize maxVal to the next consecutive values one by one */ + maxVal1 = *pSrc++; + maxVal2 = *pSrc++; + + /* compare for the maximum value */ + if (out < maxVal1) + { + /* Update the maximum value and its index */ + out = maxVal1; + outIndex = count + 1U; + } + + /* compare for the maximum value */ + if (out < maxVal2) + { + /* Update the maximum value and its index */ + out = maxVal2; + outIndex = count + 2U; + } + + /* Initialize maxVal to the next consecutive values one by one */ + maxVal1 = *pSrc++; + maxVal2 = *pSrc++; + + /* compare for the maximum value */ + if (out < maxVal1) + { + /* Update the maximum value and its index */ + out = maxVal1; + outIndex = count + 3U; + } + + /* compare for the maximum value */ + if (out < maxVal2) + { + /* Update the maximum value and its index */ + out = maxVal2; + outIndex = count + 4U; + } + + count += 4U; + + /* Decrement the loop counter */ + blkCnt--; + } + + /* if (blockSize - 1U) is not multiple of 4 */ + blkCnt = (blockSize - 1U) % 4U; + +#else + /* Run the below code for Cortex-M0 */ + + float32_t maxVal1, out; /* Temporary variables to store the output value. */ + uint32_t blkCnt, outIndex; /* loop counter */ + + /* Initialise the index value to zero. */ + outIndex = 0U; + /* Load first input value that act as reference value for comparision */ + out = *pSrc++; + + blkCnt = (blockSize - 1U); + +#endif /* #if defined (ARM_MATH_DSP) */ + + while (blkCnt > 0U) + { + /* Initialize maxVal to the next consecutive values one by one */ + maxVal1 = *pSrc++; + + /* compare for the maximum value */ + if (out < maxVal1) + { + /* Update the maximum value and it's index */ + out = maxVal1; + outIndex = blockSize - blkCnt; + } + + /* Decrement the loop counter */ + blkCnt--; + } + + /* Store the maximum value and it's index into destination pointers */ + *pResult = out; + *pIndex = outIndex; +} + +/** + * @} end of Max group + */ diff --git a/fw/hid-dials/Drivers/CMSIS/DSP/Source/StatisticsFunctions/arm_max_q15.c b/fw/hid-dials/Drivers/CMSIS/DSP/Source/StatisticsFunctions/arm_max_q15.c new file mode 100644 index 0000000..c2fead2 --- /dev/null +++ b/fw/hid-dials/Drivers/CMSIS/DSP/Source/StatisticsFunctions/arm_max_q15.c @@ -0,0 +1,162 @@ +/* ---------------------------------------------------------------------- + * Project: CMSIS DSP Library + * Title: arm_max_q15.c + * Description: Maximum value of a Q15 vector + * + * $Date: 27. January 2017 + * $Revision: V.1.5.1 + * + * Target Processor: Cortex-M cores + * -------------------------------------------------------------------- */ +/* + * Copyright (C) 2010-2017 ARM Limited or its affiliates. All rights reserved. + * + * SPDX-License-Identifier: Apache-2.0 + * + * Licensed under the Apache License, Version 2.0 (the License); you may + * not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an AS IS BASIS, WITHOUT + * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ + +#include "arm_math.h" + +/** + * @ingroup groupStats + */ + +/** + * @addtogroup Max + * @{ + */ + + +/** + * @brief Maximum value of a Q15 vector. + * @param[in] *pSrc points to the input vector + * @param[in] blockSize length of the input vector + * @param[out] *pResult maximum value returned here + * @param[out] *pIndex index of maximum value returned here + * @return none. + */ + +void arm_max_q15( + q15_t * pSrc, + uint32_t blockSize, + q15_t * pResult, + uint32_t * pIndex) +{ +#if defined (ARM_MATH_DSP) + /* Run the below code for Cortex-M4 and Cortex-M3 */ + + q15_t maxVal1, maxVal2, out; /* Temporary variables to store the output value. */ + uint32_t blkCnt, outIndex, count; /* loop counter */ + + /* Initialise the count value. */ + count = 0U; + /* Initialise the index value to zero. */ + outIndex = 0U; + /* Load first input value that act as reference value for comparision */ + out = *pSrc++; + + /* Loop unrolling */ + blkCnt = (blockSize - 1U) >> 2U; + + while (blkCnt > 0U) + { + /* Initialize maxVal to the next consecutive values one by one */ + maxVal1 = *pSrc++; + maxVal2 = *pSrc++; + + /* compare for the maximum value */ + if (out < maxVal1) + { + /* Update the maximum value and its index */ + out = maxVal1; + outIndex = count + 1U; + } + + /* compare for the maximum value */ + if (out < maxVal2) + { + /* Update the maximum value and its index */ + out = maxVal2; + outIndex = count + 2U; + } + + /* Initialize maxVal to the next consecutive values one by one */ + maxVal1 = *pSrc++; + maxVal2 = *pSrc++; + + /* compare for the maximum value */ + if (out < maxVal1) + { + /* Update the maximum value and its index */ + out = maxVal1; + outIndex = count + 3U; + } + + /* compare for the maximum value */ + if (out < maxVal2) + { + /* Update the maximum value and its index */ + out = maxVal2; + outIndex = count + 4U; + } + + count += 4U; + + /* Decrement the loop counter */ + blkCnt--; + } + + /* if (blockSize - 1U) is not multiple of 4 */ + blkCnt = (blockSize - 1U) % 4U; + +#else + /* Run the below code for Cortex-M0 */ + + q15_t maxVal1, out; /* Temporary variables to store the output value. */ + uint32_t blkCnt, outIndex; /* loop counter */ + + /* Initialise the index value to zero. */ + outIndex = 0U; + /* Load first input value that act as reference value for comparision */ + out = *pSrc++; + + blkCnt = (blockSize - 1U); + +#endif /* #if defined (ARM_MATH_DSP) */ + + while (blkCnt > 0U) + { + /* Initialize maxVal to the next consecutive values one by one */ + maxVal1 = *pSrc++; + + /* compare for the maximum value */ + if (out < maxVal1) + { + /* Update the maximum value and it's index */ + out = maxVal1; + outIndex = blockSize - blkCnt; + } + + /* Decrement the loop counter */ + blkCnt--; + } + + /* Store the maximum value and it's index into destination pointers */ + *pResult = out; + *pIndex = outIndex; +} + +/** + * @} end of Max group + */ diff --git a/fw/hid-dials/Drivers/CMSIS/DSP/Source/StatisticsFunctions/arm_max_q31.c b/fw/hid-dials/Drivers/CMSIS/DSP/Source/StatisticsFunctions/arm_max_q31.c new file mode 100644 index 0000000..5e90693 --- /dev/null +++ b/fw/hid-dials/Drivers/CMSIS/DSP/Source/StatisticsFunctions/arm_max_q31.c @@ -0,0 +1,162 @@ +/* ---------------------------------------------------------------------- + * Project: CMSIS DSP Library + * Title: arm_max_q31.c + * Description: Maximum value of a Q31 vector + * + * $Date: 27. January 2017 + * $Revision: V.1.5.1 + * + * Target Processor: Cortex-M cores + * -------------------------------------------------------------------- */ +/* + * Copyright (C) 2010-2017 ARM Limited or its affiliates. All rights reserved. + * + * SPDX-License-Identifier: Apache-2.0 + * + * Licensed under the Apache License, Version 2.0 (the License); you may + * not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an AS IS BASIS, WITHOUT + * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ + +#include "arm_math.h" + +/** + * @ingroup groupStats + */ + +/** + * @addtogroup Max + * @{ + */ + + +/** + * @brief Maximum value of a Q31 vector. + * @param[in] *pSrc points to the input vector + * @param[in] blockSize length of the input vector + * @param[out] *pResult maximum value returned here + * @param[out] *pIndex index of maximum value returned here + * @return none. + */ + +void arm_max_q31( + q31_t * pSrc, + uint32_t blockSize, + q31_t * pResult, + uint32_t * pIndex) +{ +#if defined (ARM_MATH_DSP) + /* Run the below code for Cortex-M4 and Cortex-M3 */ + + q31_t maxVal1, maxVal2, out; /* Temporary variables to store the output value. */ + uint32_t blkCnt, outIndex, count; /* loop counter */ + + /* Initialise the count value. */ + count = 0U; + /* Initialise the index value to zero. */ + outIndex = 0U; + /* Load first input value that act as reference value for comparision */ + out = *pSrc++; + + /* Loop unrolling */ + blkCnt = (blockSize - 1U) >> 2U; + + while (blkCnt > 0U) + { + /* Initialize maxVal to the next consecutive values one by one */ + maxVal1 = *pSrc++; + maxVal2 = *pSrc++; + + /* compare for the maximum value */ + if (out < maxVal1) + { + /* Update the maximum value and its index */ + out = maxVal1; + outIndex = count + 1U; + } + + /* compare for the maximum value */ + if (out < maxVal2) + { + /* Update the maximum value and its index */ + out = maxVal2; + outIndex = count + 2U; + } + + /* Initialize maxVal to the next consecutive values one by one */ + maxVal1 = *pSrc++; + maxVal2 = *pSrc++; + + /* compare for the maximum value */ + if (out < maxVal1) + { + /* Update the maximum value and its index */ + out = maxVal1; + outIndex = count + 3U; + } + + /* compare for the maximum value */ + if (out < maxVal2) + { + /* Update the maximum value and its index */ + out = maxVal2; + outIndex = count + 4U; + } + + count += 4U; + + /* Decrement the loop counter */ + blkCnt--; + } + + /* if (blockSize - 1U) is not multiple of 4 */ + blkCnt = (blockSize - 1U) % 4U; + +#else + /* Run the below code for Cortex-M0 */ + + q31_t maxVal1, out; /* Temporary variables to store the output value. */ + uint32_t blkCnt, outIndex; /* loop counter */ + + /* Initialise the index value to zero. */ + outIndex = 0U; + /* Load first input value that act as reference value for comparision */ + out = *pSrc++; + + blkCnt = (blockSize - 1U); + +#endif /* #if defined (ARM_MATH_DSP) */ + + while (blkCnt > 0U) + { + /* Initialize maxVal to the next consecutive values one by one */ + maxVal1 = *pSrc++; + + /* compare for the maximum value */ + if (out < maxVal1) + { + /* Update the maximum value and it's index */ + out = maxVal1; + outIndex = blockSize - blkCnt; + } + + /* Decrement the loop counter */ + blkCnt--; + } + + /* Store the maximum value and it's index into destination pointers */ + *pResult = out; + *pIndex = outIndex; +} + +/** + * @} end of Max group + */ diff --git a/fw/hid-dials/Drivers/CMSIS/DSP/Source/StatisticsFunctions/arm_max_q7.c b/fw/hid-dials/Drivers/CMSIS/DSP/Source/StatisticsFunctions/arm_max_q7.c new file mode 100644 index 0000000..6cd6f60 --- /dev/null +++ b/fw/hid-dials/Drivers/CMSIS/DSP/Source/StatisticsFunctions/arm_max_q7.c @@ -0,0 +1,162 @@ +/* ---------------------------------------------------------------------- + * Project: CMSIS DSP Library + * Title: arm_max_q7.c + * Description: Maximum value of a Q7 vector + * + * $Date: 27. January 2017 + * $Revision: V.1.5.1 + * + * Target Processor: Cortex-M cores + * -------------------------------------------------------------------- */ +/* + * Copyright (C) 2010-2017 ARM Limited or its affiliates. All rights reserved. + * + * SPDX-License-Identifier: Apache-2.0 + * + * Licensed under the Apache License, Version 2.0 (the License); you may + * not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an AS IS BASIS, WITHOUT + * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ + +#include "arm_math.h" + +/** + * @ingroup groupStats + */ + +/** + * @addtogroup Max + * @{ + */ + + +/** + * @brief Maximum value of a Q7 vector. + * @param[in] *pSrc points to the input vector + * @param[in] blockSize length of the input vector + * @param[out] *pResult maximum value returned here + * @param[out] *pIndex index of maximum value returned here + * @return none. + */ + +void arm_max_q7( + q7_t * pSrc, + uint32_t blockSize, + q7_t * pResult, + uint32_t * pIndex) +{ +#if defined (ARM_MATH_DSP) + /* Run the below code for Cortex-M4 and Cortex-M3 */ + + q7_t maxVal1, maxVal2, out; /* Temporary variables to store the output value. */ + uint32_t blkCnt, outIndex, count; /* loop counter */ + + /* Initialise the count value. */ + count = 0U; + /* Initialise the index value to zero. */ + outIndex = 0U; + /* Load first input value that act as reference value for comparision */ + out = *pSrc++; + + /* Loop unrolling */ + blkCnt = (blockSize - 1U) >> 2U; + + while (blkCnt > 0U) + { + /* Initialize maxVal to the next consecutive values one by one */ + maxVal1 = *pSrc++; + maxVal2 = *pSrc++; + + /* compare for the maximum value */ + if (out < maxVal1) + { + /* Update the maximum value and its index */ + out = maxVal1; + outIndex = count + 1U; + } + + /* compare for the maximum value */ + if (out < maxVal2) + { + /* Update the maximum value and its index */ + out = maxVal2; + outIndex = count + 2U; + } + + /* Initialize maxVal to the next consecutive values one by one */ + maxVal1 = *pSrc++; + maxVal2 = *pSrc++; + + /* compare for the maximum value */ + if (out < maxVal1) + { + /* Update the maximum value and its index */ + out = maxVal1; + outIndex = count + 3U; + } + + /* compare for the maximum value */ + if (out < maxVal2) + { + /* Update the maximum value and its index */ + out = maxVal2; + outIndex = count + 4U; + } + + count += 4U; + + /* Decrement the loop counter */ + blkCnt--; + } + + /* if (blockSize - 1U) is not multiple of 4 */ + blkCnt = (blockSize - 1U) % 4U; + +#else + /* Run the below code for Cortex-M0 */ + + q7_t maxVal1, out; /* Temporary variables to store the output value. */ + uint32_t blkCnt, outIndex; /* loop counter */ + + /* Initialise the index value to zero. */ + outIndex = 0U; + /* Load first input value that act as reference value for comparision */ + out = *pSrc++; + + blkCnt = (blockSize - 1U); + +#endif /* #if defined (ARM_MATH_DSP) */ + + while (blkCnt > 0U) + { + /* Initialize maxVal to the next consecutive values one by one */ + maxVal1 = *pSrc++; + + /* compare for the maximum value */ + if (out < maxVal1) + { + /* Update the maximum value and it's index */ + out = maxVal1; + outIndex = blockSize - blkCnt; + } + + /* Decrement the loop counter */ + blkCnt--; + } + + /* Store the maximum value and it's index into destination pointers */ + *pResult = out; + *pIndex = outIndex; +} + +/** + * @} end of Max group + */ diff --git a/fw/hid-dials/Drivers/CMSIS/DSP/Source/StatisticsFunctions/arm_mean_f32.c b/fw/hid-dials/Drivers/CMSIS/DSP/Source/StatisticsFunctions/arm_mean_f32.c new file mode 100644 index 0000000..8a59188 --- /dev/null +++ b/fw/hid-dials/Drivers/CMSIS/DSP/Source/StatisticsFunctions/arm_mean_f32.c @@ -0,0 +1,125 @@ +/* ---------------------------------------------------------------------- + * Project: CMSIS DSP Library + * Title: arm_mean_f32.c + * Description: Mean value of a floating-point vector + * + * $Date: 27. January 2017 + * $Revision: V.1.5.1 + * + * Target Processor: Cortex-M cores + * -------------------------------------------------------------------- */ +/* + * Copyright (C) 2010-2017 ARM Limited or its affiliates. All rights reserved. + * + * SPDX-License-Identifier: Apache-2.0 + * + * Licensed under the Apache License, Version 2.0 (the License); you may + * not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an AS IS BASIS, WITHOUT + * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ + +#include "arm_math.h" + +/** + * @ingroup groupStats + */ + +/** + * @defgroup mean Mean + * + * Calculates the mean of the input vector. Mean is defined as the average of the elements in the vector. + * The underlying algorithm is used: + * + *
+ * 	Result = (pSrc[0] + pSrc[1] + pSrc[2] + ... + pSrc[blockSize-1]) / blockSize;
+ * 
+ * + * There are separate functions for floating-point, Q31, Q15, and Q7 data types. + */ + +/** + * @addtogroup mean + * @{ + */ + + +/** + * @brief Mean value of a floating-point vector. + * @param[in] *pSrc points to the input vector + * @param[in] blockSize length of the input vector + * @param[out] *pResult mean value returned here + * @return none. + */ + +void arm_mean_f32( + float32_t * pSrc, + uint32_t blockSize, + float32_t * pResult) +{ + float32_t sum = 0.0f; /* Temporary result storage */ + uint32_t blkCnt; /* loop counter */ + +#if defined (ARM_MATH_DSP) + /* Run the below code for Cortex-M4 and Cortex-M3 */ + + float32_t in1, in2, in3, in4; + + /*loop Unrolling */ + blkCnt = blockSize >> 2U; + + /* First part of the processing with loop unrolling. Compute 4 outputs at a time. + ** a second loop below computes the remaining 1 to 3 samples. */ + while (blkCnt > 0U) + { + /* C = (A[0] + A[1] + A[2] + ... + A[blockSize-1]) */ + in1 = *pSrc++; + in2 = *pSrc++; + in3 = *pSrc++; + in4 = *pSrc++; + + sum += in1; + sum += in2; + sum += in3; + sum += in4; + + /* Decrement the loop counter */ + blkCnt--; + } + + /* If the blockSize is not a multiple of 4, compute any remaining output samples here. + ** No loop unrolling is used. */ + blkCnt = blockSize % 0x4U; + +#else + /* Run the below code for Cortex-M0 */ + + /* Loop over blockSize number of values */ + blkCnt = blockSize; + +#endif /* #if defined (ARM_MATH_DSP) */ + + while (blkCnt > 0U) + { + /* C = (A[0] + A[1] + A[2] + ... + A[blockSize-1]) */ + sum += *pSrc++; + + /* Decrement the loop counter */ + blkCnt--; + } + + /* C = (A[0] + A[1] + A[2] + ... + A[blockSize-1]) / blockSize */ + /* Store the result to the destination */ + *pResult = sum / (float32_t) blockSize; +} + +/** + * @} end of mean group + */ diff --git a/fw/hid-dials/Drivers/CMSIS/DSP/Source/StatisticsFunctions/arm_mean_q15.c b/fw/hid-dials/Drivers/CMSIS/DSP/Source/StatisticsFunctions/arm_mean_q15.c new file mode 100644 index 0000000..9ef0914 --- /dev/null +++ b/fw/hid-dials/Drivers/CMSIS/DSP/Source/StatisticsFunctions/arm_mean_q15.c @@ -0,0 +1,120 @@ +/* ---------------------------------------------------------------------- + * Project: CMSIS DSP Library + * Title: arm_mean_q15.c + * Description: Mean value of a Q15 vector + * + * $Date: 27. January 2017 + * $Revision: V.1.5.1 + * + * Target Processor: Cortex-M cores + * -------------------------------------------------------------------- */ +/* + * Copyright (C) 2010-2017 ARM Limited or its affiliates. All rights reserved. + * + * SPDX-License-Identifier: Apache-2.0 + * + * Licensed under the Apache License, Version 2.0 (the License); you may + * not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an AS IS BASIS, WITHOUT + * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ + +#include "arm_math.h" + +/** + * @ingroup groupStats + */ + +/** + * @addtogroup mean + * @{ + */ + + +/** + * @brief Mean value of a Q15 vector. + * @param[in] *pSrc points to the input vector + * @param[in] blockSize length of the input vector + * @param[out] *pResult mean value returned here + * @return none. + * + * @details + * Scaling and Overflow Behavior: + * \par + * The function is implemented using a 32-bit internal accumulator. + * The input is represented in 1.15 format and is accumulated in a 32-bit + * accumulator in 17.15 format. + * There is no risk of internal overflow with this approach, and the + * full precision of intermediate result is preserved. + * Finally, the accumulator is saturated and truncated to yield a result of 1.15 format. + * + */ + +void arm_mean_q15( + q15_t * pSrc, + uint32_t blockSize, + q15_t * pResult) +{ + q31_t sum = 0; /* Temporary result storage */ + uint32_t blkCnt; /* loop counter */ + +#if defined (ARM_MATH_DSP) + /* Run the below code for Cortex-M4 and Cortex-M3 */ + + q31_t in; + + /*loop Unrolling */ + blkCnt = blockSize >> 2U; + + /* First part of the processing with loop unrolling. Compute 4 outputs at a time. + ** a second loop below computes the remaining 1 to 3 samples. */ + while (blkCnt > 0U) + { + /* C = (A[0] + A[1] + A[2] + ... + A[blockSize-1]) */ + in = *__SIMD32(pSrc)++; + sum += ((in << 16U) >> 16U); + sum += (in >> 16U); + in = *__SIMD32(pSrc)++; + sum += ((in << 16U) >> 16U); + sum += (in >> 16U); + + /* Decrement the loop counter */ + blkCnt--; + } + + /* If the blockSize is not a multiple of 4, compute any remaining output samples here. + ** No loop unrolling is used. */ + blkCnt = blockSize % 0x4U; + +#else + /* Run the below code for Cortex-M0 */ + + /* Loop over blockSize number of values */ + blkCnt = blockSize; + +#endif /* #if defined (ARM_MATH_DSP) */ + + while (blkCnt > 0U) + { + /* C = (A[0] + A[1] + A[2] + ... + A[blockSize-1]) */ + sum += *pSrc++; + + /* Decrement the loop counter */ + blkCnt--; + } + + /* C = (A[0] + A[1] + A[2] + ... + A[blockSize-1]) / blockSize */ + /* Store the result to the destination */ + *pResult = (q15_t) (sum / (q31_t)blockSize); +} + +/** + * @} end of mean group + */ diff --git a/fw/hid-dials/Drivers/CMSIS/DSP/Source/StatisticsFunctions/arm_mean_q31.c b/fw/hid-dials/Drivers/CMSIS/DSP/Source/StatisticsFunctions/arm_mean_q31.c new file mode 100644 index 0000000..def314a --- /dev/null +++ b/fw/hid-dials/Drivers/CMSIS/DSP/Source/StatisticsFunctions/arm_mean_q31.c @@ -0,0 +1,123 @@ +/* ---------------------------------------------------------------------- + * Project: CMSIS DSP Library + * Title: arm_mean_q31.c + * Description: Mean value of a Q31 vector + * + * $Date: 27. January 2017 + * $Revision: V.1.5.1 + * + * Target Processor: Cortex-M cores + * -------------------------------------------------------------------- */ +/* + * Copyright (C) 2010-2017 ARM Limited or its affiliates. All rights reserved. + * + * SPDX-License-Identifier: Apache-2.0 + * + * Licensed under the Apache License, Version 2.0 (the License); you may + * not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an AS IS BASIS, WITHOUT + * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ + +#include "arm_math.h" + +/** + * @ingroup groupStats + */ + +/** + * @addtogroup mean + * @{ + */ + + +/** + * @brief Mean value of a Q31 vector. + * @param[in] *pSrc points to the input vector + * @param[in] blockSize length of the input vector + * @param[out] *pResult mean value returned here + * @return none. + * + * @details + * Scaling and Overflow Behavior: + *\par + * The function is implemented using a 64-bit internal accumulator. + * The input is represented in 1.31 format and is accumulated in a 64-bit + * accumulator in 33.31 format. + * There is no risk of internal overflow with this approach, and the + * full precision of intermediate result is preserved. + * Finally, the accumulator is truncated to yield a result of 1.31 format. + * + */ + +void arm_mean_q31( + q31_t * pSrc, + uint32_t blockSize, + q31_t * pResult) +{ + q63_t sum = 0; /* Temporary result storage */ + uint32_t blkCnt; /* loop counter */ + +#if defined (ARM_MATH_DSP) + /* Run the below code for Cortex-M4 and Cortex-M3 */ + + q31_t in1, in2, in3, in4; + + /*loop Unrolling */ + blkCnt = blockSize >> 2U; + + /* First part of the processing with loop unrolling. Compute 4 outputs at a time. + ** a second loop below computes the remaining 1 to 3 samples. */ + while (blkCnt > 0U) + { + /* C = (A[0] + A[1] + A[2] + ... + A[blockSize-1]) */ + in1 = *pSrc++; + in2 = *pSrc++; + in3 = *pSrc++; + in4 = *pSrc++; + + sum += in1; + sum += in2; + sum += in3; + sum += in4; + + /* Decrement the loop counter */ + blkCnt--; + } + + /* If the blockSize is not a multiple of 4, compute any remaining output samples here. + ** No loop unrolling is used. */ + blkCnt = blockSize % 0x4U; + +#else + /* Run the below code for Cortex-M0 */ + + /* Loop over blockSize number of values */ + blkCnt = blockSize; + +#endif /* #if defined (ARM_MATH_DSP) */ + + while (blkCnt > 0U) + { + /* C = (A[0] + A[1] + A[2] + ... + A[blockSize-1]) */ + sum += *pSrc++; + + /* Decrement the loop counter */ + blkCnt--; + } + + /* C = (A[0] + A[1] + A[2] + ... + A[blockSize-1]) / blockSize */ + /* Store the result to the destination */ + *pResult = (q31_t) (sum / (int32_t) blockSize); +} + +/** + * @} end of mean group + */ diff --git a/fw/hid-dials/Drivers/CMSIS/DSP/Source/StatisticsFunctions/arm_mean_q7.c b/fw/hid-dials/Drivers/CMSIS/DSP/Source/StatisticsFunctions/arm_mean_q7.c new file mode 100644 index 0000000..ae60869 --- /dev/null +++ b/fw/hid-dials/Drivers/CMSIS/DSP/Source/StatisticsFunctions/arm_mean_q7.c @@ -0,0 +1,120 @@ +/* ---------------------------------------------------------------------- + * Project: CMSIS DSP Library + * Title: arm_mean_q7.c + * Description: Mean value of a Q7 vector + * + * $Date: 27. January 2017 + * $Revision: V.1.5.1 + * + * Target Processor: Cortex-M cores + * -------------------------------------------------------------------- */ +/* + * Copyright (C) 2010-2017 ARM Limited or its affiliates. All rights reserved. + * + * SPDX-License-Identifier: Apache-2.0 + * + * Licensed under the Apache License, Version 2.0 (the License); you may + * not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an AS IS BASIS, WITHOUT + * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ + +#include "arm_math.h" + +/** + * @ingroup groupStats + */ + +/** + * @addtogroup mean + * @{ + */ + + +/** + * @brief Mean value of a Q7 vector. + * @param[in] *pSrc points to the input vector + * @param[in] blockSize length of the input vector + * @param[out] *pResult mean value returned here + * @return none. + * + * @details + * Scaling and Overflow Behavior: + * \par + * The function is implemented using a 32-bit internal accumulator. + * The input is represented in 1.7 format and is accumulated in a 32-bit + * accumulator in 25.7 format. + * There is no risk of internal overflow with this approach, and the + * full precision of intermediate result is preserved. + * Finally, the accumulator is truncated to yield a result of 1.7 format. + * + */ + +void arm_mean_q7( + q7_t * pSrc, + uint32_t blockSize, + q7_t * pResult) +{ + q31_t sum = 0; /* Temporary result storage */ + uint32_t blkCnt; /* loop counter */ + +#if defined (ARM_MATH_DSP) + /* Run the below code for Cortex-M4 and Cortex-M3 */ + + q31_t in; + + /*loop Unrolling */ + blkCnt = blockSize >> 2U; + + /* First part of the processing with loop unrolling. Compute 4 outputs at a time. + ** a second loop below computes the remaining 1 to 3 samples. */ + while (blkCnt > 0U) + { + /* C = (A[0] + A[1] + A[2] + ... + A[blockSize-1]) */ + in = *__SIMD32(pSrc)++; + + sum += ((in << 24U) >> 24U); + sum += ((in << 16U) >> 24U); + sum += ((in << 8U) >> 24U); + sum += (in >> 24U); + + /* Decrement the loop counter */ + blkCnt--; + } + + /* If the blockSize is not a multiple of 4, compute any remaining output samples here. + ** No loop unrolling is used. */ + blkCnt = blockSize % 0x4U; + +#else + /* Run the below code for Cortex-M0 */ + + /* Loop over blockSize number of values */ + blkCnt = blockSize; + +#endif /* #if defined (ARM_MATH_DSP) */ + + while (blkCnt > 0U) + { + /* C = (A[0] + A[1] + A[2] + ... + A[blockSize-1]) */ + sum += *pSrc++; + + /* Decrement the loop counter */ + blkCnt--; + } + + /* C = (A[0] + A[1] + A[2] + ... + A[blockSize-1]) / blockSize */ + /* Store the result to the destination */ + *pResult = (q7_t) (sum / (int32_t) blockSize); +} + +/** + * @} end of mean group + */ diff --git a/fw/hid-dials/Drivers/CMSIS/DSP/Source/StatisticsFunctions/arm_min_f32.c b/fw/hid-dials/Drivers/CMSIS/DSP/Source/StatisticsFunctions/arm_min_f32.c new file mode 100644 index 0000000..6ef11f9 --- /dev/null +++ b/fw/hid-dials/Drivers/CMSIS/DSP/Source/StatisticsFunctions/arm_min_f32.c @@ -0,0 +1,170 @@ +/* ---------------------------------------------------------------------- + * Project: CMSIS DSP Library + * Title: arm_min_f32.c + * Description: Minimum value of a floating-point vector + * + * $Date: 27. January 2017 + * $Revision: V.1.5.1 + * + * Target Processor: Cortex-M cores + * -------------------------------------------------------------------- */ +/* + * Copyright (C) 2010-2017 ARM Limited or its affiliates. All rights reserved. + * + * SPDX-License-Identifier: Apache-2.0 + * + * Licensed under the Apache License, Version 2.0 (the License); you may + * not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an AS IS BASIS, WITHOUT + * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ + +#include "arm_math.h" + +/** + * @ingroup groupStats + */ + +/** + * @defgroup Min Minimum + * + * Computes the minimum value of an array of data. + * The function returns both the minimum value and its position within the array. + * There are separate functions for floating-point, Q31, Q15, and Q7 data types. + */ + +/** + * @addtogroup Min + * @{ + */ + + +/** + * @brief Minimum value of a floating-point vector. + * @param[in] *pSrc points to the input vector + * @param[in] blockSize length of the input vector + * @param[out] *pResult minimum value returned here + * @param[out] *pIndex index of minimum value returned here + * @return none. + */ + +void arm_min_f32( + float32_t * pSrc, + uint32_t blockSize, + float32_t * pResult, + uint32_t * pIndex) +{ +#if defined (ARM_MATH_DSP) + /* Run the below code for Cortex-M4 and Cortex-M3 */ + + float32_t minVal1, minVal2, out; /* Temporary variables to store the output value. */ + uint32_t blkCnt, outIndex, count; /* loop counter */ + + /* Initialise the count value. */ + count = 0U; + /* Initialise the index value to zero. */ + outIndex = 0U; + /* Load first input value that act as reference value for comparision */ + out = *pSrc++; + + /* Loop unrolling */ + blkCnt = (blockSize - 1U) >> 2U; + + while (blkCnt > 0U) + { + /* Initialize minVal to the next consecutive values one by one */ + minVal1 = *pSrc++; + minVal2 = *pSrc++; + + /* compare for the minimum value */ + if (out > minVal1) + { + /* Update the minimum value and its index */ + out = minVal1; + outIndex = count + 1U; + } + + /* compare for the minimum value */ + if (out > minVal2) + { + /* Update the minimum value and its index */ + out = minVal2; + outIndex = count + 2U; + } + + /* Initialize minVal to the next consecutive values one by one */ + minVal1 = *pSrc++; + minVal2 = *pSrc++; + + /* compare for the minimum value */ + if (out > minVal1) + { + /* Update the minimum value and its index */ + out = minVal1; + outIndex = count + 3U; + } + + /* compare for the minimum value */ + if (out > minVal2) + { + /* Update the minimum value and its index */ + out = minVal2; + outIndex = count + 4U; + } + + count += 4U; + + /* Decrement the loop counter */ + blkCnt--; + } + + /* if (blockSize - 1U) is not multiple of 4 */ + blkCnt = (blockSize - 1U) % 4U; + +#else + /* Run the below code for Cortex-M0 */ + + float32_t minVal1, out; /* Temporary variables to store the output value. */ + uint32_t blkCnt, outIndex; /* loop counter */ + + /* Initialise the index value to zero. */ + outIndex = 0U; + /* Load first input value that act as reference value for comparision */ + out = *pSrc++; + + blkCnt = (blockSize - 1U); + +#endif /* #if defined (ARM_MATH_DSP) */ + + while (blkCnt > 0U) + { + /* Initialize minVal to the next consecutive values one by one */ + minVal1 = *pSrc++; + + /* compare for the minimum value */ + if (out > minVal1) + { + /* Update the minimum value and it's index */ + out = minVal1; + outIndex = blockSize - blkCnt; + } + + /* Decrement the loop counter */ + blkCnt--; + } + + /* Store the minimum value and it's index into destination pointers */ + *pResult = out; + *pIndex = outIndex; +} + +/** + * @} end of Min group + */ diff --git a/fw/hid-dials/Drivers/CMSIS/DSP/Source/StatisticsFunctions/arm_min_q15.c b/fw/hid-dials/Drivers/CMSIS/DSP/Source/StatisticsFunctions/arm_min_q15.c new file mode 100644 index 0000000..aa7e424 --- /dev/null +++ b/fw/hid-dials/Drivers/CMSIS/DSP/Source/StatisticsFunctions/arm_min_q15.c @@ -0,0 +1,163 @@ +/* ---------------------------------------------------------------------- + * Project: CMSIS DSP Library + * Title: arm_min_q15.c + * Description: Minimum value of a Q15 vector + * + * $Date: 27. January 2017 + * $Revision: V.1.5.1 + * + * Target Processor: Cortex-M cores + * -------------------------------------------------------------------- */ +/* + * Copyright (C) 2010-2017 ARM Limited or its affiliates. All rights reserved. + * + * SPDX-License-Identifier: Apache-2.0 + * + * Licensed under the Apache License, Version 2.0 (the License); you may + * not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an AS IS BASIS, WITHOUT + * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ + +#include "arm_math.h" + +/** + * @ingroup groupStats + */ + + +/** + * @addtogroup Min + * @{ + */ + + +/** + * @brief Minimum value of a Q15 vector. + * @param[in] *pSrc points to the input vector + * @param[in] blockSize length of the input vector + * @param[out] *pResult minimum value returned here + * @param[out] *pIndex index of minimum value returned here + * @return none. + */ + +void arm_min_q15( + q15_t * pSrc, + uint32_t blockSize, + q15_t * pResult, + uint32_t * pIndex) +{ +#if defined (ARM_MATH_DSP) + /* Run the below code for Cortex-M4 and Cortex-M3 */ + + q15_t minVal1, minVal2, out; /* Temporary variables to store the output value. */ + uint32_t blkCnt, outIndex, count; /* loop counter */ + + /* Initialise the count value. */ + count = 0U; + /* Initialise the index value to zero. */ + outIndex = 0U; + /* Load first input value that act as reference value for comparision */ + out = *pSrc++; + + /* Loop unrolling */ + blkCnt = (blockSize - 1U) >> 2U; + + while (blkCnt > 0U) + { + /* Initialize minVal to the next consecutive values one by one */ + minVal1 = *pSrc++; + minVal2 = *pSrc++; + + /* compare for the minimum value */ + if (out > minVal1) + { + /* Update the minimum value and its index */ + out = minVal1; + outIndex = count + 1U; + } + + /* compare for the minimum value */ + if (out > minVal2) + { + /* Update the minimum value and its index */ + out = minVal2; + outIndex = count + 2U; + } + + /* Initialize minVal to the next consecutive values one by one */ + minVal1 = *pSrc++; + minVal2 = *pSrc++; + + /* compare for the minimum value */ + if (out > minVal1) + { + /* Update the minimum value and its index */ + out = minVal1; + outIndex = count + 3U; + } + + /* compare for the minimum value */ + if (out > minVal2) + { + /* Update the minimum value and its index */ + out = minVal2; + outIndex = count + 4U; + } + + count += 4U; + + /* Decrement the loop counter */ + blkCnt--; + } + + /* if (blockSize - 1U) is not multiple of 4 */ + blkCnt = (blockSize - 1U) % 4U; + +#else + /* Run the below code for Cortex-M0 */ + + q15_t minVal1, out; /* Temporary variables to store the output value. */ + uint32_t blkCnt, outIndex; /* loop counter */ + + /* Initialise the index value to zero. */ + outIndex = 0U; + /* Load first input value that act as reference value for comparision */ + out = *pSrc++; + + blkCnt = (blockSize - 1U); + +#endif /* #if defined (ARM_MATH_DSP) */ + + while (blkCnt > 0U) + { + /* Initialize minVal to the next consecutive values one by one */ + minVal1 = *pSrc++; + + /* compare for the minimum value */ + if (out > minVal1) + { + /* Update the minimum value and it's index */ + out = minVal1; + outIndex = blockSize - blkCnt; + } + + /* Decrement the loop counter */ + blkCnt--; + } + + /* Store the minimum value and it's index into destination pointers */ + *pResult = out; + *pIndex = outIndex; +} + +/** + * @} end of Min group + */ diff --git a/fw/hid-dials/Drivers/CMSIS/DSP/Source/StatisticsFunctions/arm_min_q31.c b/fw/hid-dials/Drivers/CMSIS/DSP/Source/StatisticsFunctions/arm_min_q31.c new file mode 100644 index 0000000..57dd195 --- /dev/null +++ b/fw/hid-dials/Drivers/CMSIS/DSP/Source/StatisticsFunctions/arm_min_q31.c @@ -0,0 +1,163 @@ +/* ---------------------------------------------------------------------- + * Project: CMSIS DSP Library + * Title: arm_min_q31.c + * Description: Minimum value of a Q31 vector + * + * $Date: 27. January 2017 + * $Revision: V.1.5.1 + * + * Target Processor: Cortex-M cores + * -------------------------------------------------------------------- */ +/* + * Copyright (C) 2010-2017 ARM Limited or its affiliates. All rights reserved. + * + * SPDX-License-Identifier: Apache-2.0 + * + * Licensed under the Apache License, Version 2.0 (the License); you may + * not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an AS IS BASIS, WITHOUT + * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ + +#include "arm_math.h" + +/** + * @ingroup groupStats + */ + + +/** + * @addtogroup Min + * @{ + */ + + +/** + * @brief Minimum value of a Q31 vector. + * @param[in] *pSrc points to the input vector + * @param[in] blockSize length of the input vector + * @param[out] *pResult minimum value returned here + * @param[out] *pIndex index of minimum value returned here + * @return none. + */ + +void arm_min_q31( + q31_t * pSrc, + uint32_t blockSize, + q31_t * pResult, + uint32_t * pIndex) +{ +#if defined (ARM_MATH_DSP) + /* Run the below code for Cortex-M4 and Cortex-M3 */ + + q31_t minVal1, minVal2, out; /* Temporary variables to store the output value. */ + uint32_t blkCnt, outIndex, count; /* loop counter */ + + /* Initialise the count value. */ + count = 0U; + /* Initialise the index value to zero. */ + outIndex = 0U; + /* Load first input value that act as reference value for comparision */ + out = *pSrc++; + + /* Loop unrolling */ + blkCnt = (blockSize - 1U) >> 2U; + + while (blkCnt > 0U) + { + /* Initialize minVal to the next consecutive values one by one */ + minVal1 = *pSrc++; + minVal2 = *pSrc++; + + /* compare for the minimum value */ + if (out > minVal1) + { + /* Update the minimum value and its index */ + out = minVal1; + outIndex = count + 1U; + } + + /* compare for the minimum value */ + if (out > minVal2) + { + /* Update the minimum value and its index */ + out = minVal2; + outIndex = count + 2U; + } + + /* Initialize minVal to the next consecutive values one by one */ + minVal1 = *pSrc++; + minVal2 = *pSrc++; + + /* compare for the minimum value */ + if (out > minVal1) + { + /* Update the minimum value and its index */ + out = minVal1; + outIndex = count + 3U; + } + + /* compare for the minimum value */ + if (out > minVal2) + { + /* Update the minimum value and its index */ + out = minVal2; + outIndex = count + 4U; + } + + count += 4U; + + /* Decrement the loop counter */ + blkCnt--; + } + + /* if (blockSize - 1U) is not multiple of 4 */ + blkCnt = (blockSize - 1U) % 4U; + +#else + /* Run the below code for Cortex-M0 */ + + q31_t minVal1, out; /* Temporary variables to store the output value. */ + uint32_t blkCnt, outIndex; /* loop counter */ + + /* Initialise the index value to zero. */ + outIndex = 0U; + /* Load first input value that act as reference value for comparision */ + out = *pSrc++; + + blkCnt = (blockSize - 1U); + +#endif /* #if defined (ARM_MATH_DSP) */ + + while (blkCnt > 0U) + { + /* Initialize minVal to the next consecutive values one by one */ + minVal1 = *pSrc++; + + /* compare for the minimum value */ + if (out > minVal1) + { + /* Update the minimum value and it's index */ + out = minVal1; + outIndex = blockSize - blkCnt; + } + + /* Decrement the loop counter */ + blkCnt--; + } + + /* Store the minimum value and it's index into destination pointers */ + *pResult = out; + *pIndex = outIndex; +} + +/** + * @} end of Min group + */ diff --git a/fw/hid-dials/Drivers/CMSIS/DSP/Source/StatisticsFunctions/arm_min_q7.c b/fw/hid-dials/Drivers/CMSIS/DSP/Source/StatisticsFunctions/arm_min_q7.c new file mode 100644 index 0000000..ac96603 --- /dev/null +++ b/fw/hid-dials/Drivers/CMSIS/DSP/Source/StatisticsFunctions/arm_min_q7.c @@ -0,0 +1,163 @@ +/* ---------------------------------------------------------------------- + * Project: CMSIS DSP Library + * Title: arm_min_q7.c + * Description: Minimum value of a Q7 vector + * + * $Date: 27. January 2017 + * $Revision: V.1.5.1 + * + * Target Processor: Cortex-M cores + * -------------------------------------------------------------------- */ +/* + * Copyright (C) 2010-2017 ARM Limited or its affiliates. All rights reserved. + * + * SPDX-License-Identifier: Apache-2.0 + * + * Licensed under the Apache License, Version 2.0 (the License); you may + * not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an AS IS BASIS, WITHOUT + * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ + +#include "arm_math.h" + +/** + * @ingroup groupStats + */ + + +/** + * @addtogroup Min + * @{ + */ + + +/** + * @brief Minimum value of a Q7 vector. + * @param[in] *pSrc points to the input vector + * @param[in] blockSize length of the input vector + * @param[out] *pResult minimum value returned here + * @param[out] *pIndex index of minimum value returned here + * @return none. + */ + +void arm_min_q7( + q7_t * pSrc, + uint32_t blockSize, + q7_t * pResult, + uint32_t * pIndex) +{ +#if defined (ARM_MATH_DSP) + /* Run the below code for Cortex-M4 and Cortex-M3 */ + + q7_t minVal1, minVal2, out; /* Temporary variables to store the output value. */ + uint32_t blkCnt, outIndex, count; /* loop counter */ + + /* Initialise the count value. */ + count = 0U; + /* Initialise the index value to zero. */ + outIndex = 0U; + /* Load first input value that act as reference value for comparision */ + out = *pSrc++; + + /* Loop unrolling */ + blkCnt = (blockSize - 1U) >> 2U; + + while (blkCnt > 0U) + { + /* Initialize minVal to the next consecutive values one by one */ + minVal1 = *pSrc++; + minVal2 = *pSrc++; + + /* compare for the minimum value */ + if (out > minVal1) + { + /* Update the minimum value and its index */ + out = minVal1; + outIndex = count + 1U; + } + + /* compare for the minimum value */ + if (out > minVal2) + { + /* Update the minimum value and its index */ + out = minVal2; + outIndex = count + 2U; + } + + /* Initialize minVal to the next consecutive values one by one */ + minVal1 = *pSrc++; + minVal2 = *pSrc++; + + /* compare for the minimum value */ + if (out > minVal1) + { + /* Update the minimum value and its index */ + out = minVal1; + outIndex = count + 3U; + } + + /* compare for the minimum value */ + if (out > minVal2) + { + /* Update the minimum value and its index */ + out = minVal2; + outIndex = count + 4U; + } + + count += 4U; + + /* Decrement the loop counter */ + blkCnt--; + } + + /* if (blockSize - 1U) is not multiple of 4 */ + blkCnt = (blockSize - 1U) % 4U; + +#else + /* Run the below code for Cortex-M0 */ + + q7_t minVal1, out; /* Temporary variables to store the output value. */ + uint32_t blkCnt, outIndex; /* loop counter */ + + /* Initialise the index value to zero. */ + outIndex = 0U; + /* Load first input value that act as reference value for comparision */ + out = *pSrc++; + + blkCnt = (blockSize - 1U); + +#endif /* #if defined (ARM_MATH_DSP) */ + + while (blkCnt > 0U) + { + /* Initialize minVal to the next consecutive values one by one */ + minVal1 = *pSrc++; + + /* compare for the minimum value */ + if (out > minVal1) + { + /* Update the minimum value and it's index */ + out = minVal1; + outIndex = blockSize - blkCnt; + } + + /* Decrement the loop counter */ + blkCnt--; + } + + /* Store the minimum value and it's index into destination pointers */ + *pResult = out; + *pIndex = outIndex; +} + +/** + * @} end of Min group + */ diff --git a/fw/hid-dials/Drivers/CMSIS/DSP/Source/StatisticsFunctions/arm_power_f32.c b/fw/hid-dials/Drivers/CMSIS/DSP/Source/StatisticsFunctions/arm_power_f32.c new file mode 100644 index 0000000..bfe4dd3 --- /dev/null +++ b/fw/hid-dials/Drivers/CMSIS/DSP/Source/StatisticsFunctions/arm_power_f32.c @@ -0,0 +1,129 @@ +/* ---------------------------------------------------------------------- + * Project: CMSIS DSP Library + * Title: arm_power_f32.c + * Description: Sum of the squares of the elements of a floating-point vector + * + * $Date: 27. January 2017 + * $Revision: V.1.5.1 + * + * Target Processor: Cortex-M cores + * -------------------------------------------------------------------- */ +/* + * Copyright (C) 2010-2017 ARM Limited or its affiliates. All rights reserved. + * + * SPDX-License-Identifier: Apache-2.0 + * + * Licensed under the Apache License, Version 2.0 (the License); you may + * not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an AS IS BASIS, WITHOUT + * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ + +#include "arm_math.h" + +/** + * @ingroup groupStats + */ + +/** + * @defgroup power Power + * + * Calculates the sum of the squares of the elements in the input vector. + * The underlying algorithm is used: + * + *
+ * 	Result = pSrc[0] * pSrc[0] + pSrc[1] * pSrc[1] + pSrc[2] * pSrc[2] + ... + pSrc[blockSize-1] * pSrc[blockSize-1];
+ * 
+ * + * There are separate functions for floating point, Q31, Q15, and Q7 data types. + */ + +/** + * @addtogroup power + * @{ + */ + + +/** + * @brief Sum of the squares of the elements of a floating-point vector. + * @param[in] *pSrc points to the input vector + * @param[in] blockSize length of the input vector + * @param[out] *pResult sum of the squares value returned here + * @return none. + * + */ + + +void arm_power_f32( + float32_t * pSrc, + uint32_t blockSize, + float32_t * pResult) +{ + float32_t sum = 0.0f; /* accumulator */ + float32_t in; /* Temporary variable to store input value */ + uint32_t blkCnt; /* loop counter */ + +#if defined (ARM_MATH_DSP) + /* Run the below code for Cortex-M4 and Cortex-M3 */ + + /*loop Unrolling */ + blkCnt = blockSize >> 2U; + + /* First part of the processing with loop unrolling. Compute 4 outputs at a time. + ** a second loop below computes the remaining 1 to 3 samples. */ + while (blkCnt > 0U) + { + /* C = A[0] * A[0] + A[1] * A[1] + A[2] * A[2] + ... + A[blockSize-1] * A[blockSize-1] */ + /* Compute Power and then store the result in a temporary variable, sum. */ + in = *pSrc++; + sum += in * in; + in = *pSrc++; + sum += in * in; + in = *pSrc++; + sum += in * in; + in = *pSrc++; + sum += in * in; + + /* Decrement the loop counter */ + blkCnt--; + } + + /* If the blockSize is not a multiple of 4, compute any remaining output samples here. + ** No loop unrolling is used. */ + blkCnt = blockSize % 0x4U; + + +#else + /* Run the below code for Cortex-M0 */ + + /* Loop over blockSize number of values */ + blkCnt = blockSize; + +#endif /* #if defined (ARM_MATH_DSP) */ + + + while (blkCnt > 0U) + { + /* C = A[0] * A[0] + A[1] * A[1] + A[2] * A[2] + ... + A[blockSize-1] * A[blockSize-1] */ + /* compute power and then store the result in a temporary variable, sum. */ + in = *pSrc++; + sum += in * in; + + /* Decrement the loop counter */ + blkCnt--; + } + + /* Store the result to the destination */ + *pResult = sum; +} + +/** + * @} end of power group + */ diff --git a/fw/hid-dials/Drivers/CMSIS/DSP/Source/StatisticsFunctions/arm_power_q15.c b/fw/hid-dials/Drivers/CMSIS/DSP/Source/StatisticsFunctions/arm_power_q15.c new file mode 100644 index 0000000..fbe73d1 --- /dev/null +++ b/fw/hid-dials/Drivers/CMSIS/DSP/Source/StatisticsFunctions/arm_power_q15.c @@ -0,0 +1,138 @@ +/* ---------------------------------------------------------------------- + * Project: CMSIS DSP Library + * Title: arm_power_q15.c + * Description: Sum of the squares of the elements of a Q15 vector + * + * $Date: 27. January 2017 + * $Revision: V.1.5.1 + * + * Target Processor: Cortex-M cores + * -------------------------------------------------------------------- */ +/* + * Copyright (C) 2010-2017 ARM Limited or its affiliates. All rights reserved. + * + * SPDX-License-Identifier: Apache-2.0 + * + * Licensed under the Apache License, Version 2.0 (the License); you may + * not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an AS IS BASIS, WITHOUT + * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ + +#include "arm_math.h" + +/** + * @ingroup groupStats + */ + +/** + * @addtogroup power + * @{ + */ + +/** + * @brief Sum of the squares of the elements of a Q15 vector. + * @param[in] *pSrc points to the input vector + * @param[in] blockSize length of the input vector + * @param[out] *pResult sum of the squares value returned here + * @return none. + * + * @details + * Scaling and Overflow Behavior: + * + * \par + * The function is implemented using a 64-bit internal accumulator. + * The input is represented in 1.15 format. + * Intermediate multiplication yields a 2.30 format, and this + * result is added without saturation to a 64-bit accumulator in 34.30 format. + * With 33 guard bits in the accumulator, there is no risk of overflow, and the + * full precision of the intermediate multiplication is preserved. + * Finally, the return result is in 34.30 format. + * + */ + +void arm_power_q15( + q15_t * pSrc, + uint32_t blockSize, + q63_t * pResult) +{ + q63_t sum = 0; /* Temporary result storage */ + +#if defined (ARM_MATH_DSP) + /* Run the below code for Cortex-M4 and Cortex-M3 */ + + q31_t in32; /* Temporary variable to store input value */ + q15_t in16; /* Temporary variable to store input value */ + uint32_t blkCnt; /* loop counter */ + + + /* loop Unrolling */ + blkCnt = blockSize >> 2U; + + /* First part of the processing with loop unrolling. Compute 4 outputs at a time. + ** a second loop below computes the remaining 1 to 3 samples. */ + while (blkCnt > 0U) + { + /* C = A[0] * A[0] + A[1] * A[1] + A[2] * A[2] + ... + A[blockSize-1] * A[blockSize-1] */ + /* Compute Power and then store the result in a temporary variable, sum. */ + in32 = *__SIMD32(pSrc)++; + sum = __SMLALD(in32, in32, sum); + in32 = *__SIMD32(pSrc)++; + sum = __SMLALD(in32, in32, sum); + + /* Decrement the loop counter */ + blkCnt--; + } + + /* If the blockSize is not a multiple of 4, compute any remaining output samples here. + ** No loop unrolling is used. */ + blkCnt = blockSize % 0x4U; + + while (blkCnt > 0U) + { + /* C = A[0] * A[0] + A[1] * A[1] + A[2] * A[2] + ... + A[blockSize-1] * A[blockSize-1] */ + /* Compute Power and then store the result in a temporary variable, sum. */ + in16 = *pSrc++; + sum = __SMLALD(in16, in16, sum); + + /* Decrement the loop counter */ + blkCnt--; + } + +#else + /* Run the below code for Cortex-M0 */ + + q15_t in; /* Temporary variable to store input value */ + uint32_t blkCnt; /* loop counter */ + + + /* Loop over blockSize number of values */ + blkCnt = blockSize; + + while (blkCnt > 0U) + { + /* C = A[0] * A[0] + A[1] * A[1] + A[2] * A[2] + ... + A[blockSize-1] * A[blockSize-1] */ + /* Compute Power and then store the result in a temporary variable, sum. */ + in = *pSrc++; + sum += ((q31_t) in * in); + + /* Decrement the loop counter */ + blkCnt--; + } + +#endif /* #if defined (ARM_MATH_DSP) */ + + /* Store the results in 34.30 format */ + *pResult = sum; +} + +/** + * @} end of power group + */ diff --git a/fw/hid-dials/Drivers/CMSIS/DSP/Source/StatisticsFunctions/arm_power_q31.c b/fw/hid-dials/Drivers/CMSIS/DSP/Source/StatisticsFunctions/arm_power_q31.c new file mode 100644 index 0000000..498face --- /dev/null +++ b/fw/hid-dials/Drivers/CMSIS/DSP/Source/StatisticsFunctions/arm_power_q31.c @@ -0,0 +1,129 @@ +/* ---------------------------------------------------------------------- + * Project: CMSIS DSP Library + * Title: arm_power_q31.c + * Description: Sum of the squares of the elements of a Q31 vector + * + * $Date: 27. January 2017 + * $Revision: V.1.5.1 + * + * Target Processor: Cortex-M cores + * -------------------------------------------------------------------- */ +/* + * Copyright (C) 2010-2017 ARM Limited or its affiliates. All rights reserved. + * + * SPDX-License-Identifier: Apache-2.0 + * + * Licensed under the Apache License, Version 2.0 (the License); you may + * not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an AS IS BASIS, WITHOUT + * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ + +#include "arm_math.h" + +/** + * @ingroup groupStats + */ + +/** + * @addtogroup power + * @{ + */ + +/** + * @brief Sum of the squares of the elements of a Q31 vector. + * @param[in] *pSrc points to the input vector + * @param[in] blockSize length of the input vector + * @param[out] *pResult sum of the squares value returned here + * @return none. + * + * @details + * Scaling and Overflow Behavior: + * + * \par + * The function is implemented using a 64-bit internal accumulator. + * The input is represented in 1.31 format. + * Intermediate multiplication yields a 2.62 format, and this + * result is truncated to 2.48 format by discarding the lower 14 bits. + * The 2.48 result is then added without saturation to a 64-bit accumulator in 16.48 format. + * With 15 guard bits in the accumulator, there is no risk of overflow, and the + * full precision of the intermediate multiplication is preserved. + * Finally, the return result is in 16.48 format. + * + */ + +void arm_power_q31( + q31_t * pSrc, + uint32_t blockSize, + q63_t * pResult) +{ + q63_t sum = 0; /* Temporary result storage */ + q31_t in; + uint32_t blkCnt; /* loop counter */ + + +#if defined (ARM_MATH_DSP) + /* Run the below code for Cortex-M4 and Cortex-M3 */ + + /*loop Unrolling */ + blkCnt = blockSize >> 2U; + + /* First part of the processing with loop unrolling. Compute 4 outputs at a time. + ** a second loop below computes the remaining 1 to 3 samples. */ + while (blkCnt > 0U) + { + /* C = A[0] * A[0] + A[1] * A[1] + A[2] * A[2] + ... + A[blockSize-1] * A[blockSize-1] */ + /* Compute Power then shift intermediate results by 14 bits to maintain 16.48 format and then store the result in a temporary variable sum, providing 15 guard bits. */ + in = *pSrc++; + sum += ((q63_t) in * in) >> 14U; + + in = *pSrc++; + sum += ((q63_t) in * in) >> 14U; + + in = *pSrc++; + sum += ((q63_t) in * in) >> 14U; + + in = *pSrc++; + sum += ((q63_t) in * in) >> 14U; + + /* Decrement the loop counter */ + blkCnt--; + } + + /* If the blockSize is not a multiple of 4, compute any remaining output samples here. + ** No loop unrolling is used. */ + blkCnt = blockSize % 0x4U; + +#else + /* Run the below code for Cortex-M0 */ + + /* Loop over blockSize number of values */ + blkCnt = blockSize; + +#endif /* #if defined (ARM_MATH_DSP) */ + + while (blkCnt > 0U) + { + /* C = A[0] * A[0] + A[1] * A[1] + A[2] * A[2] + ... + A[blockSize-1] * A[blockSize-1] */ + /* Compute Power and then store the result in a temporary variable, sum. */ + in = *pSrc++; + sum += ((q63_t) in * in) >> 14U; + + /* Decrement the loop counter */ + blkCnt--; + } + + /* Store the results in 16.48 format */ + *pResult = sum; +} + +/** + * @} end of power group + */ diff --git a/fw/hid-dials/Drivers/CMSIS/DSP/Source/StatisticsFunctions/arm_power_q7.c b/fw/hid-dials/Drivers/CMSIS/DSP/Source/StatisticsFunctions/arm_power_q7.c new file mode 100644 index 0000000..3b8335a --- /dev/null +++ b/fw/hid-dials/Drivers/CMSIS/DSP/Source/StatisticsFunctions/arm_power_q7.c @@ -0,0 +1,127 @@ +/* ---------------------------------------------------------------------- + * Project: CMSIS DSP Library + * Title: arm_power_q7.c + * Description: Sum of the squares of the elements of a Q7 vector + * + * $Date: 27. January 2017 + * $Revision: V.1.5.1 + * + * Target Processor: Cortex-M cores + * -------------------------------------------------------------------- */ +/* + * Copyright (C) 2010-2017 ARM Limited or its affiliates. All rights reserved. + * + * SPDX-License-Identifier: Apache-2.0 + * + * Licensed under the Apache License, Version 2.0 (the License); you may + * not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an AS IS BASIS, WITHOUT + * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ + +#include "arm_math.h" + +/** + * @ingroup groupStats + */ + +/** + * @addtogroup power + * @{ + */ + +/** + * @brief Sum of the squares of the elements of a Q7 vector. + * @param[in] *pSrc points to the input vector + * @param[in] blockSize length of the input vector + * @param[out] *pResult sum of the squares value returned here + * @return none. + * + * @details + * Scaling and Overflow Behavior: + * + * \par + * The function is implemented using a 32-bit internal accumulator. + * The input is represented in 1.7 format. + * Intermediate multiplication yields a 2.14 format, and this + * result is added without saturation to an accumulator in 18.14 format. + * With 17 guard bits in the accumulator, there is no risk of overflow, and the + * full precision of the intermediate multiplication is preserved. + * Finally, the return result is in 18.14 format. + * + */ + +void arm_power_q7( + q7_t * pSrc, + uint32_t blockSize, + q31_t * pResult) +{ + q31_t sum = 0; /* Temporary result storage */ + q7_t in; /* Temporary variable to store input */ + uint32_t blkCnt; /* loop counter */ + +#if defined (ARM_MATH_DSP) + /* Run the below code for Cortex-M4 and Cortex-M3 */ + + q31_t input1; /* Temporary variable to store packed input */ + q31_t in1, in2; /* Temporary variables to store input */ + + /*loop Unrolling */ + blkCnt = blockSize >> 2U; + + /* First part of the processing with loop unrolling. Compute 4 outputs at a time. + ** a second loop below computes the remaining 1 to 3 samples. */ + while (blkCnt > 0U) + { + /* Reading two inputs of pSrc vector and packing */ + input1 = *__SIMD32(pSrc)++; + + in1 = __SXTB16(__ROR(input1, 8)); + in2 = __SXTB16(input1); + + /* C = A[0] * A[0] + A[1] * A[1] + A[2] * A[2] + ... + A[blockSize-1] * A[blockSize-1] */ + /* calculate power and accumulate to accumulator */ + sum = __SMLAD(in1, in1, sum); + sum = __SMLAD(in2, in2, sum); + + /* Decrement the loop counter */ + blkCnt--; + } + + /* If the blockSize is not a multiple of 4, compute any remaining output samples here. + ** No loop unrolling is used. */ + blkCnt = blockSize % 0x4U; + +#else + /* Run the below code for Cortex-M0 */ + + /* Loop over blockSize number of values */ + blkCnt = blockSize; + +#endif /* #if defined (ARM_MATH_DSP) */ + + while (blkCnt > 0U) + { + /* C = A[0] * A[0] + A[1] * A[1] + A[2] * A[2] + ... + A[blockSize-1] * A[blockSize-1] */ + /* Compute Power and then store the result in a temporary variable, sum. */ + in = *pSrc++; + sum += ((q15_t) in * in); + + /* Decrement the loop counter */ + blkCnt--; + } + + /* Store the result in 18.14 format */ + *pResult = sum; +} + +/** + * @} end of power group + */ diff --git a/fw/hid-dials/Drivers/CMSIS/DSP/Source/StatisticsFunctions/arm_rms_f32.c b/fw/hid-dials/Drivers/CMSIS/DSP/Source/StatisticsFunctions/arm_rms_f32.c new file mode 100644 index 0000000..3089d40 --- /dev/null +++ b/fw/hid-dials/Drivers/CMSIS/DSP/Source/StatisticsFunctions/arm_rms_f32.c @@ -0,0 +1,127 @@ +/* ---------------------------------------------------------------------- + * Project: CMSIS DSP Library + * Title: arm_rms_f32.c + * Description: Root mean square value of an array of F32 type + * + * $Date: 27. January 2017 + * $Revision: V.1.5.1 + * + * Target Processor: Cortex-M cores + * -------------------------------------------------------------------- */ +/* + * Copyright (C) 2010-2017 ARM Limited or its affiliates. All rights reserved. + * + * SPDX-License-Identifier: Apache-2.0 + * + * Licensed under the Apache License, Version 2.0 (the License); you may + * not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an AS IS BASIS, WITHOUT + * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ + +#include "arm_math.h" + +/** + * @ingroup groupStats + */ + +/** + * @defgroup RMS Root mean square (RMS) + * + * + * Calculates the Root Mean Sqaure of the elements in the input vector. + * The underlying algorithm is used: + * + *
+ * 	Result = sqrt(((pSrc[0] * pSrc[0] + pSrc[1] * pSrc[1] + ... + pSrc[blockSize-1] * pSrc[blockSize-1]) / blockSize));
+ * 
+ * + * There are separate functions for floating point, Q31, and Q15 data types. + */ + +/** + * @addtogroup RMS + * @{ + */ + + +/** + * @brief Root Mean Square of the elements of a floating-point vector. + * @param[in] *pSrc points to the input vector + * @param[in] blockSize length of the input vector + * @param[out] *pResult rms value returned here + * @return none. + * + */ + +void arm_rms_f32( + float32_t * pSrc, + uint32_t blockSize, + float32_t * pResult) +{ + float32_t sum = 0.0f; /* Accumulator */ + float32_t in; /* Tempoprary variable to store input value */ + uint32_t blkCnt; /* loop counter */ + +#if defined (ARM_MATH_DSP) + /* Run the below code for Cortex-M4 and Cortex-M3 */ + + /* loop Unrolling */ + blkCnt = blockSize >> 2U; + + /* First part of the processing with loop unrolling. Compute 4 outputs at a time. + ** a second loop below computes the remaining 1 to 3 samples. */ + while (blkCnt > 0U) + { + /* C = A[0] * A[0] + A[1] * A[1] + A[2] * A[2] + ... + A[blockSize-1] * A[blockSize-1] */ + /* Compute sum of the squares and then store the result in a temporary variable, sum */ + in = *pSrc++; + sum += in * in; + in = *pSrc++; + sum += in * in; + in = *pSrc++; + sum += in * in; + in = *pSrc++; + sum += in * in; + + /* Decrement the loop counter */ + blkCnt--; + } + + /* If the blockSize is not a multiple of 4, compute any remaining output samples here. + ** No loop unrolling is used. */ + blkCnt = blockSize % 0x4U; + +#else + /* Run the below code for Cortex-M0 */ + + /* Loop over blockSize number of values */ + blkCnt = blockSize; + +#endif /* #if defined (ARM_MATH_DSP) */ + + while (blkCnt > 0U) + { + /* C = A[0] * A[0] + A[1] * A[1] + A[2] * A[2] + ... + A[blockSize-1] * A[blockSize-1] */ + /* Compute sum of the squares and then store the results in a temporary variable, sum */ + in = *pSrc++; + sum += in * in; + + /* Decrement the loop counter */ + blkCnt--; + } + + /* Compute Rms and store the result in the destination */ + arm_sqrt_f32(sum / (float32_t) blockSize, pResult); +} + +/** + * @} end of RMS group + */ diff --git a/fw/hid-dials/Drivers/CMSIS/DSP/Source/StatisticsFunctions/arm_rms_q15.c b/fw/hid-dials/Drivers/CMSIS/DSP/Source/StatisticsFunctions/arm_rms_q15.c new file mode 100644 index 0000000..7cc2e12 --- /dev/null +++ b/fw/hid-dials/Drivers/CMSIS/DSP/Source/StatisticsFunctions/arm_rms_q15.c @@ -0,0 +1,139 @@ +/* ---------------------------------------------------------------------- + * Project: CMSIS DSP Library + * Title: arm_rms_q15.c + * Description: Root Mean Square of the elements of a Q15 vector + * + * $Date: 27. January 2017 + * $Revision: V.1.5.1 + * + * Target Processor: Cortex-M cores + * -------------------------------------------------------------------- */ +/* + * Copyright (C) 2010-2017 ARM Limited or its affiliates. All rights reserved. + * + * SPDX-License-Identifier: Apache-2.0 + * + * Licensed under the Apache License, Version 2.0 (the License); you may + * not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an AS IS BASIS, WITHOUT + * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ + +#include "arm_math.h" + +/** + * @addtogroup RMS + * @{ + */ + +/** + * @brief Root Mean Square of the elements of a Q15 vector. + * @param[in] *pSrc points to the input vector + * @param[in] blockSize length of the input vector + * @param[out] *pResult rms value returned here + * @return none. + * + * @details + * Scaling and Overflow Behavior: + * + * \par + * The function is implemented using a 64-bit internal accumulator. + * The input is represented in 1.15 format. + * Intermediate multiplication yields a 2.30 format, and this + * result is added without saturation to a 64-bit accumulator in 34.30 format. + * With 33 guard bits in the accumulator, there is no risk of overflow, and the + * full precision of the intermediate multiplication is preserved. + * Finally, the 34.30 result is truncated to 34.15 format by discarding the lower + * 15 bits, and then saturated to yield a result in 1.15 format. + * + */ + +void arm_rms_q15( + q15_t * pSrc, + uint32_t blockSize, + q15_t * pResult) +{ + q63_t sum = 0; /* accumulator */ + +#if defined (ARM_MATH_DSP) + /* Run the below code for Cortex-M4 and Cortex-M3 */ + + q31_t in; /* temporary variable to store the input value */ + q15_t in1; /* temporary variable to store the input value */ + uint32_t blkCnt; /* loop counter */ + + /* loop Unrolling */ + blkCnt = blockSize >> 2U; + + /* First part of the processing with loop unrolling. Compute 4 outputs at a time. + ** a second loop below computes the remaining 1 to 3 samples. */ + while (blkCnt > 0U) + { + /* C = (A[0] * A[0] + A[1] * A[1] + ... + A[blockSize-1] * A[blockSize-1]) */ + /* Compute sum of the squares and then store the results in a temporary variable, sum */ + in = *__SIMD32(pSrc)++; + sum = __SMLALD(in, in, sum); + in = *__SIMD32(pSrc)++; + sum = __SMLALD(in, in, sum); + + /* Decrement the loop counter */ + blkCnt--; + } + + /* If the blockSize is not a multiple of 4, compute any remaining output samples here. + ** No loop unrolling is used. */ + blkCnt = blockSize % 0x4U; + + while (blkCnt > 0U) + { + /* C = (A[0] * A[0] + A[1] * A[1] + ... + A[blockSize-1] * A[blockSize-1]) */ + /* Compute sum of the squares and then store the results in a temporary variable, sum */ + in1 = *pSrc++; + sum = __SMLALD(in1, in1, sum); + + /* Decrement the loop counter */ + blkCnt--; + } + + /* Truncating and saturating the accumulator to 1.15 format */ + /* Store the result in the destination */ + arm_sqrt_q15(__SSAT((sum / (q63_t)blockSize) >> 15, 16), pResult); + +#else + /* Run the below code for Cortex-M0 */ + + q15_t in; /* temporary variable to store the input value */ + uint32_t blkCnt; /* loop counter */ + + /* Loop over blockSize number of values */ + blkCnt = blockSize; + + while (blkCnt > 0U) + { + /* C = (A[0] * A[0] + A[1] * A[1] + ... + A[blockSize-1] * A[blockSize-1]) */ + /* Compute sum of the squares and then store the results in a temporary variable, sum */ + in = *pSrc++; + sum += ((q31_t) in * in); + + /* Decrement the loop counter */ + blkCnt--; + } + + /* Truncating and saturating the accumulator to 1.15 format */ + /* Store the result in the destination */ + arm_sqrt_q15(__SSAT((sum / (q63_t)blockSize) >> 15, 16), pResult); + +#endif /* #if defined (ARM_MATH_DSP) */ + +} + +/** + * @} end of RMS group + */ diff --git a/fw/hid-dials/Drivers/CMSIS/DSP/Source/StatisticsFunctions/arm_rms_q31.c b/fw/hid-dials/Drivers/CMSIS/DSP/Source/StatisticsFunctions/arm_rms_q31.c new file mode 100644 index 0000000..7cb9149 --- /dev/null +++ b/fw/hid-dials/Drivers/CMSIS/DSP/Source/StatisticsFunctions/arm_rms_q31.c @@ -0,0 +1,137 @@ +/* ---------------------------------------------------------------------- + * Project: CMSIS DSP Library + * Title: arm_rms_q31.c + * Description: Root Mean Square of the elements of a Q31 vector + * + * $Date: 27. January 2017 + * $Revision: V.1.5.1 + * + * Target Processor: Cortex-M cores + * -------------------------------------------------------------------- */ +/* + * Copyright (C) 2010-2017 ARM Limited or its affiliates. All rights reserved. + * + * SPDX-License-Identifier: Apache-2.0 + * + * Licensed under the Apache License, Version 2.0 (the License); you may + * not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an AS IS BASIS, WITHOUT + * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ + +#include "arm_math.h" + +/** + * @addtogroup RMS + * @{ + */ + + +/** + * @brief Root Mean Square of the elements of a Q31 vector. + * @param[in] *pSrc points to the input vector + * @param[in] blockSize length of the input vector + * @param[out] *pResult rms value returned here + * @return none. + * + * @details + * Scaling and Overflow Behavior: + * + *\par + * The function is implemented using an internal 64-bit accumulator. + * The input is represented in 1.31 format, and intermediate multiplication + * yields a 2.62 format. + * The accumulator maintains full precision of the intermediate multiplication results, + * but provides only a single guard bit. + * There is no saturation on intermediate additions. + * If the accumulator overflows, it wraps around and distorts the result. + * In order to avoid overflows completely, the input signal must be scaled down by + * log2(blockSize) bits, as a total of blockSize additions are performed internally. + * Finally, the 2.62 accumulator is right shifted by 31 bits to yield a 1.31 format value. + * + */ + +void arm_rms_q31( + q31_t * pSrc, + uint32_t blockSize, + q31_t * pResult) +{ + q63_t sum = 0; /* accumulator */ + q31_t in; /* Temporary variable to store the input */ + uint32_t blkCnt; /* loop counter */ + +#if defined (ARM_MATH_DSP) + /* Run the below code for Cortex-M4 and Cortex-M3 */ + + q31_t in1, in2, in3, in4; /* Temporary input variables */ + + /*loop Unrolling */ + blkCnt = blockSize >> 2U; + + /* First part of the processing with loop unrolling. Compute 8 outputs at a time. + ** a second loop below computes the remaining 1 to 7 samples. */ + while (blkCnt > 0U) + { + /* C = A[0] * A[0] + A[1] * A[1] + A[2] * A[2] + ... + A[blockSize-1] * A[blockSize-1] */ + /* Compute sum of the squares and then store the result in a temporary variable, sum */ + /* read two samples from source buffer */ + in1 = pSrc[0]; + in2 = pSrc[1]; + + /* calculate power and accumulate to accumulator */ + sum += (q63_t) in1 *in1; + sum += (q63_t) in2 *in2; + + /* read two samples from source buffer */ + in3 = pSrc[2]; + in4 = pSrc[3]; + + /* calculate power and accumulate to accumulator */ + sum += (q63_t) in3 *in3; + sum += (q63_t) in4 *in4; + + + /* update source buffer to process next samples */ + pSrc += 4U; + + /* Decrement the loop counter */ + blkCnt--; + } + + /* If the blockSize is not a multiple of 8, compute any remaining output samples here. + ** No loop unrolling is used. */ + blkCnt = blockSize % 0x4U; + +#else + /* Run the below code for Cortex-M0 */ + + blkCnt = blockSize; + +#endif /* #if defined (ARM_MATH_DSP) */ + + while (blkCnt > 0U) + { + /* C = A[0] * A[0] + A[1] * A[1] + A[2] * A[2] + ... + A[blockSize-1] * A[blockSize-1] */ + /* Compute sum of the squares and then store the results in a temporary variable, sum */ + in = *pSrc++; + sum += (q63_t) in *in; + + /* Decrement the loop counter */ + blkCnt--; + } + + /* Convert data in 2.62 to 1.31 by 31 right shifts and saturate */ + /* Compute Rms and store the result in the destination vector */ + arm_sqrt_q31(clip_q63_to_q31((sum / (q63_t) blockSize) >> 31), pResult); +} + +/** + * @} end of RMS group + */ diff --git a/fw/hid-dials/Drivers/CMSIS/DSP/Source/StatisticsFunctions/arm_std_f32.c b/fw/hid-dials/Drivers/CMSIS/DSP/Source/StatisticsFunctions/arm_std_f32.c new file mode 100644 index 0000000..e082fc6 --- /dev/null +++ b/fw/hid-dials/Drivers/CMSIS/DSP/Source/StatisticsFunctions/arm_std_f32.c @@ -0,0 +1,186 @@ +/* ---------------------------------------------------------------------- + * Project: CMSIS DSP Library + * Title: arm_std_f32.c + * Description: Standard deviation of the elements of a floating-point vector + * + * $Date: 27. January 2017 + * $Revision: V.1.5.1 + * + * Target Processor: Cortex-M cores + * -------------------------------------------------------------------- */ +/* + * Copyright (C) 2010-2017 ARM Limited or its affiliates. All rights reserved. + * + * SPDX-License-Identifier: Apache-2.0 + * + * Licensed under the Apache License, Version 2.0 (the License); you may + * not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an AS IS BASIS, WITHOUT + * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ + +#include "arm_math.h" + +/** + * @ingroup groupStats + */ + +/** + * @defgroup STD Standard deviation + * + * Calculates the standard deviation of the elements in the input vector. + * The underlying algorithm is used: + * + *
+ *   Result = sqrt((sumOfSquares - sum2 / blockSize) / (blockSize - 1))
+ *
+ *     where, sumOfSquares = pSrc[0] * pSrc[0] + pSrc[1] * pSrc[1] + ... + pSrc[blockSize-1] * pSrc[blockSize-1]
+ *
+ *                     sum = pSrc[0] + pSrc[1] + pSrc[2] + ... + pSrc[blockSize-1]
+ * 
+ * + * There are separate functions for floating point, Q31, and Q15 data types. + */ + +/** + * @addtogroup STD + * @{ + */ + + +/** + * @brief Standard deviation of the elements of a floating-point vector. + * @param[in] *pSrc points to the input vector + * @param[in] blockSize length of the input vector + * @param[out] *pResult standard deviation value returned here + * @return none. + */ + +void arm_std_f32( + float32_t * pSrc, + uint32_t blockSize, + float32_t * pResult) +{ + float32_t sum = 0.0f; /* Temporary result storage */ + float32_t sumOfSquares = 0.0f; /* Sum of squares */ + float32_t in; /* input value */ + uint32_t blkCnt; /* loop counter */ +#if defined (ARM_MATH_DSP) + float32_t meanOfSquares, mean, squareOfMean; /* Temporary variables */ +#else + float32_t squareOfSum; /* Square of Sum */ + float32_t var; /* Temporary varaince storage */ +#endif + + if (blockSize == 1U) + { + *pResult = 0; + return; + } + +#if defined (ARM_MATH_DSP) + /* Run the below code for Cortex-M4 and Cortex-M3 */ + + /*loop Unrolling */ + blkCnt = blockSize >> 2U; + + /* First part of the processing with loop unrolling. Compute 4 outputs at a time. + ** a second loop below computes the remaining 1 to 3 samples. */ + while (blkCnt > 0U) + { + /* C = (A[0] * A[0] + A[1] * A[1] + ... + A[blockSize-1] * A[blockSize-1]) */ + /* Compute Sum of squares of the input samples + * and then store the result in a temporary variable, sum. */ + in = *pSrc++; + sum += in; + sumOfSquares += in * in; + in = *pSrc++; + sum += in; + sumOfSquares += in * in; + in = *pSrc++; + sum += in; + sumOfSquares += in * in; + in = *pSrc++; + sum += in; + sumOfSquares += in * in; + + /* Decrement the loop counter */ + blkCnt--; + } + + /* If the blockSize is not a multiple of 4, compute any remaining output samples here. + ** No loop unrolling is used. */ + blkCnt = blockSize % 0x4U; + + while (blkCnt > 0U) + { + /* C = (A[0] * A[0] + A[1] * A[1] + ... + A[blockSize-1] * A[blockSize-1]) */ + /* Compute Sum of squares of the input samples + * and then store the result in a temporary variable, sum. */ + in = *pSrc++; + sum += in; + sumOfSquares += in * in; + + /* Decrement the loop counter */ + blkCnt--; + } + + /* Compute Mean of squares of the input samples + * and then store the result in a temporary variable, meanOfSquares. */ + meanOfSquares = sumOfSquares / ((float32_t) blockSize - 1.0f); + + /* Compute mean of all input values */ + mean = sum / (float32_t) blockSize; + + /* Compute square of mean */ + squareOfMean = (mean * mean) * (((float32_t) blockSize) / + ((float32_t) blockSize - 1.0f)); + + /* Compute standard deviation and then store the result to the destination */ + arm_sqrt_f32((meanOfSquares - squareOfMean), pResult); + +#else + /* Run the below code for Cortex-M0 */ + + /* Loop over blockSize number of values */ + blkCnt = blockSize; + + while (blkCnt > 0U) + { + /* C = (A[0] * A[0] + A[1] * A[1] + ... + A[blockSize-1] * A[blockSize-1]) */ + /* Compute Sum of squares of the input samples + * and then store the result in a temporary variable, sumOfSquares. */ + in = *pSrc++; + sumOfSquares += in * in; + + /* C = (A[0] + A[1] + ... + A[blockSize-1]) */ + /* Compute Sum of the input samples + * and then store the result in a temporary variable, sum. */ + sum += in; + + /* Decrement the loop counter */ + blkCnt--; + } + + /* Compute the square of sum */ + squareOfSum = ((sum * sum) / (float32_t) blockSize); + + /* Compute the variance */ + var = ((sumOfSquares - squareOfSum) / (float32_t) (blockSize - 1.0f)); + + /* Compute standard deviation and then store the result to the destination */ + arm_sqrt_f32(var, pResult); + +#endif /* #if defined (ARM_MATH_DSP) */ +} + +/** + * @} end of STD group + */ diff --git a/fw/hid-dials/Drivers/CMSIS/DSP/Source/StatisticsFunctions/arm_std_q15.c b/fw/hid-dials/Drivers/CMSIS/DSP/Source/StatisticsFunctions/arm_std_q15.c new file mode 100644 index 0000000..e3626d8 --- /dev/null +++ b/fw/hid-dials/Drivers/CMSIS/DSP/Source/StatisticsFunctions/arm_std_q15.c @@ -0,0 +1,174 @@ +/* ---------------------------------------------------------------------- + * Project: CMSIS DSP Library + * Title: arm_std_q15.c + * Description: Standard deviation of an array of Q15 vector + * + * $Date: 27. January 2017 + * $Revision: V.1.5.1 + * + * Target Processor: Cortex-M cores + * -------------------------------------------------------------------- */ +/* + * Copyright (C) 2010-2017 ARM Limited or its affiliates. All rights reserved. + * + * SPDX-License-Identifier: Apache-2.0 + * + * Licensed under the Apache License, Version 2.0 (the License); you may + * not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an AS IS BASIS, WITHOUT + * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ + +#include "arm_math.h" + +/** + * @ingroup groupStats + */ + +/** + * @addtogroup STD + * @{ + */ + +/** + * @brief Standard deviation of the elements of a Q15 vector. + * @param[in] *pSrc points to the input vector + * @param[in] blockSize length of the input vector + * @param[out] *pResult standard deviation value returned here + * @return none. + * @details + * Scaling and Overflow Behavior: + * + * \par + * The function is implemented using a 64-bit internal accumulator. + * The input is represented in 1.15 format. + * Intermediate multiplication yields a 2.30 format, and this + * result is added without saturation to a 64-bit accumulator in 34.30 format. + * With 33 guard bits in the accumulator, there is no risk of overflow, and the + * full precision of the intermediate multiplication is preserved. + * Finally, the 34.30 result is truncated to 34.15 format by discarding the lower + * 15 bits, and then saturated to yield a result in 1.15 format. + */ + +void arm_std_q15( + q15_t * pSrc, + uint32_t blockSize, + q15_t * pResult) +{ + q31_t sum = 0; /* Accumulator */ + q31_t meanOfSquares, squareOfMean; /* square of mean and mean of square */ + uint32_t blkCnt; /* loop counter */ + q63_t sumOfSquares = 0; /* Accumulator */ +#if defined (ARM_MATH_DSP) + q31_t in; /* input value */ + q15_t in1; /* input value */ +#else + q15_t in; /* input value */ +#endif + + if (blockSize == 1U) + { + *pResult = 0; + return; + } + +#if defined (ARM_MATH_DSP) + /* Run the below code for Cortex-M4 and Cortex-M3 */ + + /*loop Unrolling */ + blkCnt = blockSize >> 2U; + + /* First part of the processing with loop unrolling. Compute 4 outputs at a time. + ** a second loop below computes the remaining 1 to 3 samples. */ + while (blkCnt > 0U) + { + /* C = (A[0] * A[0] + A[1] * A[1] + ... + A[blockSize-1] * A[blockSize-1]) */ + /* Compute Sum of squares of the input samples + * and then store the result in a temporary variable, sum. */ + in = *__SIMD32(pSrc)++; + sum += ((in << 16U) >> 16U); + sum += (in >> 16U); + sumOfSquares = __SMLALD(in, in, sumOfSquares); + in = *__SIMD32(pSrc)++; + sum += ((in << 16U) >> 16U); + sum += (in >> 16U); + sumOfSquares = __SMLALD(in, in, sumOfSquares); + + /* Decrement the loop counter */ + blkCnt--; + } + + /* If the blockSize is not a multiple of 4, compute any remaining output samples here. + ** No loop unrolling is used. */ + blkCnt = blockSize % 0x4U; + + while (blkCnt > 0U) + { + /* C = (A[0] * A[0] + A[1] * A[1] + ... + A[blockSize-1] * A[blockSize-1]) */ + /* Compute Sum of squares of the input samples + * and then store the result in a temporary variable, sum. */ + in1 = *pSrc++; + sumOfSquares = __SMLALD(in1, in1, sumOfSquares); + sum += in1; + + /* Decrement the loop counter */ + blkCnt--; + } + + /* Compute Mean of squares of the input samples + * and then store the result in a temporary variable, meanOfSquares. */ + meanOfSquares = (q31_t)(sumOfSquares / (q63_t)(blockSize - 1U)); + + /* Compute square of mean */ + squareOfMean = (q31_t)((q63_t)sum * sum / (q63_t)(blockSize * (blockSize - 1U))); + + /* mean of the squares minus the square of the mean. */ + /* Compute standard deviation and store the result to the destination */ + arm_sqrt_q15(__SSAT((meanOfSquares - squareOfMean) >> 15U, 16U), pResult); + +#else + /* Run the below code for Cortex-M0 */ + + /* Loop over blockSize number of values */ + blkCnt = blockSize; + + while (blkCnt > 0U) + { + /* C = (A[0] * A[0] + A[1] * A[1] + ... + A[blockSize-1] * A[blockSize-1]) */ + /* Compute Sum of squares of the input samples + * and then store the result in a temporary variable, sumOfSquares. */ + in = *pSrc++; + sumOfSquares += (in * in); + + /* C = (A[0] + A[1] + A[2] + ... + A[blockSize-1]) */ + /* Compute sum of all input values and then store the result in a temporary variable, sum. */ + sum += in; + + /* Decrement the loop counter */ + blkCnt--; + } + + /* Compute Mean of squares of the input samples + * and then store the result in a temporary variable, meanOfSquares. */ + meanOfSquares = (q31_t)(sumOfSquares / (q63_t)(blockSize - 1U)); + + /* Compute square of mean */ + squareOfMean = (q31_t)((q63_t)sum * sum / (q63_t)(blockSize * (blockSize - 1U))); + + /* mean of the squares minus the square of the mean. */ + /* Compute standard deviation and store the result to the destination */ + arm_sqrt_q15(__SSAT((meanOfSquares - squareOfMean) >> 15U, 16U), pResult); + +#endif /* #if defined (ARM_MATH_DSP) */ +} + +/** + * @} end of STD group + */ diff --git a/fw/hid-dials/Drivers/CMSIS/DSP/Source/StatisticsFunctions/arm_std_q31.c b/fw/hid-dials/Drivers/CMSIS/DSP/Source/StatisticsFunctions/arm_std_q31.c new file mode 100644 index 0000000..806a90e --- /dev/null +++ b/fw/hid-dials/Drivers/CMSIS/DSP/Source/StatisticsFunctions/arm_std_q31.c @@ -0,0 +1,169 @@ +/* ---------------------------------------------------------------------- + * Project: CMSIS DSP Library + * Title: arm_std_q31.c + * Description: Standard deviation of an array of Q31 type. + * + * $Date: 27. January 2017 + * $Revision: V.1.5.1 + * + * Target Processor: Cortex-M cores + * -------------------------------------------------------------------- */ +/* + * Copyright (C) 2010-2017 ARM Limited or its affiliates. All rights reserved. + * + * SPDX-License-Identifier: Apache-2.0 + * + * Licensed under the Apache License, Version 2.0 (the License); you may + * not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an AS IS BASIS, WITHOUT + * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ + +#include "arm_math.h" + +/** + * @ingroup groupStats + */ + +/** + * @addtogroup STD + * @{ + */ + +/** + * @brief Standard deviation of the elements of a Q31 vector. + * @param[in] *pSrc points to the input vector + * @param[in] blockSize length of the input vector + * @param[out] *pResult standard deviation value returned here + * @return none. + * @details + * Scaling and Overflow Behavior: + * + *\par + * The function is implemented using an internal 64-bit accumulator. + * The input is represented in 1.31 format, which is then downshifted by 8 bits + * which yields 1.23, and intermediate multiplication yields a 2.46 format. + * The accumulator maintains full precision of the intermediate multiplication results, + * but provides only a 16 guard bits. + * There is no saturation on intermediate additions. + * If the accumulator overflows it wraps around and distorts the result. + * In order to avoid overflows completely the input signal must be scaled down by + * log2(blockSize)-8 bits, as a total of blockSize additions are performed internally. + * After division, internal variables should be Q18.46 + * Finally, the 18.46 accumulator is right shifted by 15 bits to yield a 1.31 format value. + * + */ + +void arm_std_q31( + q31_t * pSrc, + uint32_t blockSize, + q31_t * pResult) +{ + q63_t sum = 0; /* Accumulator */ + q63_t meanOfSquares, squareOfMean; /* square of mean and mean of square */ + q31_t in; /* input value */ + uint32_t blkCnt; /* loop counter */ + q63_t sumOfSquares = 0; /* Accumulator */ + + if (blockSize == 1U) + { + *pResult = 0; + return; + } + +#if defined (ARM_MATH_DSP) + /* Run the below code for Cortex-M4 and Cortex-M3 */ + + /*loop Unrolling */ + blkCnt = blockSize >> 2U; + + /* First part of the processing with loop unrolling. Compute 4 outputs at a time. + ** a second loop below computes the remaining 1 to 3 samples. */ + while (blkCnt > 0U) + { + /* C = (A[0] * A[0] + A[1] * A[1] + ... + A[blockSize-1] * A[blockSize-1]) */ + /* Compute Sum of squares of the input samples + * and then store the result in a temporary variable, sum. */ + in = *pSrc++ >> 8U; + sum += in; + sumOfSquares += ((q63_t) (in) * (in)); + in = *pSrc++ >> 8U; + sum += in; + sumOfSquares += ((q63_t) (in) * (in)); + in = *pSrc++ >> 8U; + sum += in; + sumOfSquares += ((q63_t) (in) * (in)); + in = *pSrc++ >> 8U; + sum += in; + sumOfSquares += ((q63_t) (in) * (in)); + + /* Decrement the loop counter */ + blkCnt--; + } + + /* If the blockSize is not a multiple of 4, compute any remaining output samples here. + ** No loop unrolling is used. */ + blkCnt = blockSize % 0x4U; + + while (blkCnt > 0U) + { + /* C = (A[0] * A[0] + A[1] * A[1] + ... + A[blockSize-1] * A[blockSize-1]) */ + /* Compute Sum of squares of the input samples + * and then store the result in a temporary variable, sum. */ + in = *pSrc++ >> 8U; + sum += in; + sumOfSquares += ((q63_t) (in) * (in)); + + /* Decrement the loop counter */ + blkCnt--; + } + + /* Compute Mean of squares of the input samples + * and then store the result in a temporary variable, meanOfSquares. */ + meanOfSquares = sumOfSquares / (q63_t)(blockSize - 1U); + +#else + /* Run the below code for Cortex-M0 */ + + /* Loop over blockSize number of values */ + blkCnt = blockSize; + + while (blkCnt > 0U) + { + /* C = (A[0] * A[0] + A[1] * A[1] + ... + A[blockSize-1] * A[blockSize-1]) */ + /* Compute Sum of squares of the input samples + * and then store the result in a temporary variable, sumOfSquares. */ + in = *pSrc++ >> 8U; + sumOfSquares += ((q63_t) (in) * (in)); + + /* C = (A[0] + A[1] + A[2] + ... + A[blockSize-1]) */ + /* Compute sum of all input values and then store the result in a temporary variable, sum. */ + sum += in; + + /* Decrement the loop counter */ + blkCnt--; + } + + /* Compute Mean of squares of the input samples + * and then store the result in a temporary variable, meanOfSquares. */ + meanOfSquares = sumOfSquares / (q63_t)(blockSize - 1U); + +#endif /* #if defined (ARM_MATH_DSP) */ + + /* Compute square of mean */ + squareOfMean = sum * sum / (q63_t)(blockSize * (blockSize - 1U)); + + /* Compute standard deviation and then store the result to the destination */ + arm_sqrt_q31((meanOfSquares - squareOfMean) >> 15U, pResult); +} + +/** + * @} end of STD group + */ diff --git a/fw/hid-dials/Drivers/CMSIS/DSP/Source/StatisticsFunctions/arm_var_f32.c b/fw/hid-dials/Drivers/CMSIS/DSP/Source/StatisticsFunctions/arm_var_f32.c new file mode 100644 index 0000000..a366f5c --- /dev/null +++ b/fw/hid-dials/Drivers/CMSIS/DSP/Source/StatisticsFunctions/arm_var_f32.c @@ -0,0 +1,181 @@ +/* ---------------------------------------------------------------------- + * Project: CMSIS DSP Library + * Title: arm_var_f32.c + * Description: Variance of the elements of a floating-point vector + * + * $Date: 27. January 2017 + * $Revision: V.1.5.1 + * + * Target Processor: Cortex-M cores + * -------------------------------------------------------------------- */ +/* + * Copyright (C) 2010-2017 ARM Limited or its affiliates. All rights reserved. + * + * SPDX-License-Identifier: Apache-2.0 + * + * Licensed under the Apache License, Version 2.0 (the License); you may + * not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an AS IS BASIS, WITHOUT + * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ + +#include "arm_math.h" + +/** + * @ingroup groupStats + */ + +/** + * @defgroup variance Variance + * + * Calculates the variance of the elements in the input vector. + * The underlying algorithm used is the direct method sometimes referred to as the two-pass method: + * + *
+ *   Result = sum(element - meanOfElements)^2) / numElement - 1
+ *
+ *     where, meanOfElements = ( pSrc[0] * pSrc[0] + pSrc[1] * pSrc[1] + ... + pSrc[blockSize-1] ) / blockSize
+ *
+ * 
+ * + * There are separate functions for floating point, Q31, and Q15 data types. + */ + +/** + * @addtogroup variance + * @{ + */ + + +/** + * @brief Variance of the elements of a floating-point vector. + * @param[in] *pSrc points to the input vector + * @param[in] blockSize length of the input vector + * @param[out] *pResult variance value returned here + * @return none. + */ + +void arm_var_f32( + float32_t * pSrc, + uint32_t blockSize, + float32_t * pResult) +{ + float32_t fMean, fValue; + uint32_t blkCnt; /* loop counter */ + float32_t * pInput = pSrc; + float32_t sum = 0.0f; + float32_t fSum = 0.0f; + #if defined(ARM_MATH_DSP) + float32_t in1, in2, in3, in4; + #endif + + if (blockSize <= 1U) + { + *pResult = 0; + return; + } + + #if defined(ARM_MATH_DSP) + /* Run the below code for Cortex-M4 and Cortex-M7 */ + + /*loop Unrolling */ + blkCnt = blockSize >> 2U; + + /* First part of the processing with loop unrolling. Compute 4 outputs at a time. + ** a second loop below computes the remaining 1 to 3 samples. */ + while (blkCnt > 0U) + { + /* C = (A[0] + A[1] + A[2] + ... + A[blockSize-1]) */ + in1 = *pInput++; + in2 = *pInput++; + in3 = *pInput++; + in4 = *pInput++; + + sum += in1; + sum += in2; + sum += in3; + sum += in4; + + /* Decrement the loop counter */ + blkCnt--; + } + + /* If the blockSize is not a multiple of 4, compute any remaining output samples here. + ** No loop unrolling is used. */ + blkCnt = blockSize % 0x4U; + + #else + /* Run the below code for Cortex-M0 or Cortex-M3 */ + + /* Loop over blockSize number of values */ + blkCnt = blockSize; + + #endif + + while (blkCnt > 0U) + { + /* C = (A[0] + A[1] + A[2] + ... + A[blockSize-1]) */ + sum += *pInput++; + + /* Decrement the loop counter */ + blkCnt--; + } + + /* C = (A[0] + A[1] + A[2] + ... + A[blockSize-1]) / blockSize */ + fMean = sum / (float32_t) blockSize; + + pInput = pSrc; + + #if defined(ARM_MATH_DSP) + + /*loop Unrolling */ + blkCnt = blockSize >> 2U; + + /* First part of the processing with loop unrolling. Compute 4 outputs at a time. + ** a second loop below computes the remaining 1 to 3 samples. */ + while (blkCnt > 0U) + { + fValue = *pInput++ - fMean; + fSum += fValue * fValue; + fValue = *pInput++ - fMean; + fSum += fValue * fValue; + fValue = *pInput++ - fMean; + fSum += fValue * fValue; + fValue = *pInput++ - fMean; + fSum += fValue * fValue; + + /* Decrement the loop counter */ + blkCnt--; + } + + blkCnt = blockSize % 0x4U; + #else + /* Run the below code for Cortex-M0 or Cortex-M3 */ + + /* Loop over blockSize number of values */ + blkCnt = blockSize; + #endif + + while (blkCnt > 0U) + { + fValue = *pInput++ - fMean; + fSum += fValue * fValue; + + /* Decrement the loop counter */ + blkCnt--; + } + + /* Variance */ + *pResult = fSum / (float32_t)(blockSize - 1.0f); +} + +/** + * @} end of variance group + */ diff --git a/fw/hid-dials/Drivers/CMSIS/DSP/Source/StatisticsFunctions/arm_var_q15.c b/fw/hid-dials/Drivers/CMSIS/DSP/Source/StatisticsFunctions/arm_var_q15.c new file mode 100644 index 0000000..ff9972a --- /dev/null +++ b/fw/hid-dials/Drivers/CMSIS/DSP/Source/StatisticsFunctions/arm_var_q15.c @@ -0,0 +1,172 @@ +/* ---------------------------------------------------------------------- + * Project: CMSIS DSP Library + * Title: arm_var_q15.c + * Description: Variance of an array of Q15 type + * + * $Date: 27. January 2017 + * $Revision: V.1.5.1 + * + * Target Processor: Cortex-M cores + * -------------------------------------------------------------------- */ +/* + * Copyright (C) 2010-2017 ARM Limited or its affiliates. All rights reserved. + * + * SPDX-License-Identifier: Apache-2.0 + * + * Licensed under the Apache License, Version 2.0 (the License); you may + * not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an AS IS BASIS, WITHOUT + * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ + +#include "arm_math.h" + +/** + * @ingroup groupStats + */ + +/** + * @addtogroup variance + * @{ + */ + +/** + * @brief Variance of the elements of a Q15 vector. + * @param[in] *pSrc points to the input vector + * @param[in] blockSize length of the input vector + * @param[out] *pResult variance value returned here + * @return none. + * @details + * Scaling and Overflow Behavior: + * + * \par + * The function is implemented using a 64-bit internal accumulator. + * The input is represented in 1.15 format. + * Intermediate multiplication yields a 2.30 format, and this + * result is added without saturation to a 64-bit accumulator in 34.30 format. + * With 33 guard bits in the accumulator, there is no risk of overflow, and the + * full precision of the intermediate multiplication is preserved. + * Finally, the 34.30 result is truncated to 34.15 format by discarding the lower + * 15 bits, and then saturated to yield a result in 1.15 format. + */ + +void arm_var_q15( + q15_t * pSrc, + uint32_t blockSize, + q15_t * pResult) +{ + q31_t sum = 0; /* Accumulator */ + q31_t meanOfSquares, squareOfMean; /* square of mean and mean of square */ + uint32_t blkCnt; /* loop counter */ + q63_t sumOfSquares = 0; /* Accumulator */ +#if defined (ARM_MATH_DSP) + q31_t in; /* input value */ + q15_t in1; /* input value */ +#else + q15_t in; /* input value */ +#endif + + if (blockSize == 1U) + { + *pResult = 0; + return; + } + +#if defined (ARM_MATH_DSP) + /* Run the below code for Cortex-M4 and Cortex-M3 */ + + /*loop Unrolling */ + blkCnt = blockSize >> 2U; + + /* First part of the processing with loop unrolling. Compute 4 outputs at a time. + ** a second loop below computes the remaining 1 to 3 samples. */ + while (blkCnt > 0U) + { + /* C = (A[0] * A[0] + A[1] * A[1] + ... + A[blockSize-1] * A[blockSize-1]) */ + /* Compute Sum of squares of the input samples + * and then store the result in a temporary variable, sum. */ + in = *__SIMD32(pSrc)++; + sum += ((in << 16U) >> 16U); + sum += (in >> 16U); + sumOfSquares = __SMLALD(in, in, sumOfSquares); + in = *__SIMD32(pSrc)++; + sum += ((in << 16U) >> 16U); + sum += (in >> 16U); + sumOfSquares = __SMLALD(in, in, sumOfSquares); + + /* Decrement the loop counter */ + blkCnt--; + } + + /* If the blockSize is not a multiple of 4, compute any remaining output samples here. + ** No loop unrolling is used. */ + blkCnt = blockSize % 0x4U; + + while (blkCnt > 0U) + { + /* C = (A[0] * A[0] + A[1] * A[1] + ... + A[blockSize-1] * A[blockSize-1]) */ + /* Compute Sum of squares of the input samples + * and then store the result in a temporary variable, sum. */ + in1 = *pSrc++; + sumOfSquares = __SMLALD(in1, in1, sumOfSquares); + sum += in1; + + /* Decrement the loop counter */ + blkCnt--; + } + + /* Compute Mean of squares of the input samples + * and then store the result in a temporary variable, meanOfSquares. */ + meanOfSquares = (q31_t)(sumOfSquares / (q63_t)(blockSize - 1U)); + + /* Compute square of mean */ + squareOfMean = (q31_t)((q63_t)sum * sum / (q63_t)(blockSize * (blockSize - 1U))); + + /* mean of the squares minus the square of the mean. */ + *pResult = (meanOfSquares - squareOfMean) >> 15U; + +#else + /* Run the below code for Cortex-M0 */ + + /* Loop over blockSize number of values */ + blkCnt = blockSize; + + while (blkCnt > 0U) + { + /* C = (A[0] * A[0] + A[1] * A[1] + ... + A[blockSize-1] * A[blockSize-1]) */ + /* Compute Sum of squares of the input samples + * and then store the result in a temporary variable, sumOfSquares. */ + in = *pSrc++; + sumOfSquares += (in * in); + + /* C = (A[0] + A[1] + A[2] + ... + A[blockSize-1]) */ + /* Compute sum of all input values and then store the result in a temporary variable, sum. */ + sum += in; + + /* Decrement the loop counter */ + blkCnt--; + } + + /* Compute Mean of squares of the input samples + * and then store the result in a temporary variable, meanOfSquares. */ + meanOfSquares = (q31_t)(sumOfSquares / (q63_t)(blockSize - 1U)); + + /* Compute square of mean */ + squareOfMean = (q31_t)((q63_t)sum * sum / (q63_t)(blockSize * (blockSize - 1U))); + + /* mean of the squares minus the square of the mean. */ + *pResult = (meanOfSquares - squareOfMean) >> 15; + +#endif /* #if defined (ARM_MATH_DSP) */ +} + +/** + * @} end of variance group + */ diff --git a/fw/hid-dials/Drivers/CMSIS/DSP/Source/StatisticsFunctions/arm_var_q31.c b/fw/hid-dials/Drivers/CMSIS/DSP/Source/StatisticsFunctions/arm_var_q31.c new file mode 100644 index 0000000..08e80fe --- /dev/null +++ b/fw/hid-dials/Drivers/CMSIS/DSP/Source/StatisticsFunctions/arm_var_q31.c @@ -0,0 +1,169 @@ +/* ---------------------------------------------------------------------- + * Project: CMSIS DSP Library + * Title: arm_var_q31.c + * Description: Variance of an array of Q31 type + * + * $Date: 27. January 2017 + * $Revision: V.1.5.1 + * + * Target Processor: Cortex-M cores + * -------------------------------------------------------------------- */ +/* + * Copyright (C) 2010-2017 ARM Limited or its affiliates. All rights reserved. + * + * SPDX-License-Identifier: Apache-2.0 + * + * Licensed under the Apache License, Version 2.0 (the License); you may + * not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an AS IS BASIS, WITHOUT + * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ + +#include "arm_math.h" + +/** + * @ingroup groupStats + */ + +/** + * @addtogroup variance + * @{ + */ + +/** + * @brief Variance of the elements of a Q31 vector. + * @param[in] *pSrc points to the input vector + * @param[in] blockSize length of the input vector + * @param[out] *pResult variance value returned here + * @return none. + * @details + * Scaling and Overflow Behavior: + * + *\par + * The function is implemented using an internal 64-bit accumulator. + * The input is represented in 1.31 format, which is then downshifted by 8 bits + * which yields 1.23, and intermediate multiplication yields a 2.46 format. + * The accumulator maintains full precision of the intermediate multiplication results, + * but provides only a 16 guard bits. + * There is no saturation on intermediate additions. + * If the accumulator overflows it wraps around and distorts the result. + * In order to avoid overflows completely the input signal must be scaled down by + * log2(blockSize)-8 bits, as a total of blockSize additions are performed internally. + * After division, internal variables should be Q18.46 + * Finally, the 18.46 accumulator is right shifted by 15 bits to yield a 1.31 format value. + * + */ + +void arm_var_q31( + q31_t * pSrc, + uint32_t blockSize, + q31_t * pResult) +{ + q63_t sum = 0; /* Accumulator */ + q63_t meanOfSquares, squareOfMean; /* square of mean and mean of square */ + q31_t in; /* input value */ + uint32_t blkCnt; /* loop counter */ + q63_t sumOfSquares = 0; /* Accumulator */ + + if (blockSize == 1U) + { + *pResult = 0; + return; + } + +#if defined (ARM_MATH_DSP) + /* Run the below code for Cortex-M4 and Cortex-M3 */ + + /*loop Unrolling */ + blkCnt = blockSize >> 2U; + + /* First part of the processing with loop unrolling. Compute 4 outputs at a time. + ** a second loop below computes the remaining 1 to 3 samples. */ + while (blkCnt > 0U) + { + /* C = (A[0] * A[0] + A[1] * A[1] + ... + A[blockSize-1] * A[blockSize-1]) */ + /* Compute Sum of squares of the input samples + * and then store the result in a temporary variable, sum. */ + in = *pSrc++ >> 8U; + sum += in; + sumOfSquares += ((q63_t) (in) * (in)); + in = *pSrc++ >> 8U; + sum += in; + sumOfSquares += ((q63_t) (in) * (in)); + in = *pSrc++ >> 8U; + sum += in; + sumOfSquares += ((q63_t) (in) * (in)); + in = *pSrc++ >> 8U; + sum += in; + sumOfSquares += ((q63_t) (in) * (in)); + + /* Decrement the loop counter */ + blkCnt--; + } + + /* If the blockSize is not a multiple of 4, compute any remaining output samples here. + ** No loop unrolling is used. */ + blkCnt = blockSize % 0x4U; + + while (blkCnt > 0U) + { + /* C = (A[0] * A[0] + A[1] * A[1] + ... + A[blockSize-1] * A[blockSize-1]) */ + /* Compute Sum of squares of the input samples + * and then store the result in a temporary variable, sum. */ + in = *pSrc++ >> 8U; + sum += in; + sumOfSquares += ((q63_t) (in) * (in)); + + /* Decrement the loop counter */ + blkCnt--; + } + + /* Compute Mean of squares of the input samples + * and then store the result in a temporary variable, meanOfSquares. */ + meanOfSquares = sumOfSquares / (q63_t)(blockSize - 1U); + +#else + /* Run the below code for Cortex-M0 */ + + /* Loop over blockSize number of values */ + blkCnt = blockSize; + + while (blkCnt > 0U) + { + /* C = (A[0] * A[0] + A[1] * A[1] + ... + A[blockSize-1] * A[blockSize-1]) */ + /* Compute Sum of squares of the input samples + * and then store the result in a temporary variable, sumOfSquares. */ + in = *pSrc++ >> 8U; + sumOfSquares += ((q63_t) (in) * (in)); + + /* C = (A[0] + A[1] + A[2] + ... + A[blockSize-1]) */ + /* Compute sum of all input values and then store the result in a temporary variable, sum. */ + sum += in; + + /* Decrement the loop counter */ + blkCnt--; + } + + /* Compute Mean of squares of the input samples + * and then store the result in a temporary variable, meanOfSquares. */ + meanOfSquares = sumOfSquares / (q63_t)(blockSize - 1U); + +#endif /* #if defined (ARM_MATH_DSP) */ + + /* Compute square of mean */ + squareOfMean = sum * sum / (q63_t)(blockSize * (blockSize - 1U)); + + /* Compute standard deviation and then store the result to the destination */ + *pResult = (meanOfSquares - squareOfMean) >> 15U; +} + +/** + * @} end of variance group + */ diff --git a/fw/hid-dials/Drivers/CMSIS/DSP/Source/SupportFunctions/arm_copy_f32.c b/fw/hid-dials/Drivers/CMSIS/DSP/Source/SupportFunctions/arm_copy_f32.c new file mode 100644 index 0000000..13245b6 --- /dev/null +++ b/fw/hid-dials/Drivers/CMSIS/DSP/Source/SupportFunctions/arm_copy_f32.c @@ -0,0 +1,123 @@ +/* ---------------------------------------------------------------------- + * Project: CMSIS DSP Library + * Title: arm_copy_f32.c + * Description: Copies the elements of a floating-point vector + * + * $Date: 27. January 2017 + * $Revision: V.1.5.1 + * + * Target Processor: Cortex-M cores + * -------------------------------------------------------------------- */ +/* + * Copyright (C) 2010-2017 ARM Limited or its affiliates. All rights reserved. + * + * SPDX-License-Identifier: Apache-2.0 + * + * Licensed under the Apache License, Version 2.0 (the License); you may + * not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an AS IS BASIS, WITHOUT + * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ + +#include "arm_math.h" + +/** + * @ingroup groupSupport + */ + +/** + * @defgroup copy Vector Copy + * + * Copies sample by sample from source vector to destination vector. + * + *
+ * 	pDst[n] = pSrc[n];   0 <= n < blockSize.
+ * 
+ * + * There are separate functions for floating point, Q31, Q15, and Q7 data types. + */ + +/** + * @addtogroup copy + * @{ + */ + +/** + * @brief Copies the elements of a floating-point vector. + * @param[in] *pSrc points to input vector + * @param[out] *pDst points to output vector + * @param[in] blockSize length of the input vector + * @return none. + * + */ + + +void arm_copy_f32( + float32_t * pSrc, + float32_t * pDst, + uint32_t blockSize) +{ + uint32_t blkCnt; /* loop counter */ + +#if defined (ARM_MATH_DSP) + + /* Run the below code for Cortex-M4 and Cortex-M3 */ + float32_t in1, in2, in3, in4; + + /*loop Unrolling */ + blkCnt = blockSize >> 2U; + + /* First part of the processing with loop unrolling. Compute 4 outputs at a time. + ** a second loop below computes the remaining 1 to 3 samples. */ + while (blkCnt > 0U) + { + /* C = A */ + /* Copy and then store the results in the destination buffer */ + in1 = *pSrc++; + in2 = *pSrc++; + in3 = *pSrc++; + in4 = *pSrc++; + + *pDst++ = in1; + *pDst++ = in2; + *pDst++ = in3; + *pDst++ = in4; + + /* Decrement the loop counter */ + blkCnt--; + } + + /* If the blockSize is not a multiple of 4, compute any remaining output samples here. + ** No loop unrolling is used. */ + blkCnt = blockSize % 0x4U; + +#else + + /* Run the below code for Cortex-M0 */ + + /* Loop over blockSize number of values */ + blkCnt = blockSize; + +#endif /* #if defined (ARM_MATH_DSP) */ + + while (blkCnt > 0U) + { + /* C = A */ + /* Copy and then store the results in the destination buffer */ + *pDst++ = *pSrc++; + + /* Decrement the loop counter */ + blkCnt--; + } +} + +/** + * @} end of BasicCopy group + */ diff --git a/fw/hid-dials/Drivers/CMSIS/DSP/Source/SupportFunctions/arm_copy_q15.c b/fw/hid-dials/Drivers/CMSIS/DSP/Source/SupportFunctions/arm_copy_q15.c new file mode 100644 index 0000000..28b60d9 --- /dev/null +++ b/fw/hid-dials/Drivers/CMSIS/DSP/Source/SupportFunctions/arm_copy_q15.c @@ -0,0 +1,102 @@ +/* ---------------------------------------------------------------------- + * Project: CMSIS DSP Library + * Title: arm_copy_q15.c + * Description: Copies the elements of a Q15 vector + * + * $Date: 27. January 2017 + * $Revision: V.1.5.1 + * + * Target Processor: Cortex-M cores + * -------------------------------------------------------------------- */ +/* + * Copyright (C) 2010-2017 ARM Limited or its affiliates. All rights reserved. + * + * SPDX-License-Identifier: Apache-2.0 + * + * Licensed under the Apache License, Version 2.0 (the License); you may + * not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an AS IS BASIS, WITHOUT + * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ + +#include "arm_math.h" + +/** + * @ingroup groupSupport + */ + +/** + * @addtogroup copy + * @{ + */ +/** + * @brief Copies the elements of a Q15 vector. + * @param[in] *pSrc points to input vector + * @param[out] *pDst points to output vector + * @param[in] blockSize length of the input vector + * @return none. + * + */ + +void arm_copy_q15( + q15_t * pSrc, + q15_t * pDst, + uint32_t blockSize) +{ + uint32_t blkCnt; /* loop counter */ + +#if defined (ARM_MATH_DSP) + + /* Run the below code for Cortex-M4 and Cortex-M3 */ + + /*loop Unrolling */ + blkCnt = blockSize >> 2U; + + /* First part of the processing with loop unrolling. Compute 4 outputs at a time. + ** a second loop below computes the remaining 1 to 3 samples. */ + while (blkCnt > 0U) + { + /* C = A */ + /* Read two inputs */ + *__SIMD32(pDst)++ = *__SIMD32(pSrc)++; + *__SIMD32(pDst)++ = *__SIMD32(pSrc)++; + + /* Decrement the loop counter */ + blkCnt--; + } + + /* If the blockSize is not a multiple of 4, compute any remaining output samples here. + ** No loop unrolling is used. */ + blkCnt = blockSize % 0x4U; + + +#else + + /* Run the below code for Cortex-M0 */ + + /* Loop over blockSize number of values */ + blkCnt = blockSize; + +#endif /* #if defined (ARM_MATH_DSP) */ + + while (blkCnt > 0U) + { + /* C = A */ + /* Copy and then store the value in the destination buffer */ + *pDst++ = *pSrc++; + + /* Decrement the loop counter */ + blkCnt--; + } +} + +/** + * @} end of BasicCopy group + */ diff --git a/fw/hid-dials/Drivers/CMSIS/DSP/Source/SupportFunctions/arm_copy_q31.c b/fw/hid-dials/Drivers/CMSIS/DSP/Source/SupportFunctions/arm_copy_q31.c new file mode 100644 index 0000000..b0bdd05 --- /dev/null +++ b/fw/hid-dials/Drivers/CMSIS/DSP/Source/SupportFunctions/arm_copy_q31.c @@ -0,0 +1,111 @@ +/* ---------------------------------------------------------------------- + * Project: CMSIS DSP Library + * Title: arm_copy_q31.c + * Description: Copies the elements of a Q31 vector + * + * $Date: 27. January 2017 + * $Revision: V.1.5.1 + * + * Target Processor: Cortex-M cores + * -------------------------------------------------------------------- */ +/* + * Copyright (C) 2010-2017 ARM Limited or its affiliates. All rights reserved. + * + * SPDX-License-Identifier: Apache-2.0 + * + * Licensed under the Apache License, Version 2.0 (the License); you may + * not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an AS IS BASIS, WITHOUT + * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ + +#include "arm_math.h" + +/** + * @ingroup groupSupport + */ + +/** + * @addtogroup copy + * @{ + */ + +/** + * @brief Copies the elements of a Q31 vector. + * @param[in] *pSrc points to input vector + * @param[out] *pDst points to output vector + * @param[in] blockSize length of the input vector + * @return none. + * + */ + +void arm_copy_q31( + q31_t * pSrc, + q31_t * pDst, + uint32_t blockSize) +{ + uint32_t blkCnt; /* loop counter */ + + +#if defined (ARM_MATH_DSP) + + /* Run the below code for Cortex-M4 and Cortex-M3 */ + q31_t in1, in2, in3, in4; + + /*loop Unrolling */ + blkCnt = blockSize >> 2U; + + /* First part of the processing with loop unrolling. Compute 4 outputs at a time. + ** a second loop below computes the remaining 1 to 3 samples. */ + while (blkCnt > 0U) + { + /* C = A */ + /* Copy and then store the values in the destination buffer */ + in1 = *pSrc++; + in2 = *pSrc++; + in3 = *pSrc++; + in4 = *pSrc++; + + *pDst++ = in1; + *pDst++ = in2; + *pDst++ = in3; + *pDst++ = in4; + + /* Decrement the loop counter */ + blkCnt--; + } + + /* If the blockSize is not a multiple of 4, compute any remaining output samples here. + ** No loop unrolling is used. */ + blkCnt = blockSize % 0x4U; + +#else + + /* Run the below code for Cortex-M0 */ + + /* Loop over blockSize number of values */ + blkCnt = blockSize; + +#endif /* #if defined (ARM_MATH_DSP) */ + + while (blkCnt > 0U) + { + /* C = A */ + /* Copy and then store the value in the destination buffer */ + *pDst++ = *pSrc++; + + /* Decrement the loop counter */ + blkCnt--; + } +} + +/** + * @} end of BasicCopy group + */ diff --git a/fw/hid-dials/Drivers/CMSIS/DSP/Source/SupportFunctions/arm_copy_q7.c b/fw/hid-dials/Drivers/CMSIS/DSP/Source/SupportFunctions/arm_copy_q7.c new file mode 100644 index 0000000..a3afa36 --- /dev/null +++ b/fw/hid-dials/Drivers/CMSIS/DSP/Source/SupportFunctions/arm_copy_q7.c @@ -0,0 +1,103 @@ +/* ---------------------------------------------------------------------- + * Project: CMSIS DSP Library + * Title: arm_copy_q7.c + * Description: Copies the elements of a Q7 vector + * + * $Date: 27. January 2017 + * $Revision: V.1.5.1 + * + * Target Processor: Cortex-M cores + * -------------------------------------------------------------------- */ +/* + * Copyright (C) 2010-2017 ARM Limited or its affiliates. All rights reserved. + * + * SPDX-License-Identifier: Apache-2.0 + * + * Licensed under the Apache License, Version 2.0 (the License); you may + * not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an AS IS BASIS, WITHOUT + * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ + +#include "arm_math.h" + +/** + * @ingroup groupSupport + */ + +/** + * @addtogroup copy + * @{ + */ + +/** + * @brief Copies the elements of a Q7 vector. + * @param[in] *pSrc points to input vector + * @param[out] *pDst points to output vector + * @param[in] blockSize length of the input vector + * @return none. + * + */ + +void arm_copy_q7( + q7_t * pSrc, + q7_t * pDst, + uint32_t blockSize) +{ + uint32_t blkCnt; /* loop counter */ + +#if defined (ARM_MATH_DSP) + + /* Run the below code for Cortex-M4 and Cortex-M3 */ + + /*loop Unrolling */ + blkCnt = blockSize >> 2U; + + /* First part of the processing with loop unrolling. Compute 4 outputs at a time. + ** a second loop below computes the remaining 1 to 3 samples. */ + while (blkCnt > 0U) + { + /* C = A */ + /* Copy and then store the results in the destination buffer */ + /* 4 samples are copied and stored at a time using SIMD */ + *__SIMD32(pDst)++ = *__SIMD32(pSrc)++; + + /* Decrement the loop counter */ + blkCnt--; + } + + /* If the blockSize is not a multiple of 4, compute any remaining output samples here. + ** No loop unrolling is used. */ + blkCnt = blockSize % 0x4U; + +#else + + /* Run the below code for Cortex-M0 */ + + /* Loop over blockSize number of values */ + blkCnt = blockSize; + +#endif /* #if defined (ARM_MATH_DSP) */ + + + while (blkCnt > 0U) + { + /* C = A */ + /* Copy and then store the results in the destination buffer */ + *pDst++ = *pSrc++; + + /* Decrement the loop counter */ + blkCnt--; + } +} + +/** + * @} end of BasicCopy group + */ diff --git a/fw/hid-dials/Drivers/CMSIS/DSP/Source/SupportFunctions/arm_fill_f32.c b/fw/hid-dials/Drivers/CMSIS/DSP/Source/SupportFunctions/arm_fill_f32.c new file mode 100644 index 0000000..5a70608 --- /dev/null +++ b/fw/hid-dials/Drivers/CMSIS/DSP/Source/SupportFunctions/arm_fill_f32.c @@ -0,0 +1,122 @@ +/* ---------------------------------------------------------------------- + * Project: CMSIS DSP Library + * Title: arm_fill_f32.c + * Description: Fills a constant value into a floating-point vector + * + * $Date: 27. January 2017 + * $Revision: V.1.5.1 + * + * Target Processor: Cortex-M cores + * -------------------------------------------------------------------- */ +/* + * Copyright (C) 2010-2017 ARM Limited or its affiliates. All rights reserved. + * + * SPDX-License-Identifier: Apache-2.0 + * + * Licensed under the Apache License, Version 2.0 (the License); you may + * not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an AS IS BASIS, WITHOUT + * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ + +#include "arm_math.h" + +/** + * @ingroup groupSupport + */ + +/** + * @defgroup Fill Vector Fill + * + * Fills the destination vector with a constant value. + * + *
+ * 	pDst[n] = value;   0 <= n < blockSize.
+ * 
+ * + * There are separate functions for floating point, Q31, Q15, and Q7 data types. + */ + +/** + * @addtogroup Fill + * @{ + */ + +/** + * @brief Fills a constant value into a floating-point vector. + * @param[in] value input value to be filled + * @param[out] *pDst points to output vector + * @param[in] blockSize length of the output vector + * @return none. + * + */ + + +void arm_fill_f32( + float32_t value, + float32_t * pDst, + uint32_t blockSize) +{ + uint32_t blkCnt; /* loop counter */ + +#if defined (ARM_MATH_DSP) + + /* Run the below code for Cortex-M4 and Cortex-M3 */ + float32_t in1 = value; + float32_t in2 = value; + float32_t in3 = value; + float32_t in4 = value; + + /*loop Unrolling */ + blkCnt = blockSize >> 2U; + + /* First part of the processing with loop unrolling. Compute 4 outputs at a time. + ** a second loop below computes the remaining 1 to 3 samples. */ + while (blkCnt > 0U) + { + /* C = value */ + /* Fill the value in the destination buffer */ + *pDst++ = in1; + *pDst++ = in2; + *pDst++ = in3; + *pDst++ = in4; + + /* Decrement the loop counter */ + blkCnt--; + } + + /* If the blockSize is not a multiple of 4, compute any remaining output samples here. + ** No loop unrolling is used. */ + blkCnt = blockSize % 0x4U; + +#else + + /* Run the below code for Cortex-M0 */ + + /* Loop over blockSize number of values */ + blkCnt = blockSize; + +#endif /* #if defined (ARM_MATH_DSP) */ + + + while (blkCnt > 0U) + { + /* C = value */ + /* Fill the value in the destination buffer */ + *pDst++ = value; + + /* Decrement the loop counter */ + blkCnt--; + } +} + +/** + * @} end of Fill group + */ diff --git a/fw/hid-dials/Drivers/CMSIS/DSP/Source/SupportFunctions/arm_fill_q15.c b/fw/hid-dials/Drivers/CMSIS/DSP/Source/SupportFunctions/arm_fill_q15.c new file mode 100644 index 0000000..8f27def --- /dev/null +++ b/fw/hid-dials/Drivers/CMSIS/DSP/Source/SupportFunctions/arm_fill_q15.c @@ -0,0 +1,108 @@ +/* ---------------------------------------------------------------------- + * Project: CMSIS DSP Library + * Title: arm_fill_q15.c + * Description: Fills a constant value into a Q15 vector + * + * $Date: 27. January 2017 + * $Revision: V.1.5.1 + * + * Target Processor: Cortex-M cores + * -------------------------------------------------------------------- */ +/* + * Copyright (C) 2010-2017 ARM Limited or its affiliates. All rights reserved. + * + * SPDX-License-Identifier: Apache-2.0 + * + * Licensed under the Apache License, Version 2.0 (the License); you may + * not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an AS IS BASIS, WITHOUT + * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ + +#include "arm_math.h" + +/** + * @ingroup groupSupport + */ + +/** + * @addtogroup Fill + * @{ + */ + +/** + * @brief Fills a constant value into a Q15 vector. + * @param[in] value input value to be filled + * @param[out] *pDst points to output vector + * @param[in] blockSize length of the output vector + * @return none. + * + */ + +void arm_fill_q15( + q15_t value, + q15_t * pDst, + uint32_t blockSize) +{ + uint32_t blkCnt; /* loop counter */ + +#if defined (ARM_MATH_DSP) + + /* Run the below code for Cortex-M4 and Cortex-M3 */ + + q31_t packedValue; /* value packed to 32 bits */ + + + /*loop Unrolling */ + blkCnt = blockSize >> 2U; + + /* Packing two 16 bit values to 32 bit value in order to use SIMD */ + packedValue = __PKHBT(value, value, 16U); + + /* First part of the processing with loop unrolling. Compute 4 outputs at a time. + ** a second loop below computes the remaining 1 to 3 samples. */ + while (blkCnt > 0U) + { + /* C = value */ + /* Fill the value in the destination buffer */ + *__SIMD32(pDst)++ = packedValue; + *__SIMD32(pDst)++ = packedValue; + + /* Decrement the loop counter */ + blkCnt--; + } + + /* If the blockSize is not a multiple of 4, compute any remaining output samples here. + ** No loop unrolling is used. */ + blkCnt = blockSize % 0x4U; + +#else + + /* Run the below code for Cortex-M0 */ + + /* Loop over blockSize number of values */ + blkCnt = blockSize; + +#endif /* #if defined (ARM_MATH_DSP) */ + + while (blkCnt > 0U) + { + /* C = value */ + /* Fill the value in the destination buffer */ + *pDst++ = value; + + /* Decrement the loop counter */ + blkCnt--; + } +} + +/** + * @} end of Fill group + */ diff --git a/fw/hid-dials/Drivers/CMSIS/DSP/Source/SupportFunctions/arm_fill_q31.c b/fw/hid-dials/Drivers/CMSIS/DSP/Source/SupportFunctions/arm_fill_q31.c new file mode 100644 index 0000000..3769f4d --- /dev/null +++ b/fw/hid-dials/Drivers/CMSIS/DSP/Source/SupportFunctions/arm_fill_q31.c @@ -0,0 +1,109 @@ +/* ---------------------------------------------------------------------- + * Project: CMSIS DSP Library + * Title: arm_fill_q31.c + * Description: Fills a constant value into a Q31 vector + * + * $Date: 27. January 2017 + * $Revision: V.1.5.1 + * + * Target Processor: Cortex-M cores + * -------------------------------------------------------------------- */ +/* + * Copyright (C) 2010-2017 ARM Limited or its affiliates. All rights reserved. + * + * SPDX-License-Identifier: Apache-2.0 + * + * Licensed under the Apache License, Version 2.0 (the License); you may + * not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an AS IS BASIS, WITHOUT + * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ + +#include "arm_math.h" + +/** + * @ingroup groupSupport + */ + +/** + * @addtogroup Fill + * @{ + */ + +/** + * @brief Fills a constant value into a Q31 vector. + * @param[in] value input value to be filled + * @param[out] *pDst points to output vector + * @param[in] blockSize length of the output vector + * @return none. + * + */ + +void arm_fill_q31( + q31_t value, + q31_t * pDst, + uint32_t blockSize) +{ + uint32_t blkCnt; /* loop counter */ + + +#if defined (ARM_MATH_DSP) + + /* Run the below code for Cortex-M4 and Cortex-M3 */ + q31_t in1 = value; + q31_t in2 = value; + q31_t in3 = value; + q31_t in4 = value; + + /*loop Unrolling */ + blkCnt = blockSize >> 2U; + + /* First part of the processing with loop unrolling. Compute 4 outputs at a time. + ** a second loop below computes the remaining 1 to 3 samples. */ + while (blkCnt > 0U) + { + /* C = value */ + /* Fill the value in the destination buffer */ + *pDst++ = in1; + *pDst++ = in2; + *pDst++ = in3; + *pDst++ = in4; + + /* Decrement the loop counter */ + blkCnt--; + } + + /* If the blockSize is not a multiple of 4, compute any remaining output samples here. + ** No loop unrolling is used. */ + blkCnt = blockSize % 0x4U; + +#else + + /* Run the below code for Cortex-M0 */ + + /* Loop over blockSize number of values */ + blkCnt = blockSize; + +#endif /* #if defined (ARM_MATH_DSP) */ + + while (blkCnt > 0U) + { + /* C = value */ + /* Fill the value in the destination buffer */ + *pDst++ = value; + + /* Decrement the loop counter */ + blkCnt--; + } +} + +/** + * @} end of Fill group + */ diff --git a/fw/hid-dials/Drivers/CMSIS/DSP/Source/SupportFunctions/arm_fill_q7.c b/fw/hid-dials/Drivers/CMSIS/DSP/Source/SupportFunctions/arm_fill_q7.c new file mode 100644 index 0000000..fa718b7 --- /dev/null +++ b/fw/hid-dials/Drivers/CMSIS/DSP/Source/SupportFunctions/arm_fill_q7.c @@ -0,0 +1,106 @@ +/* ---------------------------------------------------------------------- + * Project: CMSIS DSP Library + * Title: arm_fill_q7.c + * Description: Fills a constant value into a Q7 vector + * + * $Date: 27. January 2017 + * $Revision: V.1.5.1 + * + * Target Processor: Cortex-M cores + * -------------------------------------------------------------------- */ +/* + * Copyright (C) 2010-2017 ARM Limited or its affiliates. All rights reserved. + * + * SPDX-License-Identifier: Apache-2.0 + * + * Licensed under the Apache License, Version 2.0 (the License); you may + * not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an AS IS BASIS, WITHOUT + * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ + +#include "arm_math.h" + +/** + * @ingroup groupSupport + */ + +/** + * @addtogroup Fill + * @{ + */ + +/** + * @brief Fills a constant value into a Q7 vector. + * @param[in] value input value to be filled + * @param[out] *pDst points to output vector + * @param[in] blockSize length of the output vector + * @return none. + * + */ + +void arm_fill_q7( + q7_t value, + q7_t * pDst, + uint32_t blockSize) +{ + uint32_t blkCnt; /* loop counter */ + +#if defined (ARM_MATH_DSP) + + /* Run the below code for Cortex-M4 and Cortex-M3 */ + + q31_t packedValue; /* value packed to 32 bits */ + + /*loop Unrolling */ + blkCnt = blockSize >> 2U; + + /* Packing four 8 bit values to 32 bit value in order to use SIMD */ + packedValue = __PACKq7(value, value, value, value); + + /* First part of the processing with loop unrolling. Compute 4 outputs at a time. + ** a second loop below computes the remaining 1 to 3 samples. */ + while (blkCnt > 0U) + { + /* C = value */ + /* Fill the value in the destination buffer */ + *__SIMD32(pDst)++ = packedValue; + + /* Decrement the loop counter */ + blkCnt--; + } + + /* If the blockSize is not a multiple of 4, compute any remaining output samples here. + ** No loop unrolling is used. */ + blkCnt = blockSize % 0x4U; + +#else + + /* Run the below code for Cortex-M0 */ + + /* Loop over blockSize number of values */ + blkCnt = blockSize; + +#endif /* #if defined (ARM_MATH_DSP) */ + + while (blkCnt > 0U) + { + /* C = value */ + /* Fill the value in the destination buffer */ + *pDst++ = value; + + /* Decrement the loop counter */ + blkCnt--; + } +} + +/** + * @} end of Fill group + */ diff --git a/fw/hid-dials/Drivers/CMSIS/DSP/Source/SupportFunctions/arm_float_to_q15.c b/fw/hid-dials/Drivers/CMSIS/DSP/Source/SupportFunctions/arm_float_to_q15.c new file mode 100644 index 0000000..b652e7c --- /dev/null +++ b/fw/hid-dials/Drivers/CMSIS/DSP/Source/SupportFunctions/arm_float_to_q15.c @@ -0,0 +1,192 @@ +/* ---------------------------------------------------------------------- + * Project: CMSIS DSP Library + * Title: arm_float_to_q15.c + * Description: Converts the elements of the floating-point vector to Q15 vector + * + * $Date: 27. January 2017 + * $Revision: V.1.5.1 + * + * Target Processor: Cortex-M cores + * -------------------------------------------------------------------- */ +/* + * Copyright (C) 2010-2017 ARM Limited or its affiliates. All rights reserved. + * + * SPDX-License-Identifier: Apache-2.0 + * + * Licensed under the Apache License, Version 2.0 (the License); you may + * not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an AS IS BASIS, WITHOUT + * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ + +#include "arm_math.h" + +/** + * @ingroup groupSupport + */ + +/** + * @addtogroup float_to_x + * @{ + */ + +/** + * @brief Converts the elements of the floating-point vector to Q15 vector. + * @param[in] *pSrc points to the floating-point input vector + * @param[out] *pDst points to the Q15 output vector + * @param[in] blockSize length of the input vector + * @return none. + * + * \par Description: + * \par + * The equation used for the conversion process is: + *
+ * 	pDst[n] = (q15_t)(pSrc[n] * 32768);   0 <= n < blockSize.
+ * 
+ * \par Scaling and Overflow Behavior: + * \par + * The function uses saturating arithmetic. + * Results outside of the allowable Q15 range [0x8000 0x7FFF] will be saturated. + * \note + * In order to apply rounding, the library should be rebuilt with the ROUNDING macro + * defined in the preprocessor section of project options. + * + */ + + +void arm_float_to_q15( + float32_t * pSrc, + q15_t * pDst, + uint32_t blockSize) +{ + float32_t *pIn = pSrc; /* Src pointer */ + uint32_t blkCnt; /* loop counter */ + +#ifdef ARM_MATH_ROUNDING + + float32_t in; + +#endif /* #ifdef ARM_MATH_ROUNDING */ + +#if defined (ARM_MATH_DSP) + + /* Run the below code for Cortex-M4 and Cortex-M3 */ + + /*loop Unrolling */ + blkCnt = blockSize >> 2U; + + /* First part of the processing with loop unrolling. Compute 4 outputs at a time. + ** a second loop below computes the remaining 1 to 3 samples. */ + while (blkCnt > 0U) + { + +#ifdef ARM_MATH_ROUNDING + /* C = A * 32768 */ + /* convert from float to q15 and then store the results in the destination buffer */ + in = *pIn++; + in = (in * 32768.0f); + in += in > 0.0f ? 0.5f : -0.5f; + *pDst++ = (q15_t) (__SSAT((q31_t) (in), 16)); + + in = *pIn++; + in = (in * 32768.0f); + in += in > 0.0f ? 0.5f : -0.5f; + *pDst++ = (q15_t) (__SSAT((q31_t) (in), 16)); + + in = *pIn++; + in = (in * 32768.0f); + in += in > 0.0f ? 0.5f : -0.5f; + *pDst++ = (q15_t) (__SSAT((q31_t) (in), 16)); + + in = *pIn++; + in = (in * 32768.0f); + in += in > 0.0f ? 0.5f : -0.5f; + *pDst++ = (q15_t) (__SSAT((q31_t) (in), 16)); + +#else + + /* C = A * 32768 */ + /* convert from float to q15 and then store the results in the destination buffer */ + *pDst++ = (q15_t) __SSAT((q31_t) (*pIn++ * 32768.0f), 16); + *pDst++ = (q15_t) __SSAT((q31_t) (*pIn++ * 32768.0f), 16); + *pDst++ = (q15_t) __SSAT((q31_t) (*pIn++ * 32768.0f), 16); + *pDst++ = (q15_t) __SSAT((q31_t) (*pIn++ * 32768.0f), 16); + +#endif /* #ifdef ARM_MATH_ROUNDING */ + + /* Decrement the loop counter */ + blkCnt--; + } + + /* If the blockSize is not a multiple of 4, compute any remaining output samples here. + ** No loop unrolling is used. */ + blkCnt = blockSize % 0x4U; + + while (blkCnt > 0U) + { + +#ifdef ARM_MATH_ROUNDING + /* C = A * 32768 */ + /* convert from float to q15 and then store the results in the destination buffer */ + in = *pIn++; + in = (in * 32768.0f); + in += in > 0.0f ? 0.5f : -0.5f; + *pDst++ = (q15_t) (__SSAT((q31_t) (in), 16)); + +#else + + /* C = A * 32768 */ + /* convert from float to q15 and then store the results in the destination buffer */ + *pDst++ = (q15_t) __SSAT((q31_t) (*pIn++ * 32768.0f), 16); + +#endif /* #ifdef ARM_MATH_ROUNDING */ + + /* Decrement the loop counter */ + blkCnt--; + } + + +#else + + /* Run the below code for Cortex-M0 */ + + /* Loop over blockSize number of values */ + blkCnt = blockSize; + + while (blkCnt > 0U) + { + +#ifdef ARM_MATH_ROUNDING + /* C = A * 32768 */ + /* convert from float to q15 and then store the results in the destination buffer */ + in = *pIn++; + in = (in * 32768.0f); + in += in > 0 ? 0.5f : -0.5f; + *pDst++ = (q15_t) (__SSAT((q31_t) (in), 16)); + +#else + + /* C = A * 32768 */ + /* convert from float to q15 and then store the results in the destination buffer */ + *pDst++ = (q15_t) __SSAT((q31_t) (*pIn++ * 32768.0f), 16); + +#endif /* #ifdef ARM_MATH_ROUNDING */ + + /* Decrement the loop counter */ + blkCnt--; + } + +#endif /* #if defined (ARM_MATH_DSP) */ + +} + +/** + * @} end of float_to_x group + */ diff --git a/fw/hid-dials/Drivers/CMSIS/DSP/Source/SupportFunctions/arm_float_to_q31.c b/fw/hid-dials/Drivers/CMSIS/DSP/Source/SupportFunctions/arm_float_to_q31.c new file mode 100644 index 0000000..7ce1402 --- /dev/null +++ b/fw/hid-dials/Drivers/CMSIS/DSP/Source/SupportFunctions/arm_float_to_q31.c @@ -0,0 +1,199 @@ +/* ---------------------------------------------------------------------- + * Project: CMSIS DSP Library + * Title: arm_float_to_q31.c + * Description: Converts the elements of the floating-point vector to Q31 vector + * + * $Date: 27. January 2017 + * $Revision: V.1.5.1 + * + * Target Processor: Cortex-M cores + * -------------------------------------------------------------------- */ +/* + * Copyright (C) 2010-2017 ARM Limited or its affiliates. All rights reserved. + * + * SPDX-License-Identifier: Apache-2.0 + * + * Licensed under the Apache License, Version 2.0 (the License); you may + * not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an AS IS BASIS, WITHOUT + * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ + +#include "arm_math.h" + +/** + * @ingroup groupSupport + */ + +/** + * @defgroup float_to_x Convert 32-bit floating point value + */ + +/** + * @addtogroup float_to_x + * @{ + */ + +/** + * @brief Converts the elements of the floating-point vector to Q31 vector. + * @param[in] *pSrc points to the floating-point input vector + * @param[out] *pDst points to the Q31 output vector + * @param[in] blockSize length of the input vector + * @return none. + * + *\par Description: + * \par + * The equation used for the conversion process is: + * + *
+ * 	pDst[n] = (q31_t)(pSrc[n] * 2147483648);   0 <= n < blockSize.
+ * 
+ * Scaling and Overflow Behavior: + * \par + * The function uses saturating arithmetic. + * Results outside of the allowable Q31 range[0x80000000 0x7FFFFFFF] will be saturated. + * + * \note In order to apply rounding, the library should be rebuilt with the ROUNDING macro + * defined in the preprocessor section of project options. + */ + + +void arm_float_to_q31( + float32_t * pSrc, + q31_t * pDst, + uint32_t blockSize) +{ + float32_t *pIn = pSrc; /* Src pointer */ + uint32_t blkCnt; /* loop counter */ + +#ifdef ARM_MATH_ROUNDING + + float32_t in; + +#endif /* #ifdef ARM_MATH_ROUNDING */ + +#if defined (ARM_MATH_DSP) + + /* Run the below code for Cortex-M4 and Cortex-M3 */ + + /*loop Unrolling */ + blkCnt = blockSize >> 2U; + + /* First part of the processing with loop unrolling. Compute 4 outputs at a time. + ** a second loop below computes the remaining 1 to 3 samples. */ + while (blkCnt > 0U) + { + +#ifdef ARM_MATH_ROUNDING + + /* C = A * 32768 */ + /* convert from float to Q31 and then store the results in the destination buffer */ + in = *pIn++; + in = (in * 2147483648.0f); + in += in > 0.0f ? 0.5f : -0.5f; + *pDst++ = clip_q63_to_q31((q63_t) (in)); + + in = *pIn++; + in = (in * 2147483648.0f); + in += in > 0.0f ? 0.5f : -0.5f; + *pDst++ = clip_q63_to_q31((q63_t) (in)); + + in = *pIn++; + in = (in * 2147483648.0f); + in += in > 0.0f ? 0.5f : -0.5f; + *pDst++ = clip_q63_to_q31((q63_t) (in)); + + in = *pIn++; + in = (in * 2147483648.0f); + in += in > 0.0f ? 0.5f : -0.5f; + *pDst++ = clip_q63_to_q31((q63_t) (in)); + +#else + + /* C = A * 2147483648 */ + /* convert from float to Q31 and then store the results in the destination buffer */ + *pDst++ = clip_q63_to_q31((q63_t) (*pIn++ * 2147483648.0f)); + *pDst++ = clip_q63_to_q31((q63_t) (*pIn++ * 2147483648.0f)); + *pDst++ = clip_q63_to_q31((q63_t) (*pIn++ * 2147483648.0f)); + *pDst++ = clip_q63_to_q31((q63_t) (*pIn++ * 2147483648.0f)); + +#endif /* #ifdef ARM_MATH_ROUNDING */ + + /* Decrement the loop counter */ + blkCnt--; + } + + /* If the blockSize is not a multiple of 4, compute any remaining output samples here. + ** No loop unrolling is used. */ + blkCnt = blockSize % 0x4U; + + while (blkCnt > 0U) + { + +#ifdef ARM_MATH_ROUNDING + + /* C = A * 2147483648 */ + /* convert from float to Q31 and then store the results in the destination buffer */ + in = *pIn++; + in = (in * 2147483648.0f); + in += in > 0.0f ? 0.5f : -0.5f; + *pDst++ = clip_q63_to_q31((q63_t) (in)); + +#else + + /* C = A * 2147483648 */ + /* convert from float to Q31 and then store the results in the destination buffer */ + *pDst++ = clip_q63_to_q31((q63_t) (*pIn++ * 2147483648.0f)); + +#endif /* #ifdef ARM_MATH_ROUNDING */ + + /* Decrement the loop counter */ + blkCnt--; + } + + +#else + + /* Run the below code for Cortex-M0 */ + + /* Loop over blockSize number of values */ + blkCnt = blockSize; + + while (blkCnt > 0U) + { + +#ifdef ARM_MATH_ROUNDING + + /* C = A * 2147483648 */ + /* convert from float to Q31 and then store the results in the destination buffer */ + in = *pIn++; + in = (in * 2147483648.0f); + in += in > 0 ? 0.5f : -0.5f; + *pDst++ = clip_q63_to_q31((q63_t) (in)); + +#else + + /* C = A * 2147483648 */ + /* convert from float to Q31 and then store the results in the destination buffer */ + *pDst++ = clip_q63_to_q31((q63_t) (*pIn++ * 2147483648.0f)); + +#endif /* #ifdef ARM_MATH_ROUNDING */ + + /* Decrement the loop counter */ + blkCnt--; + } + +#endif /* #if defined (ARM_MATH_DSP) */ + +} + +/** + * @} end of float_to_x group + */ diff --git a/fw/hid-dials/Drivers/CMSIS/DSP/Source/SupportFunctions/arm_float_to_q7.c b/fw/hid-dials/Drivers/CMSIS/DSP/Source/SupportFunctions/arm_float_to_q7.c new file mode 100644 index 0000000..7fd3f2c --- /dev/null +++ b/fw/hid-dials/Drivers/CMSIS/DSP/Source/SupportFunctions/arm_float_to_q7.c @@ -0,0 +1,191 @@ +/* ---------------------------------------------------------------------- + * Project: CMSIS DSP Library + * Title: arm_float_to_q7.c + * Description: Converts the elements of the floating-point vector to Q7 vector + * + * $Date: 27. January 2017 + * $Revision: V.1.5.1 + * + * Target Processor: Cortex-M cores + * -------------------------------------------------------------------- */ +/* + * Copyright (C) 2010-2017 ARM Limited or its affiliates. All rights reserved. + * + * SPDX-License-Identifier: Apache-2.0 + * + * Licensed under the Apache License, Version 2.0 (the License); you may + * not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an AS IS BASIS, WITHOUT + * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ + +#include "arm_math.h" + +/** + * @ingroup groupSupport + */ + +/** + * @addtogroup float_to_x + * @{ + */ + +/** + * @brief Converts the elements of the floating-point vector to Q7 vector. + * @param[in] *pSrc points to the floating-point input vector + * @param[out] *pDst points to the Q7 output vector + * @param[in] blockSize length of the input vector + * @return none. + * + *\par Description: + * \par + * The equation used for the conversion process is: + *
+ * 	pDst[n] = (q7_t)(pSrc[n] * 128);   0 <= n < blockSize.
+ * 
+ * \par Scaling and Overflow Behavior: + * \par + * The function uses saturating arithmetic. + * Results outside of the allowable Q7 range [0x80 0x7F] will be saturated. + * \note + * In order to apply rounding, the library should be rebuilt with the ROUNDING macro + * defined in the preprocessor section of project options. + */ + + +void arm_float_to_q7( + float32_t * pSrc, + q7_t * pDst, + uint32_t blockSize) +{ + float32_t *pIn = pSrc; /* Src pointer */ + uint32_t blkCnt; /* loop counter */ + +#ifdef ARM_MATH_ROUNDING + + float32_t in; + +#endif /* #ifdef ARM_MATH_ROUNDING */ + +#if defined (ARM_MATH_DSP) + + /* Run the below code for Cortex-M4 and Cortex-M3 */ + + /*loop Unrolling */ + blkCnt = blockSize >> 2U; + + /* First part of the processing with loop unrolling. Compute 4 outputs at a time. + ** a second loop below computes the remaining 1 to 3 samples. */ + while (blkCnt > 0U) + { + +#ifdef ARM_MATH_ROUNDING + /* C = A * 128 */ + /* convert from float to q7 and then store the results in the destination buffer */ + in = *pIn++; + in = (in * 128); + in += in > 0.0f ? 0.5f : -0.5f; + *pDst++ = (q7_t) (__SSAT((q15_t) (in), 8)); + + in = *pIn++; + in = (in * 128); + in += in > 0.0f ? 0.5f : -0.5f; + *pDst++ = (q7_t) (__SSAT((q15_t) (in), 8)); + + in = *pIn++; + in = (in * 128); + in += in > 0.0f ? 0.5f : -0.5f; + *pDst++ = (q7_t) (__SSAT((q15_t) (in), 8)); + + in = *pIn++; + in = (in * 128); + in += in > 0.0f ? 0.5f : -0.5f; + *pDst++ = (q7_t) (__SSAT((q15_t) (in), 8)); + +#else + + /* C = A * 128 */ + /* convert from float to q7 and then store the results in the destination buffer */ + *pDst++ = __SSAT((q31_t) (*pIn++ * 128.0f), 8); + *pDst++ = __SSAT((q31_t) (*pIn++ * 128.0f), 8); + *pDst++ = __SSAT((q31_t) (*pIn++ * 128.0f), 8); + *pDst++ = __SSAT((q31_t) (*pIn++ * 128.0f), 8); + +#endif /* #ifdef ARM_MATH_ROUNDING */ + + /* Decrement the loop counter */ + blkCnt--; + } + + /* If the blockSize is not a multiple of 4, compute any remaining output samples here. + ** No loop unrolling is used. */ + blkCnt = blockSize % 0x4U; + + while (blkCnt > 0U) + { + +#ifdef ARM_MATH_ROUNDING + /* C = A * 128 */ + /* convert from float to q7 and then store the results in the destination buffer */ + in = *pIn++; + in = (in * 128); + in += in > 0.0f ? 0.5f : -0.5f; + *pDst++ = (q7_t) (__SSAT((q15_t) (in), 8)); + +#else + + /* C = A * 128 */ + /* convert from float to q7 and then store the results in the destination buffer */ + *pDst++ = __SSAT((q31_t) (*pIn++ * 128.0f), 8); + +#endif /* #ifdef ARM_MATH_ROUNDING */ + + /* Decrement the loop counter */ + blkCnt--; + } + + +#else + + /* Run the below code for Cortex-M0 */ + + + /* Loop over blockSize number of values */ + blkCnt = blockSize; + + while (blkCnt > 0U) + { +#ifdef ARM_MATH_ROUNDING + /* C = A * 128 */ + /* convert from float to q7 and then store the results in the destination buffer */ + in = *pIn++; + in = (in * 128.0f); + in += in > 0 ? 0.5f : -0.5f; + *pDst++ = (q7_t) (__SSAT((q31_t) (in), 8)); + +#else + + /* C = A * 128 */ + /* convert from float to q7 and then store the results in the destination buffer */ + *pDst++ = (q7_t) __SSAT((q31_t) (*pIn++ * 128.0f), 8); + +#endif /* #ifdef ARM_MATH_ROUNDING */ + + /* Decrement the loop counter */ + blkCnt--; + } + +#endif /* #if defined (ARM_MATH_DSP) */ + +} + +/** + * @} end of float_to_x group + */ diff --git a/fw/hid-dials/Drivers/CMSIS/DSP/Source/SupportFunctions/arm_q15_to_float.c b/fw/hid-dials/Drivers/CMSIS/DSP/Source/SupportFunctions/arm_q15_to_float.c new file mode 100644 index 0000000..442ba9f --- /dev/null +++ b/fw/hid-dials/Drivers/CMSIS/DSP/Source/SupportFunctions/arm_q15_to_float.c @@ -0,0 +1,122 @@ +/* ---------------------------------------------------------------------- + * Project: CMSIS DSP Library + * Title: arm_q15_to_float.c + * Description: Converts the elements of the Q15 vector to floating-point vector + * + * $Date: 27. January 2017 + * $Revision: V.1.5.1 + * + * Target Processor: Cortex-M cores + * -------------------------------------------------------------------- */ +/* + * Copyright (C) 2010-2017 ARM Limited or its affiliates. All rights reserved. + * + * SPDX-License-Identifier: Apache-2.0 + * + * Licensed under the Apache License, Version 2.0 (the License); you may + * not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an AS IS BASIS, WITHOUT + * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ + +#include "arm_math.h" + +/** + * @ingroup groupSupport + */ + +/** + * @defgroup q15_to_x Convert 16-bit Integer value + */ + +/** + * @addtogroup q15_to_x + * @{ + */ + + + + +/** + * @brief Converts the elements of the Q15 vector to floating-point vector. + * @param[in] *pSrc points to the Q15 input vector + * @param[out] *pDst points to the floating-point output vector + * @param[in] blockSize length of the input vector + * @return none. + * + * \par Description: + * + * The equation used for the conversion process is: + * + *
+ * 	pDst[n] = (float32_t) pSrc[n] / 32768;   0 <= n < blockSize.
+ * 
+ * + */ + + +void arm_q15_to_float( + q15_t * pSrc, + float32_t * pDst, + uint32_t blockSize) +{ + q15_t *pIn = pSrc; /* Src pointer */ + uint32_t blkCnt; /* loop counter */ + + +#if defined (ARM_MATH_DSP) + + /* Run the below code for Cortex-M4 and Cortex-M3 */ + + /*loop Unrolling */ + blkCnt = blockSize >> 2U; + + /* First part of the processing with loop unrolling. Compute 4 outputs at a time. + ** a second loop below computes the remaining 1 to 3 samples. */ + while (blkCnt > 0U) + { + /* C = (float32_t) A / 32768 */ + /* convert from q15 to float and then store the results in the destination buffer */ + *pDst++ = ((float32_t) * pIn++ / 32768.0f); + *pDst++ = ((float32_t) * pIn++ / 32768.0f); + *pDst++ = ((float32_t) * pIn++ / 32768.0f); + *pDst++ = ((float32_t) * pIn++ / 32768.0f); + + /* Decrement the loop counter */ + blkCnt--; + } + + /* If the blockSize is not a multiple of 4, compute any remaining output samples here. + ** No loop unrolling is used. */ + blkCnt = blockSize % 0x4U; + +#else + + /* Run the below code for Cortex-M0 */ + + /* Loop over blockSize number of values */ + blkCnt = blockSize; + +#endif /* #if defined (ARM_MATH_DSP) */ + + while (blkCnt > 0U) + { + /* C = (float32_t) A / 32768 */ + /* convert from q15 to float and then store the results in the destination buffer */ + *pDst++ = ((float32_t) * pIn++ / 32768.0f); + + /* Decrement the loop counter */ + blkCnt--; + } +} + +/** + * @} end of q15_to_x group + */ diff --git a/fw/hid-dials/Drivers/CMSIS/DSP/Source/SupportFunctions/arm_q15_to_q31.c b/fw/hid-dials/Drivers/CMSIS/DSP/Source/SupportFunctions/arm_q15_to_q31.c new file mode 100644 index 0000000..2dff322 --- /dev/null +++ b/fw/hid-dials/Drivers/CMSIS/DSP/Source/SupportFunctions/arm_q15_to_q31.c @@ -0,0 +1,144 @@ +/* ---------------------------------------------------------------------- + * Project: CMSIS DSP Library + * Title: arm_q15_to_q31.c + * Description: Converts the elements of the Q15 vector to Q31 vector + * + * $Date: 27. January 2017 + * $Revision: V.1.5.1 + * + * Target Processor: Cortex-M cores + * -------------------------------------------------------------------- */ +/* + * Copyright (C) 2010-2017 ARM Limited or its affiliates. All rights reserved. + * + * SPDX-License-Identifier: Apache-2.0 + * + * Licensed under the Apache License, Version 2.0 (the License); you may + * not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an AS IS BASIS, WITHOUT + * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ + +#include "arm_math.h" + +/** + * @ingroup groupSupport + */ + +/** + * @addtogroup q15_to_x + * @{ + */ + +/** + * @brief Converts the elements of the Q15 vector to Q31 vector. + * @param[in] *pSrc points to the Q15 input vector + * @param[out] *pDst points to the Q31 output vector + * @param[in] blockSize length of the input vector + * @return none. + * + * \par Description: + * + * The equation used for the conversion process is: + * + *
+ * 	pDst[n] = (q31_t) pSrc[n] << 16;   0 <= n < blockSize.
+ * 
+ * + */ + + +void arm_q15_to_q31( + q15_t * pSrc, + q31_t * pDst, + uint32_t blockSize) +{ + q15_t *pIn = pSrc; /* Src pointer */ + uint32_t blkCnt; /* loop counter */ + +#if defined (ARM_MATH_DSP) + + /* Run the below code for Cortex-M4 and Cortex-M3 */ + q31_t in1, in2; + q31_t out1, out2, out3, out4; + + /*loop Unrolling */ + blkCnt = blockSize >> 2U; + + /* First part of the processing with loop unrolling. Compute 4 outputs at a time. + ** a second loop below computes the remaining 1 to 3 samples. */ + while (blkCnt > 0U) + { + /* C = (q31_t)A << 16 */ + /* convert from q15 to q31 and then store the results in the destination buffer */ + in1 = *__SIMD32(pIn)++; + in2 = *__SIMD32(pIn)++; + +#ifndef ARM_MATH_BIG_ENDIAN + + /* extract lower 16 bits to 32 bit result */ + out1 = in1 << 16U; + /* extract upper 16 bits to 32 bit result */ + out2 = in1 & 0xFFFF0000; + /* extract lower 16 bits to 32 bit result */ + out3 = in2 << 16U; + /* extract upper 16 bits to 32 bit result */ + out4 = in2 & 0xFFFF0000; + +#else + + /* extract upper 16 bits to 32 bit result */ + out1 = in1 & 0xFFFF0000; + /* extract lower 16 bits to 32 bit result */ + out2 = in1 << 16U; + /* extract upper 16 bits to 32 bit result */ + out3 = in2 & 0xFFFF0000; + /* extract lower 16 bits to 32 bit result */ + out4 = in2 << 16U; + +#endif // #ifndef ARM_MATH_BIG_ENDIAN + + *pDst++ = out1; + *pDst++ = out2; + *pDst++ = out3; + *pDst++ = out4; + + /* Decrement the loop counter */ + blkCnt--; + } + + /* If the blockSize is not a multiple of 4, compute any remaining output samples here. + ** No loop unrolling is used. */ + blkCnt = blockSize % 0x4U; + +#else + + /* Run the below code for Cortex-M0 */ + + /* Loop over blockSize number of values */ + blkCnt = blockSize; + +#endif /* #if defined (ARM_MATH_DSP) */ + + while (blkCnt > 0U) + { + /* C = (q31_t)A << 16 */ + /* convert from q15 to q31 and then store the results in the destination buffer */ + *pDst++ = (q31_t) * pIn++ << 16; + + /* Decrement the loop counter */ + blkCnt--; + } + +} + +/** + * @} end of q15_to_x group + */ diff --git a/fw/hid-dials/Drivers/CMSIS/DSP/Source/SupportFunctions/arm_q15_to_q7.c b/fw/hid-dials/Drivers/CMSIS/DSP/Source/SupportFunctions/arm_q15_to_q7.c new file mode 100644 index 0000000..26a35e7 --- /dev/null +++ b/fw/hid-dials/Drivers/CMSIS/DSP/Source/SupportFunctions/arm_q15_to_q7.c @@ -0,0 +1,142 @@ +/* ---------------------------------------------------------------------- + * Project: CMSIS DSP Library + * Title: arm_q15_to_q7.c + * Description: Converts the elements of the Q15 vector to Q7 vector + * + * $Date: 27. January 2017 + * $Revision: V.1.5.1 + * + * Target Processor: Cortex-M cores + * -------------------------------------------------------------------- */ +/* + * Copyright (C) 2010-2017 ARM Limited or its affiliates. All rights reserved. + * + * SPDX-License-Identifier: Apache-2.0 + * + * Licensed under the Apache License, Version 2.0 (the License); you may + * not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an AS IS BASIS, WITHOUT + * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ + +#include "arm_math.h" + +/** + * @ingroup groupSupport + */ + +/** + * @addtogroup q15_to_x + * @{ + */ + + +/** + * @brief Converts the elements of the Q15 vector to Q7 vector. + * @param[in] *pSrc points to the Q15 input vector + * @param[out] *pDst points to the Q7 output vector + * @param[in] blockSize length of the input vector + * @return none. + * + * \par Description: + * + * The equation used for the conversion process is: + * + *
+ * 	pDst[n] = (q7_t) pSrc[n] >> 8;   0 <= n < blockSize.
+ * 
+ * + */ + + +void arm_q15_to_q7( + q15_t * pSrc, + q7_t * pDst, + uint32_t blockSize) +{ + q15_t *pIn = pSrc; /* Src pointer */ + uint32_t blkCnt; /* loop counter */ + +#if defined (ARM_MATH_DSP) + + /* Run the below code for Cortex-M4 and Cortex-M3 */ + q31_t in1, in2; + q31_t out1, out2; + + /*loop Unrolling */ + blkCnt = blockSize >> 2U; + + /* First part of the processing with loop unrolling. Compute 4 outputs at a time. + ** a second loop below computes the remaining 1 to 3 samples. */ + while (blkCnt > 0U) + { + /* C = (q7_t) A >> 8 */ + /* convert from q15 to q7 and then store the results in the destination buffer */ + in1 = *__SIMD32(pIn)++; + in2 = *__SIMD32(pIn)++; + +#ifndef ARM_MATH_BIG_ENDIAN + + out1 = __PKHTB(in2, in1, 16); + out2 = __PKHBT(in2, in1, 16); + +#else + + out1 = __PKHTB(in1, in2, 16); + out2 = __PKHBT(in1, in2, 16); + +#endif // #ifndef ARM_MATH_BIG_ENDIAN + + /* rotate packed value by 24 */ + out2 = ((uint32_t) out2 << 8) | ((uint32_t) out2 >> 24); + + /* anding with 0xff00ff00 to get two 8 bit values */ + out1 = out1 & 0xFF00FF00; + /* anding with 0x00ff00ff to get two 8 bit values */ + out2 = out2 & 0x00FF00FF; + + /* oring two values(contains two 8 bit values) to get four packed 8 bit values */ + out1 = out1 | out2; + + /* store 4 samples at a time to destiantion buffer */ + *__SIMD32(pDst)++ = out1; + + /* Decrement the loop counter */ + blkCnt--; + } + + /* If the blockSize is not a multiple of 4, compute any remaining output samples here. + ** No loop unrolling is used. */ + blkCnt = blockSize % 0x4U; + +#else + + /* Run the below code for Cortex-M0 */ + + /* Loop over blockSize number of values */ + blkCnt = blockSize; + +#endif /* #if defined (ARM_MATH_DSP) */ + + while (blkCnt > 0U) + { + /* C = (q7_t) A >> 8 */ + /* convert from q15 to q7 and then store the results in the destination buffer */ + *pDst++ = (q7_t) (*pIn++ >> 8); + + /* Decrement the loop counter */ + blkCnt--; + } + +} + +/** + * @} end of q15_to_x group + */ diff --git a/fw/hid-dials/Drivers/CMSIS/DSP/Source/SupportFunctions/arm_q31_to_float.c b/fw/hid-dials/Drivers/CMSIS/DSP/Source/SupportFunctions/arm_q31_to_float.c new file mode 100644 index 0000000..b15d90e --- /dev/null +++ b/fw/hid-dials/Drivers/CMSIS/DSP/Source/SupportFunctions/arm_q31_to_float.c @@ -0,0 +1,119 @@ +/* ---------------------------------------------------------------------- + * Project: CMSIS DSP Library + * Title: arm_q31_to_float.c + * Description: Converts the elements of the Q31 vector to floating-point vector + * + * $Date: 27. January 2017 + * $Revision: V.1.5.1 + * + * Target Processor: Cortex-M cores + * -------------------------------------------------------------------- */ +/* + * Copyright (C) 2010-2017 ARM Limited or its affiliates. All rights reserved. + * + * SPDX-License-Identifier: Apache-2.0 + * + * Licensed under the Apache License, Version 2.0 (the License); you may + * not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an AS IS BASIS, WITHOUT + * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ + +#include "arm_math.h" + +/** + * @ingroup groupSupport + */ + +/** + * @defgroup q31_to_x Convert 32-bit Integer value + */ + +/** + * @addtogroup q31_to_x + * @{ + */ + +/** + * @brief Converts the elements of the Q31 vector to floating-point vector. + * @param[in] *pSrc points to the Q31 input vector + * @param[out] *pDst points to the floating-point output vector + * @param[in] blockSize length of the input vector + * @return none. + * + * \par Description: + * + * The equation used for the conversion process is: + * + *
+ * 	pDst[n] = (float32_t) pSrc[n] / 2147483648;   0 <= n < blockSize.
+ * 
+ * + */ + + +void arm_q31_to_float( + q31_t * pSrc, + float32_t * pDst, + uint32_t blockSize) +{ + q31_t *pIn = pSrc; /* Src pointer */ + uint32_t blkCnt; /* loop counter */ + + +#if defined (ARM_MATH_DSP) + + /* Run the below code for Cortex-M4 and Cortex-M3 */ + + /*loop Unrolling */ + blkCnt = blockSize >> 2U; + + /* First part of the processing with loop unrolling. Compute 4 outputs at a time. + ** a second loop below computes the remaining 1 to 3 samples. */ + while (blkCnt > 0U) + { + /* C = (float32_t) A / 2147483648 */ + /* convert from q31 to float and then store the results in the destination buffer */ + *pDst++ = ((float32_t) * pIn++ / 2147483648.0f); + *pDst++ = ((float32_t) * pIn++ / 2147483648.0f); + *pDst++ = ((float32_t) * pIn++ / 2147483648.0f); + *pDst++ = ((float32_t) * pIn++ / 2147483648.0f); + + /* Decrement the loop counter */ + blkCnt--; + } + + /* If the blockSize is not a multiple of 4, compute any remaining output samples here. + ** No loop unrolling is used. */ + blkCnt = blockSize % 0x4U; + +#else + + /* Run the below code for Cortex-M0 */ + + /* Loop over blockSize number of values */ + blkCnt = blockSize; + +#endif /* #if defined (ARM_MATH_DSP) */ + + while (blkCnt > 0U) + { + /* C = (float32_t) A / 2147483648 */ + /* convert from q31 to float and then store the results in the destination buffer */ + *pDst++ = ((float32_t) * pIn++ / 2147483648.0f); + + /* Decrement the loop counter */ + blkCnt--; + } +} + +/** + * @} end of q31_to_x group + */ diff --git a/fw/hid-dials/Drivers/CMSIS/DSP/Source/SupportFunctions/arm_q31_to_q15.c b/fw/hid-dials/Drivers/CMSIS/DSP/Source/SupportFunctions/arm_q31_to_q15.c new file mode 100644 index 0000000..2fd305b --- /dev/null +++ b/fw/hid-dials/Drivers/CMSIS/DSP/Source/SupportFunctions/arm_q31_to_q15.c @@ -0,0 +1,133 @@ +/* ---------------------------------------------------------------------- + * Project: CMSIS DSP Library + * Title: arm_q31_to_q15.c + * Description: Converts the elements of the Q31 vector to Q15 vector + * + * $Date: 27. January 2017 + * $Revision: V.1.5.1 + * + * Target Processor: Cortex-M cores + * -------------------------------------------------------------------- */ +/* + * Copyright (C) 2010-2017 ARM Limited or its affiliates. All rights reserved. + * + * SPDX-License-Identifier: Apache-2.0 + * + * Licensed under the Apache License, Version 2.0 (the License); you may + * not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an AS IS BASIS, WITHOUT + * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ + +#include "arm_math.h" + +/** + * @ingroup groupSupport + */ + +/** + * @addtogroup q31_to_x + * @{ + */ + +/** + * @brief Converts the elements of the Q31 vector to Q15 vector. + * @param[in] *pSrc points to the Q31 input vector + * @param[out] *pDst points to the Q15 output vector + * @param[in] blockSize length of the input vector + * @return none. + * + * \par Description: + * + * The equation used for the conversion process is: + * + *
+ * 	pDst[n] = (q15_t) pSrc[n] >> 16;   0 <= n < blockSize.
+ * 
+ * + */ + + +void arm_q31_to_q15( + q31_t * pSrc, + q15_t * pDst, + uint32_t blockSize) +{ + q31_t *pIn = pSrc; /* Src pointer */ + uint32_t blkCnt; /* loop counter */ + +#if defined (ARM_MATH_DSP) + + /* Run the below code for Cortex-M4 and Cortex-M3 */ + q31_t in1, in2, in3, in4; + q31_t out1, out2; + + /*loop Unrolling */ + blkCnt = blockSize >> 2U; + + /* First part of the processing with loop unrolling. Compute 4 outputs at a time. + ** a second loop below computes the remaining 1 to 3 samples. */ + while (blkCnt > 0U) + { + /* C = (q15_t) A >> 16 */ + /* convert from q31 to q15 and then store the results in the destination buffer */ + in1 = *pIn++; + in2 = *pIn++; + in3 = *pIn++; + in4 = *pIn++; + + /* pack two higher 16-bit values from two 32-bit values */ +#ifndef ARM_MATH_BIG_ENDIAN + + out1 = __PKHTB(in2, in1, 16); + out2 = __PKHTB(in4, in3, 16); + +#else + + out1 = __PKHTB(in1, in2, 16); + out2 = __PKHTB(in3, in4, 16); + +#endif // #ifdef ARM_MATH_BIG_ENDIAN + + *__SIMD32(pDst)++ = out1; + *__SIMD32(pDst)++ = out2; + + /* Decrement the loop counter */ + blkCnt--; + } + + /* If the blockSize is not a multiple of 4, compute any remaining output samples here. + ** No loop unrolling is used. */ + blkCnt = blockSize % 0x4U; + +#else + + /* Run the below code for Cortex-M0 */ + + /* Loop over blockSize number of values */ + blkCnt = blockSize; + +#endif /* #if defined (ARM_MATH_DSP) */ + + while (blkCnt > 0U) + { + /* C = (q15_t) A >> 16 */ + /* convert from q31 to q15 and then store the results in the destination buffer */ + *pDst++ = (q15_t) (*pIn++ >> 16); + + /* Decrement the loop counter */ + blkCnt--; + } + +} + +/** + * @} end of q31_to_x group + */ diff --git a/fw/hid-dials/Drivers/CMSIS/DSP/Source/SupportFunctions/arm_q31_to_q7.c b/fw/hid-dials/Drivers/CMSIS/DSP/Source/SupportFunctions/arm_q31_to_q7.c new file mode 100644 index 0000000..6586861 --- /dev/null +++ b/fw/hid-dials/Drivers/CMSIS/DSP/Source/SupportFunctions/arm_q31_to_q7.c @@ -0,0 +1,124 @@ +/* ---------------------------------------------------------------------- + * Project: CMSIS DSP Library + * Title: arm_q31_to_q7.c + * Description: Converts the elements of the Q31 vector to Q7 vector + * + * $Date: 27. January 2017 + * $Revision: V.1.5.1 + * + * Target Processor: Cortex-M cores + * -------------------------------------------------------------------- */ +/* + * Copyright (C) 2010-2017 ARM Limited or its affiliates. All rights reserved. + * + * SPDX-License-Identifier: Apache-2.0 + * + * Licensed under the Apache License, Version 2.0 (the License); you may + * not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an AS IS BASIS, WITHOUT + * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ + +#include "arm_math.h" + +/** + * @ingroup groupSupport + */ + +/** + * @addtogroup q31_to_x + * @{ + */ + +/** + * @brief Converts the elements of the Q31 vector to Q7 vector. + * @param[in] *pSrc points to the Q31 input vector + * @param[out] *pDst points to the Q7 output vector + * @param[in] blockSize length of the input vector + * @return none. + * + * \par Description: + * + * The equation used for the conversion process is: + * + *
+ * 	pDst[n] = (q7_t) pSrc[n] >> 24;   0 <= n < blockSize.
+ * 
+ * + */ + + +void arm_q31_to_q7( + q31_t * pSrc, + q7_t * pDst, + uint32_t blockSize) +{ + q31_t *pIn = pSrc; /* Src pointer */ + uint32_t blkCnt; /* loop counter */ + +#if defined (ARM_MATH_DSP) + + /* Run the below code for Cortex-M4 and Cortex-M3 */ + q31_t in1, in2, in3, in4; + q7_t out1, out2, out3, out4; + + /*loop Unrolling */ + blkCnt = blockSize >> 2U; + + /* First part of the processing with loop unrolling. Compute 4 outputs at a time. + ** a second loop below computes the remaining 1 to 3 samples. */ + while (blkCnt > 0U) + { + /* C = (q7_t) A >> 24 */ + /* convert from q31 to q7 and then store the results in the destination buffer */ + in1 = *pIn++; + in2 = *pIn++; + in3 = *pIn++; + in4 = *pIn++; + + out1 = (q7_t) (in1 >> 24); + out2 = (q7_t) (in2 >> 24); + out3 = (q7_t) (in3 >> 24); + out4 = (q7_t) (in4 >> 24); + + *__SIMD32(pDst)++ = __PACKq7(out1, out2, out3, out4); + + /* Decrement the loop counter */ + blkCnt--; + } + + /* If the blockSize is not a multiple of 4, compute any remaining output samples here. + ** No loop unrolling is used. */ + blkCnt = blockSize % 0x4U; + +#else + + /* Run the below code for Cortex-M0 */ + + /* Loop over blockSize number of values */ + blkCnt = blockSize; + +#endif /* #if defined (ARM_MATH_DSP) */ + + while (blkCnt > 0U) + { + /* C = (q7_t) A >> 24 */ + /* convert from q31 to q7 and then store the results in the destination buffer */ + *pDst++ = (q7_t) (*pIn++ >> 24); + + /* Decrement the loop counter */ + blkCnt--; + } + +} + +/** + * @} end of q31_to_x group + */ diff --git a/fw/hid-dials/Drivers/CMSIS/DSP/Source/SupportFunctions/arm_q7_to_float.c b/fw/hid-dials/Drivers/CMSIS/DSP/Source/SupportFunctions/arm_q7_to_float.c new file mode 100644 index 0000000..d866501 --- /dev/null +++ b/fw/hid-dials/Drivers/CMSIS/DSP/Source/SupportFunctions/arm_q7_to_float.c @@ -0,0 +1,119 @@ +/* ---------------------------------------------------------------------- + * Project: CMSIS DSP Library + * Title: arm_q7_to_float.c + * Description: Converts the elements of the Q7 vector to floating-point vector + * + * $Date: 27. January 2017 + * $Revision: V.1.5.1 + * + * Target Processor: Cortex-M cores + * -------------------------------------------------------------------- */ +/* + * Copyright (C) 2010-2017 ARM Limited or its affiliates. All rights reserved. + * + * SPDX-License-Identifier: Apache-2.0 + * + * Licensed under the Apache License, Version 2.0 (the License); you may + * not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an AS IS BASIS, WITHOUT + * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ + +#include "arm_math.h" + +/** + * @ingroup groupSupport + */ + +/** + * @defgroup q7_to_x Convert 8-bit Integer value + */ + +/** + * @addtogroup q7_to_x + * @{ + */ + +/** + * @brief Converts the elements of the Q7 vector to floating-point vector. + * @param[in] *pSrc points to the Q7 input vector + * @param[out] *pDst points to the floating-point output vector + * @param[in] blockSize length of the input vector + * @return none. + * + * \par Description: + * + * The equation used for the conversion process is: + * + *
+ * 	pDst[n] = (float32_t) pSrc[n] / 128;   0 <= n < blockSize.
+ * 
+ * + */ + + +void arm_q7_to_float( + q7_t * pSrc, + float32_t * pDst, + uint32_t blockSize) +{ + q7_t *pIn = pSrc; /* Src pointer */ + uint32_t blkCnt; /* loop counter */ + + +#if defined (ARM_MATH_DSP) + + /* Run the below code for Cortex-M4 and Cortex-M3 */ + + /*loop Unrolling */ + blkCnt = blockSize >> 2U; + + /* First part of the processing with loop unrolling. Compute 4 outputs at a time. + ** a second loop below computes the remaining 1 to 3 samples. */ + while (blkCnt > 0U) + { + /* C = (float32_t) A / 128 */ + /* convert from q7 to float and then store the results in the destination buffer */ + *pDst++ = ((float32_t) * pIn++ / 128.0f); + *pDst++ = ((float32_t) * pIn++ / 128.0f); + *pDst++ = ((float32_t) * pIn++ / 128.0f); + *pDst++ = ((float32_t) * pIn++ / 128.0f); + + /* Decrement the loop counter */ + blkCnt--; + } + + /* If the blockSize is not a multiple of 4, compute any remaining output samples here. + ** No loop unrolling is used. */ + blkCnt = blockSize % 0x4U; + +#else + + /* Run the below code for Cortex-M0 */ + + /* Loop over blockSize number of values */ + blkCnt = blockSize; + +#endif /* #if defined (ARM_MATH_DSP) */ + + while (blkCnt > 0U) + { + /* C = (float32_t) A / 128 */ + /* convert from q7 to float and then store the results in the destination buffer */ + *pDst++ = ((float32_t) * pIn++ / 128.0f); + + /* Decrement the loop counter */ + blkCnt--; + } +} + +/** + * @} end of q7_to_x group + */ diff --git a/fw/hid-dials/Drivers/CMSIS/DSP/Source/SupportFunctions/arm_q7_to_q15.c b/fw/hid-dials/Drivers/CMSIS/DSP/Source/SupportFunctions/arm_q7_to_q15.c new file mode 100644 index 0000000..5bc5a56 --- /dev/null +++ b/fw/hid-dials/Drivers/CMSIS/DSP/Source/SupportFunctions/arm_q7_to_q15.c @@ -0,0 +1,145 @@ +/* ---------------------------------------------------------------------- + * Project: CMSIS DSP Library + * Title: arm_q7_to_q15.c + * Description: Converts the elements of the Q7 vector to Q15 vector + * + * $Date: 27. January 2017 + * $Revision: V.1.5.1 + * + * Target Processor: Cortex-M cores + * -------------------------------------------------------------------- */ +/* + * Copyright (C) 2010-2017 ARM Limited or its affiliates. All rights reserved. + * + * SPDX-License-Identifier: Apache-2.0 + * + * Licensed under the Apache License, Version 2.0 (the License); you may + * not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an AS IS BASIS, WITHOUT + * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ + +#include "arm_math.h" + +/** + * @ingroup groupSupport + */ + +/** + * @addtogroup q7_to_x + * @{ + */ + + + + +/** + * @brief Converts the elements of the Q7 vector to Q15 vector. + * @param[in] *pSrc points to the Q7 input vector + * @param[out] *pDst points to the Q15 output vector + * @param[in] blockSize length of the input vector + * @return none. + * + * \par Description: + * + * The equation used for the conversion process is: + * + *
+ * 	pDst[n] = (q15_t) pSrc[n] << 8;   0 <= n < blockSize.
+ * 
+ * + */ + + +void arm_q7_to_q15( + q7_t * pSrc, + q15_t * pDst, + uint32_t blockSize) +{ + q7_t *pIn = pSrc; /* Src pointer */ + uint32_t blkCnt; /* loop counter */ + +#if defined (ARM_MATH_DSP) + q31_t in; + q31_t in1, in2; + q31_t out1, out2; + + /* Run the below code for Cortex-M4 and Cortex-M3 */ + + /*loop Unrolling */ + blkCnt = blockSize >> 2U; + + /* First part of the processing with loop unrolling. Compute 4 outputs at a time. + ** a second loop below computes the remaining 1 to 3 samples. */ + while (blkCnt > 0U) + { + /* C = (q15_t) A << 8 */ + /* convert from q7 to q15 and then store the results in the destination buffer */ + in = *__SIMD32(pIn)++; + + /* rotatate in by 8 and extend two q7_t values to q15_t values */ + in1 = __SXTB16(__ROR(in, 8)); + + /* extend remainig two q7_t values to q15_t values */ + in2 = __SXTB16(in); + + in1 = in1 << 8U; + in2 = in2 << 8U; + + in1 = in1 & 0xFF00FF00; + in2 = in2 & 0xFF00FF00; + +#ifndef ARM_MATH_BIG_ENDIAN + + out2 = __PKHTB(in1, in2, 16); + out1 = __PKHBT(in2, in1, 16); + +#else + + out1 = __PKHTB(in1, in2, 16); + out2 = __PKHBT(in2, in1, 16); + +#endif + + *__SIMD32(pDst)++ = out1; + *__SIMD32(pDst)++ = out2; + + /* Decrement the loop counter */ + blkCnt--; + } + + /* If the blockSize is not a multiple of 4, compute any remaining output samples here. + ** No loop unrolling is used. */ + blkCnt = blockSize % 0x4U; + +#else + + /* Run the below code for Cortex-M0 */ + + /* Loop over blockSize number of values */ + blkCnt = blockSize; + +#endif /* #if defined (ARM_MATH_DSP) */ + + while (blkCnt > 0U) + { + /* C = (q15_t) A << 8 */ + /* convert from q7 to q15 and then store the results in the destination buffer */ + *pDst++ = (q15_t) * pIn++ << 8; + + /* Decrement the loop counter */ + blkCnt--; + } + +} + +/** + * @} end of q7_to_x group + */ diff --git a/fw/hid-dials/Drivers/CMSIS/DSP/Source/SupportFunctions/arm_q7_to_q31.c b/fw/hid-dials/Drivers/CMSIS/DSP/Source/SupportFunctions/arm_q7_to_q31.c new file mode 100644 index 0000000..abbda7f --- /dev/null +++ b/fw/hid-dials/Drivers/CMSIS/DSP/Source/SupportFunctions/arm_q7_to_q31.c @@ -0,0 +1,130 @@ +/* ---------------------------------------------------------------------- + * Project: CMSIS DSP Library + * Title: arm_q7_to_q31.c + * Description: Converts the elements of the Q7 vector to Q31 vector + * + * $Date: 27. January 2017 + * $Revision: V.1.5.1 + * + * Target Processor: Cortex-M cores + * -------------------------------------------------------------------- */ +/* + * Copyright (C) 2010-2017 ARM Limited or its affiliates. All rights reserved. + * + * SPDX-License-Identifier: Apache-2.0 + * + * Licensed under the Apache License, Version 2.0 (the License); you may + * not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an AS IS BASIS, WITHOUT + * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ + +#include "arm_math.h" + +/** + * @ingroup groupSupport + */ + +/** + * @addtogroup q7_to_x + * @{ + */ + +/** + * @brief Converts the elements of the Q7 vector to Q31 vector. + * @param[in] *pSrc points to the Q7 input vector + * @param[out] *pDst points to the Q31 output vector + * @param[in] blockSize length of the input vector + * @return none. + * + * \par Description: + * + * The equation used for the conversion process is: + * + *
+ * 	pDst[n] = (q31_t) pSrc[n] << 24;   0 <= n < blockSize.
+ * 
+ * + */ + + +void arm_q7_to_q31( + q7_t * pSrc, + q31_t * pDst, + uint32_t blockSize) +{ + q7_t *pIn = pSrc; /* Src pointer */ + uint32_t blkCnt; /* loop counter */ + +#if defined (ARM_MATH_DSP) + + q31_t in; + + /* Run the below code for Cortex-M4 and Cortex-M3 */ + + /*loop Unrolling */ + blkCnt = blockSize >> 2U; + + /* First part of the processing with loop unrolling. Compute 4 outputs at a time. + ** a second loop below computes the remaining 1 to 3 samples. */ + while (blkCnt > 0U) + { + /* C = (q31_t) A << 24 */ + /* convert from q7 to q31 and then store the results in the destination buffer */ + in = *__SIMD32(pIn)++; + +#ifndef ARM_MATH_BIG_ENDIAN + + *pDst++ = (__ROR(in, 8)) & 0xFF000000; + *pDst++ = (__ROR(in, 16)) & 0xFF000000; + *pDst++ = (__ROR(in, 24)) & 0xFF000000; + *pDst++ = (in & 0xFF000000); + +#else + + *pDst++ = (in & 0xFF000000); + *pDst++ = (__ROR(in, 24)) & 0xFF000000; + *pDst++ = (__ROR(in, 16)) & 0xFF000000; + *pDst++ = (__ROR(in, 8)) & 0xFF000000; + +#endif // #ifndef ARM_MATH_BIG_ENDIAN + + /* Decrement the loop counter */ + blkCnt--; + } + + /* If the blockSize is not a multiple of 4, compute any remaining output samples here. + ** No loop unrolling is used. */ + blkCnt = blockSize % 0x4U; + +#else + + /* Run the below code for Cortex-M0 */ + + /* Loop over blockSize number of values */ + blkCnt = blockSize; + +#endif /* #if defined (ARM_MATH_DSP) */ + + while (blkCnt > 0U) + { + /* C = (q31_t) A << 24 */ + /* convert from q7 to q31 and then store the results in the destination buffer */ + *pDst++ = (q31_t) * pIn++ << 24; + + /* Decrement the loop counter */ + blkCnt--; + } + +} + +/** + * @} end of q7_to_x group + */ diff --git a/fw/hid-dials/Drivers/CMSIS/DSP/Source/TransformFunctions/arm_bitreversal.c b/fw/hid-dials/Drivers/CMSIS/DSP/Source/TransformFunctions/arm_bitreversal.c new file mode 100644 index 0000000..3119769 --- /dev/null +++ b/fw/hid-dials/Drivers/CMSIS/DSP/Source/TransformFunctions/arm_bitreversal.c @@ -0,0 +1,230 @@ +/* ---------------------------------------------------------------------- + * Project: CMSIS DSP Library + * Title: arm_bitreversal.c + * Description: Bitreversal functions + * + * $Date: 27. January 2017 + * $Revision: V.1.5.1 + * + * Target Processor: Cortex-M cores + * -------------------------------------------------------------------- */ +/* + * Copyright (C) 2010-2017 ARM Limited or its affiliates. All rights reserved. + * + * SPDX-License-Identifier: Apache-2.0 + * + * Licensed under the Apache License, Version 2.0 (the License); you may + * not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an AS IS BASIS, WITHOUT + * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ + +#include "arm_math.h" +#include "arm_common_tables.h" + +/* +* @brief In-place bit reversal function. +* @param[in, out] *pSrc points to the in-place buffer of floating-point data type. +* @param[in] fftSize length of the FFT. +* @param[in] bitRevFactor bit reversal modifier that supports different size FFTs with the same bit reversal table. +* @param[in] *pBitRevTab points to the bit reversal table. +* @return none. +*/ + +void arm_bitreversal_f32( +float32_t * pSrc, +uint16_t fftSize, +uint16_t bitRevFactor, +uint16_t * pBitRevTab) +{ + uint16_t fftLenBy2, fftLenBy2p1; + uint16_t i, j; + float32_t in; + + /* Initializations */ + j = 0U; + fftLenBy2 = fftSize >> 1U; + fftLenBy2p1 = (fftSize >> 1U) + 1U; + + /* Bit Reversal Implementation */ + for (i = 0U; i <= (fftLenBy2 - 2U); i += 2U) + { + if (i < j) + { + /* pSrc[i] <-> pSrc[j]; */ + in = pSrc[2U * i]; + pSrc[2U * i] = pSrc[2U * j]; + pSrc[2U * j] = in; + + /* pSrc[i+1U] <-> pSrc[j+1U] */ + in = pSrc[(2U * i) + 1U]; + pSrc[(2U * i) + 1U] = pSrc[(2U * j) + 1U]; + pSrc[(2U * j) + 1U] = in; + + /* pSrc[i+fftLenBy2p1] <-> pSrc[j+fftLenBy2p1] */ + in = pSrc[2U * (i + fftLenBy2p1)]; + pSrc[2U * (i + fftLenBy2p1)] = pSrc[2U * (j + fftLenBy2p1)]; + pSrc[2U * (j + fftLenBy2p1)] = in; + + /* pSrc[i+fftLenBy2p1+1U] <-> pSrc[j+fftLenBy2p1+1U] */ + in = pSrc[(2U * (i + fftLenBy2p1)) + 1U]; + pSrc[(2U * (i + fftLenBy2p1)) + 1U] = + pSrc[(2U * (j + fftLenBy2p1)) + 1U]; + pSrc[(2U * (j + fftLenBy2p1)) + 1U] = in; + + } + + /* pSrc[i+1U] <-> pSrc[j+1U] */ + in = pSrc[2U * (i + 1U)]; + pSrc[2U * (i + 1U)] = pSrc[2U * (j + fftLenBy2)]; + pSrc[2U * (j + fftLenBy2)] = in; + + /* pSrc[i+2U] <-> pSrc[j+2U] */ + in = pSrc[(2U * (i + 1U)) + 1U]; + pSrc[(2U * (i + 1U)) + 1U] = pSrc[(2U * (j + fftLenBy2)) + 1U]; + pSrc[(2U * (j + fftLenBy2)) + 1U] = in; + + /* Reading the index for the bit reversal */ + j = *pBitRevTab; + + /* Updating the bit reversal index depending on the fft length */ + pBitRevTab += bitRevFactor; + } +} + + + +/* +* @brief In-place bit reversal function. +* @param[in, out] *pSrc points to the in-place buffer of Q31 data type. +* @param[in] fftLen length of the FFT. +* @param[in] bitRevFactor bit reversal modifier that supports different size FFTs with the same bit reversal table +* @param[in] *pBitRevTab points to bit reversal table. +* @return none. +*/ + +void arm_bitreversal_q31( +q31_t * pSrc, +uint32_t fftLen, +uint16_t bitRevFactor, +uint16_t * pBitRevTable) +{ + uint32_t fftLenBy2, fftLenBy2p1, i, j; + q31_t in; + + /* Initializations */ + j = 0U; + fftLenBy2 = fftLen / 2U; + fftLenBy2p1 = (fftLen / 2U) + 1U; + + /* Bit Reversal Implementation */ + for (i = 0U; i <= (fftLenBy2 - 2U); i += 2U) + { + if (i < j) + { + /* pSrc[i] <-> pSrc[j]; */ + in = pSrc[2U * i]; + pSrc[2U * i] = pSrc[2U * j]; + pSrc[2U * j] = in; + + /* pSrc[i+1U] <-> pSrc[j+1U] */ + in = pSrc[(2U * i) + 1U]; + pSrc[(2U * i) + 1U] = pSrc[(2U * j) + 1U]; + pSrc[(2U * j) + 1U] = in; + + /* pSrc[i+fftLenBy2p1] <-> pSrc[j+fftLenBy2p1] */ + in = pSrc[2U * (i + fftLenBy2p1)]; + pSrc[2U * (i + fftLenBy2p1)] = pSrc[2U * (j + fftLenBy2p1)]; + pSrc[2U * (j + fftLenBy2p1)] = in; + + /* pSrc[i+fftLenBy2p1+1U] <-> pSrc[j+fftLenBy2p1+1U] */ + in = pSrc[(2U * (i + fftLenBy2p1)) + 1U]; + pSrc[(2U * (i + fftLenBy2p1)) + 1U] = + pSrc[(2U * (j + fftLenBy2p1)) + 1U]; + pSrc[(2U * (j + fftLenBy2p1)) + 1U] = in; + + } + + /* pSrc[i+1U] <-> pSrc[j+1U] */ + in = pSrc[2U * (i + 1U)]; + pSrc[2U * (i + 1U)] = pSrc[2U * (j + fftLenBy2)]; + pSrc[2U * (j + fftLenBy2)] = in; + + /* pSrc[i+2U] <-> pSrc[j+2U] */ + in = pSrc[(2U * (i + 1U)) + 1U]; + pSrc[(2U * (i + 1U)) + 1U] = pSrc[(2U * (j + fftLenBy2)) + 1U]; + pSrc[(2U * (j + fftLenBy2)) + 1U] = in; + + /* Reading the index for the bit reversal */ + j = *pBitRevTable; + + /* Updating the bit reversal index depending on the fft length */ + pBitRevTable += bitRevFactor; + } +} + + + +/* + * @brief In-place bit reversal function. + * @param[in, out] *pSrc points to the in-place buffer of Q15 data type. + * @param[in] fftLen length of the FFT. + * @param[in] bitRevFactor bit reversal modifier that supports different size FFTs with the same bit reversal table + * @param[in] *pBitRevTab points to bit reversal table. + * @return none. +*/ + +void arm_bitreversal_q15( +q15_t * pSrc16, +uint32_t fftLen, +uint16_t bitRevFactor, +uint16_t * pBitRevTab) +{ + q31_t *pSrc = (q31_t *) pSrc16; + q31_t in; + uint32_t fftLenBy2, fftLenBy2p1; + uint32_t i, j; + + /* Initializations */ + j = 0U; + fftLenBy2 = fftLen / 2U; + fftLenBy2p1 = (fftLen / 2U) + 1U; + + /* Bit Reversal Implementation */ + for (i = 0U; i <= (fftLenBy2 - 2U); i += 2U) + { + if (i < j) + { + /* pSrc[i] <-> pSrc[j]; */ + /* pSrc[i+1U] <-> pSrc[j+1U] */ + in = pSrc[i]; + pSrc[i] = pSrc[j]; + pSrc[j] = in; + + /* pSrc[i + fftLenBy2p1] <-> pSrc[j + fftLenBy2p1]; */ + /* pSrc[i + fftLenBy2p1+1U] <-> pSrc[j + fftLenBy2p1+1U] */ + in = pSrc[i + fftLenBy2p1]; + pSrc[i + fftLenBy2p1] = pSrc[j + fftLenBy2p1]; + pSrc[j + fftLenBy2p1] = in; + } + + /* pSrc[i+1U] <-> pSrc[j+fftLenBy2]; */ + /* pSrc[i+2] <-> pSrc[j+fftLenBy2+1U] */ + in = pSrc[i + 1U]; + pSrc[i + 1U] = pSrc[j + fftLenBy2]; + pSrc[j + fftLenBy2] = in; + + /* Reading the index for the bit reversal */ + j = *pBitRevTab; + + /* Updating the bit reversal index depending on the fft length */ + pBitRevTab += bitRevFactor; + } +} diff --git a/fw/hid-dials/Drivers/CMSIS/DSP/Source/TransformFunctions/arm_bitreversal2.S b/fw/hid-dials/Drivers/CMSIS/DSP/Source/TransformFunctions/arm_bitreversal2.S new file mode 100644 index 0000000..cde264c --- /dev/null +++ b/fw/hid-dials/Drivers/CMSIS/DSP/Source/TransformFunctions/arm_bitreversal2.S @@ -0,0 +1,216 @@ +;/* ---------------------------------------------------------------------- +; * Project: CMSIS DSP Library +; * Title: arm_bitreversal2.S +; * Description: arm_bitreversal_32 function done in assembly for maximum speed. +; * Called after doing an fft to reorder the output. +; * The function is loop unrolled by 2. arm_bitreversal_16 as well. +; * +; * $Date: 27. January 2017 +; * $Revision: V.1.5.1 +; * +; * Target Processor: Cortex-M cores +; * -------------------------------------------------------------------- */ +;/* +; * Copyright (C) 2010-2017 ARM Limited or its affiliates. All rights reserved. +; * +; * SPDX-License-Identifier: Apache-2.0 +; * +; * Licensed under the Apache License, Version 2.0 (the License); you may +; * not use this file except in compliance with the License. +; * You may obtain a copy of the License at +; * +; * www.apache.org/licenses/LICENSE-2.0 +; * +; * Unless required by applicable law or agreed to in writing, software +; * distributed under the License is distributed on an AS IS BASIS, WITHOUT +; * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +; * See the License for the specific language governing permissions and +; * limitations under the License. +; */ + +#if defined ( __CC_ARM ) /* Keil */ + #define CODESECT AREA ||.text||, CODE, READONLY, ALIGN=2 + #define LABEL +#elif defined ( __IASMARM__ ) /* IAR */ + #define CODESECT SECTION `.text`:CODE + #define PROC + #define LABEL + #define ENDP + #define EXPORT PUBLIC +#elif defined ( __CSMC__ ) /* Cosmic */ + #define CODESECT switch .text + #define THUMB + #define EXPORT xdef + #define PROC : + #define LABEL : + #define ENDP + #define arm_bitreversal_32 _arm_bitreversal_32 +#elif defined ( __TI_ARM__ ) /* TI ARM */ + #define THUMB .thumb + #define CODESECT .text + #define EXPORT .global + #define PROC : .asmfunc + #define LABEL : + #define ENDP .endasmfunc + #define END +#elif defined ( __GNUC__ ) /* GCC */ + #define THUMB .thumb + #define CODESECT .section .text + #define EXPORT .global + #define PROC : + #define LABEL : + #define ENDP + #define END + + .syntax unified +#endif + + CODESECT + THUMB + +;/* +;* @brief In-place bit reversal function. +;* @param[in, out] *pSrc points to the in-place buffer of unknown 32-bit data type. +;* @param[in] bitRevLen bit reversal table length +;* @param[in] *pBitRevTab points to bit reversal table. +;* @return none. +;*/ + EXPORT arm_bitreversal_32 + EXPORT arm_bitreversal_16 + +#if defined ( __CC_ARM ) /* Keil */ +#elif defined ( __IASMARM__ ) /* IAR */ +#elif defined ( __CSMC__ ) /* Cosmic */ +#elif defined ( __TI_ARM__ ) /* TI ARM */ +#elif defined ( __GNUC__ ) /* GCC */ + .type arm_bitreversal_16, %function + .type arm_bitreversal_32, %function +#endif + +#if defined(ARM_MATH_CM0) || defined(ARM_MATH_CM0PLUS) || defined(ARM_MATH_ARMV8MBL) + +arm_bitreversal_32 PROC + ADDS r3,r1,#1 + PUSH {r4-r6} + ADDS r1,r2,#0 + LSRS r3,r3,#1 +arm_bitreversal_32_0 LABEL + LDRH r2,[r1,#2] + LDRH r6,[r1,#0] + ADD r2,r0,r2 + ADD r6,r0,r6 + LDR r5,[r2,#0] + LDR r4,[r6,#0] + STR r5,[r6,#0] + STR r4,[r2,#0] + LDR r5,[r2,#4] + LDR r4,[r6,#4] + STR r5,[r6,#4] + STR r4,[r2,#4] + ADDS r1,r1,#4 + SUBS r3,r3,#1 + BNE arm_bitreversal_32_0 + POP {r4-r6} + BX lr + ENDP + +arm_bitreversal_16 PROC + ADDS r3,r1,#1 + PUSH {r4-r6} + ADDS r1,r2,#0 + LSRS r3,r3,#1 +arm_bitreversal_16_0 LABEL + LDRH r2,[r1,#2] + LDRH r6,[r1,#0] + LSRS r2,r2,#1 + LSRS r6,r6,#1 + ADD r2,r0,r2 + ADD r6,r0,r6 + LDR r5,[r2,#0] + LDR r4,[r6,#0] + STR r5,[r6,#0] + STR r4,[r2,#0] + ADDS r1,r1,#4 + SUBS r3,r3,#1 + BNE arm_bitreversal_16_0 + POP {r4-r6} + BX lr + ENDP + +#else + +arm_bitreversal_32 PROC + ADDS r3,r1,#1 + CMP r3,#1 + IT LS + BXLS lr + PUSH {r4-r9} + ADDS r1,r2,#2 + LSRS r3,r3,#2 +arm_bitreversal_32_0 LABEL ;/* loop unrolled by 2 */ + LDRH r8,[r1,#4] + LDRH r9,[r1,#2] + LDRH r2,[r1,#0] + LDRH r12,[r1,#-2] + ADD r8,r0,r8 + ADD r9,r0,r9 + ADD r2,r0,r2 + ADD r12,r0,r12 + LDR r7,[r9,#0] + LDR r6,[r8,#0] + LDR r5,[r2,#0] + LDR r4,[r12,#0] + STR r6,[r9,#0] + STR r7,[r8,#0] + STR r5,[r12,#0] + STR r4,[r2,#0] + LDR r7,[r9,#4] + LDR r6,[r8,#4] + LDR r5,[r2,#4] + LDR r4,[r12,#4] + STR r6,[r9,#4] + STR r7,[r8,#4] + STR r5,[r12,#4] + STR r4,[r2,#4] + ADDS r1,r1,#8 + SUBS r3,r3,#1 + BNE arm_bitreversal_32_0 + POP {r4-r9} + BX lr + ENDP + +arm_bitreversal_16 PROC + ADDS r3,r1,#1 + CMP r3,#1 + IT LS + BXLS lr + PUSH {r4-r9} + ADDS r1,r2,#2 + LSRS r3,r3,#2 +arm_bitreversal_16_0 LABEL ;/* loop unrolled by 2 */ + LDRH r8,[r1,#4] + LDRH r9,[r1,#2] + LDRH r2,[r1,#0] + LDRH r12,[r1,#-2] + ADD r8,r0,r8,LSR #1 + ADD r9,r0,r9,LSR #1 + ADD r2,r0,r2,LSR #1 + ADD r12,r0,r12,LSR #1 + LDR r7,[r9,#0] + LDR r6,[r8,#0] + LDR r5,[r2,#0] + LDR r4,[r12,#0] + STR r6,[r9,#0] + STR r7,[r8,#0] + STR r5,[r12,#0] + STR r4,[r2,#0] + ADDS r1,r1,#8 + SUBS r3,r3,#1 + BNE arm_bitreversal_16_0 + POP {r4-r9} + BX lr + ENDP + +#endif + + END diff --git a/fw/hid-dials/Drivers/CMSIS/DSP/Source/TransformFunctions/arm_cfft_f32.c b/fw/hid-dials/Drivers/CMSIS/DSP/Source/TransformFunctions/arm_cfft_f32.c new file mode 100644 index 0000000..2593202 --- /dev/null +++ b/fw/hid-dials/Drivers/CMSIS/DSP/Source/TransformFunctions/arm_cfft_f32.c @@ -0,0 +1,620 @@ +/* ---------------------------------------------------------------------- + * Project: CMSIS DSP Library + * Title: arm_cfft_f32.c + * Description: Combined Radix Decimation in Frequency CFFT Floating point processing function + * + * $Date: 27. January 2017 + * $Revision: V.1.5.1 + * + * Target Processor: Cortex-M cores + * -------------------------------------------------------------------- */ +/* + * Copyright (C) 2010-2017 ARM Limited or its affiliates. All rights reserved. + * + * SPDX-License-Identifier: Apache-2.0 + * + * Licensed under the Apache License, Version 2.0 (the License); you may + * not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an AS IS BASIS, WITHOUT + * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ + +#include "arm_math.h" +#include "arm_common_tables.h" + +extern void arm_radix8_butterfly_f32( + float32_t * pSrc, + uint16_t fftLen, + const float32_t * pCoef, + uint16_t twidCoefModifier); + +extern void arm_bitreversal_32( + uint32_t * pSrc, + const uint16_t bitRevLen, + const uint16_t * pBitRevTable); + +/** +* @ingroup groupTransforms +*/ + +/** +* @defgroup ComplexFFT Complex FFT Functions +* +* \par +* The Fast Fourier Transform (FFT) is an efficient algorithm for computing the +* Discrete Fourier Transform (DFT). The FFT can be orders of magnitude faster +* than the DFT, especially for long lengths. +* The algorithms described in this section +* operate on complex data. A separate set of functions is devoted to handling +* of real sequences. +* \par +* There are separate algorithms for handling floating-point, Q15, and Q31 data +* types. The algorithms available for each data type are described next. +* \par +* The FFT functions operate in-place. That is, the array holding the input data +* will also be used to hold the corresponding result. The input data is complex +* and contains 2*fftLen interleaved values as shown below. +*
 {real[0], imag[0], real[1], imag[1],..} 
+* The FFT result will be contained in the same array and the frequency domain +* values will have the same interleaving. +* +* \par Floating-point +* The floating-point complex FFT uses a mixed-radix algorithm. Multiple radix-8 +* stages are performed along with a single radix-2 or radix-4 stage, as needed. +* The algorithm supports lengths of [16, 32, 64, ..., 4096] and each length uses +* a different twiddle factor table. +* \par +* The function uses the standard FFT definition and output values may grow by a +* factor of fftLen when computing the forward transform. The +* inverse transform includes a scale of 1/fftLen as part of the +* calculation and this matches the textbook definition of the inverse FFT. +* \par +* Pre-initialized data structures containing twiddle factors and bit reversal +* tables are provided and defined in arm_const_structs.h. Include +* this header in your function and then pass one of the constant structures as +* an argument to arm_cfft_f32. For example: +* \par +* arm_cfft_f32(arm_cfft_sR_f32_len64, pSrc, 1, 1) +* \par +* computes a 64-point inverse complex FFT including bit reversal. +* The data structures are treated as constant data and not modified during the +* calculation. The same data structure can be reused for multiple transforms +* including mixing forward and inverse transforms. +* \par +* Earlier releases of the library provided separate radix-2 and radix-4 +* algorithms that operated on floating-point data. These functions are still +* provided but are deprecated. The older functions are slower and less general +* than the new functions. +* \par +* An example of initialization of the constants for the arm_cfft_f32 function follows: +* \code +* const static arm_cfft_instance_f32 *S; +* ... +* switch (length) { +* case 16: +* S = &arm_cfft_sR_f32_len16; +* break; +* case 32: +* S = &arm_cfft_sR_f32_len32; +* break; +* case 64: +* S = &arm_cfft_sR_f32_len64; +* break; +* case 128: +* S = &arm_cfft_sR_f32_len128; +* break; +* case 256: +* S = &arm_cfft_sR_f32_len256; +* break; +* case 512: +* S = &arm_cfft_sR_f32_len512; +* break; +* case 1024: +* S = &arm_cfft_sR_f32_len1024; +* break; +* case 2048: +* S = &arm_cfft_sR_f32_len2048; +* break; +* case 4096: +* S = &arm_cfft_sR_f32_len4096; +* break; +* } +* \endcode +* \par Q15 and Q31 +* The floating-point complex FFT uses a mixed-radix algorithm. Multiple radix-4 +* stages are performed along with a single radix-2 stage, as needed. +* The algorithm supports lengths of [16, 32, 64, ..., 4096] and each length uses +* a different twiddle factor table. +* \par +* The function uses the standard FFT definition and output values may grow by a +* factor of fftLen when computing the forward transform. The +* inverse transform includes a scale of 1/fftLen as part of the +* calculation and this matches the textbook definition of the inverse FFT. +* \par +* Pre-initialized data structures containing twiddle factors and bit reversal +* tables are provided and defined in arm_const_structs.h. Include +* this header in your function and then pass one of the constant structures as +* an argument to arm_cfft_q31. For example: +* \par +* arm_cfft_q31(arm_cfft_sR_q31_len64, pSrc, 1, 1) +* \par +* computes a 64-point inverse complex FFT including bit reversal. +* The data structures are treated as constant data and not modified during the +* calculation. The same data structure can be reused for multiple transforms +* including mixing forward and inverse transforms. +* \par +* Earlier releases of the library provided separate radix-2 and radix-4 +* algorithms that operated on floating-point data. These functions are still +* provided but are deprecated. The older functions are slower and less general +* than the new functions. +* \par +* An example of initialization of the constants for the arm_cfft_q31 function follows: +* \code +* const static arm_cfft_instance_q31 *S; +* ... +* switch (length) { +* case 16: +* S = &arm_cfft_sR_q31_len16; +* break; +* case 32: +* S = &arm_cfft_sR_q31_len32; +* break; +* case 64: +* S = &arm_cfft_sR_q31_len64; +* break; +* case 128: +* S = &arm_cfft_sR_q31_len128; +* break; +* case 256: +* S = &arm_cfft_sR_q31_len256; +* break; +* case 512: +* S = &arm_cfft_sR_q31_len512; +* break; +* case 1024: +* S = &arm_cfft_sR_q31_len1024; +* break; +* case 2048: +* S = &arm_cfft_sR_q31_len2048; +* break; +* case 4096: +* S = &arm_cfft_sR_q31_len4096; +* break; +* } +* \endcode +* +*/ + +void arm_cfft_radix8by2_f32( arm_cfft_instance_f32 * S, float32_t * p1) +{ + uint32_t L = S->fftLen; + float32_t * pCol1, * pCol2, * pMid1, * pMid2; + float32_t * p2 = p1 + L; + const float32_t * tw = (float32_t *) S->pTwiddle; + float32_t t1[4], t2[4], t3[4], t4[4], twR, twI; + float32_t m0, m1, m2, m3; + uint32_t l; + + pCol1 = p1; + pCol2 = p2; + + // Define new length + L >>= 1; + // Initialize mid pointers + pMid1 = p1 + L; + pMid2 = p2 + L; + + // do two dot Fourier transform + for ( l = L >> 2; l > 0; l-- ) + { + t1[0] = p1[0]; + t1[1] = p1[1]; + t1[2] = p1[2]; + t1[3] = p1[3]; + + t2[0] = p2[0]; + t2[1] = p2[1]; + t2[2] = p2[2]; + t2[3] = p2[3]; + + t3[0] = pMid1[0]; + t3[1] = pMid1[1]; + t3[2] = pMid1[2]; + t3[3] = pMid1[3]; + + t4[0] = pMid2[0]; + t4[1] = pMid2[1]; + t4[2] = pMid2[2]; + t4[3] = pMid2[3]; + + *p1++ = t1[0] + t2[0]; + *p1++ = t1[1] + t2[1]; + *p1++ = t1[2] + t2[2]; + *p1++ = t1[3] + t2[3]; // col 1 + + t2[0] = t1[0] - t2[0]; + t2[1] = t1[1] - t2[1]; + t2[2] = t1[2] - t2[2]; + t2[3] = t1[3] - t2[3]; // for col 2 + + *pMid1++ = t3[0] + t4[0]; + *pMid1++ = t3[1] + t4[1]; + *pMid1++ = t3[2] + t4[2]; + *pMid1++ = t3[3] + t4[3]; // col 1 + + t4[0] = t4[0] - t3[0]; + t4[1] = t4[1] - t3[1]; + t4[2] = t4[2] - t3[2]; + t4[3] = t4[3] - t3[3]; // for col 2 + + twR = *tw++; + twI = *tw++; + + // multiply by twiddle factors + m0 = t2[0] * twR; + m1 = t2[1] * twI; + m2 = t2[1] * twR; + m3 = t2[0] * twI; + + // R = R * Tr - I * Ti + *p2++ = m0 + m1; + // I = I * Tr + R * Ti + *p2++ = m2 - m3; + + // use vertical symmetry + // 0.9988 - 0.0491i <==> -0.0491 - 0.9988i + m0 = t4[0] * twI; + m1 = t4[1] * twR; + m2 = t4[1] * twI; + m3 = t4[0] * twR; + + *pMid2++ = m0 - m1; + *pMid2++ = m2 + m3; + + twR = *tw++; + twI = *tw++; + + m0 = t2[2] * twR; + m1 = t2[3] * twI; + m2 = t2[3] * twR; + m3 = t2[2] * twI; + + *p2++ = m0 + m1; + *p2++ = m2 - m3; + + m0 = t4[2] * twI; + m1 = t4[3] * twR; + m2 = t4[3] * twI; + m3 = t4[2] * twR; + + *pMid2++ = m0 - m1; + *pMid2++ = m2 + m3; + } + + // first col + arm_radix8_butterfly_f32( pCol1, L, (float32_t *) S->pTwiddle, 2U); + // second col + arm_radix8_butterfly_f32( pCol2, L, (float32_t *) S->pTwiddle, 2U); +} + +void arm_cfft_radix8by4_f32( arm_cfft_instance_f32 * S, float32_t * p1) +{ + uint32_t L = S->fftLen >> 1; + float32_t * pCol1, *pCol2, *pCol3, *pCol4, *pEnd1, *pEnd2, *pEnd3, *pEnd4; + const float32_t *tw2, *tw3, *tw4; + float32_t * p2 = p1 + L; + float32_t * p3 = p2 + L; + float32_t * p4 = p3 + L; + float32_t t2[4], t3[4], t4[4], twR, twI; + float32_t p1ap3_0, p1sp3_0, p1ap3_1, p1sp3_1; + float32_t m0, m1, m2, m3; + uint32_t l, twMod2, twMod3, twMod4; + + pCol1 = p1; // points to real values by default + pCol2 = p2; + pCol3 = p3; + pCol4 = p4; + pEnd1 = p2 - 1; // points to imaginary values by default + pEnd2 = p3 - 1; + pEnd3 = p4 - 1; + pEnd4 = pEnd3 + L; + + tw2 = tw3 = tw4 = (float32_t *) S->pTwiddle; + + L >>= 1; + + // do four dot Fourier transform + + twMod2 = 2; + twMod3 = 4; + twMod4 = 6; + + // TOP + p1ap3_0 = p1[0] + p3[0]; + p1sp3_0 = p1[0] - p3[0]; + p1ap3_1 = p1[1] + p3[1]; + p1sp3_1 = p1[1] - p3[1]; + + // col 2 + t2[0] = p1sp3_0 + p2[1] - p4[1]; + t2[1] = p1sp3_1 - p2[0] + p4[0]; + // col 3 + t3[0] = p1ap3_0 - p2[0] - p4[0]; + t3[1] = p1ap3_1 - p2[1] - p4[1]; + // col 4 + t4[0] = p1sp3_0 - p2[1] + p4[1]; + t4[1] = p1sp3_1 + p2[0] - p4[0]; + // col 1 + *p1++ = p1ap3_0 + p2[0] + p4[0]; + *p1++ = p1ap3_1 + p2[1] + p4[1]; + + // Twiddle factors are ones + *p2++ = t2[0]; + *p2++ = t2[1]; + *p3++ = t3[0]; + *p3++ = t3[1]; + *p4++ = t4[0]; + *p4++ = t4[1]; + + tw2 += twMod2; + tw3 += twMod3; + tw4 += twMod4; + + for (l = (L - 2) >> 1; l > 0; l-- ) + { + // TOP + p1ap3_0 = p1[0] + p3[0]; + p1sp3_0 = p1[0] - p3[0]; + p1ap3_1 = p1[1] + p3[1]; + p1sp3_1 = p1[1] - p3[1]; + // col 2 + t2[0] = p1sp3_0 + p2[1] - p4[1]; + t2[1] = p1sp3_1 - p2[0] + p4[0]; + // col 3 + t3[0] = p1ap3_0 - p2[0] - p4[0]; + t3[1] = p1ap3_1 - p2[1] - p4[1]; + // col 4 + t4[0] = p1sp3_0 - p2[1] + p4[1]; + t4[1] = p1sp3_1 + p2[0] - p4[0]; + // col 1 - top + *p1++ = p1ap3_0 + p2[0] + p4[0]; + *p1++ = p1ap3_1 + p2[1] + p4[1]; + + // BOTTOM + p1ap3_1 = pEnd1[-1] + pEnd3[-1]; + p1sp3_1 = pEnd1[-1] - pEnd3[-1]; + p1ap3_0 = pEnd1[0] + pEnd3[0]; + p1sp3_0 = pEnd1[0] - pEnd3[0]; + // col 2 + t2[2] = pEnd2[0] - pEnd4[0] + p1sp3_1; + t2[3] = pEnd1[0] - pEnd3[0] - pEnd2[-1] + pEnd4[-1]; + // col 3 + t3[2] = p1ap3_1 - pEnd2[-1] - pEnd4[-1]; + t3[3] = p1ap3_0 - pEnd2[0] - pEnd4[0]; + // col 4 + t4[2] = pEnd2[0] - pEnd4[0] - p1sp3_1; + t4[3] = pEnd4[-1] - pEnd2[-1] - p1sp3_0; + // col 1 - Bottom + *pEnd1-- = p1ap3_0 + pEnd2[0] + pEnd4[0]; + *pEnd1-- = p1ap3_1 + pEnd2[-1] + pEnd4[-1]; + + // COL 2 + // read twiddle factors + twR = *tw2++; + twI = *tw2++; + // multiply by twiddle factors + // let Z1 = a + i(b), Z2 = c + i(d) + // => Z1 * Z2 = (a*c - b*d) + i(b*c + a*d) + + // Top + m0 = t2[0] * twR; + m1 = t2[1] * twI; + m2 = t2[1] * twR; + m3 = t2[0] * twI; + + *p2++ = m0 + m1; + *p2++ = m2 - m3; + // use vertical symmetry col 2 + // 0.9997 - 0.0245i <==> 0.0245 - 0.9997i + // Bottom + m0 = t2[3] * twI; + m1 = t2[2] * twR; + m2 = t2[2] * twI; + m3 = t2[3] * twR; + + *pEnd2-- = m0 - m1; + *pEnd2-- = m2 + m3; + + // COL 3 + twR = tw3[0]; + twI = tw3[1]; + tw3 += twMod3; + // Top + m0 = t3[0] * twR; + m1 = t3[1] * twI; + m2 = t3[1] * twR; + m3 = t3[0] * twI; + + *p3++ = m0 + m1; + *p3++ = m2 - m3; + // use vertical symmetry col 3 + // 0.9988 - 0.0491i <==> -0.9988 - 0.0491i + // Bottom + m0 = -t3[3] * twR; + m1 = t3[2] * twI; + m2 = t3[2] * twR; + m3 = t3[3] * twI; + + *pEnd3-- = m0 - m1; + *pEnd3-- = m3 - m2; + + // COL 4 + twR = tw4[0]; + twI = tw4[1]; + tw4 += twMod4; + // Top + m0 = t4[0] * twR; + m1 = t4[1] * twI; + m2 = t4[1] * twR; + m3 = t4[0] * twI; + + *p4++ = m0 + m1; + *p4++ = m2 - m3; + // use vertical symmetry col 4 + // 0.9973 - 0.0736i <==> -0.0736 + 0.9973i + // Bottom + m0 = t4[3] * twI; + m1 = t4[2] * twR; + m2 = t4[2] * twI; + m3 = t4[3] * twR; + + *pEnd4-- = m0 - m1; + *pEnd4-- = m2 + m3; + } + + //MIDDLE + // Twiddle factors are + // 1.0000 0.7071-0.7071i -1.0000i -0.7071-0.7071i + p1ap3_0 = p1[0] + p3[0]; + p1sp3_0 = p1[0] - p3[0]; + p1ap3_1 = p1[1] + p3[1]; + p1sp3_1 = p1[1] - p3[1]; + + // col 2 + t2[0] = p1sp3_0 + p2[1] - p4[1]; + t2[1] = p1sp3_1 - p2[0] + p4[0]; + // col 3 + t3[0] = p1ap3_0 - p2[0] - p4[0]; + t3[1] = p1ap3_1 - p2[1] - p4[1]; + // col 4 + t4[0] = p1sp3_0 - p2[1] + p4[1]; + t4[1] = p1sp3_1 + p2[0] - p4[0]; + // col 1 - Top + *p1++ = p1ap3_0 + p2[0] + p4[0]; + *p1++ = p1ap3_1 + p2[1] + p4[1]; + + // COL 2 + twR = tw2[0]; + twI = tw2[1]; + + m0 = t2[0] * twR; + m1 = t2[1] * twI; + m2 = t2[1] * twR; + m3 = t2[0] * twI; + + *p2++ = m0 + m1; + *p2++ = m2 - m3; + // COL 3 + twR = tw3[0]; + twI = tw3[1]; + + m0 = t3[0] * twR; + m1 = t3[1] * twI; + m2 = t3[1] * twR; + m3 = t3[0] * twI; + + *p3++ = m0 + m1; + *p3++ = m2 - m3; + // COL 4 + twR = tw4[0]; + twI = tw4[1]; + + m0 = t4[0] * twR; + m1 = t4[1] * twI; + m2 = t4[1] * twR; + m3 = t4[0] * twI; + + *p4++ = m0 + m1; + *p4++ = m2 - m3; + + // first col + arm_radix8_butterfly_f32( pCol1, L, (float32_t *) S->pTwiddle, 4U); + // second col + arm_radix8_butterfly_f32( pCol2, L, (float32_t *) S->pTwiddle, 4U); + // third col + arm_radix8_butterfly_f32( pCol3, L, (float32_t *) S->pTwiddle, 4U); + // fourth col + arm_radix8_butterfly_f32( pCol4, L, (float32_t *) S->pTwiddle, 4U); +} + +/** +* @addtogroup ComplexFFT +* @{ +*/ + +/** +* @details +* @brief Processing function for the floating-point complex FFT. +* @param[in] *S points to an instance of the floating-point CFFT structure. +* @param[in, out] *p1 points to the complex data buffer of size 2*fftLen. Processing occurs in-place. +* @param[in] ifftFlag flag that selects forward (ifftFlag=0) or inverse (ifftFlag=1) transform. +* @param[in] bitReverseFlag flag that enables (bitReverseFlag=1) or disables (bitReverseFlag=0) bit reversal of output. +* @return none. +*/ + +void arm_cfft_f32( + const arm_cfft_instance_f32 * S, + float32_t * p1, + uint8_t ifftFlag, + uint8_t bitReverseFlag) +{ + uint32_t L = S->fftLen, l; + float32_t invL, * pSrc; + + if (ifftFlag == 1U) + { + /* Conjugate input data */ + pSrc = p1 + 1; + for(l=0; lpTwiddle, 1); + break; + } + + if ( bitReverseFlag ) + arm_bitreversal_32((uint32_t*)p1,S->bitRevLength,S->pBitRevTable); + + if (ifftFlag == 1U) + { + invL = 1.0f/(float32_t)L; + /* Conjugate and scale output data */ + pSrc = p1; + for(l=0; l2*fftLen. Processing occurs in-place. +* @param[in] ifftFlag flag that selects forward (ifftFlag=0) or inverse (ifftFlag=1) transform. +* @param[in] bitReverseFlag flag that enables (bitReverseFlag=1) or disables (bitReverseFlag=0) bit reversal of output. +* @return none. +*/ + +void arm_cfft_q15( + const arm_cfft_instance_q15 * S, + q15_t * p1, + uint8_t ifftFlag, + uint8_t bitReverseFlag) +{ + uint32_t L = S->fftLen; + + if (ifftFlag == 1U) + { + switch (L) + { + case 16: + case 64: + case 256: + case 1024: + case 4096: + arm_radix4_butterfly_inverse_q15 ( p1, L, (q15_t*)S->pTwiddle, 1 ); + break; + + case 32: + case 128: + case 512: + case 2048: + arm_cfft_radix4by2_inverse_q15 ( p1, L, S->pTwiddle ); + break; + } + } + else + { + switch (L) + { + case 16: + case 64: + case 256: + case 1024: + case 4096: + arm_radix4_butterfly_q15 ( p1, L, (q15_t*)S->pTwiddle, 1 ); + break; + + case 32: + case 128: + case 512: + case 2048: + arm_cfft_radix4by2_q15 ( p1, L, S->pTwiddle ); + break; + } + } + + if ( bitReverseFlag ) + arm_bitreversal_16((uint16_t*)p1,S->bitRevLength,S->pBitRevTable); +} + +/** +* @} end of ComplexFFT group +*/ + +void arm_cfft_radix4by2_q15( + q15_t * pSrc, + uint32_t fftLen, + const q15_t * pCoef) +{ + uint32_t i; + uint32_t n2; + q15_t p0, p1, p2, p3; +#if defined (ARM_MATH_DSP) + q31_t T, S, R; + q31_t coeff, out1, out2; + const q15_t *pC = pCoef; + q15_t *pSi = pSrc; + q15_t *pSl = pSrc + fftLen; +#else + uint32_t ia, l; + q15_t xt, yt, cosVal, sinVal; +#endif + + n2 = fftLen >> 1; + +#if defined (ARM_MATH_DSP) + + for (i = n2; i > 0; i--) + { + coeff = _SIMD32_OFFSET(pC); + pC += 2; + + T = _SIMD32_OFFSET(pSi); + T = __SHADD16(T, 0); // this is just a SIMD arithmetic shift right by 1 + + S = _SIMD32_OFFSET(pSl); + S = __SHADD16(S, 0); // this is just a SIMD arithmetic shift right by 1 + + R = __QSUB16(T, S); + + _SIMD32_OFFSET(pSi) = __SHADD16(T, S); + pSi += 2; + + #ifndef ARM_MATH_BIG_ENDIAN + + out1 = __SMUAD(coeff, R) >> 16; + out2 = __SMUSDX(coeff, R); + + #else + + out1 = __SMUSDX(R, coeff) >> 16U; + out2 = __SMUAD(coeff, R); + + #endif // #ifndef ARM_MATH_BIG_ENDIAN + + _SIMD32_OFFSET(pSl) = + (q31_t) ((out2) & 0xFFFF0000) | (out1 & 0x0000FFFF); + pSl += 2; + } + +#else // #if defined (ARM_MATH_DSP) + + ia = 0; + for (i = 0; i < n2; i++) + { + cosVal = pCoef[ia * 2]; + sinVal = pCoef[(ia * 2) + 1]; + ia++; + + l = i + n2; + + xt = (pSrc[2 * i] >> 1U) - (pSrc[2 * l] >> 1U); + pSrc[2 * i] = ((pSrc[2 * i] >> 1U) + (pSrc[2 * l] >> 1U)) >> 1U; + + yt = (pSrc[2 * i + 1] >> 1U) - (pSrc[2 * l + 1] >> 1U); + pSrc[2 * i + 1] = + ((pSrc[2 * l + 1] >> 1U) + (pSrc[2 * i + 1] >> 1U)) >> 1U; + + pSrc[2U * l] = (((int16_t) (((q31_t) xt * cosVal) >> 16)) + + ((int16_t) (((q31_t) yt * sinVal) >> 16))); + + pSrc[2U * l + 1U] = (((int16_t) (((q31_t) yt * cosVal) >> 16)) - + ((int16_t) (((q31_t) xt * sinVal) >> 16))); + } + +#endif // #if defined (ARM_MATH_DSP) + + // first col + arm_radix4_butterfly_q15( pSrc, n2, (q15_t*)pCoef, 2U); + // second col + arm_radix4_butterfly_q15( pSrc + fftLen, n2, (q15_t*)pCoef, 2U); + + for (i = 0; i < fftLen >> 1; i++) + { + p0 = pSrc[4*i+0]; + p1 = pSrc[4*i+1]; + p2 = pSrc[4*i+2]; + p3 = pSrc[4*i+3]; + + p0 <<= 1; + p1 <<= 1; + p2 <<= 1; + p3 <<= 1; + + pSrc[4*i+0] = p0; + pSrc[4*i+1] = p1; + pSrc[4*i+2] = p2; + pSrc[4*i+3] = p3; + } +} + +void arm_cfft_radix4by2_inverse_q15( + q15_t * pSrc, + uint32_t fftLen, + const q15_t * pCoef) +{ + uint32_t i; + uint32_t n2; + q15_t p0, p1, p2, p3; +#if defined (ARM_MATH_DSP) + q31_t T, S, R; + q31_t coeff, out1, out2; + const q15_t *pC = pCoef; + q15_t *pSi = pSrc; + q15_t *pSl = pSrc + fftLen; +#else + uint32_t ia, l; + q15_t xt, yt, cosVal, sinVal; +#endif + + n2 = fftLen >> 1; + +#if defined (ARM_MATH_DSP) + + for (i = n2; i > 0; i--) + { + coeff = _SIMD32_OFFSET(pC); + pC += 2; + + T = _SIMD32_OFFSET(pSi); + T = __SHADD16(T, 0); // this is just a SIMD arithmetic shift right by 1 + + S = _SIMD32_OFFSET(pSl); + S = __SHADD16(S, 0); // this is just a SIMD arithmetic shift right by 1 + + R = __QSUB16(T, S); + + _SIMD32_OFFSET(pSi) = __SHADD16(T, S); + pSi += 2; + + #ifndef ARM_MATH_BIG_ENDIAN + + out1 = __SMUSD(coeff, R) >> 16; + out2 = __SMUADX(coeff, R); + #else + + out1 = __SMUADX(R, coeff) >> 16U; + out2 = __SMUSD(__QSUB(0, coeff), R); + + #endif // #ifndef ARM_MATH_BIG_ENDIAN + + _SIMD32_OFFSET(pSl) = + (q31_t) ((out2) & 0xFFFF0000) | (out1 & 0x0000FFFF); + pSl += 2; + } + +#else // #if defined (ARM_MATH_DSP) + + ia = 0; + for (i = 0; i < n2; i++) + { + cosVal = pCoef[ia * 2]; + sinVal = pCoef[(ia * 2) + 1]; + ia++; + + l = i + n2; + xt = (pSrc[2 * i] >> 1U) - (pSrc[2 * l] >> 1U); + pSrc[2 * i] = ((pSrc[2 * i] >> 1U) + (pSrc[2 * l] >> 1U)) >> 1U; + + yt = (pSrc[2 * i + 1] >> 1U) - (pSrc[2 * l + 1] >> 1U); + pSrc[2 * i + 1] = + ((pSrc[2 * l + 1] >> 1U) + (pSrc[2 * i + 1] >> 1U)) >> 1U; + + pSrc[2U * l] = (((int16_t) (((q31_t) xt * cosVal) >> 16)) - + ((int16_t) (((q31_t) yt * sinVal) >> 16))); + + pSrc[2U * l + 1U] = (((int16_t) (((q31_t) yt * cosVal) >> 16)) + + ((int16_t) (((q31_t) xt * sinVal) >> 16))); + } + +#endif // #if defined (ARM_MATH_DSP) + + // first col + arm_radix4_butterfly_inverse_q15( pSrc, n2, (q15_t*)pCoef, 2U); + // second col + arm_radix4_butterfly_inverse_q15( pSrc + fftLen, n2, (q15_t*)pCoef, 2U); + + for (i = 0; i < fftLen >> 1; i++) + { + p0 = pSrc[4*i+0]; + p1 = pSrc[4*i+1]; + p2 = pSrc[4*i+2]; + p3 = pSrc[4*i+3]; + + p0 <<= 1; + p1 <<= 1; + p2 <<= 1; + p3 <<= 1; + + pSrc[4*i+0] = p0; + pSrc[4*i+1] = p1; + pSrc[4*i+2] = p2; + pSrc[4*i+3] = p3; + } +} + diff --git a/fw/hid-dials/Drivers/CMSIS/DSP/Source/TransformFunctions/arm_cfft_q31.c b/fw/hid-dials/Drivers/CMSIS/DSP/Source/TransformFunctions/arm_cfft_q31.c new file mode 100644 index 0000000..934a3fc --- /dev/null +++ b/fw/hid-dials/Drivers/CMSIS/DSP/Source/TransformFunctions/arm_cfft_q31.c @@ -0,0 +1,252 @@ +/* ---------------------------------------------------------------------- + * Project: CMSIS DSP Library + * Title: arm_cfft_q31.c + * Description: Combined Radix Decimation in Frequency CFFT fixed point processing function + * + * $Date: 27. January 2017 + * $Revision: V.1.5.1 + * + * Target Processor: Cortex-M cores + * -------------------------------------------------------------------- */ +/* + * Copyright (C) 2010-2017 ARM Limited or its affiliates. All rights reserved. + * + * SPDX-License-Identifier: Apache-2.0 + * + * Licensed under the Apache License, Version 2.0 (the License); you may + * not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an AS IS BASIS, WITHOUT + * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ + +#include "arm_math.h" + +extern void arm_radix4_butterfly_q31( + q31_t * pSrc, + uint32_t fftLen, + q31_t * pCoef, + uint32_t twidCoefModifier); + +extern void arm_radix4_butterfly_inverse_q31( + q31_t * pSrc, + uint32_t fftLen, + q31_t * pCoef, + uint32_t twidCoefModifier); + +extern void arm_bitreversal_32( + uint32_t * pSrc, + const uint16_t bitRevLen, + const uint16_t * pBitRevTable); + +void arm_cfft_radix4by2_q31( + q31_t * pSrc, + uint32_t fftLen, + const q31_t * pCoef); + +void arm_cfft_radix4by2_inverse_q31( + q31_t * pSrc, + uint32_t fftLen, + const q31_t * pCoef); + +/** +* @ingroup groupTransforms +*/ + +/** +* @addtogroup ComplexFFT +* @{ +*/ + +/** +* @details +* @brief Processing function for the fixed-point complex FFT in Q31 format. +* @param[in] *S points to an instance of the fixed-point CFFT structure. +* @param[in, out] *p1 points to the complex data buffer of size 2*fftLen. Processing occurs in-place. +* @param[in] ifftFlag flag that selects forward (ifftFlag=0) or inverse (ifftFlag=1) transform. +* @param[in] bitReverseFlag flag that enables (bitReverseFlag=1) or disables (bitReverseFlag=0) bit reversal of output. +* @return none. +*/ + +void arm_cfft_q31( + const arm_cfft_instance_q31 * S, + q31_t * p1, + uint8_t ifftFlag, + uint8_t bitReverseFlag) +{ + uint32_t L = S->fftLen; + + if (ifftFlag == 1U) + { + switch (L) + { + case 16: + case 64: + case 256: + case 1024: + case 4096: + arm_radix4_butterfly_inverse_q31 ( p1, L, (q31_t*)S->pTwiddle, 1 ); + break; + + case 32: + case 128: + case 512: + case 2048: + arm_cfft_radix4by2_inverse_q31 ( p1, L, S->pTwiddle ); + break; + } + } + else + { + switch (L) + { + case 16: + case 64: + case 256: + case 1024: + case 4096: + arm_radix4_butterfly_q31 ( p1, L, (q31_t*)S->pTwiddle, 1 ); + break; + + case 32: + case 128: + case 512: + case 2048: + arm_cfft_radix4by2_q31 ( p1, L, S->pTwiddle ); + break; + } + } + + if ( bitReverseFlag ) + arm_bitreversal_32((uint32_t*)p1,S->bitRevLength,S->pBitRevTable); +} + +/** +* @} end of ComplexFFT group +*/ + +void arm_cfft_radix4by2_q31( + q31_t * pSrc, + uint32_t fftLen, + const q31_t * pCoef) +{ + uint32_t i, l; + uint32_t n2, ia; + q31_t xt, yt, cosVal, sinVal; + q31_t p0, p1; + + n2 = fftLen >> 1; + ia = 0; + for (i = 0; i < n2; i++) + { + cosVal = pCoef[2*ia]; + sinVal = pCoef[2*ia + 1]; + ia++; + + l = i + n2; + xt = (pSrc[2 * i] >> 2) - (pSrc[2 * l] >> 2); + pSrc[2 * i] = (pSrc[2 * i] >> 2) + (pSrc[2 * l] >> 2); + + yt = (pSrc[2 * i + 1] >> 2) - (pSrc[2 * l + 1] >> 2); + pSrc[2 * i + 1] = (pSrc[2 * l + 1] >> 2) + (pSrc[2 * i + 1] >> 2); + + mult_32x32_keep32_R(p0, xt, cosVal); + mult_32x32_keep32_R(p1, yt, cosVal); + multAcc_32x32_keep32_R(p0, yt, sinVal); + multSub_32x32_keep32_R(p1, xt, sinVal); + + pSrc[2U * l] = p0 << 1; + pSrc[2U * l + 1U] = p1 << 1; + + } + + // first col + arm_radix4_butterfly_q31( pSrc, n2, (q31_t*)pCoef, 2U); + // second col + arm_radix4_butterfly_q31( pSrc + fftLen, n2, (q31_t*)pCoef, 2U); + + for (i = 0; i < fftLen >> 1; i++) + { + p0 = pSrc[4*i+0]; + p1 = pSrc[4*i+1]; + xt = pSrc[4*i+2]; + yt = pSrc[4*i+3]; + + p0 <<= 1; + p1 <<= 1; + xt <<= 1; + yt <<= 1; + + pSrc[4*i+0] = p0; + pSrc[4*i+1] = p1; + pSrc[4*i+2] = xt; + pSrc[4*i+3] = yt; + } + +} + +void arm_cfft_radix4by2_inverse_q31( + q31_t * pSrc, + uint32_t fftLen, + const q31_t * pCoef) +{ + uint32_t i, l; + uint32_t n2, ia; + q31_t xt, yt, cosVal, sinVal; + q31_t p0, p1; + + n2 = fftLen >> 1; + ia = 0; + for (i = 0; i < n2; i++) + { + cosVal = pCoef[2*ia]; + sinVal = pCoef[2*ia + 1]; + ia++; + + l = i + n2; + xt = (pSrc[2 * i] >> 2) - (pSrc[2 * l] >> 2); + pSrc[2 * i] = (pSrc[2 * i] >> 2) + (pSrc[2 * l] >> 2); + + yt = (pSrc[2 * i + 1] >> 2) - (pSrc[2 * l + 1] >> 2); + pSrc[2 * i + 1] = (pSrc[2 * l + 1] >> 2) + (pSrc[2 * i + 1] >> 2); + + mult_32x32_keep32_R(p0, xt, cosVal); + mult_32x32_keep32_R(p1, yt, cosVal); + multSub_32x32_keep32_R(p0, yt, sinVal); + multAcc_32x32_keep32_R(p1, xt, sinVal); + + pSrc[2U * l] = p0 << 1; + pSrc[2U * l + 1U] = p1 << 1; + + } + + // first col + arm_radix4_butterfly_inverse_q31( pSrc, n2, (q31_t*)pCoef, 2U); + // second col + arm_radix4_butterfly_inverse_q31( pSrc + fftLen, n2, (q31_t*)pCoef, 2U); + + for (i = 0; i < fftLen >> 1; i++) + { + p0 = pSrc[4*i+0]; + p1 = pSrc[4*i+1]; + xt = pSrc[4*i+2]; + yt = pSrc[4*i+3]; + + p0 <<= 1; + p1 <<= 1; + xt <<= 1; + yt <<= 1; + + pSrc[4*i+0] = p0; + pSrc[4*i+1] = p1; + pSrc[4*i+2] = xt; + pSrc[4*i+3] = yt; + } +} + diff --git a/fw/hid-dials/Drivers/CMSIS/DSP/Source/TransformFunctions/arm_cfft_radix2_f32.c b/fw/hid-dials/Drivers/CMSIS/DSP/Source/TransformFunctions/arm_cfft_radix2_f32.c new file mode 100644 index 0000000..45bcc3b --- /dev/null +++ b/fw/hid-dials/Drivers/CMSIS/DSP/Source/TransformFunctions/arm_cfft_radix2_f32.c @@ -0,0 +1,472 @@ +/* ---------------------------------------------------------------------- + * Project: CMSIS DSP Library + * Title: arm_cfft_radix2_f32.c + * Description: Radix-2 Decimation in Frequency CFFT & CIFFT Floating point processing function + * + * $Date: 27. January 2017 + * $Revision: V.1.5.1 + * + * Target Processor: Cortex-M cores + * -------------------------------------------------------------------- */ +/* + * Copyright (C) 2010-2017 ARM Limited or its affiliates. All rights reserved. + * + * SPDX-License-Identifier: Apache-2.0 + * + * Licensed under the Apache License, Version 2.0 (the License); you may + * not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an AS IS BASIS, WITHOUT + * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ + +#include "arm_math.h" + +void arm_radix2_butterfly_f32( + float32_t * pSrc, + uint32_t fftLen, + float32_t * pCoef, + uint16_t twidCoefModifier); + +void arm_radix2_butterfly_inverse_f32( + float32_t * pSrc, + uint32_t fftLen, + float32_t * pCoef, + uint16_t twidCoefModifier, + float32_t onebyfftLen); + +extern void arm_bitreversal_f32( + float32_t * pSrc, + uint16_t fftSize, + uint16_t bitRevFactor, + uint16_t * pBitRevTab); + +/** +* @ingroup groupTransforms +*/ + +/** +* @addtogroup ComplexFFT +* @{ +*/ + +/** +* @details +* @brief Radix-2 CFFT/CIFFT. +* @deprecated Do not use this function. It has been superseded by \ref arm_cfft_f32 and will be removed +* in the future. +* @param[in] *S points to an instance of the floating-point Radix-2 CFFT/CIFFT structure. +* @param[in, out] *pSrc points to the complex data buffer of size 2*fftLen. Processing occurs in-place. +* @return none. +*/ + +void arm_cfft_radix2_f32( +const arm_cfft_radix2_instance_f32 * S, +float32_t * pSrc) +{ + + if (S->ifftFlag == 1U) + { + /* Complex IFFT radix-2 */ + arm_radix2_butterfly_inverse_f32(pSrc, S->fftLen, S->pTwiddle, + S->twidCoefModifier, S->onebyfftLen); + } + else + { + /* Complex FFT radix-2 */ + arm_radix2_butterfly_f32(pSrc, S->fftLen, S->pTwiddle, + S->twidCoefModifier); + } + + if (S->bitReverseFlag == 1U) + { + /* Bit Reversal */ + arm_bitreversal_f32(pSrc, S->fftLen, S->bitRevFactor, S->pBitRevTable); + } + +} + + +/** +* @} end of ComplexFFT group +*/ + + + +/* ---------------------------------------------------------------------- +** Internal helper function used by the FFTs +** ------------------------------------------------------------------- */ + +/* +* @brief Core function for the floating-point CFFT butterfly process. +* @param[in, out] *pSrc points to the in-place buffer of floating-point data type. +* @param[in] fftLen length of the FFT. +* @param[in] *pCoef points to the twiddle coefficient buffer. +* @param[in] twidCoefModifier twiddle coefficient modifier that supports different size FFTs with the same twiddle factor table. +* @return none. +*/ + +void arm_radix2_butterfly_f32( +float32_t * pSrc, +uint32_t fftLen, +float32_t * pCoef, +uint16_t twidCoefModifier) +{ + + uint32_t i, j, k, l; + uint32_t n1, n2, ia; + float32_t xt, yt, cosVal, sinVal; + float32_t p0, p1, p2, p3; + float32_t a0, a1; + +#if defined (ARM_MATH_DSP) + + /* Initializations for the first stage */ + n2 = fftLen >> 1; + ia = 0; + i = 0; + + // loop for groups + for (k = n2; k > 0; k--) + { + cosVal = pCoef[ia * 2]; + sinVal = pCoef[(ia * 2) + 1]; + + /* Twiddle coefficients index modifier */ + ia += twidCoefModifier; + + /* index calculation for the input as, */ + /* pSrc[i + 0], pSrc[i + fftLen/1] */ + l = i + n2; + + /* Butterfly implementation */ + a0 = pSrc[2 * i] + pSrc[2 * l]; + xt = pSrc[2 * i] - pSrc[2 * l]; + + yt = pSrc[2 * i + 1] - pSrc[2 * l + 1]; + a1 = pSrc[2 * l + 1] + pSrc[2 * i + 1]; + + p0 = xt * cosVal; + p1 = yt * sinVal; + p2 = yt * cosVal; + p3 = xt * sinVal; + + pSrc[2 * i] = a0; + pSrc[2 * i + 1] = a1; + + pSrc[2 * l] = p0 + p1; + pSrc[2 * l + 1] = p2 - p3; + + i++; + } // groups loop end + + twidCoefModifier <<= 1U; + + // loop for stage + for (k = n2; k > 2; k = k >> 1) + { + n1 = n2; + n2 = n2 >> 1; + ia = 0; + + // loop for groups + j = 0; + do + { + cosVal = pCoef[ia * 2]; + sinVal = pCoef[(ia * 2) + 1]; + ia += twidCoefModifier; + + // loop for butterfly + i = j; + do + { + l = i + n2; + a0 = pSrc[2 * i] + pSrc[2 * l]; + xt = pSrc[2 * i] - pSrc[2 * l]; + + yt = pSrc[2 * i + 1] - pSrc[2 * l + 1]; + a1 = pSrc[2 * l + 1] + pSrc[2 * i + 1]; + + p0 = xt * cosVal; + p1 = yt * sinVal; + p2 = yt * cosVal; + p3 = xt * sinVal; + + pSrc[2 * i] = a0; + pSrc[2 * i + 1] = a1; + + pSrc[2 * l] = p0 + p1; + pSrc[2 * l + 1] = p2 - p3; + + i += n1; + } while ( i < fftLen ); // butterfly loop end + j++; + } while ( j < n2); // groups loop end + twidCoefModifier <<= 1U; + } // stages loop end + + // loop for butterfly + for (i = 0; i < fftLen; i += 2) + { + a0 = pSrc[2 * i] + pSrc[2 * i + 2]; + xt = pSrc[2 * i] - pSrc[2 * i + 2]; + + yt = pSrc[2 * i + 1] - pSrc[2 * i + 3]; + a1 = pSrc[2 * i + 3] + pSrc[2 * i + 1]; + + pSrc[2 * i] = a0; + pSrc[2 * i + 1] = a1; + pSrc[2 * i + 2] = xt; + pSrc[2 * i + 3] = yt; + } // groups loop end + +#else + + n2 = fftLen; + + // loop for stage + for (k = fftLen; k > 1; k = k >> 1) + { + n1 = n2; + n2 = n2 >> 1; + ia = 0; + + // loop for groups + j = 0; + do + { + cosVal = pCoef[ia * 2]; + sinVal = pCoef[(ia * 2) + 1]; + ia += twidCoefModifier; + + // loop for butterfly + i = j; + do + { + l = i + n2; + a0 = pSrc[2 * i] + pSrc[2 * l]; + xt = pSrc[2 * i] - pSrc[2 * l]; + + yt = pSrc[2 * i + 1] - pSrc[2 * l + 1]; + a1 = pSrc[2 * l + 1] + pSrc[2 * i + 1]; + + p0 = xt * cosVal; + p1 = yt * sinVal; + p2 = yt * cosVal; + p3 = xt * sinVal; + + pSrc[2 * i] = a0; + pSrc[2 * i + 1] = a1; + + pSrc[2 * l] = p0 + p1; + pSrc[2 * l + 1] = p2 - p3; + + i += n1; + } while (i < fftLen); + j++; + } while (j < n2); + twidCoefModifier <<= 1U; + } + +#endif // #if defined (ARM_MATH_DSP) + +} + + +void arm_radix2_butterfly_inverse_f32( +float32_t * pSrc, +uint32_t fftLen, +float32_t * pCoef, +uint16_t twidCoefModifier, +float32_t onebyfftLen) +{ + + uint32_t i, j, k, l; + uint32_t n1, n2, ia; + float32_t xt, yt, cosVal, sinVal; + float32_t p0, p1, p2, p3; + float32_t a0, a1; + +#if defined (ARM_MATH_DSP) + + n2 = fftLen >> 1; + ia = 0; + + // loop for groups + for (i = 0; i < n2; i++) + { + cosVal = pCoef[ia * 2]; + sinVal = pCoef[(ia * 2) + 1]; + ia += twidCoefModifier; + + l = i + n2; + a0 = pSrc[2 * i] + pSrc[2 * l]; + xt = pSrc[2 * i] - pSrc[2 * l]; + + yt = pSrc[2 * i + 1] - pSrc[2 * l + 1]; + a1 = pSrc[2 * l + 1] + pSrc[2 * i + 1]; + + p0 = xt * cosVal; + p1 = yt * sinVal; + p2 = yt * cosVal; + p3 = xt * sinVal; + + pSrc[2 * i] = a0; + pSrc[2 * i + 1] = a1; + + pSrc[2 * l] = p0 - p1; + pSrc[2 * l + 1] = p2 + p3; + } // groups loop end + + twidCoefModifier <<= 1U; + + // loop for stage + for (k = fftLen / 2; k > 2; k = k >> 1) + { + n1 = n2; + n2 = n2 >> 1; + ia = 0; + + // loop for groups + j = 0; + do + { + cosVal = pCoef[ia * 2]; + sinVal = pCoef[(ia * 2) + 1]; + ia += twidCoefModifier; + + // loop for butterfly + i = j; + do + { + l = i + n2; + a0 = pSrc[2 * i] + pSrc[2 * l]; + xt = pSrc[2 * i] - pSrc[2 * l]; + + yt = pSrc[2 * i + 1] - pSrc[2 * l + 1]; + a1 = pSrc[2 * l + 1] + pSrc[2 * i + 1]; + + p0 = xt * cosVal; + p1 = yt * sinVal; + p2 = yt * cosVal; + p3 = xt * sinVal; + + pSrc[2 * i] = a0; + pSrc[2 * i + 1] = a1; + + pSrc[2 * l] = p0 - p1; + pSrc[2 * l + 1] = p2 + p3; + + i += n1; + } while ( i < fftLen ); // butterfly loop end + j++; + } while (j < n2); // groups loop end + + twidCoefModifier <<= 1U; + } // stages loop end + + // loop for butterfly + for (i = 0; i < fftLen; i += 2) + { + a0 = pSrc[2 * i] + pSrc[2 * i + 2]; + xt = pSrc[2 * i] - pSrc[2 * i + 2]; + + a1 = pSrc[2 * i + 3] + pSrc[2 * i + 1]; + yt = pSrc[2 * i + 1] - pSrc[2 * i + 3]; + + p0 = a0 * onebyfftLen; + p2 = xt * onebyfftLen; + p1 = a1 * onebyfftLen; + p3 = yt * onebyfftLen; + + pSrc[2 * i] = p0; + pSrc[2 * i + 1] = p1; + pSrc[2 * i + 2] = p2; + pSrc[2 * i + 3] = p3; + } // butterfly loop end + +#else + + n2 = fftLen; + + // loop for stage + for (k = fftLen; k > 2; k = k >> 1) + { + n1 = n2; + n2 = n2 >> 1; + ia = 0; + + // loop for groups + j = 0; + do + { + cosVal = pCoef[ia * 2]; + sinVal = pCoef[(ia * 2) + 1]; + ia = ia + twidCoefModifier; + + // loop for butterfly + i = j; + do + { + l = i + n2; + a0 = pSrc[2 * i] + pSrc[2 * l]; + xt = pSrc[2 * i] - pSrc[2 * l]; + + yt = pSrc[2 * i + 1] - pSrc[2 * l + 1]; + a1 = pSrc[2 * l + 1] + pSrc[2 * i + 1]; + + p0 = xt * cosVal; + p1 = yt * sinVal; + p2 = yt * cosVal; + p3 = xt * sinVal; + + pSrc[2 * i] = a0; + pSrc[2 * i + 1] = a1; + + pSrc[2 * l] = p0 - p1; + pSrc[2 * l + 1] = p2 + p3; + + i += n1; + } while ( i < fftLen ); // butterfly loop end + j++; + } while ( j < n2 ); // groups loop end + + twidCoefModifier = twidCoefModifier << 1U; + } // stages loop end + + n1 = n2; + n2 = n2 >> 1; + + // loop for butterfly + for (i = 0; i < fftLen; i += n1) + { + l = i + n2; + + a0 = pSrc[2 * i] + pSrc[2 * l]; + xt = pSrc[2 * i] - pSrc[2 * l]; + + a1 = pSrc[2 * l + 1] + pSrc[2 * i + 1]; + yt = pSrc[2 * i + 1] - pSrc[2 * l + 1]; + + p0 = a0 * onebyfftLen; + p2 = xt * onebyfftLen; + p1 = a1 * onebyfftLen; + p3 = yt * onebyfftLen; + + pSrc[2 * i] = p0; + pSrc[2U * l] = p2; + + pSrc[2 * i + 1] = p1; + pSrc[2U * l + 1U] = p3; + } // butterfly loop end + +#endif // #if defined (ARM_MATH_DSP) + +} diff --git a/fw/hid-dials/Drivers/CMSIS/DSP/Source/TransformFunctions/arm_cfft_radix2_init_f32.c b/fw/hid-dials/Drivers/CMSIS/DSP/Source/TransformFunctions/arm_cfft_radix2_init_f32.c new file mode 100644 index 0000000..0f423eb --- /dev/null +++ b/fw/hid-dials/Drivers/CMSIS/DSP/Source/TransformFunctions/arm_cfft_radix2_init_f32.c @@ -0,0 +1,192 @@ +/* ---------------------------------------------------------------------- + * Project: CMSIS DSP Library + * Title: arm_cfft_radix2_init_f32.c + * Description: Radix-2 Decimation in Frequency Floating-point CFFT & CIFFT Initialization function + * + * $Date: 27. January 2017 + * $Revision: V.1.5.1 + * + * Target Processor: Cortex-M cores + * -------------------------------------------------------------------- */ +/* + * Copyright (C) 2010-2017 ARM Limited or its affiliates. All rights reserved. + * + * SPDX-License-Identifier: Apache-2.0 + * + * Licensed under the Apache License, Version 2.0 (the License); you may + * not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an AS IS BASIS, WITHOUT + * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ + +#include "arm_math.h" +#include "arm_common_tables.h" + +/** + * @ingroup groupTransforms + */ + +/** + * @addtogroup ComplexFFT + * @{ + */ + +/** +* @brief Initialization function for the floating-point CFFT/CIFFT. +* @deprecated Do not use this function. It has been superseded by \ref arm_cfft_f32 and will be removed +* in the future. +* @param[in,out] *S points to an instance of the floating-point CFFT/CIFFT structure. +* @param[in] fftLen length of the FFT. +* @param[in] ifftFlag flag that selects forward (ifftFlag=0) or inverse (ifftFlag=1) transform. +* @param[in] bitReverseFlag flag that enables (bitReverseFlag=1) or disables (bitReverseFlag=0) bit reversal of output. +* @return The function returns ARM_MATH_SUCCESS if initialization is successful or ARM_MATH_ARGUMENT_ERROR if fftLen is not a supported value. +* +* \par Description: +* \par +* The parameter ifftFlag controls whether a forward or inverse transform is computed. +* Set(=1) ifftFlag for calculation of CIFFT otherwise CFFT is calculated +* \par +* The parameter bitReverseFlag controls whether output is in normal order or bit reversed order. +* Set(=1) bitReverseFlag for output to be in normal order otherwise output is in bit reversed order. +* \par +* The parameter fftLen Specifies length of CFFT/CIFFT process. Supported FFT Lengths are 16, 64, 256, 1024. +* \par +* This Function also initializes Twiddle factor table pointer and Bit reversal table pointer. +*/ +arm_status arm_cfft_radix2_init_f32( + arm_cfft_radix2_instance_f32 * S, + uint16_t fftLen, + uint8_t ifftFlag, + uint8_t bitReverseFlag) +{ + /* Initialise the default arm status */ + arm_status status = ARM_MATH_SUCCESS; + + /* Initialise the FFT length */ + S->fftLen = fftLen; + + /* Initialise the Twiddle coefficient pointer */ + S->pTwiddle = (float32_t *) twiddleCoef; + + /* Initialise the Flag for selection of CFFT or CIFFT */ + S->ifftFlag = ifftFlag; + + /* Initialise the Flag for calculation Bit reversal or not */ + S->bitReverseFlag = bitReverseFlag; + + /* Initializations of structure parameters depending on the FFT length */ + switch (S->fftLen) + { + + case 4096U: + /* Initializations of structure parameters for 4096 point FFT */ + + /* Initialise the twiddle coef modifier value */ + S->twidCoefModifier = 1U; + /* Initialise the bit reversal table modifier */ + S->bitRevFactor = 1U; + /* Initialise the bit reversal table pointer */ + S->pBitRevTable = (uint16_t *) armBitRevTable; + /* Initialise the 1/fftLen Value */ + S->onebyfftLen = 0.000244140625; + break; + + case 2048U: + /* Initializations of structure parameters for 2048 point FFT */ + + /* Initialise the twiddle coef modifier value */ + S->twidCoefModifier = 2U; + /* Initialise the bit reversal table modifier */ + S->bitRevFactor = 2U; + /* Initialise the bit reversal table pointer */ + S->pBitRevTable = (uint16_t *) & armBitRevTable[1]; + /* Initialise the 1/fftLen Value */ + S->onebyfftLen = 0.00048828125; + break; + + case 1024U: + /* Initializations of structure parameters for 1024 point FFT */ + + /* Initialise the twiddle coef modifier value */ + S->twidCoefModifier = 4U; + /* Initialise the bit reversal table modifier */ + S->bitRevFactor = 4U; + /* Initialise the bit reversal table pointer */ + S->pBitRevTable = (uint16_t *) & armBitRevTable[3]; + /* Initialise the 1/fftLen Value */ + S->onebyfftLen = 0.0009765625f; + break; + + case 512U: + /* Initializations of structure parameters for 512 point FFT */ + + /* Initialise the twiddle coef modifier value */ + S->twidCoefModifier = 8U; + /* Initialise the bit reversal table modifier */ + S->bitRevFactor = 8U; + /* Initialise the bit reversal table pointer */ + S->pBitRevTable = (uint16_t *) & armBitRevTable[7]; + /* Initialise the 1/fftLen Value */ + S->onebyfftLen = 0.001953125; + break; + + case 256U: + /* Initializations of structure parameters for 256 point FFT */ + S->twidCoefModifier = 16U; + S->bitRevFactor = 16U; + S->pBitRevTable = (uint16_t *) & armBitRevTable[15]; + S->onebyfftLen = 0.00390625f; + break; + + case 128U: + /* Initializations of structure parameters for 128 point FFT */ + S->twidCoefModifier = 32U; + S->bitRevFactor = 32U; + S->pBitRevTable = (uint16_t *) & armBitRevTable[31]; + S->onebyfftLen = 0.0078125; + break; + + case 64U: + /* Initializations of structure parameters for 64 point FFT */ + S->twidCoefModifier = 64U; + S->bitRevFactor = 64U; + S->pBitRevTable = (uint16_t *) & armBitRevTable[63]; + S->onebyfftLen = 0.015625f; + break; + + case 32U: + /* Initializations of structure parameters for 64 point FFT */ + S->twidCoefModifier = 128U; + S->bitRevFactor = 128U; + S->pBitRevTable = (uint16_t *) & armBitRevTable[127]; + S->onebyfftLen = 0.03125; + break; + + case 16U: + /* Initializations of structure parameters for 16 point FFT */ + S->twidCoefModifier = 256U; + S->bitRevFactor = 256U; + S->pBitRevTable = (uint16_t *) & armBitRevTable[255]; + S->onebyfftLen = 0.0625f; + break; + + + default: + /* Reporting argument error if fftSize is not valid value */ + status = ARM_MATH_ARGUMENT_ERROR; + break; + } + + return (status); +} + +/** + * @} end of ComplexFFT group + */ diff --git a/fw/hid-dials/Drivers/CMSIS/DSP/Source/TransformFunctions/arm_cfft_radix2_init_q15.c b/fw/hid-dials/Drivers/CMSIS/DSP/Source/TransformFunctions/arm_cfft_radix2_init_q15.c new file mode 100644 index 0000000..54f4e84 --- /dev/null +++ b/fw/hid-dials/Drivers/CMSIS/DSP/Source/TransformFunctions/arm_cfft_radix2_init_q15.c @@ -0,0 +1,177 @@ +/* ---------------------------------------------------------------------- + * Project: CMSIS DSP Library + * Title: arm_cfft_radix2_init_q15.c + * Description: Radix-2 Decimation in Frequency Q15 FFT & IFFT initialization function + * + * $Date: 27. January 2017 + * $Revision: V.1.5.1 + * + * Target Processor: Cortex-M cores + * -------------------------------------------------------------------- */ +/* + * Copyright (C) 2010-2017 ARM Limited or its affiliates. All rights reserved. + * + * SPDX-License-Identifier: Apache-2.0 + * + * Licensed under the Apache License, Version 2.0 (the License); you may + * not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an AS IS BASIS, WITHOUT + * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ + +#include "arm_math.h" +#include "arm_common_tables.h" + +/** + * @ingroup groupTransforms + */ + + +/** + * @addtogroup ComplexFFT + * @{ + */ + +/** +* @brief Initialization function for the Q15 CFFT/CIFFT. +* @deprecated Do not use this function. It has been superseded by \ref arm_cfft_q15 and will be removed +* @param[in,out] *S points to an instance of the Q15 CFFT/CIFFT structure. +* @param[in] fftLen length of the FFT. +* @param[in] ifftFlag flag that selects forward (ifftFlag=0) or inverse (ifftFlag=1) transform. +* @param[in] bitReverseFlag flag that enables (bitReverseFlag=1) or disables (bitReverseFlag=0) bit reversal of output. +* @return The function returns ARM_MATH_SUCCESS if initialization is successful or ARM_MATH_ARGUMENT_ERROR if fftLen is not a supported value. +* +* \par Description: +* \par +* The parameter ifftFlag controls whether a forward or inverse transform is computed. +* Set(=1) ifftFlag for calculation of CIFFT otherwise CFFT is calculated +* \par +* The parameter bitReverseFlag controls whether output is in normal order or bit reversed order. +* Set(=1) bitReverseFlag for output to be in normal order otherwise output is in bit reversed order. +* \par +* The parameter fftLen Specifies length of CFFT/CIFFT process. Supported FFT Lengths are 16, 64, 256, 1024. +* \par +* This Function also initializes Twiddle factor table pointer and Bit reversal table pointer. +*/ + +arm_status arm_cfft_radix2_init_q15( + arm_cfft_radix2_instance_q15 * S, + uint16_t fftLen, + uint8_t ifftFlag, + uint8_t bitReverseFlag) +{ + /* Initialise the default arm status */ + arm_status status = ARM_MATH_SUCCESS; + + /* Initialise the FFT length */ + S->fftLen = fftLen; + + /* Initialise the Twiddle coefficient pointer */ + S->pTwiddle = (q15_t *) twiddleCoef_4096_q15; + /* Initialise the Flag for selection of CFFT or CIFFT */ + S->ifftFlag = ifftFlag; + /* Initialise the Flag for calculation Bit reversal or not */ + S->bitReverseFlag = bitReverseFlag; + + /* Initializations of structure parameters depending on the FFT length */ + switch (S->fftLen) + { + case 4096U: + /* Initializations of structure parameters for 4096 point FFT */ + + /* Initialise the twiddle coef modifier value */ + S->twidCoefModifier = 1U; + /* Initialise the bit reversal table modifier */ + S->bitRevFactor = 1U; + /* Initialise the bit reversal table pointer */ + S->pBitRevTable = (uint16_t *) armBitRevTable; + + break; + + case 2048U: + /* Initializations of structure parameters for 2048 point FFT */ + + /* Initialise the twiddle coef modifier value */ + S->twidCoefModifier = 2U; + /* Initialise the bit reversal table modifier */ + S->bitRevFactor = 2U; + /* Initialise the bit reversal table pointer */ + S->pBitRevTable = (uint16_t *) & armBitRevTable[1]; + + break; + + case 1024U: + /* Initializations of structure parameters for 1024 point FFT */ + S->twidCoefModifier = 4U; + S->bitRevFactor = 4U; + S->pBitRevTable = (uint16_t *) & armBitRevTable[3]; + + break; + + case 512U: + /* Initializations of structure parameters for 512 point FFT */ + S->twidCoefModifier = 8U; + S->bitRevFactor = 8U; + S->pBitRevTable = (uint16_t *) & armBitRevTable[7]; + + break; + + case 256U: + /* Initializations of structure parameters for 256 point FFT */ + S->twidCoefModifier = 16U; + S->bitRevFactor = 16U; + S->pBitRevTable = (uint16_t *) & armBitRevTable[15]; + + break; + + case 128U: + /* Initializations of structure parameters for 128 point FFT */ + S->twidCoefModifier = 32U; + S->bitRevFactor = 32U; + S->pBitRevTable = (uint16_t *) & armBitRevTable[31]; + + break; + + case 64U: + /* Initializations of structure parameters for 64 point FFT */ + S->twidCoefModifier = 64U; + S->bitRevFactor = 64U; + S->pBitRevTable = (uint16_t *) & armBitRevTable[63]; + + break; + + case 32U: + /* Initializations of structure parameters for 32 point FFT */ + S->twidCoefModifier = 128U; + S->bitRevFactor = 128U; + S->pBitRevTable = (uint16_t *) & armBitRevTable[127]; + + break; + + case 16U: + /* Initializations of structure parameters for 16 point FFT */ + S->twidCoefModifier = 256U; + S->bitRevFactor = 256U; + S->pBitRevTable = (uint16_t *) & armBitRevTable[255]; + + break; + + default: + /* Reporting argument error if fftSize is not valid value */ + status = ARM_MATH_ARGUMENT_ERROR; + break; + } + + return (status); +} + +/** + * @} end of ComplexFFT group + */ diff --git a/fw/hid-dials/Drivers/CMSIS/DSP/Source/TransformFunctions/arm_cfft_radix2_init_q31.c b/fw/hid-dials/Drivers/CMSIS/DSP/Source/TransformFunctions/arm_cfft_radix2_init_q31.c new file mode 100644 index 0000000..41ad965 --- /dev/null +++ b/fw/hid-dials/Drivers/CMSIS/DSP/Source/TransformFunctions/arm_cfft_radix2_init_q31.c @@ -0,0 +1,174 @@ +/* ---------------------------------------------------------------------- + * Project: CMSIS DSP Library + * Title: arm_cfft_radix2_init_q31.c + * Description: Radix-2 Decimation in Frequency Fixed-point CFFT & CIFFT Initialization function + * + * $Date: 27. January 2017 + * $Revision: V.1.5.1 + * + * Target Processor: Cortex-M cores + * -------------------------------------------------------------------- */ +/* + * Copyright (C) 2010-2017 ARM Limited or its affiliates. All rights reserved. + * + * SPDX-License-Identifier: Apache-2.0 + * + * Licensed under the Apache License, Version 2.0 (the License); you may + * not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an AS IS BASIS, WITHOUT + * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ + +#include "arm_math.h" +#include "arm_common_tables.h" + +/** + * @ingroup groupTransforms + */ + +/** + * @addtogroup ComplexFFT + * @{ + */ + + +/** +* +* @brief Initialization function for the Q31 CFFT/CIFFT. +* @deprecated Do not use this function. It has been superseded by \ref arm_cfft_q31 and will be removed +* @param[in,out] *S points to an instance of the Q31 CFFT/CIFFT structure. +* @param[in] fftLen length of the FFT. +* @param[in] ifftFlag flag that selects forward (ifftFlag=0) or inverse (ifftFlag=1) transform. +* @param[in] bitReverseFlag flag that enables (bitReverseFlag=1) or disables (bitReverseFlag=0) bit reversal of output. +* @return The function returns ARM_MATH_SUCCESS if initialization is successful or ARM_MATH_ARGUMENT_ERROR if fftLen is not a supported value. +* +* \par Description: +* \par +* The parameter ifftFlag controls whether a forward or inverse transform is computed. +* Set(=1) ifftFlag for calculation of CIFFT otherwise CFFT is calculated +* \par +* The parameter bitReverseFlag controls whether output is in normal order or bit reversed order. +* Set(=1) bitReverseFlag for output to be in normal order otherwise output is in bit reversed order. +* \par +* The parameter fftLen Specifies length of CFFT/CIFFT process. Supported FFT Lengths are 16, 64, 256, 1024. +* \par +* This Function also initializes Twiddle factor table pointer and Bit reversal table pointer. +*/ + +arm_status arm_cfft_radix2_init_q31( + arm_cfft_radix2_instance_q31 * S, + uint16_t fftLen, + uint8_t ifftFlag, + uint8_t bitReverseFlag) +{ + /* Initialise the default arm status */ + arm_status status = ARM_MATH_SUCCESS; + + /* Initialise the FFT length */ + S->fftLen = fftLen; + + /* Initialise the Twiddle coefficient pointer */ + S->pTwiddle = (q31_t *) twiddleCoef_4096_q31; + /* Initialise the Flag for selection of CFFT or CIFFT */ + S->ifftFlag = ifftFlag; + /* Initialise the Flag for calculation Bit reversal or not */ + S->bitReverseFlag = bitReverseFlag; + + /* Initializations of Instance structure depending on the FFT length */ + switch (S->fftLen) + { + /* Initializations of structure parameters for 4096 point FFT */ + case 4096U: + /* Initialise the twiddle coef modifier value */ + S->twidCoefModifier = 1U; + /* Initialise the bit reversal table modifier */ + S->bitRevFactor = 1U; + /* Initialise the bit reversal table pointer */ + S->pBitRevTable = (uint16_t *) armBitRevTable; + break; + + /* Initializations of structure parameters for 2048 point FFT */ + case 2048U: + /* Initialise the twiddle coef modifier value */ + S->twidCoefModifier = 2U; + /* Initialise the bit reversal table modifier */ + S->bitRevFactor = 2U; + /* Initialise the bit reversal table pointer */ + S->pBitRevTable = (uint16_t *) & armBitRevTable[1]; + break; + + /* Initializations of structure parameters for 1024 point FFT */ + case 1024U: + /* Initialise the twiddle coef modifier value */ + S->twidCoefModifier = 4U; + /* Initialise the bit reversal table modifier */ + S->bitRevFactor = 4U; + /* Initialise the bit reversal table pointer */ + S->pBitRevTable = (uint16_t *) & armBitRevTable[3]; + break; + + /* Initializations of structure parameters for 512 point FFT */ + case 512U: + /* Initialise the twiddle coef modifier value */ + S->twidCoefModifier = 8U; + /* Initialise the bit reversal table modifier */ + S->bitRevFactor = 8U; + /* Initialise the bit reversal table pointer */ + S->pBitRevTable = (uint16_t *) & armBitRevTable[7]; + break; + + case 256U: + /* Initializations of structure parameters for 256 point FFT */ + S->twidCoefModifier = 16U; + S->bitRevFactor = 16U; + S->pBitRevTable = (uint16_t *) & armBitRevTable[15]; + break; + + case 128U: + /* Initializations of structure parameters for 128 point FFT */ + S->twidCoefModifier = 32U; + S->bitRevFactor = 32U; + S->pBitRevTable = (uint16_t *) & armBitRevTable[31]; + break; + + case 64U: + /* Initializations of structure parameters for 64 point FFT */ + S->twidCoefModifier = 64U; + S->bitRevFactor = 64U; + S->pBitRevTable = (uint16_t *) & armBitRevTable[63]; + break; + + case 32U: + /* Initializations of structure parameters for 32 point FFT */ + S->twidCoefModifier = 128U; + S->bitRevFactor = 128U; + S->pBitRevTable = (uint16_t *) & armBitRevTable[127]; + break; + + case 16U: + /* Initializations of structure parameters for 16 point FFT */ + S->twidCoefModifier = 256U; + S->bitRevFactor = 256U; + S->pBitRevTable = (uint16_t *) & armBitRevTable[255]; + break; + + + default: + /* Reporting argument error if fftSize is not valid value */ + status = ARM_MATH_ARGUMENT_ERROR; + break; + } + + return (status); +} + +/** + * @} end of ComplexFFT group + */ diff --git a/fw/hid-dials/Drivers/CMSIS/DSP/Source/TransformFunctions/arm_cfft_radix2_q15.c b/fw/hid-dials/Drivers/CMSIS/DSP/Source/TransformFunctions/arm_cfft_radix2_q15.c new file mode 100644 index 0000000..c7a9bdf --- /dev/null +++ b/fw/hid-dials/Drivers/CMSIS/DSP/Source/TransformFunctions/arm_cfft_radix2_q15.c @@ -0,0 +1,729 @@ +/* ---------------------------------------------------------------------- + * Project: CMSIS DSP Library + * Title: arm_cfft_radix2_q15.c + * Description: Radix-2 Decimation in Frequency CFFT & CIFFT Fixed point processing function + * + * $Date: 27. January 2017 + * $Revision: V.1.5.1 + * + * Target Processor: Cortex-M cores + * -------------------------------------------------------------------- */ +/* + * Copyright (C) 2010-2017 ARM Limited or its affiliates. All rights reserved. + * + * SPDX-License-Identifier: Apache-2.0 + * + * Licensed under the Apache License, Version 2.0 (the License); you may + * not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an AS IS BASIS, WITHOUT + * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ + +#include "arm_math.h" + +void arm_radix2_butterfly_q15( + q15_t * pSrc, + uint32_t fftLen, + q15_t * pCoef, + uint16_t twidCoefModifier); + +void arm_radix2_butterfly_inverse_q15( + q15_t * pSrc, + uint32_t fftLen, + q15_t * pCoef, + uint16_t twidCoefModifier); + +void arm_bitreversal_q15( + q15_t * pSrc, + uint32_t fftLen, + uint16_t bitRevFactor, + uint16_t * pBitRevTab); + +/** + * @ingroup groupTransforms + */ + +/** + * @addtogroup ComplexFFT + * @{ + */ + +/** + * @details + * @brief Processing function for the fixed-point CFFT/CIFFT. + * @deprecated Do not use this function. It has been superseded by \ref arm_cfft_q15 and will be removed + * @param[in] *S points to an instance of the fixed-point CFFT/CIFFT structure. + * @param[in, out] *pSrc points to the complex data buffer of size 2*fftLen. Processing occurs in-place. + * @return none. + */ + +void arm_cfft_radix2_q15( + const arm_cfft_radix2_instance_q15 * S, + q15_t * pSrc) +{ + + if (S->ifftFlag == 1U) + { + arm_radix2_butterfly_inverse_q15(pSrc, S->fftLen, + S->pTwiddle, S->twidCoefModifier); + } + else + { + arm_radix2_butterfly_q15(pSrc, S->fftLen, + S->pTwiddle, S->twidCoefModifier); + } + + arm_bitreversal_q15(pSrc, S->fftLen, S->bitRevFactor, S->pBitRevTable); +} + +/** + * @} end of ComplexFFT group + */ + +void arm_radix2_butterfly_q15( + q15_t * pSrc, + uint32_t fftLen, + q15_t * pCoef, + uint16_t twidCoefModifier) +{ +#if defined (ARM_MATH_DSP) + + unsigned i, j, k, l; + unsigned n1, n2, ia; + q15_t in; + q31_t T, S, R; + q31_t coeff, out1, out2; + + //N = fftLen; + n2 = fftLen; + + n1 = n2; + n2 = n2 >> 1; + ia = 0; + + // loop for groups + for (i = 0; i < n2; i++) + { + coeff = _SIMD32_OFFSET(pCoef + (ia * 2U)); + + ia = ia + twidCoefModifier; + + l = i + n2; + + T = _SIMD32_OFFSET(pSrc + (2 * i)); + in = ((int16_t) (T & 0xFFFF)) >> 1; + T = ((T >> 1) & 0xFFFF0000) | (in & 0xFFFF); + + S = _SIMD32_OFFSET(pSrc + (2 * l)); + in = ((int16_t) (S & 0xFFFF)) >> 1; + S = ((S >> 1) & 0xFFFF0000) | (in & 0xFFFF); + + R = __QSUB16(T, S); + + _SIMD32_OFFSET(pSrc + (2 * i)) = __SHADD16(T, S); + +#ifndef ARM_MATH_BIG_ENDIAN + + out1 = __SMUAD(coeff, R) >> 16; + out2 = __SMUSDX(coeff, R); + +#else + + out1 = __SMUSDX(R, coeff) >> 16U; + out2 = __SMUAD(coeff, R); + +#endif // #ifndef ARM_MATH_BIG_ENDIAN + + _SIMD32_OFFSET(pSrc + (2U * l)) = + (q31_t) ((out2) & 0xFFFF0000) | (out1 & 0x0000FFFF); + + coeff = _SIMD32_OFFSET(pCoef + (ia * 2U)); + + ia = ia + twidCoefModifier; + + // loop for butterfly + i++; + l++; + + T = _SIMD32_OFFSET(pSrc + (2 * i)); + in = ((int16_t) (T & 0xFFFF)) >> 1; + T = ((T >> 1) & 0xFFFF0000) | (in & 0xFFFF); + + S = _SIMD32_OFFSET(pSrc + (2 * l)); + in = ((int16_t) (S & 0xFFFF)) >> 1; + S = ((S >> 1) & 0xFFFF0000) | (in & 0xFFFF); + + R = __QSUB16(T, S); + + _SIMD32_OFFSET(pSrc + (2 * i)) = __SHADD16(T, S); + +#ifndef ARM_MATH_BIG_ENDIAN + + out1 = __SMUAD(coeff, R) >> 16; + out2 = __SMUSDX(coeff, R); + +#else + + out1 = __SMUSDX(R, coeff) >> 16U; + out2 = __SMUAD(coeff, R); + +#endif // #ifndef ARM_MATH_BIG_ENDIAN + + _SIMD32_OFFSET(pSrc + (2U * l)) = + (q31_t) ((out2) & 0xFFFF0000) | (out1 & 0x0000FFFF); + + } // groups loop end + + twidCoefModifier = twidCoefModifier << 1U; + + // loop for stage + for (k = fftLen / 2; k > 2; k = k >> 1) + { + n1 = n2; + n2 = n2 >> 1; + ia = 0; + + // loop for groups + for (j = 0; j < n2; j++) + { + coeff = _SIMD32_OFFSET(pCoef + (ia * 2U)); + + ia = ia + twidCoefModifier; + + // loop for butterfly + for (i = j; i < fftLen; i += n1) + { + l = i + n2; + + T = _SIMD32_OFFSET(pSrc + (2 * i)); + + S = _SIMD32_OFFSET(pSrc + (2 * l)); + + R = __QSUB16(T, S); + + _SIMD32_OFFSET(pSrc + (2 * i)) = __SHADD16(T, S); + +#ifndef ARM_MATH_BIG_ENDIAN + + out1 = __SMUAD(coeff, R) >> 16; + out2 = __SMUSDX(coeff, R); + +#else + + out1 = __SMUSDX(R, coeff) >> 16U; + out2 = __SMUAD(coeff, R); + +#endif // #ifndef ARM_MATH_BIG_ENDIAN + + _SIMD32_OFFSET(pSrc + (2U * l)) = + (q31_t) ((out2) & 0xFFFF0000) | (out1 & 0x0000FFFF); + + i += n1; + + l = i + n2; + + T = _SIMD32_OFFSET(pSrc + (2 * i)); + + S = _SIMD32_OFFSET(pSrc + (2 * l)); + + R = __QSUB16(T, S); + + _SIMD32_OFFSET(pSrc + (2 * i)) = __SHADD16(T, S); + +#ifndef ARM_MATH_BIG_ENDIAN + + out1 = __SMUAD(coeff, R) >> 16; + out2 = __SMUSDX(coeff, R); + +#else + + out1 = __SMUSDX(R, coeff) >> 16U; + out2 = __SMUAD(coeff, R); + +#endif // #ifndef ARM_MATH_BIG_ENDIAN + + _SIMD32_OFFSET(pSrc + (2U * l)) = + (q31_t) ((out2) & 0xFFFF0000) | (out1 & 0x0000FFFF); + + } // butterfly loop end + + } // groups loop end + + twidCoefModifier = twidCoefModifier << 1U; + } // stages loop end + + n1 = n2; + n2 = n2 >> 1; + ia = 0; + + coeff = _SIMD32_OFFSET(pCoef + (ia * 2U)); + + ia = ia + twidCoefModifier; + + // loop for butterfly + for (i = 0; i < fftLen; i += n1) + { + l = i + n2; + + T = _SIMD32_OFFSET(pSrc + (2 * i)); + + S = _SIMD32_OFFSET(pSrc + (2 * l)); + + R = __QSUB16(T, S); + + _SIMD32_OFFSET(pSrc + (2 * i)) = __QADD16(T, S); + + _SIMD32_OFFSET(pSrc + (2U * l)) = R; + + i += n1; + l = i + n2; + + T = _SIMD32_OFFSET(pSrc + (2 * i)); + + S = _SIMD32_OFFSET(pSrc + (2 * l)); + + R = __QSUB16(T, S); + + _SIMD32_OFFSET(pSrc + (2 * i)) = __QADD16(T, S); + + _SIMD32_OFFSET(pSrc + (2U * l)) = R; + + } // groups loop end + + +#else + + unsigned i, j, k, l; + unsigned n1, n2, ia; + q15_t xt, yt, cosVal, sinVal; + + + //N = fftLen; + n2 = fftLen; + + n1 = n2; + n2 = n2 >> 1; + ia = 0; + + // loop for groups + for (j = 0; j < n2; j++) + { + cosVal = pCoef[ia * 2]; + sinVal = pCoef[(ia * 2) + 1]; + ia = ia + twidCoefModifier; + + // loop for butterfly + for (i = j; i < fftLen; i += n1) + { + l = i + n2; + xt = (pSrc[2 * i] >> 1U) - (pSrc[2 * l] >> 1U); + pSrc[2 * i] = ((pSrc[2 * i] >> 1U) + (pSrc[2 * l] >> 1U)) >> 1U; + + yt = (pSrc[2 * i + 1] >> 1U) - (pSrc[2 * l + 1] >> 1U); + pSrc[2 * i + 1] = + ((pSrc[2 * l + 1] >> 1U) + (pSrc[2 * i + 1] >> 1U)) >> 1U; + + pSrc[2U * l] = (((int16_t) (((q31_t) xt * cosVal) >> 16)) + + ((int16_t) (((q31_t) yt * sinVal) >> 16))); + + pSrc[2U * l + 1U] = (((int16_t) (((q31_t) yt * cosVal) >> 16)) - + ((int16_t) (((q31_t) xt * sinVal) >> 16))); + + } // butterfly loop end + + } // groups loop end + + twidCoefModifier = twidCoefModifier << 1U; + + // loop for stage + for (k = fftLen / 2; k > 2; k = k >> 1) + { + n1 = n2; + n2 = n2 >> 1; + ia = 0; + + // loop for groups + for (j = 0; j < n2; j++) + { + cosVal = pCoef[ia * 2]; + sinVal = pCoef[(ia * 2) + 1]; + ia = ia + twidCoefModifier; + + // loop for butterfly + for (i = j; i < fftLen; i += n1) + { + l = i + n2; + xt = pSrc[2 * i] - pSrc[2 * l]; + pSrc[2 * i] = (pSrc[2 * i] + pSrc[2 * l]) >> 1U; + + yt = pSrc[2 * i + 1] - pSrc[2 * l + 1]; + pSrc[2 * i + 1] = (pSrc[2 * l + 1] + pSrc[2 * i + 1]) >> 1U; + + pSrc[2U * l] = (((int16_t) (((q31_t) xt * cosVal) >> 16)) + + ((int16_t) (((q31_t) yt * sinVal) >> 16))); + + pSrc[2U * l + 1U] = (((int16_t) (((q31_t) yt * cosVal) >> 16)) - + ((int16_t) (((q31_t) xt * sinVal) >> 16))); + + } // butterfly loop end + + } // groups loop end + + twidCoefModifier = twidCoefModifier << 1U; + } // stages loop end + + n1 = n2; + n2 = n2 >> 1; + ia = 0; + + // loop for groups + for (j = 0; j < n2; j++) + { + cosVal = pCoef[ia * 2]; + sinVal = pCoef[(ia * 2) + 1]; + + ia = ia + twidCoefModifier; + + // loop for butterfly + for (i = j; i < fftLen; i += n1) + { + l = i + n2; + xt = pSrc[2 * i] - pSrc[2 * l]; + pSrc[2 * i] = (pSrc[2 * i] + pSrc[2 * l]); + + yt = pSrc[2 * i + 1] - pSrc[2 * l + 1]; + pSrc[2 * i + 1] = (pSrc[2 * l + 1] + pSrc[2 * i + 1]); + + pSrc[2U * l] = xt; + + pSrc[2U * l + 1U] = yt; + + } // butterfly loop end + + } // groups loop end + + twidCoefModifier = twidCoefModifier << 1U; + +#endif // #if defined (ARM_MATH_DSP) + +} + + +void arm_radix2_butterfly_inverse_q15( + q15_t * pSrc, + uint32_t fftLen, + q15_t * pCoef, + uint16_t twidCoefModifier) +{ +#if defined (ARM_MATH_DSP) + + unsigned i, j, k, l; + unsigned n1, n2, ia; + q15_t in; + q31_t T, S, R; + q31_t coeff, out1, out2; + + //N = fftLen; + n2 = fftLen; + + n1 = n2; + n2 = n2 >> 1; + ia = 0; + + // loop for groups + for (i = 0; i < n2; i++) + { + coeff = _SIMD32_OFFSET(pCoef + (ia * 2U)); + + ia = ia + twidCoefModifier; + + l = i + n2; + + T = _SIMD32_OFFSET(pSrc + (2 * i)); + in = ((int16_t) (T & 0xFFFF)) >> 1; + T = ((T >> 1) & 0xFFFF0000) | (in & 0xFFFF); + + S = _SIMD32_OFFSET(pSrc + (2 * l)); + in = ((int16_t) (S & 0xFFFF)) >> 1; + S = ((S >> 1) & 0xFFFF0000) | (in & 0xFFFF); + + R = __QSUB16(T, S); + + _SIMD32_OFFSET(pSrc + (2 * i)) = __SHADD16(T, S); + +#ifndef ARM_MATH_BIG_ENDIAN + + out1 = __SMUSD(coeff, R) >> 16; + out2 = __SMUADX(coeff, R); +#else + + out1 = __SMUADX(R, coeff) >> 16U; + out2 = __SMUSD(__QSUB(0, coeff), R); + +#endif // #ifndef ARM_MATH_BIG_ENDIAN + + _SIMD32_OFFSET(pSrc + (2U * l)) = + (q31_t) ((out2) & 0xFFFF0000) | (out1 & 0x0000FFFF); + + coeff = _SIMD32_OFFSET(pCoef + (ia * 2U)); + + ia = ia + twidCoefModifier; + + // loop for butterfly + i++; + l++; + + T = _SIMD32_OFFSET(pSrc + (2 * i)); + in = ((int16_t) (T & 0xFFFF)) >> 1; + T = ((T >> 1) & 0xFFFF0000) | (in & 0xFFFF); + + S = _SIMD32_OFFSET(pSrc + (2 * l)); + in = ((int16_t) (S & 0xFFFF)) >> 1; + S = ((S >> 1) & 0xFFFF0000) | (in & 0xFFFF); + + R = __QSUB16(T, S); + + _SIMD32_OFFSET(pSrc + (2 * i)) = __SHADD16(T, S); + +#ifndef ARM_MATH_BIG_ENDIAN + + out1 = __SMUSD(coeff, R) >> 16; + out2 = __SMUADX(coeff, R); +#else + + out1 = __SMUADX(R, coeff) >> 16U; + out2 = __SMUSD(__QSUB(0, coeff), R); + +#endif // #ifndef ARM_MATH_BIG_ENDIAN + + _SIMD32_OFFSET(pSrc + (2U * l)) = + (q31_t) ((out2) & 0xFFFF0000) | (out1 & 0x0000FFFF); + + } // groups loop end + + twidCoefModifier = twidCoefModifier << 1U; + + // loop for stage + for (k = fftLen / 2; k > 2; k = k >> 1) + { + n1 = n2; + n2 = n2 >> 1; + ia = 0; + + // loop for groups + for (j = 0; j < n2; j++) + { + coeff = _SIMD32_OFFSET(pCoef + (ia * 2U)); + + ia = ia + twidCoefModifier; + + // loop for butterfly + for (i = j; i < fftLen; i += n1) + { + l = i + n2; + + T = _SIMD32_OFFSET(pSrc + (2 * i)); + + S = _SIMD32_OFFSET(pSrc + (2 * l)); + + R = __QSUB16(T, S); + + _SIMD32_OFFSET(pSrc + (2 * i)) = __SHADD16(T, S); + +#ifndef ARM_MATH_BIG_ENDIAN + + out1 = __SMUSD(coeff, R) >> 16; + out2 = __SMUADX(coeff, R); + +#else + + out1 = __SMUADX(R, coeff) >> 16U; + out2 = __SMUSD(__QSUB(0, coeff), R); + +#endif // #ifndef ARM_MATH_BIG_ENDIAN + + _SIMD32_OFFSET(pSrc + (2U * l)) = + (q31_t) ((out2) & 0xFFFF0000) | (out1 & 0x0000FFFF); + + i += n1; + + l = i + n2; + + T = _SIMD32_OFFSET(pSrc + (2 * i)); + + S = _SIMD32_OFFSET(pSrc + (2 * l)); + + R = __QSUB16(T, S); + + _SIMD32_OFFSET(pSrc + (2 * i)) = __SHADD16(T, S); + +#ifndef ARM_MATH_BIG_ENDIAN + + out1 = __SMUSD(coeff, R) >> 16; + out2 = __SMUADX(coeff, R); +#else + + out1 = __SMUADX(R, coeff) >> 16U; + out2 = __SMUSD(__QSUB(0, coeff), R); + +#endif // #ifndef ARM_MATH_BIG_ENDIAN + + _SIMD32_OFFSET(pSrc + (2U * l)) = + (q31_t) ((out2) & 0xFFFF0000) | (out1 & 0x0000FFFF); + + } // butterfly loop end + + } // groups loop end + + twidCoefModifier = twidCoefModifier << 1U; + } // stages loop end + + n1 = n2; + n2 = n2 >> 1; + ia = 0; + + // loop for groups + for (j = 0; j < n2; j++) + { + coeff = _SIMD32_OFFSET(pCoef + (ia * 2U)); + + ia = ia + twidCoefModifier; + + // loop for butterfly + for (i = j; i < fftLen; i += n1) + { + l = i + n2; + + T = _SIMD32_OFFSET(pSrc + (2 * i)); + + S = _SIMD32_OFFSET(pSrc + (2 * l)); + + R = __QSUB16(T, S); + + _SIMD32_OFFSET(pSrc + (2 * i)) = __QADD16(T, S); + + _SIMD32_OFFSET(pSrc + (2U * l)) = R; + + } // butterfly loop end + + } // groups loop end + + twidCoefModifier = twidCoefModifier << 1U; + +#else + + + unsigned i, j, k, l; + unsigned n1, n2, ia; + q15_t xt, yt, cosVal, sinVal; + + //N = fftLen; + n2 = fftLen; + + n1 = n2; + n2 = n2 >> 1; + ia = 0; + + // loop for groups + for (j = 0; j < n2; j++) + { + cosVal = pCoef[ia * 2]; + sinVal = pCoef[(ia * 2) + 1]; + ia = ia + twidCoefModifier; + + // loop for butterfly + for (i = j; i < fftLen; i += n1) + { + l = i + n2; + xt = (pSrc[2 * i] >> 1U) - (pSrc[2 * l] >> 1U); + pSrc[2 * i] = ((pSrc[2 * i] >> 1U) + (pSrc[2 * l] >> 1U)) >> 1U; + + yt = (pSrc[2 * i + 1] >> 1U) - (pSrc[2 * l + 1] >> 1U); + pSrc[2 * i + 1] = + ((pSrc[2 * l + 1] >> 1U) + (pSrc[2 * i + 1] >> 1U)) >> 1U; + + pSrc[2U * l] = (((int16_t) (((q31_t) xt * cosVal) >> 16)) - + ((int16_t) (((q31_t) yt * sinVal) >> 16))); + + pSrc[2U * l + 1U] = (((int16_t) (((q31_t) yt * cosVal) >> 16)) + + ((int16_t) (((q31_t) xt * sinVal) >> 16))); + + } // butterfly loop end + + } // groups loop end + + twidCoefModifier = twidCoefModifier << 1U; + + // loop for stage + for (k = fftLen / 2; k > 2; k = k >> 1) + { + n1 = n2; + n2 = n2 >> 1; + ia = 0; + + // loop for groups + for (j = 0; j < n2; j++) + { + cosVal = pCoef[ia * 2]; + sinVal = pCoef[(ia * 2) + 1]; + ia = ia + twidCoefModifier; + + // loop for butterfly + for (i = j; i < fftLen; i += n1) + { + l = i + n2; + xt = pSrc[2 * i] - pSrc[2 * l]; + pSrc[2 * i] = (pSrc[2 * i] + pSrc[2 * l]) >> 1U; + + yt = pSrc[2 * i + 1] - pSrc[2 * l + 1]; + pSrc[2 * i + 1] = (pSrc[2 * l + 1] + pSrc[2 * i + 1]) >> 1U; + + pSrc[2U * l] = (((int16_t) (((q31_t) xt * cosVal) >> 16)) - + ((int16_t) (((q31_t) yt * sinVal) >> 16))); + + pSrc[2U * l + 1U] = (((int16_t) (((q31_t) yt * cosVal) >> 16)) + + ((int16_t) (((q31_t) xt * sinVal) >> 16))); + + } // butterfly loop end + + } // groups loop end + + twidCoefModifier = twidCoefModifier << 1U; + } // stages loop end + + n1 = n2; + n2 = n2 >> 1; + ia = 0; + + cosVal = pCoef[ia * 2]; + sinVal = pCoef[(ia * 2) + 1]; + + ia = ia + twidCoefModifier; + + // loop for butterfly + for (i = 0; i < fftLen; i += n1) + { + l = i + n2; + xt = pSrc[2 * i] - pSrc[2 * l]; + pSrc[2 * i] = (pSrc[2 * i] + pSrc[2 * l]); + + yt = pSrc[2 * i + 1] - pSrc[2 * l + 1]; + pSrc[2 * i + 1] = (pSrc[2 * l + 1] + pSrc[2 * i + 1]); + + pSrc[2U * l] = xt; + + pSrc[2U * l + 1U] = yt; + + } // groups loop end + + +#endif // #if defined (ARM_MATH_DSP) + +} diff --git a/fw/hid-dials/Drivers/CMSIS/DSP/Source/TransformFunctions/arm_cfft_radix2_q31.c b/fw/hid-dials/Drivers/CMSIS/DSP/Source/TransformFunctions/arm_cfft_radix2_q31.c new file mode 100644 index 0000000..e69400c --- /dev/null +++ b/fw/hid-dials/Drivers/CMSIS/DSP/Source/TransformFunctions/arm_cfft_radix2_q31.c @@ -0,0 +1,338 @@ +/* ---------------------------------------------------------------------- + * Project: CMSIS DSP Library + * Title: arm_cfft_radix2_q31.c + * Description: Radix-2 Decimation in Frequency CFFT & CIFFT Fixed point processing function + * + * $Date: 27. January 2017 + * $Revision: V.1.5.1 + * + * Target Processor: Cortex-M cores + * -------------------------------------------------------------------- */ +/* + * Copyright (C) 2010-2017 ARM Limited or its affiliates. All rights reserved. + * + * SPDX-License-Identifier: Apache-2.0 + * + * Licensed under the Apache License, Version 2.0 (the License); you may + * not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an AS IS BASIS, WITHOUT + * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ + +#include "arm_math.h" + +void arm_radix2_butterfly_q31( + q31_t * pSrc, + uint32_t fftLen, + q31_t * pCoef, + uint16_t twidCoefModifier); + +void arm_radix2_butterfly_inverse_q31( + q31_t * pSrc, + uint32_t fftLen, + q31_t * pCoef, + uint16_t twidCoefModifier); + +void arm_bitreversal_q31( + q31_t * pSrc, + uint32_t fftLen, + uint16_t bitRevFactor, + uint16_t * pBitRevTab); + +/** +* @ingroup groupTransforms +*/ + +/** +* @addtogroup ComplexFFT +* @{ +*/ + +/** +* @details +* @brief Processing function for the fixed-point CFFT/CIFFT. +* @deprecated Do not use this function. It has been superseded by \ref arm_cfft_q31 and will be removed +* @param[in] *S points to an instance of the fixed-point CFFT/CIFFT structure. +* @param[in, out] *pSrc points to the complex data buffer of size 2*fftLen. Processing occurs in-place. +* @return none. +*/ + +void arm_cfft_radix2_q31( +const arm_cfft_radix2_instance_q31 * S, +q31_t * pSrc) +{ + + if (S->ifftFlag == 1U) + { + arm_radix2_butterfly_inverse_q31(pSrc, S->fftLen, + S->pTwiddle, S->twidCoefModifier); + } + else + { + arm_radix2_butterfly_q31(pSrc, S->fftLen, + S->pTwiddle, S->twidCoefModifier); + } + + arm_bitreversal_q31(pSrc, S->fftLen, S->bitRevFactor, S->pBitRevTable); +} + +/** +* @} end of ComplexFFT group +*/ + +void arm_radix2_butterfly_q31( +q31_t * pSrc, +uint32_t fftLen, +q31_t * pCoef, +uint16_t twidCoefModifier) +{ + + unsigned i, j, k, l, m; + unsigned n1, n2, ia; + q31_t xt, yt, cosVal, sinVal; + q31_t p0, p1; + + //N = fftLen; + n2 = fftLen; + + n1 = n2; + n2 = n2 >> 1; + ia = 0; + + // loop for groups + for (i = 0; i < n2; i++) + { + cosVal = pCoef[ia * 2]; + sinVal = pCoef[(ia * 2) + 1]; + ia = ia + twidCoefModifier; + + l = i + n2; + xt = (pSrc[2 * i] >> 1U) - (pSrc[2 * l] >> 1U); + pSrc[2 * i] = ((pSrc[2 * i] >> 1U) + (pSrc[2 * l] >> 1U)) >> 1U; + + yt = (pSrc[2 * i + 1] >> 1U) - (pSrc[2 * l + 1] >> 1U); + pSrc[2 * i + 1] = + ((pSrc[2 * l + 1] >> 1U) + (pSrc[2 * i + 1] >> 1U)) >> 1U; + + mult_32x32_keep32_R(p0, xt, cosVal); + mult_32x32_keep32_R(p1, yt, cosVal); + multAcc_32x32_keep32_R(p0, yt, sinVal); + multSub_32x32_keep32_R(p1, xt, sinVal); + + pSrc[2U * l] = p0; + pSrc[2U * l + 1U] = p1; + + } // groups loop end + + twidCoefModifier <<= 1U; + + // loop for stage + for (k = fftLen / 2; k > 2; k = k >> 1) + { + n1 = n2; + n2 = n2 >> 1; + ia = 0; + + // loop for groups + for (j = 0; j < n2; j++) + { + cosVal = pCoef[ia * 2]; + sinVal = pCoef[(ia * 2) + 1]; + ia = ia + twidCoefModifier; + + // loop for butterfly + i = j; + m = fftLen / n1; + do + { + l = i + n2; + xt = pSrc[2 * i] - pSrc[2 * l]; + pSrc[2 * i] = (pSrc[2 * i] + pSrc[2 * l]) >> 1U; + + yt = pSrc[2 * i + 1] - pSrc[2 * l + 1]; + pSrc[2 * i + 1] = (pSrc[2 * l + 1] + pSrc[2 * i + 1]) >> 1U; + + mult_32x32_keep32_R(p0, xt, cosVal); + mult_32x32_keep32_R(p1, yt, cosVal); + multAcc_32x32_keep32_R(p0, yt, sinVal); + multSub_32x32_keep32_R(p1, xt, sinVal); + + pSrc[2U * l] = p0; + pSrc[2U * l + 1U] = p1; + i += n1; + m--; + } while ( m > 0); // butterfly loop end + + } // groups loop end + + twidCoefModifier <<= 1U; + } // stages loop end + + n1 = n2; + n2 = n2 >> 1; + ia = 0; + + cosVal = pCoef[ia * 2]; + sinVal = pCoef[(ia * 2) + 1]; + ia = ia + twidCoefModifier; + + // loop for butterfly + for (i = 0; i < fftLen; i += n1) + { + l = i + n2; + xt = pSrc[2 * i] - pSrc[2 * l]; + pSrc[2 * i] = (pSrc[2 * i] + pSrc[2 * l]); + + yt = pSrc[2 * i + 1] - pSrc[2 * l + 1]; + pSrc[2 * i + 1] = (pSrc[2 * l + 1] + pSrc[2 * i + 1]); + + pSrc[2U * l] = xt; + + pSrc[2U * l + 1U] = yt; + + i += n1; + l = i + n2; + + xt = pSrc[2 * i] - pSrc[2 * l]; + pSrc[2 * i] = (pSrc[2 * i] + pSrc[2 * l]); + + yt = pSrc[2 * i + 1] - pSrc[2 * l + 1]; + pSrc[2 * i + 1] = (pSrc[2 * l + 1] + pSrc[2 * i + 1]); + + pSrc[2U * l] = xt; + + pSrc[2U * l + 1U] = yt; + + } // butterfly loop end + +} + + +void arm_radix2_butterfly_inverse_q31( +q31_t * pSrc, +uint32_t fftLen, +q31_t * pCoef, +uint16_t twidCoefModifier) +{ + + unsigned i, j, k, l; + unsigned n1, n2, ia; + q31_t xt, yt, cosVal, sinVal; + q31_t p0, p1; + + //N = fftLen; + n2 = fftLen; + + n1 = n2; + n2 = n2 >> 1; + ia = 0; + + // loop for groups + for (i = 0; i < n2; i++) + { + cosVal = pCoef[ia * 2]; + sinVal = pCoef[(ia * 2) + 1]; + ia = ia + twidCoefModifier; + + l = i + n2; + xt = (pSrc[2 * i] >> 1U) - (pSrc[2 * l] >> 1U); + pSrc[2 * i] = ((pSrc[2 * i] >> 1U) + (pSrc[2 * l] >> 1U)) >> 1U; + + yt = (pSrc[2 * i + 1] >> 1U) - (pSrc[2 * l + 1] >> 1U); + pSrc[2 * i + 1] = + ((pSrc[2 * l + 1] >> 1U) + (pSrc[2 * i + 1] >> 1U)) >> 1U; + + mult_32x32_keep32_R(p0, xt, cosVal); + mult_32x32_keep32_R(p1, yt, cosVal); + multSub_32x32_keep32_R(p0, yt, sinVal); + multAcc_32x32_keep32_R(p1, xt, sinVal); + + pSrc[2U * l] = p0; + pSrc[2U * l + 1U] = p1; + } // groups loop end + + twidCoefModifier = twidCoefModifier << 1U; + + // loop for stage + for (k = fftLen / 2; k > 2; k = k >> 1) + { + n1 = n2; + n2 = n2 >> 1; + ia = 0; + + // loop for groups + for (j = 0; j < n2; j++) + { + cosVal = pCoef[ia * 2]; + sinVal = pCoef[(ia * 2) + 1]; + ia = ia + twidCoefModifier; + + // loop for butterfly + for (i = j; i < fftLen; i += n1) + { + l = i + n2; + xt = pSrc[2 * i] - pSrc[2 * l]; + pSrc[2 * i] = (pSrc[2 * i] + pSrc[2 * l]) >> 1U; + + yt = pSrc[2 * i + 1] - pSrc[2 * l + 1]; + pSrc[2 * i + 1] = (pSrc[2 * l + 1] + pSrc[2 * i + 1]) >> 1U; + + mult_32x32_keep32_R(p0, xt, cosVal); + mult_32x32_keep32_R(p1, yt, cosVal); + multSub_32x32_keep32_R(p0, yt, sinVal); + multAcc_32x32_keep32_R(p1, xt, sinVal); + + pSrc[2U * l] = p0; + pSrc[2U * l + 1U] = p1; + } // butterfly loop end + + } // groups loop end + + twidCoefModifier = twidCoefModifier << 1U; + } // stages loop end + + n1 = n2; + n2 = n2 >> 1; + ia = 0; + + cosVal = pCoef[ia * 2]; + sinVal = pCoef[(ia * 2) + 1]; + ia = ia + twidCoefModifier; + + // loop for butterfly + for (i = 0; i < fftLen; i += n1) + { + l = i + n2; + xt = pSrc[2 * i] - pSrc[2 * l]; + pSrc[2 * i] = (pSrc[2 * i] + pSrc[2 * l]); + + yt = pSrc[2 * i + 1] - pSrc[2 * l + 1]; + pSrc[2 * i + 1] = (pSrc[2 * l + 1] + pSrc[2 * i + 1]); + + pSrc[2U * l] = xt; + + pSrc[2U * l + 1U] = yt; + + i += n1; + l = i + n2; + + xt = pSrc[2 * i] - pSrc[2 * l]; + pSrc[2 * i] = (pSrc[2 * i] + pSrc[2 * l]); + + yt = pSrc[2 * i + 1] - pSrc[2 * l + 1]; + pSrc[2 * i + 1] = (pSrc[2 * l + 1] + pSrc[2 * i + 1]); + + pSrc[2U * l] = xt; + + pSrc[2U * l + 1U] = yt; + + } // butterfly loop end + +} diff --git a/fw/hid-dials/Drivers/CMSIS/DSP/Source/TransformFunctions/arm_cfft_radix4_f32.c b/fw/hid-dials/Drivers/CMSIS/DSP/Source/TransformFunctions/arm_cfft_radix4_f32.c new file mode 100644 index 0000000..dbbcca7 --- /dev/null +++ b/fw/hid-dials/Drivers/CMSIS/DSP/Source/TransformFunctions/arm_cfft_radix4_f32.c @@ -0,0 +1,1209 @@ +/* ---------------------------------------------------------------------- + * Project: CMSIS DSP Library + * Title: arm_cfft_radix4_f32.c + * Description: Radix-4 Decimation in Frequency CFFT & CIFFT Floating point processing function + * + * $Date: 27. January 2017 + * $Revision: V.1.5.1 + * + * Target Processor: Cortex-M cores + * -------------------------------------------------------------------- */ +/* + * Copyright (C) 2010-2017 ARM Limited or its affiliates. All rights reserved. + * + * SPDX-License-Identifier: Apache-2.0 + * + * Licensed under the Apache License, Version 2.0 (the License); you may + * not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an AS IS BASIS, WITHOUT + * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ + +#include "arm_math.h" + +extern void arm_bitreversal_f32( +float32_t * pSrc, +uint16_t fftSize, +uint16_t bitRevFactor, +uint16_t * pBitRevTab); + +void arm_radix4_butterfly_f32( +float32_t * pSrc, +uint16_t fftLen, +float32_t * pCoef, +uint16_t twidCoefModifier); + +void arm_radix4_butterfly_inverse_f32( +float32_t * pSrc, +uint16_t fftLen, +float32_t * pCoef, +uint16_t twidCoefModifier, +float32_t onebyfftLen); + + +/** +* @ingroup groupTransforms +*/ + +/** +* @addtogroup ComplexFFT +* @{ +*/ + +/** +* @details +* @brief Processing function for the floating-point Radix-4 CFFT/CIFFT. +* @deprecated Do not use this function. It has been superseded by \ref arm_cfft_f32 and will be removed +* in the future. +* @param[in] *S points to an instance of the floating-point Radix-4 CFFT/CIFFT structure. +* @param[in, out] *pSrc points to the complex data buffer of size 2*fftLen. Processing occurs in-place. +* @return none. +*/ + +void arm_cfft_radix4_f32( + const arm_cfft_radix4_instance_f32 * S, + float32_t * pSrc) +{ + if (S->ifftFlag == 1U) + { + /* Complex IFFT radix-4 */ + arm_radix4_butterfly_inverse_f32(pSrc, S->fftLen, S->pTwiddle, S->twidCoefModifier, S->onebyfftLen); + } + else + { + /* Complex FFT radix-4 */ + arm_radix4_butterfly_f32(pSrc, S->fftLen, S->pTwiddle, S->twidCoefModifier); + } + + if (S->bitReverseFlag == 1U) + { + /* Bit Reversal */ + arm_bitreversal_f32(pSrc, S->fftLen, S->bitRevFactor, S->pBitRevTable); + } + +} + +/** +* @} end of ComplexFFT group +*/ + +/* ---------------------------------------------------------------------- + * Internal helper function used by the FFTs + * ---------------------------------------------------------------------- */ + +/* +* @brief Core function for the floating-point CFFT butterfly process. +* @param[in, out] *pSrc points to the in-place buffer of floating-point data type. +* @param[in] fftLen length of the FFT. +* @param[in] *pCoef points to the twiddle coefficient buffer. +* @param[in] twidCoefModifier twiddle coefficient modifier that supports different size FFTs with the same twiddle factor table. +* @return none. +*/ + +void arm_radix4_butterfly_f32( +float32_t * pSrc, +uint16_t fftLen, +float32_t * pCoef, +uint16_t twidCoefModifier) +{ + + float32_t co1, co2, co3, si1, si2, si3; + uint32_t ia1, ia2, ia3; + uint32_t i0, i1, i2, i3; + uint32_t n1, n2, j, k; + +#if defined (ARM_MATH_DSP) + + /* Run the below code for Cortex-M4 and Cortex-M3 */ + + float32_t xaIn, yaIn, xbIn, ybIn, xcIn, ycIn, xdIn, ydIn; + float32_t Xaplusc, Xbplusd, Yaplusc, Ybplusd, Xaminusc, Xbminusd, Yaminusc, + Ybminusd; + float32_t Xb12C_out, Yb12C_out, Xc12C_out, Yc12C_out, Xd12C_out, Yd12C_out; + float32_t Xb12_out, Yb12_out, Xc12_out, Yc12_out, Xd12_out, Yd12_out; + float32_t *ptr1; + float32_t p0,p1,p2,p3,p4,p5; + float32_t a0,a1,a2,a3,a4,a5,a6,a7; + + /* Initializations for the first stage */ + n2 = fftLen; + n1 = n2; + + /* n2 = fftLen/4 */ + n2 >>= 2U; + i0 = 0U; + ia1 = 0U; + + j = n2; + + /* Calculation of first stage */ + do + { + /* index calculation for the input as, */ + /* pSrc[i0 + 0], pSrc[i0 + fftLen/4], pSrc[i0 + fftLen/2], pSrc[i0 + 3fftLen/4] */ + i1 = i0 + n2; + i2 = i1 + n2; + i3 = i2 + n2; + + xaIn = pSrc[(2U * i0)]; + yaIn = pSrc[(2U * i0) + 1U]; + + xbIn = pSrc[(2U * i1)]; + ybIn = pSrc[(2U * i1) + 1U]; + + xcIn = pSrc[(2U * i2)]; + ycIn = pSrc[(2U * i2) + 1U]; + + xdIn = pSrc[(2U * i3)]; + ydIn = pSrc[(2U * i3) + 1U]; + + /* xa + xc */ + Xaplusc = xaIn + xcIn; + /* xb + xd */ + Xbplusd = xbIn + xdIn; + /* ya + yc */ + Yaplusc = yaIn + ycIn; + /* yb + yd */ + Ybplusd = ybIn + ydIn; + + /* index calculation for the coefficients */ + ia2 = ia1 + ia1; + co2 = pCoef[ia2 * 2U]; + si2 = pCoef[(ia2 * 2U) + 1U]; + + /* xa - xc */ + Xaminusc = xaIn - xcIn; + /* xb - xd */ + Xbminusd = xbIn - xdIn; + /* ya - yc */ + Yaminusc = yaIn - ycIn; + /* yb - yd */ + Ybminusd = ybIn - ydIn; + + /* xa' = xa + xb + xc + xd */ + pSrc[(2U * i0)] = Xaplusc + Xbplusd; + /* ya' = ya + yb + yc + yd */ + pSrc[(2U * i0) + 1U] = Yaplusc + Ybplusd; + + /* (xa - xc) + (yb - yd) */ + Xb12C_out = (Xaminusc + Ybminusd); + /* (ya - yc) + (xb - xd) */ + Yb12C_out = (Yaminusc - Xbminusd); + /* (xa + xc) - (xb + xd) */ + Xc12C_out = (Xaplusc - Xbplusd); + /* (ya + yc) - (yb + yd) */ + Yc12C_out = (Yaplusc - Ybplusd); + /* (xa - xc) - (yb - yd) */ + Xd12C_out = (Xaminusc - Ybminusd); + /* (ya - yc) + (xb - xd) */ + Yd12C_out = (Xbminusd + Yaminusc); + + co1 = pCoef[ia1 * 2U]; + si1 = pCoef[(ia1 * 2U) + 1U]; + + /* index calculation for the coefficients */ + ia3 = ia2 + ia1; + co3 = pCoef[ia3 * 2U]; + si3 = pCoef[(ia3 * 2U) + 1U]; + + Xb12_out = Xb12C_out * co1; + Yb12_out = Yb12C_out * co1; + Xc12_out = Xc12C_out * co2; + Yc12_out = Yc12C_out * co2; + Xd12_out = Xd12C_out * co3; + Yd12_out = Yd12C_out * co3; + + /* xb' = (xa+yb-xc-yd)co1 - (ya-xb-yc+xd)(si1) */ + //Xb12_out -= Yb12C_out * si1; + p0 = Yb12C_out * si1; + /* yb' = (ya-xb-yc+xd)co1 + (xa+yb-xc-yd)(si1) */ + //Yb12_out += Xb12C_out * si1; + p1 = Xb12C_out * si1; + /* xc' = (xa-xb+xc-xd)co2 - (ya-yb+yc-yd)(si2) */ + //Xc12_out -= Yc12C_out * si2; + p2 = Yc12C_out * si2; + /* yc' = (ya-yb+yc-yd)co2 + (xa-xb+xc-xd)(si2) */ + //Yc12_out += Xc12C_out * si2; + p3 = Xc12C_out * si2; + /* xd' = (xa-yb-xc+yd)co3 - (ya+xb-yc-xd)(si3) */ + //Xd12_out -= Yd12C_out * si3; + p4 = Yd12C_out * si3; + /* yd' = (ya+xb-yc-xd)co3 + (xa-yb-xc+yd)(si3) */ + //Yd12_out += Xd12C_out * si3; + p5 = Xd12C_out * si3; + + Xb12_out += p0; + Yb12_out -= p1; + Xc12_out += p2; + Yc12_out -= p3; + Xd12_out += p4; + Yd12_out -= p5; + + /* xc' = (xa-xb+xc-xd)co2 + (ya-yb+yc-yd)(si2) */ + pSrc[2U * i1] = Xc12_out; + + /* yc' = (ya-yb+yc-yd)co2 - (xa-xb+xc-xd)(si2) */ + pSrc[(2U * i1) + 1U] = Yc12_out; + + /* xb' = (xa+yb-xc-yd)co1 + (ya-xb-yc+xd)(si1) */ + pSrc[2U * i2] = Xb12_out; + + /* yb' = (ya-xb-yc+xd)co1 - (xa+yb-xc-yd)(si1) */ + pSrc[(2U * i2) + 1U] = Yb12_out; + + /* xd' = (xa-yb-xc+yd)co3 + (ya+xb-yc-xd)(si3) */ + pSrc[2U * i3] = Xd12_out; + + /* yd' = (ya+xb-yc-xd)co3 - (xa-yb-xc+yd)(si3) */ + pSrc[(2U * i3) + 1U] = Yd12_out; + + /* Twiddle coefficients index modifier */ + ia1 += twidCoefModifier; + + /* Updating input index */ + i0++; + + } + while (--j); + + twidCoefModifier <<= 2U; + + /* Calculation of second stage to excluding last stage */ + for (k = fftLen >> 2U; k > 4U; k >>= 2U) + { + /* Initializations for the first stage */ + n1 = n2; + n2 >>= 2U; + ia1 = 0U; + + /* Calculation of first stage */ + j = 0; + do + { + /* index calculation for the coefficients */ + ia2 = ia1 + ia1; + ia3 = ia2 + ia1; + co1 = pCoef[ia1 * 2U]; + si1 = pCoef[(ia1 * 2U) + 1U]; + co2 = pCoef[ia2 * 2U]; + si2 = pCoef[(ia2 * 2U) + 1U]; + co3 = pCoef[ia3 * 2U]; + si3 = pCoef[(ia3 * 2U) + 1U]; + + /* Twiddle coefficients index modifier */ + ia1 += twidCoefModifier; + + i0 = j; + do + { + /* index calculation for the input as, */ + /* pSrc[i0 + 0], pSrc[i0 + fftLen/4], pSrc[i0 + fftLen/2], pSrc[i0 + 3fftLen/4] */ + i1 = i0 + n2; + i2 = i1 + n2; + i3 = i2 + n2; + + xaIn = pSrc[(2U * i0)]; + yaIn = pSrc[(2U * i0) + 1U]; + + xbIn = pSrc[(2U * i1)]; + ybIn = pSrc[(2U * i1) + 1U]; + + xcIn = pSrc[(2U * i2)]; + ycIn = pSrc[(2U * i2) + 1U]; + + xdIn = pSrc[(2U * i3)]; + ydIn = pSrc[(2U * i3) + 1U]; + + /* xa - xc */ + Xaminusc = xaIn - xcIn; + /* (xb - xd) */ + Xbminusd = xbIn - xdIn; + /* ya - yc */ + Yaminusc = yaIn - ycIn; + /* (yb - yd) */ + Ybminusd = ybIn - ydIn; + + /* xa + xc */ + Xaplusc = xaIn + xcIn; + /* xb + xd */ + Xbplusd = xbIn + xdIn; + /* ya + yc */ + Yaplusc = yaIn + ycIn; + /* yb + yd */ + Ybplusd = ybIn + ydIn; + + /* (xa - xc) + (yb - yd) */ + Xb12C_out = (Xaminusc + Ybminusd); + /* (ya - yc) - (xb - xd) */ + Yb12C_out = (Yaminusc - Xbminusd); + /* xa + xc -(xb + xd) */ + Xc12C_out = (Xaplusc - Xbplusd); + /* (ya + yc) - (yb + yd) */ + Yc12C_out = (Yaplusc - Ybplusd); + /* (xa - xc) - (yb - yd) */ + Xd12C_out = (Xaminusc - Ybminusd); + /* (ya - yc) + (xb - xd) */ + Yd12C_out = (Xbminusd + Yaminusc); + + pSrc[(2U * i0)] = Xaplusc + Xbplusd; + pSrc[(2U * i0) + 1U] = Yaplusc + Ybplusd; + + Xb12_out = Xb12C_out * co1; + Yb12_out = Yb12C_out * co1; + Xc12_out = Xc12C_out * co2; + Yc12_out = Yc12C_out * co2; + Xd12_out = Xd12C_out * co3; + Yd12_out = Yd12C_out * co3; + + /* xb' = (xa+yb-xc-yd)co1 - (ya-xb-yc+xd)(si1) */ + //Xb12_out -= Yb12C_out * si1; + p0 = Yb12C_out * si1; + /* yb' = (ya-xb-yc+xd)co1 + (xa+yb-xc-yd)(si1) */ + //Yb12_out += Xb12C_out * si1; + p1 = Xb12C_out * si1; + /* xc' = (xa-xb+xc-xd)co2 - (ya-yb+yc-yd)(si2) */ + //Xc12_out -= Yc12C_out * si2; + p2 = Yc12C_out * si2; + /* yc' = (ya-yb+yc-yd)co2 + (xa-xb+xc-xd)(si2) */ + //Yc12_out += Xc12C_out * si2; + p3 = Xc12C_out * si2; + /* xd' = (xa-yb-xc+yd)co3 - (ya+xb-yc-xd)(si3) */ + //Xd12_out -= Yd12C_out * si3; + p4 = Yd12C_out * si3; + /* yd' = (ya+xb-yc-xd)co3 + (xa-yb-xc+yd)(si3) */ + //Yd12_out += Xd12C_out * si3; + p5 = Xd12C_out * si3; + + Xb12_out += p0; + Yb12_out -= p1; + Xc12_out += p2; + Yc12_out -= p3; + Xd12_out += p4; + Yd12_out -= p5; + + /* xc' = (xa-xb+xc-xd)co2 + (ya-yb+yc-yd)(si2) */ + pSrc[2U * i1] = Xc12_out; + + /* yc' = (ya-yb+yc-yd)co2 - (xa-xb+xc-xd)(si2) */ + pSrc[(2U * i1) + 1U] = Yc12_out; + + /* xb' = (xa+yb-xc-yd)co1 + (ya-xb-yc+xd)(si1) */ + pSrc[2U * i2] = Xb12_out; + + /* yb' = (ya-xb-yc+xd)co1 - (xa+yb-xc-yd)(si1) */ + pSrc[(2U * i2) + 1U] = Yb12_out; + + /* xd' = (xa-yb-xc+yd)co3 + (ya+xb-yc-xd)(si3) */ + pSrc[2U * i3] = Xd12_out; + + /* yd' = (ya+xb-yc-xd)co3 - (xa-yb-xc+yd)(si3) */ + pSrc[(2U * i3) + 1U] = Yd12_out; + + i0 += n1; + } while (i0 < fftLen); + j++; + } while (j <= (n2 - 1U)); + twidCoefModifier <<= 2U; + } + + j = fftLen >> 2; + ptr1 = &pSrc[0]; + + /* Calculations of last stage */ + do + { + xaIn = ptr1[0]; + yaIn = ptr1[1]; + xbIn = ptr1[2]; + ybIn = ptr1[3]; + xcIn = ptr1[4]; + ycIn = ptr1[5]; + xdIn = ptr1[6]; + ydIn = ptr1[7]; + + /* xa + xc */ + Xaplusc = xaIn + xcIn; + + /* xa - xc */ + Xaminusc = xaIn - xcIn; + + /* ya + yc */ + Yaplusc = yaIn + ycIn; + + /* ya - yc */ + Yaminusc = yaIn - ycIn; + + /* xb + xd */ + Xbplusd = xbIn + xdIn; + + /* yb + yd */ + Ybplusd = ybIn + ydIn; + + /* (xb-xd) */ + Xbminusd = xbIn - xdIn; + + /* (yb-yd) */ + Ybminusd = ybIn - ydIn; + + /* xa' = xa + xb + xc + xd */ + a0 = (Xaplusc + Xbplusd); + /* ya' = ya + yb + yc + yd */ + a1 = (Yaplusc + Ybplusd); + /* xc' = (xa-xb+xc-xd) */ + a2 = (Xaplusc - Xbplusd); + /* yc' = (ya-yb+yc-yd) */ + a3 = (Yaplusc - Ybplusd); + /* xb' = (xa+yb-xc-yd) */ + a4 = (Xaminusc + Ybminusd); + /* yb' = (ya-xb-yc+xd) */ + a5 = (Yaminusc - Xbminusd); + /* xd' = (xa-yb-xc+yd)) */ + a6 = (Xaminusc - Ybminusd); + /* yd' = (ya+xb-yc-xd) */ + a7 = (Xbminusd + Yaminusc); + + ptr1[0] = a0; + ptr1[1] = a1; + ptr1[2] = a2; + ptr1[3] = a3; + ptr1[4] = a4; + ptr1[5] = a5; + ptr1[6] = a6; + ptr1[7] = a7; + + /* increment pointer by 8 */ + ptr1 += 8U; + } while (--j); + +#else + + float32_t t1, t2, r1, r2, s1, s2; + + /* Run the below code for Cortex-M0 */ + + /* Initializations for the fft calculation */ + n2 = fftLen; + n1 = n2; + for (k = fftLen; k > 1U; k >>= 2U) + { + /* Initializations for the fft calculation */ + n1 = n2; + n2 >>= 2U; + ia1 = 0U; + + /* FFT Calculation */ + j = 0; + do + { + /* index calculation for the coefficients */ + ia2 = ia1 + ia1; + ia3 = ia2 + ia1; + co1 = pCoef[ia1 * 2U]; + si1 = pCoef[(ia1 * 2U) + 1U]; + co2 = pCoef[ia2 * 2U]; + si2 = pCoef[(ia2 * 2U) + 1U]; + co3 = pCoef[ia3 * 2U]; + si3 = pCoef[(ia3 * 2U) + 1U]; + + /* Twiddle coefficients index modifier */ + ia1 = ia1 + twidCoefModifier; + + i0 = j; + do + { + /* index calculation for the input as, */ + /* pSrc[i0 + 0], pSrc[i0 + fftLen/4], pSrc[i0 + fftLen/2], pSrc[i0 + 3fftLen/4] */ + i1 = i0 + n2; + i2 = i1 + n2; + i3 = i2 + n2; + + /* xa + xc */ + r1 = pSrc[(2U * i0)] + pSrc[(2U * i2)]; + + /* xa - xc */ + r2 = pSrc[(2U * i0)] - pSrc[(2U * i2)]; + + /* ya + yc */ + s1 = pSrc[(2U * i0) + 1U] + pSrc[(2U * i2) + 1U]; + + /* ya - yc */ + s2 = pSrc[(2U * i0) + 1U] - pSrc[(2U * i2) + 1U]; + + /* xb + xd */ + t1 = pSrc[2U * i1] + pSrc[2U * i3]; + + /* xa' = xa + xb + xc + xd */ + pSrc[2U * i0] = r1 + t1; + + /* xa + xc -(xb + xd) */ + r1 = r1 - t1; + + /* yb + yd */ + t2 = pSrc[(2U * i1) + 1U] + pSrc[(2U * i3) + 1U]; + + /* ya' = ya + yb + yc + yd */ + pSrc[(2U * i0) + 1U] = s1 + t2; + + /* (ya + yc) - (yb + yd) */ + s1 = s1 - t2; + + /* (yb - yd) */ + t1 = pSrc[(2U * i1) + 1U] - pSrc[(2U * i3) + 1U]; + + /* (xb - xd) */ + t2 = pSrc[2U * i1] - pSrc[2U * i3]; + + /* xc' = (xa-xb+xc-xd)co2 + (ya-yb+yc-yd)(si2) */ + pSrc[2U * i1] = (r1 * co2) + (s1 * si2); + + /* yc' = (ya-yb+yc-yd)co2 - (xa-xb+xc-xd)(si2) */ + pSrc[(2U * i1) + 1U] = (s1 * co2) - (r1 * si2); + + /* (xa - xc) + (yb - yd) */ + r1 = r2 + t1; + + /* (xa - xc) - (yb - yd) */ + r2 = r2 - t1; + + /* (ya - yc) - (xb - xd) */ + s1 = s2 - t2; + + /* (ya - yc) + (xb - xd) */ + s2 = s2 + t2; + + /* xb' = (xa+yb-xc-yd)co1 + (ya-xb-yc+xd)(si1) */ + pSrc[2U * i2] = (r1 * co1) + (s1 * si1); + + /* yb' = (ya-xb-yc+xd)co1 - (xa+yb-xc-yd)(si1) */ + pSrc[(2U * i2) + 1U] = (s1 * co1) - (r1 * si1); + + /* xd' = (xa-yb-xc+yd)co3 + (ya+xb-yc-xd)(si3) */ + pSrc[2U * i3] = (r2 * co3) + (s2 * si3); + + /* yd' = (ya+xb-yc-xd)co3 - (xa-yb-xc+yd)(si3) */ + pSrc[(2U * i3) + 1U] = (s2 * co3) - (r2 * si3); + + i0 += n1; + } while ( i0 < fftLen); + j++; + } while (j <= (n2 - 1U)); + twidCoefModifier <<= 2U; + } + +#endif /* #if defined (ARM_MATH_DSP) */ + +} + +/* +* @brief Core function for the floating-point CIFFT butterfly process. +* @param[in, out] *pSrc points to the in-place buffer of floating-point data type. +* @param[in] fftLen length of the FFT. +* @param[in] *pCoef points to twiddle coefficient buffer. +* @param[in] twidCoefModifier twiddle coefficient modifier that supports different size FFTs with the same twiddle factor table. +* @param[in] onebyfftLen value of 1/fftLen. +* @return none. +*/ + +void arm_radix4_butterfly_inverse_f32( +float32_t * pSrc, +uint16_t fftLen, +float32_t * pCoef, +uint16_t twidCoefModifier, +float32_t onebyfftLen) +{ + float32_t co1, co2, co3, si1, si2, si3; + uint32_t ia1, ia2, ia3; + uint32_t i0, i1, i2, i3; + uint32_t n1, n2, j, k; + +#if defined (ARM_MATH_DSP) + + float32_t xaIn, yaIn, xbIn, ybIn, xcIn, ycIn, xdIn, ydIn; + float32_t Xaplusc, Xbplusd, Yaplusc, Ybplusd, Xaminusc, Xbminusd, Yaminusc, + Ybminusd; + float32_t Xb12C_out, Yb12C_out, Xc12C_out, Yc12C_out, Xd12C_out, Yd12C_out; + float32_t Xb12_out, Yb12_out, Xc12_out, Yc12_out, Xd12_out, Yd12_out; + float32_t *ptr1; + float32_t p0,p1,p2,p3,p4,p5,p6,p7; + float32_t a0,a1,a2,a3,a4,a5,a6,a7; + + + /* Initializations for the first stage */ + n2 = fftLen; + n1 = n2; + + /* n2 = fftLen/4 */ + n2 >>= 2U; + i0 = 0U; + ia1 = 0U; + + j = n2; + + /* Calculation of first stage */ + do + { + /* index calculation for the input as, */ + /* pSrc[i0 + 0], pSrc[i0 + fftLen/4], pSrc[i0 + fftLen/2], pSrc[i0 + 3fftLen/4] */ + i1 = i0 + n2; + i2 = i1 + n2; + i3 = i2 + n2; + + /* Butterfly implementation */ + xaIn = pSrc[(2U * i0)]; + yaIn = pSrc[(2U * i0) + 1U]; + + xcIn = pSrc[(2U * i2)]; + ycIn = pSrc[(2U * i2) + 1U]; + + xbIn = pSrc[(2U * i1)]; + ybIn = pSrc[(2U * i1) + 1U]; + + xdIn = pSrc[(2U * i3)]; + ydIn = pSrc[(2U * i3) + 1U]; + + /* xa + xc */ + Xaplusc = xaIn + xcIn; + /* xb + xd */ + Xbplusd = xbIn + xdIn; + /* ya + yc */ + Yaplusc = yaIn + ycIn; + /* yb + yd */ + Ybplusd = ybIn + ydIn; + + /* index calculation for the coefficients */ + ia2 = ia1 + ia1; + co2 = pCoef[ia2 * 2U]; + si2 = pCoef[(ia2 * 2U) + 1U]; + + /* xa - xc */ + Xaminusc = xaIn - xcIn; + /* xb - xd */ + Xbminusd = xbIn - xdIn; + /* ya - yc */ + Yaminusc = yaIn - ycIn; + /* yb - yd */ + Ybminusd = ybIn - ydIn; + + /* xa' = xa + xb + xc + xd */ + pSrc[(2U * i0)] = Xaplusc + Xbplusd; + + /* ya' = ya + yb + yc + yd */ + pSrc[(2U * i0) + 1U] = Yaplusc + Ybplusd; + + /* (xa - xc) - (yb - yd) */ + Xb12C_out = (Xaminusc - Ybminusd); + /* (ya - yc) + (xb - xd) */ + Yb12C_out = (Yaminusc + Xbminusd); + /* (xa + xc) - (xb + xd) */ + Xc12C_out = (Xaplusc - Xbplusd); + /* (ya + yc) - (yb + yd) */ + Yc12C_out = (Yaplusc - Ybplusd); + /* (xa - xc) + (yb - yd) */ + Xd12C_out = (Xaminusc + Ybminusd); + /* (ya - yc) - (xb - xd) */ + Yd12C_out = (Yaminusc - Xbminusd); + + co1 = pCoef[ia1 * 2U]; + si1 = pCoef[(ia1 * 2U) + 1U]; + + /* index calculation for the coefficients */ + ia3 = ia2 + ia1; + co3 = pCoef[ia3 * 2U]; + si3 = pCoef[(ia3 * 2U) + 1U]; + + Xb12_out = Xb12C_out * co1; + Yb12_out = Yb12C_out * co1; + Xc12_out = Xc12C_out * co2; + Yc12_out = Yc12C_out * co2; + Xd12_out = Xd12C_out * co3; + Yd12_out = Yd12C_out * co3; + + /* xb' = (xa+yb-xc-yd)co1 - (ya-xb-yc+xd)(si1) */ + //Xb12_out -= Yb12C_out * si1; + p0 = Yb12C_out * si1; + /* yb' = (ya-xb-yc+xd)co1 + (xa+yb-xc-yd)(si1) */ + //Yb12_out += Xb12C_out * si1; + p1 = Xb12C_out * si1; + /* xc' = (xa-xb+xc-xd)co2 - (ya-yb+yc-yd)(si2) */ + //Xc12_out -= Yc12C_out * si2; + p2 = Yc12C_out * si2; + /* yc' = (ya-yb+yc-yd)co2 + (xa-xb+xc-xd)(si2) */ + //Yc12_out += Xc12C_out * si2; + p3 = Xc12C_out * si2; + /* xd' = (xa-yb-xc+yd)co3 - (ya+xb-yc-xd)(si3) */ + //Xd12_out -= Yd12C_out * si3; + p4 = Yd12C_out * si3; + /* yd' = (ya+xb-yc-xd)co3 + (xa-yb-xc+yd)(si3) */ + //Yd12_out += Xd12C_out * si3; + p5 = Xd12C_out * si3; + + Xb12_out -= p0; + Yb12_out += p1; + Xc12_out -= p2; + Yc12_out += p3; + Xd12_out -= p4; + Yd12_out += p5; + + /* xc' = (xa-xb+xc-xd)co2 - (ya-yb+yc-yd)(si2) */ + pSrc[2U * i1] = Xc12_out; + + /* yc' = (ya-yb+yc-yd)co2 + (xa-xb+xc-xd)(si2) */ + pSrc[(2U * i1) + 1U] = Yc12_out; + + /* xb' = (xa+yb-xc-yd)co1 - (ya-xb-yc+xd)(si1) */ + pSrc[2U * i2] = Xb12_out; + + /* yb' = (ya-xb-yc+xd)co1 + (xa+yb-xc-yd)(si1) */ + pSrc[(2U * i2) + 1U] = Yb12_out; + + /* xd' = (xa-yb-xc+yd)co3 - (ya+xb-yc-xd)(si3) */ + pSrc[2U * i3] = Xd12_out; + + /* yd' = (ya+xb-yc-xd)co3 + (xa-yb-xc+yd)(si3) */ + pSrc[(2U * i3) + 1U] = Yd12_out; + + /* Twiddle coefficients index modifier */ + ia1 = ia1 + twidCoefModifier; + + /* Updating input index */ + i0 = i0 + 1U; + + } while (--j); + + twidCoefModifier <<= 2U; + + /* Calculation of second stage to excluding last stage */ + for (k = fftLen >> 2U; k > 4U; k >>= 2U) + { + /* Initializations for the first stage */ + n1 = n2; + n2 >>= 2U; + ia1 = 0U; + + /* Calculation of first stage */ + j = 0; + do + { + /* index calculation for the coefficients */ + ia2 = ia1 + ia1; + ia3 = ia2 + ia1; + co1 = pCoef[ia1 * 2U]; + si1 = pCoef[(ia1 * 2U) + 1U]; + co2 = pCoef[ia2 * 2U]; + si2 = pCoef[(ia2 * 2U) + 1U]; + co3 = pCoef[ia3 * 2U]; + si3 = pCoef[(ia3 * 2U) + 1U]; + + /* Twiddle coefficients index modifier */ + ia1 = ia1 + twidCoefModifier; + + i0 = j; + do + { + /* index calculation for the input as, */ + /* pSrc[i0 + 0], pSrc[i0 + fftLen/4], pSrc[i0 + fftLen/2], pSrc[i0 + 3fftLen/4] */ + i1 = i0 + n2; + i2 = i1 + n2; + i3 = i2 + n2; + + xaIn = pSrc[(2U * i0)]; + yaIn = pSrc[(2U * i0) + 1U]; + + xbIn = pSrc[(2U * i1)]; + ybIn = pSrc[(2U * i1) + 1U]; + + xcIn = pSrc[(2U * i2)]; + ycIn = pSrc[(2U * i2) + 1U]; + + xdIn = pSrc[(2U * i3)]; + ydIn = pSrc[(2U * i3) + 1U]; + + /* xa - xc */ + Xaminusc = xaIn - xcIn; + /* (xb - xd) */ + Xbminusd = xbIn - xdIn; + /* ya - yc */ + Yaminusc = yaIn - ycIn; + /* (yb - yd) */ + Ybminusd = ybIn - ydIn; + + /* xa + xc */ + Xaplusc = xaIn + xcIn; + /* xb + xd */ + Xbplusd = xbIn + xdIn; + /* ya + yc */ + Yaplusc = yaIn + ycIn; + /* yb + yd */ + Ybplusd = ybIn + ydIn; + + /* (xa - xc) - (yb - yd) */ + Xb12C_out = (Xaminusc - Ybminusd); + /* (ya - yc) + (xb - xd) */ + Yb12C_out = (Yaminusc + Xbminusd); + /* xa + xc -(xb + xd) */ + Xc12C_out = (Xaplusc - Xbplusd); + /* (ya + yc) - (yb + yd) */ + Yc12C_out = (Yaplusc - Ybplusd); + /* (xa - xc) + (yb - yd) */ + Xd12C_out = (Xaminusc + Ybminusd); + /* (ya - yc) - (xb - xd) */ + Yd12C_out = (Yaminusc - Xbminusd); + + pSrc[(2U * i0)] = Xaplusc + Xbplusd; + pSrc[(2U * i0) + 1U] = Yaplusc + Ybplusd; + + Xb12_out = Xb12C_out * co1; + Yb12_out = Yb12C_out * co1; + Xc12_out = Xc12C_out * co2; + Yc12_out = Yc12C_out * co2; + Xd12_out = Xd12C_out * co3; + Yd12_out = Yd12C_out * co3; + + /* xb' = (xa+yb-xc-yd)co1 - (ya-xb-yc+xd)(si1) */ + //Xb12_out -= Yb12C_out * si1; + p0 = Yb12C_out * si1; + /* yb' = (ya-xb-yc+xd)co1 + (xa+yb-xc-yd)(si1) */ + //Yb12_out += Xb12C_out * si1; + p1 = Xb12C_out * si1; + /* xc' = (xa-xb+xc-xd)co2 - (ya-yb+yc-yd)(si2) */ + //Xc12_out -= Yc12C_out * si2; + p2 = Yc12C_out * si2; + /* yc' = (ya-yb+yc-yd)co2 + (xa-xb+xc-xd)(si2) */ + //Yc12_out += Xc12C_out * si2; + p3 = Xc12C_out * si2; + /* xd' = (xa-yb-xc+yd)co3 - (ya+xb-yc-xd)(si3) */ + //Xd12_out -= Yd12C_out * si3; + p4 = Yd12C_out * si3; + /* yd' = (ya+xb-yc-xd)co3 + (xa-yb-xc+yd)(si3) */ + //Yd12_out += Xd12C_out * si3; + p5 = Xd12C_out * si3; + + Xb12_out -= p0; + Yb12_out += p1; + Xc12_out -= p2; + Yc12_out += p3; + Xd12_out -= p4; + Yd12_out += p5; + + /* xc' = (xa-xb+xc-xd)co2 - (ya-yb+yc-yd)(si2) */ + pSrc[2U * i1] = Xc12_out; + + /* yc' = (ya-yb+yc-yd)co2 + (xa-xb+xc-xd)(si2) */ + pSrc[(2U * i1) + 1U] = Yc12_out; + + /* xb' = (xa+yb-xc-yd)co1 - (ya-xb-yc+xd)(si1) */ + pSrc[2U * i2] = Xb12_out; + + /* yb' = (ya-xb-yc+xd)co1 + (xa+yb-xc-yd)(si1) */ + pSrc[(2U * i2) + 1U] = Yb12_out; + + /* xd' = (xa-yb-xc+yd)co3 - (ya+xb-yc-xd)(si3) */ + pSrc[2U * i3] = Xd12_out; + + /* yd' = (ya+xb-yc-xd)co3 + (xa-yb-xc+yd)(si3) */ + pSrc[(2U * i3) + 1U] = Yd12_out; + + i0 += n1; + } while (i0 < fftLen); + j++; + } while (j <= (n2 - 1U)); + twidCoefModifier <<= 2U; + } + /* Initializations of last stage */ + + j = fftLen >> 2; + ptr1 = &pSrc[0]; + + /* Calculations of last stage */ + do + { + xaIn = ptr1[0]; + yaIn = ptr1[1]; + xbIn = ptr1[2]; + ybIn = ptr1[3]; + xcIn = ptr1[4]; + ycIn = ptr1[5]; + xdIn = ptr1[6]; + ydIn = ptr1[7]; + + /* Butterfly implementation */ + /* xa + xc */ + Xaplusc = xaIn + xcIn; + + /* xa - xc */ + Xaminusc = xaIn - xcIn; + + /* ya + yc */ + Yaplusc = yaIn + ycIn; + + /* ya - yc */ + Yaminusc = yaIn - ycIn; + + /* xb + xd */ + Xbplusd = xbIn + xdIn; + + /* yb + yd */ + Ybplusd = ybIn + ydIn; + + /* (xb-xd) */ + Xbminusd = xbIn - xdIn; + + /* (yb-yd) */ + Ybminusd = ybIn - ydIn; + + /* xa' = (xa+xb+xc+xd) * onebyfftLen */ + a0 = (Xaplusc + Xbplusd); + /* ya' = (ya+yb+yc+yd) * onebyfftLen */ + a1 = (Yaplusc + Ybplusd); + /* xc' = (xa-xb+xc-xd) * onebyfftLen */ + a2 = (Xaplusc - Xbplusd); + /* yc' = (ya-yb+yc-yd) * onebyfftLen */ + a3 = (Yaplusc - Ybplusd); + /* xb' = (xa-yb-xc+yd) * onebyfftLen */ + a4 = (Xaminusc - Ybminusd); + /* yb' = (ya+xb-yc-xd) * onebyfftLen */ + a5 = (Yaminusc + Xbminusd); + /* xd' = (xa-yb-xc+yd) * onebyfftLen */ + a6 = (Xaminusc + Ybminusd); + /* yd' = (ya-xb-yc+xd) * onebyfftLen */ + a7 = (Yaminusc - Xbminusd); + + p0 = a0 * onebyfftLen; + p1 = a1 * onebyfftLen; + p2 = a2 * onebyfftLen; + p3 = a3 * onebyfftLen; + p4 = a4 * onebyfftLen; + p5 = a5 * onebyfftLen; + p6 = a6 * onebyfftLen; + p7 = a7 * onebyfftLen; + + /* xa' = (xa+xb+xc+xd) * onebyfftLen */ + ptr1[0] = p0; + /* ya' = (ya+yb+yc+yd) * onebyfftLen */ + ptr1[1] = p1; + /* xc' = (xa-xb+xc-xd) * onebyfftLen */ + ptr1[2] = p2; + /* yc' = (ya-yb+yc-yd) * onebyfftLen */ + ptr1[3] = p3; + /* xb' = (xa-yb-xc+yd) * onebyfftLen */ + ptr1[4] = p4; + /* yb' = (ya+xb-yc-xd) * onebyfftLen */ + ptr1[5] = p5; + /* xd' = (xa-yb-xc+yd) * onebyfftLen */ + ptr1[6] = p6; + /* yd' = (ya-xb-yc+xd) * onebyfftLen */ + ptr1[7] = p7; + + /* increment source pointer by 8 for next calculations */ + ptr1 = ptr1 + 8U; + + } while (--j); + +#else + + float32_t t1, t2, r1, r2, s1, s2; + + /* Run the below code for Cortex-M0 */ + + /* Initializations for the first stage */ + n2 = fftLen; + n1 = n2; + + /* Calculation of first stage */ + for (k = fftLen; k > 4U; k >>= 2U) + { + /* Initializations for the first stage */ + n1 = n2; + n2 >>= 2U; + ia1 = 0U; + + /* Calculation of first stage */ + j = 0; + do + { + /* index calculation for the coefficients */ + ia2 = ia1 + ia1; + ia3 = ia2 + ia1; + co1 = pCoef[ia1 * 2U]; + si1 = pCoef[(ia1 * 2U) + 1U]; + co2 = pCoef[ia2 * 2U]; + si2 = pCoef[(ia2 * 2U) + 1U]; + co3 = pCoef[ia3 * 2U]; + si3 = pCoef[(ia3 * 2U) + 1U]; + + /* Twiddle coefficients index modifier */ + ia1 = ia1 + twidCoefModifier; + + i0 = j; + do + { + /* index calculation for the input as, */ + /* pSrc[i0 + 0], pSrc[i0 + fftLen/4], pSrc[i0 + fftLen/2], pSrc[i0 + 3fftLen/4] */ + i1 = i0 + n2; + i2 = i1 + n2; + i3 = i2 + n2; + + /* xa + xc */ + r1 = pSrc[(2U * i0)] + pSrc[(2U * i2)]; + + /* xa - xc */ + r2 = pSrc[(2U * i0)] - pSrc[(2U * i2)]; + + /* ya + yc */ + s1 = pSrc[(2U * i0) + 1U] + pSrc[(2U * i2) + 1U]; + + /* ya - yc */ + s2 = pSrc[(2U * i0) + 1U] - pSrc[(2U * i2) + 1U]; + + /* xb + xd */ + t1 = pSrc[2U * i1] + pSrc[2U * i3]; + + /* xa' = xa + xb + xc + xd */ + pSrc[2U * i0] = r1 + t1; + + /* xa + xc -(xb + xd) */ + r1 = r1 - t1; + + /* yb + yd */ + t2 = pSrc[(2U * i1) + 1U] + pSrc[(2U * i3) + 1U]; + + /* ya' = ya + yb + yc + yd */ + pSrc[(2U * i0) + 1U] = s1 + t2; + + /* (ya + yc) - (yb + yd) */ + s1 = s1 - t2; + + /* (yb - yd) */ + t1 = pSrc[(2U * i1) + 1U] - pSrc[(2U * i3) + 1U]; + + /* (xb - xd) */ + t2 = pSrc[2U * i1] - pSrc[2U * i3]; + + /* xc' = (xa-xb+xc-xd)co2 - (ya-yb+yc-yd)(si2) */ + pSrc[2U * i1] = (r1 * co2) - (s1 * si2); + + /* yc' = (ya-yb+yc-yd)co2 + (xa-xb+xc-xd)(si2) */ + pSrc[(2U * i1) + 1U] = (s1 * co2) + (r1 * si2); + + /* (xa - xc) - (yb - yd) */ + r1 = r2 - t1; + + /* (xa - xc) + (yb - yd) */ + r2 = r2 + t1; + + /* (ya - yc) + (xb - xd) */ + s1 = s2 + t2; + + /* (ya - yc) - (xb - xd) */ + s2 = s2 - t2; + + /* xb' = (xa+yb-xc-yd)co1 - (ya-xb-yc+xd)(si1) */ + pSrc[2U * i2] = (r1 * co1) - (s1 * si1); + + /* yb' = (ya-xb-yc+xd)co1 + (xa+yb-xc-yd)(si1) */ + pSrc[(2U * i2) + 1U] = (s1 * co1) + (r1 * si1); + + /* xd' = (xa-yb-xc+yd)co3 - (ya+xb-yc-xd)(si3) */ + pSrc[2U * i3] = (r2 * co3) - (s2 * si3); + + /* yd' = (ya+xb-yc-xd)co3 + (xa-yb-xc+yd)(si3) */ + pSrc[(2U * i3) + 1U] = (s2 * co3) + (r2 * si3); + + i0 += n1; + } while ( i0 < fftLen); + j++; + } while (j <= (n2 - 1U)); + twidCoefModifier <<= 2U; + } + /* Initializations of last stage */ + n1 = n2; + n2 >>= 2U; + + /* Calculations of last stage */ + for (i0 = 0U; i0 <= (fftLen - n1); i0 += n1) + { + /* index calculation for the input as, */ + /* pSrc[i0 + 0], pSrc[i0 + fftLen/4], pSrc[i0 + fftLen/2], pSrc[i0 + 3fftLen/4] */ + i1 = i0 + n2; + i2 = i1 + n2; + i3 = i2 + n2; + + /* Butterfly implementation */ + /* xa + xc */ + r1 = pSrc[2U * i0] + pSrc[2U * i2]; + + /* xa - xc */ + r2 = pSrc[2U * i0] - pSrc[2U * i2]; + + /* ya + yc */ + s1 = pSrc[(2U * i0) + 1U] + pSrc[(2U * i2) + 1U]; + + /* ya - yc */ + s2 = pSrc[(2U * i0) + 1U] - pSrc[(2U * i2) + 1U]; + + /* xc + xd */ + t1 = pSrc[2U * i1] + pSrc[2U * i3]; + + /* xa' = xa + xb + xc + xd */ + pSrc[2U * i0] = (r1 + t1) * onebyfftLen; + + /* (xa + xb) - (xc + xd) */ + r1 = r1 - t1; + + /* yb + yd */ + t2 = pSrc[(2U * i1) + 1U] + pSrc[(2U * i3) + 1U]; + + /* ya' = ya + yb + yc + yd */ + pSrc[(2U * i0) + 1U] = (s1 + t2) * onebyfftLen; + + /* (ya + yc) - (yb + yd) */ + s1 = s1 - t2; + + /* (yb-yd) */ + t1 = pSrc[(2U * i1) + 1U] - pSrc[(2U * i3) + 1U]; + + /* (xb-xd) */ + t2 = pSrc[2U * i1] - pSrc[2U * i3]; + + /* xc' = (xa-xb+xc-xd)co2 - (ya-yb+yc-yd)(si2) */ + pSrc[2U * i1] = r1 * onebyfftLen; + + /* yc' = (ya-yb+yc-yd)co2 + (xa-xb+xc-xd)(si2) */ + pSrc[(2U * i1) + 1U] = s1 * onebyfftLen; + + /* (xa - xc) - (yb-yd) */ + r1 = r2 - t1; + + /* (xa - xc) + (yb-yd) */ + r2 = r2 + t1; + + /* (ya - yc) + (xb-xd) */ + s1 = s2 + t2; + + /* (ya - yc) - (xb-xd) */ + s2 = s2 - t2; + + /* xb' = (xa+yb-xc-yd)co1 - (ya-xb-yc+xd)(si1) */ + pSrc[2U * i2] = r1 * onebyfftLen; + + /* yb' = (ya-xb-yc+xd)co1 + (xa+yb-xc-yd)(si1) */ + pSrc[(2U * i2) + 1U] = s1 * onebyfftLen; + + /* xd' = (xa-yb-xc+yd)co3 - (ya+xb-yc-xd)(si3) */ + pSrc[2U * i3] = r2 * onebyfftLen; + + /* yd' = (ya+xb-yc-xd)co3 + (xa-yb-xc+yd)(si3) */ + pSrc[(2U * i3) + 1U] = s2 * onebyfftLen; + } + +#endif /* #if defined (ARM_MATH_DSP) */ +} + + diff --git a/fw/hid-dials/Drivers/CMSIS/DSP/Source/TransformFunctions/arm_cfft_radix4_init_f32.c b/fw/hid-dials/Drivers/CMSIS/DSP/Source/TransformFunctions/arm_cfft_radix4_init_f32.c new file mode 100644 index 0000000..5383771 --- /dev/null +++ b/fw/hid-dials/Drivers/CMSIS/DSP/Source/TransformFunctions/arm_cfft_radix4_init_f32.c @@ -0,0 +1,152 @@ +/* ---------------------------------------------------------------------- + * Project: CMSIS DSP Library + * Title: arm_cfft_radix4_init_f32.c + * Description: Radix-4 Decimation in Frequency Floating-point CFFT & CIFFT Initialization function + * + * $Date: 27. January 2017 + * $Revision: V.1.5.1 + * + * Target Processor: Cortex-M cores + * -------------------------------------------------------------------- */ +/* + * Copyright (C) 2010-2017 ARM Limited or its affiliates. All rights reserved. + * + * SPDX-License-Identifier: Apache-2.0 + * + * Licensed under the Apache License, Version 2.0 (the License); you may + * not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an AS IS BASIS, WITHOUT + * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ + +#include "arm_math.h" +#include "arm_common_tables.h" + +/** + * @ingroup groupTransforms + */ + +/** + * @addtogroup ComplexFFT + * @{ + */ + +/** +* @brief Initialization function for the floating-point CFFT/CIFFT. +* @deprecated Do not use this function. It has been superceded by \ref arm_cfft_f32 and will be removed +* in the future. +* @param[in,out] *S points to an instance of the floating-point CFFT/CIFFT structure. +* @param[in] fftLen length of the FFT. +* @param[in] ifftFlag flag that selects forward (ifftFlag=0) or inverse (ifftFlag=1) transform. +* @param[in] bitReverseFlag flag that enables (bitReverseFlag=1) or disables (bitReverseFlag=0) bit reversal of output. +* @return The function returns ARM_MATH_SUCCESS if initialization is successful or ARM_MATH_ARGUMENT_ERROR if fftLen is not a supported value. +* +* \par Description: +* \par +* The parameter ifftFlag controls whether a forward or inverse transform is computed. +* Set(=1) ifftFlag for calculation of CIFFT otherwise CFFT is calculated +* \par +* The parameter bitReverseFlag controls whether output is in normal order or bit reversed order. +* Set(=1) bitReverseFlag for output to be in normal order otherwise output is in bit reversed order. +* \par +* The parameter fftLen Specifies length of CFFT/CIFFT process. Supported FFT Lengths are 16, 64, 256, 1024. +* \par +* This Function also initializes Twiddle factor table pointer and Bit reversal table pointer. +*/ + +arm_status arm_cfft_radix4_init_f32( + arm_cfft_radix4_instance_f32 * S, + uint16_t fftLen, + uint8_t ifftFlag, + uint8_t bitReverseFlag) +{ + /* Initialise the default arm status */ + arm_status status = ARM_MATH_SUCCESS; + + /* Initialise the FFT length */ + S->fftLen = fftLen; + + /* Initialise the Twiddle coefficient pointer */ + S->pTwiddle = (float32_t *) twiddleCoef; + + /* Initialise the Flag for selection of CFFT or CIFFT */ + S->ifftFlag = ifftFlag; + + /* Initialise the Flag for calculation Bit reversal or not */ + S->bitReverseFlag = bitReverseFlag; + + /* Initializations of structure parameters depending on the FFT length */ + switch (S->fftLen) + { + + case 4096U: + /* Initializations of structure parameters for 4096 point FFT */ + + /* Initialise the twiddle coef modifier value */ + S->twidCoefModifier = 1U; + /* Initialise the bit reversal table modifier */ + S->bitRevFactor = 1U; + /* Initialise the bit reversal table pointer */ + S->pBitRevTable = (uint16_t *) armBitRevTable; + /* Initialise the 1/fftLen Value */ + S->onebyfftLen = 0.000244140625; + break; + + case 1024U: + /* Initializations of structure parameters for 1024 point FFT */ + + /* Initialise the twiddle coef modifier value */ + S->twidCoefModifier = 4U; + /* Initialise the bit reversal table modifier */ + S->bitRevFactor = 4U; + /* Initialise the bit reversal table pointer */ + S->pBitRevTable = (uint16_t *) & armBitRevTable[3]; + /* Initialise the 1/fftLen Value */ + S->onebyfftLen = 0.0009765625f; + break; + + + case 256U: + /* Initializations of structure parameters for 256 point FFT */ + S->twidCoefModifier = 16U; + S->bitRevFactor = 16U; + S->pBitRevTable = (uint16_t *) & armBitRevTable[15]; + S->onebyfftLen = 0.00390625f; + break; + + case 64U: + /* Initializations of structure parameters for 64 point FFT */ + S->twidCoefModifier = 64U; + S->bitRevFactor = 64U; + S->pBitRevTable = (uint16_t *) & armBitRevTable[63]; + S->onebyfftLen = 0.015625f; + break; + + case 16U: + /* Initializations of structure parameters for 16 point FFT */ + S->twidCoefModifier = 256U; + S->bitRevFactor = 256U; + S->pBitRevTable = (uint16_t *) & armBitRevTable[255]; + S->onebyfftLen = 0.0625f; + break; + + + default: + /* Reporting argument error if fftSize is not valid value */ + status = ARM_MATH_ARGUMENT_ERROR; + break; + } + + return (status); +} + +/** + * @} end of ComplexFFT group + */ diff --git a/fw/hid-dials/Drivers/CMSIS/DSP/Source/TransformFunctions/arm_cfft_radix4_init_q15.c b/fw/hid-dials/Drivers/CMSIS/DSP/Source/TransformFunctions/arm_cfft_radix4_init_q15.c new file mode 100644 index 0000000..b2e38b4 --- /dev/null +++ b/fw/hid-dials/Drivers/CMSIS/DSP/Source/TransformFunctions/arm_cfft_radix4_init_q15.c @@ -0,0 +1,140 @@ +/* ---------------------------------------------------------------------- + * Project: CMSIS DSP Library + * Title: arm_cfft_radix4_init_q15.c + * Description: Radix-4 Decimation in Frequency Q15 FFT & IFFT initialization function + * + * $Date: 27. January 2017 + * $Revision: V.1.5.1 + * + * Target Processor: Cortex-M cores + * -------------------------------------------------------------------- */ +/* + * Copyright (C) 2010-2017 ARM Limited or its affiliates. All rights reserved. + * + * SPDX-License-Identifier: Apache-2.0 + * + * Licensed under the Apache License, Version 2.0 (the License); you may + * not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an AS IS BASIS, WITHOUT + * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ + +#include "arm_math.h" +#include "arm_common_tables.h" + +/** + * @ingroup groupTransforms + */ + + +/** + * @addtogroup ComplexFFT + * @{ + */ + + +/** +* @brief Initialization function for the Q15 CFFT/CIFFT. +* @deprecated Do not use this function. It has been superseded by \ref arm_cfft_q15 and will be removed +* @param[in,out] *S points to an instance of the Q15 CFFT/CIFFT structure. +* @param[in] fftLen length of the FFT. +* @param[in] ifftFlag flag that selects forward (ifftFlag=0) or inverse (ifftFlag=1) transform. +* @param[in] bitReverseFlag flag that enables (bitReverseFlag=1) or disables (bitReverseFlag=0) bit reversal of output. +* @return The function returns ARM_MATH_SUCCESS if initialization is successful or ARM_MATH_ARGUMENT_ERROR if fftLen is not a supported value. +* +* \par Description: +* \par +* The parameter ifftFlag controls whether a forward or inverse transform is computed. +* Set(=1) ifftFlag for calculation of CIFFT otherwise CFFT is calculated +* \par +* The parameter bitReverseFlag controls whether output is in normal order or bit reversed order. +* Set(=1) bitReverseFlag for output to be in normal order otherwise output is in bit reversed order. +* \par +* The parameter fftLen Specifies length of CFFT/CIFFT process. Supported FFT Lengths are 16, 64, 256, 1024. +* \par +* This Function also initializes Twiddle factor table pointer and Bit reversal table pointer. +*/ + +arm_status arm_cfft_radix4_init_q15( + arm_cfft_radix4_instance_q15 * S, + uint16_t fftLen, + uint8_t ifftFlag, + uint8_t bitReverseFlag) +{ + /* Initialise the default arm status */ + arm_status status = ARM_MATH_SUCCESS; + /* Initialise the FFT length */ + S->fftLen = fftLen; + /* Initialise the Twiddle coefficient pointer */ + S->pTwiddle = (q15_t *) twiddleCoef_4096_q15; + /* Initialise the Flag for selection of CFFT or CIFFT */ + S->ifftFlag = ifftFlag; + /* Initialise the Flag for calculation Bit reversal or not */ + S->bitReverseFlag = bitReverseFlag; + + /* Initializations of structure parameters depending on the FFT length */ + switch (S->fftLen) + { + case 4096U: + /* Initializations of structure parameters for 4096 point FFT */ + + /* Initialise the twiddle coef modifier value */ + S->twidCoefModifier = 1U; + /* Initialise the bit reversal table modifier */ + S->bitRevFactor = 1U; + /* Initialise the bit reversal table pointer */ + S->pBitRevTable = (uint16_t *) armBitRevTable; + + break; + + case 1024U: + /* Initializations of structure parameters for 1024 point FFT */ + S->twidCoefModifier = 4U; + S->bitRevFactor = 4U; + S->pBitRevTable = (uint16_t *) & armBitRevTable[3]; + + break; + + case 256U: + /* Initializations of structure parameters for 256 point FFT */ + S->twidCoefModifier = 16U; + S->bitRevFactor = 16U; + S->pBitRevTable = (uint16_t *) & armBitRevTable[15]; + + break; + + case 64U: + /* Initializations of structure parameters for 64 point FFT */ + S->twidCoefModifier = 64U; + S->bitRevFactor = 64U; + S->pBitRevTable = (uint16_t *) & armBitRevTable[63]; + + break; + + case 16U: + /* Initializations of structure parameters for 16 point FFT */ + S->twidCoefModifier = 256U; + S->bitRevFactor = 256U; + S->pBitRevTable = (uint16_t *) & armBitRevTable[255]; + + break; + + default: + /* Reporting argument error if fftSize is not valid value */ + status = ARM_MATH_ARGUMENT_ERROR; + break; + } + + return (status); +} + +/** + * @} end of ComplexFFT group + */ diff --git a/fw/hid-dials/Drivers/CMSIS/DSP/Source/TransformFunctions/arm_cfft_radix4_init_q31.c b/fw/hid-dials/Drivers/CMSIS/DSP/Source/TransformFunctions/arm_cfft_radix4_init_q31.c new file mode 100644 index 0000000..9c11754 --- /dev/null +++ b/fw/hid-dials/Drivers/CMSIS/DSP/Source/TransformFunctions/arm_cfft_radix4_init_q31.c @@ -0,0 +1,136 @@ +/* ---------------------------------------------------------------------- + * Project: CMSIS DSP Library + * Title: arm_cfft_radix4_init_q31.c + * Description: Radix-4 Decimation in Frequency Q31 FFT & IFFT initialization function + * + * $Date: 27. January 2017 + * $Revision: V.1.5.1 + * + * Target Processor: Cortex-M cores + * -------------------------------------------------------------------- */ +/* + * Copyright (C) 2010-2017 ARM Limited or its affiliates. All rights reserved. + * + * SPDX-License-Identifier: Apache-2.0 + * + * Licensed under the Apache License, Version 2.0 (the License); you may + * not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an AS IS BASIS, WITHOUT + * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ + +#include "arm_math.h" +#include "arm_common_tables.h" + +/** + * @ingroup groupTransforms + */ + +/** + * @addtogroup ComplexFFT + * @{ + */ + +/** +* +* @brief Initialization function for the Q31 CFFT/CIFFT. +* @deprecated Do not use this function. It has been superseded by \ref arm_cfft_q31 and will be removed +* @param[in,out] *S points to an instance of the Q31 CFFT/CIFFT structure. +* @param[in] fftLen length of the FFT. +* @param[in] ifftFlag flag that selects forward (ifftFlag=0) or inverse (ifftFlag=1) transform. +* @param[in] bitReverseFlag flag that enables (bitReverseFlag=1) or disables (bitReverseFlag=0) bit reversal of output. +* @return The function returns ARM_MATH_SUCCESS if initialization is successful or ARM_MATH_ARGUMENT_ERROR if fftLen is not a supported value. +* +* \par Description: +* \par +* The parameter ifftFlag controls whether a forward or inverse transform is computed. +* Set(=1) ifftFlag for calculation of CIFFT otherwise CFFT is calculated +* \par +* The parameter bitReverseFlag controls whether output is in normal order or bit reversed order. +* Set(=1) bitReverseFlag for output to be in normal order otherwise output is in bit reversed order. +* \par +* The parameter fftLen Specifies length of CFFT/CIFFT process. Supported FFT Lengths are 16, 64, 256, 1024. +* \par +* This Function also initializes Twiddle factor table pointer and Bit reversal table pointer. +*/ + +arm_status arm_cfft_radix4_init_q31( + arm_cfft_radix4_instance_q31 * S, + uint16_t fftLen, + uint8_t ifftFlag, + uint8_t bitReverseFlag) +{ + /* Initialise the default arm status */ + arm_status status = ARM_MATH_SUCCESS; + /* Initialise the FFT length */ + S->fftLen = fftLen; + /* Initialise the Twiddle coefficient pointer */ + S->pTwiddle = (q31_t *) twiddleCoef_4096_q31; + /* Initialise the Flag for selection of CFFT or CIFFT */ + S->ifftFlag = ifftFlag; + /* Initialise the Flag for calculation Bit reversal or not */ + S->bitReverseFlag = bitReverseFlag; + + /* Initializations of Instance structure depending on the FFT length */ + switch (S->fftLen) + { + /* Initializations of structure parameters for 4096 point FFT */ + case 4096U: + /* Initialise the twiddle coef modifier value */ + S->twidCoefModifier = 1U; + /* Initialise the bit reversal table modifier */ + S->bitRevFactor = 1U; + /* Initialise the bit reversal table pointer */ + S->pBitRevTable = (uint16_t *) armBitRevTable; + break; + + /* Initializations of structure parameters for 1024 point FFT */ + case 1024U: + /* Initialise the twiddle coef modifier value */ + S->twidCoefModifier = 4U; + /* Initialise the bit reversal table modifier */ + S->bitRevFactor = 4U; + /* Initialise the bit reversal table pointer */ + S->pBitRevTable = (uint16_t *) & armBitRevTable[3]; + break; + + case 256U: + /* Initializations of structure parameters for 256 point FFT */ + S->twidCoefModifier = 16U; + S->bitRevFactor = 16U; + S->pBitRevTable = (uint16_t *) & armBitRevTable[15]; + break; + + case 64U: + /* Initializations of structure parameters for 64 point FFT */ + S->twidCoefModifier = 64U; + S->bitRevFactor = 64U; + S->pBitRevTable = (uint16_t *) & armBitRevTable[63]; + break; + + case 16U: + /* Initializations of structure parameters for 16 point FFT */ + S->twidCoefModifier = 256U; + S->bitRevFactor = 256U; + S->pBitRevTable = (uint16_t *) & armBitRevTable[255]; + break; + + default: + /* Reporting argument error if fftSize is not valid value */ + status = ARM_MATH_ARGUMENT_ERROR; + break; + } + + return (status); +} + +/** + * @} end of ComplexFFT group + */ diff --git a/fw/hid-dials/Drivers/CMSIS/DSP/Source/TransformFunctions/arm_cfft_radix4_q15.c b/fw/hid-dials/Drivers/CMSIS/DSP/Source/TransformFunctions/arm_cfft_radix4_q15.c new file mode 100644 index 0000000..140fa53 --- /dev/null +++ b/fw/hid-dials/Drivers/CMSIS/DSP/Source/TransformFunctions/arm_cfft_radix4_q15.c @@ -0,0 +1,1910 @@ +/* ---------------------------------------------------------------------- + * Project: CMSIS DSP Library + * Title: arm_cfft_radix4_q15.c + * Description: This file has function definition of Radix-4 FFT & IFFT function and + * In-place bit reversal using bit reversal table + * + * $Date: 27. January 2017 + * $Revision: V.1.5.1 + * + * Target Processor: Cortex-M cores + * -------------------------------------------------------------------- */ +/* + * Copyright (C) 2010-2017 ARM Limited or its affiliates. All rights reserved. + * + * SPDX-License-Identifier: Apache-2.0 + * + * Licensed under the Apache License, Version 2.0 (the License); you may + * not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an AS IS BASIS, WITHOUT + * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ + +#include "arm_math.h" + + +void arm_radix4_butterfly_q15( + q15_t * pSrc16, + uint32_t fftLen, + q15_t * pCoef16, + uint32_t twidCoefModifier); + +void arm_radix4_butterfly_inverse_q15( + q15_t * pSrc16, + uint32_t fftLen, + q15_t * pCoef16, + uint32_t twidCoefModifier); + +void arm_bitreversal_q15( + q15_t * pSrc, + uint32_t fftLen, + uint16_t bitRevFactor, + uint16_t * pBitRevTab); + +/** + * @ingroup groupTransforms + */ + +/** + * @addtogroup ComplexFFT + * @{ + */ + + +/** + * @details + * @brief Processing function for the Q15 CFFT/CIFFT. + * @deprecated Do not use this function. It has been superseded by \ref arm_cfft_q15 and will be removed + * @param[in] *S points to an instance of the Q15 CFFT/CIFFT structure. + * @param[in, out] *pSrc points to the complex data buffer. Processing occurs in-place. + * @return none. + * + * \par Input and output formats: + * \par + * Internally input is downscaled by 2 for every stage to avoid saturations inside CFFT/CIFFT process. + * Hence the output format is different for different FFT sizes. + * The input and output formats for different FFT sizes and number of bits to upscale are mentioned in the tables below for CFFT and CIFFT: + * \par + * \image html CFFTQ15.gif "Input and Output Formats for Q15 CFFT" + * \image html CIFFTQ15.gif "Input and Output Formats for Q15 CIFFT" + */ + +void arm_cfft_radix4_q15( + const arm_cfft_radix4_instance_q15 * S, + q15_t * pSrc) +{ + if (S->ifftFlag == 1U) + { + /* Complex IFFT radix-4 */ + arm_radix4_butterfly_inverse_q15(pSrc, S->fftLen, S->pTwiddle, S->twidCoefModifier); + } + else + { + /* Complex FFT radix-4 */ + arm_radix4_butterfly_q15(pSrc, S->fftLen, S->pTwiddle, S->twidCoefModifier); + } + + if (S->bitReverseFlag == 1U) + { + /* Bit Reversal */ + arm_bitreversal_q15(pSrc, S->fftLen, S->bitRevFactor, S->pBitRevTable); + } + +} + +/** + * @} end of ComplexFFT group + */ + +/* +* Radix-4 FFT algorithm used is : +* +* Input real and imaginary data: +* x(n) = xa + j * ya +* x(n+N/4 ) = xb + j * yb +* x(n+N/2 ) = xc + j * yc +* x(n+3N 4) = xd + j * yd +* +* +* Output real and imaginary data: +* x(4r) = xa'+ j * ya' +* x(4r+1) = xb'+ j * yb' +* x(4r+2) = xc'+ j * yc' +* x(4r+3) = xd'+ j * yd' +* +* +* Twiddle factors for radix-4 FFT: +* Wn = co1 + j * (- si1) +* W2n = co2 + j * (- si2) +* W3n = co3 + j * (- si3) + +* The real and imaginary output values for the radix-4 butterfly are +* xa' = xa + xb + xc + xd +* ya' = ya + yb + yc + yd +* xb' = (xa+yb-xc-yd)* co1 + (ya-xb-yc+xd)* (si1) +* yb' = (ya-xb-yc+xd)* co1 - (xa+yb-xc-yd)* (si1) +* xc' = (xa-xb+xc-xd)* co2 + (ya-yb+yc-yd)* (si2) +* yc' = (ya-yb+yc-yd)* co2 - (xa-xb+xc-xd)* (si2) +* xd' = (xa-yb-xc+yd)* co3 + (ya+xb-yc-xd)* (si3) +* yd' = (ya+xb-yc-xd)* co3 - (xa-yb-xc+yd)* (si3) +* +*/ + +/** + * @brief Core function for the Q15 CFFT butterfly process. + * @param[in, out] *pSrc16 points to the in-place buffer of Q15 data type. + * @param[in] fftLen length of the FFT. + * @param[in] *pCoef16 points to twiddle coefficient buffer. + * @param[in] twidCoefModifier twiddle coefficient modifier that supports different size FFTs with the same twiddle factor table. + * @return none. + */ + +void arm_radix4_butterfly_q15( + q15_t * pSrc16, + uint32_t fftLen, + q15_t * pCoef16, + uint32_t twidCoefModifier) +{ + +#if defined (ARM_MATH_DSP) + + /* Run the below code for Cortex-M4 and Cortex-M3 */ + + q31_t R, S, T, U; + q31_t C1, C2, C3, out1, out2; + uint32_t n1, n2, ic, i0, j, k; + + q15_t *ptr1; + q15_t *pSi0; + q15_t *pSi1; + q15_t *pSi2; + q15_t *pSi3; + + q31_t xaya, xbyb, xcyc, xdyd; + + /* Total process is divided into three stages */ + + /* process first stage, middle stages, & last stage */ + + /* Initializations for the first stage */ + n2 = fftLen; + n1 = n2; + + /* n2 = fftLen/4 */ + n2 >>= 2U; + + /* Index for twiddle coefficient */ + ic = 0U; + + /* Index for input read and output write */ + j = n2; + + pSi0 = pSrc16; + pSi1 = pSi0 + 2 * n2; + pSi2 = pSi1 + 2 * n2; + pSi3 = pSi2 + 2 * n2; + + /* Input is in 1.15(q15) format */ + + /* start of first stage process */ + do + { + /* Butterfly implementation */ + + /* Reading i0, i0+fftLen/2 inputs */ + /* Read ya (real), xa(imag) input */ + T = _SIMD32_OFFSET(pSi0); + T = __SHADD16(T, 0); // this is just a SIMD arithmetic shift right by 1 + T = __SHADD16(T, 0); // it turns out doing this twice is 2 cycles, the alternative takes 3 cycles + //in = ((int16_t) (T & 0xFFFF)) >> 2; // alternative code that takes 3 cycles + //T = ((T >> 2) & 0xFFFF0000) | (in & 0xFFFF); + + /* Read yc (real), xc(imag) input */ + S = _SIMD32_OFFSET(pSi2); + S = __SHADD16(S, 0); + S = __SHADD16(S, 0); + + /* R = packed((ya + yc), (xa + xc) ) */ + R = __QADD16(T, S); + + /* S = packed((ya - yc), (xa - xc) ) */ + S = __QSUB16(T, S); + + /* Reading i0+fftLen/4 , i0+3fftLen/4 inputs */ + /* Read yb (real), xb(imag) input */ + T = _SIMD32_OFFSET(pSi1); + T = __SHADD16(T, 0); + T = __SHADD16(T, 0); + + /* Read yd (real), xd(imag) input */ + U = _SIMD32_OFFSET(pSi3); + U = __SHADD16(U, 0); + U = __SHADD16(U, 0); + + /* T = packed((yb + yd), (xb + xd) ) */ + T = __QADD16(T, U); + + /* writing the butterfly processed i0 sample */ + /* xa' = xa + xb + xc + xd */ + /* ya' = ya + yb + yc + yd */ + _SIMD32_OFFSET(pSi0) = __SHADD16(R, T); + pSi0 += 2; + + /* R = packed((ya + yc) - (yb + yd), (xa + xc)- (xb + xd)) */ + R = __QSUB16(R, T); + + /* co2 & si2 are read from SIMD Coefficient pointer */ + C2 = _SIMD32_OFFSET(pCoef16 + (4U * ic)); + +#ifndef ARM_MATH_BIG_ENDIAN + + /* xc' = (xa-xb+xc-xd)* co2 + (ya-yb+yc-yd)* (si2) */ + out1 = __SMUAD(C2, R) >> 16U; + /* yc' = (ya-yb+yc-yd)* co2 - (xa-xb+xc-xd)* (si2) */ + out2 = __SMUSDX(C2, R); + +#else + + /* xc' = (ya-yb+yc-yd)* co2 - (xa-xb+xc-xd)* (si2) */ + out1 = __SMUSDX(R, C2) >> 16U; + /* yc' = (xa-xb+xc-xd)* co2 + (ya-yb+yc-yd)* (si2) */ + out2 = __SMUAD(C2, R); + +#endif /* #ifndef ARM_MATH_BIG_ENDIAN */ + + /* Reading i0+fftLen/4 */ + /* T = packed(yb, xb) */ + T = _SIMD32_OFFSET(pSi1); + T = __SHADD16(T, 0); + T = __SHADD16(T, 0); + + /* writing the butterfly processed i0 + fftLen/4 sample */ + /* writing output(xc', yc') in little endian format */ + _SIMD32_OFFSET(pSi1) = + (q31_t) ((out2) & 0xFFFF0000) | (out1 & 0x0000FFFF); + pSi1 += 2; + + /* Butterfly calculations */ + /* U = packed(yd, xd) */ + U = _SIMD32_OFFSET(pSi3); + U = __SHADD16(U, 0); + U = __SHADD16(U, 0); + + /* T = packed(yb-yd, xb-xd) */ + T = __QSUB16(T, U); + +#ifndef ARM_MATH_BIG_ENDIAN + + /* R = packed((ya-yc) + (xb- xd) , (xa-xc) - (yb-yd)) */ + R = __QASX(S, T); + /* S = packed((ya-yc) - (xb- xd), (xa-xc) + (yb-yd)) */ + S = __QSAX(S, T); + +#else + + /* R = packed((ya-yc) + (xb- xd) , (xa-xc) - (yb-yd)) */ + R = __QSAX(S, T); + /* S = packed((ya-yc) - (xb- xd), (xa-xc) + (yb-yd)) */ + S = __QASX(S, T); + +#endif /* #ifndef ARM_MATH_BIG_ENDIAN */ + + /* co1 & si1 are read from SIMD Coefficient pointer */ + C1 = _SIMD32_OFFSET(pCoef16 + (2U * ic)); + /* Butterfly process for the i0+fftLen/2 sample */ + +#ifndef ARM_MATH_BIG_ENDIAN + + /* xb' = (xa+yb-xc-yd)* co1 + (ya-xb-yc+xd)* (si1) */ + out1 = __SMUAD(C1, S) >> 16U; + /* yb' = (ya-xb-yc+xd)* co1 - (xa+yb-xc-yd)* (si1) */ + out2 = __SMUSDX(C1, S); + +#else + + /* xb' = (ya-xb-yc+xd)* co1 - (xa+yb-xc-yd)* (si1) */ + out1 = __SMUSDX(S, C1) >> 16U; + /* yb' = (xa+yb-xc-yd)* co1 + (ya-xb-yc+xd)* (si1) */ + out2 = __SMUAD(C1, S); + +#endif /* #ifndef ARM_MATH_BIG_ENDIAN */ + + /* writing output(xb', yb') in little endian format */ + _SIMD32_OFFSET(pSi2) = + ((out2) & 0xFFFF0000) | ((out1) & 0x0000FFFF); + pSi2 += 2; + + + /* co3 & si3 are read from SIMD Coefficient pointer */ + C3 = _SIMD32_OFFSET(pCoef16 + (6U * ic)); + /* Butterfly process for the i0+3fftLen/4 sample */ + +#ifndef ARM_MATH_BIG_ENDIAN + + /* xd' = (xa-yb-xc+yd)* co3 + (ya+xb-yc-xd)* (si3) */ + out1 = __SMUAD(C3, R) >> 16U; + /* yd' = (ya+xb-yc-xd)* co3 - (xa-yb-xc+yd)* (si3) */ + out2 = __SMUSDX(C3, R); + +#else + + /* xd' = (ya+xb-yc-xd)* co3 - (xa-yb-xc+yd)* (si3) */ + out1 = __SMUSDX(R, C3) >> 16U; + /* yd' = (xa-yb-xc+yd)* co3 + (ya+xb-yc-xd)* (si3) */ + out2 = __SMUAD(C3, R); + +#endif /* #ifndef ARM_MATH_BIG_ENDIAN */ + + /* writing output(xd', yd') in little endian format */ + _SIMD32_OFFSET(pSi3) = + ((out2) & 0xFFFF0000) | (out1 & 0x0000FFFF); + pSi3 += 2; + + /* Twiddle coefficients index modifier */ + ic = ic + twidCoefModifier; + + } while (--j); + /* data is in 4.11(q11) format */ + + /* end of first stage process */ + + + /* start of middle stage process */ + + /* Twiddle coefficients index modifier */ + twidCoefModifier <<= 2U; + + /* Calculation of Middle stage */ + for (k = fftLen / 4U; k > 4U; k >>= 2U) + { + /* Initializations for the middle stage */ + n1 = n2; + n2 >>= 2U; + ic = 0U; + + for (j = 0U; j <= (n2 - 1U); j++) + { + /* index calculation for the coefficients */ + C1 = _SIMD32_OFFSET(pCoef16 + (2U * ic)); + C2 = _SIMD32_OFFSET(pCoef16 + (4U * ic)); + C3 = _SIMD32_OFFSET(pCoef16 + (6U * ic)); + + /* Twiddle coefficients index modifier */ + ic = ic + twidCoefModifier; + + pSi0 = pSrc16 + 2 * j; + pSi1 = pSi0 + 2 * n2; + pSi2 = pSi1 + 2 * n2; + pSi3 = pSi2 + 2 * n2; + + /* Butterfly implementation */ + for (i0 = j; i0 < fftLen; i0 += n1) + { + /* Reading i0, i0+fftLen/2 inputs */ + /* Read ya (real), xa(imag) input */ + T = _SIMD32_OFFSET(pSi0); + + /* Read yc (real), xc(imag) input */ + S = _SIMD32_OFFSET(pSi2); + + /* R = packed( (ya + yc), (xa + xc)) */ + R = __QADD16(T, S); + + /* S = packed((ya - yc), (xa - xc)) */ + S = __QSUB16(T, S); + + /* Reading i0+fftLen/4 , i0+3fftLen/4 inputs */ + /* Read yb (real), xb(imag) input */ + T = _SIMD32_OFFSET(pSi1); + + /* Read yd (real), xd(imag) input */ + U = _SIMD32_OFFSET(pSi3); + + /* T = packed( (yb + yd), (xb + xd)) */ + T = __QADD16(T, U); + + /* writing the butterfly processed i0 sample */ + + /* xa' = xa + xb + xc + xd */ + /* ya' = ya + yb + yc + yd */ + out1 = __SHADD16(R, T); + out1 = __SHADD16(out1, 0); + _SIMD32_OFFSET(pSi0) = out1; + pSi0 += 2 * n1; + + /* R = packed( (ya + yc) - (yb + yd), (xa + xc) - (xb + xd)) */ + R = __SHSUB16(R, T); + +#ifndef ARM_MATH_BIG_ENDIAN + + /* (ya-yb+yc-yd)* (si2) + (xa-xb+xc-xd)* co2 */ + out1 = __SMUAD(C2, R) >> 16U; + + /* (ya-yb+yc-yd)* co2 - (xa-xb+xc-xd)* (si2) */ + out2 = __SMUSDX(C2, R); + +#else + + /* (ya-yb+yc-yd)* co2 - (xa-xb+xc-xd)* (si2) */ + out1 = __SMUSDX(R, C2) >> 16U; + + /* (ya-yb+yc-yd)* (si2) + (xa-xb+xc-xd)* co2 */ + out2 = __SMUAD(C2, R); + +#endif /* #ifndef ARM_MATH_BIG_ENDIAN */ + + /* Reading i0+3fftLen/4 */ + /* Read yb (real), xb(imag) input */ + T = _SIMD32_OFFSET(pSi1); + + /* writing the butterfly processed i0 + fftLen/4 sample */ + /* xc' = (xa-xb+xc-xd)* co2 + (ya-yb+yc-yd)* (si2) */ + /* yc' = (ya-yb+yc-yd)* co2 - (xa-xb+xc-xd)* (si2) */ + _SIMD32_OFFSET(pSi1) = + ((out2) & 0xFFFF0000) | (out1 & 0x0000FFFF); + pSi1 += 2 * n1; + + /* Butterfly calculations */ + + /* Read yd (real), xd(imag) input */ + U = _SIMD32_OFFSET(pSi3); + + /* T = packed(yb-yd, xb-xd) */ + T = __QSUB16(T, U); + +#ifndef ARM_MATH_BIG_ENDIAN + + /* R = packed((ya-yc) + (xb- xd) , (xa-xc) - (yb-yd)) */ + R = __SHASX(S, T); + + /* S = packed((ya-yc) - (xb- xd), (xa-xc) + (yb-yd)) */ + S = __SHSAX(S, T); + + + /* Butterfly process for the i0+fftLen/2 sample */ + out1 = __SMUAD(C1, S) >> 16U; + out2 = __SMUSDX(C1, S); + +#else + + /* R = packed((ya-yc) + (xb- xd) , (xa-xc) - (yb-yd)) */ + R = __SHSAX(S, T); + + /* S = packed((ya-yc) - (xb- xd), (xa-xc) + (yb-yd)) */ + S = __SHASX(S, T); + + + /* Butterfly process for the i0+fftLen/2 sample */ + out1 = __SMUSDX(S, C1) >> 16U; + out2 = __SMUAD(C1, S); + +#endif /* #ifndef ARM_MATH_BIG_ENDIAN */ + + /* xb' = (xa+yb-xc-yd)* co1 + (ya-xb-yc+xd)* (si1) */ + /* yb' = (ya-xb-yc+xd)* co1 - (xa+yb-xc-yd)* (si1) */ + _SIMD32_OFFSET(pSi2) = + ((out2) & 0xFFFF0000) | (out1 & 0x0000FFFF); + pSi2 += 2 * n1; + + /* Butterfly process for the i0+3fftLen/4 sample */ + +#ifndef ARM_MATH_BIG_ENDIAN + + out1 = __SMUAD(C3, R) >> 16U; + out2 = __SMUSDX(C3, R); + +#else + + out1 = __SMUSDX(R, C3) >> 16U; + out2 = __SMUAD(C3, R); + +#endif /* #ifndef ARM_MATH_BIG_ENDIAN */ + + /* xd' = (xa-yb-xc+yd)* co3 + (ya+xb-yc-xd)* (si3) */ + /* yd' = (ya+xb-yc-xd)* co3 - (xa-yb-xc+yd)* (si3) */ + _SIMD32_OFFSET(pSi3) = + ((out2) & 0xFFFF0000) | (out1 & 0x0000FFFF); + pSi3 += 2 * n1; + } + } + /* Twiddle coefficients index modifier */ + twidCoefModifier <<= 2U; + } + /* end of middle stage process */ + + + /* data is in 10.6(q6) format for the 1024 point */ + /* data is in 8.8(q8) format for the 256 point */ + /* data is in 6.10(q10) format for the 64 point */ + /* data is in 4.12(q12) format for the 16 point */ + + /* Initializations for the last stage */ + j = fftLen >> 2; + + ptr1 = &pSrc16[0]; + + /* start of last stage process */ + + /* Butterfly implementation */ + do + { + /* Read xa (real), ya(imag) input */ + xaya = *__SIMD32(ptr1)++; + + /* Read xb (real), yb(imag) input */ + xbyb = *__SIMD32(ptr1)++; + + /* Read xc (real), yc(imag) input */ + xcyc = *__SIMD32(ptr1)++; + + /* Read xd (real), yd(imag) input */ + xdyd = *__SIMD32(ptr1)++; + + /* R = packed((ya + yc), (xa + xc)) */ + R = __QADD16(xaya, xcyc); + + /* T = packed((yb + yd), (xb + xd)) */ + T = __QADD16(xbyb, xdyd); + + /* pointer updation for writing */ + ptr1 = ptr1 - 8U; + + + /* xa' = xa + xb + xc + xd */ + /* ya' = ya + yb + yc + yd */ + *__SIMD32(ptr1)++ = __SHADD16(R, T); + + /* T = packed((yb + yd), (xb + xd)) */ + T = __QADD16(xbyb, xdyd); + + /* xc' = (xa-xb+xc-xd) */ + /* yc' = (ya-yb+yc-yd) */ + *__SIMD32(ptr1)++ = __SHSUB16(R, T); + + /* S = packed((ya - yc), (xa - xc)) */ + S = __QSUB16(xaya, xcyc); + + /* Read yd (real), xd(imag) input */ + /* T = packed( (yb - yd), (xb - xd)) */ + U = __QSUB16(xbyb, xdyd); + +#ifndef ARM_MATH_BIG_ENDIAN + + /* xb' = (xa+yb-xc-yd) */ + /* yb' = (ya-xb-yc+xd) */ + *__SIMD32(ptr1)++ = __SHSAX(S, U); + + + /* xd' = (xa-yb-xc+yd) */ + /* yd' = (ya+xb-yc-xd) */ + *__SIMD32(ptr1)++ = __SHASX(S, U); + +#else + + /* xb' = (xa+yb-xc-yd) */ + /* yb' = (ya-xb-yc+xd) */ + *__SIMD32(ptr1)++ = __SHASX(S, U); + + + /* xd' = (xa-yb-xc+yd) */ + /* yd' = (ya+xb-yc-xd) */ + *__SIMD32(ptr1)++ = __SHSAX(S, U); + +#endif /* #ifndef ARM_MATH_BIG_ENDIAN */ + + } while (--j); + + /* end of last stage process */ + + /* output is in 11.5(q5) format for the 1024 point */ + /* output is in 9.7(q7) format for the 256 point */ + /* output is in 7.9(q9) format for the 64 point */ + /* output is in 5.11(q11) format for the 16 point */ + + +#else + + /* Run the below code for Cortex-M0 */ + + q15_t R0, R1, S0, S1, T0, T1, U0, U1; + q15_t Co1, Si1, Co2, Si2, Co3, Si3, out1, out2; + uint32_t n1, n2, ic, i0, i1, i2, i3, j, k; + + /* Total process is divided into three stages */ + + /* process first stage, middle stages, & last stage */ + + /* Initializations for the first stage */ + n2 = fftLen; + n1 = n2; + + /* n2 = fftLen/4 */ + n2 >>= 2U; + + /* Index for twiddle coefficient */ + ic = 0U; + + /* Index for input read and output write */ + i0 = 0U; + j = n2; + + /* Input is in 1.15(q15) format */ + + /* start of first stage process */ + do + { + /* Butterfly implementation */ + + /* index calculation for the input as, */ + /* pSrc16[i0 + 0], pSrc16[i0 + fftLen/4], pSrc16[i0 + fftLen/2], pSrc16[i0 + 3fftLen/4] */ + i1 = i0 + n2; + i2 = i1 + n2; + i3 = i2 + n2; + + /* Reading i0, i0+fftLen/2 inputs */ + + /* input is down scale by 4 to avoid overflow */ + /* Read ya (real), xa(imag) input */ + T0 = pSrc16[i0 * 2U] >> 2U; + T1 = pSrc16[(i0 * 2U) + 1U] >> 2U; + + /* input is down scale by 4 to avoid overflow */ + /* Read yc (real), xc(imag) input */ + S0 = pSrc16[i2 * 2U] >> 2U; + S1 = pSrc16[(i2 * 2U) + 1U] >> 2U; + + /* R0 = (ya + yc) */ + R0 = __SSAT(T0 + S0, 16U); + /* R1 = (xa + xc) */ + R1 = __SSAT(T1 + S1, 16U); + + /* S0 = (ya - yc) */ + S0 = __SSAT(T0 - S0, 16); + /* S1 = (xa - xc) */ + S1 = __SSAT(T1 - S1, 16); + + /* Reading i0+fftLen/4 , i0+3fftLen/4 inputs */ + /* input is down scale by 4 to avoid overflow */ + /* Read yb (real), xb(imag) input */ + T0 = pSrc16[i1 * 2U] >> 2U; + T1 = pSrc16[(i1 * 2U) + 1U] >> 2U; + + /* input is down scale by 4 to avoid overflow */ + /* Read yd (real), xd(imag) input */ + U0 = pSrc16[i3 * 2U] >> 2U; + U1 = pSrc16[(i3 * 2U) + 1] >> 2U; + + /* T0 = (yb + yd) */ + T0 = __SSAT(T0 + U0, 16U); + /* T1 = (xb + xd) */ + T1 = __SSAT(T1 + U1, 16U); + + /* writing the butterfly processed i0 sample */ + /* ya' = ya + yb + yc + yd */ + /* xa' = xa + xb + xc + xd */ + pSrc16[i0 * 2U] = (R0 >> 1U) + (T0 >> 1U); + pSrc16[(i0 * 2U) + 1U] = (R1 >> 1U) + (T1 >> 1U); + + /* R0 = (ya + yc) - (yb + yd) */ + /* R1 = (xa + xc) - (xb + xd) */ + R0 = __SSAT(R0 - T0, 16U); + R1 = __SSAT(R1 - T1, 16U); + + /* co2 & si2 are read from Coefficient pointer */ + Co2 = pCoef16[2U * ic * 2U]; + Si2 = pCoef16[(2U * ic * 2U) + 1]; + + /* xc' = (xa-xb+xc-xd)* co2 + (ya-yb+yc-yd)* (si2) */ + out1 = (q15_t) ((Co2 * R0 + Si2 * R1) >> 16U); + /* yc' = (ya-yb+yc-yd)* co2 - (xa-xb+xc-xd)* (si2) */ + out2 = (q15_t) ((-Si2 * R0 + Co2 * R1) >> 16U); + + /* Reading i0+fftLen/4 */ + /* input is down scale by 4 to avoid overflow */ + /* T0 = yb, T1 = xb */ + T0 = pSrc16[i1 * 2U] >> 2; + T1 = pSrc16[(i1 * 2U) + 1] >> 2; + + /* writing the butterfly processed i0 + fftLen/4 sample */ + /* writing output(xc', yc') in little endian format */ + pSrc16[i1 * 2U] = out1; + pSrc16[(i1 * 2U) + 1] = out2; + + /* Butterfly calculations */ + /* input is down scale by 4 to avoid overflow */ + /* U0 = yd, U1 = xd */ + U0 = pSrc16[i3 * 2U] >> 2; + U1 = pSrc16[(i3 * 2U) + 1] >> 2; + /* T0 = yb-yd */ + T0 = __SSAT(T0 - U0, 16); + /* T1 = xb-xd */ + T1 = __SSAT(T1 - U1, 16); + + /* R1 = (ya-yc) + (xb- xd), R0 = (xa-xc) - (yb-yd)) */ + R0 = (q15_t) __SSAT((q31_t) (S0 - T1), 16); + R1 = (q15_t) __SSAT((q31_t) (S1 + T0), 16); + + /* S1 = (ya-yc) - (xb- xd), S0 = (xa-xc) + (yb-yd)) */ + S0 = (q15_t) __SSAT(((q31_t) S0 + T1), 16U); + S1 = (q15_t) __SSAT(((q31_t) S1 - T0), 16U); + + /* co1 & si1 are read from Coefficient pointer */ + Co1 = pCoef16[ic * 2U]; + Si1 = pCoef16[(ic * 2U) + 1]; + /* Butterfly process for the i0+fftLen/2 sample */ + /* xb' = (xa+yb-xc-yd)* co1 + (ya-xb-yc+xd)* (si1) */ + out1 = (q15_t) ((Si1 * S1 + Co1 * S0) >> 16); + /* yb' = (ya-xb-yc+xd)* co1 - (xa+yb-xc-yd)* (si1) */ + out2 = (q15_t) ((-Si1 * S0 + Co1 * S1) >> 16); + + /* writing output(xb', yb') in little endian format */ + pSrc16[i2 * 2U] = out1; + pSrc16[(i2 * 2U) + 1] = out2; + + /* Co3 & si3 are read from Coefficient pointer */ + Co3 = pCoef16[3U * (ic * 2U)]; + Si3 = pCoef16[(3U * (ic * 2U)) + 1]; + /* Butterfly process for the i0+3fftLen/4 sample */ + /* xd' = (xa-yb-xc+yd)* Co3 + (ya+xb-yc-xd)* (si3) */ + out1 = (q15_t) ((Si3 * R1 + Co3 * R0) >> 16U); + /* yd' = (ya+xb-yc-xd)* Co3 - (xa-yb-xc+yd)* (si3) */ + out2 = (q15_t) ((-Si3 * R0 + Co3 * R1) >> 16U); + /* writing output(xd', yd') in little endian format */ + pSrc16[i3 * 2U] = out1; + pSrc16[(i3 * 2U) + 1] = out2; + + /* Twiddle coefficients index modifier */ + ic = ic + twidCoefModifier; + + /* Updating input index */ + i0 = i0 + 1U; + + } while (--j); + /* data is in 4.11(q11) format */ + + /* end of first stage process */ + + + /* start of middle stage process */ + + /* Twiddle coefficients index modifier */ + twidCoefModifier <<= 2U; + + /* Calculation of Middle stage */ + for (k = fftLen / 4U; k > 4U; k >>= 2U) + { + /* Initializations for the middle stage */ + n1 = n2; + n2 >>= 2U; + ic = 0U; + + for (j = 0U; j <= (n2 - 1U); j++) + { + /* index calculation for the coefficients */ + Co1 = pCoef16[ic * 2U]; + Si1 = pCoef16[(ic * 2U) + 1U]; + Co2 = pCoef16[2U * (ic * 2U)]; + Si2 = pCoef16[(2U * (ic * 2U)) + 1U]; + Co3 = pCoef16[3U * (ic * 2U)]; + Si3 = pCoef16[(3U * (ic * 2U)) + 1U]; + + /* Twiddle coefficients index modifier */ + ic = ic + twidCoefModifier; + + /* Butterfly implementation */ + for (i0 = j; i0 < fftLen; i0 += n1) + { + /* index calculation for the input as, */ + /* pSrc16[i0 + 0], pSrc16[i0 + fftLen/4], pSrc16[i0 + fftLen/2], pSrc16[i0 + 3fftLen/4] */ + i1 = i0 + n2; + i2 = i1 + n2; + i3 = i2 + n2; + + /* Reading i0, i0+fftLen/2 inputs */ + /* Read ya (real), xa(imag) input */ + T0 = pSrc16[i0 * 2U]; + T1 = pSrc16[(i0 * 2U) + 1U]; + + /* Read yc (real), xc(imag) input */ + S0 = pSrc16[i2 * 2U]; + S1 = pSrc16[(i2 * 2U) + 1U]; + + /* R0 = (ya + yc), R1 = (xa + xc) */ + R0 = __SSAT(T0 + S0, 16); + R1 = __SSAT(T1 + S1, 16); + + /* S0 = (ya - yc), S1 =(xa - xc) */ + S0 = __SSAT(T0 - S0, 16); + S1 = __SSAT(T1 - S1, 16); + + /* Reading i0+fftLen/4 , i0+3fftLen/4 inputs */ + /* Read yb (real), xb(imag) input */ + T0 = pSrc16[i1 * 2U]; + T1 = pSrc16[(i1 * 2U) + 1U]; + + /* Read yd (real), xd(imag) input */ + U0 = pSrc16[i3 * 2U]; + U1 = pSrc16[(i3 * 2U) + 1U]; + + + /* T0 = (yb + yd), T1 = (xb + xd) */ + T0 = __SSAT(T0 + U0, 16); + T1 = __SSAT(T1 + U1, 16); + + /* writing the butterfly processed i0 sample */ + + /* xa' = xa + xb + xc + xd */ + /* ya' = ya + yb + yc + yd */ + out1 = ((R0 >> 1U) + (T0 >> 1U)) >> 1U; + out2 = ((R1 >> 1U) + (T1 >> 1U)) >> 1U; + + pSrc16[i0 * 2U] = out1; + pSrc16[(2U * i0) + 1U] = out2; + + /* R0 = (ya + yc) - (yb + yd), R1 = (xa + xc) - (xb + xd) */ + R0 = (R0 >> 1U) - (T0 >> 1U); + R1 = (R1 >> 1U) - (T1 >> 1U); + + /* (ya-yb+yc-yd)* (si2) + (xa-xb+xc-xd)* co2 */ + out1 = (q15_t) ((Co2 * R0 + Si2 * R1) >> 16U); + + /* (ya-yb+yc-yd)* co2 - (xa-xb+xc-xd)* (si2) */ + out2 = (q15_t) ((-Si2 * R0 + Co2 * R1) >> 16U); + + /* Reading i0+3fftLen/4 */ + /* Read yb (real), xb(imag) input */ + T0 = pSrc16[i1 * 2U]; + T1 = pSrc16[(i1 * 2U) + 1U]; + + /* writing the butterfly processed i0 + fftLen/4 sample */ + /* xc' = (xa-xb+xc-xd)* co2 + (ya-yb+yc-yd)* (si2) */ + /* yc' = (ya-yb+yc-yd)* co2 - (xa-xb+xc-xd)* (si2) */ + pSrc16[i1 * 2U] = out1; + pSrc16[(i1 * 2U) + 1U] = out2; + + /* Butterfly calculations */ + + /* Read yd (real), xd(imag) input */ + U0 = pSrc16[i3 * 2U]; + U1 = pSrc16[(i3 * 2U) + 1U]; + + /* T0 = yb-yd, T1 = xb-xd */ + T0 = __SSAT(T0 - U0, 16); + T1 = __SSAT(T1 - U1, 16); + + /* R0 = (ya-yc) + (xb- xd), R1 = (xa-xc) - (yb-yd)) */ + R0 = (S0 >> 1U) - (T1 >> 1U); + R1 = (S1 >> 1U) + (T0 >> 1U); + + /* S0 = (ya-yc) - (xb- xd), S1 = (xa-xc) + (yb-yd)) */ + S0 = (S0 >> 1U) + (T1 >> 1U); + S1 = (S1 >> 1U) - (T0 >> 1U); + + /* Butterfly process for the i0+fftLen/2 sample */ + out1 = (q15_t) ((Co1 * S0 + Si1 * S1) >> 16U); + + out2 = (q15_t) ((-Si1 * S0 + Co1 * S1) >> 16U); + + /* xb' = (xa+yb-xc-yd)* co1 + (ya-xb-yc+xd)* (si1) */ + /* yb' = (ya-xb-yc+xd)* co1 - (xa+yb-xc-yd)* (si1) */ + pSrc16[i2 * 2U] = out1; + pSrc16[(i2 * 2U) + 1U] = out2; + + /* Butterfly process for the i0+3fftLen/4 sample */ + out1 = (q15_t) ((Si3 * R1 + Co3 * R0) >> 16U); + + out2 = (q15_t) ((-Si3 * R0 + Co3 * R1) >> 16U); + /* xd' = (xa-yb-xc+yd)* Co3 + (ya+xb-yc-xd)* (si3) */ + /* yd' = (ya+xb-yc-xd)* Co3 - (xa-yb-xc+yd)* (si3) */ + pSrc16[i3 * 2U] = out1; + pSrc16[(i3 * 2U) + 1U] = out2; + } + } + /* Twiddle coefficients index modifier */ + twidCoefModifier <<= 2U; + } + /* end of middle stage process */ + + + /* data is in 10.6(q6) format for the 1024 point */ + /* data is in 8.8(q8) format for the 256 point */ + /* data is in 6.10(q10) format for the 64 point */ + /* data is in 4.12(q12) format for the 16 point */ + + /* Initializations for the last stage */ + n1 = n2; + n2 >>= 2U; + + /* start of last stage process */ + + /* Butterfly implementation */ + for (i0 = 0U; i0 <= (fftLen - n1); i0 += n1) + { + /* index calculation for the input as, */ + /* pSrc16[i0 + 0], pSrc16[i0 + fftLen/4], pSrc16[i0 + fftLen/2], pSrc16[i0 + 3fftLen/4] */ + i1 = i0 + n2; + i2 = i1 + n2; + i3 = i2 + n2; + + /* Reading i0, i0+fftLen/2 inputs */ + /* Read ya (real), xa(imag) input */ + T0 = pSrc16[i0 * 2U]; + T1 = pSrc16[(i0 * 2U) + 1U]; + + /* Read yc (real), xc(imag) input */ + S0 = pSrc16[i2 * 2U]; + S1 = pSrc16[(i2 * 2U) + 1U]; + + /* R0 = (ya + yc), R1 = (xa + xc) */ + R0 = __SSAT(T0 + S0, 16U); + R1 = __SSAT(T1 + S1, 16U); + + /* S0 = (ya - yc), S1 = (xa - xc) */ + S0 = __SSAT(T0 - S0, 16U); + S1 = __SSAT(T1 - S1, 16U); + + /* Reading i0+fftLen/4 , i0+3fftLen/4 inputs */ + /* Read yb (real), xb(imag) input */ + T0 = pSrc16[i1 * 2U]; + T1 = pSrc16[(i1 * 2U) + 1U]; + /* Read yd (real), xd(imag) input */ + U0 = pSrc16[i3 * 2U]; + U1 = pSrc16[(i3 * 2U) + 1U]; + + /* T0 = (yb + yd), T1 = (xb + xd)) */ + T0 = __SSAT(T0 + U0, 16U); + T1 = __SSAT(T1 + U1, 16U); + + /* writing the butterfly processed i0 sample */ + /* xa' = xa + xb + xc + xd */ + /* ya' = ya + yb + yc + yd */ + pSrc16[i0 * 2U] = (R0 >> 1U) + (T0 >> 1U); + pSrc16[(i0 * 2U) + 1U] = (R1 >> 1U) + (T1 >> 1U); + + /* R0 = (ya + yc) - (yb + yd), R1 = (xa + xc) - (xb + xd) */ + R0 = (R0 >> 1U) - (T0 >> 1U); + R1 = (R1 >> 1U) - (T1 >> 1U); + /* Read yb (real), xb(imag) input */ + T0 = pSrc16[i1 * 2U]; + T1 = pSrc16[(i1 * 2U) + 1U]; + + /* writing the butterfly processed i0 + fftLen/4 sample */ + /* xc' = (xa-xb+xc-xd) */ + /* yc' = (ya-yb+yc-yd) */ + pSrc16[i1 * 2U] = R0; + pSrc16[(i1 * 2U) + 1U] = R1; + + /* Read yd (real), xd(imag) input */ + U0 = pSrc16[i3 * 2U]; + U1 = pSrc16[(i3 * 2U) + 1U]; + /* T0 = (yb - yd), T1 = (xb - xd) */ + T0 = __SSAT(T0 - U0, 16U); + T1 = __SSAT(T1 - U1, 16U); + + /* writing the butterfly processed i0 + fftLen/2 sample */ + /* xb' = (xa+yb-xc-yd) */ + /* yb' = (ya-xb-yc+xd) */ + pSrc16[i2 * 2U] = (S0 >> 1U) + (T1 >> 1U); + pSrc16[(i2 * 2U) + 1U] = (S1 >> 1U) - (T0 >> 1U); + + /* writing the butterfly processed i0 + 3fftLen/4 sample */ + /* xd' = (xa-yb-xc+yd) */ + /* yd' = (ya+xb-yc-xd) */ + pSrc16[i3 * 2U] = (S0 >> 1U) - (T1 >> 1U); + pSrc16[(i3 * 2U) + 1U] = (S1 >> 1U) + (T0 >> 1U); + + } + + /* end of last stage process */ + + /* output is in 11.5(q5) format for the 1024 point */ + /* output is in 9.7(q7) format for the 256 point */ + /* output is in 7.9(q9) format for the 64 point */ + /* output is in 5.11(q11) format for the 16 point */ + +#endif /* #if defined (ARM_MATH_DSP) */ + +} + + +/** + * @brief Core function for the Q15 CIFFT butterfly process. + * @param[in, out] *pSrc16 points to the in-place buffer of Q15 data type. + * @param[in] fftLen length of the FFT. + * @param[in] *pCoef16 points to twiddle coefficient buffer. + * @param[in] twidCoefModifier twiddle coefficient modifier that supports different size FFTs with the same twiddle factor table. + * @return none. + */ + +/* +* Radix-4 IFFT algorithm used is : +* +* CIFFT uses same twiddle coefficients as CFFT function +* x[k] = x[n] + (j)k * x[n + fftLen/4] + (-1)k * x[n+fftLen/2] + (-j)k * x[n+3*fftLen/4] +* +* +* IFFT is implemented with following changes in equations from FFT +* +* Input real and imaginary data: +* x(n) = xa + j * ya +* x(n+N/4 ) = xb + j * yb +* x(n+N/2 ) = xc + j * yc +* x(n+3N 4) = xd + j * yd +* +* +* Output real and imaginary data: +* x(4r) = xa'+ j * ya' +* x(4r+1) = xb'+ j * yb' +* x(4r+2) = xc'+ j * yc' +* x(4r+3) = xd'+ j * yd' +* +* +* Twiddle factors for radix-4 IFFT: +* Wn = co1 + j * (si1) +* W2n = co2 + j * (si2) +* W3n = co3 + j * (si3) + +* The real and imaginary output values for the radix-4 butterfly are +* xa' = xa + xb + xc + xd +* ya' = ya + yb + yc + yd +* xb' = (xa-yb-xc+yd)* co1 - (ya+xb-yc-xd)* (si1) +* yb' = (ya+xb-yc-xd)* co1 + (xa-yb-xc+yd)* (si1) +* xc' = (xa-xb+xc-xd)* co2 - (ya-yb+yc-yd)* (si2) +* yc' = (ya-yb+yc-yd)* co2 + (xa-xb+xc-xd)* (si2) +* xd' = (xa+yb-xc-yd)* co3 - (ya-xb-yc+xd)* (si3) +* yd' = (ya-xb-yc+xd)* co3 + (xa+yb-xc-yd)* (si3) +* +*/ + +void arm_radix4_butterfly_inverse_q15( + q15_t * pSrc16, + uint32_t fftLen, + q15_t * pCoef16, + uint32_t twidCoefModifier) +{ + +#if defined (ARM_MATH_DSP) + + /* Run the below code for Cortex-M4 and Cortex-M3 */ + + q31_t R, S, T, U; + q31_t C1, C2, C3, out1, out2; + uint32_t n1, n2, ic, i0, j, k; + + q15_t *ptr1; + q15_t *pSi0; + q15_t *pSi1; + q15_t *pSi2; + q15_t *pSi3; + + q31_t xaya, xbyb, xcyc, xdyd; + + /* Total process is divided into three stages */ + + /* process first stage, middle stages, & last stage */ + + /* Initializations for the first stage */ + n2 = fftLen; + n1 = n2; + + /* n2 = fftLen/4 */ + n2 >>= 2U; + + /* Index for twiddle coefficient */ + ic = 0U; + + /* Index for input read and output write */ + j = n2; + + pSi0 = pSrc16; + pSi1 = pSi0 + 2 * n2; + pSi2 = pSi1 + 2 * n2; + pSi3 = pSi2 + 2 * n2; + + /* Input is in 1.15(q15) format */ + + /* start of first stage process */ + do + { + /* Butterfly implementation */ + + /* Reading i0, i0+fftLen/2 inputs */ + /* Read ya (real), xa(imag) input */ + T = _SIMD32_OFFSET(pSi0); + T = __SHADD16(T, 0); + T = __SHADD16(T, 0); + + /* Read yc (real), xc(imag) input */ + S = _SIMD32_OFFSET(pSi2); + S = __SHADD16(S, 0); + S = __SHADD16(S, 0); + + /* R = packed((ya + yc), (xa + xc) ) */ + R = __QADD16(T, S); + + /* S = packed((ya - yc), (xa - xc) ) */ + S = __QSUB16(T, S); + + /* Reading i0+fftLen/4 , i0+3fftLen/4 inputs */ + /* Read yb (real), xb(imag) input */ + T = _SIMD32_OFFSET(pSi1); + T = __SHADD16(T, 0); + T = __SHADD16(T, 0); + + /* Read yd (real), xd(imag) input */ + U = _SIMD32_OFFSET(pSi3); + U = __SHADD16(U, 0); + U = __SHADD16(U, 0); + + /* T = packed((yb + yd), (xb + xd) ) */ + T = __QADD16(T, U); + + /* writing the butterfly processed i0 sample */ + /* xa' = xa + xb + xc + xd */ + /* ya' = ya + yb + yc + yd */ + _SIMD32_OFFSET(pSi0) = __SHADD16(R, T); + pSi0 += 2; + + /* R = packed((ya + yc) - (yb + yd), (xa + xc)- (xb + xd)) */ + R = __QSUB16(R, T); + + /* co2 & si2 are read from SIMD Coefficient pointer */ + C2 = _SIMD32_OFFSET(pCoef16 + (4U * ic)); + +#ifndef ARM_MATH_BIG_ENDIAN + + /* xc' = (xa-xb+xc-xd)* co2 + (ya-yb+yc-yd)* (si2) */ + out1 = __SMUSD(C2, R) >> 16U; + /* yc' = (ya-yb+yc-yd)* co2 - (xa-xb+xc-xd)* (si2) */ + out2 = __SMUADX(C2, R); + +#else + + /* xc' = (ya-yb+yc-yd)* co2 - (xa-xb+xc-xd)* (si2) */ + out1 = __SMUADX(C2, R) >> 16U; + /* yc' = (xa-xb+xc-xd)* co2 + (ya-yb+yc-yd)* (si2) */ + out2 = __SMUSD(__QSUB16(0, C2), R); + +#endif /* #ifndef ARM_MATH_BIG_ENDIAN */ + + /* Reading i0+fftLen/4 */ + /* T = packed(yb, xb) */ + T = _SIMD32_OFFSET(pSi1); + T = __SHADD16(T, 0); + T = __SHADD16(T, 0); + + /* writing the butterfly processed i0 + fftLen/4 sample */ + /* writing output(xc', yc') in little endian format */ + _SIMD32_OFFSET(pSi1) = + (q31_t) ((out2) & 0xFFFF0000) | (out1 & 0x0000FFFF); + pSi1 += 2; + + /* Butterfly calculations */ + /* U = packed(yd, xd) */ + U = _SIMD32_OFFSET(pSi3); + U = __SHADD16(U, 0); + U = __SHADD16(U, 0); + + /* T = packed(yb-yd, xb-xd) */ + T = __QSUB16(T, U); + +#ifndef ARM_MATH_BIG_ENDIAN + + /* R = packed((ya-yc) + (xb- xd) , (xa-xc) - (yb-yd)) */ + R = __QSAX(S, T); + /* S = packed((ya-yc) + (xb- xd), (xa-xc) - (yb-yd)) */ + S = __QASX(S, T); + +#else + + /* R = packed((ya-yc) + (xb- xd) , (xa-xc) - (yb-yd)) */ + R = __QASX(S, T); + /* S = packed((ya-yc) - (xb- xd), (xa-xc) + (yb-yd)) */ + S = __QSAX(S, T); + +#endif /* #ifndef ARM_MATH_BIG_ENDIAN */ + + /* co1 & si1 are read from SIMD Coefficient pointer */ + C1 = _SIMD32_OFFSET(pCoef16 + (2U * ic)); + /* Butterfly process for the i0+fftLen/2 sample */ + +#ifndef ARM_MATH_BIG_ENDIAN + + /* xb' = (xa+yb-xc-yd)* co1 + (ya-xb-yc+xd)* (si1) */ + out1 = __SMUSD(C1, S) >> 16U; + /* yb' = (ya-xb-yc+xd)* co1 - (xa+yb-xc-yd)* (si1) */ + out2 = __SMUADX(C1, S); + +#else + + /* xb' = (ya-xb-yc+xd)* co1 - (xa+yb-xc-yd)* (si1) */ + out1 = __SMUADX(C1, S) >> 16U; + /* yb' = (xa+yb-xc-yd)* co1 + (ya-xb-yc+xd)* (si1) */ + out2 = __SMUSD(__QSUB16(0, C1), S); + +#endif /* #ifndef ARM_MATH_BIG_ENDIAN */ + + /* writing output(xb', yb') in little endian format */ + _SIMD32_OFFSET(pSi2) = + ((out2) & 0xFFFF0000) | ((out1) & 0x0000FFFF); + pSi2 += 2; + + + /* co3 & si3 are read from SIMD Coefficient pointer */ + C3 = _SIMD32_OFFSET(pCoef16 + (6U * ic)); + /* Butterfly process for the i0+3fftLen/4 sample */ + +#ifndef ARM_MATH_BIG_ENDIAN + + /* xd' = (xa-yb-xc+yd)* co3 + (ya+xb-yc-xd)* (si3) */ + out1 = __SMUSD(C3, R) >> 16U; + /* yd' = (ya+xb-yc-xd)* co3 - (xa-yb-xc+yd)* (si3) */ + out2 = __SMUADX(C3, R); + +#else + + /* xd' = (ya+xb-yc-xd)* co3 - (xa-yb-xc+yd)* (si3) */ + out1 = __SMUADX(C3, R) >> 16U; + /* yd' = (xa-yb-xc+yd)* co3 + (ya+xb-yc-xd)* (si3) */ + out2 = __SMUSD(__QSUB16(0, C3), R); + +#endif /* #ifndef ARM_MATH_BIG_ENDIAN */ + + /* writing output(xd', yd') in little endian format */ + _SIMD32_OFFSET(pSi3) = + ((out2) & 0xFFFF0000) | (out1 & 0x0000FFFF); + pSi3 += 2; + + /* Twiddle coefficients index modifier */ + ic = ic + twidCoefModifier; + + } while (--j); + /* data is in 4.11(q11) format */ + + /* end of first stage process */ + + + /* start of middle stage process */ + + /* Twiddle coefficients index modifier */ + twidCoefModifier <<= 2U; + + /* Calculation of Middle stage */ + for (k = fftLen / 4U; k > 4U; k >>= 2U) + { + /* Initializations for the middle stage */ + n1 = n2; + n2 >>= 2U; + ic = 0U; + + for (j = 0U; j <= (n2 - 1U); j++) + { + /* index calculation for the coefficients */ + C1 = _SIMD32_OFFSET(pCoef16 + (2U * ic)); + C2 = _SIMD32_OFFSET(pCoef16 + (4U * ic)); + C3 = _SIMD32_OFFSET(pCoef16 + (6U * ic)); + + /* Twiddle coefficients index modifier */ + ic = ic + twidCoefModifier; + + pSi0 = pSrc16 + 2 * j; + pSi1 = pSi0 + 2 * n2; + pSi2 = pSi1 + 2 * n2; + pSi3 = pSi2 + 2 * n2; + + /* Butterfly implementation */ + for (i0 = j; i0 < fftLen; i0 += n1) + { + /* Reading i0, i0+fftLen/2 inputs */ + /* Read ya (real), xa(imag) input */ + T = _SIMD32_OFFSET(pSi0); + + /* Read yc (real), xc(imag) input */ + S = _SIMD32_OFFSET(pSi2); + + /* R = packed( (ya + yc), (xa + xc)) */ + R = __QADD16(T, S); + + /* S = packed((ya - yc), (xa - xc)) */ + S = __QSUB16(T, S); + + /* Reading i0+fftLen/4 , i0+3fftLen/4 inputs */ + /* Read yb (real), xb(imag) input */ + T = _SIMD32_OFFSET(pSi1); + + /* Read yd (real), xd(imag) input */ + U = _SIMD32_OFFSET(pSi3); + + /* T = packed( (yb + yd), (xb + xd)) */ + T = __QADD16(T, U); + + /* writing the butterfly processed i0 sample */ + + /* xa' = xa + xb + xc + xd */ + /* ya' = ya + yb + yc + yd */ + out1 = __SHADD16(R, T); + out1 = __SHADD16(out1, 0); + _SIMD32_OFFSET(pSi0) = out1; + pSi0 += 2 * n1; + + /* R = packed( (ya + yc) - (yb + yd), (xa + xc) - (xb + xd)) */ + R = __SHSUB16(R, T); + +#ifndef ARM_MATH_BIG_ENDIAN + + /* (ya-yb+yc-yd)* (si2) + (xa-xb+xc-xd)* co2 */ + out1 = __SMUSD(C2, R) >> 16U; + + /* (ya-yb+yc-yd)* co2 - (xa-xb+xc-xd)* (si2) */ + out2 = __SMUADX(C2, R); + +#else + + /* (ya-yb+yc-yd)* co2 - (xa-xb+xc-xd)* (si2) */ + out1 = __SMUADX(R, C2) >> 16U; + + /* (ya-yb+yc-yd)* (si2) + (xa-xb+xc-xd)* co2 */ + out2 = __SMUSD(__QSUB16(0, C2), R); + +#endif /* #ifndef ARM_MATH_BIG_ENDIAN */ + + /* Reading i0+3fftLen/4 */ + /* Read yb (real), xb(imag) input */ + T = _SIMD32_OFFSET(pSi1); + + /* writing the butterfly processed i0 + fftLen/4 sample */ + /* xc' = (xa-xb+xc-xd)* co2 + (ya-yb+yc-yd)* (si2) */ + /* yc' = (ya-yb+yc-yd)* co2 - (xa-xb+xc-xd)* (si2) */ + _SIMD32_OFFSET(pSi1) = + ((out2) & 0xFFFF0000) | (out1 & 0x0000FFFF); + pSi1 += 2 * n1; + + /* Butterfly calculations */ + + /* Read yd (real), xd(imag) input */ + U = _SIMD32_OFFSET(pSi3); + + /* T = packed(yb-yd, xb-xd) */ + T = __QSUB16(T, U); + +#ifndef ARM_MATH_BIG_ENDIAN + + /* R = packed((ya-yc) + (xb- xd) , (xa-xc) - (yb-yd)) */ + R = __SHSAX(S, T); + + /* S = packed((ya-yc) - (xb- xd), (xa-xc) + (yb-yd)) */ + S = __SHASX(S, T); + + + /* Butterfly process for the i0+fftLen/2 sample */ + out1 = __SMUSD(C1, S) >> 16U; + out2 = __SMUADX(C1, S); + +#else + + /* R = packed((ya-yc) + (xb- xd) , (xa-xc) - (yb-yd)) */ + R = __SHASX(S, T); + + /* S = packed((ya-yc) - (xb- xd), (xa-xc) + (yb-yd)) */ + S = __SHSAX(S, T); + + + /* Butterfly process for the i0+fftLen/2 sample */ + out1 = __SMUADX(S, C1) >> 16U; + out2 = __SMUSD(__QSUB16(0, C1), S); + +#endif /* #ifndef ARM_MATH_BIG_ENDIAN */ + + /* xb' = (xa+yb-xc-yd)* co1 + (ya-xb-yc+xd)* (si1) */ + /* yb' = (ya-xb-yc+xd)* co1 - (xa+yb-xc-yd)* (si1) */ + _SIMD32_OFFSET(pSi2) = + ((out2) & 0xFFFF0000) | (out1 & 0x0000FFFF); + pSi2 += 2 * n1; + + /* Butterfly process for the i0+3fftLen/4 sample */ + +#ifndef ARM_MATH_BIG_ENDIAN + + out1 = __SMUSD(C3, R) >> 16U; + out2 = __SMUADX(C3, R); + +#else + + out1 = __SMUADX(C3, R) >> 16U; + out2 = __SMUSD(__QSUB16(0, C3), R); + +#endif /* #ifndef ARM_MATH_BIG_ENDIAN */ + + /* xd' = (xa-yb-xc+yd)* co3 + (ya+xb-yc-xd)* (si3) */ + /* yd' = (ya+xb-yc-xd)* co3 - (xa-yb-xc+yd)* (si3) */ + _SIMD32_OFFSET(pSi3) = + ((out2) & 0xFFFF0000) | (out1 & 0x0000FFFF); + pSi3 += 2 * n1; + } + } + /* Twiddle coefficients index modifier */ + twidCoefModifier <<= 2U; + } + /* end of middle stage process */ + + /* data is in 10.6(q6) format for the 1024 point */ + /* data is in 8.8(q8) format for the 256 point */ + /* data is in 6.10(q10) format for the 64 point */ + /* data is in 4.12(q12) format for the 16 point */ + + /* Initializations for the last stage */ + j = fftLen >> 2; + + ptr1 = &pSrc16[0]; + + /* start of last stage process */ + + /* Butterfly implementation */ + do + { + /* Read xa (real), ya(imag) input */ + xaya = *__SIMD32(ptr1)++; + + /* Read xb (real), yb(imag) input */ + xbyb = *__SIMD32(ptr1)++; + + /* Read xc (real), yc(imag) input */ + xcyc = *__SIMD32(ptr1)++; + + /* Read xd (real), yd(imag) input */ + xdyd = *__SIMD32(ptr1)++; + + /* R = packed((ya + yc), (xa + xc)) */ + R = __QADD16(xaya, xcyc); + + /* T = packed((yb + yd), (xb + xd)) */ + T = __QADD16(xbyb, xdyd); + + /* pointer updation for writing */ + ptr1 = ptr1 - 8U; + + + /* xa' = xa + xb + xc + xd */ + /* ya' = ya + yb + yc + yd */ + *__SIMD32(ptr1)++ = __SHADD16(R, T); + + /* T = packed((yb + yd), (xb + xd)) */ + T = __QADD16(xbyb, xdyd); + + /* xc' = (xa-xb+xc-xd) */ + /* yc' = (ya-yb+yc-yd) */ + *__SIMD32(ptr1)++ = __SHSUB16(R, T); + + /* S = packed((ya - yc), (xa - xc)) */ + S = __QSUB16(xaya, xcyc); + + /* Read yd (real), xd(imag) input */ + /* T = packed( (yb - yd), (xb - xd)) */ + U = __QSUB16(xbyb, xdyd); + +#ifndef ARM_MATH_BIG_ENDIAN + + /* xb' = (xa+yb-xc-yd) */ + /* yb' = (ya-xb-yc+xd) */ + *__SIMD32(ptr1)++ = __SHASX(S, U); + + + /* xd' = (xa-yb-xc+yd) */ + /* yd' = (ya+xb-yc-xd) */ + *__SIMD32(ptr1)++ = __SHSAX(S, U); + +#else + + /* xb' = (xa+yb-xc-yd) */ + /* yb' = (ya-xb-yc+xd) */ + *__SIMD32(ptr1)++ = __SHSAX(S, U); + + + /* xd' = (xa-yb-xc+yd) */ + /* yd' = (ya+xb-yc-xd) */ + *__SIMD32(ptr1)++ = __SHASX(S, U); + + +#endif /* #ifndef ARM_MATH_BIG_ENDIAN */ + + } while (--j); + + /* end of last stage process */ + + /* output is in 11.5(q5) format for the 1024 point */ + /* output is in 9.7(q7) format for the 256 point */ + /* output is in 7.9(q9) format for the 64 point */ + /* output is in 5.11(q11) format for the 16 point */ + + +#else + + /* Run the below code for Cortex-M0 */ + + q15_t R0, R1, S0, S1, T0, T1, U0, U1; + q15_t Co1, Si1, Co2, Si2, Co3, Si3, out1, out2; + uint32_t n1, n2, ic, i0, i1, i2, i3, j, k; + + /* Total process is divided into three stages */ + + /* process first stage, middle stages, & last stage */ + + /* Initializations for the first stage */ + n2 = fftLen; + n1 = n2; + + /* n2 = fftLen/4 */ + n2 >>= 2U; + + /* Index for twiddle coefficient */ + ic = 0U; + + /* Index for input read and output write */ + i0 = 0U; + + j = n2; + + /* Input is in 1.15(q15) format */ + + /* Start of first stage process */ + do + { + /* Butterfly implementation */ + + /* index calculation for the input as, */ + /* pSrc16[i0 + 0], pSrc16[i0 + fftLen/4], pSrc16[i0 + fftLen/2], pSrc16[i0 + 3fftLen/4] */ + i1 = i0 + n2; + i2 = i1 + n2; + i3 = i2 + n2; + + /* Reading i0, i0+fftLen/2 inputs */ + /* input is down scale by 4 to avoid overflow */ + /* Read ya (real), xa(imag) input */ + T0 = pSrc16[i0 * 2U] >> 2U; + T1 = pSrc16[(i0 * 2U) + 1U] >> 2U; + /* input is down scale by 4 to avoid overflow */ + /* Read yc (real), xc(imag) input */ + S0 = pSrc16[i2 * 2U] >> 2U; + S1 = pSrc16[(i2 * 2U) + 1U] >> 2U; + + /* R0 = (ya + yc), R1 = (xa + xc) */ + R0 = __SSAT(T0 + S0, 16U); + R1 = __SSAT(T1 + S1, 16U); + /* S0 = (ya - yc), S1 = (xa - xc) */ + S0 = __SSAT(T0 - S0, 16U); + S1 = __SSAT(T1 - S1, 16U); + + /* Reading i0+fftLen/4 , i0+3fftLen/4 inputs */ + /* input is down scale by 4 to avoid overflow */ + /* Read yb (real), xb(imag) input */ + T0 = pSrc16[i1 * 2U] >> 2U; + T1 = pSrc16[(i1 * 2U) + 1U] >> 2U; + /* Read yd (real), xd(imag) input */ + /* input is down scale by 4 to avoid overflow */ + U0 = pSrc16[i3 * 2U] >> 2U; + U1 = pSrc16[(i3 * 2U) + 1U] >> 2U; + + /* T0 = (yb + yd), T1 = (xb + xd) */ + T0 = __SSAT(T0 + U0, 16U); + T1 = __SSAT(T1 + U1, 16U); + + /* writing the butterfly processed i0 sample */ + /* xa' = xa + xb + xc + xd */ + /* ya' = ya + yb + yc + yd */ + pSrc16[i0 * 2U] = (R0 >> 1U) + (T0 >> 1U); + pSrc16[(i0 * 2U) + 1U] = (R1 >> 1U) + (T1 >> 1U); + + /* R0 = (ya + yc) - (yb + yd), R1 = (xa + xc)- (xb + xd) */ + R0 = __SSAT(R0 - T0, 16U); + R1 = __SSAT(R1 - T1, 16U); + /* co2 & si2 are read from Coefficient pointer */ + Co2 = pCoef16[2U * ic * 2U]; + Si2 = pCoef16[(2U * ic * 2U) + 1U]; + /* xc' = (xa-xb+xc-xd)* co2 - (ya-yb+yc-yd)* (si2) */ + out1 = (q15_t) ((Co2 * R0 - Si2 * R1) >> 16U); + /* yc' = (ya-yb+yc-yd)* co2 + (xa-xb+xc-xd)* (si2) */ + out2 = (q15_t) ((Si2 * R0 + Co2 * R1) >> 16U); + + /* Reading i0+fftLen/4 */ + /* input is down scale by 4 to avoid overflow */ + /* T0 = yb, T1 = xb */ + T0 = pSrc16[i1 * 2U] >> 2U; + T1 = pSrc16[(i1 * 2U) + 1U] >> 2U; + + /* writing the butterfly processed i0 + fftLen/4 sample */ + /* writing output(xc', yc') in little endian format */ + pSrc16[i1 * 2U] = out1; + pSrc16[(i1 * 2U) + 1U] = out2; + + /* Butterfly calculations */ + /* input is down scale by 4 to avoid overflow */ + /* U0 = yd, U1 = xd) */ + U0 = pSrc16[i3 * 2U] >> 2U; + U1 = pSrc16[(i3 * 2U) + 1U] >> 2U; + + /* T0 = yb-yd, T1 = xb-xd) */ + T0 = __SSAT(T0 - U0, 16U); + T1 = __SSAT(T1 - U1, 16U); + /* R0 = (ya-yc) - (xb- xd) , R1 = (xa-xc) + (yb-yd) */ + R0 = (q15_t) __SSAT((q31_t) (S0 + T1), 16); + R1 = (q15_t) __SSAT((q31_t) (S1 - T0), 16); + /* S = (ya-yc) + (xb- xd), S1 = (xa-xc) - (yb-yd) */ + S0 = (q15_t) __SSAT((q31_t) (S0 - T1), 16); + S1 = (q15_t) __SSAT((q31_t) (S1 + T0), 16); + + /* co1 & si1 are read from Coefficient pointer */ + Co1 = pCoef16[ic * 2U]; + Si1 = pCoef16[(ic * 2U) + 1U]; + /* Butterfly process for the i0+fftLen/2 sample */ + /* xb' = (xa-yb-xc+yd)* co1 - (ya+xb-yc-xd)* (si1) */ + out1 = (q15_t) ((Co1 * S0 - Si1 * S1) >> 16U); + /* yb' = (ya+xb-yc-xd)* co1 + (xa-yb-xc+yd)* (si1) */ + out2 = (q15_t) ((Si1 * S0 + Co1 * S1) >> 16U); + /* writing output(xb', yb') in little endian format */ + pSrc16[i2 * 2U] = out1; + pSrc16[(i2 * 2U) + 1U] = out2; + + /* Co3 & si3 are read from Coefficient pointer */ + Co3 = pCoef16[3U * ic * 2U]; + Si3 = pCoef16[(3U * ic * 2U) + 1U]; + /* Butterfly process for the i0+3fftLen/4 sample */ + /* xd' = (xa+yb-xc-yd)* Co3 - (ya-xb-yc+xd)* (si3) */ + out1 = (q15_t) ((Co3 * R0 - Si3 * R1) >> 16U); + /* yd' = (ya-xb-yc+xd)* Co3 + (xa+yb-xc-yd)* (si3) */ + out2 = (q15_t) ((Si3 * R0 + Co3 * R1) >> 16U); + /* writing output(xd', yd') in little endian format */ + pSrc16[i3 * 2U] = out1; + pSrc16[(i3 * 2U) + 1U] = out2; + + /* Twiddle coefficients index modifier */ + ic = ic + twidCoefModifier; + + /* Updating input index */ + i0 = i0 + 1U; + + } while (--j); + + /* End of first stage process */ + + /* data is in 4.11(q11) format */ + + + /* Start of Middle stage process */ + + /* Twiddle coefficients index modifier */ + twidCoefModifier <<= 2U; + + /* Calculation of Middle stage */ + for (k = fftLen / 4U; k > 4U; k >>= 2U) + { + /* Initializations for the middle stage */ + n1 = n2; + n2 >>= 2U; + ic = 0U; + + for (j = 0U; j <= (n2 - 1U); j++) + { + /* index calculation for the coefficients */ + Co1 = pCoef16[ic * 2U]; + Si1 = pCoef16[(ic * 2U) + 1U]; + Co2 = pCoef16[2U * ic * 2U]; + Si2 = pCoef16[2U * ic * 2U + 1U]; + Co3 = pCoef16[3U * ic * 2U]; + Si3 = pCoef16[(3U * ic * 2U) + 1U]; + + /* Twiddle coefficients index modifier */ + ic = ic + twidCoefModifier; + + /* Butterfly implementation */ + for (i0 = j; i0 < fftLen; i0 += n1) + { + /* index calculation for the input as, */ + /* pSrc16[i0 + 0], pSrc16[i0 + fftLen/4], pSrc16[i0 + fftLen/2], pSrc16[i0 + 3fftLen/4] */ + i1 = i0 + n2; + i2 = i1 + n2; + i3 = i2 + n2; + + /* Reading i0, i0+fftLen/2 inputs */ + /* Read ya (real), xa(imag) input */ + T0 = pSrc16[i0 * 2U]; + T1 = pSrc16[(i0 * 2U) + 1U]; + + /* Read yc (real), xc(imag) input */ + S0 = pSrc16[i2 * 2U]; + S1 = pSrc16[(i2 * 2U) + 1U]; + + + /* R0 = (ya + yc), R1 = (xa + xc) */ + R0 = __SSAT(T0 + S0, 16U); + R1 = __SSAT(T1 + S1, 16U); + /* S0 = (ya - yc), S1 = (xa - xc) */ + S0 = __SSAT(T0 - S0, 16U); + S1 = __SSAT(T1 - S1, 16U); + + /* Reading i0+fftLen/4 , i0+3fftLen/4 inputs */ + /* Read yb (real), xb(imag) input */ + T0 = pSrc16[i1 * 2U]; + T1 = pSrc16[(i1 * 2U) + 1U]; + + /* Read yd (real), xd(imag) input */ + U0 = pSrc16[i3 * 2U]; + U1 = pSrc16[(i3 * 2U) + 1U]; + + /* T0 = (yb + yd), T1 = (xb + xd) */ + T0 = __SSAT(T0 + U0, 16U); + T1 = __SSAT(T1 + U1, 16U); + + /* writing the butterfly processed i0 sample */ + /* xa' = xa + xb + xc + xd */ + /* ya' = ya + yb + yc + yd */ + pSrc16[i0 * 2U] = ((R0 >> 1U) + (T0 >> 1U)) >> 1U; + pSrc16[(i0 * 2U) + 1U] = ((R1 >> 1U) + (T1 >> 1U)) >> 1U; + + /* R0 = (ya + yc) - (yb + yd), R1 = (xa + xc) - (xb + xd) */ + R0 = (R0 >> 1U) - (T0 >> 1U); + R1 = (R1 >> 1U) - (T1 >> 1U); + + /* (ya-yb+yc-yd)* (si2) - (xa-xb+xc-xd)* co2 */ + out1 = (q15_t) ((Co2 * R0 - Si2 * R1) >> 16); + /* (ya-yb+yc-yd)* co2 + (xa-xb+xc-xd)* (si2) */ + out2 = (q15_t) ((Si2 * R0 + Co2 * R1) >> 16); + + /* Reading i0+3fftLen/4 */ + /* Read yb (real), xb(imag) input */ + T0 = pSrc16[i1 * 2U]; + T1 = pSrc16[(i1 * 2U) + 1U]; + + /* writing the butterfly processed i0 + fftLen/4 sample */ + /* xc' = (xa-xb+xc-xd)* co2 - (ya-yb+yc-yd)* (si2) */ + /* yc' = (ya-yb+yc-yd)* co2 + (xa-xb+xc-xd)* (si2) */ + pSrc16[i1 * 2U] = out1; + pSrc16[(i1 * 2U) + 1U] = out2; + + /* Butterfly calculations */ + /* Read yd (real), xd(imag) input */ + U0 = pSrc16[i3 * 2U]; + U1 = pSrc16[(i3 * 2U) + 1U]; + + /* T0 = yb-yd, T1 = xb-xd) */ + T0 = __SSAT(T0 - U0, 16U); + T1 = __SSAT(T1 - U1, 16U); + + /* R0 = (ya-yc) - (xb- xd) , R1 = (xa-xc) + (yb-yd) */ + R0 = (S0 >> 1U) + (T1 >> 1U); + R1 = (S1 >> 1U) - (T0 >> 1U); + + /* S1 = (ya-yc) + (xb- xd), S1 = (xa-xc) - (yb-yd) */ + S0 = (S0 >> 1U) - (T1 >> 1U); + S1 = (S1 >> 1U) + (T0 >> 1U); + + /* Butterfly process for the i0+fftLen/2 sample */ + out1 = (q15_t) ((Co1 * S0 - Si1 * S1) >> 16U); + out2 = (q15_t) ((Si1 * S0 + Co1 * S1) >> 16U); + /* xb' = (xa-yb-xc+yd)* co1 - (ya+xb-yc-xd)* (si1) */ + /* yb' = (ya+xb-yc-xd)* co1 + (xa-yb-xc+yd)* (si1) */ + pSrc16[i2 * 2U] = out1; + pSrc16[(i2 * 2U) + 1U] = out2; + + /* Butterfly process for the i0+3fftLen/4 sample */ + out1 = (q15_t) ((Co3 * R0 - Si3 * R1) >> 16U); + + out2 = (q15_t) ((Si3 * R0 + Co3 * R1) >> 16U); + /* xd' = (xa+yb-xc-yd)* Co3 - (ya-xb-yc+xd)* (si3) */ + /* yd' = (ya-xb-yc+xd)* Co3 + (xa+yb-xc-yd)* (si3) */ + pSrc16[i3 * 2U] = out1; + pSrc16[(i3 * 2U) + 1U] = out2; + + + } + } + /* Twiddle coefficients index modifier */ + twidCoefModifier <<= 2U; + } + /* End of Middle stages process */ + + + /* data is in 10.6(q6) format for the 1024 point */ + /* data is in 8.8(q8) format for the 256 point */ + /* data is in 6.10(q10) format for the 64 point */ + /* data is in 4.12(q12) format for the 16 point */ + + /* start of last stage process */ + + + /* Initializations for the last stage */ + n1 = n2; + n2 >>= 2U; + + /* Butterfly implementation */ + for (i0 = 0U; i0 <= (fftLen - n1); i0 += n1) + { + /* index calculation for the input as, */ + /* pSrc16[i0 + 0], pSrc16[i0 + fftLen/4], pSrc16[i0 + fftLen/2], pSrc16[i0 + 3fftLen/4] */ + i1 = i0 + n2; + i2 = i1 + n2; + i3 = i2 + n2; + + /* Reading i0, i0+fftLen/2 inputs */ + /* Read ya (real), xa(imag) input */ + T0 = pSrc16[i0 * 2U]; + T1 = pSrc16[(i0 * 2U) + 1U]; + /* Read yc (real), xc(imag) input */ + S0 = pSrc16[i2 * 2U]; + S1 = pSrc16[(i2 * 2U) + 1U]; + + /* R0 = (ya + yc), R1 = (xa + xc) */ + R0 = __SSAT(T0 + S0, 16U); + R1 = __SSAT(T1 + S1, 16U); + /* S0 = (ya - yc), S1 = (xa - xc) */ + S0 = __SSAT(T0 - S0, 16U); + S1 = __SSAT(T1 - S1, 16U); + + /* Reading i0+fftLen/4 , i0+3fftLen/4 inputs */ + /* Read yb (real), xb(imag) input */ + T0 = pSrc16[i1 * 2U]; + T1 = pSrc16[(i1 * 2U) + 1U]; + /* Read yd (real), xd(imag) input */ + U0 = pSrc16[i3 * 2U]; + U1 = pSrc16[(i3 * 2U) + 1U]; + + /* T0 = (yb + yd), T1 = (xb + xd) */ + T0 = __SSAT(T0 + U0, 16U); + T1 = __SSAT(T1 + U1, 16U); + + /* writing the butterfly processed i0 sample */ + /* xa' = xa + xb + xc + xd */ + /* ya' = ya + yb + yc + yd */ + pSrc16[i0 * 2U] = (R0 >> 1U) + (T0 >> 1U); + pSrc16[(i0 * 2U) + 1U] = (R1 >> 1U) + (T1 >> 1U); + + /* R0 = (ya + yc) - (yb + yd), R1 = (xa + xc) - (xb + xd) */ + R0 = (R0 >> 1U) - (T0 >> 1U); + R1 = (R1 >> 1U) - (T1 >> 1U); + + /* Read yb (real), xb(imag) input */ + T0 = pSrc16[i1 * 2U]; + T1 = pSrc16[(i1 * 2U) + 1U]; + + /* writing the butterfly processed i0 + fftLen/4 sample */ + /* xc' = (xa-xb+xc-xd) */ + /* yc' = (ya-yb+yc-yd) */ + pSrc16[i1 * 2U] = R0; + pSrc16[(i1 * 2U) + 1U] = R1; + + /* Read yd (real), xd(imag) input */ + U0 = pSrc16[i3 * 2U]; + U1 = pSrc16[(i3 * 2U) + 1U]; + /* T0 = (yb - yd), T1 = (xb - xd) */ + T0 = __SSAT(T0 - U0, 16U); + T1 = __SSAT(T1 - U1, 16U); + + /* writing the butterfly processed i0 + fftLen/2 sample */ + /* xb' = (xa-yb-xc+yd) */ + /* yb' = (ya+xb-yc-xd) */ + pSrc16[i2 * 2U] = (S0 >> 1U) - (T1 >> 1U); + pSrc16[(i2 * 2U) + 1U] = (S1 >> 1U) + (T0 >> 1U); + + + /* writing the butterfly processed i0 + 3fftLen/4 sample */ + /* xd' = (xa+yb-xc-yd) */ + /* yd' = (ya-xb-yc+xd) */ + pSrc16[i3 * 2U] = (S0 >> 1U) + (T1 >> 1U); + pSrc16[(i3 * 2U) + 1U] = (S1 >> 1U) - (T0 >> 1U); + } + /* end of last stage process */ + + /* output is in 11.5(q5) format for the 1024 point */ + /* output is in 9.7(q7) format for the 256 point */ + /* output is in 7.9(q9) format for the 64 point */ + /* output is in 5.11(q11) format for the 16 point */ + +#endif /* #if defined (ARM_MATH_DSP) */ + +} diff --git a/fw/hid-dials/Drivers/CMSIS/DSP/Source/TransformFunctions/arm_cfft_radix4_q31.c b/fw/hid-dials/Drivers/CMSIS/DSP/Source/TransformFunctions/arm_cfft_radix4_q31.c new file mode 100644 index 0000000..35025bb --- /dev/null +++ b/fw/hid-dials/Drivers/CMSIS/DSP/Source/TransformFunctions/arm_cfft_radix4_q31.c @@ -0,0 +1,1389 @@ +/* ---------------------------------------------------------------------- + * Project: CMSIS DSP Library + * Title: arm_cfft_radix4_q31.c + * Description: This file has function definition of Radix-4 FFT & IFFT function and + * In-place bit reversal using bit reversal table + * + * $Date: 27. January 2017 + * $Revision: V.1.5.1 + * + * Target Processor: Cortex-M cores + * -------------------------------------------------------------------- */ +/* + * Copyright (C) 2010-2017 ARM Limited or its affiliates. All rights reserved. + * + * SPDX-License-Identifier: Apache-2.0 + * + * Licensed under the Apache License, Version 2.0 (the License); you may + * not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an AS IS BASIS, WITHOUT + * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ + +#include "arm_math.h" + +void arm_radix4_butterfly_inverse_q31( +q31_t * pSrc, +uint32_t fftLen, +q31_t * pCoef, +uint32_t twidCoefModifier); + +void arm_radix4_butterfly_q31( +q31_t * pSrc, +uint32_t fftLen, +q31_t * pCoef, +uint32_t twidCoefModifier); + +void arm_bitreversal_q31( +q31_t * pSrc, +uint32_t fftLen, +uint16_t bitRevFactor, +uint16_t * pBitRevTab); + +/** + * @ingroup groupTransforms + */ + +/** + * @addtogroup ComplexFFT + * @{ + */ + +/** + * @details + * @brief Processing function for the Q31 CFFT/CIFFT. + * @deprecated Do not use this function. It has been superseded by \ref arm_cfft_q31 and will be removed + * @param[in] *S points to an instance of the Q31 CFFT/CIFFT structure. + * @param[in, out] *pSrc points to the complex data buffer of size 2*fftLen. Processing occurs in-place. + * @return none. + * + * \par Input and output formats: + * \par + * Internally input is downscaled by 2 for every stage to avoid saturations inside CFFT/CIFFT process. + * Hence the output format is different for different FFT sizes. + * The input and output formats for different FFT sizes and number of bits to upscale are mentioned in the tables below for CFFT and CIFFT: + * \par + * \image html CFFTQ31.gif "Input and Output Formats for Q31 CFFT" + * \image html CIFFTQ31.gif "Input and Output Formats for Q31 CIFFT" + * + */ + +void arm_cfft_radix4_q31( + const arm_cfft_radix4_instance_q31 * S, + q31_t * pSrc) +{ + if (S->ifftFlag == 1U) + { + /* Complex IFFT radix-4 */ + arm_radix4_butterfly_inverse_q31(pSrc, S->fftLen, S->pTwiddle, S->twidCoefModifier); + } + else + { + /* Complex FFT radix-4 */ + arm_radix4_butterfly_q31(pSrc, S->fftLen, S->pTwiddle, S->twidCoefModifier); + } + + if (S->bitReverseFlag == 1U) + { + /* Bit Reversal */ + arm_bitreversal_q31(pSrc, S->fftLen, S->bitRevFactor, S->pBitRevTable); + } + +} + +/** + * @} end of ComplexFFT group + */ + +/* +* Radix-4 FFT algorithm used is : +* +* Input real and imaginary data: +* x(n) = xa + j * ya +* x(n+N/4 ) = xb + j * yb +* x(n+N/2 ) = xc + j * yc +* x(n+3N 4) = xd + j * yd +* +* +* Output real and imaginary data: +* x(4r) = xa'+ j * ya' +* x(4r+1) = xb'+ j * yb' +* x(4r+2) = xc'+ j * yc' +* x(4r+3) = xd'+ j * yd' +* +* +* Twiddle factors for radix-4 FFT: +* Wn = co1 + j * (- si1) +* W2n = co2 + j * (- si2) +* W3n = co3 + j * (- si3) +* +* Butterfly implementation: +* xa' = xa + xb + xc + xd +* ya' = ya + yb + yc + yd +* xb' = (xa+yb-xc-yd)* co1 + (ya-xb-yc+xd)* (si1) +* yb' = (ya-xb-yc+xd)* co1 - (xa+yb-xc-yd)* (si1) +* xc' = (xa-xb+xc-xd)* co2 + (ya-yb+yc-yd)* (si2) +* yc' = (ya-yb+yc-yd)* co2 - (xa-xb+xc-xd)* (si2) +* xd' = (xa-yb-xc+yd)* co3 + (ya+xb-yc-xd)* (si3) +* yd' = (ya+xb-yc-xd)* co3 - (xa-yb-xc+yd)* (si3) +* +*/ + +/** + * @brief Core function for the Q31 CFFT butterfly process. + * @param[in, out] *pSrc points to the in-place buffer of Q31 data type. + * @param[in] fftLen length of the FFT. + * @param[in] *pCoef points to twiddle coefficient buffer. + * @param[in] twidCoefModifier twiddle coefficient modifier that supports different size FFTs with the same twiddle factor table. + * @return none. + */ + +void arm_radix4_butterfly_q31( + q31_t * pSrc, + uint32_t fftLen, + q31_t * pCoef, + uint32_t twidCoefModifier) +{ +#if defined(ARM_MATH_CM7) + uint32_t n1, n2, ia1, ia2, ia3, i0, i1, i2, i3, j, k; + q31_t t1, t2, r1, r2, s1, s2, co1, co2, co3, si1, si2, si3; + + q31_t xa, xb, xc, xd; + q31_t ya, yb, yc, yd; + q31_t xa_out, xb_out, xc_out, xd_out; + q31_t ya_out, yb_out, yc_out, yd_out; + + q31_t *ptr1; + q63_t xaya, xbyb, xcyc, xdyd; + /* Total process is divided into three stages */ + + /* process first stage, middle stages, & last stage */ + + + /* start of first stage process */ + + /* Initializations for the first stage */ + n2 = fftLen; + n1 = n2; + /* n2 = fftLen/4 */ + n2 >>= 2U; + i0 = 0U; + ia1 = 0U; + + j = n2; + + /* Calculation of first stage */ + do + { + /* index calculation for the input as, */ + /* pSrc[i0 + 0], pSrc[i0 + fftLen/4], pSrc[i0 + fftLen/2U], pSrc[i0 + 3fftLen/4] */ + i1 = i0 + n2; + i2 = i1 + n2; + i3 = i2 + n2; + + /* input is in 1.31(q31) format and provide 4 guard bits for the input */ + + /* Butterfly implementation */ + /* xa + xc */ + r1 = (pSrc[(2U * i0)] >> 4U) + (pSrc[(2U * i2)] >> 4U); + /* xa - xc */ + r2 = (pSrc[2U * i0] >> 4U) - (pSrc[2U * i2] >> 4U); + + /* xb + xd */ + t1 = (pSrc[2U * i1] >> 4U) + (pSrc[2U * i3] >> 4U); + + /* ya + yc */ + s1 = (pSrc[(2U * i0) + 1U] >> 4U) + (pSrc[(2U * i2) + 1U] >> 4U); + /* ya - yc */ + s2 = (pSrc[(2U * i0) + 1U] >> 4U) - (pSrc[(2U * i2) + 1U] >> 4U); + + /* xa' = xa + xb + xc + xd */ + pSrc[2U * i0] = (r1 + t1); + /* (xa + xc) - (xb + xd) */ + r1 = r1 - t1; + /* yb + yd */ + t2 = (pSrc[(2U * i1) + 1U] >> 4U) + (pSrc[(2U * i3) + 1U] >> 4U); + + /* ya' = ya + yb + yc + yd */ + pSrc[(2U * i0) + 1U] = (s1 + t2); + + /* (ya + yc) - (yb + yd) */ + s1 = s1 - t2; + + /* yb - yd */ + t1 = (pSrc[(2U * i1) + 1U] >> 4U) - (pSrc[(2U * i3) + 1U] >> 4U); + /* xb - xd */ + t2 = (pSrc[2U * i1] >> 4U) - (pSrc[2U * i3] >> 4U); + + /* index calculation for the coefficients */ + ia2 = 2U * ia1; + co2 = pCoef[ia2 * 2U]; + si2 = pCoef[(ia2 * 2U) + 1U]; + + /* xc' = (xa-xb+xc-xd)co2 + (ya-yb+yc-yd)(si2) */ + pSrc[2U * i1] = (((int32_t) (((q63_t) r1 * co2) >> 32)) + + ((int32_t) (((q63_t) s1 * si2) >> 32))) << 1U; + + /* yc' = (ya-yb+yc-yd)co2 - (xa-xb+xc-xd)(si2) */ + pSrc[(2U * i1) + 1U] = (((int32_t) (((q63_t) s1 * co2) >> 32)) - + ((int32_t) (((q63_t) r1 * si2) >> 32))) << 1U; + + /* (xa - xc) + (yb - yd) */ + r1 = r2 + t1; + /* (xa - xc) - (yb - yd) */ + r2 = r2 - t1; + + /* (ya - yc) - (xb - xd) */ + s1 = s2 - t2; + /* (ya - yc) + (xb - xd) */ + s2 = s2 + t2; + + co1 = pCoef[ia1 * 2U]; + si1 = pCoef[(ia1 * 2U) + 1U]; + + /* xb' = (xa+yb-xc-yd)co1 + (ya-xb-yc+xd)(si1) */ + pSrc[2U * i2] = (((int32_t) (((q63_t) r1 * co1) >> 32)) + + ((int32_t) (((q63_t) s1 * si1) >> 32))) << 1U; + + /* yb' = (ya-xb-yc+xd)co1 - (xa+yb-xc-yd)(si1) */ + pSrc[(2U * i2) + 1U] = (((int32_t) (((q63_t) s1 * co1) >> 32)) - + ((int32_t) (((q63_t) r1 * si1) >> 32))) << 1U; + + /* index calculation for the coefficients */ + ia3 = 3U * ia1; + co3 = pCoef[ia3 * 2U]; + si3 = pCoef[(ia3 * 2U) + 1U]; + + /* xd' = (xa-yb-xc+yd)co3 + (ya+xb-yc-xd)(si3) */ + pSrc[2U * i3] = (((int32_t) (((q63_t) r2 * co3) >> 32)) + + ((int32_t) (((q63_t) s2 * si3) >> 32))) << 1U; + + /* yd' = (ya+xb-yc-xd)co3 - (xa-yb-xc+yd)(si3) */ + pSrc[(2U * i3) + 1U] = (((int32_t) (((q63_t) s2 * co3) >> 32)) - + ((int32_t) (((q63_t) r2 * si3) >> 32))) << 1U; + + /* Twiddle coefficients index modifier */ + ia1 = ia1 + twidCoefModifier; + + /* Updating input index */ + i0 = i0 + 1U; + + } while (--j); + + /* end of first stage process */ + + /* data is in 5.27(q27) format */ + + + /* start of Middle stages process */ + + + /* each stage in middle stages provides two down scaling of the input */ + + twidCoefModifier <<= 2U; + + + for (k = fftLen / 4U; k > 4U; k >>= 2U) + { + /* Initializations for the first stage */ + n1 = n2; + n2 >>= 2U; + ia1 = 0U; + + /* Calculation of first stage */ + for (j = 0U; j <= (n2 - 1U); j++) + { + /* index calculation for the coefficients */ + ia2 = ia1 + ia1; + ia3 = ia2 + ia1; + co1 = pCoef[ia1 * 2U]; + si1 = pCoef[(ia1 * 2U) + 1U]; + co2 = pCoef[ia2 * 2U]; + si2 = pCoef[(ia2 * 2U) + 1U]; + co3 = pCoef[ia3 * 2U]; + si3 = pCoef[(ia3 * 2U) + 1U]; + /* Twiddle coefficients index modifier */ + ia1 = ia1 + twidCoefModifier; + + for (i0 = j; i0 < fftLen; i0 += n1) + { + /* index calculation for the input as, */ + /* pSrc[i0 + 0], pSrc[i0 + fftLen/4], pSrc[i0 + fftLen/2U], pSrc[i0 + 3fftLen/4] */ + i1 = i0 + n2; + i2 = i1 + n2; + i3 = i2 + n2; + + /* Butterfly implementation */ + /* xa + xc */ + r1 = pSrc[2U * i0] + pSrc[2U * i2]; + /* xa - xc */ + r2 = pSrc[2U * i0] - pSrc[2U * i2]; + + /* ya + yc */ + s1 = pSrc[(2U * i0) + 1U] + pSrc[(2U * i2) + 1U]; + /* ya - yc */ + s2 = pSrc[(2U * i0) + 1U] - pSrc[(2U * i2) + 1U]; + + /* xb + xd */ + t1 = pSrc[2U * i1] + pSrc[2U * i3]; + + /* xa' = xa + xb + xc + xd */ + pSrc[2U * i0] = (r1 + t1) >> 2U; + /* xa + xc -(xb + xd) */ + r1 = r1 - t1; + + /* yb + yd */ + t2 = pSrc[(2U * i1) + 1U] + pSrc[(2U * i3) + 1U]; + /* ya' = ya + yb + yc + yd */ + pSrc[(2U * i0) + 1U] = (s1 + t2) >> 2U; + + /* (ya + yc) - (yb + yd) */ + s1 = s1 - t2; + + /* (yb - yd) */ + t1 = pSrc[(2U * i1) + 1U] - pSrc[(2U * i3) + 1U]; + /* (xb - xd) */ + t2 = pSrc[2U * i1] - pSrc[2U * i3]; + + /* xc' = (xa-xb+xc-xd)co2 + (ya-yb+yc-yd)(si2) */ + pSrc[2U * i1] = (((int32_t) (((q63_t) r1 * co2) >> 32)) + + ((int32_t) (((q63_t) s1 * si2) >> 32))) >> 1U; + + /* yc' = (ya-yb+yc-yd)co2 - (xa-xb+xc-xd)(si2) */ + pSrc[(2U * i1) + 1U] = (((int32_t) (((q63_t) s1 * co2) >> 32)) - + ((int32_t) (((q63_t) r1 * si2) >> 32))) >> 1U; + + /* (xa - xc) + (yb - yd) */ + r1 = r2 + t1; + /* (xa - xc) - (yb - yd) */ + r2 = r2 - t1; + + /* (ya - yc) - (xb - xd) */ + s1 = s2 - t2; + /* (ya - yc) + (xb - xd) */ + s2 = s2 + t2; + + /* xb' = (xa+yb-xc-yd)co1 + (ya-xb-yc+xd)(si1) */ + pSrc[2U * i2] = (((int32_t) (((q63_t) r1 * co1) >> 32)) + + ((int32_t) (((q63_t) s1 * si1) >> 32))) >> 1U; + + /* yb' = (ya-xb-yc+xd)co1 - (xa+yb-xc-yd)(si1) */ + pSrc[(2U * i2) + 1U] = (((int32_t) (((q63_t) s1 * co1) >> 32)) - + ((int32_t) (((q63_t) r1 * si1) >> 32))) >> 1U; + + /* xd' = (xa-yb-xc+yd)co3 + (ya+xb-yc-xd)(si3) */ + pSrc[2U * i3] = (((int32_t) (((q63_t) r2 * co3) >> 32)) + + ((int32_t) (((q63_t) s2 * si3) >> 32))) >> 1U; + + /* yd' = (ya+xb-yc-xd)co3 - (xa-yb-xc+yd)(si3) */ + pSrc[(2U * i3) + 1U] = (((int32_t) (((q63_t) s2 * co3) >> 32)) - + ((int32_t) (((q63_t) r2 * si3) >> 32))) >> 1U; + } + } + twidCoefModifier <<= 2U; + } +#else + uint32_t n1, n2, ia1, ia2, ia3, i0, j, k; + q31_t t1, t2, r1, r2, s1, s2, co1, co2, co3, si1, si2, si3; + + q31_t xa, xb, xc, xd; + q31_t ya, yb, yc, yd; + q31_t xa_out, xb_out, xc_out, xd_out; + q31_t ya_out, yb_out, yc_out, yd_out; + + q31_t *ptr1; + q31_t *pSi0; + q31_t *pSi1; + q31_t *pSi2; + q31_t *pSi3; + q63_t xaya, xbyb, xcyc, xdyd; + /* Total process is divided into three stages */ + + /* process first stage, middle stages, & last stage */ + + + /* start of first stage process */ + + /* Initializations for the first stage */ + n2 = fftLen; + n1 = n2; + /* n2 = fftLen/4 */ + n2 >>= 2U; + + ia1 = 0U; + + j = n2; + + pSi0 = pSrc; + pSi1 = pSi0 + 2 * n2; + pSi2 = pSi1 + 2 * n2; + pSi3 = pSi2 + 2 * n2; + + /* Calculation of first stage */ + do + { + /* input is in 1.31(q31) format and provide 4 guard bits for the input */ + + /* Butterfly implementation */ + /* xa + xc */ + r1 = (pSi0[0] >> 4U) + (pSi2[0] >> 4U); + /* xa - xc */ + r2 = (pSi0[0] >> 4U) - (pSi2[0] >> 4U); + + /* xb + xd */ + t1 = (pSi1[0] >> 4U) + (pSi3[0] >> 4U); + + /* ya + yc */ + s1 = (pSi0[1] >> 4U) + (pSi2[1] >> 4U); + /* ya - yc */ + s2 = (pSi0[1] >> 4U) - (pSi2[1] >> 4U); + + /* xa' = xa + xb + xc + xd */ + *pSi0++ = (r1 + t1); + /* (xa + xc) - (xb + xd) */ + r1 = r1 - t1; + /* yb + yd */ + t2 = (pSi1[1] >> 4U) + (pSi3[1] >> 4U); + + /* ya' = ya + yb + yc + yd */ + *pSi0++ = (s1 + t2); + + /* (ya + yc) - (yb + yd) */ + s1 = s1 - t2; + + /* yb - yd */ + t1 = (pSi1[1] >> 4U) - (pSi3[1] >> 4U); + /* xb - xd */ + t2 = (pSi1[0] >> 4U) - (pSi3[0] >> 4U); + + /* index calculation for the coefficients */ + ia2 = 2U * ia1; + co2 = pCoef[ia2 * 2U]; + si2 = pCoef[(ia2 * 2U) + 1U]; + + /* xc' = (xa-xb+xc-xd)co2 + (ya-yb+yc-yd)(si2) */ + *pSi1++ = (((int32_t) (((q63_t) r1 * co2) >> 32)) + + ((int32_t) (((q63_t) s1 * si2) >> 32))) << 1U; + + /* yc' = (ya-yb+yc-yd)co2 - (xa-xb+xc-xd)(si2) */ + *pSi1++ = (((int32_t) (((q63_t) s1 * co2) >> 32)) - + ((int32_t) (((q63_t) r1 * si2) >> 32))) << 1U; + + /* (xa - xc) + (yb - yd) */ + r1 = r2 + t1; + /* (xa - xc) - (yb - yd) */ + r2 = r2 - t1; + + /* (ya - yc) - (xb - xd) */ + s1 = s2 - t2; + /* (ya - yc) + (xb - xd) */ + s2 = s2 + t2; + + co1 = pCoef[ia1 * 2U]; + si1 = pCoef[(ia1 * 2U) + 1U]; + + /* xb' = (xa+yb-xc-yd)co1 + (ya-xb-yc+xd)(si1) */ + *pSi2++ = (((int32_t) (((q63_t) r1 * co1) >> 32)) + + ((int32_t) (((q63_t) s1 * si1) >> 32))) << 1U; + + /* yb' = (ya-xb-yc+xd)co1 - (xa+yb-xc-yd)(si1) */ + *pSi2++ = (((int32_t) (((q63_t) s1 * co1) >> 32)) - + ((int32_t) (((q63_t) r1 * si1) >> 32))) << 1U; + + /* index calculation for the coefficients */ + ia3 = 3U * ia1; + co3 = pCoef[ia3 * 2U]; + si3 = pCoef[(ia3 * 2U) + 1U]; + + /* xd' = (xa-yb-xc+yd)co3 + (ya+xb-yc-xd)(si3) */ + *pSi3++ = (((int32_t) (((q63_t) r2 * co3) >> 32)) + + ((int32_t) (((q63_t) s2 * si3) >> 32))) << 1U; + + /* yd' = (ya+xb-yc-xd)co3 - (xa-yb-xc+yd)(si3) */ + *pSi3++ = (((int32_t) (((q63_t) s2 * co3) >> 32)) - + ((int32_t) (((q63_t) r2 * si3) >> 32))) << 1U; + + /* Twiddle coefficients index modifier */ + ia1 = ia1 + twidCoefModifier; + + } while (--j); + + /* end of first stage process */ + + /* data is in 5.27(q27) format */ + + + /* start of Middle stages process */ + + + /* each stage in middle stages provides two down scaling of the input */ + + twidCoefModifier <<= 2U; + + + for (k = fftLen / 4U; k > 4U; k >>= 2U) + { + /* Initializations for the first stage */ + n1 = n2; + n2 >>= 2U; + ia1 = 0U; + + /* Calculation of first stage */ + for (j = 0U; j <= (n2 - 1U); j++) + { + /* index calculation for the coefficients */ + ia2 = ia1 + ia1; + ia3 = ia2 + ia1; + co1 = pCoef[ia1 * 2U]; + si1 = pCoef[(ia1 * 2U) + 1U]; + co2 = pCoef[ia2 * 2U]; + si2 = pCoef[(ia2 * 2U) + 1U]; + co3 = pCoef[ia3 * 2U]; + si3 = pCoef[(ia3 * 2U) + 1U]; + /* Twiddle coefficients index modifier */ + ia1 = ia1 + twidCoefModifier; + + pSi0 = pSrc + 2 * j; + pSi1 = pSi0 + 2 * n2; + pSi2 = pSi1 + 2 * n2; + pSi3 = pSi2 + 2 * n2; + + for (i0 = j; i0 < fftLen; i0 += n1) + { + /* Butterfly implementation */ + /* xa + xc */ + r1 = pSi0[0] + pSi2[0]; + + /* xa - xc */ + r2 = pSi0[0] - pSi2[0]; + + + /* ya + yc */ + s1 = pSi0[1] + pSi2[1]; + + /* ya - yc */ + s2 = pSi0[1] - pSi2[1]; + + + /* xb + xd */ + t1 = pSi1[0] + pSi3[0]; + + + /* xa' = xa + xb + xc + xd */ + pSi0[0] = (r1 + t1) >> 2U; + /* xa + xc -(xb + xd) */ + r1 = r1 - t1; + + /* yb + yd */ + t2 = pSi1[1] + pSi3[1]; + + /* ya' = ya + yb + yc + yd */ + pSi0[1] = (s1 + t2) >> 2U; + pSi0 += 2 * n1; + + /* (ya + yc) - (yb + yd) */ + s1 = s1 - t2; + + /* (yb - yd) */ + t1 = pSi1[1] - pSi3[1]; + + /* (xb - xd) */ + t2 = pSi1[0] - pSi3[0]; + + + /* xc' = (xa-xb+xc-xd)co2 + (ya-yb+yc-yd)(si2) */ + pSi1[0] = (((int32_t) (((q63_t) r1 * co2) >> 32)) + + ((int32_t) (((q63_t) s1 * si2) >> 32))) >> 1U; + + /* yc' = (ya-yb+yc-yd)co2 - (xa-xb+xc-xd)(si2) */ + pSi1[1] = (((int32_t) (((q63_t) s1 * co2) >> 32)) - + ((int32_t) (((q63_t) r1 * si2) >> 32))) >> 1U; + pSi1 += 2 * n1; + + /* (xa - xc) + (yb - yd) */ + r1 = r2 + t1; + /* (xa - xc) - (yb - yd) */ + r2 = r2 - t1; + + /* (ya - yc) - (xb - xd) */ + s1 = s2 - t2; + /* (ya - yc) + (xb - xd) */ + s2 = s2 + t2; + + /* xb' = (xa+yb-xc-yd)co1 + (ya-xb-yc+xd)(si1) */ + pSi2[0] = (((int32_t) (((q63_t) r1 * co1) >> 32)) + + ((int32_t) (((q63_t) s1 * si1) >> 32))) >> 1U; + + /* yb' = (ya-xb-yc+xd)co1 - (xa+yb-xc-yd)(si1) */ + pSi2[1] = (((int32_t) (((q63_t) s1 * co1) >> 32)) - + ((int32_t) (((q63_t) r1 * si1) >> 32))) >> 1U; + pSi2 += 2 * n1; + + /* xd' = (xa-yb-xc+yd)co3 + (ya+xb-yc-xd)(si3) */ + pSi3[0] = (((int32_t) (((q63_t) r2 * co3) >> 32)) + + ((int32_t) (((q63_t) s2 * si3) >> 32))) >> 1U; + + /* yd' = (ya+xb-yc-xd)co3 - (xa-yb-xc+yd)(si3) */ + pSi3[1] = (((int32_t) (((q63_t) s2 * co3) >> 32)) - + ((int32_t) (((q63_t) r2 * si3) >> 32))) >> 1U; + pSi3 += 2 * n1; + } + } + twidCoefModifier <<= 2U; + } +#endif + + /* End of Middle stages process */ + + /* data is in 11.21(q21) format for the 1024 point as there are 3 middle stages */ + /* data is in 9.23(q23) format for the 256 point as there are 2 middle stages */ + /* data is in 7.25(q25) format for the 64 point as there are 1 middle stage */ + /* data is in 5.27(q27) format for the 16 point as there are no middle stages */ + + + /* start of Last stage process */ + /* Initializations for the last stage */ + j = fftLen >> 2; + ptr1 = &pSrc[0]; + + /* Calculations of last stage */ + do + { + +#ifndef ARM_MATH_BIG_ENDIAN + + /* Read xa (real), ya(imag) input */ + xaya = *__SIMD64(ptr1)++; + xa = (q31_t) xaya; + ya = (q31_t) (xaya >> 32); + + /* Read xb (real), yb(imag) input */ + xbyb = *__SIMD64(ptr1)++; + xb = (q31_t) xbyb; + yb = (q31_t) (xbyb >> 32); + + /* Read xc (real), yc(imag) input */ + xcyc = *__SIMD64(ptr1)++; + xc = (q31_t) xcyc; + yc = (q31_t) (xcyc >> 32); + + /* Read xc (real), yc(imag) input */ + xdyd = *__SIMD64(ptr1)++; + xd = (q31_t) xdyd; + yd = (q31_t) (xdyd >> 32); + +#else + + /* Read xa (real), ya(imag) input */ + xaya = *__SIMD64(ptr1)++; + ya = (q31_t) xaya; + xa = (q31_t) (xaya >> 32); + + /* Read xb (real), yb(imag) input */ + xbyb = *__SIMD64(ptr1)++; + yb = (q31_t) xbyb; + xb = (q31_t) (xbyb >> 32); + + /* Read xc (real), yc(imag) input */ + xcyc = *__SIMD64(ptr1)++; + yc = (q31_t) xcyc; + xc = (q31_t) (xcyc >> 32); + + /* Read xc (real), yc(imag) input */ + xdyd = *__SIMD64(ptr1)++; + yd = (q31_t) xdyd; + xd = (q31_t) (xdyd >> 32); + + +#endif + + /* xa' = xa + xb + xc + xd */ + xa_out = xa + xb + xc + xd; + + /* ya' = ya + yb + yc + yd */ + ya_out = ya + yb + yc + yd; + + /* pointer updation for writing */ + ptr1 = ptr1 - 8U; + + /* writing xa' and ya' */ + *ptr1++ = xa_out; + *ptr1++ = ya_out; + + xc_out = (xa - xb + xc - xd); + yc_out = (ya - yb + yc - yd); + + /* writing xc' and yc' */ + *ptr1++ = xc_out; + *ptr1++ = yc_out; + + xb_out = (xa + yb - xc - yd); + yb_out = (ya - xb - yc + xd); + + /* writing xb' and yb' */ + *ptr1++ = xb_out; + *ptr1++ = yb_out; + + xd_out = (xa - yb - xc + yd); + yd_out = (ya + xb - yc - xd); + + /* writing xd' and yd' */ + *ptr1++ = xd_out; + *ptr1++ = yd_out; + + + } while (--j); + + /* output is in 11.21(q21) format for the 1024 point */ + /* output is in 9.23(q23) format for the 256 point */ + /* output is in 7.25(q25) format for the 64 point */ + /* output is in 5.27(q27) format for the 16 point */ + + /* End of last stage process */ + +} + + +/** + * @brief Core function for the Q31 CIFFT butterfly process. + * @param[in, out] *pSrc points to the in-place buffer of Q31 data type. + * @param[in] fftLen length of the FFT. + * @param[in] *pCoef points to twiddle coefficient buffer. + * @param[in] twidCoefModifier twiddle coefficient modifier that supports different size FFTs with the same twiddle factor table. + * @return none. + */ + + +/* +* Radix-4 IFFT algorithm used is : +* +* CIFFT uses same twiddle coefficients as CFFT Function +* x[k] = x[n] + (j)k * x[n + fftLen/4] + (-1)k * x[n+fftLen/2] + (-j)k * x[n+3*fftLen/4] +* +* +* IFFT is implemented with following changes in equations from FFT +* +* Input real and imaginary data: +* x(n) = xa + j * ya +* x(n+N/4 ) = xb + j * yb +* x(n+N/2 ) = xc + j * yc +* x(n+3N 4) = xd + j * yd +* +* +* Output real and imaginary data: +* x(4r) = xa'+ j * ya' +* x(4r+1) = xb'+ j * yb' +* x(4r+2) = xc'+ j * yc' +* x(4r+3) = xd'+ j * yd' +* +* +* Twiddle factors for radix-4 IFFT: +* Wn = co1 + j * (si1) +* W2n = co2 + j * (si2) +* W3n = co3 + j * (si3) + +* The real and imaginary output values for the radix-4 butterfly are +* xa' = xa + xb + xc + xd +* ya' = ya + yb + yc + yd +* xb' = (xa-yb-xc+yd)* co1 - (ya+xb-yc-xd)* (si1) +* yb' = (ya+xb-yc-xd)* co1 + (xa-yb-xc+yd)* (si1) +* xc' = (xa-xb+xc-xd)* co2 - (ya-yb+yc-yd)* (si2) +* yc' = (ya-yb+yc-yd)* co2 + (xa-xb+xc-xd)* (si2) +* xd' = (xa+yb-xc-yd)* co3 - (ya-xb-yc+xd)* (si3) +* yd' = (ya-xb-yc+xd)* co3 + (xa+yb-xc-yd)* (si3) +* +*/ + +void arm_radix4_butterfly_inverse_q31( + q31_t * pSrc, + uint32_t fftLen, + q31_t * pCoef, + uint32_t twidCoefModifier) +{ +#if defined(ARM_MATH_CM7) + uint32_t n1, n2, ia1, ia2, ia3, i0, i1, i2, i3, j, k; + q31_t t1, t2, r1, r2, s1, s2, co1, co2, co3, si1, si2, si3; + q31_t xa, xb, xc, xd; + q31_t ya, yb, yc, yd; + q31_t xa_out, xb_out, xc_out, xd_out; + q31_t ya_out, yb_out, yc_out, yd_out; + + q31_t *ptr1; + q63_t xaya, xbyb, xcyc, xdyd; + + /* input is be 1.31(q31) format for all FFT sizes */ + /* Total process is divided into three stages */ + /* process first stage, middle stages, & last stage */ + + /* Start of first stage process */ + + /* Initializations for the first stage */ + n2 = fftLen; + n1 = n2; + /* n2 = fftLen/4 */ + n2 >>= 2U; + i0 = 0U; + ia1 = 0U; + + j = n2; + + do + { + + /* input is in 1.31(q31) format and provide 4 guard bits for the input */ + + /* index calculation for the input as, */ + /* pSrc[i0 + 0], pSrc[i0 + fftLen/4], pSrc[i0 + fftLen/2U], pSrc[i0 + 3fftLen/4] */ + i1 = i0 + n2; + i2 = i1 + n2; + i3 = i2 + n2; + + /* Butterfly implementation */ + /* xa + xc */ + r1 = (pSrc[2U * i0] >> 4U) + (pSrc[2U * i2] >> 4U); + /* xa - xc */ + r2 = (pSrc[2U * i0] >> 4U) - (pSrc[2U * i2] >> 4U); + + /* xb + xd */ + t1 = (pSrc[2U * i1] >> 4U) + (pSrc[2U * i3] >> 4U); + + /* ya + yc */ + s1 = (pSrc[(2U * i0) + 1U] >> 4U) + (pSrc[(2U * i2) + 1U] >> 4U); + /* ya - yc */ + s2 = (pSrc[(2U * i0) + 1U] >> 4U) - (pSrc[(2U * i2) + 1U] >> 4U); + + /* xa' = xa + xb + xc + xd */ + pSrc[2U * i0] = (r1 + t1); + /* (xa + xc) - (xb + xd) */ + r1 = r1 - t1; + /* yb + yd */ + t2 = (pSrc[(2U * i1) + 1U] >> 4U) + (pSrc[(2U * i3) + 1U] >> 4U); + /* ya' = ya + yb + yc + yd */ + pSrc[(2U * i0) + 1U] = (s1 + t2); + + /* (ya + yc) - (yb + yd) */ + s1 = s1 - t2; + + /* yb - yd */ + t1 = (pSrc[(2U * i1) + 1U] >> 4U) - (pSrc[(2U * i3) + 1U] >> 4U); + /* xb - xd */ + t2 = (pSrc[2U * i1] >> 4U) - (pSrc[2U * i3] >> 4U); + + /* index calculation for the coefficients */ + ia2 = 2U * ia1; + co2 = pCoef[ia2 * 2U]; + si2 = pCoef[(ia2 * 2U) + 1U]; + + /* xc' = (xa-xb+xc-xd)co2 - (ya-yb+yc-yd)(si2) */ + pSrc[2U * i1] = (((int32_t) (((q63_t) r1 * co2) >> 32)) - + ((int32_t) (((q63_t) s1 * si2) >> 32))) << 1U; + + /* yc' = (ya-yb+yc-yd)co2 + (xa-xb+xc-xd)(si2) */ + pSrc[2U * i1 + 1U] = (((int32_t) (((q63_t) s1 * co2) >> 32)) + + ((int32_t) (((q63_t) r1 * si2) >> 32))) << 1U; + + /* (xa - xc) - (yb - yd) */ + r1 = r2 - t1; + /* (xa - xc) + (yb - yd) */ + r2 = r2 + t1; + + /* (ya - yc) + (xb - xd) */ + s1 = s2 + t2; + /* (ya - yc) - (xb - xd) */ + s2 = s2 - t2; + + co1 = pCoef[ia1 * 2U]; + si1 = pCoef[(ia1 * 2U) + 1U]; + + /* xb' = (xa+yb-xc-yd)co1 - (ya-xb-yc+xd)(si1) */ + pSrc[2U * i2] = (((int32_t) (((q63_t) r1 * co1) >> 32)) - + ((int32_t) (((q63_t) s1 * si1) >> 32))) << 1U; + + /* yb' = (ya-xb-yc+xd)co1 + (xa+yb-xc-yd)(si1) */ + pSrc[(2U * i2) + 1U] = (((int32_t) (((q63_t) s1 * co1) >> 32)) + + ((int32_t) (((q63_t) r1 * si1) >> 32))) << 1U; + + /* index calculation for the coefficients */ + ia3 = 3U * ia1; + co3 = pCoef[ia3 * 2U]; + si3 = pCoef[(ia3 * 2U) + 1U]; + + /* xd' = (xa-yb-xc+yd)co3 - (ya+xb-yc-xd)(si3) */ + pSrc[2U * i3] = (((int32_t) (((q63_t) r2 * co3) >> 32)) - + ((int32_t) (((q63_t) s2 * si3) >> 32))) << 1U; + + /* yd' = (ya+xb-yc-xd)co3 + (xa-yb-xc+yd)(si3) */ + pSrc[(2U * i3) + 1U] = (((int32_t) (((q63_t) s2 * co3) >> 32)) + + ((int32_t) (((q63_t) r2 * si3) >> 32))) << 1U; + + /* Twiddle coefficients index modifier */ + ia1 = ia1 + twidCoefModifier; + + /* Updating input index */ + i0 = i0 + 1U; + + } while (--j); + + /* data is in 5.27(q27) format */ + /* each stage provides two down scaling of the input */ + + + /* Start of Middle stages process */ + + twidCoefModifier <<= 2U; + + /* Calculation of second stage to excluding last stage */ + for (k = fftLen / 4U; k > 4U; k >>= 2U) + { + /* Initializations for the first stage */ + n1 = n2; + n2 >>= 2U; + ia1 = 0U; + + for (j = 0; j <= (n2 - 1U); j++) + { + /* index calculation for the coefficients */ + ia2 = ia1 + ia1; + ia3 = ia2 + ia1; + co1 = pCoef[ia1 * 2U]; + si1 = pCoef[(ia1 * 2U) + 1U]; + co2 = pCoef[ia2 * 2U]; + si2 = pCoef[(ia2 * 2U) + 1U]; + co3 = pCoef[ia3 * 2U]; + si3 = pCoef[(ia3 * 2U) + 1U]; + /* Twiddle coefficients index modifier */ + ia1 = ia1 + twidCoefModifier; + + for (i0 = j; i0 < fftLen; i0 += n1) + { + /* index calculation for the input as, */ + /* pSrc[i0 + 0], pSrc[i0 + fftLen/4], pSrc[i0 + fftLen/2U], pSrc[i0 + 3fftLen/4] */ + i1 = i0 + n2; + i2 = i1 + n2; + i3 = i2 + n2; + + /* Butterfly implementation */ + /* xa + xc */ + r1 = pSrc[2U * i0] + pSrc[2U * i2]; + /* xa - xc */ + r2 = pSrc[2U * i0] - pSrc[2U * i2]; + + /* ya + yc */ + s1 = pSrc[(2U * i0) + 1U] + pSrc[(2U * i2) + 1U]; + /* ya - yc */ + s2 = pSrc[(2U * i0) + 1U] - pSrc[(2U * i2) + 1U]; + + /* xb + xd */ + t1 = pSrc[2U * i1] + pSrc[2U * i3]; + + /* xa' = xa + xb + xc + xd */ + pSrc[2U * i0] = (r1 + t1) >> 2U; + /* xa + xc -(xb + xd) */ + r1 = r1 - t1; + /* yb + yd */ + t2 = pSrc[(2U * i1) + 1U] + pSrc[(2U * i3) + 1U]; + /* ya' = ya + yb + yc + yd */ + pSrc[(2U * i0) + 1U] = (s1 + t2) >> 2U; + + /* (ya + yc) - (yb + yd) */ + s1 = s1 - t2; + + /* (yb - yd) */ + t1 = pSrc[(2U * i1) + 1U] - pSrc[(2U * i3) + 1U]; + /* (xb - xd) */ + t2 = pSrc[2U * i1] - pSrc[2U * i3]; + + /* xc' = (xa-xb+xc-xd)co2 - (ya-yb+yc-yd)(si2) */ + pSrc[2U * i1] = (((int32_t) (((q63_t) r1 * co2) >> 32U)) - + ((int32_t) (((q63_t) s1 * si2) >> 32U))) >> 1U; + + /* yc' = (ya-yb+yc-yd)co2 + (xa-xb+xc-xd)(si2) */ + pSrc[(2U * i1) + 1U] = + (((int32_t) (((q63_t) s1 * co2) >> 32U)) + + ((int32_t) (((q63_t) r1 * si2) >> 32U))) >> 1U; + + /* (xa - xc) - (yb - yd) */ + r1 = r2 - t1; + /* (xa - xc) + (yb - yd) */ + r2 = r2 + t1; + + /* (ya - yc) + (xb - xd) */ + s1 = s2 + t2; + /* (ya - yc) - (xb - xd) */ + s2 = s2 - t2; + + /* xb' = (xa+yb-xc-yd)co1 - (ya-xb-yc+xd)(si1) */ + pSrc[2U * i2] = (((int32_t) (((q63_t) r1 * co1) >> 32)) - + ((int32_t) (((q63_t) s1 * si1) >> 32))) >> 1U; + + /* yb' = (ya-xb-yc+xd)co1 + (xa+yb-xc-yd)(si1) */ + pSrc[(2U * i2) + 1U] = (((int32_t) (((q63_t) s1 * co1) >> 32)) + + ((int32_t) (((q63_t) r1 * si1) >> 32))) >> 1U; + + /* xd' = (xa-yb-xc+yd)co3 - (ya+xb-yc-xd)(si3) */ + pSrc[(2U * i3)] = (((int32_t) (((q63_t) r2 * co3) >> 32)) - + ((int32_t) (((q63_t) s2 * si3) >> 32))) >> 1U; + + /* yd' = (ya+xb-yc-xd)co3 + (xa-yb-xc+yd)(si3) */ + pSrc[(2U * i3) + 1U] = (((int32_t) (((q63_t) s2 * co3) >> 32)) + + ((int32_t) (((q63_t) r2 * si3) >> 32))) >> 1U; + } + } + twidCoefModifier <<= 2U; + } +#else + uint32_t n1, n2, ia1, ia2, ia3, i0, j, k; + q31_t t1, t2, r1, r2, s1, s2, co1, co2, co3, si1, si2, si3; + q31_t xa, xb, xc, xd; + q31_t ya, yb, yc, yd; + q31_t xa_out, xb_out, xc_out, xd_out; + q31_t ya_out, yb_out, yc_out, yd_out; + + q31_t *ptr1; + q31_t *pSi0; + q31_t *pSi1; + q31_t *pSi2; + q31_t *pSi3; + q63_t xaya, xbyb, xcyc, xdyd; + + /* input is be 1.31(q31) format for all FFT sizes */ + /* Total process is divided into three stages */ + /* process first stage, middle stages, & last stage */ + + /* Start of first stage process */ + + /* Initializations for the first stage */ + n2 = fftLen; + n1 = n2; + /* n2 = fftLen/4 */ + n2 >>= 2U; + + ia1 = 0U; + + j = n2; + + pSi0 = pSrc; + pSi1 = pSi0 + 2 * n2; + pSi2 = pSi1 + 2 * n2; + pSi3 = pSi2 + 2 * n2; + + do + { + /* Butterfly implementation */ + /* xa + xc */ + r1 = (pSi0[0] >> 4U) + (pSi2[0] >> 4U); + /* xa - xc */ + r2 = (pSi0[0] >> 4U) - (pSi2[0] >> 4U); + + /* xb + xd */ + t1 = (pSi1[0] >> 4U) + (pSi3[0] >> 4U); + + /* ya + yc */ + s1 = (pSi0[1] >> 4U) + (pSi2[1] >> 4U); + /* ya - yc */ + s2 = (pSi0[1] >> 4U) - (pSi2[1] >> 4U); + + /* xa' = xa + xb + xc + xd */ + *pSi0++ = (r1 + t1); + /* (xa + xc) - (xb + xd) */ + r1 = r1 - t1; + /* yb + yd */ + t2 = (pSi1[1] >> 4U) + (pSi3[1] >> 4U); + /* ya' = ya + yb + yc + yd */ + *pSi0++ = (s1 + t2); + + /* (ya + yc) - (yb + yd) */ + s1 = s1 - t2; + + /* yb - yd */ + t1 = (pSi1[1] >> 4U) - (pSi3[1] >> 4U); + /* xb - xd */ + t2 = (pSi1[0] >> 4U) - (pSi3[0] >> 4U); + + /* index calculation for the coefficients */ + ia2 = 2U * ia1; + co2 = pCoef[ia2 * 2U]; + si2 = pCoef[(ia2 * 2U) + 1U]; + + /* xc' = (xa-xb+xc-xd)co2 - (ya-yb+yc-yd)(si2) */ + *pSi1++ = (((int32_t) (((q63_t) r1 * co2) >> 32)) - + ((int32_t) (((q63_t) s1 * si2) >> 32))) << 1U; + + /* yc' = (ya-yb+yc-yd)co2 + (xa-xb+xc-xd)(si2) */ + *pSi1++ = (((int32_t) (((q63_t) s1 * co2) >> 32)) + + ((int32_t) (((q63_t) r1 * si2) >> 32))) << 1U; + + /* (xa - xc) - (yb - yd) */ + r1 = r2 - t1; + /* (xa - xc) + (yb - yd) */ + r2 = r2 + t1; + + /* (ya - yc) + (xb - xd) */ + s1 = s2 + t2; + /* (ya - yc) - (xb - xd) */ + s2 = s2 - t2; + + co1 = pCoef[ia1 * 2U]; + si1 = pCoef[(ia1 * 2U) + 1U]; + + /* xb' = (xa+yb-xc-yd)co1 - (ya-xb-yc+xd)(si1) */ + *pSi2++ = (((int32_t) (((q63_t) r1 * co1) >> 32)) - + ((int32_t) (((q63_t) s1 * si1) >> 32))) << 1U; + + /* yb' = (ya-xb-yc+xd)co1 + (xa+yb-xc-yd)(si1) */ + *pSi2++ = (((int32_t) (((q63_t) s1 * co1) >> 32)) + + ((int32_t) (((q63_t) r1 * si1) >> 32))) << 1U; + + /* index calculation for the coefficients */ + ia3 = 3U * ia1; + co3 = pCoef[ia3 * 2U]; + si3 = pCoef[(ia3 * 2U) + 1U]; + + /* xd' = (xa-yb-xc+yd)co3 - (ya+xb-yc-xd)(si3) */ + *pSi3++ = (((int32_t) (((q63_t) r2 * co3) >> 32)) - + ((int32_t) (((q63_t) s2 * si3) >> 32))) << 1U; + + /* yd' = (ya+xb-yc-xd)co3 + (xa-yb-xc+yd)(si3) */ + *pSi3++ = (((int32_t) (((q63_t) s2 * co3) >> 32)) + + ((int32_t) (((q63_t) r2 * si3) >> 32))) << 1U; + + /* Twiddle coefficients index modifier */ + ia1 = ia1 + twidCoefModifier; + + } while (--j); + + /* data is in 5.27(q27) format */ + /* each stage provides two down scaling of the input */ + + + /* Start of Middle stages process */ + + twidCoefModifier <<= 2U; + + /* Calculation of second stage to excluding last stage */ + for (k = fftLen / 4U; k > 4U; k >>= 2U) + { + /* Initializations for the first stage */ + n1 = n2; + n2 >>= 2U; + ia1 = 0U; + + for (j = 0; j <= (n2 - 1U); j++) + { + /* index calculation for the coefficients */ + ia2 = ia1 + ia1; + ia3 = ia2 + ia1; + co1 = pCoef[ia1 * 2U]; + si1 = pCoef[(ia1 * 2U) + 1U]; + co2 = pCoef[ia2 * 2U]; + si2 = pCoef[(ia2 * 2U) + 1U]; + co3 = pCoef[ia3 * 2U]; + si3 = pCoef[(ia3 * 2U) + 1U]; + /* Twiddle coefficients index modifier */ + ia1 = ia1 + twidCoefModifier; + + pSi0 = pSrc + 2 * j; + pSi1 = pSi0 + 2 * n2; + pSi2 = pSi1 + 2 * n2; + pSi3 = pSi2 + 2 * n2; + + for (i0 = j; i0 < fftLen; i0 += n1) + { + /* Butterfly implementation */ + /* xa + xc */ + r1 = pSi0[0] + pSi2[0]; + + /* xa - xc */ + r2 = pSi0[0] - pSi2[0]; + + + /* ya + yc */ + s1 = pSi0[1] + pSi2[1]; + + /* ya - yc */ + s2 = pSi0[1] - pSi2[1]; + + + /* xb + xd */ + t1 = pSi1[0] + pSi3[0]; + + + /* xa' = xa + xb + xc + xd */ + pSi0[0] = (r1 + t1) >> 2U; + /* xa + xc -(xb + xd) */ + r1 = r1 - t1; + /* yb + yd */ + t2 = pSi1[1] + pSi3[1]; + + /* ya' = ya + yb + yc + yd */ + pSi0[1] = (s1 + t2) >> 2U; + pSi0 += 2 * n1; + + /* (ya + yc) - (yb + yd) */ + s1 = s1 - t2; + + /* (yb - yd) */ + t1 = pSi1[1] - pSi3[1]; + + /* (xb - xd) */ + t2 = pSi1[0] - pSi3[0]; + + + /* xc' = (xa-xb+xc-xd)co2 - (ya-yb+yc-yd)(si2) */ + pSi1[0] = (((int32_t) (((q63_t) r1 * co2) >> 32U)) - + ((int32_t) (((q63_t) s1 * si2) >> 32U))) >> 1U; + + /* yc' = (ya-yb+yc-yd)co2 + (xa-xb+xc-xd)(si2) */ + pSi1[1] = + + (((int32_t) (((q63_t) s1 * co2) >> 32U)) + + ((int32_t) (((q63_t) r1 * si2) >> 32U))) >> 1U; + pSi1 += 2 * n1; + + /* (xa - xc) - (yb - yd) */ + r1 = r2 - t1; + /* (xa - xc) + (yb - yd) */ + r2 = r2 + t1; + + /* (ya - yc) + (xb - xd) */ + s1 = s2 + t2; + /* (ya - yc) - (xb - xd) */ + s2 = s2 - t2; + + /* xb' = (xa+yb-xc-yd)co1 - (ya-xb-yc+xd)(si1) */ + pSi2[0] = (((int32_t) (((q63_t) r1 * co1) >> 32)) - + ((int32_t) (((q63_t) s1 * si1) >> 32))) >> 1U; + + /* yb' = (ya-xb-yc+xd)co1 + (xa+yb-xc-yd)(si1) */ + pSi2[1] = (((int32_t) (((q63_t) s1 * co1) >> 32)) + + ((int32_t) (((q63_t) r1 * si1) >> 32))) >> 1U; + pSi2 += 2 * n1; + + /* xd' = (xa-yb-xc+yd)co3 - (ya+xb-yc-xd)(si3) */ + pSi3[0] = (((int32_t) (((q63_t) r2 * co3) >> 32)) - + ((int32_t) (((q63_t) s2 * si3) >> 32))) >> 1U; + + /* yd' = (ya+xb-yc-xd)co3 + (xa-yb-xc+yd)(si3) */ + pSi3[1] = (((int32_t) (((q63_t) s2 * co3) >> 32)) + + ((int32_t) (((q63_t) r2 * si3) >> 32))) >> 1U; + pSi3 += 2 * n1; + } + } + twidCoefModifier <<= 2U; + } +#endif + + /* End of Middle stages process */ + + /* data is in 11.21(q21) format for the 1024 point as there are 3 middle stages */ + /* data is in 9.23(q23) format for the 256 point as there are 2 middle stages */ + /* data is in 7.25(q25) format for the 64 point as there are 1 middle stage */ + /* data is in 5.27(q27) format for the 16 point as there are no middle stages */ + + + /* Start of last stage process */ + + + /* Initializations for the last stage */ + j = fftLen >> 2; + ptr1 = &pSrc[0]; + + /* Calculations of last stage */ + do + { +#ifndef ARM_MATH_BIG_ENDIAN + /* Read xa (real), ya(imag) input */ + xaya = *__SIMD64(ptr1)++; + xa = (q31_t) xaya; + ya = (q31_t) (xaya >> 32); + + /* Read xb (real), yb(imag) input */ + xbyb = *__SIMD64(ptr1)++; + xb = (q31_t) xbyb; + yb = (q31_t) (xbyb >> 32); + + /* Read xc (real), yc(imag) input */ + xcyc = *__SIMD64(ptr1)++; + xc = (q31_t) xcyc; + yc = (q31_t) (xcyc >> 32); + + /* Read xc (real), yc(imag) input */ + xdyd = *__SIMD64(ptr1)++; + xd = (q31_t) xdyd; + yd = (q31_t) (xdyd >> 32); + +#else + + /* Read xa (real), ya(imag) input */ + xaya = *__SIMD64(ptr1)++; + ya = (q31_t) xaya; + xa = (q31_t) (xaya >> 32); + + /* Read xb (real), yb(imag) input */ + xbyb = *__SIMD64(ptr1)++; + yb = (q31_t) xbyb; + xb = (q31_t) (xbyb >> 32); + + /* Read xc (real), yc(imag) input */ + xcyc = *__SIMD64(ptr1)++; + yc = (q31_t) xcyc; + xc = (q31_t) (xcyc >> 32); + + /* Read xc (real), yc(imag) input */ + xdyd = *__SIMD64(ptr1)++; + yd = (q31_t) xdyd; + xd = (q31_t) (xdyd >> 32); + + +#endif + + /* xa' = xa + xb + xc + xd */ + xa_out = xa + xb + xc + xd; + + /* ya' = ya + yb + yc + yd */ + ya_out = ya + yb + yc + yd; + + /* pointer updation for writing */ + ptr1 = ptr1 - 8U; + + /* writing xa' and ya' */ + *ptr1++ = xa_out; + *ptr1++ = ya_out; + + xc_out = (xa - xb + xc - xd); + yc_out = (ya - yb + yc - yd); + + /* writing xc' and yc' */ + *ptr1++ = xc_out; + *ptr1++ = yc_out; + + xb_out = (xa - yb - xc + yd); + yb_out = (ya + xb - yc - xd); + + /* writing xb' and yb' */ + *ptr1++ = xb_out; + *ptr1++ = yb_out; + + xd_out = (xa + yb - xc - yd); + yd_out = (ya - xb - yc + xd); + + /* writing xd' and yd' */ + *ptr1++ = xd_out; + *ptr1++ = yd_out; + + } while (--j); + + /* output is in 11.21(q21) format for the 1024 point */ + /* output is in 9.23(q23) format for the 256 point */ + /* output is in 7.25(q25) format for the 64 point */ + /* output is in 5.27(q27) format for the 16 point */ + + /* End of last stage process */ +} diff --git a/fw/hid-dials/Drivers/CMSIS/DSP/Source/TransformFunctions/arm_cfft_radix8_f32.c b/fw/hid-dials/Drivers/CMSIS/DSP/Source/TransformFunctions/arm_cfft_radix8_f32.c new file mode 100644 index 0000000..69ed5a6 --- /dev/null +++ b/fw/hid-dials/Drivers/CMSIS/DSP/Source/TransformFunctions/arm_cfft_radix8_f32.c @@ -0,0 +1,285 @@ +/* ---------------------------------------------------------------------- + * Project: CMSIS DSP Library + * Title: arm_cfft_radix8_f32.c + * Description: Radix-8 Decimation in Frequency CFFT & CIFFT Floating point processing function + * + * $Date: 27. January 2017 + * $Revision: V.1.5.1 + * + * Target Processor: Cortex-M cores + * -------------------------------------------------------------------- */ +/* + * Copyright (C) 2010-2017 ARM Limited or its affiliates. All rights reserved. + * + * SPDX-License-Identifier: Apache-2.0 + * + * Licensed under the Apache License, Version 2.0 (the License); you may + * not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an AS IS BASIS, WITHOUT + * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ + +#include "arm_math.h" + + +/* ---------------------------------------------------------------------- + * Internal helper function used by the FFTs + * -------------------------------------------------------------------- */ + +/* +* @brief Core function for the floating-point CFFT butterfly process. +* @param[in, out] *pSrc points to the in-place buffer of floating-point data type. +* @param[in] fftLen length of the FFT. +* @param[in] *pCoef points to the twiddle coefficient buffer. +* @param[in] twidCoefModifier twiddle coefficient modifier that supports different size FFTs with the same twiddle factor table. +* @return none. +*/ + +void arm_radix8_butterfly_f32( +float32_t * pSrc, +uint16_t fftLen, +const float32_t * pCoef, +uint16_t twidCoefModifier) +{ + uint32_t ia1, ia2, ia3, ia4, ia5, ia6, ia7; + uint32_t i1, i2, i3, i4, i5, i6, i7, i8; + uint32_t id; + uint32_t n1, n2, j; + + float32_t r1, r2, r3, r4, r5, r6, r7, r8; + float32_t t1, t2; + float32_t s1, s2, s3, s4, s5, s6, s7, s8; + float32_t p1, p2, p3, p4; + float32_t co2, co3, co4, co5, co6, co7, co8; + float32_t si2, si3, si4, si5, si6, si7, si8; + const float32_t C81 = 0.70710678118f; + + n2 = fftLen; + + do + { + n1 = n2; + n2 = n2 >> 3; + i1 = 0; + + do + { + i2 = i1 + n2; + i3 = i2 + n2; + i4 = i3 + n2; + i5 = i4 + n2; + i6 = i5 + n2; + i7 = i6 + n2; + i8 = i7 + n2; + r1 = pSrc[2 * i1] + pSrc[2 * i5]; + r5 = pSrc[2 * i1] - pSrc[2 * i5]; + r2 = pSrc[2 * i2] + pSrc[2 * i6]; + r6 = pSrc[2 * i2] - pSrc[2 * i6]; + r3 = pSrc[2 * i3] + pSrc[2 * i7]; + r7 = pSrc[2 * i3] - pSrc[2 * i7]; + r4 = pSrc[2 * i4] + pSrc[2 * i8]; + r8 = pSrc[2 * i4] - pSrc[2 * i8]; + t1 = r1 - r3; + r1 = r1 + r3; + r3 = r2 - r4; + r2 = r2 + r4; + pSrc[2 * i1] = r1 + r2; + pSrc[2 * i5] = r1 - r2; + r1 = pSrc[2 * i1 + 1] + pSrc[2 * i5 + 1]; + s5 = pSrc[2 * i1 + 1] - pSrc[2 * i5 + 1]; + r2 = pSrc[2 * i2 + 1] + pSrc[2 * i6 + 1]; + s6 = pSrc[2 * i2 + 1] - pSrc[2 * i6 + 1]; + s3 = pSrc[2 * i3 + 1] + pSrc[2 * i7 + 1]; + s7 = pSrc[2 * i3 + 1] - pSrc[2 * i7 + 1]; + r4 = pSrc[2 * i4 + 1] + pSrc[2 * i8 + 1]; + s8 = pSrc[2 * i4 + 1] - pSrc[2 * i8 + 1]; + t2 = r1 - s3; + r1 = r1 + s3; + s3 = r2 - r4; + r2 = r2 + r4; + pSrc[2 * i1 + 1] = r1 + r2; + pSrc[2 * i5 + 1] = r1 - r2; + pSrc[2 * i3] = t1 + s3; + pSrc[2 * i7] = t1 - s3; + pSrc[2 * i3 + 1] = t2 - r3; + pSrc[2 * i7 + 1] = t2 + r3; + r1 = (r6 - r8) * C81; + r6 = (r6 + r8) * C81; + r2 = (s6 - s8) * C81; + s6 = (s6 + s8) * C81; + t1 = r5 - r1; + r5 = r5 + r1; + r8 = r7 - r6; + r7 = r7 + r6; + t2 = s5 - r2; + s5 = s5 + r2; + s8 = s7 - s6; + s7 = s7 + s6; + pSrc[2 * i2] = r5 + s7; + pSrc[2 * i8] = r5 - s7; + pSrc[2 * i6] = t1 + s8; + pSrc[2 * i4] = t1 - s8; + pSrc[2 * i2 + 1] = s5 - r7; + pSrc[2 * i8 + 1] = s5 + r7; + pSrc[2 * i6 + 1] = t2 - r8; + pSrc[2 * i4 + 1] = t2 + r8; + + i1 += n1; + } while (i1 < fftLen); + + if (n2 < 8) + break; + + ia1 = 0; + j = 1; + + do + { + /* index calculation for the coefficients */ + id = ia1 + twidCoefModifier; + ia1 = id; + ia2 = ia1 + id; + ia3 = ia2 + id; + ia4 = ia3 + id; + ia5 = ia4 + id; + ia6 = ia5 + id; + ia7 = ia6 + id; + + co2 = pCoef[2 * ia1]; + co3 = pCoef[2 * ia2]; + co4 = pCoef[2 * ia3]; + co5 = pCoef[2 * ia4]; + co6 = pCoef[2 * ia5]; + co7 = pCoef[2 * ia6]; + co8 = pCoef[2 * ia7]; + si2 = pCoef[2 * ia1 + 1]; + si3 = pCoef[2 * ia2 + 1]; + si4 = pCoef[2 * ia3 + 1]; + si5 = pCoef[2 * ia4 + 1]; + si6 = pCoef[2 * ia5 + 1]; + si7 = pCoef[2 * ia6 + 1]; + si8 = pCoef[2 * ia7 + 1]; + + i1 = j; + + do + { + /* index calculation for the input */ + i2 = i1 + n2; + i3 = i2 + n2; + i4 = i3 + n2; + i5 = i4 + n2; + i6 = i5 + n2; + i7 = i6 + n2; + i8 = i7 + n2; + r1 = pSrc[2 * i1] + pSrc[2 * i5]; + r5 = pSrc[2 * i1] - pSrc[2 * i5]; + r2 = pSrc[2 * i2] + pSrc[2 * i6]; + r6 = pSrc[2 * i2] - pSrc[2 * i6]; + r3 = pSrc[2 * i3] + pSrc[2 * i7]; + r7 = pSrc[2 * i3] - pSrc[2 * i7]; + r4 = pSrc[2 * i4] + pSrc[2 * i8]; + r8 = pSrc[2 * i4] - pSrc[2 * i8]; + t1 = r1 - r3; + r1 = r1 + r3; + r3 = r2 - r4; + r2 = r2 + r4; + pSrc[2 * i1] = r1 + r2; + r2 = r1 - r2; + s1 = pSrc[2 * i1 + 1] + pSrc[2 * i5 + 1]; + s5 = pSrc[2 * i1 + 1] - pSrc[2 * i5 + 1]; + s2 = pSrc[2 * i2 + 1] + pSrc[2 * i6 + 1]; + s6 = pSrc[2 * i2 + 1] - pSrc[2 * i6 + 1]; + s3 = pSrc[2 * i3 + 1] + pSrc[2 * i7 + 1]; + s7 = pSrc[2 * i3 + 1] - pSrc[2 * i7 + 1]; + s4 = pSrc[2 * i4 + 1] + pSrc[2 * i8 + 1]; + s8 = pSrc[2 * i4 + 1] - pSrc[2 * i8 + 1]; + t2 = s1 - s3; + s1 = s1 + s3; + s3 = s2 - s4; + s2 = s2 + s4; + r1 = t1 + s3; + t1 = t1 - s3; + pSrc[2 * i1 + 1] = s1 + s2; + s2 = s1 - s2; + s1 = t2 - r3; + t2 = t2 + r3; + p1 = co5 * r2; + p2 = si5 * s2; + p3 = co5 * s2; + p4 = si5 * r2; + pSrc[2 * i5] = p1 + p2; + pSrc[2 * i5 + 1] = p3 - p4; + p1 = co3 * r1; + p2 = si3 * s1; + p3 = co3 * s1; + p4 = si3 * r1; + pSrc[2 * i3] = p1 + p2; + pSrc[2 * i3 + 1] = p3 - p4; + p1 = co7 * t1; + p2 = si7 * t2; + p3 = co7 * t2; + p4 = si7 * t1; + pSrc[2 * i7] = p1 + p2; + pSrc[2 * i7 + 1] = p3 - p4; + r1 = (r6 - r8) * C81; + r6 = (r6 + r8) * C81; + s1 = (s6 - s8) * C81; + s6 = (s6 + s8) * C81; + t1 = r5 - r1; + r5 = r5 + r1; + r8 = r7 - r6; + r7 = r7 + r6; + t2 = s5 - s1; + s5 = s5 + s1; + s8 = s7 - s6; + s7 = s7 + s6; + r1 = r5 + s7; + r5 = r5 - s7; + r6 = t1 + s8; + t1 = t1 - s8; + s1 = s5 - r7; + s5 = s5 + r7; + s6 = t2 - r8; + t2 = t2 + r8; + p1 = co2 * r1; + p2 = si2 * s1; + p3 = co2 * s1; + p4 = si2 * r1; + pSrc[2 * i2] = p1 + p2; + pSrc[2 * i2 + 1] = p3 - p4; + p1 = co8 * r5; + p2 = si8 * s5; + p3 = co8 * s5; + p4 = si8 * r5; + pSrc[2 * i8] = p1 + p2; + pSrc[2 * i8 + 1] = p3 - p4; + p1 = co6 * r6; + p2 = si6 * s6; + p3 = co6 * s6; + p4 = si6 * r6; + pSrc[2 * i6] = p1 + p2; + pSrc[2 * i6 + 1] = p3 - p4; + p1 = co4 * t1; + p2 = si4 * t2; + p3 = co4 * t2; + p4 = si4 * t1; + pSrc[2 * i4] = p1 + p2; + pSrc[2 * i4 + 1] = p3 - p4; + + i1 += n1; + } while (i1 < fftLen); + + j++; + } while (j < n2); + + twidCoefModifier <<= 3; + } while (n2 > 7); +} diff --git a/fw/hid-dials/Drivers/CMSIS/DSP/Source/TransformFunctions/arm_dct4_f32.c b/fw/hid-dials/Drivers/CMSIS/DSP/Source/TransformFunctions/arm_dct4_f32.c new file mode 100644 index 0000000..ccb3c52 --- /dev/null +++ b/fw/hid-dials/Drivers/CMSIS/DSP/Source/TransformFunctions/arm_dct4_f32.c @@ -0,0 +1,449 @@ +/* ---------------------------------------------------------------------- + * Project: CMSIS DSP Library + * Title: arm_dct4_f32.c + * Description: Processing function of DCT4 & IDCT4 F32 + * + * $Date: 27. January 2017 + * $Revision: V.1.5.1 + * + * Target Processor: Cortex-M cores + * -------------------------------------------------------------------- */ +/* + * Copyright (C) 2010-2017 ARM Limited or its affiliates. All rights reserved. + * + * SPDX-License-Identifier: Apache-2.0 + * + * Licensed under the Apache License, Version 2.0 (the License); you may + * not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an AS IS BASIS, WITHOUT + * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ + +#include "arm_math.h" + +/** + * @ingroup groupTransforms + */ + +/** + * @defgroup DCT4_IDCT4 DCT Type IV Functions + * Representation of signals by minimum number of values is important for storage and transmission. + * The possibility of large discontinuity between the beginning and end of a period of a signal + * in DFT can be avoided by extending the signal so that it is even-symmetric. + * Discrete Cosine Transform (DCT) is constructed such that its energy is heavily concentrated in the lower part of the + * spectrum and is very widely used in signal and image coding applications. + * The family of DCTs (DCT type- 1,2,3,4) is the outcome of different combinations of homogeneous boundary conditions. + * DCT has an excellent energy-packing capability, hence has many applications and in data compression in particular. + * + * DCT is essentially the Discrete Fourier Transform(DFT) of an even-extended real signal. + * Reordering of the input data makes the computation of DCT just a problem of + * computing the DFT of a real signal with a few additional operations. + * This approach provides regular, simple, and very efficient DCT algorithms for practical hardware and software implementations. + * + * DCT type-II can be implemented using Fast fourier transform (FFT) internally, as the transform is applied on real values, Real FFT can be used. + * DCT4 is implemented using DCT2 as their implementations are similar except with some added pre-processing and post-processing. + * DCT2 implementation can be described in the following steps: + * - Re-ordering input + * - Calculating Real FFT + * - Multiplication of weights and Real FFT output and getting real part from the product. + * + * This process is explained by the block diagram below: + * \image html DCT4.gif "Discrete Cosine Transform - type-IV" + * + * \par Algorithm: + * The N-point type-IV DCT is defined as a real, linear transformation by the formula: + * \image html DCT4Equation.gif + * where k = 0,1,2,.....N-1 + *\par + * Its inverse is defined as follows: + * \image html IDCT4Equation.gif + * where n = 0,1,2,.....N-1 + *\par + * The DCT4 matrices become involutory (i.e. they are self-inverse) by multiplying with an overall scale factor of sqrt(2/N). + * The symmetry of the transform matrix indicates that the fast algorithms for the forward + * and inverse transform computation are identical. + * Note that the implementation of Inverse DCT4 and DCT4 is same, hence same process function can be used for both. + * + * \par Lengths supported by the transform: + * As DCT4 internally uses Real FFT, it supports all the lengths 128, 512, 2048 and 8192. + * The library provides separate functions for Q15, Q31, and floating-point data types. + * \par Instance Structure + * The instances for Real FFT and FFT, cosine values table and twiddle factor table are stored in an instance data structure. + * A separate instance structure must be defined for each transform. + * There are separate instance structure declarations for each of the 3 supported data types. + * + * \par Initialization Functions + * There is also an associated initialization function for each data type. + * The initialization function performs the following operations: + * - Sets the values of the internal structure fields. + * - Initializes Real FFT as its process function is used internally in DCT4, by calling arm_rfft_init_f32(). + * \par + * Use of the initialization function is optional. + * However, if the initialization function is used, then the instance structure cannot be placed into a const data section. + * To place an instance structure into a const data section, the instance structure must be manually initialized. + * Manually initialize the instance structure as follows: + *
+ *arm_dct4_instance_f32 S = {N, Nby2, normalize, pTwiddle, pCosFactor, pRfft, pCfft};
+ *arm_dct4_instance_q31 S = {N, Nby2, normalize, pTwiddle, pCosFactor, pRfft, pCfft};
+ *arm_dct4_instance_q15 S = {N, Nby2, normalize, pTwiddle, pCosFactor, pRfft, pCfft};
+ * 
+ * where \c N is the length of the DCT4; \c Nby2 is half of the length of the DCT4; + * \c normalize is normalizing factor used and is equal to sqrt(2/N); + * \c pTwiddle points to the twiddle factor table; + * \c pCosFactor points to the cosFactor table; + * \c pRfft points to the real FFT instance; + * \c pCfft points to the complex FFT instance; + * The CFFT and RFFT structures also needs to be initialized, refer to arm_cfft_radix4_f32() + * and arm_rfft_f32() respectively for details regarding static initialization. + * + * \par Fixed-Point Behavior + * Care must be taken when using the fixed-point versions of the DCT4 transform functions. + * In particular, the overflow and saturation behavior of the accumulator used in each function must be considered. + * Refer to the function specific documentation below for usage guidelines. + */ + + /** + * @addtogroup DCT4_IDCT4 + * @{ + */ + +/** + * @brief Processing function for the floating-point DCT4/IDCT4. + * @param[in] *S points to an instance of the floating-point DCT4/IDCT4 structure. + * @param[in] *pState points to state buffer. + * @param[in,out] *pInlineBuffer points to the in-place input and output buffer. + * @return none. + */ + +void arm_dct4_f32( + const arm_dct4_instance_f32 * S, + float32_t * pState, + float32_t * pInlineBuffer) +{ + uint32_t i; /* Loop counter */ + float32_t *weights = S->pTwiddle; /* Pointer to the Weights table */ + float32_t *cosFact = S->pCosFactor; /* Pointer to the cos factors table */ + float32_t *pS1, *pS2, *pbuff; /* Temporary pointers for input buffer and pState buffer */ + float32_t in; /* Temporary variable */ + + + /* DCT4 computation involves DCT2 (which is calculated using RFFT) + * along with some pre-processing and post-processing. + * Computational procedure is explained as follows: + * (a) Pre-processing involves multiplying input with cos factor, + * r(n) = 2 * u(n) * cos(pi*(2*n+1)/(4*n)) + * where, + * r(n) -- output of preprocessing + * u(n) -- input to preprocessing(actual Source buffer) + * (b) Calculation of DCT2 using FFT is divided into three steps: + * Step1: Re-ordering of even and odd elements of input. + * Step2: Calculating FFT of the re-ordered input. + * Step3: Taking the real part of the product of FFT output and weights. + * (c) Post-processing - DCT4 can be obtained from DCT2 output using the following equation: + * Y4(k) = Y2(k) - Y4(k-1) and Y4(-1) = Y4(0) + * where, + * Y4 -- DCT4 output, Y2 -- DCT2 output + * (d) Multiplying the output with the normalizing factor sqrt(2/N). + */ + + /*-------- Pre-processing ------------*/ + /* Multiplying input with cos factor i.e. r(n) = 2 * x(n) * cos(pi*(2*n+1)/(4*n)) */ + arm_scale_f32(pInlineBuffer, 2.0f, pInlineBuffer, S->N); + arm_mult_f32(pInlineBuffer, cosFact, pInlineBuffer, S->N); + + /* ---------------------------------------------------------------- + * Step1: Re-ordering of even and odd elements as, + * pState[i] = pInlineBuffer[2*i] and + * pState[N-i-1] = pInlineBuffer[2*i+1] where i = 0 to N/2 + ---------------------------------------------------------------------*/ + + /* pS1 initialized to pState */ + pS1 = pState; + + /* pS2 initialized to pState+N-1, so that it points to the end of the state buffer */ + pS2 = pState + (S->N - 1U); + + /* pbuff initialized to input buffer */ + pbuff = pInlineBuffer; + +#if defined (ARM_MATH_DSP) + + /* Run the below code for Cortex-M4 and Cortex-M3 */ + + /* Initializing the loop counter to N/2 >> 2 for loop unrolling by 4 */ + i = (uint32_t) S->Nby2 >> 2U; + + /* First part of the processing with loop unrolling. Compute 4 outputs at a time. + ** a second loop below computes the remaining 1 to 3 samples. */ + do + { + /* Re-ordering of even and odd elements */ + /* pState[i] = pInlineBuffer[2*i] */ + *pS1++ = *pbuff++; + /* pState[N-i-1] = pInlineBuffer[2*i+1] */ + *pS2-- = *pbuff++; + + *pS1++ = *pbuff++; + *pS2-- = *pbuff++; + + *pS1++ = *pbuff++; + *pS2-- = *pbuff++; + + *pS1++ = *pbuff++; + *pS2-- = *pbuff++; + + /* Decrement the loop counter */ + i--; + } while (i > 0U); + + /* pbuff initialized to input buffer */ + pbuff = pInlineBuffer; + + /* pS1 initialized to pState */ + pS1 = pState; + + /* Initializing the loop counter to N/4 instead of N for loop unrolling */ + i = (uint32_t) S->N >> 2U; + + /* Processing with loop unrolling 4 times as N is always multiple of 4. + * Compute 4 outputs at a time */ + do + { + /* Writing the re-ordered output back to inplace input buffer */ + *pbuff++ = *pS1++; + *pbuff++ = *pS1++; + *pbuff++ = *pS1++; + *pbuff++ = *pS1++; + + /* Decrement the loop counter */ + i--; + } while (i > 0U); + + + /* --------------------------------------------------------- + * Step2: Calculate RFFT for N-point input + * ---------------------------------------------------------- */ + /* pInlineBuffer is real input of length N , pState is the complex output of length 2N */ + arm_rfft_f32(S->pRfft, pInlineBuffer, pState); + + /*---------------------------------------------------------------------- + * Step3: Multiply the FFT output with the weights. + *----------------------------------------------------------------------*/ + arm_cmplx_mult_cmplx_f32(pState, weights, pState, S->N); + + /* ----------- Post-processing ---------- */ + /* DCT-IV can be obtained from DCT-II by the equation, + * Y4(k) = Y2(k) - Y4(k-1) and Y4(-1) = Y4(0) + * Hence, Y4(0) = Y2(0)/2 */ + /* Getting only real part from the output and Converting to DCT-IV */ + + /* Initializing the loop counter to N >> 2 for loop unrolling by 4 */ + i = ((uint32_t) S->N - 1U) >> 2U; + + /* pbuff initialized to input buffer. */ + pbuff = pInlineBuffer; + + /* pS1 initialized to pState */ + pS1 = pState; + + /* Calculating Y4(0) from Y2(0) using Y4(0) = Y2(0)/2 */ + in = *pS1++ * (float32_t) 0.5; + /* input buffer acts as inplace, so output values are stored in the input itself. */ + *pbuff++ = in; + + /* pState pointer is incremented twice as the real values are located alternatively in the array */ + pS1++; + + /* First part of the processing with loop unrolling. Compute 4 outputs at a time. + ** a second loop below computes the remaining 1 to 3 samples. */ + do + { + /* Calculating Y4(1) to Y4(N-1) from Y2 using equation Y4(k) = Y2(k) - Y4(k-1) */ + /* pState pointer (pS1) is incremented twice as the real values are located alternatively in the array */ + in = *pS1++ - in; + *pbuff++ = in; + /* points to the next real value */ + pS1++; + + in = *pS1++ - in; + *pbuff++ = in; + pS1++; + + in = *pS1++ - in; + *pbuff++ = in; + pS1++; + + in = *pS1++ - in; + *pbuff++ = in; + pS1++; + + /* Decrement the loop counter */ + i--; + } while (i > 0U); + + /* If the blockSize is not a multiple of 4, compute any remaining output samples here. + ** No loop unrolling is used. */ + i = ((uint32_t) S->N - 1U) % 0x4U; + + while (i > 0U) + { + /* Calculating Y4(1) to Y4(N-1) from Y2 using equation Y4(k) = Y2(k) - Y4(k-1) */ + /* pState pointer (pS1) is incremented twice as the real values are located alternatively in the array */ + in = *pS1++ - in; + *pbuff++ = in; + /* points to the next real value */ + pS1++; + + /* Decrement the loop counter */ + i--; + } + + + /*------------ Normalizing the output by multiplying with the normalizing factor ----------*/ + + /* Initializing the loop counter to N/4 instead of N for loop unrolling */ + i = (uint32_t) S->N >> 2U; + + /* pbuff initialized to the pInlineBuffer(now contains the output values) */ + pbuff = pInlineBuffer; + + /* Processing with loop unrolling 4 times as N is always multiple of 4. Compute 4 outputs at a time */ + do + { + /* Multiplying pInlineBuffer with the normalizing factor sqrt(2/N) */ + in = *pbuff; + *pbuff++ = in * S->normalize; + + in = *pbuff; + *pbuff++ = in * S->normalize; + + in = *pbuff; + *pbuff++ = in * S->normalize; + + in = *pbuff; + *pbuff++ = in * S->normalize; + + /* Decrement the loop counter */ + i--; + } while (i > 0U); + + +#else + + /* Run the below code for Cortex-M0 */ + + /* Initializing the loop counter to N/2 */ + i = (uint32_t) S->Nby2; + + do + { + /* Re-ordering of even and odd elements */ + /* pState[i] = pInlineBuffer[2*i] */ + *pS1++ = *pbuff++; + /* pState[N-i-1] = pInlineBuffer[2*i+1] */ + *pS2-- = *pbuff++; + + /* Decrement the loop counter */ + i--; + } while (i > 0U); + + /* pbuff initialized to input buffer */ + pbuff = pInlineBuffer; + + /* pS1 initialized to pState */ + pS1 = pState; + + /* Initializing the loop counter */ + i = (uint32_t) S->N; + + do + { + /* Writing the re-ordered output back to inplace input buffer */ + *pbuff++ = *pS1++; + + /* Decrement the loop counter */ + i--; + } while (i > 0U); + + + /* --------------------------------------------------------- + * Step2: Calculate RFFT for N-point input + * ---------------------------------------------------------- */ + /* pInlineBuffer is real input of length N , pState is the complex output of length 2N */ + arm_rfft_f32(S->pRfft, pInlineBuffer, pState); + + /*---------------------------------------------------------------------- + * Step3: Multiply the FFT output with the weights. + *----------------------------------------------------------------------*/ + arm_cmplx_mult_cmplx_f32(pState, weights, pState, S->N); + + /* ----------- Post-processing ---------- */ + /* DCT-IV can be obtained from DCT-II by the equation, + * Y4(k) = Y2(k) - Y4(k-1) and Y4(-1) = Y4(0) + * Hence, Y4(0) = Y2(0)/2 */ + /* Getting only real part from the output and Converting to DCT-IV */ + + /* pbuff initialized to input buffer. */ + pbuff = pInlineBuffer; + + /* pS1 initialized to pState */ + pS1 = pState; + + /* Calculating Y4(0) from Y2(0) using Y4(0) = Y2(0)/2 */ + in = *pS1++ * (float32_t) 0.5; + /* input buffer acts as inplace, so output values are stored in the input itself. */ + *pbuff++ = in; + + /* pState pointer is incremented twice as the real values are located alternatively in the array */ + pS1++; + + /* Initializing the loop counter */ + i = ((uint32_t) S->N - 1U); + + do + { + /* Calculating Y4(1) to Y4(N-1) from Y2 using equation Y4(k) = Y2(k) - Y4(k-1) */ + /* pState pointer (pS1) is incremented twice as the real values are located alternatively in the array */ + in = *pS1++ - in; + *pbuff++ = in; + /* points to the next real value */ + pS1++; + + + /* Decrement the loop counter */ + i--; + } while (i > 0U); + + + /*------------ Normalizing the output by multiplying with the normalizing factor ----------*/ + + /* Initializing the loop counter */ + i = (uint32_t) S->N; + + /* pbuff initialized to the pInlineBuffer(now contains the output values) */ + pbuff = pInlineBuffer; + + do + { + /* Multiplying pInlineBuffer with the normalizing factor sqrt(2/N) */ + in = *pbuff; + *pbuff++ = in * S->normalize; + + /* Decrement the loop counter */ + i--; + } while (i > 0U); + +#endif /* #if defined (ARM_MATH_DSP) */ + +} + +/** + * @} end of DCT4_IDCT4 group + */ diff --git a/fw/hid-dials/Drivers/CMSIS/DSP/Source/TransformFunctions/arm_dct4_init_f32.c b/fw/hid-dials/Drivers/CMSIS/DSP/Source/TransformFunctions/arm_dct4_init_f32.c new file mode 100644 index 0000000..19b46f5 --- /dev/null +++ b/fw/hid-dials/Drivers/CMSIS/DSP/Source/TransformFunctions/arm_dct4_init_f32.c @@ -0,0 +1,16513 @@ +/* ---------------------------------------------------------------------- + * Project: CMSIS DSP Library + * Title: arm_dct4_init_f32.c + * Description: Initialization function of DCT-4 & IDCT4 F32 + * + * $Date: 27. January 2017 + * $Revision: V.1.5.1 + * + * Target Processor: Cortex-M cores + * -------------------------------------------------------------------- */ +/* + * Copyright (C) 2010-2017 ARM Limited or its affiliates. All rights reserved. + * + * SPDX-License-Identifier: Apache-2.0 + * + * Licensed under the Apache License, Version 2.0 (the License); you may + * not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an AS IS BASIS, WITHOUT + * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ + +#include "arm_math.h" + +/** + * @ingroup DCT4_IDCT4 + */ + +/** + * @addtogroup DCT4_IDCT4_Table DCT Type IV Tables + * @{ + */ + +/* +* @brief Weights Table +*/ + +/** + * \par + * Weights tables are generated using the formula :
weights[n] = e^(-j*n*pi/(2*N))
+ * \par + * C command to generate the table + *
+ * for(i = 0; i< N; i++)
+ * {
+ *    weights[2*i]= cos(i*c);
+ *    weights[(2*i)+1]= -sin(i * c);
+ * } 
+ * \par + * Where N is the Number of weights to be calculated and c is pi/(2*N) + * \par + * In the tables below the real and imaginary values are placed alternatively, hence the + * array length is 2*N. + */ + +static const float32_t Weights_128[256] = { + 1.000000000000000000f, 0.000000000000000000f, 0.999924701839144500f, + -0.012271538285719925f, + 0.999698818696204250f, -0.024541228522912288f, 0.999322384588349540f, + -0.036807222941358832f, + 0.998795456205172410f, -0.049067674327418015f, 0.998118112900149180f, + -0.061320736302208578f, + 0.997290456678690210f, -0.073564563599667426f, 0.996312612182778000f, + -0.085797312344439894f, + 0.995184726672196930f, -0.098017140329560604f, 0.993906970002356060f, + -0.110222207293883060f, + 0.992479534598709970f, -0.122410675199216200f, 0.990902635427780010f, + -0.134580708507126170f, + 0.989176509964781010f, -0.146730474455361750f, 0.987301418157858430f, + -0.158858143333861450f, + 0.985277642388941220f, -0.170961888760301220f, 0.983105487431216290f, + -0.183039887955140950f, + 0.980785280403230430f, -0.195090322016128250f, 0.978317370719627650f, + -0.207111376192218560f, + 0.975702130038528570f, -0.219101240156869800f, 0.972939952205560180f, + -0.231058108280671110f, + 0.970031253194543970f, -0.242980179903263870f, 0.966976471044852070f, + -0.254865659604514570f, + 0.963776065795439840f, -0.266712757474898370f, 0.960430519415565790f, + -0.278519689385053060f, + 0.956940335732208820f, -0.290284677254462330f, 0.953306040354193860f, + -0.302005949319228080f, + 0.949528180593036670f, -0.313681740398891520f, 0.945607325380521280f, + -0.325310292162262930f, + 0.941544065183020810f, -0.336889853392220050f, 0.937339011912574960f, + -0.348418680249434560f, + 0.932992798834738960f, -0.359895036534988110f, 0.928506080473215590f, + -0.371317193951837540f, + 0.923879532511286740f, -0.382683432365089780f, 0.919113851690057770f, + -0.393992040061048100f, + 0.914209755703530690f, -0.405241314004989860f, 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0.001533980186284766f, -0.999998823451701880f, 0.001342232786374430f, + -0.999999099205167830f, + 0.001150485337113809f, -0.999999338191525530f, 0.000958737845553352f, + -0.999999540410766110f, + 0.000766990318742846f, -0.999999705862882230f, 0.000575242763732077f, + -0.999999834547867670f, + 0.000383495187571497f, -0.999999926465717890f, 0.000191747597310674f, + -0.999999981616429330f +}; + +/** +* \par +* cosFactor tables are generated using the formula :
cos_factors[n] = 2 * cos((2n+1)*pi/(4*N))
+* \par +* C command to generate the table +* \par +*
 for(i = 0; i< N; i++)
+* {
+*    cos_factors[i]= 2 * cos((2*i+1)*c/2);
+* } 
+* \par +* where N is the number of factors to generate and c is pi/(2*N) +*/ +static const float32_t cos_factors_128[128] = { + 0.999981175282601110f, 0.999830581795823400f, 0.999529417501093140f, + 0.999077727752645360f, + 0.998475580573294770f, 0.997723066644191640f, 0.996820299291165670f, + 0.995767414467659820f, + 0.994564570734255420f, 0.993211949234794500f, 0.991709753669099530f, + 0.990058210262297120f, + 0.988257567730749460f, 0.986308097244598670f, 0.984210092386929030f, + 0.981963869109555240f, + 0.979569765685440520f, 0.977028142657754390f, 0.974339382785575860f, + 0.971503890986251780f, + 0.968522094274417380f, 0.965394441697689400f, 0.962121404269041580f, + 0.958703474895871600f, + 0.955141168305770780f, 0.951435020969008340f, 0.947585591017741090f, + 0.943593458161960390f, + 0.939459223602189920f, 0.935183509938947610f, 0.930766961078983710f, + 0.926210242138311380f, + 0.921514039342042010f, 0.916679059921042700f, 0.911706032005429880f, + 0.906595704514915330f, + 0.901348847046022030f, 0.895966249756185220f, 0.890448723244757880f, + 0.884797098430937790f, + 0.879012226428633530f, 0.873094978418290090f, 0.867046245515692650f, + 0.860866938637767310f, + 0.854557988365400530f, 0.848120344803297230f, 0.841554977436898440f, + 0.834862874986380010f, + 0.828045045257755800f, 0.821102514991104650f, 0.814036329705948410f, + 0.806847553543799330f, + 0.799537269107905010f, 0.792106577300212390f, 0.784556597155575240f, + 0.776888465673232440f, + 0.769103337645579700f, 0.761202385484261780f, 0.753186799043612520f, + 0.745057785441466060f, + 0.736816568877369900f, 0.728464390448225200f, 0.720002507961381650f, + 0.711432195745216430f, + 0.702754744457225300f, 0.693971460889654000f, 0.685083667772700360f, + 0.676092703575316030f, + 0.666999922303637470f, 0.657806693297078640f, 0.648514401022112550f, + 0.639124444863775730f, + 0.629638238914927100f, 0.620057211763289210f, 0.610382806276309480f, + 0.600616479383868970f, + 0.590759701858874280f, 0.580813958095764530f, 0.570780745886967370f, + 0.560661576197336030f, + 0.550457972936604810f, 0.540171472729892970f, 0.529803624686294830f, + 0.519355990165589530f, + 0.508830142543106990f, 0.498227666972781870f, 0.487550160148436050f, + 0.476799230063322250f, + 0.465976495767966130f, 0.455083587126343840f, 0.444122144570429260f, + 0.433093818853152010f, + 0.422000270799799790f, 0.410843171057903910f, 0.399624199845646790f, + 0.388345046698826300f, + 0.377007410216418310f, 0.365612997804773960f, 0.354163525420490510f, + 0.342660717311994380f, + 0.331106305759876430f, 0.319502030816015750f, 0.307849640041534980f, + 0.296150888243623960f, + 0.284407537211271820f, 0.272621355449948980f, 0.260794117915275570f, + 0.248927605745720260f, + 0.237023605994367340f, 0.225083911359792780f, 0.213110319916091360f, + 0.201104634842091960f, + 0.189068664149806280f, 0.177004220412148860f, 0.164913120489970090f, + 0.152797185258443410f, + 0.140658239332849240f, 0.128498110793793220f, 0.116318630911904880f, + 0.104121633872054730f, + 0.091908956497132696f, 0.079682437971430126f, 0.067443919563664106f, + 0.055195244349690031f, + 0.042938256934940959f, 0.030674803176636581f, 0.018406729905804820f, + 0.006135884649154515f +}; + +static const float32_t cos_factors_512[512] = { + 0.999998823451701880f, 0.999989411081928400f, 0.999970586430974140f, + 0.999942349676023910f, + 0.999904701082852900f, 0.999857641005823860f, 0.999801169887884260f, + 0.999735288260561680f, + 0.999659996743959220f, 0.999575296046749220f, 0.999481186966166950f, + 0.999377670388002850f, + 0.999264747286594420f, 0.999142418724816910f, 0.999010685854073380f, + 0.998869549914283560f, + 0.998719012233872940f, 0.998559074229759310f, 0.998389737407340160f, + 0.998211003360478190f, + 0.998022873771486240f, 0.997825350411111640f, 0.997618435138519550f, + 0.997402129901275300f, + 0.997176436735326190f, 0.996941357764982160f, 0.996696895202896060f, + 0.996443051350042630f, + 0.996179828595696980f, 0.995907229417411720f, 0.995625256380994310f, + 0.995333912140482280f, + 0.995033199438118630f, 0.994723121104325700f, 0.994403680057679100f, + 0.994074879304879370f, + 0.993736721940724600f, 0.993389211148080650f, 0.993032350197851410f, + 0.992666142448948020f, + 0.992290591348257370f, 0.991905700430609330f, 0.991511473318743900f, + 0.991107913723276890f, + 0.990695025442664630f, 0.990272812363169110f, 0.989841278458820530f, + 0.989400427791380380f, + 0.988950264510302990f, 0.988490792852696590f, 0.988022017143283530f, + 0.987543941794359230f, + 0.987056571305750970f, 0.986559910264775410f, 0.986053963346195440f, + 0.985538735312176060f, + 0.985014231012239840f, 0.984480455383220930f, 0.983937413449218920f, + 0.983385110321551180f, + 0.982823551198705240f, 0.982252741366289370f, 0.981672686196983110f, + 0.981083391150486710f, + 0.980484861773469380f, 0.979877103699517640f, 0.979260122649082020f, + 0.978633924429423210f, + 0.977998514934557140f, 0.977353900145199960f, 0.976700086128711840f, + 0.976037079039039020f, + 0.975364885116656980f, 0.974683510688510670f, 0.973992962167955830f, + 0.973293246054698250f, + 0.972584368934732210f, 0.971866337480279400f, 0.971139158449725090f, + 0.970402838687555500f, + 0.969657385124292450f, 0.968902804776428870f, 0.968139104746362440f, + 0.967366292222328510f, + 0.966584374478333120f, 0.965793358874083680f, 0.964993252854920320f, + 0.964184063951745830f, + 0.963365799780954050f, 0.962538468044359160f, 0.961702076529122540f, + 0.960856633107679660f, + 0.960002145737665960f, 0.959138622461841890f, 0.958266071408017670f, + 0.957384500788975860f, + 0.956493918902395100f, 0.955594334130771110f, 0.954685754941338340f, + 0.953768189885990330f, + 0.952841647601198720f, 0.951906136807932350f, 0.950961666311575080f, + 0.950008245001843000f, + 0.949045881852700560f, 0.948074585922276230f, 0.947094366352777220f, + 0.946105232370403450f, + 0.945107193285260610f, 0.944100258491272660f, 0.943084437466093490f, + 0.942059739771017310f, + 0.941026175050889260f, 0.939983753034014050f, 0.938932483532064600f, + 0.937872376439989890f, + 0.936803441735921560f, 0.935725689481080370f, 0.934639129819680780f, + 0.933543772978836170f, + 0.932439629268462360f, 0.931326709081180430f, 0.930205022892219070f, + 0.929074581259315860f, + 0.927935394822617890f, 0.926787474304581750f, 0.925630830509872720f, + 0.924465474325262600f, + 0.923291416719527640f, 0.922108668743345180f, 0.920917241529189520f, + 0.919717146291227360f, + 0.918508394325212250f, 0.917290997008377910f, 0.916064965799331720f, + 0.914830312237946200f, + 0.913587047945250810f, 0.912335184623322750f, 0.911074734055176360f, + 0.909805708104652220f, + 0.908528118716306120f, 0.907241977915295820f, 0.905947297807268460f, + 0.904644090578246240f, + 0.903332368494511820f, 0.902012143902493180f, 0.900683429228646970f, + 0.899346236979341570f, + 0.898000579740739880f, 0.896646470178680150f, 0.895283921038557580f, + 0.893912945145203250f, + 0.892533555402764580f, 0.891145764794583180f, 0.889749586383072780f, + 0.888345033309596350f, + 0.886932118794342190f, 0.885510856136199950f, 0.884081258712634990f, + 0.882643339979562790f, + 0.881197113471222090f, 0.879742592800047410f, 0.878279791656541580f, + 0.876808723809145650f, + 0.875329403104110890f, 0.873841843465366860f, 0.872346058894391540f, + 0.870842063470078980f, + 0.869329871348606840f, 0.867809496763303320f, 0.866280954024512990f, + 0.864744257519462380f, + 0.863199421712124160f, 0.861646461143081300f, 0.860085390429390140f, + 0.858516224264442740f, + 0.856938977417828760f, 0.855353664735196030f, 0.853760301138111410f, + 0.852158901623919830f, + 0.850549481265603480f, 0.848932055211639610f, 0.847306638685858320f, + 0.845673246987299070f, + 0.844031895490066410f, 0.842382599643185850f, 0.840725374970458070f, + 0.839060237070312740f, + 0.837387201615661940f, 0.835706284353752600f, 0.834017501106018130f, + 0.832320867767929680f, + 0.830616400308846310f, 0.828904114771864870f, 0.827184027273669130f, + 0.825456154004377550f, + 0.823720511227391430f, 0.821977115279241550f, 0.820225982569434690f, + 0.818467129580298660f, + 0.816700572866827850f, 0.814926329056526620f, 0.813144414849253590f, + 0.811354847017063730f, + 0.809557642404051260f, 0.807752817926190360f, 0.805940390571176280f, + 0.804120377398265810f, + 0.802292795538115720f, 0.800457662192622820f, 0.798614994634760820f, + 0.796764810208418830f, + 0.794907126328237010f, 0.793041960479443640f, 0.791169330217690200f, + 0.789289253168885650f, + 0.787401747029031430f, 0.785506829564053930f, 0.783604518609638200f, + 0.781694832071059390f, + 0.779777787923014550f, 0.777853404209453150f, 0.775921699043407690f, + 0.773982690606822900f, + 0.772036397150384520f, 0.770082836993347900f, 0.768122028523365420f, + 0.766153990196312920f, + 0.764178740536116670f, 0.762196298134578900f, 0.760206681651202420f, + 0.758209909813015280f, + 0.756206001414394540f, 0.754194975316889170f, 0.752176850449042810f, + 0.750151645806215070f, + 0.748119380450403600f, 0.746080073510063780f, 0.744033744179929290f, + 0.741980411720831070f, + 0.739920095459516200f, 0.737852814788465980f, 0.735778589165713590f, + 0.733697438114660370f, + 0.731609381223892630f, 0.729514438146997010f, 0.727412628602375770f, + 0.725303972373060770f, + 0.723188489306527460f, 0.721066199314508110f, 0.718937122372804490f, + 0.716801278521099540f, + 0.714658687862769090f, 0.712509370564692320f, 0.710353346857062420f, + 0.708190637033195400f, + 0.706021261449339740f, 0.703845240524484940f, 0.701662594740168570f, + 0.699473344640283770f, + 0.697277510830886630f, 0.695075113980000880f, 0.692866174817424740f, + 0.690650714134534720f, + 0.688428752784090550f, 0.686200311680038700f, 0.683965411797315510f, + 0.681724074171649820f, + 0.679476319899365080f, 0.677222170137180450f, 0.674961646102012040f, + 0.672694769070772970f, + 0.670421560380173090f, 0.668142041426518560f, 0.665856233665509720f, + 0.663564158612039880f, + 0.661265837839992270f, 0.658961292982037320f, 0.656650545729429050f, + 0.654333617831800550f, + 0.652010531096959500f, 0.649681307390683190f, 0.647345968636512060f, + 0.645004536815544040f, + 0.642657033966226860f, 0.640303482184151670f, 0.637943903621844170f, + 0.635578320488556230f, + 0.633206755050057190f, 0.630829229628424470f, 0.628445766601832710f, + 0.626056388404343520f, + 0.623661117525694640f, 0.621259976511087660f, 0.618852987960976320f, + 0.616440174530853650f, + 0.614021558931038490f, 0.611597163926462020f, 0.609167012336453210f, + 0.606731127034524480f, + 0.604289530948156070f, 0.601842247058580030f, 0.599389298400564540f, + 0.596930708062196500f, + 0.594466499184664540f, 0.591996694962040990f, 0.589521318641063940f, + 0.587040393520918080f, + 0.584553942953015330f, 0.582061990340775550f, 0.579564559139405740f, + 0.577061672855679550f, + 0.574553355047715760f, 0.572039629324757050f, 0.569520519346947250f, + 0.566996048825108680f, + 0.564466241520519500f, 0.561931121244689470f, 0.559390711859136140f, + 0.556845037275160100f, + 0.554294121453620110f, 0.551737988404707450f, 0.549176662187719770f, + 0.546610166910834860f, + 0.544038526730883930f, 0.541461765853123560f, 0.538879908531008420f, + 0.536292979065963180f, + 0.533701001807152960f, 0.531104001151255000f, 0.528502001542228480f, + 0.525895027471084740f, + 0.523283103475656430f, 0.520666254140367270f, 0.518044504095999340f, + 0.515417878019463150f, + 0.512786400633563070f, 0.510150096706766700f, 0.507508991052970870f, + 0.504863108531267480f, + 0.502212474045710900f, 0.499557112545081890f, 0.496897049022654640f, + 0.494232308515959730f, + 0.491562916106550060f, 0.488888896919763230f, 0.486210276124486530f, + 0.483527078932918740f, + 0.480839330600333900f, 0.478147056424843120f, 0.475450281747155870f, + 0.472749031950342900f, + 0.470043332459595620f, 0.467333208741988530f, 0.464618686306237820f, + 0.461899790702462840f, + 0.459176547521944150f, 0.456448982396883860f, 0.453717121000163930f, + 0.450980989045103810f, + 0.448240612285220000f, 0.445496016513981740f, 0.442747227564570130f, + 0.439994271309633260f, + 0.437237173661044200f, 0.434475960569655710f, 0.431710658025057370f, + 0.428941292055329550f, + 0.426167888726799620f, 0.423390474143796100f, 0.420609074448402510f, + 0.417823715820212380f, + 0.415034424476081630f, 0.412241226669883000f, 0.409444148692257590f, + 0.406643216870369140f, + 0.403838457567654130f, 0.401029897183575790f, 0.398217562153373620f, + 0.395401478947816300f, + 0.392581674072951530f, 0.389758174069856410f, 0.386931005514388690f, + 0.384100195016935040f, + 0.381265769222162490f, 0.378427754808765620f, 0.375586178489217330f, + 0.372741067009515810f, + 0.369892447148934270f, 0.367040345719767240f, 0.364184789567079840f, + 0.361325805568454340f, + 0.358463420633736540f, 0.355597661704783960f, 0.352728555755210730f, + 0.349856129790135030f, + 0.346980410845923680f, 0.344101425989938980f, 0.341219202320282410f, + 0.338333766965541290f, + 0.335445147084531660f, 0.332553369866044220f, 0.329658462528587550f, + 0.326760452320131790f, + 0.323859366517852960f, 0.320955232427875210f, 0.318048077385015060f, + 0.315137928752522440f, + 0.312224813921825050f, 0.309308760312268780f, 0.306389795370861080f, + 0.303467946572011370f, + 0.300543241417273400f, 0.297615707435086310f, 0.294685372180514330f, + 0.291752263234989370f, + 0.288816408206049480f, 0.285877834727080730f, 0.282936570457055390f, + 0.279992643080273380f, + 0.277046080306099950f, 0.274096909868706330f, 0.271145159526808070f, + 0.268190857063403180f, + 0.265234030285511900f, 0.262274707023913590f, 0.259312915132886350f, + 0.256348682489942910f, + 0.253382036995570270f, 0.250413006572965280f, 0.247441619167773440f, + 0.244467902747824210f, + 0.241491885302869300f, 0.238513594844318500f, 0.235533059404975460f, + 0.232550307038775330f, + 0.229565365820518870f, 0.226578263845610110f, 0.223589029229790020f, + 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0.009779088556525145f, + 0.009395597766389905f, + 0.009012106630804949f, 0.008628615163871038f, 0.008245123379687167f, + 0.007861631292354124f, + 0.007478138915970929f, 0.007094646264638386f, 0.006711153352455981f, + 0.006327660193523208f, + 0.005944166801940901f, 0.005560673191808128f, 0.005177179377225743f, + 0.004793685372293270f, + 0.004410191191110246f, 0.004026696847777542f, 0.003643202356394263f, + 0.003259707731061291f, + 0.002876212985878184f, 0.002492718134944503f, 0.002109223192361147f, + 0.001725728172227238f, + 0.001342233088643682f, 0.000958737955710053f, 0.000575242787525925f, + 0.000191747598192208f +}; + +/** + * @} end of DCT4_IDCT4_Table group + */ + +/** + * @addtogroup DCT4_IDCT4 + * @{ + */ + +/** + * @brief Initialization function for the floating-point DCT4/IDCT4. + * @param[in,out] *S points to an instance of floating-point DCT4/IDCT4 structure. + * @param[in] *S_RFFT points to an instance of floating-point RFFT/RIFFT structure. + * @param[in] *S_CFFT points to an instance of floating-point CFFT/CIFFT structure. + * @param[in] N length of the DCT4. + * @param[in] Nby2 half of the length of the DCT4. + * @param[in] normalize normalizing factor. + * @return arm_status function returns ARM_MATH_SUCCESS if initialization is successful or ARM_MATH_ARGUMENT_ERROR if fftLenReal is not a supported transform length. + * \par Normalizing factor: + * The normalizing factor is sqrt(2/N), which depends on the size of transform N. + * Floating-point normalizing factors are mentioned in the table below for different DCT sizes: + * \image html dct4NormalizingF32Table.gif + */ + +arm_status arm_dct4_init_f32( + arm_dct4_instance_f32 * S, + arm_rfft_instance_f32 * S_RFFT, + arm_cfft_radix4_instance_f32 * S_CFFT, + uint16_t N, + uint16_t Nby2, + float32_t normalize) +{ + /* Initialize the default arm status */ + arm_status status = ARM_MATH_SUCCESS; + + /* Initializing the pointer array with the weight table base addresses of different lengths */ + float32_t *twiddlePtr[4] = + { (float32_t *) Weights_128, (float32_t *) Weights_512, + (float32_t *) Weights_2048, (float32_t *) Weights_8192 + }; + + /* Initializing the pointer array with the cos factor table base addresses of different lengths */ + float32_t *pCosFactor[4] = + { (float32_t *) cos_factors_128, (float32_t *) cos_factors_512, + (float32_t *) cos_factors_2048, (float32_t *) cos_factors_8192 + }; + + /* Initialize the DCT4 length */ + S->N = N; + + /* Initialize the half of DCT4 length */ + S->Nby2 = Nby2; + + /* Initialize the DCT4 Normalizing factor */ + S->normalize = normalize; + + /* Initialize Real FFT Instance */ + S->pRfft = S_RFFT; + + /* Initialize Complex FFT Instance */ + S->pCfft = S_CFFT; + + switch (N) + { + /* Initialize the table modifier values */ + case 8192U: + S->pTwiddle = twiddlePtr[3]; + S->pCosFactor = pCosFactor[3]; + break; + case 2048U: + S->pTwiddle = twiddlePtr[2]; + S->pCosFactor = pCosFactor[2]; + break; + case 512U: + S->pTwiddle = twiddlePtr[1]; + S->pCosFactor = pCosFactor[1]; + break; + case 128U: + S->pTwiddle = twiddlePtr[0]; + S->pCosFactor = pCosFactor[0]; + break; + default: + status = ARM_MATH_ARGUMENT_ERROR; + } + + /* Initialize the RFFT/RIFFT */ + arm_rfft_init_f32(S->pRfft, S->pCfft, S->N, 0U, 1U); + + /* return the status of DCT4 Init function */ + return (status); +} + +/** + * @} end of DCT4_IDCT4 group + */ diff --git a/fw/hid-dials/Drivers/CMSIS/DSP/Source/TransformFunctions/arm_dct4_init_q15.c b/fw/hid-dials/Drivers/CMSIS/DSP/Source/TransformFunctions/arm_dct4_init_q15.c new file mode 100644 index 0000000..d3401bc --- /dev/null +++ b/fw/hid-dials/Drivers/CMSIS/DSP/Source/TransformFunctions/arm_dct4_init_q15.c @@ -0,0 +1,4280 @@ +/* ---------------------------------------------------------------------- + * Project: CMSIS DSP Library + * Title: arm_dct4_init_q15.c + * Description: Initialization function of DCT-4 & IDCT4 Q15 + * + * $Date: 27. January 2017 + * $Revision: V.1.5.1 + * + * Target Processor: Cortex-M cores + * -------------------------------------------------------------------- */ +/* + * Copyright (C) 2010-2017 ARM Limited or its affiliates. All rights reserved. + * + * SPDX-License-Identifier: Apache-2.0 + * + * Licensed under the Apache License, Version 2.0 (the License); you may + * not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an AS IS BASIS, WITHOUT + * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ + +#include "arm_math.h" + +/** + * @ingroup DCT4_IDCT4 + */ + +/** + * @addtogroup DCT4_IDCT4_Table DCT Type IV Tables + * @{ + */ + +/* +* @brief Weights Table +*/ + +/** + * \par + * Weights tables are generated using the formula :
weights[n] = e^(-j*n*pi/(2*N))
+ * \par + * C command to generate the table + *
+ * for(i = 0; i< N; i++)
+ * {
+ *   weights[2*i]= cos(i*c);
+ *   weights[(2*i)+1]= -sin(i * c);
+ * } 
+ * \par + * where N is the Number of weights to be calculated and c is pi/(2*N) + * \par + * Converted the output to q15 format by multiplying with 2^31 and saturated if required. + * \par + * In the tables below the real and imaginary values are placed alternatively, hence the + * array length is 2*N. + */ + +static const q15_t ALIGN4 WeightsQ15_128[256] = { + (q15_t)0x7fff, (q15_t)0x0, (q15_t)0x7ffd, (q15_t)0xfe6e, (q15_t)0x7ff6, (q15_t)0xfcdc, (q15_t)0x7fe9, (q15_t)0xfb4a, + (q15_t)0x7fd8, (q15_t)0xf9b9, (q15_t)0x7fc2, (q15_t)0xf827, (q15_t)0x7fa7, (q15_t)0xf696, (q15_t)0x7f87, (q15_t)0xf505, + (q15_t)0x7f62, (q15_t)0xf375, (q15_t)0x7f38, (q15_t)0xf1e5, (q15_t)0x7f09, (q15_t)0xf055, (q15_t)0x7ed5, (q15_t)0xeec7, + (q15_t)0x7e9d, (q15_t)0xed38, (q15_t)0x7e5f, (q15_t)0xebab, (q15_t)0x7e1d, (q15_t)0xea1e, (q15_t)0x7dd6, (q15_t)0xe893, + (q15_t)0x7d8a, (q15_t)0xe708, (q15_t)0x7d39, (q15_t)0xe57e, (q15_t)0x7ce3, (q15_t)0xe3f5, (q15_t)0x7c89, (q15_t)0xe26d, + (q15_t)0x7c29, (q15_t)0xe0e7, (q15_t)0x7bc5, (q15_t)0xdf61, (q15_t)0x7b5d, (q15_t)0xdddd, (q15_t)0x7aef, (q15_t)0xdc5a, + (q15_t)0x7a7d, (q15_t)0xdad8, (q15_t)0x7a05, (q15_t)0xd958, (q15_t)0x798a, (q15_t)0xd7da, (q15_t)0x7909, (q15_t)0xd65d, + (q15_t)0x7884, (q15_t)0xd4e1, (q15_t)0x77fa, (q15_t)0xd368, (q15_t)0x776c, (q15_t)0xd1ef, (q15_t)0x76d9, (q15_t)0xd079, + (q15_t)0x7641, (q15_t)0xcf05, (q15_t)0x75a5, (q15_t)0xcd92, (q15_t)0x7504, (q15_t)0xcc22, (q15_t)0x745f, (q15_t)0xcab3, + (q15_t)0x73b5, (q15_t)0xc946, (q15_t)0x7307, (q15_t)0xc7dc, (q15_t)0x7255, (q15_t)0xc674, (q15_t)0x719e, (q15_t)0xc50e, + (q15_t)0x70e2, (q15_t)0xc3aa, (q15_t)0x7023, (q15_t)0xc248, (q15_t)0x6f5f, (q15_t)0xc0e9, (q15_t)0x6e96, (q15_t)0xbf8d, + (q15_t)0x6dca, (q15_t)0xbe32, (q15_t)0x6cf9, (q15_t)0xbcdb, (q15_t)0x6c24, (q15_t)0xbb86, (q15_t)0x6b4a, (q15_t)0xba33, + (q15_t)0x6a6d, (q15_t)0xb8e4, (q15_t)0x698c, (q15_t)0xb797, (q15_t)0x68a6, (q15_t)0xb64c, (q15_t)0x67bd, (q15_t)0xb505, + (q15_t)0x66cf, (q15_t)0xb3c1, (q15_t)0x65dd, (q15_t)0xb27f, (q15_t)0x64e8, (q15_t)0xb141, (q15_t)0x63ef, (q15_t)0xb005, + (q15_t)0x62f2, (q15_t)0xaecd, (q15_t)0x61f1, (q15_t)0xad97, (q15_t)0x60ec, (q15_t)0xac65, (q15_t)0x5fe3, (q15_t)0xab36, + (q15_t)0x5ed7, (q15_t)0xaa0b, (q15_t)0x5dc7, (q15_t)0xa8e3, (q15_t)0x5cb4, (q15_t)0xa7be, (q15_t)0x5b9d, (q15_t)0xa69c, + (q15_t)0x5a82, (q15_t)0xa57e, (q15_t)0x5964, (q15_t)0xa463, (q15_t)0x5842, (q15_t)0xa34c, (q15_t)0x571d, (q15_t)0xa239, + (q15_t)0x55f5, (q15_t)0xa129, (q15_t)0x54ca, (q15_t)0xa01d, (q15_t)0x539b, (q15_t)0x9f14, (q15_t)0x5269, (q15_t)0x9e0f, + (q15_t)0x5133, (q15_t)0x9d0e, (q15_t)0x4ffb, (q15_t)0x9c11, (q15_t)0x4ebf, (q15_t)0x9b18, (q15_t)0x4d81, (q15_t)0x9a23, + (q15_t)0x4c3f, (q15_t)0x9931, (q15_t)0x4afb, (q15_t)0x9843, (q15_t)0x49b4, (q15_t)0x975a, (q15_t)0x4869, (q15_t)0x9674, + (q15_t)0x471c, (q15_t)0x9593, (q15_t)0x45cd, (q15_t)0x94b6, (q15_t)0x447a, (q15_t)0x93dc, (q15_t)0x4325, (q15_t)0x9307, + (q15_t)0x41ce, (q15_t)0x9236, (q15_t)0x4073, (q15_t)0x916a, (q15_t)0x3f17, (q15_t)0x90a1, (q15_t)0x3db8, (q15_t)0x8fdd, + (q15_t)0x3c56, (q15_t)0x8f1e, (q15_t)0x3af2, (q15_t)0x8e62, (q15_t)0x398c, (q15_t)0x8dab, (q15_t)0x3824, (q15_t)0x8cf9, + (q15_t)0x36ba, (q15_t)0x8c4b, (q15_t)0x354d, (q15_t)0x8ba1, (q15_t)0x33de, (q15_t)0x8afc, (q15_t)0x326e, (q15_t)0x8a5b, + (q15_t)0x30fb, (q15_t)0x89bf, (q15_t)0x2f87, (q15_t)0x8927, (q15_t)0x2e11, (q15_t)0x8894, (q15_t)0x2c98, (q15_t)0x8806, + (q15_t)0x2b1f, (q15_t)0x877c, (q15_t)0x29a3, (q15_t)0x86f7, (q15_t)0x2826, (q15_t)0x8676, (q15_t)0x26a8, (q15_t)0x85fb, + (q15_t)0x2528, (q15_t)0x8583, (q15_t)0x23a6, (q15_t)0x8511, (q15_t)0x2223, (q15_t)0x84a3, (q15_t)0x209f, (q15_t)0x843b, + (q15_t)0x1f19, (q15_t)0x83d7, (q15_t)0x1d93, (q15_t)0x8377, (q15_t)0x1c0b, (q15_t)0x831d, (q15_t)0x1a82, (q15_t)0x82c7, + (q15_t)0x18f8, (q15_t)0x8276, (q15_t)0x176d, (q15_t)0x822a, (q15_t)0x15e2, (q15_t)0x81e3, (q15_t)0x1455, (q15_t)0x81a1, + (q15_t)0x12c8, (q15_t)0x8163, (q15_t)0x1139, (q15_t)0x812b, (q15_t)0xfab, (q15_t)0x80f7, (q15_t)0xe1b, (q15_t)0x80c8, + (q15_t)0xc8b, (q15_t)0x809e, (q15_t)0xafb, (q15_t)0x8079, (q15_t)0x96a, (q15_t)0x8059, (q15_t)0x7d9, (q15_t)0x803e, + (q15_t)0x647, (q15_t)0x8028, (q15_t)0x4b6, (q15_t)0x8017, (q15_t)0x324, (q15_t)0x800a, (q15_t)0x192, (q15_t)0x8003 +}; + +static const q15_t ALIGN4 WeightsQ15_512[1024] = { + (q15_t)0x7fff, (q15_t)0x0, (q15_t)0x7fff, (q15_t)0xff9c, (q15_t)0x7fff, (q15_t)0xff37, (q15_t)0x7ffe, (q15_t)0xfed3, + (q15_t)0x7ffd, (q15_t)0xfe6e, (q15_t)0x7ffc, (q15_t)0xfe0a, (q15_t)0x7ffa, (q15_t)0xfda5, (q15_t)0x7ff8, (q15_t)0xfd41, + (q15_t)0x7ff6, (q15_t)0xfcdc, (q15_t)0x7ff3, (q15_t)0xfc78, (q15_t)0x7ff0, (q15_t)0xfc13, (q15_t)0x7fed, (q15_t)0xfbaf, + (q15_t)0x7fe9, (q15_t)0xfb4a, (q15_t)0x7fe5, (q15_t)0xfae6, (q15_t)0x7fe1, (q15_t)0xfa81, (q15_t)0x7fdd, (q15_t)0xfa1d, + (q15_t)0x7fd8, (q15_t)0xf9b9, (q15_t)0x7fd3, (q15_t)0xf954, (q15_t)0x7fce, (q15_t)0xf8f0, (q15_t)0x7fc8, (q15_t)0xf88b, + (q15_t)0x7fc2, (q15_t)0xf827, (q15_t)0x7fbc, (q15_t)0xf7c3, (q15_t)0x7fb5, (q15_t)0xf75e, (q15_t)0x7fae, (q15_t)0xf6fa, + (q15_t)0x7fa7, (q15_t)0xf696, (q15_t)0x7f9f, (q15_t)0xf632, (q15_t)0x7f97, (q15_t)0xf5cd, (q15_t)0x7f8f, (q15_t)0xf569, + (q15_t)0x7f87, (q15_t)0xf505, (q15_t)0x7f7e, (q15_t)0xf4a1, (q15_t)0x7f75, (q15_t)0xf43d, (q15_t)0x7f6b, (q15_t)0xf3d9, + (q15_t)0x7f62, (q15_t)0xf375, (q15_t)0x7f58, (q15_t)0xf311, (q15_t)0x7f4d, (q15_t)0xf2ad, (q15_t)0x7f43, (q15_t)0xf249, + (q15_t)0x7f38, (q15_t)0xf1e5, (q15_t)0x7f2d, (q15_t)0xf181, (q15_t)0x7f21, (q15_t)0xf11d, (q15_t)0x7f15, (q15_t)0xf0b9, + (q15_t)0x7f09, (q15_t)0xf055, (q15_t)0x7efd, (q15_t)0xeff2, (q15_t)0x7ef0, (q15_t)0xef8e, (q15_t)0x7ee3, (q15_t)0xef2a, + (q15_t)0x7ed5, (q15_t)0xeec7, (q15_t)0x7ec8, (q15_t)0xee63, (q15_t)0x7eba, (q15_t)0xedff, (q15_t)0x7eab, (q15_t)0xed9c, + (q15_t)0x7e9d, (q15_t)0xed38, (q15_t)0x7e8e, (q15_t)0xecd5, (q15_t)0x7e7f, (q15_t)0xec72, (q15_t)0x7e6f, (q15_t)0xec0e, + (q15_t)0x7e5f, (q15_t)0xebab, (q15_t)0x7e4f, (q15_t)0xeb48, (q15_t)0x7e3f, (q15_t)0xeae5, (q15_t)0x7e2e, (q15_t)0xea81, + (q15_t)0x7e1d, (q15_t)0xea1e, (q15_t)0x7e0c, (q15_t)0xe9bb, (q15_t)0x7dfa, (q15_t)0xe958, (q15_t)0x7de8, (q15_t)0xe8f6, + (q15_t)0x7dd6, (q15_t)0xe893, (q15_t)0x7dc3, (q15_t)0xe830, (q15_t)0x7db0, (q15_t)0xe7cd, (q15_t)0x7d9d, (q15_t)0xe76a, + (q15_t)0x7d8a, (q15_t)0xe708, (q15_t)0x7d76, (q15_t)0xe6a5, (q15_t)0x7d62, (q15_t)0xe643, (q15_t)0x7d4e, (q15_t)0xe5e0, + (q15_t)0x7d39, (q15_t)0xe57e, (q15_t)0x7d24, (q15_t)0xe51c, (q15_t)0x7d0f, (q15_t)0xe4b9, (q15_t)0x7cf9, (q15_t)0xe457, + (q15_t)0x7ce3, (q15_t)0xe3f5, (q15_t)0x7ccd, (q15_t)0xe393, (q15_t)0x7cb7, (q15_t)0xe331, (q15_t)0x7ca0, (q15_t)0xe2cf, + (q15_t)0x7c89, (q15_t)0xe26d, (q15_t)0x7c71, (q15_t)0xe20b, (q15_t)0x7c5a, (q15_t)0xe1aa, (q15_t)0x7c42, (q15_t)0xe148, + (q15_t)0x7c29, (q15_t)0xe0e7, (q15_t)0x7c11, (q15_t)0xe085, (q15_t)0x7bf8, (q15_t)0xe024, (q15_t)0x7bdf, (q15_t)0xdfc2, + (q15_t)0x7bc5, (q15_t)0xdf61, (q15_t)0x7bac, (q15_t)0xdf00, (q15_t)0x7b92, (q15_t)0xde9f, (q15_t)0x7b77, (q15_t)0xde3e, + (q15_t)0x7b5d, (q15_t)0xdddd, (q15_t)0x7b42, (q15_t)0xdd7c, (q15_t)0x7b26, (q15_t)0xdd1b, (q15_t)0x7b0b, (q15_t)0xdcbb, + (q15_t)0x7aef, (q15_t)0xdc5a, (q15_t)0x7ad3, (q15_t)0xdbf9, (q15_t)0x7ab6, (q15_t)0xdb99, (q15_t)0x7a9a, (q15_t)0xdb39, + (q15_t)0x7a7d, (q15_t)0xdad8, (q15_t)0x7a5f, (q15_t)0xda78, (q15_t)0x7a42, (q15_t)0xda18, (q15_t)0x7a24, (q15_t)0xd9b8, + (q15_t)0x7a05, (q15_t)0xd958, (q15_t)0x79e7, (q15_t)0xd8f9, (q15_t)0x79c8, (q15_t)0xd899, (q15_t)0x79a9, (q15_t)0xd839, + (q15_t)0x798a, (q15_t)0xd7da, (q15_t)0x796a, (q15_t)0xd77a, (q15_t)0x794a, (q15_t)0xd71b, (q15_t)0x792a, (q15_t)0xd6bc, + (q15_t)0x7909, (q15_t)0xd65d, (q15_t)0x78e8, (q15_t)0xd5fe, (q15_t)0x78c7, (q15_t)0xd59f, (q15_t)0x78a6, (q15_t)0xd540, + (q15_t)0x7884, (q15_t)0xd4e1, (q15_t)0x7862, (q15_t)0xd483, (q15_t)0x7840, (q15_t)0xd424, (q15_t)0x781d, (q15_t)0xd3c6, + (q15_t)0x77fa, (q15_t)0xd368, (q15_t)0x77d7, (q15_t)0xd309, (q15_t)0x77b4, (q15_t)0xd2ab, (q15_t)0x7790, (q15_t)0xd24d, + (q15_t)0x776c, (q15_t)0xd1ef, (q15_t)0x7747, (q15_t)0xd192, (q15_t)0x7723, (q15_t)0xd134, (q15_t)0x76fe, (q15_t)0xd0d7, + (q15_t)0x76d9, (q15_t)0xd079, (q15_t)0x76b3, (q15_t)0xd01c, (q15_t)0x768e, (q15_t)0xcfbf, (q15_t)0x7668, (q15_t)0xcf62, + (q15_t)0x7641, (q15_t)0xcf05, (q15_t)0x761b, (q15_t)0xcea8, (q15_t)0x75f4, (q15_t)0xce4b, (q15_t)0x75cc, (q15_t)0xcdef, + (q15_t)0x75a5, (q15_t)0xcd92, (q15_t)0x757d, (q15_t)0xcd36, (q15_t)0x7555, (q15_t)0xccda, (q15_t)0x752d, (q15_t)0xcc7e, + (q15_t)0x7504, (q15_t)0xcc22, (q15_t)0x74db, (q15_t)0xcbc6, (q15_t)0x74b2, (q15_t)0xcb6a, (q15_t)0x7489, (q15_t)0xcb0e, + (q15_t)0x745f, (q15_t)0xcab3, (q15_t)0x7435, (q15_t)0xca58, (q15_t)0x740b, (q15_t)0xc9fc, (q15_t)0x73e0, (q15_t)0xc9a1, + (q15_t)0x73b5, (q15_t)0xc946, (q15_t)0x738a, (q15_t)0xc8ec, (q15_t)0x735f, (q15_t)0xc891, (q15_t)0x7333, (q15_t)0xc836, + (q15_t)0x7307, (q15_t)0xc7dc, (q15_t)0x72db, (q15_t)0xc782, (q15_t)0x72af, (q15_t)0xc728, (q15_t)0x7282, (q15_t)0xc6ce, + (q15_t)0x7255, (q15_t)0xc674, (q15_t)0x7227, (q15_t)0xc61a, (q15_t)0x71fa, (q15_t)0xc5c0, (q15_t)0x71cc, (q15_t)0xc567, + (q15_t)0x719e, (q15_t)0xc50e, (q15_t)0x716f, (q15_t)0xc4b4, (q15_t)0x7141, (q15_t)0xc45b, (q15_t)0x7112, (q15_t)0xc403, + (q15_t)0x70e2, (q15_t)0xc3aa, (q15_t)0x70b3, (q15_t)0xc351, (q15_t)0x7083, (q15_t)0xc2f9, (q15_t)0x7053, (q15_t)0xc2a0, + (q15_t)0x7023, (q15_t)0xc248, (q15_t)0x6ff2, (q15_t)0xc1f0, (q15_t)0x6fc1, (q15_t)0xc198, (q15_t)0x6f90, (q15_t)0xc141, + (q15_t)0x6f5f, (q15_t)0xc0e9, (q15_t)0x6f2d, (q15_t)0xc092, (q15_t)0x6efb, (q15_t)0xc03b, (q15_t)0x6ec9, (q15_t)0xbfe3, + (q15_t)0x6e96, (q15_t)0xbf8d, (q15_t)0x6e63, (q15_t)0xbf36, (q15_t)0x6e30, (q15_t)0xbedf, (q15_t)0x6dfd, (q15_t)0xbe89, + (q15_t)0x6dca, (q15_t)0xbe32, (q15_t)0x6d96, (q15_t)0xbddc, (q15_t)0x6d62, (q15_t)0xbd86, (q15_t)0x6d2d, (q15_t)0xbd30, + (q15_t)0x6cf9, (q15_t)0xbcdb, (q15_t)0x6cc4, (q15_t)0xbc85, (q15_t)0x6c8f, (q15_t)0xbc30, (q15_t)0x6c59, 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(q15_t)0x8aab, (q15_t)0x32ca, (q15_t)0x8a83, + (q15_t)0x326e, (q15_t)0x8a5b, (q15_t)0x3211, (q15_t)0x8a34, (q15_t)0x31b5, (q15_t)0x8a0c, (q15_t)0x3158, (q15_t)0x89e5, + (q15_t)0x30fb, (q15_t)0x89bf, (q15_t)0x309e, (q15_t)0x8998, (q15_t)0x3041, (q15_t)0x8972, (q15_t)0x2fe4, (q15_t)0x894d, + (q15_t)0x2f87, (q15_t)0x8927, (q15_t)0x2f29, (q15_t)0x8902, (q15_t)0x2ecc, (q15_t)0x88dd, (q15_t)0x2e6e, (q15_t)0x88b9, + (q15_t)0x2e11, (q15_t)0x8894, (q15_t)0x2db3, (q15_t)0x8870, (q15_t)0x2d55, (q15_t)0x884c, (q15_t)0x2cf7, (q15_t)0x8829, + (q15_t)0x2c98, (q15_t)0x8806, (q15_t)0x2c3a, (q15_t)0x87e3, (q15_t)0x2bdc, (q15_t)0x87c0, (q15_t)0x2b7d, (q15_t)0x879e, + (q15_t)0x2b1f, (q15_t)0x877c, (q15_t)0x2ac0, (q15_t)0x875a, (q15_t)0x2a61, (q15_t)0x8739, (q15_t)0x2a02, (q15_t)0x8718, + (q15_t)0x29a3, (q15_t)0x86f7, (q15_t)0x2944, (q15_t)0x86d6, (q15_t)0x28e5, (q15_t)0x86b6, (q15_t)0x2886, (q15_t)0x8696, + (q15_t)0x2826, (q15_t)0x8676, (q15_t)0x27c7, (q15_t)0x8657, (q15_t)0x2767, (q15_t)0x8638, (q15_t)0x2707, (q15_t)0x8619, + (q15_t)0x26a8, (q15_t)0x85fb, (q15_t)0x2648, (q15_t)0x85dc, (q15_t)0x25e8, (q15_t)0x85be, (q15_t)0x2588, (q15_t)0x85a1, + (q15_t)0x2528, (q15_t)0x8583, (q15_t)0x24c7, (q15_t)0x8566, (q15_t)0x2467, (q15_t)0x854a, (q15_t)0x2407, (q15_t)0x852d, + (q15_t)0x23a6, (q15_t)0x8511, (q15_t)0x2345, (q15_t)0x84f5, (q15_t)0x22e5, (q15_t)0x84da, (q15_t)0x2284, (q15_t)0x84be, + (q15_t)0x2223, (q15_t)0x84a3, (q15_t)0x21c2, (q15_t)0x8489, (q15_t)0x2161, (q15_t)0x846e, (q15_t)0x2100, (q15_t)0x8454, + (q15_t)0x209f, (q15_t)0x843b, (q15_t)0x203e, (q15_t)0x8421, (q15_t)0x1fdc, (q15_t)0x8408, (q15_t)0x1f7b, (q15_t)0x83ef, + (q15_t)0x1f19, (q15_t)0x83d7, (q15_t)0x1eb8, (q15_t)0x83be, (q15_t)0x1e56, (q15_t)0x83a6, (q15_t)0x1df5, (q15_t)0x838f, + (q15_t)0x1d93, (q15_t)0x8377, (q15_t)0x1d31, (q15_t)0x8360, (q15_t)0x1ccf, (q15_t)0x8349, (q15_t)0x1c6d, (q15_t)0x8333, + (q15_t)0x1c0b, (q15_t)0x831d, (q15_t)0x1ba9, (q15_t)0x8307, (q15_t)0x1b47, (q15_t)0x82f1, (q15_t)0x1ae4, (q15_t)0x82dc, + (q15_t)0x1a82, (q15_t)0x82c7, (q15_t)0x1a20, (q15_t)0x82b2, (q15_t)0x19bd, (q15_t)0x829e, (q15_t)0x195b, (q15_t)0x828a, + (q15_t)0x18f8, (q15_t)0x8276, (q15_t)0x1896, (q15_t)0x8263, (q15_t)0x1833, (q15_t)0x8250, (q15_t)0x17d0, (q15_t)0x823d, + (q15_t)0x176d, (q15_t)0x822a, (q15_t)0x170a, (q15_t)0x8218, (q15_t)0x16a8, (q15_t)0x8206, (q15_t)0x1645, (q15_t)0x81f4, + (q15_t)0x15e2, (q15_t)0x81e3, (q15_t)0x157f, (q15_t)0x81d2, (q15_t)0x151b, (q15_t)0x81c1, (q15_t)0x14b8, (q15_t)0x81b1, + (q15_t)0x1455, (q15_t)0x81a1, (q15_t)0x13f2, (q15_t)0x8191, (q15_t)0x138e, (q15_t)0x8181, (q15_t)0x132b, (q15_t)0x8172, + (q15_t)0x12c8, (q15_t)0x8163, (q15_t)0x1264, (q15_t)0x8155, (q15_t)0x1201, (q15_t)0x8146, (q15_t)0x119d, (q15_t)0x8138, + (q15_t)0x1139, (q15_t)0x812b, (q15_t)0x10d6, (q15_t)0x811d, (q15_t)0x1072, (q15_t)0x8110, (q15_t)0x100e, (q15_t)0x8103, + (q15_t)0xfab, (q15_t)0x80f7, (q15_t)0xf47, (q15_t)0x80eb, (q15_t)0xee3, (q15_t)0x80df, (q15_t)0xe7f, (q15_t)0x80d3, + (q15_t)0xe1b, (q15_t)0x80c8, (q15_t)0xdb7, (q15_t)0x80bd, (q15_t)0xd53, (q15_t)0x80b3, (q15_t)0xcef, (q15_t)0x80a8, + (q15_t)0xc8b, (q15_t)0x809e, (q15_t)0xc27, (q15_t)0x8095, (q15_t)0xbc3, (q15_t)0x808b, (q15_t)0xb5f, (q15_t)0x8082, + (q15_t)0xafb, (q15_t)0x8079, (q15_t)0xa97, (q15_t)0x8071, (q15_t)0xa33, (q15_t)0x8069, (q15_t)0x9ce, (q15_t)0x8061, + (q15_t)0x96a, (q15_t)0x8059, (q15_t)0x906, (q15_t)0x8052, (q15_t)0x8a2, (q15_t)0x804b, (q15_t)0x83d, (q15_t)0x8044, + (q15_t)0x7d9, (q15_t)0x803e, (q15_t)0x775, (q15_t)0x8038, (q15_t)0x710, (q15_t)0x8032, (q15_t)0x6ac, (q15_t)0x802d, + (q15_t)0x647, (q15_t)0x8028, (q15_t)0x5e3, (q15_t)0x8023, (q15_t)0x57f, (q15_t)0x801f, (q15_t)0x51a, (q15_t)0x801b, + (q15_t)0x4b6, (q15_t)0x8017, (q15_t)0x451, (q15_t)0x8013, (q15_t)0x3ed, (q15_t)0x8010, (q15_t)0x388, (q15_t)0x800d, + (q15_t)0x324, (q15_t)0x800a, (q15_t)0x2bf, (q15_t)0x8008, (q15_t)0x25b, (q15_t)0x8006, (q15_t)0x1f6, (q15_t)0x8004, + (q15_t)0x192, (q15_t)0x8003, (q15_t)0x12d, (q15_t)0x8002, (q15_t)0xc9, (q15_t)0x8001, (q15_t)0x64, (q15_t)0x8001 +}; + +static const q15_t ALIGN4 WeightsQ15_2048[4096] = { + (q15_t)0x7fff, (q15_t)0x0, (q15_t)0x7fff, (q15_t)0xffe7, (q15_t)0x7fff, (q15_t)0xffce, (q15_t)0x7fff, (q15_t)0xffb5, + (q15_t)0x7fff, (q15_t)0xff9c, (q15_t)0x7fff, (q15_t)0xff83, (q15_t)0x7fff, (q15_t)0xff6a, (q15_t)0x7fff, (q15_t)0xff51, + (q15_t)0x7fff, (q15_t)0xff37, (q15_t)0x7fff, (q15_t)0xff1e, (q15_t)0x7fff, (q15_t)0xff05, (q15_t)0x7ffe, (q15_t)0xfeec, + (q15_t)0x7ffe, (q15_t)0xfed3, (q15_t)0x7ffe, (q15_t)0xfeba, (q15_t)0x7ffe, (q15_t)0xfea1, (q15_t)0x7ffd, (q15_t)0xfe88, + (q15_t)0x7ffd, (q15_t)0xfe6e, (q15_t)0x7ffd, (q15_t)0xfe55, (q15_t)0x7ffc, (q15_t)0xfe3c, (q15_t)0x7ffc, (q15_t)0xfe23, + (q15_t)0x7ffc, (q15_t)0xfe0a, (q15_t)0x7ffb, (q15_t)0xfdf1, (q15_t)0x7ffb, (q15_t)0xfdd8, (q15_t)0x7ffa, (q15_t)0xfdbe, + (q15_t)0x7ffa, (q15_t)0xfda5, (q15_t)0x7ff9, (q15_t)0xfd8c, (q15_t)0x7ff9, (q15_t)0xfd73, (q15_t)0x7ff8, (q15_t)0xfd5a, + (q15_t)0x7ff8, (q15_t)0xfd41, (q15_t)0x7ff7, (q15_t)0xfd28, (q15_t)0x7ff7, (q15_t)0xfd0f, (q15_t)0x7ff6, (q15_t)0xfcf5, + (q15_t)0x7ff6, (q15_t)0xfcdc, (q15_t)0x7ff5, (q15_t)0xfcc3, (q15_t)0x7ff4, (q15_t)0xfcaa, (q15_t)0x7ff4, (q15_t)0xfc91, + (q15_t)0x7ff3, (q15_t)0xfc78, (q15_t)0x7ff2, (q15_t)0xfc5f, (q15_t)0x7ff2, (q15_t)0xfc46, (q15_t)0x7ff1, (q15_t)0xfc2c, + (q15_t)0x7ff0, (q15_t)0xfc13, (q15_t)0x7fef, (q15_t)0xfbfa, (q15_t)0x7fee, (q15_t)0xfbe1, (q15_t)0x7fee, (q15_t)0xfbc8, + (q15_t)0x7fed, (q15_t)0xfbaf, (q15_t)0x7fec, (q15_t)0xfb96, (q15_t)0x7feb, (q15_t)0xfb7d, (q15_t)0x7fea, (q15_t)0xfb64, + (q15_t)0x7fe9, (q15_t)0xfb4a, (q15_t)0x7fe8, (q15_t)0xfb31, (q15_t)0x7fe7, (q15_t)0xfb18, (q15_t)0x7fe6, (q15_t)0xfaff, + (q15_t)0x7fe5, (q15_t)0xfae6, (q15_t)0x7fe4, (q15_t)0xfacd, (q15_t)0x7fe3, (q15_t)0xfab4, (q15_t)0x7fe2, (q15_t)0xfa9b, + (q15_t)0x7fe1, (q15_t)0xfa81, (q15_t)0x7fe0, (q15_t)0xfa68, (q15_t)0x7fdf, (q15_t)0xfa4f, (q15_t)0x7fde, (q15_t)0xfa36, + (q15_t)0x7fdd, (q15_t)0xfa1d, (q15_t)0x7fdc, (q15_t)0xfa04, (q15_t)0x7fda, (q15_t)0xf9eb, (q15_t)0x7fd9, (q15_t)0xf9d2, + (q15_t)0x7fd8, (q15_t)0xf9b9, (q15_t)0x7fd7, (q15_t)0xf9a0, (q15_t)0x7fd6, (q15_t)0xf986, (q15_t)0x7fd4, (q15_t)0xf96d, + (q15_t)0x7fd3, (q15_t)0xf954, (q15_t)0x7fd2, (q15_t)0xf93b, (q15_t)0x7fd0, (q15_t)0xf922, (q15_t)0x7fcf, (q15_t)0xf909, + (q15_t)0x7fce, (q15_t)0xf8f0, (q15_t)0x7fcc, (q15_t)0xf8d7, (q15_t)0x7fcb, (q15_t)0xf8be, (q15_t)0x7fc9, (q15_t)0xf8a5, + (q15_t)0x7fc8, (q15_t)0xf88b, (q15_t)0x7fc6, (q15_t)0xf872, (q15_t)0x7fc5, (q15_t)0xf859, (q15_t)0x7fc3, (q15_t)0xf840, + (q15_t)0x7fc2, (q15_t)0xf827, (q15_t)0x7fc0, (q15_t)0xf80e, (q15_t)0x7fbf, (q15_t)0xf7f5, (q15_t)0x7fbd, (q15_t)0xf7dc, + (q15_t)0x7fbc, (q15_t)0xf7c3, (q15_t)0x7fba, (q15_t)0xf7aa, (q15_t)0x7fb8, (q15_t)0xf791, (q15_t)0x7fb7, (q15_t)0xf778, + (q15_t)0x7fb5, (q15_t)0xf75e, (q15_t)0x7fb3, (q15_t)0xf745, (q15_t)0x7fb1, (q15_t)0xf72c, (q15_t)0x7fb0, (q15_t)0xf713, + (q15_t)0x7fae, (q15_t)0xf6fa, (q15_t)0x7fac, (q15_t)0xf6e1, (q15_t)0x7faa, (q15_t)0xf6c8, (q15_t)0x7fa9, (q15_t)0xf6af, + (q15_t)0x7fa7, (q15_t)0xf696, (q15_t)0x7fa5, (q15_t)0xf67d, (q15_t)0x7fa3, (q15_t)0xf664, (q15_t)0x7fa1, (q15_t)0xf64b, + (q15_t)0x7f9f, (q15_t)0xf632, (q15_t)0x7f9d, (q15_t)0xf619, (q15_t)0x7f9b, (q15_t)0xf600, (q15_t)0x7f99, (q15_t)0xf5e7, + (q15_t)0x7f97, (q15_t)0xf5cd, (q15_t)0x7f95, (q15_t)0xf5b4, (q15_t)0x7f93, (q15_t)0xf59b, (q15_t)0x7f91, (q15_t)0xf582, + (q15_t)0x7f8f, (q15_t)0xf569, (q15_t)0x7f8d, (q15_t)0xf550, (q15_t)0x7f8b, (q15_t)0xf537, (q15_t)0x7f89, (q15_t)0xf51e, + (q15_t)0x7f87, (q15_t)0xf505, (q15_t)0x7f85, (q15_t)0xf4ec, (q15_t)0x7f82, (q15_t)0xf4d3, (q15_t)0x7f80, (q15_t)0xf4ba, + (q15_t)0x7f7e, (q15_t)0xf4a1, (q15_t)0x7f7c, (q15_t)0xf488, (q15_t)0x7f79, (q15_t)0xf46f, (q15_t)0x7f77, (q15_t)0xf456, + (q15_t)0x7f75, (q15_t)0xf43d, (q15_t)0x7f72, (q15_t)0xf424, (q15_t)0x7f70, (q15_t)0xf40b, (q15_t)0x7f6e, (q15_t)0xf3f2, + (q15_t)0x7f6b, (q15_t)0xf3d9, (q15_t)0x7f69, (q15_t)0xf3c0, (q15_t)0x7f67, (q15_t)0xf3a7, (q15_t)0x7f64, (q15_t)0xf38e, + (q15_t)0x7f62, (q15_t)0xf375, (q15_t)0x7f5f, (q15_t)0xf35c, (q15_t)0x7f5d, (q15_t)0xf343, (q15_t)0x7f5a, (q15_t)0xf32a, + (q15_t)0x7f58, (q15_t)0xf311, (q15_t)0x7f55, (q15_t)0xf2f8, (q15_t)0x7f53, (q15_t)0xf2df, (q15_t)0x7f50, (q15_t)0xf2c6, + (q15_t)0x7f4d, (q15_t)0xf2ad, (q15_t)0x7f4b, (q15_t)0xf294, (q15_t)0x7f48, (q15_t)0xf27b, (q15_t)0x7f45, (q15_t)0xf262, + (q15_t)0x7f43, (q15_t)0xf249, (q15_t)0x7f40, (q15_t)0xf230, (q15_t)0x7f3d, (q15_t)0xf217, (q15_t)0x7f3b, (q15_t)0xf1fe, + (q15_t)0x7f38, (q15_t)0xf1e5, (q15_t)0x7f35, (q15_t)0xf1cc, (q15_t)0x7f32, (q15_t)0xf1b3, (q15_t)0x7f2f, (q15_t)0xf19a, + (q15_t)0x7f2d, (q15_t)0xf181, (q15_t)0x7f2a, (q15_t)0xf168, (q15_t)0x7f27, (q15_t)0xf14f, (q15_t)0x7f24, (q15_t)0xf136, + (q15_t)0x7f21, (q15_t)0xf11d, (q15_t)0x7f1e, (q15_t)0xf104, (q15_t)0x7f1b, (q15_t)0xf0eb, (q15_t)0x7f18, (q15_t)0xf0d2, + (q15_t)0x7f15, (q15_t)0xf0b9, (q15_t)0x7f12, (q15_t)0xf0a0, (q15_t)0x7f0f, (q15_t)0xf087, (q15_t)0x7f0c, (q15_t)0xf06e, + (q15_t)0x7f09, (q15_t)0xf055, (q15_t)0x7f06, (q15_t)0xf03c, (q15_t)0x7f03, (q15_t)0xf023, (q15_t)0x7f00, (q15_t)0xf00b, + (q15_t)0x7efd, (q15_t)0xeff2, (q15_t)0x7ef9, (q15_t)0xefd9, (q15_t)0x7ef6, (q15_t)0xefc0, (q15_t)0x7ef3, (q15_t)0xefa7, + (q15_t)0x7ef0, (q15_t)0xef8e, (q15_t)0x7eed, (q15_t)0xef75, (q15_t)0x7ee9, (q15_t)0xef5c, (q15_t)0x7ee6, (q15_t)0xef43, + (q15_t)0x7ee3, (q15_t)0xef2a, (q15_t)0x7edf, (q15_t)0xef11, (q15_t)0x7edc, (q15_t)0xeef8, (q15_t)0x7ed9, (q15_t)0xeedf, + (q15_t)0x7ed5, (q15_t)0xeec7, (q15_t)0x7ed2, (q15_t)0xeeae, (q15_t)0x7ecf, (q15_t)0xee95, (q15_t)0x7ecb, (q15_t)0xee7c, + (q15_t)0x7ec8, (q15_t)0xee63, (q15_t)0x7ec4, (q15_t)0xee4a, (q15_t)0x7ec1, (q15_t)0xee31, (q15_t)0x7ebd, (q15_t)0xee18, + (q15_t)0x7eba, (q15_t)0xedff, (q15_t)0x7eb6, (q15_t)0xede7, (q15_t)0x7eb3, (q15_t)0xedce, (q15_t)0x7eaf, (q15_t)0xedb5, + (q15_t)0x7eab, (q15_t)0xed9c, (q15_t)0x7ea8, (q15_t)0xed83, (q15_t)0x7ea4, (q15_t)0xed6a, 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(q15_t)0x8415, (q15_t)0x1ff5, (q15_t)0x840e, + (q15_t)0x1fdc, (q15_t)0x8408, (q15_t)0x1fc4, (q15_t)0x8402, (q15_t)0x1fac, (q15_t)0x83fb, (q15_t)0x1f93, (q15_t)0x83f5, + (q15_t)0x1f7b, (q15_t)0x83ef, (q15_t)0x1f63, (q15_t)0x83e9, (q15_t)0x1f4a, (q15_t)0x83e3, (q15_t)0x1f32, (q15_t)0x83dd, + (q15_t)0x1f19, (q15_t)0x83d7, (q15_t)0x1f01, (q15_t)0x83d0, (q15_t)0x1ee9, (q15_t)0x83ca, (q15_t)0x1ed0, (q15_t)0x83c4, + (q15_t)0x1eb8, (q15_t)0x83be, (q15_t)0x1ea0, (q15_t)0x83b8, (q15_t)0x1e87, (q15_t)0x83b2, (q15_t)0x1e6f, (q15_t)0x83ac, + (q15_t)0x1e56, (q15_t)0x83a6, (q15_t)0x1e3e, (q15_t)0x83a0, (q15_t)0x1e25, (q15_t)0x839a, (q15_t)0x1e0d, (q15_t)0x8394, + (q15_t)0x1df5, (q15_t)0x838f, (q15_t)0x1ddc, (q15_t)0x8389, (q15_t)0x1dc4, (q15_t)0x8383, (q15_t)0x1dab, (q15_t)0x837d, + (q15_t)0x1d93, (q15_t)0x8377, (q15_t)0x1d7a, (q15_t)0x8371, (q15_t)0x1d62, (q15_t)0x836c, (q15_t)0x1d49, (q15_t)0x8366, + (q15_t)0x1d31, (q15_t)0x8360, (q15_t)0x1d18, (q15_t)0x835a, (q15_t)0x1d00, (q15_t)0x8355, (q15_t)0x1ce8, (q15_t)0x834f, + (q15_t)0x1ccf, (q15_t)0x8349, (q15_t)0x1cb7, (q15_t)0x8344, (q15_t)0x1c9e, (q15_t)0x833e, (q15_t)0x1c86, (q15_t)0x8338, + (q15_t)0x1c6d, (q15_t)0x8333, (q15_t)0x1c55, (q15_t)0x832d, (q15_t)0x1c3c, (q15_t)0x8328, (q15_t)0x1c24, (q15_t)0x8322, + (q15_t)0x1c0b, (q15_t)0x831d, (q15_t)0x1bf2, (q15_t)0x8317, (q15_t)0x1bda, (q15_t)0x8312, (q15_t)0x1bc1, (q15_t)0x830c, + (q15_t)0x1ba9, (q15_t)0x8307, (q15_t)0x1b90, (q15_t)0x8301, (q15_t)0x1b78, (q15_t)0x82fc, (q15_t)0x1b5f, (q15_t)0x82f7, + (q15_t)0x1b47, (q15_t)0x82f1, (q15_t)0x1b2e, (q15_t)0x82ec, (q15_t)0x1b16, (q15_t)0x82e7, (q15_t)0x1afd, (q15_t)0x82e1, + (q15_t)0x1ae4, (q15_t)0x82dc, (q15_t)0x1acc, (q15_t)0x82d7, (q15_t)0x1ab3, (q15_t)0x82d1, (q15_t)0x1a9b, (q15_t)0x82cc, + (q15_t)0x1a82, (q15_t)0x82c7, (q15_t)0x1a6a, (q15_t)0x82c2, (q15_t)0x1a51, (q15_t)0x82bd, (q15_t)0x1a38, (q15_t)0x82b7, + (q15_t)0x1a20, (q15_t)0x82b2, (q15_t)0x1a07, (q15_t)0x82ad, (q15_t)0x19ef, (q15_t)0x82a8, (q15_t)0x19d6, (q15_t)0x82a3, + (q15_t)0x19bd, (q15_t)0x829e, (q15_t)0x19a5, (q15_t)0x8299, (q15_t)0x198c, (q15_t)0x8294, (q15_t)0x1973, (q15_t)0x828f, + (q15_t)0x195b, (q15_t)0x828a, (q15_t)0x1942, (q15_t)0x8285, (q15_t)0x192a, (q15_t)0x8280, (q15_t)0x1911, (q15_t)0x827b, + (q15_t)0x18f8, (q15_t)0x8276, (q15_t)0x18e0, (q15_t)0x8271, (q15_t)0x18c7, (q15_t)0x826c, (q15_t)0x18ae, (q15_t)0x8268, + (q15_t)0x1896, (q15_t)0x8263, (q15_t)0x187d, (q15_t)0x825e, (q15_t)0x1864, (q15_t)0x8259, (q15_t)0x184c, (q15_t)0x8254, + (q15_t)0x1833, (q15_t)0x8250, (q15_t)0x181a, (q15_t)0x824b, (q15_t)0x1802, (q15_t)0x8246, (q15_t)0x17e9, (q15_t)0x8241, + (q15_t)0x17d0, (q15_t)0x823d, (q15_t)0x17b7, (q15_t)0x8238, (q15_t)0x179f, (q15_t)0x8233, (q15_t)0x1786, (q15_t)0x822f, + (q15_t)0x176d, (q15_t)0x822a, (q15_t)0x1755, (q15_t)0x8226, (q15_t)0x173c, (q15_t)0x8221, (q15_t)0x1723, (q15_t)0x821c, + (q15_t)0x170a, (q15_t)0x8218, (q15_t)0x16f2, (q15_t)0x8213, (q15_t)0x16d9, (q15_t)0x820f, (q15_t)0x16c0, (q15_t)0x820a, + (q15_t)0x16a8, (q15_t)0x8206, (q15_t)0x168f, (q15_t)0x8201, (q15_t)0x1676, (q15_t)0x81fd, (q15_t)0x165d, (q15_t)0x81f9, + (q15_t)0x1645, (q15_t)0x81f4, (q15_t)0x162c, (q15_t)0x81f0, (q15_t)0x1613, (q15_t)0x81ec, (q15_t)0x15fa, (q15_t)0x81e7, + (q15_t)0x15e2, (q15_t)0x81e3, (q15_t)0x15c9, (q15_t)0x81df, (q15_t)0x15b0, (q15_t)0x81da, (q15_t)0x1597, (q15_t)0x81d6, + (q15_t)0x157f, (q15_t)0x81d2, (q15_t)0x1566, (q15_t)0x81ce, (q15_t)0x154d, (q15_t)0x81c9, (q15_t)0x1534, (q15_t)0x81c5, + (q15_t)0x151b, (q15_t)0x81c1, (q15_t)0x1503, (q15_t)0x81bd, (q15_t)0x14ea, (q15_t)0x81b9, (q15_t)0x14d1, (q15_t)0x81b5, + (q15_t)0x14b8, (q15_t)0x81b1, (q15_t)0x149f, (q15_t)0x81ad, (q15_t)0x1487, (q15_t)0x81a9, (q15_t)0x146e, (q15_t)0x81a5, + (q15_t)0x1455, (q15_t)0x81a1, (q15_t)0x143c, (q15_t)0x819d, (q15_t)0x1423, (q15_t)0x8199, (q15_t)0x140b, (q15_t)0x8195, + (q15_t)0x13f2, (q15_t)0x8191, (q15_t)0x13d9, (q15_t)0x818d, (q15_t)0x13c0, (q15_t)0x8189, (q15_t)0x13a7, (q15_t)0x8185, + (q15_t)0x138e, (q15_t)0x8181, (q15_t)0x1376, (q15_t)0x817d, (q15_t)0x135d, (q15_t)0x817a, (q15_t)0x1344, (q15_t)0x8176, + (q15_t)0x132b, (q15_t)0x8172, (q15_t)0x1312, (q15_t)0x816e, (q15_t)0x12f9, (q15_t)0x816b, (q15_t)0x12e0, (q15_t)0x8167, + (q15_t)0x12c8, (q15_t)0x8163, (q15_t)0x12af, (q15_t)0x815f, (q15_t)0x1296, (q15_t)0x815c, (q15_t)0x127d, (q15_t)0x8158, + (q15_t)0x1264, (q15_t)0x8155, (q15_t)0x124b, (q15_t)0x8151, (q15_t)0x1232, (q15_t)0x814d, (q15_t)0x1219, (q15_t)0x814a, + (q15_t)0x1201, (q15_t)0x8146, (q15_t)0x11e8, (q15_t)0x8143, (q15_t)0x11cf, (q15_t)0x813f, (q15_t)0x11b6, (q15_t)0x813c, + (q15_t)0x119d, (q15_t)0x8138, (q15_t)0x1184, (q15_t)0x8135, (q15_t)0x116b, (q15_t)0x8131, (q15_t)0x1152, (q15_t)0x812e, + (q15_t)0x1139, (q15_t)0x812b, (q15_t)0x1121, (q15_t)0x8127, (q15_t)0x1108, (q15_t)0x8124, (q15_t)0x10ef, (q15_t)0x8121, + (q15_t)0x10d6, (q15_t)0x811d, (q15_t)0x10bd, (q15_t)0x811a, (q15_t)0x10a4, (q15_t)0x8117, (q15_t)0x108b, (q15_t)0x8113, + (q15_t)0x1072, (q15_t)0x8110, (q15_t)0x1059, (q15_t)0x810d, (q15_t)0x1040, (q15_t)0x810a, (q15_t)0x1027, (q15_t)0x8107, + (q15_t)0x100e, (q15_t)0x8103, (q15_t)0xff5, (q15_t)0x8100, (q15_t)0xfdd, (q15_t)0x80fd, (q15_t)0xfc4, (q15_t)0x80fa, + (q15_t)0xfab, (q15_t)0x80f7, (q15_t)0xf92, (q15_t)0x80f4, (q15_t)0xf79, (q15_t)0x80f1, (q15_t)0xf60, (q15_t)0x80ee, + (q15_t)0xf47, (q15_t)0x80eb, (q15_t)0xf2e, (q15_t)0x80e8, (q15_t)0xf15, (q15_t)0x80e5, (q15_t)0xefc, (q15_t)0x80e2, + (q15_t)0xee3, (q15_t)0x80df, (q15_t)0xeca, (q15_t)0x80dc, (q15_t)0xeb1, (q15_t)0x80d9, (q15_t)0xe98, (q15_t)0x80d6, + (q15_t)0xe7f, (q15_t)0x80d3, (q15_t)0xe66, (q15_t)0x80d1, (q15_t)0xe4d, (q15_t)0x80ce, (q15_t)0xe34, (q15_t)0x80cb, + (q15_t)0xe1b, (q15_t)0x80c8, (q15_t)0xe02, (q15_t)0x80c5, (q15_t)0xde9, (q15_t)0x80c3, (q15_t)0xdd0, (q15_t)0x80c0, + (q15_t)0xdb7, (q15_t)0x80bd, (q15_t)0xd9e, (q15_t)0x80bb, (q15_t)0xd85, (q15_t)0x80b8, (q15_t)0xd6c, (q15_t)0x80b5, + (q15_t)0xd53, (q15_t)0x80b3, (q15_t)0xd3a, (q15_t)0x80b0, (q15_t)0xd21, (q15_t)0x80ad, (q15_t)0xd08, (q15_t)0x80ab, + (q15_t)0xcef, (q15_t)0x80a8, (q15_t)0xcd6, (q15_t)0x80a6, (q15_t)0xcbd, (q15_t)0x80a3, (q15_t)0xca4, (q15_t)0x80a1, + (q15_t)0xc8b, (q15_t)0x809e, (q15_t)0xc72, (q15_t)0x809c, (q15_t)0xc59, (q15_t)0x8099, (q15_t)0xc40, (q15_t)0x8097, + (q15_t)0xc27, (q15_t)0x8095, (q15_t)0xc0e, (q15_t)0x8092, (q15_t)0xbf5, (q15_t)0x8090, (q15_t)0xbdc, (q15_t)0x808e, + (q15_t)0xbc3, (q15_t)0x808b, (q15_t)0xbaa, (q15_t)0x8089, (q15_t)0xb91, (q15_t)0x8087, (q15_t)0xb78, (q15_t)0x8084, + (q15_t)0xb5f, (q15_t)0x8082, (q15_t)0xb46, (q15_t)0x8080, (q15_t)0xb2d, (q15_t)0x807e, (q15_t)0xb14, (q15_t)0x807b, + (q15_t)0xafb, (q15_t)0x8079, (q15_t)0xae2, (q15_t)0x8077, (q15_t)0xac9, (q15_t)0x8075, (q15_t)0xab0, (q15_t)0x8073, + (q15_t)0xa97, (q15_t)0x8071, (q15_t)0xa7e, (q15_t)0x806f, (q15_t)0xa65, (q15_t)0x806d, (q15_t)0xa4c, (q15_t)0x806b, + (q15_t)0xa33, (q15_t)0x8069, (q15_t)0xa19, (q15_t)0x8067, (q15_t)0xa00, (q15_t)0x8065, (q15_t)0x9e7, (q15_t)0x8063, + (q15_t)0x9ce, (q15_t)0x8061, (q15_t)0x9b5, (q15_t)0x805f, (q15_t)0x99c, (q15_t)0x805d, (q15_t)0x983, (q15_t)0x805b, + (q15_t)0x96a, (q15_t)0x8059, (q15_t)0x951, (q15_t)0x8057, (q15_t)0x938, (q15_t)0x8056, (q15_t)0x91f, (q15_t)0x8054, + (q15_t)0x906, (q15_t)0x8052, (q15_t)0x8ed, (q15_t)0x8050, (q15_t)0x8d4, (q15_t)0x804f, (q15_t)0x8bb, (q15_t)0x804d, + (q15_t)0x8a2, (q15_t)0x804b, (q15_t)0x888, (q15_t)0x8049, (q15_t)0x86f, (q15_t)0x8048, (q15_t)0x856, (q15_t)0x8046, + (q15_t)0x83d, (q15_t)0x8044, (q15_t)0x824, (q15_t)0x8043, (q15_t)0x80b, (q15_t)0x8041, (q15_t)0x7f2, (q15_t)0x8040, + (q15_t)0x7d9, (q15_t)0x803e, (q15_t)0x7c0, (q15_t)0x803d, (q15_t)0x7a7, (q15_t)0x803b, (q15_t)0x78e, (q15_t)0x803a, + (q15_t)0x775, (q15_t)0x8038, (q15_t)0x75b, (q15_t)0x8037, (q15_t)0x742, (q15_t)0x8035, (q15_t)0x729, (q15_t)0x8034, + (q15_t)0x710, (q15_t)0x8032, (q15_t)0x6f7, (q15_t)0x8031, (q15_t)0x6de, (q15_t)0x8030, (q15_t)0x6c5, (q15_t)0x802e, + (q15_t)0x6ac, (q15_t)0x802d, (q15_t)0x693, (q15_t)0x802c, (q15_t)0x67a, (q15_t)0x802a, (q15_t)0x660, (q15_t)0x8029, + (q15_t)0x647, (q15_t)0x8028, (q15_t)0x62e, (q15_t)0x8027, (q15_t)0x615, (q15_t)0x8026, (q15_t)0x5fc, (q15_t)0x8024, + (q15_t)0x5e3, (q15_t)0x8023, (q15_t)0x5ca, (q15_t)0x8022, (q15_t)0x5b1, (q15_t)0x8021, (q15_t)0x598, (q15_t)0x8020, + (q15_t)0x57f, (q15_t)0x801f, (q15_t)0x565, (q15_t)0x801e, (q15_t)0x54c, (q15_t)0x801d, (q15_t)0x533, (q15_t)0x801c, + (q15_t)0x51a, (q15_t)0x801b, (q15_t)0x501, (q15_t)0x801a, (q15_t)0x4e8, (q15_t)0x8019, (q15_t)0x4cf, (q15_t)0x8018, + (q15_t)0x4b6, (q15_t)0x8017, (q15_t)0x49c, (q15_t)0x8016, (q15_t)0x483, (q15_t)0x8015, (q15_t)0x46a, (q15_t)0x8014, + (q15_t)0x451, (q15_t)0x8013, (q15_t)0x438, (q15_t)0x8012, (q15_t)0x41f, (q15_t)0x8012, (q15_t)0x406, (q15_t)0x8011, + (q15_t)0x3ed, (q15_t)0x8010, (q15_t)0x3d4, (q15_t)0x800f, (q15_t)0x3ba, (q15_t)0x800e, (q15_t)0x3a1, (q15_t)0x800e, + (q15_t)0x388, (q15_t)0x800d, (q15_t)0x36f, (q15_t)0x800c, (q15_t)0x356, (q15_t)0x800c, (q15_t)0x33d, (q15_t)0x800b, + (q15_t)0x324, (q15_t)0x800a, (q15_t)0x30b, (q15_t)0x800a, (q15_t)0x2f1, (q15_t)0x8009, (q15_t)0x2d8, (q15_t)0x8009, + (q15_t)0x2bf, (q15_t)0x8008, (q15_t)0x2a6, (q15_t)0x8008, (q15_t)0x28d, (q15_t)0x8007, (q15_t)0x274, (q15_t)0x8007, + (q15_t)0x25b, (q15_t)0x8006, (q15_t)0x242, (q15_t)0x8006, (q15_t)0x228, (q15_t)0x8005, (q15_t)0x20f, (q15_t)0x8005, + (q15_t)0x1f6, (q15_t)0x8004, (q15_t)0x1dd, (q15_t)0x8004, (q15_t)0x1c4, (q15_t)0x8004, (q15_t)0x1ab, (q15_t)0x8003, + (q15_t)0x192, (q15_t)0x8003, (q15_t)0x178, (q15_t)0x8003, (q15_t)0x15f, (q15_t)0x8002, (q15_t)0x146, (q15_t)0x8002, + (q15_t)0x12d, (q15_t)0x8002, (q15_t)0x114, (q15_t)0x8002, (q15_t)0xfb, (q15_t)0x8001, (q15_t)0xe2, (q15_t)0x8001, + (q15_t)0xc9, (q15_t)0x8001, (q15_t)0xaf, (q15_t)0x8001, (q15_t)0x96, (q15_t)0x8001, (q15_t)0x7d, (q15_t)0x8001, + (q15_t)0x64, (q15_t)0x8001, (q15_t)0x4b, (q15_t)0x8001, (q15_t)0x32, (q15_t)0x8001, (q15_t)0x19, (q15_t)0x8001 +}; + +static const q15_t ALIGN4 WeightsQ15_8192[16384] = { + (q15_t)0x7fff, (q15_t)0x0, (q15_t)0x7fff, (q15_t)0xfffa, (q15_t)0x7fff, (q15_t)0xfff4, (q15_t)0x7fff, (q15_t)0xffee, + (q15_t)0x7fff, (q15_t)0xffe7, (q15_t)0x7fff, (q15_t)0xffe1, (q15_t)0x7fff, (q15_t)0xffdb, (q15_t)0x7fff, (q15_t)0xffd5, + (q15_t)0x7fff, (q15_t)0xffce, (q15_t)0x7fff, (q15_t)0xffc8, (q15_t)0x7fff, (q15_t)0xffc2, (q15_t)0x7fff, (q15_t)0xffbb, + (q15_t)0x7fff, (q15_t)0xffb5, (q15_t)0x7fff, (q15_t)0xffaf, (q15_t)0x7fff, (q15_t)0xffa9, (q15_t)0x7fff, (q15_t)0xffa2, + (q15_t)0x7fff, (q15_t)0xff9c, (q15_t)0x7fff, (q15_t)0xff96, (q15_t)0x7fff, (q15_t)0xff8f, (q15_t)0x7fff, (q15_t)0xff89, + (q15_t)0x7fff, (q15_t)0xff83, (q15_t)0x7fff, (q15_t)0xff7d, (q15_t)0x7fff, (q15_t)0xff76, (q15_t)0x7fff, (q15_t)0xff70, + (q15_t)0x7fff, (q15_t)0xff6a, (q15_t)0x7fff, (q15_t)0xff63, (q15_t)0x7fff, (q15_t)0xff5d, (q15_t)0x7fff, (q15_t)0xff57, + (q15_t)0x7fff, (q15_t)0xff51, (q15_t)0x7fff, (q15_t)0xff4a, (q15_t)0x7fff, (q15_t)0xff44, (q15_t)0x7fff, (q15_t)0xff3e, + (q15_t)0x7fff, (q15_t)0xff37, (q15_t)0x7fff, (q15_t)0xff31, (q15_t)0x7fff, (q15_t)0xff2b, (q15_t)0x7fff, (q15_t)0xff25, + (q15_t)0x7fff, (q15_t)0xff1e, (q15_t)0x7fff, (q15_t)0xff18, (q15_t)0x7fff, (q15_t)0xff12, (q15_t)0x7fff, (q15_t)0xff0b, + (q15_t)0x7fff, (q15_t)0xff05, (q15_t)0x7ffe, (q15_t)0xfeff, (q15_t)0x7ffe, (q15_t)0xfef9, (q15_t)0x7ffe, (q15_t)0xfef2, + (q15_t)0x7ffe, (q15_t)0xfeec, (q15_t)0x7ffe, (q15_t)0xfee6, (q15_t)0x7ffe, (q15_t)0xfedf, (q15_t)0x7ffe, (q15_t)0xfed9, + (q15_t)0x7ffe, (q15_t)0xfed3, (q15_t)0x7ffe, (q15_t)0xfecd, (q15_t)0x7ffe, (q15_t)0xfec6, (q15_t)0x7ffe, (q15_t)0xfec0, + (q15_t)0x7ffe, (q15_t)0xfeba, (q15_t)0x7ffe, (q15_t)0xfeb3, (q15_t)0x7ffe, (q15_t)0xfead, (q15_t)0x7ffe, (q15_t)0xfea7, + (q15_t)0x7ffe, (q15_t)0xfea1, (q15_t)0x7ffe, (q15_t)0xfe9a, (q15_t)0x7ffd, (q15_t)0xfe94, (q15_t)0x7ffd, (q15_t)0xfe8e, + (q15_t)0x7ffd, (q15_t)0xfe88, (q15_t)0x7ffd, (q15_t)0xfe81, (q15_t)0x7ffd, (q15_t)0xfe7b, (q15_t)0x7ffd, (q15_t)0xfe75, + (q15_t)0x7ffd, (q15_t)0xfe6e, (q15_t)0x7ffd, (q15_t)0xfe68, (q15_t)0x7ffd, (q15_t)0xfe62, (q15_t)0x7ffd, (q15_t)0xfe5c, + (q15_t)0x7ffd, (q15_t)0xfe55, (q15_t)0x7ffd, (q15_t)0xfe4f, (q15_t)0x7ffd, (q15_t)0xfe49, (q15_t)0x7ffc, (q15_t)0xfe42, + (q15_t)0x7ffc, (q15_t)0xfe3c, (q15_t)0x7ffc, (q15_t)0xfe36, (q15_t)0x7ffc, (q15_t)0xfe30, (q15_t)0x7ffc, (q15_t)0xfe29, + (q15_t)0x7ffc, (q15_t)0xfe23, (q15_t)0x7ffc, (q15_t)0xfe1d, (q15_t)0x7ffc, (q15_t)0xfe16, (q15_t)0x7ffc, (q15_t)0xfe10, + (q15_t)0x7ffc, (q15_t)0xfe0a, (q15_t)0x7ffc, (q15_t)0xfe04, (q15_t)0x7ffb, (q15_t)0xfdfd, (q15_t)0x7ffb, (q15_t)0xfdf7, + (q15_t)0x7ffb, (q15_t)0xfdf1, (q15_t)0x7ffb, (q15_t)0xfdea, (q15_t)0x7ffb, (q15_t)0xfde4, (q15_t)0x7ffb, (q15_t)0xfdde, + (q15_t)0x7ffb, (q15_t)0xfdd8, (q15_t)0x7ffb, (q15_t)0xfdd1, (q15_t)0x7ffb, (q15_t)0xfdcb, (q15_t)0x7ffb, (q15_t)0xfdc5, + (q15_t)0x7ffa, (q15_t)0xfdbe, (q15_t)0x7ffa, (q15_t)0xfdb8, (q15_t)0x7ffa, (q15_t)0xfdb2, (q15_t)0x7ffa, (q15_t)0xfdac, + (q15_t)0x7ffa, (q15_t)0xfda5, (q15_t)0x7ffa, (q15_t)0xfd9f, (q15_t)0x7ffa, (q15_t)0xfd99, (q15_t)0x7ffa, (q15_t)0xfd93, + (q15_t)0x7ff9, (q15_t)0xfd8c, (q15_t)0x7ff9, (q15_t)0xfd86, (q15_t)0x7ff9, (q15_t)0xfd80, (q15_t)0x7ff9, (q15_t)0xfd79, + (q15_t)0x7ff9, (q15_t)0xfd73, (q15_t)0x7ff9, (q15_t)0xfd6d, (q15_t)0x7ff9, (q15_t)0xfd67, (q15_t)0x7ff9, (q15_t)0xfd60, + (q15_t)0x7ff8, (q15_t)0xfd5a, (q15_t)0x7ff8, (q15_t)0xfd54, (q15_t)0x7ff8, (q15_t)0xfd4d, (q15_t)0x7ff8, (q15_t)0xfd47, + (q15_t)0x7ff8, (q15_t)0xfd41, (q15_t)0x7ff8, (q15_t)0xfd3b, (q15_t)0x7ff8, (q15_t)0xfd34, (q15_t)0x7ff8, (q15_t)0xfd2e, + (q15_t)0x7ff7, (q15_t)0xfd28, (q15_t)0x7ff7, (q15_t)0xfd21, (q15_t)0x7ff7, (q15_t)0xfd1b, (q15_t)0x7ff7, (q15_t)0xfd15, + (q15_t)0x7ff7, (q15_t)0xfd0f, (q15_t)0x7ff7, (q15_t)0xfd08, (q15_t)0x7ff7, (q15_t)0xfd02, (q15_t)0x7ff6, (q15_t)0xfcfc, + (q15_t)0x7ff6, (q15_t)0xfcf5, (q15_t)0x7ff6, (q15_t)0xfcef, (q15_t)0x7ff6, (q15_t)0xfce9, (q15_t)0x7ff6, (q15_t)0xfce3, + (q15_t)0x7ff6, (q15_t)0xfcdc, (q15_t)0x7ff5, (q15_t)0xfcd6, (q15_t)0x7ff5, (q15_t)0xfcd0, (q15_t)0x7ff5, (q15_t)0xfcc9, + (q15_t)0x7ff5, (q15_t)0xfcc3, (q15_t)0x7ff5, (q15_t)0xfcbd, (q15_t)0x7ff5, (q15_t)0xfcb7, (q15_t)0x7ff5, (q15_t)0xfcb0, + (q15_t)0x7ff4, (q15_t)0xfcaa, (q15_t)0x7ff4, (q15_t)0xfca4, (q15_t)0x7ff4, (q15_t)0xfc9e, (q15_t)0x7ff4, (q15_t)0xfc97, + (q15_t)0x7ff4, (q15_t)0xfc91, (q15_t)0x7ff4, (q15_t)0xfc8b, (q15_t)0x7ff3, (q15_t)0xfc84, (q15_t)0x7ff3, (q15_t)0xfc7e, + (q15_t)0x7ff3, (q15_t)0xfc78, (q15_t)0x7ff3, (q15_t)0xfc72, (q15_t)0x7ff3, (q15_t)0xfc6b, (q15_t)0x7ff2, (q15_t)0xfc65, + (q15_t)0x7ff2, (q15_t)0xfc5f, (q15_t)0x7ff2, (q15_t)0xfc58, (q15_t)0x7ff2, (q15_t)0xfc52, (q15_t)0x7ff2, (q15_t)0xfc4c, + (q15_t)0x7ff2, (q15_t)0xfc46, (q15_t)0x7ff1, (q15_t)0xfc3f, (q15_t)0x7ff1, (q15_t)0xfc39, (q15_t)0x7ff1, (q15_t)0xfc33, + (q15_t)0x7ff1, (q15_t)0xfc2c, (q15_t)0x7ff1, (q15_t)0xfc26, (q15_t)0x7ff0, (q15_t)0xfc20, (q15_t)0x7ff0, (q15_t)0xfc1a, + (q15_t)0x7ff0, (q15_t)0xfc13, (q15_t)0x7ff0, (q15_t)0xfc0d, (q15_t)0x7ff0, (q15_t)0xfc07, (q15_t)0x7fef, (q15_t)0xfc01, + (q15_t)0x7fef, (q15_t)0xfbfa, (q15_t)0x7fef, (q15_t)0xfbf4, (q15_t)0x7fef, (q15_t)0xfbee, (q15_t)0x7fef, (q15_t)0xfbe7, + (q15_t)0x7fee, (q15_t)0xfbe1, (q15_t)0x7fee, (q15_t)0xfbdb, (q15_t)0x7fee, (q15_t)0xfbd5, (q15_t)0x7fee, (q15_t)0xfbce, + (q15_t)0x7fee, (q15_t)0xfbc8, (q15_t)0x7fed, (q15_t)0xfbc2, (q15_t)0x7fed, (q15_t)0xfbbb, (q15_t)0x7fed, (q15_t)0xfbb5, + (q15_t)0x7fed, (q15_t)0xfbaf, (q15_t)0x7fed, (q15_t)0xfba9, (q15_t)0x7fec, (q15_t)0xfba2, (q15_t)0x7fec, (q15_t)0xfb9c, + (q15_t)0x7fec, (q15_t)0xfb96, (q15_t)0x7fec, (q15_t)0xfb8f, (q15_t)0x7fec, (q15_t)0xfb89, (q15_t)0x7feb, (q15_t)0xfb83, + (q15_t)0x7feb, (q15_t)0xfb7d, (q15_t)0x7feb, (q15_t)0xfb76, (q15_t)0x7feb, (q15_t)0xfb70, (q15_t)0x7fea, (q15_t)0xfb6a, + (q15_t)0x7fea, (q15_t)0xfb64, (q15_t)0x7fea, (q15_t)0xfb5d, (q15_t)0x7fea, (q15_t)0xfb57, (q15_t)0x7fea, (q15_t)0xfb51, + (q15_t)0x7fe9, (q15_t)0xfb4a, (q15_t)0x7fe9, (q15_t)0xfb44, (q15_t)0x7fe9, (q15_t)0xfb3e, (q15_t)0x7fe9, (q15_t)0xfb38, + (q15_t)0x7fe8, (q15_t)0xfb31, (q15_t)0x7fe8, (q15_t)0xfb2b, (q15_t)0x7fe8, (q15_t)0xfb25, (q15_t)0x7fe8, (q15_t)0xfb1e, + (q15_t)0x7fe7, (q15_t)0xfb18, (q15_t)0x7fe7, (q15_t)0xfb12, (q15_t)0x7fe7, (q15_t)0xfb0c, (q15_t)0x7fe7, (q15_t)0xfb05, + (q15_t)0x7fe6, (q15_t)0xfaff, (q15_t)0x7fe6, (q15_t)0xfaf9, (q15_t)0x7fe6, (q15_t)0xfaf3, (q15_t)0x7fe6, (q15_t)0xfaec, + (q15_t)0x7fe5, (q15_t)0xfae6, (q15_t)0x7fe5, (q15_t)0xfae0, (q15_t)0x7fe5, (q15_t)0xfad9, (q15_t)0x7fe5, (q15_t)0xfad3, + (q15_t)0x7fe4, (q15_t)0xfacd, (q15_t)0x7fe4, (q15_t)0xfac7, (q15_t)0x7fe4, (q15_t)0xfac0, (q15_t)0x7fe4, (q15_t)0xfaba, + (q15_t)0x7fe3, (q15_t)0xfab4, (q15_t)0x7fe3, (q15_t)0xfaad, (q15_t)0x7fe3, (q15_t)0xfaa7, (q15_t)0x7fe3, (q15_t)0xfaa1, + (q15_t)0x7fe2, (q15_t)0xfa9b, (q15_t)0x7fe2, (q15_t)0xfa94, (q15_t)0x7fe2, (q15_t)0xfa8e, (q15_t)0x7fe2, (q15_t)0xfa88, + (q15_t)0x7fe1, (q15_t)0xfa81, (q15_t)0x7fe1, (q15_t)0xfa7b, (q15_t)0x7fe1, (q15_t)0xfa75, (q15_t)0x7fe0, (q15_t)0xfa6f, + (q15_t)0x7fe0, (q15_t)0xfa68, (q15_t)0x7fe0, (q15_t)0xfa62, (q15_t)0x7fe0, (q15_t)0xfa5c, (q15_t)0x7fdf, (q15_t)0xfa56, + (q15_t)0x7fdf, (q15_t)0xfa4f, (q15_t)0x7fdf, (q15_t)0xfa49, (q15_t)0x7fdf, (q15_t)0xfa43, (q15_t)0x7fde, (q15_t)0xfa3c, + (q15_t)0x7fde, (q15_t)0xfa36, (q15_t)0x7fde, (q15_t)0xfa30, (q15_t)0x7fdd, (q15_t)0xfa2a, (q15_t)0x7fdd, (q15_t)0xfa23, + (q15_t)0x7fdd, (q15_t)0xfa1d, (q15_t)0x7fdd, (q15_t)0xfa17, (q15_t)0x7fdc, (q15_t)0xfa11, (q15_t)0x7fdc, (q15_t)0xfa0a, + (q15_t)0x7fdc, (q15_t)0xfa04, (q15_t)0x7fdb, (q15_t)0xf9fe, (q15_t)0x7fdb, (q15_t)0xf9f7, (q15_t)0x7fdb, (q15_t)0xf9f1, + (q15_t)0x7fda, (q15_t)0xf9eb, (q15_t)0x7fda, (q15_t)0xf9e5, (q15_t)0x7fda, (q15_t)0xf9de, (q15_t)0x7fda, (q15_t)0xf9d8, + (q15_t)0x7fd9, (q15_t)0xf9d2, (q15_t)0x7fd9, (q15_t)0xf9cb, (q15_t)0x7fd9, (q15_t)0xf9c5, (q15_t)0x7fd8, (q15_t)0xf9bf, + (q15_t)0x7fd8, (q15_t)0xf9b9, (q15_t)0x7fd8, (q15_t)0xf9b2, (q15_t)0x7fd7, (q15_t)0xf9ac, (q15_t)0x7fd7, 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(q15_t)0x3ae, (q15_t)0x800e, (q15_t)0x3a8, (q15_t)0x800e, + (q15_t)0x3a1, (q15_t)0x800e, (q15_t)0x39b, (q15_t)0x800e, (q15_t)0x395, (q15_t)0x800d, (q15_t)0x38e, (q15_t)0x800d, + (q15_t)0x388, (q15_t)0x800d, (q15_t)0x382, (q15_t)0x800d, (q15_t)0x37c, (q15_t)0x800d, (q15_t)0x375, (q15_t)0x800c, + (q15_t)0x36f, (q15_t)0x800c, (q15_t)0x369, (q15_t)0x800c, (q15_t)0x362, (q15_t)0x800c, (q15_t)0x35c, (q15_t)0x800c, + (q15_t)0x356, (q15_t)0x800c, (q15_t)0x350, (q15_t)0x800b, (q15_t)0x349, (q15_t)0x800b, (q15_t)0x343, (q15_t)0x800b, + (q15_t)0x33d, (q15_t)0x800b, (q15_t)0x337, (q15_t)0x800b, (q15_t)0x330, (q15_t)0x800b, (q15_t)0x32a, (q15_t)0x800b, + (q15_t)0x324, (q15_t)0x800a, (q15_t)0x31d, (q15_t)0x800a, (q15_t)0x317, (q15_t)0x800a, (q15_t)0x311, (q15_t)0x800a, + (q15_t)0x30b, (q15_t)0x800a, (q15_t)0x304, (q15_t)0x800a, (q15_t)0x2fe, (q15_t)0x8009, (q15_t)0x2f8, (q15_t)0x8009, + (q15_t)0x2f1, (q15_t)0x8009, (q15_t)0x2eb, (q15_t)0x8009, (q15_t)0x2e5, (q15_t)0x8009, (q15_t)0x2df, (q15_t)0x8009, + (q15_t)0x2d8, (q15_t)0x8009, (q15_t)0x2d2, (q15_t)0x8008, (q15_t)0x2cc, (q15_t)0x8008, (q15_t)0x2c5, (q15_t)0x8008, + (q15_t)0x2bf, (q15_t)0x8008, (q15_t)0x2b9, (q15_t)0x8008, (q15_t)0x2b3, (q15_t)0x8008, (q15_t)0x2ac, (q15_t)0x8008, + (q15_t)0x2a6, (q15_t)0x8008, (q15_t)0x2a0, (q15_t)0x8007, (q15_t)0x299, (q15_t)0x8007, (q15_t)0x293, (q15_t)0x8007, + (q15_t)0x28d, (q15_t)0x8007, (q15_t)0x287, (q15_t)0x8007, (q15_t)0x280, (q15_t)0x8007, (q15_t)0x27a, (q15_t)0x8007, + (q15_t)0x274, (q15_t)0x8007, (q15_t)0x26d, (q15_t)0x8006, (q15_t)0x267, (q15_t)0x8006, (q15_t)0x261, (q15_t)0x8006, + (q15_t)0x25b, (q15_t)0x8006, (q15_t)0x254, (q15_t)0x8006, (q15_t)0x24e, (q15_t)0x8006, (q15_t)0x248, (q15_t)0x8006, + (q15_t)0x242, (q15_t)0x8006, (q15_t)0x23b, (q15_t)0x8005, (q15_t)0x235, (q15_t)0x8005, (q15_t)0x22f, (q15_t)0x8005, + (q15_t)0x228, (q15_t)0x8005, (q15_t)0x222, (q15_t)0x8005, (q15_t)0x21c, (q15_t)0x8005, (q15_t)0x216, (q15_t)0x8005, + (q15_t)0x20f, (q15_t)0x8005, (q15_t)0x209, (q15_t)0x8005, (q15_t)0x203, (q15_t)0x8005, (q15_t)0x1fc, (q15_t)0x8004, + (q15_t)0x1f6, (q15_t)0x8004, (q15_t)0x1f0, (q15_t)0x8004, (q15_t)0x1ea, (q15_t)0x8004, (q15_t)0x1e3, (q15_t)0x8004, + (q15_t)0x1dd, (q15_t)0x8004, (q15_t)0x1d7, (q15_t)0x8004, (q15_t)0x1d0, (q15_t)0x8004, (q15_t)0x1ca, (q15_t)0x8004, + (q15_t)0x1c4, (q15_t)0x8004, (q15_t)0x1be, (q15_t)0x8004, (q15_t)0x1b7, (q15_t)0x8003, (q15_t)0x1b1, (q15_t)0x8003, + (q15_t)0x1ab, (q15_t)0x8003, (q15_t)0x1a4, (q15_t)0x8003, (q15_t)0x19e, (q15_t)0x8003, (q15_t)0x198, (q15_t)0x8003, + (q15_t)0x192, (q15_t)0x8003, (q15_t)0x18b, (q15_t)0x8003, (q15_t)0x185, (q15_t)0x8003, (q15_t)0x17f, (q15_t)0x8003, + (q15_t)0x178, (q15_t)0x8003, (q15_t)0x172, (q15_t)0x8003, (q15_t)0x16c, (q15_t)0x8003, (q15_t)0x166, (q15_t)0x8002, + (q15_t)0x15f, (q15_t)0x8002, (q15_t)0x159, (q15_t)0x8002, (q15_t)0x153, (q15_t)0x8002, (q15_t)0x14d, (q15_t)0x8002, + (q15_t)0x146, (q15_t)0x8002, (q15_t)0x140, (q15_t)0x8002, (q15_t)0x13a, (q15_t)0x8002, (q15_t)0x133, (q15_t)0x8002, + (q15_t)0x12d, (q15_t)0x8002, (q15_t)0x127, (q15_t)0x8002, (q15_t)0x121, (q15_t)0x8002, (q15_t)0x11a, (q15_t)0x8002, + (q15_t)0x114, (q15_t)0x8002, (q15_t)0x10e, (q15_t)0x8002, (q15_t)0x107, (q15_t)0x8002, (q15_t)0x101, (q15_t)0x8002, + (q15_t)0xfb, (q15_t)0x8001, (q15_t)0xf5, (q15_t)0x8001, (q15_t)0xee, (q15_t)0x8001, (q15_t)0xe8, (q15_t)0x8001, + (q15_t)0xe2, (q15_t)0x8001, (q15_t)0xdb, (q15_t)0x8001, (q15_t)0xd5, (q15_t)0x8001, (q15_t)0xcf, (q15_t)0x8001, + (q15_t)0xc9, (q15_t)0x8001, (q15_t)0xc2, (q15_t)0x8001, (q15_t)0xbc, (q15_t)0x8001, (q15_t)0xb6, (q15_t)0x8001, + (q15_t)0xaf, (q15_t)0x8001, (q15_t)0xa9, (q15_t)0x8001, (q15_t)0xa3, (q15_t)0x8001, (q15_t)0x9d, (q15_t)0x8001, + (q15_t)0x96, (q15_t)0x8001, (q15_t)0x90, (q15_t)0x8001, (q15_t)0x8a, (q15_t)0x8001, (q15_t)0x83, (q15_t)0x8001, + (q15_t)0x7d, (q15_t)0x8001, (q15_t)0x77, (q15_t)0x8001, (q15_t)0x71, (q15_t)0x8001, (q15_t)0x6a, (q15_t)0x8001, + (q15_t)0x64, (q15_t)0x8001, (q15_t)0x5e, (q15_t)0x8001, (q15_t)0x57, (q15_t)0x8001, (q15_t)0x51, (q15_t)0x8001, + (q15_t)0x4b, (q15_t)0x8001, (q15_t)0x45, (q15_t)0x8001, (q15_t)0x3e, (q15_t)0x8001, (q15_t)0x38, (q15_t)0x8001, + (q15_t)0x32, (q15_t)0x8001, (q15_t)0x2b, (q15_t)0x8001, (q15_t)0x25, (q15_t)0x8001, (q15_t)0x1f, (q15_t)0x8001, + (q15_t)0x19, (q15_t)0x8001, (q15_t)0x12, (q15_t)0x8001, (q15_t)0xc, (q15_t)0x8001, (q15_t)0x6, (q15_t)0x8001 +}; + + +/** +* \par +* cosFactor tables are generated using the formula :
 cos_factors[n] = 2 * cos((2n+1)*pi/(4*N)) 
+* \par +* C command to generate the table +*
+* for(i = 0; i< N; i++)
+* {
+*   cos_factors[i]= 2 * cos((2*i+1)*c/2);
+* } 
+* \par +* where N is the number of factors to generate and c is pi/(2*N) +* \par +* Then converted to q15 format by multiplying with 2^31 and saturated if required. + +*/ + +static const q15_t ALIGN4 cos_factorsQ15_128[128] = { + (q15_t)0x7fff, (q15_t)0x7ffa, (q15_t)0x7ff0, (q15_t)0x7fe1, (q15_t)0x7fce, (q15_t)0x7fb5, (q15_t)0x7f97, (q15_t)0x7f75, + (q15_t)0x7f4d, (q15_t)0x7f21, (q15_t)0x7ef0, (q15_t)0x7eba, (q15_t)0x7e7f, (q15_t)0x7e3f, (q15_t)0x7dfa, (q15_t)0x7db0, + (q15_t)0x7d62, (q15_t)0x7d0f, (q15_t)0x7cb7, (q15_t)0x7c5a, (q15_t)0x7bf8, (q15_t)0x7b92, (q15_t)0x7b26, (q15_t)0x7ab6, + (q15_t)0x7a42, (q15_t)0x79c8, (q15_t)0x794a, (q15_t)0x78c7, (q15_t)0x7840, (q15_t)0x77b4, (q15_t)0x7723, (q15_t)0x768e, + (q15_t)0x75f4, (q15_t)0x7555, (q15_t)0x74b2, (q15_t)0x740b, (q15_t)0x735f, (q15_t)0x72af, (q15_t)0x71fa, (q15_t)0x7141, + (q15_t)0x7083, (q15_t)0x6fc1, (q15_t)0x6efb, (q15_t)0x6e30, (q15_t)0x6d62, (q15_t)0x6c8f, (q15_t)0x6bb8, (q15_t)0x6adc, + (q15_t)0x69fd, (q15_t)0x6919, (q15_t)0x6832, (q15_t)0x6746, (q15_t)0x6657, (q15_t)0x6563, (q15_t)0x646c, (q15_t)0x6371, + (q15_t)0x6271, (q15_t)0x616f, (q15_t)0x6068, (q15_t)0x5f5e, (q15_t)0x5e50, (q15_t)0x5d3e, (q15_t)0x5c29, (q15_t)0x5b10, + (q15_t)0x59f3, (q15_t)0x58d4, (q15_t)0x57b0, (q15_t)0x568a, (q15_t)0x5560, (q15_t)0x5433, (q15_t)0x5302, (q15_t)0x51ce, + (q15_t)0x5097, (q15_t)0x4f5e, (q15_t)0x4e21, (q15_t)0x4ce1, (q15_t)0x4b9e, (q15_t)0x4a58, (q15_t)0x490f, (q15_t)0x47c3, + (q15_t)0x4675, (q15_t)0x4524, (q15_t)0x43d0, (q15_t)0x427a, (q15_t)0x4121, (q15_t)0x3fc5, (q15_t)0x3e68, (q15_t)0x3d07, + (q15_t)0x3ba5, (q15_t)0x3a40, (q15_t)0x38d8, (q15_t)0x376f, (q15_t)0x3604, (q15_t)0x3496, (q15_t)0x3326, (q15_t)0x31b5, + (q15_t)0x3041, (q15_t)0x2ecc, (q15_t)0x2d55, (q15_t)0x2bdc, (q15_t)0x2a61, (q15_t)0x28e5, (q15_t)0x2767, (q15_t)0x25e8, + (q15_t)0x2467, (q15_t)0x22e5, (q15_t)0x2161, (q15_t)0x1fdc, (q15_t)0x1e56, (q15_t)0x1ccf, (q15_t)0x1b47, (q15_t)0x19bd, + (q15_t)0x1833, (q15_t)0x16a8, (q15_t)0x151b, (q15_t)0x138e, (q15_t)0x1201, (q15_t)0x1072, (q15_t)0xee3, (q15_t)0xd53, + (q15_t)0xbc3, (q15_t)0xa33, (q15_t)0x8a2, (q15_t)0x710, (q15_t)0x57f, (q15_t)0x3ed, (q15_t)0x25b, (q15_t)0xc9 +}; + +static const q15_t ALIGN4 cos_factorsQ15_512[512] = { + (q15_t)0x7fff, (q15_t)0x7fff, (q15_t)0x7fff, (q15_t)0x7ffe, (q15_t)0x7ffc, (q15_t)0x7ffb, (q15_t)0x7ff9, (q15_t)0x7ff7, + (q15_t)0x7ff4, (q15_t)0x7ff2, (q15_t)0x7fee, (q15_t)0x7feb, (q15_t)0x7fe7, (q15_t)0x7fe3, (q15_t)0x7fdf, (q15_t)0x7fda, + (q15_t)0x7fd6, (q15_t)0x7fd0, (q15_t)0x7fcb, (q15_t)0x7fc5, (q15_t)0x7fbf, (q15_t)0x7fb8, (q15_t)0x7fb1, (q15_t)0x7faa, + (q15_t)0x7fa3, (q15_t)0x7f9b, (q15_t)0x7f93, (q15_t)0x7f8b, (q15_t)0x7f82, (q15_t)0x7f79, (q15_t)0x7f70, (q15_t)0x7f67, + (q15_t)0x7f5d, (q15_t)0x7f53, (q15_t)0x7f48, (q15_t)0x7f3d, (q15_t)0x7f32, (q15_t)0x7f27, (q15_t)0x7f1b, (q15_t)0x7f0f, + (q15_t)0x7f03, (q15_t)0x7ef6, (q15_t)0x7ee9, (q15_t)0x7edc, (q15_t)0x7ecf, (q15_t)0x7ec1, (q15_t)0x7eb3, (q15_t)0x7ea4, + (q15_t)0x7e95, (q15_t)0x7e86, (q15_t)0x7e77, (q15_t)0x7e67, (q15_t)0x7e57, (q15_t)0x7e47, (q15_t)0x7e37, (q15_t)0x7e26, + (q15_t)0x7e14, (q15_t)0x7e03, (q15_t)0x7df1, (q15_t)0x7ddf, (q15_t)0x7dcd, (q15_t)0x7dba, (q15_t)0x7da7, (q15_t)0x7d94, + (q15_t)0x7d80, (q15_t)0x7d6c, (q15_t)0x7d58, (q15_t)0x7d43, (q15_t)0x7d2f, (q15_t)0x7d19, (q15_t)0x7d04, (q15_t)0x7cee, + (q15_t)0x7cd8, (q15_t)0x7cc2, (q15_t)0x7cab, (q15_t)0x7c94, (q15_t)0x7c7d, (q15_t)0x7c66, (q15_t)0x7c4e, (q15_t)0x7c36, + (q15_t)0x7c1d, (q15_t)0x7c05, (q15_t)0x7beb, (q15_t)0x7bd2, (q15_t)0x7bb9, (q15_t)0x7b9f, (q15_t)0x7b84, (q15_t)0x7b6a, + (q15_t)0x7b4f, (q15_t)0x7b34, (q15_t)0x7b19, (q15_t)0x7afd, (q15_t)0x7ae1, (q15_t)0x7ac5, (q15_t)0x7aa8, (q15_t)0x7a8b, + (q15_t)0x7a6e, (q15_t)0x7a50, (q15_t)0x7a33, (q15_t)0x7a15, (q15_t)0x79f6, (q15_t)0x79d8, (q15_t)0x79b9, (q15_t)0x7999, + (q15_t)0x797a, (q15_t)0x795a, (q15_t)0x793a, (q15_t)0x7919, (q15_t)0x78f9, (q15_t)0x78d8, (q15_t)0x78b6, (q15_t)0x7895, + (q15_t)0x7873, (q15_t)0x7851, (q15_t)0x782e, (q15_t)0x780c, (q15_t)0x77e9, (q15_t)0x77c5, (q15_t)0x77a2, (q15_t)0x777e, + (q15_t)0x775a, (q15_t)0x7735, (q15_t)0x7710, (q15_t)0x76eb, (q15_t)0x76c6, (q15_t)0x76a0, (q15_t)0x767b, (q15_t)0x7654, + (q15_t)0x762e, (q15_t)0x7607, (q15_t)0x75e0, (q15_t)0x75b9, (q15_t)0x7591, (q15_t)0x7569, (q15_t)0x7541, (q15_t)0x7519, + (q15_t)0x74f0, (q15_t)0x74c7, (q15_t)0x749e, (q15_t)0x7474, (q15_t)0x744a, (q15_t)0x7420, (q15_t)0x73f6, (q15_t)0x73cb, + (q15_t)0x73a0, (q15_t)0x7375, (q15_t)0x7349, (q15_t)0x731d, (q15_t)0x72f1, (q15_t)0x72c5, (q15_t)0x7298, (q15_t)0x726b, + (q15_t)0x723e, (q15_t)0x7211, (q15_t)0x71e3, (q15_t)0x71b5, (q15_t)0x7186, (q15_t)0x7158, (q15_t)0x7129, (q15_t)0x70fa, + (q15_t)0x70cb, (q15_t)0x709b, (q15_t)0x706b, (q15_t)0x703b, (q15_t)0x700a, (q15_t)0x6fda, (q15_t)0x6fa9, (q15_t)0x6f77, + (q15_t)0x6f46, (q15_t)0x6f14, (q15_t)0x6ee2, (q15_t)0x6eaf, (q15_t)0x6e7d, (q15_t)0x6e4a, (q15_t)0x6e17, (q15_t)0x6de3, + (q15_t)0x6db0, (q15_t)0x6d7c, (q15_t)0x6d48, (q15_t)0x6d13, (q15_t)0x6cde, (q15_t)0x6ca9, (q15_t)0x6c74, (q15_t)0x6c3f, + (q15_t)0x6c09, (q15_t)0x6bd3, (q15_t)0x6b9c, (q15_t)0x6b66, (q15_t)0x6b2f, (q15_t)0x6af8, (q15_t)0x6ac1, (q15_t)0x6a89, + (q15_t)0x6a51, (q15_t)0x6a19, (q15_t)0x69e1, (q15_t)0x69a8, (q15_t)0x696f, (q15_t)0x6936, (q15_t)0x68fd, (q15_t)0x68c3, + (q15_t)0x6889, (q15_t)0x684f, (q15_t)0x6815, (q15_t)0x67da, (q15_t)0x679f, (q15_t)0x6764, (q15_t)0x6729, (q15_t)0x66ed, + (q15_t)0x66b1, (q15_t)0x6675, (q15_t)0x6639, (q15_t)0x65fc, (q15_t)0x65bf, (q15_t)0x6582, (q15_t)0x6545, (q15_t)0x6507, + (q15_t)0x64c9, (q15_t)0x648b, (q15_t)0x644d, (q15_t)0x640e, (q15_t)0x63cf, (q15_t)0x6390, (q15_t)0x6351, (q15_t)0x6311, + (q15_t)0x62d2, (q15_t)0x6292, (q15_t)0x6251, (q15_t)0x6211, (q15_t)0x61d0, (q15_t)0x618f, (q15_t)0x614e, (q15_t)0x610d, + (q15_t)0x60cb, (q15_t)0x6089, (q15_t)0x6047, (q15_t)0x6004, (q15_t)0x5fc2, (q15_t)0x5f7f, (q15_t)0x5f3c, (q15_t)0x5ef9, + (q15_t)0x5eb5, (q15_t)0x5e71, (q15_t)0x5e2d, (q15_t)0x5de9, (q15_t)0x5da5, (q15_t)0x5d60, (q15_t)0x5d1b, (q15_t)0x5cd6, + (q15_t)0x5c91, (q15_t)0x5c4b, (q15_t)0x5c06, (q15_t)0x5bc0, (q15_t)0x5b79, (q15_t)0x5b33, (q15_t)0x5aec, (q15_t)0x5aa5, + (q15_t)0x5a5e, (q15_t)0x5a17, (q15_t)0x59d0, (q15_t)0x5988, (q15_t)0x5940, (q15_t)0x58f8, (q15_t)0x58af, (q15_t)0x5867, + (q15_t)0x581e, (q15_t)0x57d5, (q15_t)0x578c, (q15_t)0x5742, (q15_t)0x56f9, (q15_t)0x56af, (q15_t)0x5665, (q15_t)0x561a, + (q15_t)0x55d0, (q15_t)0x5585, (q15_t)0x553a, (q15_t)0x54ef, (q15_t)0x54a4, (q15_t)0x5458, (q15_t)0x540d, (q15_t)0x53c1, + (q15_t)0x5375, (q15_t)0x5328, (q15_t)0x52dc, (q15_t)0x528f, (q15_t)0x5242, (q15_t)0x51f5, (q15_t)0x51a8, (q15_t)0x515a, + (q15_t)0x510c, (q15_t)0x50bf, (q15_t)0x5070, (q15_t)0x5022, (q15_t)0x4fd4, (q15_t)0x4f85, (q15_t)0x4f36, (q15_t)0x4ee7, + (q15_t)0x4e98, (q15_t)0x4e48, (q15_t)0x4df9, (q15_t)0x4da9, (q15_t)0x4d59, (q15_t)0x4d09, (q15_t)0x4cb8, (q15_t)0x4c68, + (q15_t)0x4c17, (q15_t)0x4bc6, (q15_t)0x4b75, (q15_t)0x4b24, (q15_t)0x4ad2, (q15_t)0x4a81, (q15_t)0x4a2f, (q15_t)0x49dd, + (q15_t)0x498a, (q15_t)0x4938, (q15_t)0x48e6, (q15_t)0x4893, (q15_t)0x4840, (q15_t)0x47ed, (q15_t)0x479a, (q15_t)0x4746, + (q15_t)0x46f3, (q15_t)0x469f, (q15_t)0x464b, (q15_t)0x45f7, (q15_t)0x45a3, (q15_t)0x454e, (q15_t)0x44fa, (q15_t)0x44a5, + (q15_t)0x4450, (q15_t)0x43fb, (q15_t)0x43a5, (q15_t)0x4350, (q15_t)0x42fa, (q15_t)0x42a5, (q15_t)0x424f, (q15_t)0x41f9, + (q15_t)0x41a2, (q15_t)0x414c, (q15_t)0x40f6, (q15_t)0x409f, (q15_t)0x4048, (q15_t)0x3ff1, (q15_t)0x3f9a, (q15_t)0x3f43, + (q15_t)0x3eeb, (q15_t)0x3e93, (q15_t)0x3e3c, (q15_t)0x3de4, (q15_t)0x3d8c, (q15_t)0x3d33, (q15_t)0x3cdb, (q15_t)0x3c83, + (q15_t)0x3c2a, (q15_t)0x3bd1, (q15_t)0x3b78, (q15_t)0x3b1f, (q15_t)0x3ac6, (q15_t)0x3a6c, (q15_t)0x3a13, (q15_t)0x39b9, + (q15_t)0x395f, (q15_t)0x3906, (q15_t)0x38ab, (q15_t)0x3851, (q15_t)0x37f7, (q15_t)0x379c, (q15_t)0x3742, (q15_t)0x36e7, + (q15_t)0x368c, (q15_t)0x3631, (q15_t)0x35d6, (q15_t)0x357b, (q15_t)0x351f, (q15_t)0x34c4, (q15_t)0x3468, (q15_t)0x340c, + (q15_t)0x33b0, (q15_t)0x3354, (q15_t)0x32f8, (q15_t)0x329c, (q15_t)0x3240, (q15_t)0x31e3, (q15_t)0x3186, (q15_t)0x312a, + (q15_t)0x30cd, (q15_t)0x3070, (q15_t)0x3013, (q15_t)0x2fb5, (q15_t)0x2f58, (q15_t)0x2efb, (q15_t)0x2e9d, (q15_t)0x2e3f, + (q15_t)0x2de2, (q15_t)0x2d84, (q15_t)0x2d26, (q15_t)0x2cc8, (q15_t)0x2c69, (q15_t)0x2c0b, (q15_t)0x2bad, (q15_t)0x2b4e, + (q15_t)0x2aef, (q15_t)0x2a91, (q15_t)0x2a32, (q15_t)0x29d3, (q15_t)0x2974, (q15_t)0x2915, (q15_t)0x28b5, (q15_t)0x2856, + (q15_t)0x27f6, (q15_t)0x2797, (q15_t)0x2737, (q15_t)0x26d8, (q15_t)0x2678, (q15_t)0x2618, (q15_t)0x25b8, (q15_t)0x2558, + (q15_t)0x24f7, (q15_t)0x2497, (q15_t)0x2437, (q15_t)0x23d6, (q15_t)0x2376, (q15_t)0x2315, (q15_t)0x22b4, (q15_t)0x2254, + (q15_t)0x21f3, (q15_t)0x2192, (q15_t)0x2131, (q15_t)0x20d0, (q15_t)0x206e, (q15_t)0x200d, (q15_t)0x1fac, (q15_t)0x1f4a, + (q15_t)0x1ee9, (q15_t)0x1e87, (q15_t)0x1e25, (q15_t)0x1dc4, (q15_t)0x1d62, (q15_t)0x1d00, (q15_t)0x1c9e, (q15_t)0x1c3c, + (q15_t)0x1bda, (q15_t)0x1b78, (q15_t)0x1b16, (q15_t)0x1ab3, (q15_t)0x1a51, (q15_t)0x19ef, (q15_t)0x198c, (q15_t)0x192a, + (q15_t)0x18c7, (q15_t)0x1864, (q15_t)0x1802, (q15_t)0x179f, (q15_t)0x173c, (q15_t)0x16d9, (q15_t)0x1676, (q15_t)0x1613, + (q15_t)0x15b0, (q15_t)0x154d, (q15_t)0x14ea, (q15_t)0x1487, (q15_t)0x1423, (q15_t)0x13c0, (q15_t)0x135d, (q15_t)0x12f9, + (q15_t)0x1296, (q15_t)0x1232, (q15_t)0x11cf, (q15_t)0x116b, (q15_t)0x1108, (q15_t)0x10a4, (q15_t)0x1040, (q15_t)0xfdd, + (q15_t)0xf79, (q15_t)0xf15, (q15_t)0xeb1, (q15_t)0xe4d, (q15_t)0xde9, (q15_t)0xd85, (q15_t)0xd21, (q15_t)0xcbd, + (q15_t)0xc59, (q15_t)0xbf5, (q15_t)0xb91, (q15_t)0xb2d, (q15_t)0xac9, (q15_t)0xa65, (q15_t)0xa00, (q15_t)0x99c, + (q15_t)0x938, (q15_t)0x8d4, (q15_t)0x86f, (q15_t)0x80b, (q15_t)0x7a7, (q15_t)0x742, (q15_t)0x6de, (q15_t)0x67a, + (q15_t)0x615, (q15_t)0x5b1, (q15_t)0x54c, (q15_t)0x4e8, (q15_t)0x483, (q15_t)0x41f, (q15_t)0x3ba, (q15_t)0x356, + (q15_t)0x2f1, (q15_t)0x28d, (q15_t)0x228, (q15_t)0x1c4, (q15_t)0x15f, (q15_t)0xfb, (q15_t)0x96, (q15_t)0x32 +}; + +static const q15_t ALIGN4 cos_factorsQ15_2048[2048] = { + (q15_t)0x7fff, (q15_t)0x7fff, (q15_t)0x7fff, (q15_t)0x7fff, (q15_t)0x7fff, (q15_t)0x7fff, (q15_t)0x7fff, (q15_t)0x7fff, + (q15_t)0x7fff, (q15_t)0x7fff, (q15_t)0x7ffe, (q15_t)0x7ffe, (q15_t)0x7ffe, (q15_t)0x7ffe, (q15_t)0x7ffd, (q15_t)0x7ffd, + (q15_t)0x7ffd, (q15_t)0x7ffd, (q15_t)0x7ffc, (q15_t)0x7ffc, (q15_t)0x7ffb, (q15_t)0x7ffb, (q15_t)0x7ffb, (q15_t)0x7ffa, + (q15_t)0x7ffa, (q15_t)0x7ff9, (q15_t)0x7ff9, (q15_t)0x7ff8, (q15_t)0x7ff8, (q15_t)0x7ff7, (q15_t)0x7ff7, (q15_t)0x7ff6, + (q15_t)0x7ff5, (q15_t)0x7ff5, (q15_t)0x7ff4, (q15_t)0x7ff3, (q15_t)0x7ff3, (q15_t)0x7ff2, (q15_t)0x7ff1, (q15_t)0x7ff0, + (q15_t)0x7ff0, (q15_t)0x7fef, (q15_t)0x7fee, (q15_t)0x7fed, (q15_t)0x7fec, (q15_t)0x7fec, (q15_t)0x7feb, (q15_t)0x7fea, + (q15_t)0x7fe9, (q15_t)0x7fe8, (q15_t)0x7fe7, (q15_t)0x7fe6, (q15_t)0x7fe5, (q15_t)0x7fe4, (q15_t)0x7fe3, (q15_t)0x7fe2, + (q15_t)0x7fe1, (q15_t)0x7fe0, (q15_t)0x7fdf, (q15_t)0x7fdd, (q15_t)0x7fdc, (q15_t)0x7fdb, (q15_t)0x7fda, (q15_t)0x7fd9, + (q15_t)0x7fd7, (q15_t)0x7fd6, (q15_t)0x7fd5, (q15_t)0x7fd4, (q15_t)0x7fd2, (q15_t)0x7fd1, (q15_t)0x7fd0, (q15_t)0x7fce, + (q15_t)0x7fcd, (q15_t)0x7fcb, (q15_t)0x7fca, (q15_t)0x7fc9, (q15_t)0x7fc7, (q15_t)0x7fc6, (q15_t)0x7fc4, (q15_t)0x7fc3, + (q15_t)0x7fc1, (q15_t)0x7fc0, (q15_t)0x7fbe, (q15_t)0x7fbc, (q15_t)0x7fbb, (q15_t)0x7fb9, (q15_t)0x7fb7, (q15_t)0x7fb6, + (q15_t)0x7fb4, (q15_t)0x7fb2, (q15_t)0x7fb1, (q15_t)0x7faf, (q15_t)0x7fad, (q15_t)0x7fab, (q15_t)0x7fa9, (q15_t)0x7fa8, + (q15_t)0x7fa6, (q15_t)0x7fa4, (q15_t)0x7fa2, (q15_t)0x7fa0, (q15_t)0x7f9e, (q15_t)0x7f9c, (q15_t)0x7f9a, (q15_t)0x7f98, + (q15_t)0x7f96, (q15_t)0x7f94, (q15_t)0x7f92, (q15_t)0x7f90, (q15_t)0x7f8e, (q15_t)0x7f8c, (q15_t)0x7f8a, (q15_t)0x7f88, + (q15_t)0x7f86, (q15_t)0x7f83, (q15_t)0x7f81, (q15_t)0x7f7f, (q15_t)0x7f7d, (q15_t)0x7f7b, (q15_t)0x7f78, (q15_t)0x7f76, + (q15_t)0x7f74, (q15_t)0x7f71, (q15_t)0x7f6f, (q15_t)0x7f6d, (q15_t)0x7f6a, (q15_t)0x7f68, (q15_t)0x7f65, (q15_t)0x7f63, + (q15_t)0x7f60, (q15_t)0x7f5e, (q15_t)0x7f5b, (q15_t)0x7f59, (q15_t)0x7f56, (q15_t)0x7f54, (q15_t)0x7f51, (q15_t)0x7f4f, + (q15_t)0x7f4c, (q15_t)0x7f49, (q15_t)0x7f47, (q15_t)0x7f44, (q15_t)0x7f41, (q15_t)0x7f3f, (q15_t)0x7f3c, (q15_t)0x7f39, + (q15_t)0x7f36, (q15_t)0x7f34, (q15_t)0x7f31, (q15_t)0x7f2e, (q15_t)0x7f2b, (q15_t)0x7f28, (q15_t)0x7f25, (q15_t)0x7f23, + (q15_t)0x7f20, (q15_t)0x7f1d, (q15_t)0x7f1a, (q15_t)0x7f17, (q15_t)0x7f14, (q15_t)0x7f11, (q15_t)0x7f0e, (q15_t)0x7f0b, + (q15_t)0x7f08, (q15_t)0x7f04, (q15_t)0x7f01, (q15_t)0x7efe, (q15_t)0x7efb, (q15_t)0x7ef8, (q15_t)0x7ef5, (q15_t)0x7ef1, + (q15_t)0x7eee, (q15_t)0x7eeb, (q15_t)0x7ee8, (q15_t)0x7ee4, (q15_t)0x7ee1, (q15_t)0x7ede, (q15_t)0x7eda, (q15_t)0x7ed7, + (q15_t)0x7ed4, (q15_t)0x7ed0, (q15_t)0x7ecd, (q15_t)0x7ec9, (q15_t)0x7ec6, (q15_t)0x7ec3, (q15_t)0x7ebf, (q15_t)0x7ebb, + (q15_t)0x7eb8, (q15_t)0x7eb4, (q15_t)0x7eb1, (q15_t)0x7ead, (q15_t)0x7eaa, (q15_t)0x7ea6, (q15_t)0x7ea2, (q15_t)0x7e9f, + (q15_t)0x7e9b, (q15_t)0x7e97, (q15_t)0x7e94, (q15_t)0x7e90, (q15_t)0x7e8c, (q15_t)0x7e88, (q15_t)0x7e84, (q15_t)0x7e81, + (q15_t)0x7e7d, (q15_t)0x7e79, (q15_t)0x7e75, (q15_t)0x7e71, (q15_t)0x7e6d, (q15_t)0x7e69, (q15_t)0x7e65, (q15_t)0x7e61, + (q15_t)0x7e5d, (q15_t)0x7e59, (q15_t)0x7e55, (q15_t)0x7e51, (q15_t)0x7e4d, (q15_t)0x7e49, (q15_t)0x7e45, (q15_t)0x7e41, + (q15_t)0x7e3d, (q15_t)0x7e39, (q15_t)0x7e34, (q15_t)0x7e30, (q15_t)0x7e2c, (q15_t)0x7e28, (q15_t)0x7e24, (q15_t)0x7e1f, + (q15_t)0x7e1b, (q15_t)0x7e17, (q15_t)0x7e12, (q15_t)0x7e0e, (q15_t)0x7e0a, (q15_t)0x7e05, (q15_t)0x7e01, (q15_t)0x7dfc, + (q15_t)0x7df8, (q15_t)0x7df3, (q15_t)0x7def, (q15_t)0x7dea, (q15_t)0x7de6, (q15_t)0x7de1, (q15_t)0x7ddd, (q15_t)0x7dd8, + (q15_t)0x7dd4, (q15_t)0x7dcf, (q15_t)0x7dca, (q15_t)0x7dc6, (q15_t)0x7dc1, (q15_t)0x7dbc, (q15_t)0x7db8, (q15_t)0x7db3, + (q15_t)0x7dae, (q15_t)0x7da9, (q15_t)0x7da5, 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(q15_t)0x2382, (q15_t)0x236a, (q15_t)0x2352, (q15_t)0x2339, (q15_t)0x2321, (q15_t)0x2309, (q15_t)0x22f1, + (q15_t)0x22d9, (q15_t)0x22c0, (q15_t)0x22a8, (q15_t)0x2290, (q15_t)0x2278, (q15_t)0x2260, (q15_t)0x2247, (q15_t)0x222f, + (q15_t)0x2217, (q15_t)0x21ff, (q15_t)0x21e7, (q15_t)0x21ce, (q15_t)0x21b6, (q15_t)0x219e, (q15_t)0x2186, (q15_t)0x216d, + (q15_t)0x2155, (q15_t)0x213d, (q15_t)0x2125, (q15_t)0x210c, (q15_t)0x20f4, (q15_t)0x20dc, (q15_t)0x20c3, (q15_t)0x20ab, + (q15_t)0x2093, (q15_t)0x207a, (q15_t)0x2062, (q15_t)0x204a, (q15_t)0x2032, (q15_t)0x2019, (q15_t)0x2001, (q15_t)0x1fe9, + (q15_t)0x1fd0, (q15_t)0x1fb8, (q15_t)0x1f9f, (q15_t)0x1f87, (q15_t)0x1f6f, (q15_t)0x1f56, (q15_t)0x1f3e, (q15_t)0x1f26, + (q15_t)0x1f0d, (q15_t)0x1ef5, (q15_t)0x1edd, (q15_t)0x1ec4, (q15_t)0x1eac, (q15_t)0x1e93, (q15_t)0x1e7b, (q15_t)0x1e62, + (q15_t)0x1e4a, (q15_t)0x1e32, (q15_t)0x1e19, (q15_t)0x1e01, (q15_t)0x1de8, (q15_t)0x1dd0, (q15_t)0x1db7, (q15_t)0x1d9f, + (q15_t)0x1d87, (q15_t)0x1d6e, (q15_t)0x1d56, (q15_t)0x1d3d, (q15_t)0x1d25, (q15_t)0x1d0c, (q15_t)0x1cf4, (q15_t)0x1cdb, + (q15_t)0x1cc3, (q15_t)0x1caa, (q15_t)0x1c92, (q15_t)0x1c79, (q15_t)0x1c61, (q15_t)0x1c48, (q15_t)0x1c30, (q15_t)0x1c17, + (q15_t)0x1bff, (q15_t)0x1be6, (q15_t)0x1bce, (q15_t)0x1bb5, (q15_t)0x1b9d, (q15_t)0x1b84, (q15_t)0x1b6c, (q15_t)0x1b53, + (q15_t)0x1b3a, (q15_t)0x1b22, (q15_t)0x1b09, (q15_t)0x1af1, (q15_t)0x1ad8, (q15_t)0x1ac0, (q15_t)0x1aa7, (q15_t)0x1a8e, + (q15_t)0x1a76, (q15_t)0x1a5d, (q15_t)0x1a45, (q15_t)0x1a2c, (q15_t)0x1a13, (q15_t)0x19fb, (q15_t)0x19e2, (q15_t)0x19ca, + (q15_t)0x19b1, (q15_t)0x1998, (q15_t)0x1980, (q15_t)0x1967, (q15_t)0x194e, (q15_t)0x1936, (q15_t)0x191d, (q15_t)0x1905, + (q15_t)0x18ec, (q15_t)0x18d3, (q15_t)0x18bb, (q15_t)0x18a2, (q15_t)0x1889, (q15_t)0x1871, (q15_t)0x1858, (q15_t)0x183f, + (q15_t)0x1827, (q15_t)0x180e, (q15_t)0x17f5, (q15_t)0x17dd, (q15_t)0x17c4, (q15_t)0x17ab, (q15_t)0x1792, (q15_t)0x177a, + (q15_t)0x1761, (q15_t)0x1748, (q15_t)0x1730, (q15_t)0x1717, (q15_t)0x16fe, (q15_t)0x16e5, (q15_t)0x16cd, (q15_t)0x16b4, + (q15_t)0x169b, (q15_t)0x1682, (q15_t)0x166a, (q15_t)0x1651, (q15_t)0x1638, (q15_t)0x161f, (q15_t)0x1607, (q15_t)0x15ee, + (q15_t)0x15d5, (q15_t)0x15bc, (q15_t)0x15a4, (q15_t)0x158b, (q15_t)0x1572, (q15_t)0x1559, (q15_t)0x1541, (q15_t)0x1528, + (q15_t)0x150f, (q15_t)0x14f6, (q15_t)0x14dd, (q15_t)0x14c5, (q15_t)0x14ac, (q15_t)0x1493, (q15_t)0x147a, (q15_t)0x1461, + (q15_t)0x1449, (q15_t)0x1430, (q15_t)0x1417, (q15_t)0x13fe, (q15_t)0x13e5, (q15_t)0x13cc, (q15_t)0x13b4, (q15_t)0x139b, + (q15_t)0x1382, (q15_t)0x1369, (q15_t)0x1350, (q15_t)0x1337, (q15_t)0x131f, (q15_t)0x1306, (q15_t)0x12ed, (q15_t)0x12d4, + (q15_t)0x12bb, (q15_t)0x12a2, (q15_t)0x1289, (q15_t)0x1271, (q15_t)0x1258, (q15_t)0x123f, (q15_t)0x1226, (q15_t)0x120d, + (q15_t)0x11f4, (q15_t)0x11db, (q15_t)0x11c2, (q15_t)0x11a9, (q15_t)0x1191, (q15_t)0x1178, (q15_t)0x115f, (q15_t)0x1146, + (q15_t)0x112d, (q15_t)0x1114, (q15_t)0x10fb, (q15_t)0x10e2, (q15_t)0x10c9, (q15_t)0x10b0, (q15_t)0x1098, (q15_t)0x107f, + (q15_t)0x1066, (q15_t)0x104d, (q15_t)0x1034, (q15_t)0x101b, (q15_t)0x1002, (q15_t)0xfe9, (q15_t)0xfd0, (q15_t)0xfb7, + (q15_t)0xf9e, (q15_t)0xf85, (q15_t)0xf6c, (q15_t)0xf53, (q15_t)0xf3a, (q15_t)0xf21, (q15_t)0xf08, (q15_t)0xef0, + (q15_t)0xed7, (q15_t)0xebe, (q15_t)0xea5, (q15_t)0xe8c, (q15_t)0xe73, (q15_t)0xe5a, (q15_t)0xe41, (q15_t)0xe28, + (q15_t)0xe0f, (q15_t)0xdf6, (q15_t)0xddd, (q15_t)0xdc4, (q15_t)0xdab, (q15_t)0xd92, (q15_t)0xd79, (q15_t)0xd60, + (q15_t)0xd47, (q15_t)0xd2e, (q15_t)0xd15, (q15_t)0xcfc, (q15_t)0xce3, (q15_t)0xcca, (q15_t)0xcb1, (q15_t)0xc98, + (q15_t)0xc7f, (q15_t)0xc66, (q15_t)0xc4d, (q15_t)0xc34, (q15_t)0xc1b, (q15_t)0xc02, (q15_t)0xbe9, (q15_t)0xbd0, + (q15_t)0xbb7, (q15_t)0xb9e, (q15_t)0xb85, (q15_t)0xb6c, (q15_t)0xb53, (q15_t)0xb3a, (q15_t)0xb20, (q15_t)0xb07, + (q15_t)0xaee, (q15_t)0xad5, (q15_t)0xabc, (q15_t)0xaa3, (q15_t)0xa8a, (q15_t)0xa71, (q15_t)0xa58, (q15_t)0xa3f, + (q15_t)0xa26, (q15_t)0xa0d, (q15_t)0x9f4, (q15_t)0x9db, (q15_t)0x9c2, (q15_t)0x9a9, (q15_t)0x990, (q15_t)0x977, + (q15_t)0x95e, (q15_t)0x944, (q15_t)0x92b, (q15_t)0x912, (q15_t)0x8f9, (q15_t)0x8e0, (q15_t)0x8c7, (q15_t)0x8ae, + (q15_t)0x895, (q15_t)0x87c, (q15_t)0x863, (q15_t)0x84a, (q15_t)0x831, (q15_t)0x818, (q15_t)0x7fe, (q15_t)0x7e5, + (q15_t)0x7cc, (q15_t)0x7b3, (q15_t)0x79a, (q15_t)0x781, (q15_t)0x768, (q15_t)0x74f, (q15_t)0x736, (q15_t)0x71d, + (q15_t)0x704, (q15_t)0x6ea, (q15_t)0x6d1, (q15_t)0x6b8, (q15_t)0x69f, (q15_t)0x686, (q15_t)0x66d, (q15_t)0x654, + (q15_t)0x63b, (q15_t)0x622, (q15_t)0x609, (q15_t)0x5ef, (q15_t)0x5d6, (q15_t)0x5bd, (q15_t)0x5a4, (q15_t)0x58b, + (q15_t)0x572, (q15_t)0x559, (q15_t)0x540, (q15_t)0x527, (q15_t)0x50d, (q15_t)0x4f4, (q15_t)0x4db, (q15_t)0x4c2, + (q15_t)0x4a9, (q15_t)0x490, (q15_t)0x477, (q15_t)0x45e, (q15_t)0x445, (q15_t)0x42b, (q15_t)0x412, (q15_t)0x3f9, + (q15_t)0x3e0, (q15_t)0x3c7, (q15_t)0x3ae, (q15_t)0x395, (q15_t)0x37c, (q15_t)0x362, (q15_t)0x349, (q15_t)0x330, + (q15_t)0x317, (q15_t)0x2fe, (q15_t)0x2e5, (q15_t)0x2cc, (q15_t)0x2b3, (q15_t)0x299, (q15_t)0x280, (q15_t)0x267, + (q15_t)0x24e, (q15_t)0x235, (q15_t)0x21c, (q15_t)0x203, (q15_t)0x1ea, (q15_t)0x1d0, (q15_t)0x1b7, (q15_t)0x19e, + (q15_t)0x185, (q15_t)0x16c, (q15_t)0x153, (q15_t)0x13a, (q15_t)0x121, (q15_t)0x107, (q15_t)0xee, (q15_t)0xd5, + (q15_t)0xbc, (q15_t)0xa3, (q15_t)0x8a, (q15_t)0x71, (q15_t)0x57, (q15_t)0x3e, (q15_t)0x25, (q15_t)0xc + +}; + +static const q15_t ALIGN4 cos_factorsQ15_8192[8192] = { + (q15_t)0x7fff, (q15_t)0x7fff, (q15_t)0x7fff, (q15_t)0x7fff, (q15_t)0x7fff, (q15_t)0x7fff, (q15_t)0x7fff, (q15_t)0x7fff, + (q15_t)0x7fff, (q15_t)0x7fff, (q15_t)0x7fff, (q15_t)0x7fff, (q15_t)0x7fff, (q15_t)0x7fff, (q15_t)0x7fff, (q15_t)0x7fff, + (q15_t)0x7fff, (q15_t)0x7fff, (q15_t)0x7fff, (q15_t)0x7fff, (q15_t)0x7fff, (q15_t)0x7fff, (q15_t)0x7fff, (q15_t)0x7fff, + (q15_t)0x7fff, (q15_t)0x7fff, (q15_t)0x7fff, (q15_t)0x7fff, (q15_t)0x7fff, (q15_t)0x7fff, (q15_t)0x7fff, (q15_t)0x7fff, + (q15_t)0x7fff, (q15_t)0x7fff, (q15_t)0x7fff, (q15_t)0x7fff, (q15_t)0x7fff, (q15_t)0x7fff, (q15_t)0x7fff, (q15_t)0x7fff, + (q15_t)0x7fff, (q15_t)0x7ffe, (q15_t)0x7ffe, (q15_t)0x7ffe, (q15_t)0x7ffe, (q15_t)0x7ffe, (q15_t)0x7ffe, (q15_t)0x7ffe, + (q15_t)0x7ffe, (q15_t)0x7ffe, (q15_t)0x7ffe, (q15_t)0x7ffe, (q15_t)0x7ffe, (q15_t)0x7ffe, (q15_t)0x7ffe, (q15_t)0x7ffe, + (q15_t)0x7ffe, (q15_t)0x7ffe, (q15_t)0x7ffd, (q15_t)0x7ffd, (q15_t)0x7ffd, (q15_t)0x7ffd, (q15_t)0x7ffd, (q15_t)0x7ffd, + (q15_t)0x7ffd, (q15_t)0x7ffd, (q15_t)0x7ffd, (q15_t)0x7ffd, (q15_t)0x7ffd, (q15_t)0x7ffd, (q15_t)0x7ffd, (q15_t)0x7ffc, + (q15_t)0x7ffc, (q15_t)0x7ffc, (q15_t)0x7ffc, (q15_t)0x7ffc, (q15_t)0x7ffc, (q15_t)0x7ffc, (q15_t)0x7ffc, (q15_t)0x7ffc, + (q15_t)0x7ffc, (q15_t)0x7ffb, (q15_t)0x7ffb, (q15_t)0x7ffb, (q15_t)0x7ffb, (q15_t)0x7ffb, (q15_t)0x7ffb, (q15_t)0x7ffb, + (q15_t)0x7ffb, (q15_t)0x7ffb, (q15_t)0x7ffb, (q15_t)0x7ffa, (q15_t)0x7ffa, (q15_t)0x7ffa, (q15_t)0x7ffa, (q15_t)0x7ffa, + (q15_t)0x7ffa, (q15_t)0x7ffa, (q15_t)0x7ffa, (q15_t)0x7ffa, (q15_t)0x7ff9, (q15_t)0x7ff9, (q15_t)0x7ff9, (q15_t)0x7ff9, + (q15_t)0x7ff9, (q15_t)0x7ff9, (q15_t)0x7ff9, (q15_t)0x7ff9, (q15_t)0x7ff8, (q15_t)0x7ff8, (q15_t)0x7ff8, (q15_t)0x7ff8, + (q15_t)0x7ff8, (q15_t)0x7ff8, (q15_t)0x7ff8, (q15_t)0x7ff7, (q15_t)0x7ff7, (q15_t)0x7ff7, (q15_t)0x7ff7, (q15_t)0x7ff7, + (q15_t)0x7ff7, (q15_t)0x7ff7, (q15_t)0x7ff6, (q15_t)0x7ff6, (q15_t)0x7ff6, (q15_t)0x7ff6, (q15_t)0x7ff6, (q15_t)0x7ff6, + (q15_t)0x7ff6, (q15_t)0x7ff5, (q15_t)0x7ff5, (q15_t)0x7ff5, (q15_t)0x7ff5, (q15_t)0x7ff5, (q15_t)0x7ff5, (q15_t)0x7ff4, + (q15_t)0x7ff4, (q15_t)0x7ff4, (q15_t)0x7ff4, (q15_t)0x7ff4, (q15_t)0x7ff4, (q15_t)0x7ff3, (q15_t)0x7ff3, (q15_t)0x7ff3, + (q15_t)0x7ff3, (q15_t)0x7ff3, (q15_t)0x7ff3, (q15_t)0x7ff2, (q15_t)0x7ff2, (q15_t)0x7ff2, (q15_t)0x7ff2, (q15_t)0x7ff2, + (q15_t)0x7ff1, (q15_t)0x7ff1, (q15_t)0x7ff1, (q15_t)0x7ff1, (q15_t)0x7ff1, (q15_t)0x7ff1, (q15_t)0x7ff0, (q15_t)0x7ff0, + (q15_t)0x7ff0, (q15_t)0x7ff0, (q15_t)0x7ff0, (q15_t)0x7fef, (q15_t)0x7fef, (q15_t)0x7fef, (q15_t)0x7fef, (q15_t)0x7fef, + (q15_t)0x7fee, (q15_t)0x7fee, (q15_t)0x7fee, (q15_t)0x7fee, (q15_t)0x7fee, (q15_t)0x7fed, (q15_t)0x7fed, (q15_t)0x7fed, + (q15_t)0x7fed, (q15_t)0x7fed, (q15_t)0x7fec, (q15_t)0x7fec, (q15_t)0x7fec, (q15_t)0x7fec, (q15_t)0x7feb, (q15_t)0x7feb, + (q15_t)0x7feb, (q15_t)0x7feb, (q15_t)0x7feb, (q15_t)0x7fea, (q15_t)0x7fea, (q15_t)0x7fea, (q15_t)0x7fea, (q15_t)0x7fe9, + (q15_t)0x7fe9, (q15_t)0x7fe9, (q15_t)0x7fe9, (q15_t)0x7fe8, (q15_t)0x7fe8, (q15_t)0x7fe8, (q15_t)0x7fe8, (q15_t)0x7fe8, + (q15_t)0x7fe7, (q15_t)0x7fe7, (q15_t)0x7fe7, (q15_t)0x7fe7, (q15_t)0x7fe6, (q15_t)0x7fe6, (q15_t)0x7fe6, (q15_t)0x7fe6, + (q15_t)0x7fe5, (q15_t)0x7fe5, (q15_t)0x7fe5, (q15_t)0x7fe5, (q15_t)0x7fe4, (q15_t)0x7fe4, (q15_t)0x7fe4, (q15_t)0x7fe4, + (q15_t)0x7fe3, (q15_t)0x7fe3, (q15_t)0x7fe3, (q15_t)0x7fe2, (q15_t)0x7fe2, (q15_t)0x7fe2, (q15_t)0x7fe2, (q15_t)0x7fe1, + (q15_t)0x7fe1, (q15_t)0x7fe1, (q15_t)0x7fe1, (q15_t)0x7fe0, (q15_t)0x7fe0, (q15_t)0x7fe0, (q15_t)0x7fdf, (q15_t)0x7fdf, + (q15_t)0x7fdf, (q15_t)0x7fdf, (q15_t)0x7fde, (q15_t)0x7fde, (q15_t)0x7fde, (q15_t)0x7fde, (q15_t)0x7fdd, (q15_t)0x7fdd, + (q15_t)0x7fdd, (q15_t)0x7fdc, (q15_t)0x7fdc, (q15_t)0x7fdc, (q15_t)0x7fdb, (q15_t)0x7fdb, (q15_t)0x7fdb, (q15_t)0x7fdb, + (q15_t)0x7fda, (q15_t)0x7fda, (q15_t)0x7fda, (q15_t)0x7fd9, (q15_t)0x7fd9, (q15_t)0x7fd9, (q15_t)0x7fd8, (q15_t)0x7fd8, + (q15_t)0x7fd8, (q15_t)0x7fd8, (q15_t)0x7fd7, (q15_t)0x7fd7, (q15_t)0x7fd7, (q15_t)0x7fd6, (q15_t)0x7fd6, (q15_t)0x7fd6, + (q15_t)0x7fd5, (q15_t)0x7fd5, (q15_t)0x7fd5, (q15_t)0x7fd4, (q15_t)0x7fd4, (q15_t)0x7fd4, (q15_t)0x7fd3, (q15_t)0x7fd3, + (q15_t)0x7fd3, (q15_t)0x7fd2, (q15_t)0x7fd2, (q15_t)0x7fd2, (q15_t)0x7fd1, (q15_t)0x7fd1, (q15_t)0x7fd1, (q15_t)0x7fd0, + (q15_t)0x7fd0, (q15_t)0x7fd0, (q15_t)0x7fcf, (q15_t)0x7fcf, (q15_t)0x7fcf, (q15_t)0x7fce, (q15_t)0x7fce, (q15_t)0x7fce, + (q15_t)0x7fcd, (q15_t)0x7fcd, (q15_t)0x7fcd, 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(q15_t)0x4d8, (q15_t)0x4d2, (q15_t)0x4cc, (q15_t)0x4c5, (q15_t)0x4bf, (q15_t)0x4b9, + (q15_t)0x4b2, (q15_t)0x4ac, (q15_t)0x4a6, (q15_t)0x4a0, (q15_t)0x499, (q15_t)0x493, (q15_t)0x48d, (q15_t)0x487, + (q15_t)0x480, (q15_t)0x47a, (q15_t)0x474, (q15_t)0x46d, (q15_t)0x467, (q15_t)0x461, (q15_t)0x45b, (q15_t)0x454, + (q15_t)0x44e, (q15_t)0x448, (q15_t)0x441, (q15_t)0x43b, (q15_t)0x435, (q15_t)0x42f, (q15_t)0x428, (q15_t)0x422, + (q15_t)0x41c, (q15_t)0x415, (q15_t)0x40f, (q15_t)0x409, (q15_t)0x403, (q15_t)0x3fc, (q15_t)0x3f6, (q15_t)0x3f0, + (q15_t)0x3ea, (q15_t)0x3e3, (q15_t)0x3dd, (q15_t)0x3d7, (q15_t)0x3d0, (q15_t)0x3ca, (q15_t)0x3c4, (q15_t)0x3be, + (q15_t)0x3b7, (q15_t)0x3b1, (q15_t)0x3ab, (q15_t)0x3a4, (q15_t)0x39e, (q15_t)0x398, (q15_t)0x392, (q15_t)0x38b, + (q15_t)0x385, (q15_t)0x37f, (q15_t)0x378, (q15_t)0x372, (q15_t)0x36c, (q15_t)0x366, (q15_t)0x35f, (q15_t)0x359, + (q15_t)0x353, (q15_t)0x34c, (q15_t)0x346, (q15_t)0x340, (q15_t)0x33a, (q15_t)0x333, (q15_t)0x32d, (q15_t)0x327, + (q15_t)0x321, (q15_t)0x31a, (q15_t)0x314, (q15_t)0x30e, (q15_t)0x307, (q15_t)0x301, (q15_t)0x2fb, (q15_t)0x2f5, + (q15_t)0x2ee, (q15_t)0x2e8, (q15_t)0x2e2, (q15_t)0x2db, (q15_t)0x2d5, (q15_t)0x2cf, (q15_t)0x2c9, (q15_t)0x2c2, + (q15_t)0x2bc, (q15_t)0x2b6, (q15_t)0x2af, (q15_t)0x2a9, (q15_t)0x2a3, (q15_t)0x29d, (q15_t)0x296, (q15_t)0x290, + (q15_t)0x28a, (q15_t)0x283, (q15_t)0x27d, (q15_t)0x277, (q15_t)0x271, (q15_t)0x26a, (q15_t)0x264, (q15_t)0x25e, + (q15_t)0x258, (q15_t)0x251, (q15_t)0x24b, (q15_t)0x245, (q15_t)0x23e, (q15_t)0x238, (q15_t)0x232, (q15_t)0x22c, + (q15_t)0x225, (q15_t)0x21f, (q15_t)0x219, (q15_t)0x212, (q15_t)0x20c, (q15_t)0x206, (q15_t)0x200, (q15_t)0x1f9, + (q15_t)0x1f3, (q15_t)0x1ed, (q15_t)0x1e6, (q15_t)0x1e0, (q15_t)0x1da, (q15_t)0x1d4, (q15_t)0x1cd, (q15_t)0x1c7, + (q15_t)0x1c1, (q15_t)0x1ba, (q15_t)0x1b4, (q15_t)0x1ae, (q15_t)0x1a8, (q15_t)0x1a1, (q15_t)0x19b, (q15_t)0x195, + (q15_t)0x18e, (q15_t)0x188, (q15_t)0x182, (q15_t)0x17c, (q15_t)0x175, (q15_t)0x16f, (q15_t)0x169, (q15_t)0x162, + (q15_t)0x15c, (q15_t)0x156, (q15_t)0x150, (q15_t)0x149, (q15_t)0x143, (q15_t)0x13d, (q15_t)0x137, (q15_t)0x130, + (q15_t)0x12a, (q15_t)0x124, (q15_t)0x11d, (q15_t)0x117, (q15_t)0x111, (q15_t)0x10b, (q15_t)0x104, (q15_t)0xfe, + (q15_t)0xf8, (q15_t)0xf1, (q15_t)0xeb, (q15_t)0xe5, (q15_t)0xdf, (q15_t)0xd8, (q15_t)0xd2, (q15_t)0xcc, + (q15_t)0xc5, (q15_t)0xbf, (q15_t)0xb9, (q15_t)0xb3, (q15_t)0xac, (q15_t)0xa6, (q15_t)0xa0, (q15_t)0x99, + (q15_t)0x93, (q15_t)0x8d, (q15_t)0x87, (q15_t)0x80, (q15_t)0x7a, (q15_t)0x74, (q15_t)0x6d, (q15_t)0x67, + (q15_t)0x61, (q15_t)0x5b, (q15_t)0x54, (q15_t)0x4e, (q15_t)0x48, (q15_t)0x41, (q15_t)0x3b, (q15_t)0x35, + (q15_t)0x2f, (q15_t)0x28, (q15_t)0x22, (q15_t)0x1c, (q15_t)0x15, (q15_t)0xf, (q15_t)0x9, (q15_t)0x3 +}; + +/** + * @} end of DCT4_IDCT4_Table group + */ + +/** + * @addtogroup DCT4_IDCT4 + * @{ + */ + +/** + * @brief Initialization function for the Q15 DCT4/IDCT4. + * @param[in,out] *S points to an instance of Q15 DCT4/IDCT4 structure. + * @param[in] *S_RFFT points to an instance of Q15 RFFT/RIFFT structure. + * @param[in] *S_CFFT points to an instance of Q15 CFFT/CIFFT structure. + * @param[in] N length of the DCT4. + * @param[in] Nby2 half of the length of the DCT4. + * @param[in] normalize normalizing factor. + * @return arm_status function returns ARM_MATH_SUCCESS if initialization is successful or ARM_MATH_ARGUMENT_ERROR if N is not a supported transform length. + * \par Normalizing factor: + * The normalizing factor is sqrt(2/N), which depends on the size of transform N. + * Normalizing factors in 1.15 format are mentioned in the table below for different DCT sizes: + * \image html dct4NormalizingQ15Table.gif + */ + +arm_status arm_dct4_init_q15( + arm_dct4_instance_q15 * S, + arm_rfft_instance_q15 * S_RFFT, + arm_cfft_radix4_instance_q15 * S_CFFT, + uint16_t N, + uint16_t Nby2, + q15_t normalize) +{ + /* Initialise the default arm status */ + arm_status status = ARM_MATH_SUCCESS; + + /* Initializing the pointer array with the weight table base addresses of different lengths */ + q15_t *twiddlePtr[4] = { (q15_t *) WeightsQ15_128, (q15_t *) WeightsQ15_512, + (q15_t *) WeightsQ15_2048, (q15_t *) WeightsQ15_8192 + }; + + /* Initializing the pointer array with the cos factor table base addresses of different lengths */ + q15_t *pCosFactor[4] = + { (q15_t *) cos_factorsQ15_128, (q15_t *) cos_factorsQ15_512, + (q15_t *) cos_factorsQ15_2048, (q15_t *) cos_factorsQ15_8192 + }; + + /* Initialize the DCT4 length */ + S->N = N; + + /* Initialize the half of DCT4 length */ + S->Nby2 = Nby2; + + /* Initialize the DCT4 Normalizing factor */ + S->normalize = normalize; + + /* Initialize Real FFT Instance */ + S->pRfft = S_RFFT; + + /* Initialize Complex FFT Instance */ + S->pCfft = S_CFFT; + + switch (N) + { + /* Initialize the table modifier values */ + case 8192U: + S->pTwiddle = twiddlePtr[3]; + S->pCosFactor = pCosFactor[3]; + break; + case 2048U: + S->pTwiddle = twiddlePtr[2]; + S->pCosFactor = pCosFactor[2]; + break; + case 512U: + S->pTwiddle = twiddlePtr[1]; + S->pCosFactor = pCosFactor[1]; + break; + case 128U: + S->pTwiddle = twiddlePtr[0]; + S->pCosFactor = pCosFactor[0]; + break; + default: + status = ARM_MATH_ARGUMENT_ERROR; + } + + /* Initialize the RFFT/RIFFT */ + arm_rfft_init_q15(S->pRfft, S->N, 0U, 1U); + + /* return the status of DCT4 Init function */ + return (status); +} + +/** + * @} end of DCT4_IDCT4 group + */ diff --git a/fw/hid-dials/Drivers/CMSIS/DSP/Source/TransformFunctions/arm_dct4_init_q31.c b/fw/hid-dials/Drivers/CMSIS/DSP/Source/TransformFunctions/arm_dct4_init_q31.c new file mode 100644 index 0000000..5873a33 --- /dev/null +++ b/fw/hid-dials/Drivers/CMSIS/DSP/Source/TransformFunctions/arm_dct4_init_q31.c @@ -0,0 +1,7686 @@ +/* ---------------------------------------------------------------------- + * Project: CMSIS DSP Library + * Title: arm_dct4_init_q31.c + * Description: Initialization function of DCT-4 & IDCT4 Q31 + * + * $Date: 27. January 2017 + * $Revision: V.1.5.1 + * + * Target Processor: Cortex-M cores + * -------------------------------------------------------------------- */ +/* + * Copyright (C) 2010-2017 ARM Limited or its affiliates. All rights reserved. + * + * SPDX-License-Identifier: Apache-2.0 + * + * Licensed under the Apache License, Version 2.0 (the License); you may + * not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an AS IS BASIS, WITHOUT + * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ + +#include "arm_math.h" + +/** + * @ingroup DCT4_IDCT4 + */ + +/** + * @addtogroup DCT4_IDCT4_Table DCT Type IV Tables + * @{ + */ + +/* +* @brief Weights Table +*/ + +/** + * \par + * Weights tables are generated using the formula :
weights[n] = e^(-j*n*pi/(2*N))
+ * \par + * C command to generate the table + *
+ * for(i = 0; i< N; i++)
+ * {
+ *   weights[2*i]= cos(i*c);
+ *   weights[(2*i)+1]= -sin(i * c);
+ * } 
+ * \par + * where N is the Number of weights to be calculated and c is pi/(2*N) + * \par + * Convert the output to q31 format by multiplying with 2^31 and saturated if required. + * \par + * In the tables below the real and imaginary values are placed alternatively, hence the + * array length is 2*N. + */ + +static const q31_t WeightsQ31_128[256] = { + (q31_t)0x7fffffff, (q31_t)0x00000000, (q31_t)0x7ffd885a, (q31_t)0xfe6de2e0, (q31_t)0x7ff62182, (q31_t)0xfcdbd541, (q31_t)0x7fe9cbc0, (q31_t)0xfb49e6a3, + (q31_t)0x7fd8878e, (q31_t)0xf9b82684, (q31_t)0x7fc25596, (q31_t)0xf826a462, (q31_t)0x7fa736b4, (q31_t)0xf6956fb7, (q31_t)0x7f872bf3, (q31_t)0xf50497fb, + (q31_t)0x7f62368f, (q31_t)0xf3742ca2, (q31_t)0x7f3857f6, (q31_t)0xf1e43d1c, (q31_t)0x7f0991c4, (q31_t)0xf054d8d5, (q31_t)0x7ed5e5c6, (q31_t)0xeec60f31, + (q31_t)0x7e9d55fc, (q31_t)0xed37ef91, (q31_t)0x7e5fe493, (q31_t)0xebaa894f, (q31_t)0x7e1d93ea, (q31_t)0xea1debbb, (q31_t)0x7dd6668f, (q31_t)0xe8922622, + (q31_t)0x7d8a5f40, (q31_t)0xe70747c4, (q31_t)0x7d3980ec, (q31_t)0xe57d5fda, (q31_t)0x7ce3ceb2, (q31_t)0xe3f47d96, (q31_t)0x7c894bde, (q31_t)0xe26cb01b, + (q31_t)0x7c29fbee, (q31_t)0xe0e60685, (q31_t)0x7bc5e290, (q31_t)0xdf608fe4, (q31_t)0x7b5d039e, (q31_t)0xdddc5b3b, (q31_t)0x7aef6323, (q31_t)0xdc597781, + (q31_t)0x7a7d055b, (q31_t)0xdad7f3a2, (q31_t)0x7a05eead, (q31_t)0xd957de7a, (q31_t)0x798a23b1, (q31_t)0xd7d946d8, (q31_t)0x7909a92d, (q31_t)0xd65c3b7b, + (q31_t)0x78848414, (q31_t)0xd4e0cb15, (q31_t)0x77fab989, (q31_t)0xd3670446, (q31_t)0x776c4edb, (q31_t)0xd1eef59e, (q31_t)0x76d94989, (q31_t)0xd078ad9e, + (q31_t)0x7641af3d, (q31_t)0xcf043ab3, (q31_t)0x75a585cf, (q31_t)0xcd91ab39, (q31_t)0x7504d345, (q31_t)0xcc210d79, (q31_t)0x745f9dd1, (q31_t)0xcab26fa9, + (q31_t)0x73b5ebd1, (q31_t)0xc945dfec, (q31_t)0x7307c3d0, (q31_t)0xc7db6c50, (q31_t)0x72552c85, (q31_t)0xc67322ce, (q31_t)0x719e2cd2, (q31_t)0xc50d1149, + (q31_t)0x70e2cbc6, (q31_t)0xc3a94590, (q31_t)0x7023109a, (q31_t)0xc247cd5a, (q31_t)0x6f5f02b2, (q31_t)0xc0e8b648, (q31_t)0x6e96a99d, (q31_t)0xbf8c0de3, + (q31_t)0x6dca0d14, (q31_t)0xbe31e19b, (q31_t)0x6cf934fc, (q31_t)0xbcda3ecb, (q31_t)0x6c242960, (q31_t)0xbb8532b0, (q31_t)0x6b4af279, (q31_t)0xba32ca71, + (q31_t)0x6a6d98a4, (q31_t)0xb8e31319, (q31_t)0x698c246c, (q31_t)0xb796199b, (q31_t)0x68a69e81, (q31_t)0xb64beacd, (q31_t)0x67bd0fbd, (q31_t)0xb5049368, + (q31_t)0x66cf8120, (q31_t)0xb3c0200c, (q31_t)0x65ddfbd3, (q31_t)0xb27e9d3c, (q31_t)0x64e88926, (q31_t)0xb140175b, (q31_t)0x63ef3290, (q31_t)0xb0049ab3, + (q31_t)0x62f201ac, (q31_t)0xaecc336c, (q31_t)0x61f1003f, (q31_t)0xad96ed92, (q31_t)0x60ec3830, (q31_t)0xac64d510, (q31_t)0x5fe3b38d, (q31_t)0xab35f5b5, + (q31_t)0x5ed77c8a, (q31_t)0xaa0a5b2e, (q31_t)0x5dc79d7c, (q31_t)0xa8e21106, (q31_t)0x5cb420e0, (q31_t)0xa7bd22ac, (q31_t)0x5b9d1154, (q31_t)0xa69b9b68, + (q31_t)0x5a82799a, (q31_t)0xa57d8666, (q31_t)0x59646498, (q31_t)0xa462eeac, (q31_t)0x5842dd54, (q31_t)0xa34bdf20, (q31_t)0x571deefa, (q31_t)0xa2386284, + (q31_t)0x55f5a4d2, (q31_t)0xa1288376, (q31_t)0x54ca0a4b, (q31_t)0xa01c4c73, (q31_t)0x539b2af0, (q31_t)0x9f13c7d0, (q31_t)0x5269126e, (q31_t)0x9e0effc1, + (q31_t)0x5133cc94, (q31_t)0x9d0dfe54, (q31_t)0x4ffb654d, (q31_t)0x9c10cd70, (q31_t)0x4ebfe8a5, (q31_t)0x9b1776da, (q31_t)0x4d8162c4, (q31_t)0x9a22042d, + (q31_t)0x4c3fdff4, (q31_t)0x99307ee0, (q31_t)0x4afb6c98, (q31_t)0x9842f043, (q31_t)0x49b41533, (q31_t)0x9759617f, (q31_t)0x4869e665, (q31_t)0x9673db94, + (q31_t)0x471cece7, (q31_t)0x9592675c, (q31_t)0x45cd358f, (q31_t)0x94b50d87, (q31_t)0x447acd50, (q31_t)0x93dbd6a0, (q31_t)0x4325c135, (q31_t)0x9306cb04, + (q31_t)0x41ce1e65, (q31_t)0x9235f2ec, (q31_t)0x4073f21d, (q31_t)0x91695663, (q31_t)0x3f1749b8, (q31_t)0x90a0fd4e, (q31_t)0x3db832a6, (q31_t)0x8fdcef66, + (q31_t)0x3c56ba70, (q31_t)0x8f1d343a, (q31_t)0x3af2eeb7, (q31_t)0x8e61d32e, (q31_t)0x398cdd32, (q31_t)0x8daad37b, (q31_t)0x382493b0, (q31_t)0x8cf83c30, + (q31_t)0x36ba2014, (q31_t)0x8c4a142f, (q31_t)0x354d9057, (q31_t)0x8ba0622f, (q31_t)0x33def287, (q31_t)0x8afb2cbb, (q31_t)0x326e54c7, (q31_t)0x8a5a7a31, + (q31_t)0x30fbc54d, (q31_t)0x89be50c3, (q31_t)0x2f875262, (q31_t)0x8926b677, (q31_t)0x2e110a62, (q31_t)0x8893b125, (q31_t)0x2c98fbba, (q31_t)0x88054677, + (q31_t)0x2b1f34eb, (q31_t)0x877b7bec, (q31_t)0x29a3c485, (q31_t)0x86f656d3, (q31_t)0x2826b928, (q31_t)0x8675dc4f, (q31_t)0x26a82186, (q31_t)0x85fa1153, + (q31_t)0x25280c5e, (q31_t)0x8582faa5, (q31_t)0x23a6887f, (q31_t)0x85109cdd, (q31_t)0x2223a4c5, (q31_t)0x84a2fc62, (q31_t)0x209f701c, (q31_t)0x843a1d70, + (q31_t)0x1f19f97b, (q31_t)0x83d60412, (q31_t)0x1d934fe5, (q31_t)0x8376b422, (q31_t)0x1c0b826a, (q31_t)0x831c314e, (q31_t)0x1a82a026, (q31_t)0x82c67f14, + (q31_t)0x18f8b83c, (q31_t)0x8275a0c0, (q31_t)0x176dd9de, (q31_t)0x82299971, (q31_t)0x15e21445, (q31_t)0x81e26c16, (q31_t)0x145576b1, (q31_t)0x81a01b6d, + (q31_t)0x12c8106f, (q31_t)0x8162aa04, (q31_t)0x1139f0cf, (q31_t)0x812a1a3a, (q31_t)0xfab272b, (q31_t)0x80f66e3c, (q31_t)0xe1bc2e4, (q31_t)0x80c7a80a, + (q31_t)0xc8bd35e, (q31_t)0x809dc971, (q31_t)0xafb6805, (q31_t)0x8078d40d, (q31_t)0x96a9049, (q31_t)0x8058c94c, (q31_t)0x7d95b9e, (q31_t)0x803daa6a, + (q31_t)0x647d97c, (q31_t)0x80277872, (q31_t)0x4b6195d, (q31_t)0x80163440, (q31_t)0x3242abf, (q31_t)0x8009de7e, (q31_t)0x1921d20, (q31_t)0x800277a6 +}; + +static const q31_t WeightsQ31_512[1024] = { + (q31_t)0x7fffffff, (q31_t)0x00000000, (q31_t)0x7fffd886, (q31_t)0xff9b781d, (q31_t)0x7fff6216, (q31_t)0xff36f078, (q31_t)0x7ffe9cb2, (q31_t)0xfed2694f, + (q31_t)0x7ffd885a, (q31_t)0xfe6de2e0, (q31_t)0x7ffc250f, (q31_t)0xfe095d69, (q31_t)0x7ffa72d1, (q31_t)0xfda4d929, (q31_t)0x7ff871a2, (q31_t)0xfd40565c, + (q31_t)0x7ff62182, (q31_t)0xfcdbd541, (q31_t)0x7ff38274, (q31_t)0xfc775616, (q31_t)0x7ff09478, (q31_t)0xfc12d91a, (q31_t)0x7fed5791, (q31_t)0xfbae5e89, + (q31_t)0x7fe9cbc0, (q31_t)0xfb49e6a3, (q31_t)0x7fe5f108, (q31_t)0xfae571a4, (q31_t)0x7fe1c76b, (q31_t)0xfa80ffcb, (q31_t)0x7fdd4eec, (q31_t)0xfa1c9157, + (q31_t)0x7fd8878e, (q31_t)0xf9b82684, (q31_t)0x7fd37153, (q31_t)0xf953bf91, (q31_t)0x7fce0c3e, (q31_t)0xf8ef5cbb, (q31_t)0x7fc85854, (q31_t)0xf88afe42, + (q31_t)0x7fc25596, (q31_t)0xf826a462, (q31_t)0x7fbc040a, (q31_t)0xf7c24f59, (q31_t)0x7fb563b3, (q31_t)0xf75dff66, (q31_t)0x7fae7495, (q31_t)0xf6f9b4c6, + (q31_t)0x7fa736b4, (q31_t)0xf6956fb7, (q31_t)0x7f9faa15, (q31_t)0xf6313077, (q31_t)0x7f97cebd, (q31_t)0xf5ccf743, (q31_t)0x7f8fa4b0, (q31_t)0xf568c45b, + (q31_t)0x7f872bf3, (q31_t)0xf50497fb, (q31_t)0x7f7e648c, (q31_t)0xf4a07261, (q31_t)0x7f754e80, (q31_t)0xf43c53cb, (q31_t)0x7f6be9d4, (q31_t)0xf3d83c77, + (q31_t)0x7f62368f, (q31_t)0xf3742ca2, (q31_t)0x7f5834b7, (q31_t)0xf310248a, (q31_t)0x7f4de451, (q31_t)0xf2ac246e, (q31_t)0x7f434563, (q31_t)0xf2482c8a, + (q31_t)0x7f3857f6, (q31_t)0xf1e43d1c, (q31_t)0x7f2d1c0e, (q31_t)0xf1805662, (q31_t)0x7f2191b4, (q31_t)0xf11c789a, (q31_t)0x7f15b8ee, (q31_t)0xf0b8a401, + (q31_t)0x7f0991c4, (q31_t)0xf054d8d5, (q31_t)0x7efd1c3c, (q31_t)0xeff11753, (q31_t)0x7ef05860, (q31_t)0xef8d5fb8, (q31_t)0x7ee34636, (q31_t)0xef29b243, + (q31_t)0x7ed5e5c6, (q31_t)0xeec60f31, (q31_t)0x7ec8371a, (q31_t)0xee6276bf, (q31_t)0x7eba3a39, (q31_t)0xedfee92b, (q31_t)0x7eabef2c, (q31_t)0xed9b66b2, + (q31_t)0x7e9d55fc, (q31_t)0xed37ef91, (q31_t)0x7e8e6eb2, (q31_t)0xecd48407, (q31_t)0x7e7f3957, (q31_t)0xec71244f, (q31_t)0x7e6fb5f4, (q31_t)0xec0dd0a8, + (q31_t)0x7e5fe493, (q31_t)0xebaa894f, (q31_t)0x7e4fc53e, (q31_t)0xeb474e81, (q31_t)0x7e3f57ff, (q31_t)0xeae4207a, (q31_t)0x7e2e9cdf, (q31_t)0xea80ff7a, + (q31_t)0x7e1d93ea, (q31_t)0xea1debbb, (q31_t)0x7e0c3d29, (q31_t)0xe9bae57d, (q31_t)0x7dfa98a8, (q31_t)0xe957ecfb, (q31_t)0x7de8a670, (q31_t)0xe8f50273, + (q31_t)0x7dd6668f, (q31_t)0xe8922622, (q31_t)0x7dc3d90d, (q31_t)0xe82f5844, (q31_t)0x7db0fdf8, (q31_t)0xe7cc9917, (q31_t)0x7d9dd55a, (q31_t)0xe769e8d8, + (q31_t)0x7d8a5f40, (q31_t)0xe70747c4, (q31_t)0x7d769bb5, (q31_t)0xe6a4b616, (q31_t)0x7d628ac6, (q31_t)0xe642340d, (q31_t)0x7d4e2c7f, (q31_t)0xe5dfc1e5, + (q31_t)0x7d3980ec, (q31_t)0xe57d5fda, (q31_t)0x7d24881b, (q31_t)0xe51b0e2a, (q31_t)0x7d0f4218, (q31_t)0xe4b8cd11, (q31_t)0x7cf9aef0, (q31_t)0xe4569ccb, + (q31_t)0x7ce3ceb2, (q31_t)0xe3f47d96, (q31_t)0x7ccda169, (q31_t)0xe3926fad, (q31_t)0x7cb72724, (q31_t)0xe330734d, (q31_t)0x7ca05ff1, (q31_t)0xe2ce88b3, + (q31_t)0x7c894bde, (q31_t)0xe26cb01b, (q31_t)0x7c71eaf9, (q31_t)0xe20ae9c1, (q31_t)0x7c5a3d50, (q31_t)0xe1a935e2, (q31_t)0x7c4242f2, (q31_t)0xe14794ba, + (q31_t)0x7c29fbee, (q31_t)0xe0e60685, (q31_t)0x7c116853, (q31_t)0xe0848b7f, (q31_t)0x7bf88830, (q31_t)0xe02323e5, (q31_t)0x7bdf5b94, (q31_t)0xdfc1cff3, + (q31_t)0x7bc5e290, (q31_t)0xdf608fe4, (q31_t)0x7bac1d31, (q31_t)0xdeff63f4, (q31_t)0x7b920b89, (q31_t)0xde9e4c60, (q31_t)0x7b77ada8, (q31_t)0xde3d4964, + (q31_t)0x7b5d039e, (q31_t)0xdddc5b3b, (q31_t)0x7b420d7a, (q31_t)0xdd7b8220, (q31_t)0x7b26cb4f, (q31_t)0xdd1abe51, (q31_t)0x7b0b3d2c, (q31_t)0xdcba1008, + (q31_t)0x7aef6323, (q31_t)0xdc597781, (q31_t)0x7ad33d45, (q31_t)0xdbf8f4f8, (q31_t)0x7ab6cba4, (q31_t)0xdb9888a8, (q31_t)0x7a9a0e50, (q31_t)0xdb3832cd, + (q31_t)0x7a7d055b, (q31_t)0xdad7f3a2, (q31_t)0x7a5fb0d8, (q31_t)0xda77cb63, (q31_t)0x7a4210d8, (q31_t)0xda17ba4a, (q31_t)0x7a24256f, (q31_t)0xd9b7c094, + (q31_t)0x7a05eead, (q31_t)0xd957de7a, (q31_t)0x79e76ca7, (q31_t)0xd8f81439, (q31_t)0x79c89f6e, (q31_t)0xd898620c, (q31_t)0x79a98715, (q31_t)0xd838c82d, + (q31_t)0x798a23b1, (q31_t)0xd7d946d8, (q31_t)0x796a7554, (q31_t)0xd779de47, (q31_t)0x794a7c12, (q31_t)0xd71a8eb5, (q31_t)0x792a37fe, (q31_t)0xd6bb585e, + (q31_t)0x7909a92d, (q31_t)0xd65c3b7b, (q31_t)0x78e8cfb2, (q31_t)0xd5fd3848, (q31_t)0x78c7aba2, (q31_t)0xd59e4eff, (q31_t)0x78a63d11, (q31_t)0xd53f7fda, + (q31_t)0x78848414, (q31_t)0xd4e0cb15, (q31_t)0x786280bf, (q31_t)0xd48230e9, (q31_t)0x78403329, (q31_t)0xd423b191, (q31_t)0x781d9b65, (q31_t)0xd3c54d47, + (q31_t)0x77fab989, (q31_t)0xd3670446, (q31_t)0x77d78daa, (q31_t)0xd308d6c7, (q31_t)0x77b417df, (q31_t)0xd2aac504, (q31_t)0x7790583e, (q31_t)0xd24ccf39, + (q31_t)0x776c4edb, (q31_t)0xd1eef59e, (q31_t)0x7747fbce, (q31_t)0xd191386e, (q31_t)0x77235f2d, (q31_t)0xd13397e2, (q31_t)0x76fe790e, (q31_t)0xd0d61434, + (q31_t)0x76d94989, (q31_t)0xd078ad9e, (q31_t)0x76b3d0b4, (q31_t)0xd01b6459, (q31_t)0x768e0ea6, (q31_t)0xcfbe389f, (q31_t)0x76680376, (q31_t)0xcf612aaa, + (q31_t)0x7641af3d, (q31_t)0xcf043ab3, (q31_t)0x761b1211, (q31_t)0xcea768f2, (q31_t)0x75f42c0b, (q31_t)0xce4ab5a2, (q31_t)0x75ccfd42, (q31_t)0xcdee20fc, + (q31_t)0x75a585cf, (q31_t)0xcd91ab39, (q31_t)0x757dc5ca, (q31_t)0xcd355491, (q31_t)0x7555bd4c, (q31_t)0xccd91d3d, (q31_t)0x752d6c6c, (q31_t)0xcc7d0578, + (q31_t)0x7504d345, (q31_t)0xcc210d79, (q31_t)0x74dbf1ef, (q31_t)0xcbc53579, (q31_t)0x74b2c884, (q31_t)0xcb697db0, (q31_t)0x7489571c, (q31_t)0xcb0de658, + (q31_t)0x745f9dd1, (q31_t)0xcab26fa9, (q31_t)0x74359cbd, (q31_t)0xca5719db, (q31_t)0x740b53fb, (q31_t)0xc9fbe527, (q31_t)0x73e0c3a3, (q31_t)0xc9a0d1c5, + (q31_t)0x73b5ebd1, (q31_t)0xc945dfec, (q31_t)0x738acc9e, (q31_t)0xc8eb0fd6, (q31_t)0x735f6626, (q31_t)0xc89061ba, (q31_t)0x7333b883, (q31_t)0xc835d5d0, + (q31_t)0x7307c3d0, (q31_t)0xc7db6c50, (q31_t)0x72db8828, (q31_t)0xc7812572, (q31_t)0x72af05a7, (q31_t)0xc727016d, (q31_t)0x72823c67, (q31_t)0xc6cd0079, + (q31_t)0x72552c85, (q31_t)0xc67322ce, (q31_t)0x7227d61c, (q31_t)0xc61968a2, (q31_t)0x71fa3949, (q31_t)0xc5bfd22e, (q31_t)0x71cc5626, (q31_t)0xc5665fa9, + (q31_t)0x719e2cd2, (q31_t)0xc50d1149, (q31_t)0x716fbd68, (q31_t)0xc4b3e746, (q31_t)0x71410805, (q31_t)0xc45ae1d7, (q31_t)0x71120cc5, (q31_t)0xc4020133, + (q31_t)0x70e2cbc6, (q31_t)0xc3a94590, (q31_t)0x70b34525, (q31_t)0xc350af26, (q31_t)0x708378ff, (q31_t)0xc2f83e2a, (q31_t)0x70536771, (q31_t)0xc29ff2d4, + (q31_t)0x7023109a, (q31_t)0xc247cd5a, (q31_t)0x6ff27497, (q31_t)0xc1efcdf3, (q31_t)0x6fc19385, (q31_t)0xc197f4d4, (q31_t)0x6f906d84, (q31_t)0xc1404233, + (q31_t)0x6f5f02b2, (q31_t)0xc0e8b648, (q31_t)0x6f2d532c, (q31_t)0xc0915148, (q31_t)0x6efb5f12, (q31_t)0xc03a1368, (q31_t)0x6ec92683, (q31_t)0xbfe2fcdf, + (q31_t)0x6e96a99d, (q31_t)0xbf8c0de3, (q31_t)0x6e63e87f, (q31_t)0xbf3546a8, (q31_t)0x6e30e34a, (q31_t)0xbedea765, (q31_t)0x6dfd9a1c, (q31_t)0xbe88304f, + (q31_t)0x6dca0d14, (q31_t)0xbe31e19b, (q31_t)0x6d963c54, (q31_t)0xbddbbb7f, (q31_t)0x6d6227fa, (q31_t)0xbd85be30, (q31_t)0x6d2dd027, (q31_t)0xbd2fe9e2, + (q31_t)0x6cf934fc, (q31_t)0xbcda3ecb, (q31_t)0x6cc45698, (q31_t)0xbc84bd1f, (q31_t)0x6c8f351c, (q31_t)0xbc2f6513, (q31_t)0x6c59d0a9, (q31_t)0xbbda36dd, + (q31_t)0x6c242960, (q31_t)0xbb8532b0, (q31_t)0x6bee3f62, (q31_t)0xbb3058c0, (q31_t)0x6bb812d1, (q31_t)0xbadba943, (q31_t)0x6b81a3cd, (q31_t)0xba87246d, + (q31_t)0x6b4af279, (q31_t)0xba32ca71, (q31_t)0x6b13fef5, (q31_t)0xb9de9b83, (q31_t)0x6adcc964, (q31_t)0xb98a97d8, (q31_t)0x6aa551e9, (q31_t)0xb936bfa4, + (q31_t)0x6a6d98a4, (q31_t)0xb8e31319, (q31_t)0x6a359db9, (q31_t)0xb88f926d, (q31_t)0x69fd614a, (q31_t)0xb83c3dd1, (q31_t)0x69c4e37a, (q31_t)0xb7e9157a, + (q31_t)0x698c246c, (q31_t)0xb796199b, (q31_t)0x69532442, (q31_t)0xb7434a67, (q31_t)0x6919e320, (q31_t)0xb6f0a812, (q31_t)0x68e06129, (q31_t)0xb69e32cd, + (q31_t)0x68a69e81, (q31_t)0xb64beacd, (q31_t)0x686c9b4b, (q31_t)0xb5f9d043, (q31_t)0x683257ab, (q31_t)0xb5a7e362, (q31_t)0x67f7d3c5, (q31_t)0xb556245e, + (q31_t)0x67bd0fbd, (q31_t)0xb5049368, (q31_t)0x67820bb7, (q31_t)0xb4b330b3, (q31_t)0x6746c7d8, (q31_t)0xb461fc70, (q31_t)0x670b4444, (q31_t)0xb410f6d3, + (q31_t)0x66cf8120, (q31_t)0xb3c0200c, (q31_t)0x66937e91, (q31_t)0xb36f784f, (q31_t)0x66573cbb, (q31_t)0xb31effcc, (q31_t)0x661abbc5, (q31_t)0xb2ceb6b5, + (q31_t)0x65ddfbd3, (q31_t)0xb27e9d3c, (q31_t)0x65a0fd0b, (q31_t)0xb22eb392, (q31_t)0x6563bf92, (q31_t)0xb1def9e9, (q31_t)0x6526438f, (q31_t)0xb18f7071, + (q31_t)0x64e88926, (q31_t)0xb140175b, (q31_t)0x64aa907f, (q31_t)0xb0f0eeda, (q31_t)0x646c59bf, (q31_t)0xb0a1f71d, (q31_t)0x642de50d, (q31_t)0xb0533055, + (q31_t)0x63ef3290, (q31_t)0xb0049ab3, (q31_t)0x63b0426d, (q31_t)0xafb63667, (q31_t)0x637114cc, (q31_t)0xaf6803a2, (q31_t)0x6331a9d4, (q31_t)0xaf1a0293, + (q31_t)0x62f201ac, (q31_t)0xaecc336c, (q31_t)0x62b21c7b, (q31_t)0xae7e965b, (q31_t)0x6271fa69, (q31_t)0xae312b92, (q31_t)0x62319b9d, (q31_t)0xade3f33e, + (q31_t)0x61f1003f, (q31_t)0xad96ed92, (q31_t)0x61b02876, (q31_t)0xad4a1aba, (q31_t)0x616f146c, (q31_t)0xacfd7ae8, (q31_t)0x612dc447, (q31_t)0xacb10e4b, + (q31_t)0x60ec3830, (q31_t)0xac64d510, (q31_t)0x60aa7050, (q31_t)0xac18cf69, (q31_t)0x60686ccf, (q31_t)0xabccfd83, (q31_t)0x60262dd6, (q31_t)0xab815f8d, + (q31_t)0x5fe3b38d, (q31_t)0xab35f5b5, (q31_t)0x5fa0fe1f, (q31_t)0xaaeac02c, (q31_t)0x5f5e0db3, (q31_t)0xaa9fbf1e, (q31_t)0x5f1ae274, (q31_t)0xaa54f2ba, + (q31_t)0x5ed77c8a, (q31_t)0xaa0a5b2e, (q31_t)0x5e93dc1f, (q31_t)0xa9bff8a8, (q31_t)0x5e50015d, (q31_t)0xa975cb57, (q31_t)0x5e0bec6e, (q31_t)0xa92bd367, + (q31_t)0x5dc79d7c, (q31_t)0xa8e21106, (q31_t)0x5d8314b1, (q31_t)0xa8988463, (q31_t)0x5d3e5237, (q31_t)0xa84f2daa, (q31_t)0x5cf95638, (q31_t)0xa8060d08, + (q31_t)0x5cb420e0, 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(q31_t)0x203e300d, (q31_t)0x8420a46c, (q31_t)0x1fdcdc1b, (q31_t)0x840777d0, (q31_t)0x1f7b7481, (q31_t)0x83ee97ad, + (q31_t)0x1f19f97b, (q31_t)0x83d60412, (q31_t)0x1eb86b46, (q31_t)0x83bdbd0e, (q31_t)0x1e56ca1e, (q31_t)0x83a5c2b0, (q31_t)0x1df5163f, (q31_t)0x838e1507, + (q31_t)0x1d934fe5, (q31_t)0x8376b422, (q31_t)0x1d31774d, (q31_t)0x835fa00f, (q31_t)0x1ccf8cb3, (q31_t)0x8348d8dc, (q31_t)0x1c6d9053, (q31_t)0x83325e97, + (q31_t)0x1c0b826a, (q31_t)0x831c314e, (q31_t)0x1ba96335, (q31_t)0x83065110, (q31_t)0x1b4732ef, (q31_t)0x82f0bde8, (q31_t)0x1ae4f1d6, (q31_t)0x82db77e5, + (q31_t)0x1a82a026, (q31_t)0x82c67f14, (q31_t)0x1a203e1b, (q31_t)0x82b1d381, (q31_t)0x19bdcbf3, (q31_t)0x829d753a, (q31_t)0x195b49ea, (q31_t)0x8289644b, + (q31_t)0x18f8b83c, (q31_t)0x8275a0c0, (q31_t)0x18961728, (q31_t)0x82622aa6, (q31_t)0x183366e9, (q31_t)0x824f0208, (q31_t)0x17d0a7bc, (q31_t)0x823c26f3, + (q31_t)0x176dd9de, (q31_t)0x82299971, (q31_t)0x170afd8d, (q31_t)0x82175990, (q31_t)0x16a81305, (q31_t)0x82056758, (q31_t)0x16451a83, (q31_t)0x81f3c2d7, + (q31_t)0x15e21445, (q31_t)0x81e26c16, (q31_t)0x157f0086, (q31_t)0x81d16321, (q31_t)0x151bdf86, (q31_t)0x81c0a801, (q31_t)0x14b8b17f, (q31_t)0x81b03ac2, + (q31_t)0x145576b1, (q31_t)0x81a01b6d, (q31_t)0x13f22f58, (q31_t)0x81904a0c, (q31_t)0x138edbb1, (q31_t)0x8180c6a9, (q31_t)0x132b7bf9, (q31_t)0x8171914e, + (q31_t)0x12c8106f, (q31_t)0x8162aa04, (q31_t)0x1264994e, (q31_t)0x815410d4, (q31_t)0x120116d5, (q31_t)0x8145c5c7, (q31_t)0x119d8941, (q31_t)0x8137c8e6, + (q31_t)0x1139f0cf, (q31_t)0x812a1a3a, (q31_t)0x10d64dbd, (q31_t)0x811cb9ca, (q31_t)0x1072a048, (q31_t)0x810fa7a0, (q31_t)0x100ee8ad, (q31_t)0x8102e3c4, + (q31_t)0xfab272b, (q31_t)0x80f66e3c, (q31_t)0xf475bff, (q31_t)0x80ea4712, (q31_t)0xee38766, (q31_t)0x80de6e4c, (q31_t)0xe7fa99e, (q31_t)0x80d2e3f2, + (q31_t)0xe1bc2e4, (q31_t)0x80c7a80a, (q31_t)0xdb7d376, (q31_t)0x80bcba9d, (q31_t)0xd53db92, (q31_t)0x80b21baf, (q31_t)0xcefdb76, (q31_t)0x80a7cb49, + (q31_t)0xc8bd35e, (q31_t)0x809dc971, (q31_t)0xc27c389, (q31_t)0x8094162c, (q31_t)0xbc3ac35, (q31_t)0x808ab180, (q31_t)0xb5f8d9f, (q31_t)0x80819b74, + (q31_t)0xafb6805, (q31_t)0x8078d40d, (q31_t)0xa973ba5, (q31_t)0x80705b50, (q31_t)0xa3308bd, (q31_t)0x80683143, (q31_t)0x9cecf89, (q31_t)0x806055eb, + (q31_t)0x96a9049, (q31_t)0x8058c94c, (q31_t)0x9064b3a, (q31_t)0x80518b6b, (q31_t)0x8a2009a, (q31_t)0x804a9c4d, (q31_t)0x83db0a7, (q31_t)0x8043fbf6, + (q31_t)0x7d95b9e, (q31_t)0x803daa6a, (q31_t)0x77501be, (q31_t)0x8037a7ac, (q31_t)0x710a345, (q31_t)0x8031f3c2, (q31_t)0x6ac406f, (q31_t)0x802c8ead, + (q31_t)0x647d97c, (q31_t)0x80277872, (q31_t)0x5e36ea9, (q31_t)0x8022b114, (q31_t)0x57f0035, (q31_t)0x801e3895, (q31_t)0x51a8e5c, (q31_t)0x801a0ef8, + (q31_t)0x4b6195d, (q31_t)0x80163440, (q31_t)0x451a177, (q31_t)0x8012a86f, (q31_t)0x3ed26e6, (q31_t)0x800f6b88, (q31_t)0x388a9ea, (q31_t)0x800c7d8c, + (q31_t)0x3242abf, (q31_t)0x8009de7e, (q31_t)0x2bfa9a4, (q31_t)0x80078e5e, (q31_t)0x25b26d7, (q31_t)0x80058d2f, (q31_t)0x1f6a297, (q31_t)0x8003daf1, + (q31_t)0x1921d20, (q31_t)0x800277a6, (q31_t)0x12d96b1, (q31_t)0x8001634e, (q31_t)0xc90f88, (q31_t)0x80009dea, (q31_t)0x6487e3, (q31_t)0x8000277a +}; + +static const q31_t WeightsQ31_2048[4096] = { + (q31_t)0x7fffffff, (q31_t)0x00000000, (q31_t)0x7ffffd88, (q31_t)0xffe6de05, (q31_t)0x7ffff621, (q31_t)0xffcdbc0b, (q31_t)0x7fffe9cb, (q31_t)0xffb49a12, + (q31_t)0x7fffd886, (q31_t)0xff9b781d, (q31_t)0x7fffc251, (q31_t)0xff82562c, (q31_t)0x7fffa72c, (q31_t)0xff69343f, (q31_t)0x7fff8719, (q31_t)0xff501258, + (q31_t)0x7fff6216, (q31_t)0xff36f078, (q31_t)0x7fff3824, (q31_t)0xff1dcea0, (q31_t)0x7fff0943, (q31_t)0xff04acd0, (q31_t)0x7ffed572, (q31_t)0xfeeb8b0a, + (q31_t)0x7ffe9cb2, (q31_t)0xfed2694f, (q31_t)0x7ffe5f03, (q31_t)0xfeb947a0, (q31_t)0x7ffe1c65, (q31_t)0xfea025fd, (q31_t)0x7ffdd4d7, (q31_t)0xfe870467, + (q31_t)0x7ffd885a, (q31_t)0xfe6de2e0, (q31_t)0x7ffd36ee, (q31_t)0xfe54c169, (q31_t)0x7ffce093, (q31_t)0xfe3ba002, (q31_t)0x7ffc8549, (q31_t)0xfe227eac, + (q31_t)0x7ffc250f, (q31_t)0xfe095d69, (q31_t)0x7ffbbfe6, (q31_t)0xfdf03c3a, (q31_t)0x7ffb55ce, (q31_t)0xfdd71b1e, (q31_t)0x7ffae6c7, (q31_t)0xfdbdfa18, + (q31_t)0x7ffa72d1, (q31_t)0xfda4d929, (q31_t)0x7ff9f9ec, (q31_t)0xfd8bb850, (q31_t)0x7ff97c18, (q31_t)0xfd729790, (q31_t)0x7ff8f954, (q31_t)0xfd5976e9, + (q31_t)0x7ff871a2, (q31_t)0xfd40565c, (q31_t)0x7ff7e500, (q31_t)0xfd2735ea, (q31_t)0x7ff75370, (q31_t)0xfd0e1594, (q31_t)0x7ff6bcf0, (q31_t)0xfcf4f55c, + (q31_t)0x7ff62182, (q31_t)0xfcdbd541, (q31_t)0x7ff58125, (q31_t)0xfcc2b545, (q31_t)0x7ff4dbd9, (q31_t)0xfca9956a, (q31_t)0x7ff4319d, (q31_t)0xfc9075af, + (q31_t)0x7ff38274, (q31_t)0xfc775616, (q31_t)0x7ff2ce5b, (q31_t)0xfc5e36a0, (q31_t)0x7ff21553, (q31_t)0xfc45174e, (q31_t)0x7ff1575d, (q31_t)0xfc2bf821, + (q31_t)0x7ff09478, (q31_t)0xfc12d91a, (q31_t)0x7fefcca4, (q31_t)0xfbf9ba39, (q31_t)0x7feeffe1, (q31_t)0xfbe09b80, (q31_t)0x7fee2e30, (q31_t)0xfbc77cf0, + (q31_t)0x7fed5791, (q31_t)0xfbae5e89, (q31_t)0x7fec7c02, (q31_t)0xfb95404d, (q31_t)0x7feb9b85, (q31_t)0xfb7c223d, (q31_t)0x7feab61a, (q31_t)0xfb630459, + (q31_t)0x7fe9cbc0, (q31_t)0xfb49e6a3, (q31_t)0x7fe8dc78, (q31_t)0xfb30c91b, (q31_t)0x7fe7e841, (q31_t)0xfb17abc2, (q31_t)0x7fe6ef1c, (q31_t)0xfafe8e9b, + (q31_t)0x7fe5f108, (q31_t)0xfae571a4, (q31_t)0x7fe4ee06, (q31_t)0xfacc54e0, (q31_t)0x7fe3e616, (q31_t)0xfab3384f, (q31_t)0x7fe2d938, (q31_t)0xfa9a1bf3, + (q31_t)0x7fe1c76b, (q31_t)0xfa80ffcb, (q31_t)0x7fe0b0b1, (q31_t)0xfa67e3da, (q31_t)0x7fdf9508, (q31_t)0xfa4ec821, (q31_t)0x7fde7471, (q31_t)0xfa35ac9f, + (q31_t)0x7fdd4eec, (q31_t)0xfa1c9157, (q31_t)0x7fdc247a, (q31_t)0xfa037648, (q31_t)0x7fdaf519, (q31_t)0xf9ea5b75, (q31_t)0x7fd9c0ca, (q31_t)0xf9d140de, + (q31_t)0x7fd8878e, (q31_t)0xf9b82684, (q31_t)0x7fd74964, (q31_t)0xf99f0c68, (q31_t)0x7fd6064c, (q31_t)0xf985f28a, (q31_t)0x7fd4be46, (q31_t)0xf96cd8ed, + (q31_t)0x7fd37153, (q31_t)0xf953bf91, (q31_t)0x7fd21f72, (q31_t)0xf93aa676, (q31_t)0x7fd0c8a3, (q31_t)0xf9218d9e, (q31_t)0x7fcf6ce8, (q31_t)0xf908750a, + (q31_t)0x7fce0c3e, (q31_t)0xf8ef5cbb, (q31_t)0x7fcca6a7, (q31_t)0xf8d644b2, (q31_t)0x7fcb3c23, (q31_t)0xf8bd2cef, (q31_t)0x7fc9ccb2, (q31_t)0xf8a41574, + (q31_t)0x7fc85854, (q31_t)0xf88afe42, (q31_t)0x7fc6df08, (q31_t)0xf871e759, (q31_t)0x7fc560cf, (q31_t)0xf858d0bb, (q31_t)0x7fc3dda9, (q31_t)0xf83fba68, + (q31_t)0x7fc25596, (q31_t)0xf826a462, (q31_t)0x7fc0c896, (q31_t)0xf80d8ea9, (q31_t)0x7fbf36aa, (q31_t)0xf7f4793e, (q31_t)0x7fbd9fd0, (q31_t)0xf7db6423, + (q31_t)0x7fbc040a, (q31_t)0xf7c24f59, (q31_t)0x7fba6357, (q31_t)0xf7a93ae0, (q31_t)0x7fb8bdb8, (q31_t)0xf79026b9, (q31_t)0x7fb7132b, (q31_t)0xf77712e5, + (q31_t)0x7fb563b3, (q31_t)0xf75dff66, (q31_t)0x7fb3af4e, (q31_t)0xf744ec3b, (q31_t)0x7fb1f5fc, (q31_t)0xf72bd967, (q31_t)0x7fb037bf, (q31_t)0xf712c6ea, + (q31_t)0x7fae7495, (q31_t)0xf6f9b4c6, (q31_t)0x7facac7f, (q31_t)0xf6e0a2fa, (q31_t)0x7faadf7c, (q31_t)0xf6c79188, (q31_t)0x7fa90d8e, (q31_t)0xf6ae8071, + (q31_t)0x7fa736b4, (q31_t)0xf6956fb7, (q31_t)0x7fa55aee, (q31_t)0xf67c5f59, (q31_t)0x7fa37a3c, (q31_t)0xf6634f59, (q31_t)0x7fa1949e, (q31_t)0xf64a3fb8, + (q31_t)0x7f9faa15, (q31_t)0xf6313077, (q31_t)0x7f9dbaa0, (q31_t)0xf6182196, (q31_t)0x7f9bc640, (q31_t)0xf5ff1318, (q31_t)0x7f99ccf4, (q31_t)0xf5e604fc, + (q31_t)0x7f97cebd, (q31_t)0xf5ccf743, (q31_t)0x7f95cb9a, (q31_t)0xf5b3e9f0, (q31_t)0x7f93c38c, (q31_t)0xf59add02, (q31_t)0x7f91b694, (q31_t)0xf581d07b, + (q31_t)0x7f8fa4b0, (q31_t)0xf568c45b, (q31_t)0x7f8d8de1, (q31_t)0xf54fb8a4, (q31_t)0x7f8b7227, (q31_t)0xf536ad56, (q31_t)0x7f895182, (q31_t)0xf51da273, + (q31_t)0x7f872bf3, (q31_t)0xf50497fb, (q31_t)0x7f850179, (q31_t)0xf4eb8def, (q31_t)0x7f82d214, (q31_t)0xf4d28451, (q31_t)0x7f809dc5, (q31_t)0xf4b97b21, + (q31_t)0x7f7e648c, (q31_t)0xf4a07261, (q31_t)0x7f7c2668, (q31_t)0xf4876a10, (q31_t)0x7f79e35a, (q31_t)0xf46e6231, (q31_t)0x7f779b62, (q31_t)0xf4555ac5, + (q31_t)0x7f754e80, (q31_t)0xf43c53cb, (q31_t)0x7f72fcb4, (q31_t)0xf4234d45, (q31_t)0x7f70a5fe, (q31_t)0xf40a4735, (q31_t)0x7f6e4a5e, (q31_t)0xf3f1419a, + (q31_t)0x7f6be9d4, (q31_t)0xf3d83c77, (q31_t)0x7f698461, (q31_t)0xf3bf37cb, (q31_t)0x7f671a05, (q31_t)0xf3a63398, (q31_t)0x7f64aabf, (q31_t)0xf38d2fe0, + (q31_t)0x7f62368f, (q31_t)0xf3742ca2, (q31_t)0x7f5fbd77, (q31_t)0xf35b29e0, (q31_t)0x7f5d3f75, (q31_t)0xf342279b, (q31_t)0x7f5abc8a, (q31_t)0xf32925d3, + (q31_t)0x7f5834b7, (q31_t)0xf310248a, (q31_t)0x7f55a7fa, (q31_t)0xf2f723c1, (q31_t)0x7f531655, (q31_t)0xf2de2379, (q31_t)0x7f507fc7, (q31_t)0xf2c523b2, + (q31_t)0x7f4de451, (q31_t)0xf2ac246e, (q31_t)0x7f4b43f2, (q31_t)0xf29325ad, (q31_t)0x7f489eaa, (q31_t)0xf27a2771, (q31_t)0x7f45f47b, (q31_t)0xf26129ba, + (q31_t)0x7f434563, (q31_t)0xf2482c8a, (q31_t)0x7f409164, (q31_t)0xf22f2fe1, (q31_t)0x7f3dd87c, (q31_t)0xf21633c0, (q31_t)0x7f3b1aad, (q31_t)0xf1fd3829, + (q31_t)0x7f3857f6, (q31_t)0xf1e43d1c, (q31_t)0x7f359057, (q31_t)0xf1cb429a, (q31_t)0x7f32c3d1, (q31_t)0xf1b248a5, (q31_t)0x7f2ff263, (q31_t)0xf1994f3d, + (q31_t)0x7f2d1c0e, (q31_t)0xf1805662, (q31_t)0x7f2a40d2, (q31_t)0xf1675e17, (q31_t)0x7f2760af, (q31_t)0xf14e665c, (q31_t)0x7f247ba5, (q31_t)0xf1356f32, + (q31_t)0x7f2191b4, (q31_t)0xf11c789a, (q31_t)0x7f1ea2dc, (q31_t)0xf1038295, (q31_t)0x7f1baf1e, (q31_t)0xf0ea8d24, (q31_t)0x7f18b679, (q31_t)0xf0d19848, + (q31_t)0x7f15b8ee, (q31_t)0xf0b8a401, (q31_t)0x7f12b67c, (q31_t)0xf09fb051, (q31_t)0x7f0faf25, (q31_t)0xf086bd39, (q31_t)0x7f0ca2e7, (q31_t)0xf06dcaba, + (q31_t)0x7f0991c4, (q31_t)0xf054d8d5, (q31_t)0x7f067bba, (q31_t)0xf03be78a, (q31_t)0x7f0360cb, (q31_t)0xf022f6da, (q31_t)0x7f0040f6, (q31_t)0xf00a06c8, + (q31_t)0x7efd1c3c, (q31_t)0xeff11753, (q31_t)0x7ef9f29d, (q31_t)0xefd8287c, (q31_t)0x7ef6c418, (q31_t)0xefbf3a45, (q31_t)0x7ef390ae, (q31_t)0xefa64cae, + (q31_t)0x7ef05860, (q31_t)0xef8d5fb8, (q31_t)0x7eed1b2c, (q31_t)0xef747365, (q31_t)0x7ee9d914, (q31_t)0xef5b87b5, (q31_t)0x7ee69217, (q31_t)0xef429caa, + (q31_t)0x7ee34636, (q31_t)0xef29b243, (q31_t)0x7edff570, (q31_t)0xef10c883, (q31_t)0x7edc9fc6, (q31_t)0xeef7df6a, (q31_t)0x7ed94538, (q31_t)0xeedef6f9, + (q31_t)0x7ed5e5c6, (q31_t)0xeec60f31, (q31_t)0x7ed28171, (q31_t)0xeead2813, (q31_t)0x7ecf1837, (q31_t)0xee9441a0, (q31_t)0x7ecbaa1a, (q31_t)0xee7b5bd9, + (q31_t)0x7ec8371a, (q31_t)0xee6276bf, (q31_t)0x7ec4bf36, (q31_t)0xee499253, (q31_t)0x7ec14270, (q31_t)0xee30ae96, (q31_t)0x7ebdc0c6, (q31_t)0xee17cb88, + (q31_t)0x7eba3a39, (q31_t)0xedfee92b, (q31_t)0x7eb6aeca, (q31_t)0xede60780, (q31_t)0x7eb31e78, (q31_t)0xedcd2687, (q31_t)0x7eaf8943, (q31_t)0xedb44642, + (q31_t)0x7eabef2c, (q31_t)0xed9b66b2, (q31_t)0x7ea85033, (q31_t)0xed8287d7, (q31_t)0x7ea4ac58, (q31_t)0xed69a9b3, (q31_t)0x7ea1039b, (q31_t)0xed50cc46, + (q31_t)0x7e9d55fc, (q31_t)0xed37ef91, (q31_t)0x7e99a37c, (q31_t)0xed1f1396, (q31_t)0x7e95ec1a, (q31_t)0xed063856, (q31_t)0x7e922fd6, (q31_t)0xeced5dd0, + (q31_t)0x7e8e6eb2, (q31_t)0xecd48407, (q31_t)0x7e8aa8ac, (q31_t)0xecbbaafb, (q31_t)0x7e86ddc6, (q31_t)0xeca2d2ad, (q31_t)0x7e830dff, (q31_t)0xec89fb1e, + (q31_t)0x7e7f3957, 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(q31_t)0x1acc5ef6, (q31_t)0x82d63274, (q31_t)0x1ab3cb0d, (q31_t)0x82d0f1d5, (q31_t)0x1a9b361d, (q31_t)0x82cbb60b, + (q31_t)0x1a82a026, (q31_t)0x82c67f14, (q31_t)0x1a6a0929, (q31_t)0x82c14cf1, (q31_t)0x1a517128, (q31_t)0x82bc1fa2, (q31_t)0x1a38d823, (q31_t)0x82b6f727, + (q31_t)0x1a203e1b, (q31_t)0x82b1d381, (q31_t)0x1a07a311, (q31_t)0x82acb4b0, (q31_t)0x19ef0707, (q31_t)0x82a79ab3, (q31_t)0x19d669fc, (q31_t)0x82a2858c, + (q31_t)0x19bdcbf3, (q31_t)0x829d753a, (q31_t)0x19a52ceb, (q31_t)0x829869be, (q31_t)0x198c8ce7, (q31_t)0x82936317, (q31_t)0x1973ebe6, (q31_t)0x828e6146, + (q31_t)0x195b49ea, (q31_t)0x8289644b, (q31_t)0x1942a6f3, (q31_t)0x82846c26, (q31_t)0x192a0304, (q31_t)0x827f78d8, (q31_t)0x19115e1c, (q31_t)0x827a8a61, + (q31_t)0x18f8b83c, (q31_t)0x8275a0c0, (q31_t)0x18e01167, (q31_t)0x8270bbf7, (q31_t)0x18c7699b, (q31_t)0x826bdc04, (q31_t)0x18aec0db, (q31_t)0x826700e9, + (q31_t)0x18961728, (q31_t)0x82622aa6, (q31_t)0x187d6c82, (q31_t)0x825d593a, (q31_t)0x1864c0ea, (q31_t)0x82588ca7, (q31_t)0x184c1461, (q31_t)0x8253c4eb, + (q31_t)0x183366e9, (q31_t)0x824f0208, (q31_t)0x181ab881, (q31_t)0x824a43fe, (q31_t)0x1802092c, (q31_t)0x82458acc, (q31_t)0x17e958ea, (q31_t)0x8240d673, + (q31_t)0x17d0a7bc, (q31_t)0x823c26f3, (q31_t)0x17b7f5a3, (q31_t)0x82377c4c, (q31_t)0x179f429f, (q31_t)0x8232d67f, (q31_t)0x17868eb3, (q31_t)0x822e358b, + (q31_t)0x176dd9de, (q31_t)0x82299971, (q31_t)0x17552422, (q31_t)0x82250232, (q31_t)0x173c6d80, (q31_t)0x82206fcc, (q31_t)0x1723b5f9, (q31_t)0x821be240, + (q31_t)0x170afd8d, (q31_t)0x82175990, (q31_t)0x16f2443e, (q31_t)0x8212d5b9, (q31_t)0x16d98a0c, (q31_t)0x820e56be, (q31_t)0x16c0cef9, (q31_t)0x8209dc9e, + (q31_t)0x16a81305, (q31_t)0x82056758, (q31_t)0x168f5632, (q31_t)0x8200f6ef, (q31_t)0x1676987f, (q31_t)0x81fc8b60, (q31_t)0x165dd9f0, (q31_t)0x81f824ae, + (q31_t)0x16451a83, (q31_t)0x81f3c2d7, (q31_t)0x162c5a3b, (q31_t)0x81ef65dc, (q31_t)0x16139918, (q31_t)0x81eb0dbe, (q31_t)0x15fad71b, (q31_t)0x81e6ba7c, + (q31_t)0x15e21445, (q31_t)0x81e26c16, (q31_t)0x15c95097, (q31_t)0x81de228d, (q31_t)0x15b08c12, (q31_t)0x81d9dde1, (q31_t)0x1597c6b7, (q31_t)0x81d59e13, + (q31_t)0x157f0086, (q31_t)0x81d16321, (q31_t)0x15663982, (q31_t)0x81cd2d0c, (q31_t)0x154d71aa, (q31_t)0x81c8fbd6, (q31_t)0x1534a901, (q31_t)0x81c4cf7d, + (q31_t)0x151bdf86, (q31_t)0x81c0a801, (q31_t)0x1503153a, (q31_t)0x81bc8564, (q31_t)0x14ea4a1f, (q31_t)0x81b867a5, (q31_t)0x14d17e36, (q31_t)0x81b44ec4, + (q31_t)0x14b8b17f, (q31_t)0x81b03ac2, (q31_t)0x149fe3fc, (q31_t)0x81ac2b9e, (q31_t)0x148715ae, (q31_t)0x81a82159, (q31_t)0x146e4694, (q31_t)0x81a41bf4, + (q31_t)0x145576b1, (q31_t)0x81a01b6d, (q31_t)0x143ca605, (q31_t)0x819c1fc5, (q31_t)0x1423d492, (q31_t)0x819828fd, (q31_t)0x140b0258, (q31_t)0x81943715, + (q31_t)0x13f22f58, (q31_t)0x81904a0c, (q31_t)0x13d95b93, (q31_t)0x818c61e3, (q31_t)0x13c0870a, (q31_t)0x81887e9a, (q31_t)0x13a7b1bf, (q31_t)0x8184a032, + (q31_t)0x138edbb1, (q31_t)0x8180c6a9, (q31_t)0x137604e2, (q31_t)0x817cf201, (q31_t)0x135d2d53, (q31_t)0x8179223a, (q31_t)0x13445505, (q31_t)0x81755754, + (q31_t)0x132b7bf9, (q31_t)0x8171914e, (q31_t)0x1312a230, (q31_t)0x816dd02a, (q31_t)0x12f9c7aa, (q31_t)0x816a13e6, (q31_t)0x12e0ec6a, (q31_t)0x81665c84, + (q31_t)0x12c8106f, (q31_t)0x8162aa04, (q31_t)0x12af33ba, (q31_t)0x815efc65, (q31_t)0x1296564d, (q31_t)0x815b53a8, (q31_t)0x127d7829, (q31_t)0x8157afcd, + (q31_t)0x1264994e, (q31_t)0x815410d4, (q31_t)0x124bb9be, (q31_t)0x815076bd, (q31_t)0x1232d979, (q31_t)0x814ce188, (q31_t)0x1219f880, (q31_t)0x81495136, + (q31_t)0x120116d5, (q31_t)0x8145c5c7, (q31_t)0x11e83478, (q31_t)0x81423f3a, (q31_t)0x11cf516a, (q31_t)0x813ebd90, (q31_t)0x11b66dad, (q31_t)0x813b40ca, + (q31_t)0x119d8941, (q31_t)0x8137c8e6, (q31_t)0x1184a427, (q31_t)0x813455e6, (q31_t)0x116bbe60, (q31_t)0x8130e7c9, (q31_t)0x1152d7ed, (q31_t)0x812d7e8f, + (q31_t)0x1139f0cf, (q31_t)0x812a1a3a, (q31_t)0x11210907, (q31_t)0x8126bac8, (q31_t)0x11082096, (q31_t)0x8123603a, (q31_t)0x10ef377d, (q31_t)0x81200a90, + (q31_t)0x10d64dbd, (q31_t)0x811cb9ca, (q31_t)0x10bd6356, (q31_t)0x81196de9, (q31_t)0x10a4784b, (q31_t)0x811626ec, (q31_t)0x108b8c9b, (q31_t)0x8112e4d4, + (q31_t)0x1072a048, (q31_t)0x810fa7a0, (q31_t)0x1059b352, (q31_t)0x810c6f52, (q31_t)0x1040c5bb, (q31_t)0x81093be8, (q31_t)0x1027d784, (q31_t)0x81060d63, + (q31_t)0x100ee8ad, (q31_t)0x8102e3c4, (q31_t)0xff5f938, (q31_t)0x80ffbf0a, (q31_t)0xfdd0926, (q31_t)0x80fc9f35, (q31_t)0xfc41876, (q31_t)0x80f98446, + (q31_t)0xfab272b, (q31_t)0x80f66e3c, (q31_t)0xf923546, (q31_t)0x80f35d19, (q31_t)0xf7942c7, (q31_t)0x80f050db, (q31_t)0xf604faf, (q31_t)0x80ed4984, + (q31_t)0xf475bff, (q31_t)0x80ea4712, (q31_t)0xf2e67b8, (q31_t)0x80e74987, (q31_t)0xf1572dc, (q31_t)0x80e450e2, (q31_t)0xefc7d6b, (q31_t)0x80e15d24, + (q31_t)0xee38766, (q31_t)0x80de6e4c, (q31_t)0xeca90ce, (q31_t)0x80db845b, (q31_t)0xeb199a4, (q31_t)0x80d89f51, (q31_t)0xe98a1e9, (q31_t)0x80d5bf2e, + (q31_t)0xe7fa99e, (q31_t)0x80d2e3f2, (q31_t)0xe66b0c3, (q31_t)0x80d00d9d, (q31_t)0xe4db75b, (q31_t)0x80cd3c2f, (q31_t)0xe34bd66, (q31_t)0x80ca6fa9, + (q31_t)0xe1bc2e4, (q31_t)0x80c7a80a, (q31_t)0xe02c7d7, (q31_t)0x80c4e553, (q31_t)0xde9cc40, (q31_t)0x80c22784, (q31_t)0xdd0d01f, (q31_t)0x80bf6e9c, + (q31_t)0xdb7d376, (q31_t)0x80bcba9d, (q31_t)0xd9ed646, (q31_t)0x80ba0b85, (q31_t)0xd85d88f, (q31_t)0x80b76156, (q31_t)0xd6cda53, (q31_t)0x80b4bc0e, + (q31_t)0xd53db92, (q31_t)0x80b21baf, (q31_t)0xd3adc4e, (q31_t)0x80af8039, (q31_t)0xd21dc87, (q31_t)0x80ace9ab, (q31_t)0xd08dc3f, (q31_t)0x80aa5806, + (q31_t)0xcefdb76, (q31_t)0x80a7cb49, (q31_t)0xcd6da2d, (q31_t)0x80a54376, (q31_t)0xcbdd865, (q31_t)0x80a2c08b, (q31_t)0xca4d620, (q31_t)0x80a04289, + (q31_t)0xc8bd35e, (q31_t)0x809dc971, (q31_t)0xc72d020, (q31_t)0x809b5541, (q31_t)0xc59cc68, (q31_t)0x8098e5fb, (q31_t)0xc40c835, (q31_t)0x80967b9f, + (q31_t)0xc27c389, (q31_t)0x8094162c, (q31_t)0xc0ebe66, (q31_t)0x8091b5a2, (q31_t)0xbf5b8cb, (q31_t)0x808f5a02, (q31_t)0xbdcb2bb, (q31_t)0x808d034c, + (q31_t)0xbc3ac35, (q31_t)0x808ab180, (q31_t)0xbaaa53b, (q31_t)0x8088649e, (q31_t)0xb919dcf, (q31_t)0x80861ca6, (q31_t)0xb7895f0, (q31_t)0x8083d998, + (q31_t)0xb5f8d9f, (q31_t)0x80819b74, (q31_t)0xb4684df, (q31_t)0x807f623b, (q31_t)0xb2d7baf, (q31_t)0x807d2dec, (q31_t)0xb147211, (q31_t)0x807afe87, + (q31_t)0xafb6805, (q31_t)0x8078d40d, (q31_t)0xae25d8d, (q31_t)0x8076ae7e, (q31_t)0xac952aa, (q31_t)0x80748dd9, (q31_t)0xab0475c, (q31_t)0x8072721f, + (q31_t)0xa973ba5, (q31_t)0x80705b50, (q31_t)0xa7e2f85, (q31_t)0x806e496c, (q31_t)0xa6522fe, (q31_t)0x806c3c74, (q31_t)0xa4c1610, (q31_t)0x806a3466, + (q31_t)0xa3308bd, (q31_t)0x80683143, (q31_t)0xa19fb04, (q31_t)0x8066330c, (q31_t)0xa00ece8, (q31_t)0x806439c0, (q31_t)0x9e7de6a, (q31_t)0x80624560, + (q31_t)0x9cecf89, (q31_t)0x806055eb, (q31_t)0x9b5c048, (q31_t)0x805e6b62, (q31_t)0x99cb0a7, (q31_t)0x805c85c4, (q31_t)0x983a0a7, (q31_t)0x805aa512, + (q31_t)0x96a9049, (q31_t)0x8058c94c, (q31_t)0x9517f8f, (q31_t)0x8056f272, (q31_t)0x9386e78, (q31_t)0x80552084, (q31_t)0x91f5d06, (q31_t)0x80535381, + (q31_t)0x9064b3a, (q31_t)0x80518b6b, (q31_t)0x8ed3916, (q31_t)0x804fc841, (q31_t)0x8d42699, (q31_t)0x804e0a04, (q31_t)0x8bb13c5, (q31_t)0x804c50b2, + (q31_t)0x8a2009a, (q31_t)0x804a9c4d, (q31_t)0x888ed1b, (q31_t)0x8048ecd5, (q31_t)0x86fd947, (q31_t)0x80474248, (q31_t)0x856c520, (q31_t)0x80459ca9, + (q31_t)0x83db0a7, (q31_t)0x8043fbf6, (q31_t)0x8249bdd, (q31_t)0x80426030, (q31_t)0x80b86c2, (q31_t)0x8040c956, (q31_t)0x7f27157, (q31_t)0x803f376a, + (q31_t)0x7d95b9e, (q31_t)0x803daa6a, (q31_t)0x7c04598, (q31_t)0x803c2257, (q31_t)0x7a72f45, (q31_t)0x803a9f31, (q31_t)0x78e18a7, (q31_t)0x803920f8, + (q31_t)0x77501be, (q31_t)0x8037a7ac, (q31_t)0x75bea8c, (q31_t)0x8036334e, (q31_t)0x742d311, (q31_t)0x8034c3dd, (q31_t)0x729bb4e, (q31_t)0x80335959, + (q31_t)0x710a345, (q31_t)0x8031f3c2, (q31_t)0x6f78af6, (q31_t)0x80309318, (q31_t)0x6de7262, (q31_t)0x802f375d, (q31_t)0x6c5598a, (q31_t)0x802de08e, + (q31_t)0x6ac406f, (q31_t)0x802c8ead, (q31_t)0x6932713, (q31_t)0x802b41ba, (q31_t)0x67a0d76, (q31_t)0x8029f9b4, (q31_t)0x660f398, (q31_t)0x8028b69c, + (q31_t)0x647d97c, (q31_t)0x80277872, (q31_t)0x62ebf22, (q31_t)0x80263f36, (q31_t)0x615a48b, (q31_t)0x80250ae7, (q31_t)0x5fc89b8, (q31_t)0x8023db86, + (q31_t)0x5e36ea9, (q31_t)0x8022b114, (q31_t)0x5ca5361, (q31_t)0x80218b8f, (q31_t)0x5b137df, (q31_t)0x80206af8, (q31_t)0x5981c26, (q31_t)0x801f4f4f, + (q31_t)0x57f0035, (q31_t)0x801e3895, (q31_t)0x565e40d, (q31_t)0x801d26c8, (q31_t)0x54cc7b1, (q31_t)0x801c19ea, (q31_t)0x533ab20, (q31_t)0x801b11fa, + (q31_t)0x51a8e5c, (q31_t)0x801a0ef8, (q31_t)0x5017165, (q31_t)0x801910e4, (q31_t)0x4e8543e, (q31_t)0x801817bf, (q31_t)0x4cf36e5, (q31_t)0x80172388, + (q31_t)0x4b6195d, (q31_t)0x80163440, (q31_t)0x49cfba7, (q31_t)0x801549e6, (q31_t)0x483ddc3, (q31_t)0x8014647b, (q31_t)0x46abfb3, (q31_t)0x801383fe, + (q31_t)0x451a177, (q31_t)0x8012a86f, (q31_t)0x4388310, (q31_t)0x8011d1d0, (q31_t)0x41f6480, (q31_t)0x8011001f, (q31_t)0x40645c7, (q31_t)0x8010335c, + (q31_t)0x3ed26e6, (q31_t)0x800f6b88, (q31_t)0x3d407df, (q31_t)0x800ea8a3, (q31_t)0x3bae8b2, (q31_t)0x800deaad, (q31_t)0x3a1c960, (q31_t)0x800d31a5, + (q31_t)0x388a9ea, (q31_t)0x800c7d8c, (q31_t)0x36f8a51, (q31_t)0x800bce63, (q31_t)0x3566a96, (q31_t)0x800b2427, (q31_t)0x33d4abb, (q31_t)0x800a7edb, + (q31_t)0x3242abf, (q31_t)0x8009de7e, (q31_t)0x30b0aa4, (q31_t)0x80094310, (q31_t)0x2f1ea6c, (q31_t)0x8008ac90, (q31_t)0x2d8ca16, (q31_t)0x80081b00, + (q31_t)0x2bfa9a4, (q31_t)0x80078e5e, (q31_t)0x2a68917, (q31_t)0x800706ac, (q31_t)0x28d6870, (q31_t)0x800683e8, (q31_t)0x27447b0, (q31_t)0x80060614, + (q31_t)0x25b26d7, (q31_t)0x80058d2f, (q31_t)0x24205e8, (q31_t)0x80051939, (q31_t)0x228e4e2, (q31_t)0x8004aa32, (q31_t)0x20fc3c6, (q31_t)0x8004401a, + (q31_t)0x1f6a297, (q31_t)0x8003daf1, (q31_t)0x1dd8154, (q31_t)0x80037ab7, (q31_t)0x1c45ffe, (q31_t)0x80031f6d, (q31_t)0x1ab3e97, (q31_t)0x8002c912, + (q31_t)0x1921d20, (q31_t)0x800277a6, (q31_t)0x178fb99, (q31_t)0x80022b29, (q31_t)0x15fda03, (q31_t)0x8001e39b, (q31_t)0x146b860, (q31_t)0x8001a0fd, + (q31_t)0x12d96b1, (q31_t)0x8001634e, (q31_t)0x11474f6, (q31_t)0x80012a8e, (q31_t)0xfb5330, (q31_t)0x8000f6bd, (q31_t)0xe23160, (q31_t)0x8000c7dc, + (q31_t)0xc90f88, (q31_t)0x80009dea, (q31_t)0xafeda8, (q31_t)0x800078e7, (q31_t)0x96cbc1, (q31_t)0x800058d4, (q31_t)0x7da9d4, (q31_t)0x80003daf, + (q31_t)0x6487e3, (q31_t)0x8000277a, (q31_t)0x4b65ee, (q31_t)0x80001635, (q31_t)0x3243f5, (q31_t)0x800009df, (q31_t)0x1921fb, (q31_t)0x80000278 +}; + +static const q31_t WeightsQ31_8192[16384] = { + (q31_t)0x7fffffff, (q31_t)0x0, (q31_t)0x7fffffd9, (q31_t)0xfff9b781, (q31_t)0x7fffff62, (q31_t)0xfff36f02, (q31_t)0x7ffffe9d, + (q31_t)0xffed2684, + (q31_t)0x7ffffd88, (q31_t)0xffe6de05, (q31_t)0x7ffffc25, (q31_t)0xffe09586, (q31_t)0x7ffffa73, (q31_t)0xffda4d08, + (q31_t)0x7ffff872, (q31_t)0xffd40489, + (q31_t)0x7ffff621, (q31_t)0xffcdbc0b, (q31_t)0x7ffff382, (q31_t)0xffc7738c, (q31_t)0x7ffff094, (q31_t)0xffc12b0e, + (q31_t)0x7fffed57, (q31_t)0xffbae290, + (q31_t)0x7fffe9cb, (q31_t)0xffb49a12, (q31_t)0x7fffe5f0, (q31_t)0xffae5195, (q31_t)0x7fffe1c6, (q31_t)0xffa80917, + (q31_t)0x7fffdd4d, (q31_t)0xffa1c09a, + (q31_t)0x7fffd886, (q31_t)0xff9b781d, (q31_t)0x7fffd36f, (q31_t)0xff952fa0, (q31_t)0x7fffce09, (q31_t)0xff8ee724, + (q31_t)0x7fffc854, (q31_t)0xff889ea7, + (q31_t)0x7fffc251, (q31_t)0xff82562c, (q31_t)0x7fffbbfe, (q31_t)0xff7c0db0, (q31_t)0x7fffb55c, (q31_t)0xff75c535, + (q31_t)0x7fffae6c, (q31_t)0xff6f7cba, + (q31_t)0x7fffa72c, (q31_t)0xff69343f, (q31_t)0x7fff9f9e, (q31_t)0xff62ebc5, (q31_t)0x7fff97c1, (q31_t)0xff5ca34b, + (q31_t)0x7fff8f94, (q31_t)0xff565ad1, + (q31_t)0x7fff8719, (q31_t)0xff501258, (q31_t)0x7fff7e4f, (q31_t)0xff49c9df, (q31_t)0x7fff7536, (q31_t)0xff438167, + (q31_t)0x7fff6bcd, (q31_t)0xff3d38ef, + (q31_t)0x7fff6216, (q31_t)0xff36f078, (q31_t)0x7fff5810, (q31_t)0xff30a801, (q31_t)0x7fff4dbb, (q31_t)0xff2a5f8b, + (q31_t)0x7fff4317, (q31_t)0xff241715, + (q31_t)0x7fff3824, (q31_t)0xff1dcea0, (q31_t)0x7fff2ce2, (q31_t)0xff17862b, (q31_t)0x7fff2151, (q31_t)0xff113db7, + (q31_t)0x7fff1572, (q31_t)0xff0af543, + (q31_t)0x7fff0943, (q31_t)0xff04acd0, (q31_t)0x7ffefcc5, (q31_t)0xfefe645e, (q31_t)0x7ffeeff8, (q31_t)0xfef81bec, + (q31_t)0x7ffee2dd, (q31_t)0xfef1d37b, + (q31_t)0x7ffed572, (q31_t)0xfeeb8b0a, (q31_t)0x7ffec7b9, (q31_t)0xfee5429a, (q31_t)0x7ffeb9b0, (q31_t)0xfedefa2b, + (q31_t)0x7ffeab59, (q31_t)0xfed8b1bd, + (q31_t)0x7ffe9cb2, (q31_t)0xfed2694f, (q31_t)0x7ffe8dbd, (q31_t)0xfecc20e2, (q31_t)0x7ffe7e79, (q31_t)0xfec5d876, + (q31_t)0x7ffe6ee5, (q31_t)0xfebf900a, + (q31_t)0x7ffe5f03, (q31_t)0xfeb947a0, (q31_t)0x7ffe4ed2, (q31_t)0xfeb2ff36, (q31_t)0x7ffe3e52, (q31_t)0xfeacb6cc, + (q31_t)0x7ffe2d83, (q31_t)0xfea66e64, + (q31_t)0x7ffe1c65, (q31_t)0xfea025fd, (q31_t)0x7ffe0af8, (q31_t)0xfe99dd96, (q31_t)0x7ffdf93c, (q31_t)0xfe939530, + (q31_t)0x7ffde731, (q31_t)0xfe8d4ccb, + (q31_t)0x7ffdd4d7, (q31_t)0xfe870467, (q31_t)0x7ffdc22e, (q31_t)0xfe80bc04, (q31_t)0x7ffdaf37, (q31_t)0xfe7a73a2, + (q31_t)0x7ffd9bf0, (q31_t)0xfe742b41, + (q31_t)0x7ffd885a, (q31_t)0xfe6de2e0, (q31_t)0x7ffd7476, (q31_t)0xfe679a81, (q31_t)0x7ffd6042, (q31_t)0xfe615223, + (q31_t)0x7ffd4bc0, (q31_t)0xfe5b09c5, + (q31_t)0x7ffd36ee, (q31_t)0xfe54c169, (q31_t)0x7ffd21ce, (q31_t)0xfe4e790d, (q31_t)0x7ffd0c5f, (q31_t)0xfe4830b3, + (q31_t)0x7ffcf6a0, (q31_t)0xfe41e85a, + (q31_t)0x7ffce093, (q31_t)0xfe3ba002, (q31_t)0x7ffcca37, (q31_t)0xfe3557ab, (q31_t)0x7ffcb38c, (q31_t)0xfe2f0f55, + (q31_t)0x7ffc9c92, (q31_t)0xfe28c700, + (q31_t)0x7ffc8549, (q31_t)0xfe227eac, (q31_t)0x7ffc6db1, (q31_t)0xfe1c365a, (q31_t)0x7ffc55ca, (q31_t)0xfe15ee09, + (q31_t)0x7ffc3d94, (q31_t)0xfe0fa5b8, + (q31_t)0x7ffc250f, (q31_t)0xfe095d69, (q31_t)0x7ffc0c3b, (q31_t)0xfe03151c, (q31_t)0x7ffbf319, (q31_t)0xfdfccccf, + (q31_t)0x7ffbd9a7, (q31_t)0xfdf68484, + (q31_t)0x7ffbbfe6, (q31_t)0xfdf03c3a, (q31_t)0x7ffba5d7, (q31_t)0xfde9f3f1, (q31_t)0x7ffb8b78, (q31_t)0xfde3aba9, + (q31_t)0x7ffb70cb, (q31_t)0xfddd6363, + (q31_t)0x7ffb55ce, (q31_t)0xfdd71b1e, (q31_t)0x7ffb3a83, (q31_t)0xfdd0d2db, (q31_t)0x7ffb1ee9, (q31_t)0xfdca8a99, + (q31_t)0x7ffb0300, (q31_t)0xfdc44258, + (q31_t)0x7ffae6c7, (q31_t)0xfdbdfa18, (q31_t)0x7ffaca40, (q31_t)0xfdb7b1da, (q31_t)0x7ffaad6a, (q31_t)0xfdb1699e, + (q31_t)0x7ffa9045, (q31_t)0xfdab2162, + (q31_t)0x7ffa72d1, (q31_t)0xfda4d929, (q31_t)0x7ffa550e, (q31_t)0xfd9e90f0, (q31_t)0x7ffa36fc, (q31_t)0xfd9848b9, + (q31_t)0x7ffa189c, (q31_t)0xfd920084, + (q31_t)0x7ff9f9ec, (q31_t)0xfd8bb850, (q31_t)0x7ff9daed, (q31_t)0xfd85701e, (q31_t)0x7ff9bba0, (q31_t)0xfd7f27ed, + (q31_t)0x7ff99c03, (q31_t)0xfd78dfbd, + (q31_t)0x7ff97c18, (q31_t)0xfd729790, (q31_t)0x7ff95bdd, (q31_t)0xfd6c4f64, (q31_t)0x7ff93b54, (q31_t)0xfd660739, + (q31_t)0x7ff91a7b, (q31_t)0xfd5fbf10, + (q31_t)0x7ff8f954, (q31_t)0xfd5976e9, (q31_t)0x7ff8d7de, (q31_t)0xfd532ec3, (q31_t)0x7ff8b619, (q31_t)0xfd4ce69f, + (q31_t)0x7ff89405, (q31_t)0xfd469e7c, + (q31_t)0x7ff871a2, (q31_t)0xfd40565c, (q31_t)0x7ff84ef0, (q31_t)0xfd3a0e3d, (q31_t)0x7ff82bef, (q31_t)0xfd33c61f, + (q31_t)0x7ff8089f, (q31_t)0xfd2d7e04, + (q31_t)0x7ff7e500, (q31_t)0xfd2735ea, (q31_t)0x7ff7c113, (q31_t)0xfd20edd2, (q31_t)0x7ff79cd6, (q31_t)0xfd1aa5bc, + (q31_t)0x7ff7784a, (q31_t)0xfd145da7, + (q31_t)0x7ff75370, (q31_t)0xfd0e1594, (q31_t)0x7ff72e46, (q31_t)0xfd07cd83, (q31_t)0x7ff708ce, (q31_t)0xfd018574, + (q31_t)0x7ff6e307, (q31_t)0xfcfb3d67, + (q31_t)0x7ff6bcf0, (q31_t)0xfcf4f55c, (q31_t)0x7ff6968b, (q31_t)0xfceead52, (q31_t)0x7ff66fd7, (q31_t)0xfce8654b, + (q31_t)0x7ff648d4, (q31_t)0xfce21d45, + (q31_t)0x7ff62182, (q31_t)0xfcdbd541, (q31_t)0x7ff5f9e1, (q31_t)0xfcd58d3f, (q31_t)0x7ff5d1f1, (q31_t)0xfccf453f, + (q31_t)0x7ff5a9b2, (q31_t)0xfcc8fd41, + (q31_t)0x7ff58125, (q31_t)0xfcc2b545, (q31_t)0x7ff55848, (q31_t)0xfcbc6d4c, (q31_t)0x7ff52f1d, (q31_t)0xfcb62554, + (q31_t)0x7ff505a2, (q31_t)0xfcafdd5e, + (q31_t)0x7ff4dbd9, (q31_t)0xfca9956a, (q31_t)0x7ff4b1c0, (q31_t)0xfca34d78, (q31_t)0x7ff48759, (q31_t)0xfc9d0588, + (q31_t)0x7ff45ca3, (q31_t)0xfc96bd9b, + (q31_t)0x7ff4319d, (q31_t)0xfc9075af, (q31_t)0x7ff40649, (q31_t)0xfc8a2dc6, (q31_t)0x7ff3daa6, (q31_t)0xfc83e5de, + (q31_t)0x7ff3aeb4, (q31_t)0xfc7d9df9, + (q31_t)0x7ff38274, (q31_t)0xfc775616, (q31_t)0x7ff355e4, (q31_t)0xfc710e36, (q31_t)0x7ff32905, (q31_t)0xfc6ac657, + (q31_t)0x7ff2fbd7, (q31_t)0xfc647e7b, + (q31_t)0x7ff2ce5b, (q31_t)0xfc5e36a0, (q31_t)0x7ff2a08f, (q31_t)0xfc57eec9, (q31_t)0x7ff27275, (q31_t)0xfc51a6f3, + (q31_t)0x7ff2440b, (q31_t)0xfc4b5f20, + (q31_t)0x7ff21553, (q31_t)0xfc45174e, (q31_t)0x7ff1e64c, (q31_t)0xfc3ecf80, (q31_t)0x7ff1b6f6, (q31_t)0xfc3887b3, + (q31_t)0x7ff18751, (q31_t)0xfc323fe9, + (q31_t)0x7ff1575d, (q31_t)0xfc2bf821, (q31_t)0x7ff1271a, (q31_t)0xfc25b05c, (q31_t)0x7ff0f688, (q31_t)0xfc1f6899, + (q31_t)0x7ff0c5a7, (q31_t)0xfc1920d8, + (q31_t)0x7ff09478, (q31_t)0xfc12d91a, (q31_t)0x7ff062f9, (q31_t)0xfc0c915e, (q31_t)0x7ff0312c, (q31_t)0xfc0649a5, + (q31_t)0x7fefff0f, (q31_t)0xfc0001ee, + (q31_t)0x7fefcca4, (q31_t)0xfbf9ba39, (q31_t)0x7fef99ea, (q31_t)0xfbf37287, (q31_t)0x7fef66e1, (q31_t)0xfbed2ad8, + (q31_t)0x7fef3388, (q31_t)0xfbe6e32b, + (q31_t)0x7feeffe1, (q31_t)0xfbe09b80, (q31_t)0x7feecbec, (q31_t)0xfbda53d8, (q31_t)0x7fee97a7, (q31_t)0xfbd40c33, + (q31_t)0x7fee6313, (q31_t)0xfbcdc490, + (q31_t)0x7fee2e30, (q31_t)0xfbc77cf0, (q31_t)0x7fedf8ff, (q31_t)0xfbc13552, (q31_t)0x7fedc37e, (q31_t)0xfbbaedb7, + (q31_t)0x7fed8daf, (q31_t)0xfbb4a61f, + (q31_t)0x7fed5791, (q31_t)0xfbae5e89, (q31_t)0x7fed2123, (q31_t)0xfba816f6, (q31_t)0x7fecea67, (q31_t)0xfba1cf66, + (q31_t)0x7fecb35c, (q31_t)0xfb9b87d8, + (q31_t)0x7fec7c02, (q31_t)0xfb95404d, (q31_t)0x7fec4459, (q31_t)0xfb8ef8c5, (q31_t)0x7fec0c62, (q31_t)0xfb88b13f, + (q31_t)0x7febd41b, (q31_t)0xfb8269bd, + (q31_t)0x7feb9b85, (q31_t)0xfb7c223d, (q31_t)0x7feb62a1, (q31_t)0xfb75dac0, (q31_t)0x7feb296d, (q31_t)0xfb6f9345, + (q31_t)0x7feaefeb, (q31_t)0xfb694bce, + (q31_t)0x7feab61a, (q31_t)0xfb630459, (q31_t)0x7fea7bfa, (q31_t)0xfb5cbce7, (q31_t)0x7fea418b, 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(q31_t)0x801c19ea, (q31_t)0x5468092, (q31_t)0x801bd777, (q31_t)0x540396f, (q31_t)0x801b9554, + (q31_t)0x539f249, (q31_t)0x801b537f, + (q31_t)0x533ab20, (q31_t)0x801b11fa, (q31_t)0x52d63f4, (q31_t)0x801ad0c3, (q31_t)0x5271cc4, (q31_t)0x801a8fdb, + (q31_t)0x520d592, (q31_t)0x801a4f42, + (q31_t)0x51a8e5c, (q31_t)0x801a0ef8, (q31_t)0x5144723, (q31_t)0x8019cefd, (q31_t)0x50dffe7, (q31_t)0x80198f50, + (q31_t)0x507b8a8, (q31_t)0x80194ff3, + (q31_t)0x5017165, (q31_t)0x801910e4, (q31_t)0x4fb2a20, (q31_t)0x8018d225, (q31_t)0x4f4e2d8, (q31_t)0x801893b4, + (q31_t)0x4ee9b8c, (q31_t)0x80185592, + (q31_t)0x4e8543e, (q31_t)0x801817bf, (q31_t)0x4e20cec, (q31_t)0x8017da3b, (q31_t)0x4dbc597, (q31_t)0x80179d06, + (q31_t)0x4d57e40, (q31_t)0x80176020, + (q31_t)0x4cf36e5, (q31_t)0x80172388, (q31_t)0x4c8ef88, (q31_t)0x8016e740, (q31_t)0x4c2a827, (q31_t)0x8016ab46, + (q31_t)0x4bc60c4, (q31_t)0x80166f9c, + (q31_t)0x4b6195d, (q31_t)0x80163440, (q31_t)0x4afd1f4, (q31_t)0x8015f933, (q31_t)0x4a98a88, (q31_t)0x8015be75, + (q31_t)0x4a34319, (q31_t)0x80158406, + (q31_t)0x49cfba7, (q31_t)0x801549e6, (q31_t)0x496b432, (q31_t)0x80151015, (q31_t)0x4906cbb, (q31_t)0x8014d693, + (q31_t)0x48a2540, (q31_t)0x80149d5f, + (q31_t)0x483ddc3, (q31_t)0x8014647b, (q31_t)0x47d9643, (q31_t)0x80142be5, (q31_t)0x4774ec1, (q31_t)0x8013f39e, + (q31_t)0x471073b, (q31_t)0x8013bba7, + (q31_t)0x46abfb3, (q31_t)0x801383fe, (q31_t)0x4647828, (q31_t)0x80134ca4, (q31_t)0x45e309a, (q31_t)0x80131599, + (q31_t)0x457e90a, (q31_t)0x8012dedd, + (q31_t)0x451a177, (q31_t)0x8012a86f, (q31_t)0x44b59e1, (q31_t)0x80127251, (q31_t)0x4451249, (q31_t)0x80123c82, + (q31_t)0x43ecaae, (q31_t)0x80120701, + (q31_t)0x4388310, (q31_t)0x8011d1d0, (q31_t)0x4323b70, (q31_t)0x80119ced, (q31_t)0x42bf3cd, (q31_t)0x80116859, + (q31_t)0x425ac28, (q31_t)0x80113414, + (q31_t)0x41f6480, (q31_t)0x8011001f, (q31_t)0x4191cd5, (q31_t)0x8010cc78, (q31_t)0x412d528, (q31_t)0x8010991f, + (q31_t)0x40c8d79, (q31_t)0x80106616, + (q31_t)0x40645c7, (q31_t)0x8010335c, (q31_t)0x3fffe12, (q31_t)0x801000f1, (q31_t)0x3f9b65b, (q31_t)0x800fced4, + (q31_t)0x3f36ea2, (q31_t)0x800f9d07, + (q31_t)0x3ed26e6, (q31_t)0x800f6b88, (q31_t)0x3e6df28, (q31_t)0x800f3a59, (q31_t)0x3e09767, (q31_t)0x800f0978, + (q31_t)0x3da4fa4, (q31_t)0x800ed8e6, + (q31_t)0x3d407df, (q31_t)0x800ea8a3, (q31_t)0x3cdc017, (q31_t)0x800e78af, (q31_t)0x3c7784d, (q31_t)0x800e490a, + (q31_t)0x3c13080, (q31_t)0x800e19b4, + (q31_t)0x3bae8b2, (q31_t)0x800deaad, (q31_t)0x3b4a0e0, (q31_t)0x800dbbf5, (q31_t)0x3ae590d, (q31_t)0x800d8d8b, + (q31_t)0x3a81137, (q31_t)0x800d5f71, + (q31_t)0x3a1c960, (q31_t)0x800d31a5, (q31_t)0x39b8185, (q31_t)0x800d0429, (q31_t)0x39539a9, (q31_t)0x800cd6fb, + (q31_t)0x38ef1ca, (q31_t)0x800caa1c, + (q31_t)0x388a9ea, (q31_t)0x800c7d8c, (q31_t)0x3826207, (q31_t)0x800c514c, (q31_t)0x37c1a22, (q31_t)0x800c255a, + (q31_t)0x375d23a, (q31_t)0x800bf9b7, + (q31_t)0x36f8a51, (q31_t)0x800bce63, (q31_t)0x3694265, (q31_t)0x800ba35d, (q31_t)0x362fa78, (q31_t)0x800b78a7, + (q31_t)0x35cb288, (q31_t)0x800b4e40, + (q31_t)0x3566a96, (q31_t)0x800b2427, (q31_t)0x35022a2, (q31_t)0x800afa5e, (q31_t)0x349daac, (q31_t)0x800ad0e3, + (q31_t)0x34392b4, (q31_t)0x800aa7b8, + (q31_t)0x33d4abb, (q31_t)0x800a7edb, (q31_t)0x33702bf, (q31_t)0x800a564e, (q31_t)0x330bac1, (q31_t)0x800a2e0f, + (q31_t)0x32a72c1, (q31_t)0x800a061f, + (q31_t)0x3242abf, (q31_t)0x8009de7e, (q31_t)0x31de2bb, (q31_t)0x8009b72c, (q31_t)0x3179ab5, (q31_t)0x80099029, + (q31_t)0x31152ae, (q31_t)0x80096975, + (q31_t)0x30b0aa4, (q31_t)0x80094310, (q31_t)0x304c299, (q31_t)0x80091cf9, (q31_t)0x2fe7a8c, (q31_t)0x8008f732, + (q31_t)0x2f8327d, (q31_t)0x8008d1ba, + (q31_t)0x2f1ea6c, (q31_t)0x8008ac90, (q31_t)0x2eba259, (q31_t)0x800887b6, (q31_t)0x2e55a44, (q31_t)0x8008632a, + (q31_t)0x2df122e, (q31_t)0x80083eed, + (q31_t)0x2d8ca16, (q31_t)0x80081b00, (q31_t)0x2d281fc, (q31_t)0x8007f761, (q31_t)0x2cc39e1, (q31_t)0x8007d411, + (q31_t)0x2c5f1c3, (q31_t)0x8007b110, + (q31_t)0x2bfa9a4, (q31_t)0x80078e5e, (q31_t)0x2b96184, (q31_t)0x80076bfb, (q31_t)0x2b31961, (q31_t)0x800749e7, + (q31_t)0x2acd13d, (q31_t)0x80072822, + (q31_t)0x2a68917, (q31_t)0x800706ac, (q31_t)0x2a040f0, (q31_t)0x8006e585, (q31_t)0x299f8c7, (q31_t)0x8006c4ac, + (q31_t)0x293b09c, (q31_t)0x8006a423, + (q31_t)0x28d6870, (q31_t)0x800683e8, (q31_t)0x2872043, (q31_t)0x800663fd, (q31_t)0x280d813, (q31_t)0x80064460, + (q31_t)0x27a8fe2, (q31_t)0x80062513, + (q31_t)0x27447b0, (q31_t)0x80060614, (q31_t)0x26dff7c, (q31_t)0x8005e764, (q31_t)0x267b747, (q31_t)0x8005c904, + (q31_t)0x2616f10, (q31_t)0x8005aaf2, + (q31_t)0x25b26d7, (q31_t)0x80058d2f, (q31_t)0x254de9e, (q31_t)0x80056fbb, (q31_t)0x24e9662, (q31_t)0x80055296, + (q31_t)0x2484e26, (q31_t)0x800535c0, + (q31_t)0x24205e8, (q31_t)0x80051939, (q31_t)0x23bbda8, (q31_t)0x8004fd00, (q31_t)0x2357567, (q31_t)0x8004e117, + (q31_t)0x22f2d25, (q31_t)0x8004c57d, + (q31_t)0x228e4e2, (q31_t)0x8004aa32, (q31_t)0x2229c9d, (q31_t)0x80048f35, (q31_t)0x21c5457, (q31_t)0x80047488, + (q31_t)0x2160c0f, (q31_t)0x80045a29, + (q31_t)0x20fc3c6, (q31_t)0x8004401a, (q31_t)0x2097b7c, (q31_t)0x80042659, (q31_t)0x2033331, (q31_t)0x80040ce7, + (q31_t)0x1fceae4, (q31_t)0x8003f3c5, + (q31_t)0x1f6a297, (q31_t)0x8003daf1, (q31_t)0x1f05a48, (q31_t)0x8003c26c, (q31_t)0x1ea11f7, (q31_t)0x8003aa36, + (q31_t)0x1e3c9a6, (q31_t)0x8003924f, + (q31_t)0x1dd8154, (q31_t)0x80037ab7, (q31_t)0x1d73900, (q31_t)0x8003636e, (q31_t)0x1d0f0ab, (q31_t)0x80034c74, + (q31_t)0x1caa855, (q31_t)0x800335c9, + (q31_t)0x1c45ffe, (q31_t)0x80031f6d, (q31_t)0x1be17a6, (q31_t)0x80030960, (q31_t)0x1b7cf4d, (q31_t)0x8002f3a1, + (q31_t)0x1b186f3, (q31_t)0x8002de32, + (q31_t)0x1ab3e97, (q31_t)0x8002c912, (q31_t)0x1a4f63b, (q31_t)0x8002b440, (q31_t)0x19eaddd, (q31_t)0x80029fbe, + (q31_t)0x198657f, (q31_t)0x80028b8a, + (q31_t)0x1921d20, (q31_t)0x800277a6, (q31_t)0x18bd4bf, (q31_t)0x80026410, (q31_t)0x1858c5e, (q31_t)0x800250c9, + (q31_t)0x17f43fc, (q31_t)0x80023dd2, + (q31_t)0x178fb99, (q31_t)0x80022b29, (q31_t)0x172b335, (q31_t)0x800218cf, (q31_t)0x16c6ad0, (q31_t)0x800206c4, + (q31_t)0x166226a, (q31_t)0x8001f508, + (q31_t)0x15fda03, (q31_t)0x8001e39b, (q31_t)0x159919c, (q31_t)0x8001d27d, (q31_t)0x1534934, (q31_t)0x8001c1ae, + (q31_t)0x14d00ca, (q31_t)0x8001b12e, + (q31_t)0x146b860, (q31_t)0x8001a0fd, (q31_t)0x1406ff6, (q31_t)0x8001911b, (q31_t)0x13a278a, (q31_t)0x80018187, + (q31_t)0x133df1e, (q31_t)0x80017243, + (q31_t)0x12d96b1, (q31_t)0x8001634e, (q31_t)0x1274e43, (q31_t)0x800154a7, (q31_t)0x12105d5, (q31_t)0x80014650, + (q31_t)0x11abd66, (q31_t)0x80013847, + (q31_t)0x11474f6, (q31_t)0x80012a8e, (q31_t)0x10e2c85, (q31_t)0x80011d23, (q31_t)0x107e414, (q31_t)0x80011008, + (q31_t)0x1019ba2, (q31_t)0x8001033b, + (q31_t)0xfb5330, (q31_t)0x8000f6bd, (q31_t)0xf50abd, (q31_t)0x8000ea8e, (q31_t)0xeec249, (q31_t)0x8000deaf, (q31_t)0xe879d5, + (q31_t)0x8000d31e, + (q31_t)0xe23160, (q31_t)0x8000c7dc, (q31_t)0xdbe8eb, (q31_t)0x8000bce9, (q31_t)0xd5a075, (q31_t)0x8000b245, (q31_t)0xcf57ff, + (q31_t)0x8000a7f0, + (q31_t)0xc90f88, (q31_t)0x80009dea, (q31_t)0xc2c711, (q31_t)0x80009433, (q31_t)0xbc7e99, (q31_t)0x80008aca, (q31_t)0xb63621, + (q31_t)0x800081b1, + (q31_t)0xafeda8, (q31_t)0x800078e7, (q31_t)0xa9a52f, (q31_t)0x8000706c, (q31_t)0xa35cb5, (q31_t)0x8000683f, (q31_t)0x9d143b, + (q31_t)0x80006062, + (q31_t)0x96cbc1, (q31_t)0x800058d4, (q31_t)0x908346, (q31_t)0x80005194, (q31_t)0x8a3acb, (q31_t)0x80004aa4, (q31_t)0x83f250, + (q31_t)0x80004402, + (q31_t)0x7da9d4, (q31_t)0x80003daf, (q31_t)0x776159, (q31_t)0x800037ac, (q31_t)0x7118dc, (q31_t)0x800031f7, (q31_t)0x6ad060, + (q31_t)0x80002c91, + (q31_t)0x6487e3, (q31_t)0x8000277a, (q31_t)0x5e3f66, (q31_t)0x800022b3, (q31_t)0x57f6e9, (q31_t)0x80001e3a, (q31_t)0x51ae6b, + (q31_t)0x80001a10, + (q31_t)0x4b65ee, (q31_t)0x80001635, (q31_t)0x451d70, (q31_t)0x800012a9, (q31_t)0x3ed4f2, (q31_t)0x80000f6c, (q31_t)0x388c74, + (q31_t)0x80000c7e, + (q31_t)0x3243f5, (q31_t)0x800009df, (q31_t)0x2bfb77, (q31_t)0x8000078e, (q31_t)0x25b2f8, (q31_t)0x8000058d, (q31_t)0x1f6a7a, + (q31_t)0x800003db, + (q31_t)0x1921fb, (q31_t)0x80000278, (q31_t)0x12d97c, (q31_t)0x80000163, (q31_t)0xc90fe, (q31_t)0x8000009e, (q31_t)0x6487f, + (q31_t)0x80000027 + +}; + +/** +* \par +* cosFactor tables are generated using the formula :
cos_factors[n] = 2 * cos((2n+1)*pi/(4*N))
+* \par +* C command to generate the table +*
+* for(i = 0; i< N; i++)
+* {
+*   cos_factors[i]= 2 * cos((2*i+1)*c/2);
+* } 
+* \par +* where N is the number of factors to generate and c is pi/(2*N) +* \par +* Then converted to q31 format by multiplying with 2^31 and saturated if required. +*/ + + +static const q31_t cos_factorsQ31_128[128] = { + (q31_t)0x7fff6216, (q31_t)0x7ffa72d1, (q31_t)0x7ff09478, (q31_t)0x7fe1c76b, (q31_t)0x7fce0c3e, (q31_t)0x7fb563b3, + (q31_t)0x7f97cebd, (q31_t)0x7f754e80, + (q31_t)0x7f4de451, (q31_t)0x7f2191b4, (q31_t)0x7ef05860, (q31_t)0x7eba3a39, (q31_t)0x7e7f3957, (q31_t)0x7e3f57ff, + (q31_t)0x7dfa98a8, (q31_t)0x7db0fdf8, + (q31_t)0x7d628ac6, (q31_t)0x7d0f4218, (q31_t)0x7cb72724, (q31_t)0x7c5a3d50, (q31_t)0x7bf88830, (q31_t)0x7b920b89, + (q31_t)0x7b26cb4f, (q31_t)0x7ab6cba4, + (q31_t)0x7a4210d8, (q31_t)0x79c89f6e, (q31_t)0x794a7c12, (q31_t)0x78c7aba2, (q31_t)0x78403329, (q31_t)0x77b417df, + (q31_t)0x77235f2d, (q31_t)0x768e0ea6, + (q31_t)0x75f42c0b, (q31_t)0x7555bd4c, (q31_t)0x74b2c884, (q31_t)0x740b53fb, (q31_t)0x735f6626, (q31_t)0x72af05a7, + (q31_t)0x71fa3949, (q31_t)0x71410805, + (q31_t)0x708378ff, (q31_t)0x6fc19385, (q31_t)0x6efb5f12, (q31_t)0x6e30e34a, (q31_t)0x6d6227fa, (q31_t)0x6c8f351c, + (q31_t)0x6bb812d1, (q31_t)0x6adcc964, + (q31_t)0x69fd614a, (q31_t)0x6919e320, (q31_t)0x683257ab, (q31_t)0x6746c7d8, (q31_t)0x66573cbb, (q31_t)0x6563bf92, + (q31_t)0x646c59bf, (q31_t)0x637114cc, + (q31_t)0x6271fa69, (q31_t)0x616f146c, (q31_t)0x60686ccf, (q31_t)0x5f5e0db3, (q31_t)0x5e50015d, (q31_t)0x5d3e5237, + (q31_t)0x5c290acc, (q31_t)0x5b1035cf, + (q31_t)0x59f3de12, (q31_t)0x58d40e8c, (q31_t)0x57b0d256, (q31_t)0x568a34a9, (q31_t)0x556040e2, (q31_t)0x5433027d, + (q31_t)0x53028518, (q31_t)0x51ced46e, + (q31_t)0x5097fc5e, (q31_t)0x4f5e08e3, (q31_t)0x4e210617, (q31_t)0x4ce10034, (q31_t)0x4b9e0390, (q31_t)0x4a581c9e, + (q31_t)0x490f57ee, (q31_t)0x47c3c22f, + (q31_t)0x46756828, (q31_t)0x452456bd, (q31_t)0x43d09aed, (q31_t)0x427a41d0, (q31_t)0x4121589b, (q31_t)0x3fc5ec98, + (q31_t)0x3e680b2c, (q31_t)0x3d07c1d6, + (q31_t)0x3ba51e29, (q31_t)0x3a402dd2, (q31_t)0x38d8fe93, (q31_t)0x376f9e46, (q31_t)0x36041ad9, (q31_t)0x34968250, + (q31_t)0x3326e2c3, (q31_t)0x31b54a5e, + (q31_t)0x3041c761, (q31_t)0x2ecc681e, (q31_t)0x2d553afc, (q31_t)0x2bdc4e6f, (q31_t)0x2a61b101, (q31_t)0x28e5714b, + (q31_t)0x27679df4, (q31_t)0x25e845b6, + (q31_t)0x24677758, (q31_t)0x22e541af, (q31_t)0x2161b3a0, (q31_t)0x1fdcdc1b, (q31_t)0x1e56ca1e, (q31_t)0x1ccf8cb3, + (q31_t)0x1b4732ef, (q31_t)0x19bdcbf3, + (q31_t)0x183366e9, (q31_t)0x16a81305, (q31_t)0x151bdf86, (q31_t)0x138edbb1, (q31_t)0x120116d5, (q31_t)0x1072a048, + (q31_t)0xee38766, (q31_t)0xd53db92, + (q31_t)0xbc3ac35, (q31_t)0xa3308bd, (q31_t)0x8a2009a, (q31_t)0x710a345, (q31_t)0x57f0035, (q31_t)0x3ed26e6, (q31_t)0x25b26d7, + (q31_t)0xc90f88 +}; + +static const q31_t cos_factorsQ31_512[512] = { + (q31_t)0x7ffff621, (q31_t)0x7fffa72c, (q31_t)0x7fff0943, (q31_t)0x7ffe1c65, (q31_t)0x7ffce093, (q31_t)0x7ffb55ce, + (q31_t)0x7ff97c18, (q31_t)0x7ff75370, + (q31_t)0x7ff4dbd9, (q31_t)0x7ff21553, (q31_t)0x7feeffe1, (q31_t)0x7feb9b85, (q31_t)0x7fe7e841, (q31_t)0x7fe3e616, + (q31_t)0x7fdf9508, (q31_t)0x7fdaf519, + (q31_t)0x7fd6064c, (q31_t)0x7fd0c8a3, (q31_t)0x7fcb3c23, (q31_t)0x7fc560cf, (q31_t)0x7fbf36aa, (q31_t)0x7fb8bdb8, + (q31_t)0x7fb1f5fc, (q31_t)0x7faadf7c, + (q31_t)0x7fa37a3c, (q31_t)0x7f9bc640, (q31_t)0x7f93c38c, (q31_t)0x7f8b7227, (q31_t)0x7f82d214, (q31_t)0x7f79e35a, + (q31_t)0x7f70a5fe, (q31_t)0x7f671a05, + (q31_t)0x7f5d3f75, (q31_t)0x7f531655, (q31_t)0x7f489eaa, (q31_t)0x7f3dd87c, (q31_t)0x7f32c3d1, (q31_t)0x7f2760af, + (q31_t)0x7f1baf1e, (q31_t)0x7f0faf25, + (q31_t)0x7f0360cb, (q31_t)0x7ef6c418, (q31_t)0x7ee9d914, (q31_t)0x7edc9fc6, (q31_t)0x7ecf1837, (q31_t)0x7ec14270, + (q31_t)0x7eb31e78, (q31_t)0x7ea4ac58, + (q31_t)0x7e95ec1a, (q31_t)0x7e86ddc6, (q31_t)0x7e778166, (q31_t)0x7e67d703, (q31_t)0x7e57dea7, (q31_t)0x7e47985b, + (q31_t)0x7e37042a, (q31_t)0x7e26221f, + (q31_t)0x7e14f242, (q31_t)0x7e0374a0, (q31_t)0x7df1a942, (q31_t)0x7ddf9034, (q31_t)0x7dcd2981, (q31_t)0x7dba7534, + (q31_t)0x7da77359, (q31_t)0x7d9423fc, + (q31_t)0x7d808728, (q31_t)0x7d6c9ce9, (q31_t)0x7d58654d, (q31_t)0x7d43e05e, (q31_t)0x7d2f0e2b, (q31_t)0x7d19eebf, + (q31_t)0x7d048228, (q31_t)0x7ceec873, + (q31_t)0x7cd8c1ae, (q31_t)0x7cc26de5, (q31_t)0x7cabcd28, (q31_t)0x7c94df83, (q31_t)0x7c7da505, (q31_t)0x7c661dbc, + (q31_t)0x7c4e49b7, (q31_t)0x7c362904, + (q31_t)0x7c1dbbb3, (q31_t)0x7c0501d2, (q31_t)0x7bebfb70, (q31_t)0x7bd2a89e, (q31_t)0x7bb9096b, (q31_t)0x7b9f1de6, + (q31_t)0x7b84e61f, (q31_t)0x7b6a6227, + (q31_t)0x7b4f920e, (q31_t)0x7b3475e5, (q31_t)0x7b190dbc, (q31_t)0x7afd59a4, (q31_t)0x7ae159ae, (q31_t)0x7ac50dec, + (q31_t)0x7aa8766f, (q31_t)0x7a8b9348, + (q31_t)0x7a6e648a, (q31_t)0x7a50ea47, (q31_t)0x7a332490, (q31_t)0x7a151378, (q31_t)0x79f6b711, (q31_t)0x79d80f6f, + (q31_t)0x79b91ca4, (q31_t)0x7999dec4, + (q31_t)0x797a55e0, (q31_t)0x795a820e, (q31_t)0x793a6361, (q31_t)0x7919f9ec, (q31_t)0x78f945c3, (q31_t)0x78d846fb, + (q31_t)0x78b6fda8, (q31_t)0x789569df, + (q31_t)0x78738bb3, (q31_t)0x7851633b, (q31_t)0x782ef08b, (q31_t)0x780c33b8, (q31_t)0x77e92cd9, (q31_t)0x77c5dc01, + (q31_t)0x77a24148, (q31_t)0x777e5cc3, + (q31_t)0x775a2e89, (q31_t)0x7735b6af, (q31_t)0x7710f54c, (q31_t)0x76ebea77, (q31_t)0x76c69647, (q31_t)0x76a0f8d2, + (q31_t)0x767b1231, (q31_t)0x7654e279, + (q31_t)0x762e69c4, (q31_t)0x7607a828, (q31_t)0x75e09dbd, (q31_t)0x75b94a9c, (q31_t)0x7591aedd, (q31_t)0x7569ca99, + (q31_t)0x75419de7, (q31_t)0x751928e0, + (q31_t)0x74f06b9e, (q31_t)0x74c7663a, (q31_t)0x749e18cd, (q31_t)0x74748371, (q31_t)0x744aa63f, (q31_t)0x74208150, + (q31_t)0x73f614c0, (q31_t)0x73cb60a8, + (q31_t)0x73a06522, (q31_t)0x73752249, (q31_t)0x73499838, (q31_t)0x731dc70a, (q31_t)0x72f1aed9, (q31_t)0x72c54fc1, + (q31_t)0x7298a9dd, (q31_t)0x726bbd48, + (q31_t)0x723e8a20, (q31_t)0x7211107e, (q31_t)0x71e35080, (q31_t)0x71b54a41, (q31_t)0x7186fdde, (q31_t)0x71586b74, + (q31_t)0x7129931f, (q31_t)0x70fa74fc, + (q31_t)0x70cb1128, (q31_t)0x709b67c0, (q31_t)0x706b78e3, (q31_t)0x703b44ad, (q31_t)0x700acb3c, (q31_t)0x6fda0cae, + (q31_t)0x6fa90921, (q31_t)0x6f77c0b3, + (q31_t)0x6f463383, (q31_t)0x6f1461b0, (q31_t)0x6ee24b57, (q31_t)0x6eaff099, (q31_t)0x6e7d5193, (q31_t)0x6e4a6e66, + (q31_t)0x6e174730, (q31_t)0x6de3dc11, + (q31_t)0x6db02d29, (q31_t)0x6d7c3a98, (q31_t)0x6d48047e, (q31_t)0x6d138afb, (q31_t)0x6cdece2f, (q31_t)0x6ca9ce3b, + (q31_t)0x6c748b3f, (q31_t)0x6c3f055d, + (q31_t)0x6c093cb6, (q31_t)0x6bd3316a, (q31_t)0x6b9ce39b, (q31_t)0x6b66536b, (q31_t)0x6b2f80fb, (q31_t)0x6af86c6c, + (q31_t)0x6ac115e2, (q31_t)0x6a897d7d, + (q31_t)0x6a51a361, (q31_t)0x6a1987b0, (q31_t)0x69e12a8c, (q31_t)0x69a88c19, (q31_t)0x696fac78, (q31_t)0x69368bce, + (q31_t)0x68fd2a3d, (q31_t)0x68c387e9, + (q31_t)0x6889a4f6, (q31_t)0x684f8186, (q31_t)0x68151dbe, (q31_t)0x67da79c3, (q31_t)0x679f95b7, (q31_t)0x676471c0, + (q31_t)0x67290e02, (q31_t)0x66ed6aa1, + (q31_t)0x66b187c3, (q31_t)0x6675658c, (q31_t)0x66390422, (q31_t)0x65fc63a9, (q31_t)0x65bf8447, (q31_t)0x65826622, + (q31_t)0x6545095f, (q31_t)0x65076e25, + (q31_t)0x64c99498, (q31_t)0x648b7ce0, (q31_t)0x644d2722, (q31_t)0x640e9386, (q31_t)0x63cfc231, (q31_t)0x6390b34a, + (q31_t)0x635166f9, (q31_t)0x6311dd64, + (q31_t)0x62d216b3, (q31_t)0x6292130c, (q31_t)0x6251d298, (q31_t)0x6211557e, (q31_t)0x61d09be5, (q31_t)0x618fa5f7, + (q31_t)0x614e73da, (q31_t)0x610d05b7, + (q31_t)0x60cb5bb7, (q31_t)0x60897601, (q31_t)0x604754bf, (q31_t)0x6004f819, (q31_t)0x5fc26038, (q31_t)0x5f7f8d46, + (q31_t)0x5f3c7f6b, (q31_t)0x5ef936d1, + (q31_t)0x5eb5b3a2, (q31_t)0x5e71f606, (q31_t)0x5e2dfe29, (q31_t)0x5de9cc33, (q31_t)0x5da5604f, (q31_t)0x5d60baa7, + (q31_t)0x5d1bdb65, (q31_t)0x5cd6c2b5, + (q31_t)0x5c9170bf, (q31_t)0x5c4be5b0, (q31_t)0x5c0621b2, (q31_t)0x5bc024f0, (q31_t)0x5b79ef96, (q31_t)0x5b3381ce, + (q31_t)0x5aecdbc5, (q31_t)0x5aa5fda5, + (q31_t)0x5a5ee79a, (q31_t)0x5a1799d1, (q31_t)0x59d01475, (q31_t)0x598857b2, (q31_t)0x594063b5, (q31_t)0x58f838a9, + (q31_t)0x58afd6bd, (q31_t)0x58673e1b, + (q31_t)0x581e6ef1, (q31_t)0x57d5696d, (q31_t)0x578c2dba, (q31_t)0x5742bc06, (q31_t)0x56f9147e, (q31_t)0x56af3750, + (q31_t)0x566524aa, (q31_t)0x561adcb9, + (q31_t)0x55d05faa, (q31_t)0x5585adad, (q31_t)0x553ac6ee, (q31_t)0x54efab9c, (q31_t)0x54a45be6, (q31_t)0x5458d7f9, + (q31_t)0x540d2005, (q31_t)0x53c13439, + (q31_t)0x537514c2, (q31_t)0x5328c1d0, (q31_t)0x52dc3b92, (q31_t)0x528f8238, (q31_t)0x524295f0, (q31_t)0x51f576ea, + (q31_t)0x51a82555, (q31_t)0x515aa162, + (q31_t)0x510ceb40, (q31_t)0x50bf031f, (q31_t)0x5070e92f, (q31_t)0x50229da1, (q31_t)0x4fd420a4, (q31_t)0x4f857269, + (q31_t)0x4f369320, (q31_t)0x4ee782fb, + (q31_t)0x4e984229, (q31_t)0x4e48d0dd, (q31_t)0x4df92f46, (q31_t)0x4da95d96, (q31_t)0x4d595bfe, (q31_t)0x4d092ab0, + (q31_t)0x4cb8c9dd, (q31_t)0x4c6839b7, + (q31_t)0x4c177a6e, (q31_t)0x4bc68c36, (q31_t)0x4b756f40, (q31_t)0x4b2423be, (q31_t)0x4ad2a9e2, (q31_t)0x4a8101de, + (q31_t)0x4a2f2be6, (q31_t)0x49dd282a, + (q31_t)0x498af6df, (q31_t)0x49389836, (q31_t)0x48e60c62, (q31_t)0x48935397, (q31_t)0x48406e08, (q31_t)0x47ed5be6, + (q31_t)0x479a1d67, (q31_t)0x4746b2bc, + (q31_t)0x46f31c1a, (q31_t)0x469f59b4, (q31_t)0x464b6bbe, (q31_t)0x45f7526b, (q31_t)0x45a30df0, (q31_t)0x454e9e80, + (q31_t)0x44fa0450, (q31_t)0x44a53f93, + (q31_t)0x4450507e, (q31_t)0x43fb3746, (q31_t)0x43a5f41e, (q31_t)0x4350873c, (q31_t)0x42faf0d4, (q31_t)0x42a5311b, + (q31_t)0x424f4845, (q31_t)0x41f93689, + (q31_t)0x41a2fc1a, (q31_t)0x414c992f, (q31_t)0x40f60dfb, (q31_t)0x409f5ab6, (q31_t)0x40487f94, (q31_t)0x3ff17cca, + (q31_t)0x3f9a5290, (q31_t)0x3f430119, + (q31_t)0x3eeb889c, (q31_t)0x3e93e950, (q31_t)0x3e3c2369, (q31_t)0x3de4371f, (q31_t)0x3d8c24a8, (q31_t)0x3d33ec39, + (q31_t)0x3cdb8e09, (q31_t)0x3c830a50, + (q31_t)0x3c2a6142, (q31_t)0x3bd19318, (q31_t)0x3b78a007, (q31_t)0x3b1f8848, (q31_t)0x3ac64c0f, (q31_t)0x3a6ceb96, + (q31_t)0x3a136712, (q31_t)0x39b9bebc, + (q31_t)0x395ff2c9, (q31_t)0x39060373, (q31_t)0x38abf0ef, (q31_t)0x3851bb77, (q31_t)0x37f76341, (q31_t)0x379ce885, + (q31_t)0x37424b7b, (q31_t)0x36e78c5b, + (q31_t)0x368cab5c, (q31_t)0x3631a8b8, (q31_t)0x35d684a6, (q31_t)0x357b3f5d, (q31_t)0x351fd918, (q31_t)0x34c4520d, + (q31_t)0x3468aa76, (q31_t)0x340ce28b, + (q31_t)0x33b0fa84, (q31_t)0x3354f29b, (q31_t)0x32f8cb07, (q31_t)0x329c8402, (q31_t)0x32401dc6, (q31_t)0x31e39889, + (q31_t)0x3186f487, (q31_t)0x312a31f8, + (q31_t)0x30cd5115, (q31_t)0x30705217, (q31_t)0x30133539, (q31_t)0x2fb5fab2, (q31_t)0x2f58a2be, (q31_t)0x2efb2d95, + (q31_t)0x2e9d9b70, (q31_t)0x2e3fec8b, + (q31_t)0x2de2211e, (q31_t)0x2d843964, (q31_t)0x2d263596, (q31_t)0x2cc815ee, (q31_t)0x2c69daa6, (q31_t)0x2c0b83fa, + (q31_t)0x2bad1221, (q31_t)0x2b4e8558, + (q31_t)0x2aefddd8, (q31_t)0x2a911bdc, (q31_t)0x2a323f9e, (q31_t)0x29d34958, (q31_t)0x29743946, (q31_t)0x29150fa1, + (q31_t)0x28b5cca5, (q31_t)0x2856708d, + (q31_t)0x27f6fb92, (q31_t)0x27976df1, (q31_t)0x2737c7e3, (q31_t)0x26d809a5, (q31_t)0x26783370, (q31_t)0x26184581, + (q31_t)0x25b84012, (q31_t)0x2558235f, + (q31_t)0x24f7efa2, (q31_t)0x2497a517, (q31_t)0x243743fa, (q31_t)0x23d6cc87, (q31_t)0x23763ef7, (q31_t)0x23159b88, + (q31_t)0x22b4e274, (q31_t)0x225413f8, + (q31_t)0x21f3304f, (q31_t)0x219237b5, (q31_t)0x21312a65, (q31_t)0x20d0089c, (q31_t)0x206ed295, (q31_t)0x200d888d, + (q31_t)0x1fac2abf, (q31_t)0x1f4ab968, + (q31_t)0x1ee934c3, (q31_t)0x1e879d0d, (q31_t)0x1e25f282, (q31_t)0x1dc4355e, (q31_t)0x1d6265dd, (q31_t)0x1d00843d, + (q31_t)0x1c9e90b8, (q31_t)0x1c3c8b8c, + (q31_t)0x1bda74f6, (q31_t)0x1b784d30, (q31_t)0x1b161479, (q31_t)0x1ab3cb0d, (q31_t)0x1a517128, (q31_t)0x19ef0707, + (q31_t)0x198c8ce7, (q31_t)0x192a0304, + (q31_t)0x18c7699b, (q31_t)0x1864c0ea, (q31_t)0x1802092c, (q31_t)0x179f429f, (q31_t)0x173c6d80, (q31_t)0x16d98a0c, + (q31_t)0x1676987f, (q31_t)0x16139918, + (q31_t)0x15b08c12, (q31_t)0x154d71aa, (q31_t)0x14ea4a1f, (q31_t)0x148715ae, (q31_t)0x1423d492, (q31_t)0x13c0870a, + (q31_t)0x135d2d53, (q31_t)0x12f9c7aa, + (q31_t)0x1296564d, (q31_t)0x1232d979, (q31_t)0x11cf516a, (q31_t)0x116bbe60, (q31_t)0x11082096, (q31_t)0x10a4784b, + (q31_t)0x1040c5bb, (q31_t)0xfdd0926, + (q31_t)0xf7942c7, (q31_t)0xf1572dc, (q31_t)0xeb199a4, (q31_t)0xe4db75b, (q31_t)0xde9cc40, (q31_t)0xd85d88f, (q31_t)0xd21dc87, + (q31_t)0xcbdd865, + (q31_t)0xc59cc68, (q31_t)0xbf5b8cb, (q31_t)0xb919dcf, (q31_t)0xb2d7baf, (q31_t)0xac952aa, (q31_t)0xa6522fe, (q31_t)0xa00ece8, + (q31_t)0x99cb0a7, + (q31_t)0x9386e78, (q31_t)0x8d42699, (q31_t)0x86fd947, (q31_t)0x80b86c2, (q31_t)0x7a72f45, (q31_t)0x742d311, (q31_t)0x6de7262, + (q31_t)0x67a0d76, + (q31_t)0x615a48b, (q31_t)0x5b137df, (q31_t)0x54cc7b1, (q31_t)0x4e8543e, (q31_t)0x483ddc3, (q31_t)0x41f6480, (q31_t)0x3bae8b2, + (q31_t)0x3566a96, + (q31_t)0x2f1ea6c, (q31_t)0x28d6870, (q31_t)0x228e4e2, (q31_t)0x1c45ffe, (q31_t)0x15fda03, (q31_t)0xfb5330, (q31_t)0x96cbc1, + (q31_t)0x3243f5 +}; + +static const q31_t cos_factorsQ31_2048[2048] = { + (q31_t)0x7fffff62, (q31_t)0x7ffffa73, (q31_t)0x7ffff094, (q31_t)0x7fffe1c6, (q31_t)0x7fffce09, (q31_t)0x7fffb55c, + (q31_t)0x7fff97c1, (q31_t)0x7fff7536, + (q31_t)0x7fff4dbb, (q31_t)0x7fff2151, (q31_t)0x7ffeeff8, (q31_t)0x7ffeb9b0, (q31_t)0x7ffe7e79, (q31_t)0x7ffe3e52, + (q31_t)0x7ffdf93c, (q31_t)0x7ffdaf37, + (q31_t)0x7ffd6042, (q31_t)0x7ffd0c5f, (q31_t)0x7ffcb38c, (q31_t)0x7ffc55ca, (q31_t)0x7ffbf319, (q31_t)0x7ffb8b78, + (q31_t)0x7ffb1ee9, (q31_t)0x7ffaad6a, + (q31_t)0x7ffa36fc, (q31_t)0x7ff9bba0, (q31_t)0x7ff93b54, (q31_t)0x7ff8b619, (q31_t)0x7ff82bef, (q31_t)0x7ff79cd6, + (q31_t)0x7ff708ce, (q31_t)0x7ff66fd7, + (q31_t)0x7ff5d1f1, (q31_t)0x7ff52f1d, (q31_t)0x7ff48759, (q31_t)0x7ff3daa6, (q31_t)0x7ff32905, (q31_t)0x7ff27275, + (q31_t)0x7ff1b6f6, (q31_t)0x7ff0f688, + (q31_t)0x7ff0312c, (q31_t)0x7fef66e1, (q31_t)0x7fee97a7, (q31_t)0x7fedc37e, (q31_t)0x7fecea67, (q31_t)0x7fec0c62, + (q31_t)0x7feb296d, (q31_t)0x7fea418b, + (q31_t)0x7fe954ba, (q31_t)0x7fe862fa, (q31_t)0x7fe76c4c, (q31_t)0x7fe670b0, (q31_t)0x7fe57025, (q31_t)0x7fe46aac, + (q31_t)0x7fe36045, (q31_t)0x7fe250ef, + (q31_t)0x7fe13cac, (q31_t)0x7fe0237a, (q31_t)0x7fdf055a, (q31_t)0x7fdde24d, (q31_t)0x7fdcba51, (q31_t)0x7fdb8d67, + (q31_t)0x7fda5b8f, (q31_t)0x7fd924ca, + (q31_t)0x7fd7e917, (q31_t)0x7fd6a875, (q31_t)0x7fd562e7, (q31_t)0x7fd4186a, (q31_t)0x7fd2c900, (q31_t)0x7fd174a8, + (q31_t)0x7fd01b63, (q31_t)0x7fcebd31, + (q31_t)0x7fcd5a11, (q31_t)0x7fcbf203, (q31_t)0x7fca8508, (q31_t)0x7fc91320, (q31_t)0x7fc79c4b, (q31_t)0x7fc62089, + (q31_t)0x7fc49fda, (q31_t)0x7fc31a3d, + (q31_t)0x7fc18fb4, (q31_t)0x7fc0003e, (q31_t)0x7fbe6bdb, (q31_t)0x7fbcd28b, (q31_t)0x7fbb344e, (q31_t)0x7fb99125, + (q31_t)0x7fb7e90f, (q31_t)0x7fb63c0d, + (q31_t)0x7fb48a1e, (q31_t)0x7fb2d343, (q31_t)0x7fb1177b, (q31_t)0x7faf56c7, (q31_t)0x7fad9127, (q31_t)0x7fabc69b, + (q31_t)0x7fa9f723, (q31_t)0x7fa822bf, + (q31_t)0x7fa6496e, (q31_t)0x7fa46b32, (q31_t)0x7fa2880b, (q31_t)0x7fa09ff7, (q31_t)0x7f9eb2f8, (q31_t)0x7f9cc10d, + (q31_t)0x7f9aca37, (q31_t)0x7f98ce76, + (q31_t)0x7f96cdc9, (q31_t)0x7f94c831, (q31_t)0x7f92bdad, (q31_t)0x7f90ae3f, (q31_t)0x7f8e99e6, (q31_t)0x7f8c80a1, + (q31_t)0x7f8a6272, (q31_t)0x7f883f58, + (q31_t)0x7f861753, (q31_t)0x7f83ea64, (q31_t)0x7f81b88a, (q31_t)0x7f7f81c6, (q31_t)0x7f7d4617, (q31_t)0x7f7b057e, + (q31_t)0x7f78bffb, (q31_t)0x7f76758e, + (q31_t)0x7f742637, (q31_t)0x7f71d1f6, (q31_t)0x7f6f78cb, (q31_t)0x7f6d1ab6, (q31_t)0x7f6ab7b8, (q31_t)0x7f684fd0, + (q31_t)0x7f65e2ff, (q31_t)0x7f637144, + (q31_t)0x7f60faa0, (q31_t)0x7f5e7f13, (q31_t)0x7f5bfe9d, (q31_t)0x7f59793e, (q31_t)0x7f56eef5, (q31_t)0x7f545fc5, + (q31_t)0x7f51cbab, (q31_t)0x7f4f32a9, + (q31_t)0x7f4c94be, (q31_t)0x7f49f1eb, (q31_t)0x7f474a30, (q31_t)0x7f449d8c, (q31_t)0x7f41ec01, (q31_t)0x7f3f358d, + (q31_t)0x7f3c7a31, (q31_t)0x7f39b9ee, + (q31_t)0x7f36f4c3, (q31_t)0x7f342ab1, (q31_t)0x7f315bb7, (q31_t)0x7f2e87d6, (q31_t)0x7f2baf0d, (q31_t)0x7f28d15d, + (q31_t)0x7f25eec7, (q31_t)0x7f230749, + (q31_t)0x7f201ae5, (q31_t)0x7f1d299a, (q31_t)0x7f1a3368, (q31_t)0x7f173850, (q31_t)0x7f143852, (q31_t)0x7f11336d, + (q31_t)0x7f0e29a3, (q31_t)0x7f0b1af2, + (q31_t)0x7f08075c, (q31_t)0x7f04eedf, (q31_t)0x7f01d17d, (q31_t)0x7efeaf36, (q31_t)0x7efb8809, (q31_t)0x7ef85bf7, + (q31_t)0x7ef52b00, (q31_t)0x7ef1f524, + (q31_t)0x7eeeba62, (q31_t)0x7eeb7abc, (q31_t)0x7ee83632, (q31_t)0x7ee4ecc3, (q31_t)0x7ee19e6f, (q31_t)0x7ede4b38, + (q31_t)0x7edaf31c, (q31_t)0x7ed7961c, + (q31_t)0x7ed43438, (q31_t)0x7ed0cd70, (q31_t)0x7ecd61c5, (q31_t)0x7ec9f137, (q31_t)0x7ec67bc5, (q31_t)0x7ec3016f, + (q31_t)0x7ebf8237, (q31_t)0x7ebbfe1c, + (q31_t)0x7eb8751e, (q31_t)0x7eb4e73d, (q31_t)0x7eb1547a, (q31_t)0x7eadbcd4, (q31_t)0x7eaa204c, (q31_t)0x7ea67ee2, + (q31_t)0x7ea2d896, (q31_t)0x7e9f2d68, + (q31_t)0x7e9b7d58, (q31_t)0x7e97c867, (q31_t)0x7e940e94, (q31_t)0x7e904fe0, (q31_t)0x7e8c8c4b, (q31_t)0x7e88c3d5, + (q31_t)0x7e84f67e, (q31_t)0x7e812447, + (q31_t)0x7e7d4d2f, (q31_t)0x7e797136, (q31_t)0x7e75905d, (q31_t)0x7e71aaa4, (q31_t)0x7e6dc00c, (q31_t)0x7e69d093, + (q31_t)0x7e65dc3b, (q31_t)0x7e61e303, + (q31_t)0x7e5de4ec, (q31_t)0x7e59e1f5, (q31_t)0x7e55da20, (q31_t)0x7e51cd6c, (q31_t)0x7e4dbbd9, (q31_t)0x7e49a567, + (q31_t)0x7e458a17, (q31_t)0x7e4169e9, + (q31_t)0x7e3d44dd, (q31_t)0x7e391af3, (q31_t)0x7e34ec2b, (q31_t)0x7e30b885, (q31_t)0x7e2c8002, (q31_t)0x7e2842a2, + (q31_t)0x7e240064, (q31_t)0x7e1fb94a, + (q31_t)0x7e1b6d53, (q31_t)0x7e171c7f, (q31_t)0x7e12c6ce, (q31_t)0x7e0e6c42, (q31_t)0x7e0a0cd9, (q31_t)0x7e05a894, + (q31_t)0x7e013f74, (q31_t)0x7dfcd178, + (q31_t)0x7df85ea0, (q31_t)0x7df3e6ee, (q31_t)0x7def6a60, (q31_t)0x7deae8f7, (q31_t)0x7de662b3, (q31_t)0x7de1d795, + (q31_t)0x7ddd479d, (q31_t)0x7dd8b2ca, + (q31_t)0x7dd4191d, (q31_t)0x7dcf7a96, (q31_t)0x7dcad736, (q31_t)0x7dc62efc, (q31_t)0x7dc181e8, (q31_t)0x7dbccffc, + (q31_t)0x7db81936, (q31_t)0x7db35d98, + (q31_t)0x7dae9d21, (q31_t)0x7da9d7d2, (q31_t)0x7da50dab, (q31_t)0x7da03eab, (q31_t)0x7d9b6ad3, (q31_t)0x7d969224, + (q31_t)0x7d91b49e, (q31_t)0x7d8cd240, + (q31_t)0x7d87eb0a, (q31_t)0x7d82fefe, (q31_t)0x7d7e0e1c, (q31_t)0x7d791862, (q31_t)0x7d741dd2, (q31_t)0x7d6f1e6c, + (q31_t)0x7d6a1a31, (q31_t)0x7d65111f, + (q31_t)0x7d600338, (q31_t)0x7d5af07b, (q31_t)0x7d55d8e9, (q31_t)0x7d50bc82, (q31_t)0x7d4b9b46, (q31_t)0x7d467536, + (q31_t)0x7d414a51, (q31_t)0x7d3c1a98, + (q31_t)0x7d36e60b, (q31_t)0x7d31acaa, (q31_t)0x7d2c6e76, (q31_t)0x7d272b6e, (q31_t)0x7d21e393, (q31_t)0x7d1c96e5, + (q31_t)0x7d174564, (q31_t)0x7d11ef11, + (q31_t)0x7d0c93eb, (q31_t)0x7d0733f3, (q31_t)0x7d01cf29, (q31_t)0x7cfc658d, (q31_t)0x7cf6f720, (q31_t)0x7cf183e1, + (q31_t)0x7cec0bd1, (q31_t)0x7ce68ef0, + (q31_t)0x7ce10d3f, (q31_t)0x7cdb86bd, (q31_t)0x7cd5fb6a, (q31_t)0x7cd06b48, (q31_t)0x7ccad656, (q31_t)0x7cc53c94, + (q31_t)0x7cbf9e03, (q31_t)0x7cb9faa2, + (q31_t)0x7cb45272, (q31_t)0x7caea574, (q31_t)0x7ca8f3a7, (q31_t)0x7ca33d0c, (q31_t)0x7c9d81a3, (q31_t)0x7c97c16b, + (q31_t)0x7c91fc66, (q31_t)0x7c8c3294, + (q31_t)0x7c8663f4, (q31_t)0x7c809088, (q31_t)0x7c7ab84e, (q31_t)0x7c74db48, (q31_t)0x7c6ef976, (q31_t)0x7c6912d7, + (q31_t)0x7c63276d, (q31_t)0x7c5d3737, + (q31_t)0x7c574236, (q31_t)0x7c514869, (q31_t)0x7c4b49d2, (q31_t)0x7c45466f, (q31_t)0x7c3f3e42, (q31_t)0x7c39314b, + (q31_t)0x7c331f8a, (q31_t)0x7c2d08ff, + (q31_t)0x7c26edab, (q31_t)0x7c20cd8d, (q31_t)0x7c1aa8a6, (q31_t)0x7c147ef6, (q31_t)0x7c0e507e, (q31_t)0x7c081d3d, + (q31_t)0x7c01e534, (q31_t)0x7bfba863, + (q31_t)0x7bf566cb, (q31_t)0x7bef206b, (q31_t)0x7be8d544, (q31_t)0x7be28556, (q31_t)0x7bdc30a1, (q31_t)0x7bd5d726, + (q31_t)0x7bcf78e5, (q31_t)0x7bc915dd, + (q31_t)0x7bc2ae10, (q31_t)0x7bbc417e, (q31_t)0x7bb5d026, (q31_t)0x7baf5a09, (q31_t)0x7ba8df28, (q31_t)0x7ba25f82, + (q31_t)0x7b9bdb18, (q31_t)0x7b9551ea, + (q31_t)0x7b8ec3f8, (q31_t)0x7b883143, (q31_t)0x7b8199ca, (q31_t)0x7b7afd8f, (q31_t)0x7b745c91, (q31_t)0x7b6db6d0, + (q31_t)0x7b670c4d, (q31_t)0x7b605d09, + (q31_t)0x7b59a902, (q31_t)0x7b52f03a, (q31_t)0x7b4c32b1, (q31_t)0x7b457068, (q31_t)0x7b3ea95d, (q31_t)0x7b37dd92, + (q31_t)0x7b310d07, (q31_t)0x7b2a37bc, + (q31_t)0x7b235db2, (q31_t)0x7b1c7ee8, (q31_t)0x7b159b5f, (q31_t)0x7b0eb318, (q31_t)0x7b07c612, (q31_t)0x7b00d44d, + (q31_t)0x7af9ddcb, (q31_t)0x7af2e28b, + (q31_t)0x7aebe28d, (q31_t)0x7ae4ddd2, (q31_t)0x7addd45b, (q31_t)0x7ad6c626, (q31_t)0x7acfb336, (q31_t)0x7ac89b89, + (q31_t)0x7ac17f20, (q31_t)0x7aba5dfc, + (q31_t)0x7ab3381d, (q31_t)0x7aac0d82, (q31_t)0x7aa4de2d, (q31_t)0x7a9daa1d, (q31_t)0x7a967153, (q31_t)0x7a8f33d0, + (q31_t)0x7a87f192, (q31_t)0x7a80aa9c, + (q31_t)0x7a795eec, (q31_t)0x7a720e84, (q31_t)0x7a6ab963, (q31_t)0x7a635f8a, (q31_t)0x7a5c00f9, (q31_t)0x7a549db0, + (q31_t)0x7a4d35b0, (q31_t)0x7a45c8f9, + (q31_t)0x7a3e578b, (q31_t)0x7a36e166, (q31_t)0x7a2f668c, (q31_t)0x7a27e6fb, (q31_t)0x7a2062b5, (q31_t)0x7a18d9b9, + (q31_t)0x7a114c09, (q31_t)0x7a09b9a4, + (q31_t)0x7a02228a, (q31_t)0x79fa86bc, (q31_t)0x79f2e63a, (q31_t)0x79eb4105, (q31_t)0x79e3971c, (q31_t)0x79dbe880, + (q31_t)0x79d43532, (q31_t)0x79cc7d31, + (q31_t)0x79c4c07e, (q31_t)0x79bcff19, (q31_t)0x79b53903, (q31_t)0x79ad6e3c, (q31_t)0x79a59ec3, (q31_t)0x799dca9a, + (q31_t)0x7995f1c1, (q31_t)0x798e1438, + 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(q31_t)0x22909785, (q31_t)0x227863e5, (q31_t)0x22602ef1, + (q31_t)0x2247f8aa, (q31_t)0x222fc111, + (q31_t)0x22178826, (q31_t)0x21ff4dea, (q31_t)0x21e71260, (q31_t)0x21ced586, (q31_t)0x21b6975f, (q31_t)0x219e57eb, + (q31_t)0x2186172b, (q31_t)0x216dd521, + (q31_t)0x215591cc, (q31_t)0x213d4d2f, (q31_t)0x21250749, (q31_t)0x210cc01d, (q31_t)0x20f477aa, (q31_t)0x20dc2df2, + (q31_t)0x20c3e2f5, (q31_t)0x20ab96b5, + (q31_t)0x20934933, (q31_t)0x207afa6f, (q31_t)0x2062aa6b, (q31_t)0x204a5927, (q31_t)0x203206a4, (q31_t)0x2019b2e4, + (q31_t)0x20015de7, (q31_t)0x1fe907ae, + (q31_t)0x1fd0b03a, (q31_t)0x1fb8578b, (q31_t)0x1f9ffda4, (q31_t)0x1f87a285, (q31_t)0x1f6f462f, (q31_t)0x1f56e8a2, + (q31_t)0x1f3e89e0, (q31_t)0x1f2629ea, + (q31_t)0x1f0dc8c0, (q31_t)0x1ef56664, (q31_t)0x1edd02d6, (q31_t)0x1ec49e17, (q31_t)0x1eac3829, (q31_t)0x1e93d10c, + (q31_t)0x1e7b68c2, (q31_t)0x1e62ff4a, + (q31_t)0x1e4a94a7, (q31_t)0x1e3228d9, (q31_t)0x1e19bbe0, (q31_t)0x1e014dbf, (q31_t)0x1de8de75, (q31_t)0x1dd06e04, + (q31_t)0x1db7fc6d, (q31_t)0x1d9f89b1, + (q31_t)0x1d8715d0, (q31_t)0x1d6ea0cc, (q31_t)0x1d562aa6, (q31_t)0x1d3db35e, (q31_t)0x1d253af5, (q31_t)0x1d0cc16c, + (q31_t)0x1cf446c5, (q31_t)0x1cdbcb00, + (q31_t)0x1cc34e1f, (q31_t)0x1caad021, (q31_t)0x1c925109, (q31_t)0x1c79d0d6, (q31_t)0x1c614f8b, (q31_t)0x1c48cd27, + (q31_t)0x1c3049ac, (q31_t)0x1c17c51b, + (q31_t)0x1bff3f75, (q31_t)0x1be6b8ba, (q31_t)0x1bce30ec, (q31_t)0x1bb5a80c, (q31_t)0x1b9d1e1a, (q31_t)0x1b849317, + (q31_t)0x1b6c0705, (q31_t)0x1b5379e5, + (q31_t)0x1b3aebb6, (q31_t)0x1b225c7b, (q31_t)0x1b09cc34, (q31_t)0x1af13ae3, (q31_t)0x1ad8a887, (q31_t)0x1ac01522, + (q31_t)0x1aa780b6, (q31_t)0x1a8eeb42, + (q31_t)0x1a7654c8, (q31_t)0x1a5dbd49, (q31_t)0x1a4524c6, (q31_t)0x1a2c8b3f, (q31_t)0x1a13f0b6, (q31_t)0x19fb552c, + (q31_t)0x19e2b8a2, (q31_t)0x19ca1b17, + (q31_t)0x19b17c8f, (q31_t)0x1998dd09, (q31_t)0x19803c86, (q31_t)0x19679b07, (q31_t)0x194ef88e, (q31_t)0x1936551b, + (q31_t)0x191db0af, (q31_t)0x19050b4b, + (q31_t)0x18ec64f0, (q31_t)0x18d3bda0, (q31_t)0x18bb155a, (q31_t)0x18a26c20, (q31_t)0x1889c1f3, (q31_t)0x187116d4, + (q31_t)0x18586ac3, (q31_t)0x183fbdc3, + (q31_t)0x18270fd3, (q31_t)0x180e60f4, (q31_t)0x17f5b129, (q31_t)0x17dd0070, (q31_t)0x17c44ecd, (q31_t)0x17ab9c3e, + (q31_t)0x1792e8c6, (q31_t)0x177a3466, + (q31_t)0x17617f1d, (q31_t)0x1748c8ee, (q31_t)0x173011d9, (q31_t)0x171759df, (q31_t)0x16fea102, (q31_t)0x16e5e741, + (q31_t)0x16cd2c9f, (q31_t)0x16b4711b, + (q31_t)0x169bb4b7, (q31_t)0x1682f774, (q31_t)0x166a3953, (q31_t)0x16517a55, (q31_t)0x1638ba7a, (q31_t)0x161ff9c4, + (q31_t)0x16073834, (q31_t)0x15ee75cb, + (q31_t)0x15d5b288, (q31_t)0x15bcee6f, (q31_t)0x15a4297f, (q31_t)0x158b63b9, (q31_t)0x15729d1f, (q31_t)0x1559d5b1, + (q31_t)0x15410d70, (q31_t)0x1528445d, + (q31_t)0x150f7a7a, (q31_t)0x14f6afc7, (q31_t)0x14dde445, (q31_t)0x14c517f4, (q31_t)0x14ac4ad7, (q31_t)0x14937cee, + (q31_t)0x147aae3a, (q31_t)0x1461debc, + (q31_t)0x14490e74, (q31_t)0x14303d65, (q31_t)0x14176b8e, (q31_t)0x13fe98f1, (q31_t)0x13e5c58e, (q31_t)0x13ccf167, + (q31_t)0x13b41c7d, (q31_t)0x139b46d0, + (q31_t)0x13827062, (q31_t)0x13699933, (q31_t)0x1350c144, (q31_t)0x1337e897, (q31_t)0x131f0f2c, (q31_t)0x13063505, + (q31_t)0x12ed5a21, (q31_t)0x12d47e83, + (q31_t)0x12bba22b, (q31_t)0x12a2c51b, (q31_t)0x1289e752, (q31_t)0x127108d2, (q31_t)0x1258299c, (q31_t)0x123f49b2, + (q31_t)0x12266913, (q31_t)0x120d87c1, + (q31_t)0x11f4a5bd, (q31_t)0x11dbc307, (q31_t)0x11c2dfa2, (q31_t)0x11a9fb8d, (q31_t)0x119116c9, (q31_t)0x11783159, + (q31_t)0x115f4b3c, (q31_t)0x11466473, + (q31_t)0x112d7d00, (q31_t)0x111494e4, (q31_t)0x10fbac1e, (q31_t)0x10e2c2b2, (q31_t)0x10c9d89e, (q31_t)0x10b0ede5, + (q31_t)0x10980287, (q31_t)0x107f1686, + (q31_t)0x106629e1, (q31_t)0x104d3c9b, (q31_t)0x10344eb4, (q31_t)0x101b602d, (q31_t)0x10027107, (q31_t)0xfe98143, + (q31_t)0xfd090e1, (q31_t)0xfb79fe4, + (q31_t)0xf9eae4c, (q31_t)0xf85bc19, (q31_t)0xf6cc94e, (q31_t)0xf53d5ea, (q31_t)0xf3ae1ee, (q31_t)0xf21ed5d, (q31_t)0xf08f836, + (q31_t)0xef0027b, + (q31_t)0xed70c2c, (q31_t)0xebe154b, (q31_t)0xea51dd8, (q31_t)0xe8c25d5, (q31_t)0xe732d42, (q31_t)0xe5a3421, (q31_t)0xe413a72, + (q31_t)0xe284036, + (q31_t)0xe0f456f, (q31_t)0xdf64a1c, (q31_t)0xddd4e40, (q31_t)0xdc451dc, (q31_t)0xdab54ef, (q31_t)0xd92577b, (q31_t)0xd795982, + (q31_t)0xd605b03, + (q31_t)0xd475c00, (q31_t)0xd2e5c7b, (q31_t)0xd155c73, (q31_t)0xcfc5bea, (q31_t)0xce35ae1, (q31_t)0xcca5959, (q31_t)0xcb15752, + (q31_t)0xc9854cf, + (q31_t)0xc7f51cf, (q31_t)0xc664e53, (q31_t)0xc4d4a5d, (q31_t)0xc3445ee, (q31_t)0xc1b4107, (q31_t)0xc023ba7, (q31_t)0xbe935d2, + (q31_t)0xbd02f87, + (q31_t)0xbb728c7, (q31_t)0xb9e2193, (q31_t)0xb8519ed, (q31_t)0xb6c11d5, (q31_t)0xb53094d, (q31_t)0xb3a0055, (q31_t)0xb20f6ee, + (q31_t)0xb07ed19, + (q31_t)0xaeee2d7, (q31_t)0xad5d829, (q31_t)0xabccd11, (q31_t)0xaa3c18e, (q31_t)0xa8ab5a2, (q31_t)0xa71a94f, (q31_t)0xa589c94, + (q31_t)0xa3f8f73, + (q31_t)0xa2681ed, (q31_t)0xa0d7403, (q31_t)0x9f465b5, (q31_t)0x9db5706, (q31_t)0x9c247f5, (q31_t)0x9a93884, (q31_t)0x99028b3, + (q31_t)0x9771884, + (q31_t)0x95e07f8, (q31_t)0x944f70f, (q31_t)0x92be5ca, (q31_t)0x912d42c, (q31_t)0x8f9c233, (q31_t)0x8e0afe2, (q31_t)0x8c79d3a, + (q31_t)0x8ae8a3a, + (q31_t)0x89576e5, (q31_t)0x87c633c, (q31_t)0x8634f3e, (q31_t)0x84a3aee, (q31_t)0x831264c, (q31_t)0x8181159, (q31_t)0x7fefc16, + (q31_t)0x7e5e685, + (q31_t)0x7ccd0a5, (q31_t)0x7b3ba78, (q31_t)0x79aa400, (q31_t)0x7818d3c, (q31_t)0x768762e, (q31_t)0x74f5ed7, (q31_t)0x7364738, + (q31_t)0x71d2f52, + (q31_t)0x7041726, (q31_t)0x6eafeb4, (q31_t)0x6d1e5fe, (q31_t)0x6b8cd05, (q31_t)0x69fb3c9, (q31_t)0x6869a4c, (q31_t)0x66d808f, + (q31_t)0x6546692, + (q31_t)0x63b4c57, (q31_t)0x62231de, (q31_t)0x6091729, (q31_t)0x5effc38, (q31_t)0x5d6e10c, (q31_t)0x5bdc5a7, (q31_t)0x5a4aa09, + (q31_t)0x58b8e34, + (q31_t)0x5727228, (q31_t)0x55955e6, (q31_t)0x540396f, (q31_t)0x5271cc4, (q31_t)0x50dffe7, (q31_t)0x4f4e2d8, (q31_t)0x4dbc597, + (q31_t)0x4c2a827, + (q31_t)0x4a98a88, (q31_t)0x4906cbb, (q31_t)0x4774ec1, (q31_t)0x45e309a, (q31_t)0x4451249, (q31_t)0x42bf3cd, (q31_t)0x412d528, + (q31_t)0x3f9b65b, + (q31_t)0x3e09767, (q31_t)0x3c7784d, (q31_t)0x3ae590d, (q31_t)0x39539a9, (q31_t)0x37c1a22, (q31_t)0x362fa78, (q31_t)0x349daac, + (q31_t)0x330bac1, + (q31_t)0x3179ab5, (q31_t)0x2fe7a8c, (q31_t)0x2e55a44, (q31_t)0x2cc39e1, (q31_t)0x2b31961, (q31_t)0x299f8c7, (q31_t)0x280d813, + (q31_t)0x267b747, + (q31_t)0x24e9662, (q31_t)0x2357567, (q31_t)0x21c5457, (q31_t)0x2033331, (q31_t)0x1ea11f7, (q31_t)0x1d0f0ab, (q31_t)0x1b7cf4d, + (q31_t)0x19eaddd, + (q31_t)0x1858c5e, (q31_t)0x16c6ad0, (q31_t)0x1534934, (q31_t)0x13a278a, (q31_t)0x12105d5, (q31_t)0x107e414, (q31_t)0xeec249, + (q31_t)0xd5a075, + (q31_t)0xbc7e99, (q31_t)0xa35cb5, (q31_t)0x8a3acb, (q31_t)0x7118dc, (q31_t)0x57f6e9, (q31_t)0x3ed4f2, (q31_t)0x25b2f8, + (q31_t)0xc90fe +}; + +static const q31_t cos_factorsQ31_8192[8192] = { + (q31_t)0x7ffffff6, (q31_t)0x7fffffa7, (q31_t)0x7fffff09, (q31_t)0x7ffffe1c, (q31_t)0x7ffffce1, (q31_t)0x7ffffb56, + (q31_t)0x7ffff97c, (q31_t)0x7ffff753, + (q31_t)0x7ffff4dc, (q31_t)0x7ffff215, (q31_t)0x7fffef00, (q31_t)0x7fffeb9b, (q31_t)0x7fffe7e8, (q31_t)0x7fffe3e5, + (q31_t)0x7fffdf94, (q31_t)0x7fffdaf3, + (q31_t)0x7fffd604, (q31_t)0x7fffd0c6, (q31_t)0x7fffcb39, (q31_t)0x7fffc55c, (q31_t)0x7fffbf31, (q31_t)0x7fffb8b7, + (q31_t)0x7fffb1ee, (q31_t)0x7fffaad6, + (q31_t)0x7fffa36f, (q31_t)0x7fff9bb9, (q31_t)0x7fff93b4, (q31_t)0x7fff8b61, (q31_t)0x7fff82be, (q31_t)0x7fff79cc, + (q31_t)0x7fff708b, (q31_t)0x7fff66fc, + (q31_t)0x7fff5d1d, (q31_t)0x7fff52ef, (q31_t)0x7fff4873, (q31_t)0x7fff3da8, (q31_t)0x7fff328d, (q31_t)0x7fff2724, + (q31_t)0x7fff1b6b, (q31_t)0x7fff0f64, + (q31_t)0x7fff030e, (q31_t)0x7ffef669, (q31_t)0x7ffee975, (q31_t)0x7ffedc31, (q31_t)0x7ffece9f, (q31_t)0x7ffec0be, + (q31_t)0x7ffeb28e, (q31_t)0x7ffea40f, + (q31_t)0x7ffe9542, (q31_t)0x7ffe8625, (q31_t)0x7ffe76b9, (q31_t)0x7ffe66fe, (q31_t)0x7ffe56f5, (q31_t)0x7ffe469c, + (q31_t)0x7ffe35f4, (q31_t)0x7ffe24fe, + (q31_t)0x7ffe13b8, (q31_t)0x7ffe0224, (q31_t)0x7ffdf040, (q31_t)0x7ffdde0e, (q31_t)0x7ffdcb8d, (q31_t)0x7ffdb8bc, + (q31_t)0x7ffda59d, (q31_t)0x7ffd922f, + (q31_t)0x7ffd7e72, (q31_t)0x7ffd6a66, (q31_t)0x7ffd560b, (q31_t)0x7ffd4161, (q31_t)0x7ffd2c68, (q31_t)0x7ffd1720, + (q31_t)0x7ffd0189, (q31_t)0x7ffceba4, + (q31_t)0x7ffcd56f, (q31_t)0x7ffcbeeb, (q31_t)0x7ffca819, (q31_t)0x7ffc90f7, (q31_t)0x7ffc7987, (q31_t)0x7ffc61c7, + (q31_t)0x7ffc49b9, (q31_t)0x7ffc315b, + (q31_t)0x7ffc18af, (q31_t)0x7ffbffb4, (q31_t)0x7ffbe66a, (q31_t)0x7ffbccd0, (q31_t)0x7ffbb2e8, (q31_t)0x7ffb98b1, + (q31_t)0x7ffb7e2b, (q31_t)0x7ffb6356, + (q31_t)0x7ffb4833, (q31_t)0x7ffb2cc0, (q31_t)0x7ffb10fe, (q31_t)0x7ffaf4ed, (q31_t)0x7ffad88e, (q31_t)0x7ffabbdf, + (q31_t)0x7ffa9ee2, (q31_t)0x7ffa8195, + (q31_t)0x7ffa63fa, (q31_t)0x7ffa460f, (q31_t)0x7ffa27d6, (q31_t)0x7ffa094e, (q31_t)0x7ff9ea76, (q31_t)0x7ff9cb50, + (q31_t)0x7ff9abdb, (q31_t)0x7ff98c17, + (q31_t)0x7ff96c04, (q31_t)0x7ff94ba2, (q31_t)0x7ff92af1, (q31_t)0x7ff909f2, (q31_t)0x7ff8e8a3, (q31_t)0x7ff8c705, + (q31_t)0x7ff8a519, (q31_t)0x7ff882dd, + (q31_t)0x7ff86053, (q31_t)0x7ff83d79, (q31_t)0x7ff81a51, (q31_t)0x7ff7f6da, (q31_t)0x7ff7d313, (q31_t)0x7ff7aefe, + (q31_t)0x7ff78a9a, (q31_t)0x7ff765e7, + (q31_t)0x7ff740e5, (q31_t)0x7ff71b94, (q31_t)0x7ff6f5f4, (q31_t)0x7ff6d005, (q31_t)0x7ff6a9c8, (q31_t)0x7ff6833b, + (q31_t)0x7ff65c5f, (q31_t)0x7ff63535, + (q31_t)0x7ff60dbb, (q31_t)0x7ff5e5f3, (q31_t)0x7ff5bddc, (q31_t)0x7ff59576, (q31_t)0x7ff56cc0, (q31_t)0x7ff543bc, + (q31_t)0x7ff51a69, (q31_t)0x7ff4f0c7, + (q31_t)0x7ff4c6d6, (q31_t)0x7ff49c96, (q31_t)0x7ff47208, (q31_t)0x7ff4472a, (q31_t)0x7ff41bfd, (q31_t)0x7ff3f082, + (q31_t)0x7ff3c4b7, (q31_t)0x7ff3989e, + (q31_t)0x7ff36c36, (q31_t)0x7ff33f7e, (q31_t)0x7ff31278, (q31_t)0x7ff2e523, (q31_t)0x7ff2b77f, (q31_t)0x7ff2898c, + (q31_t)0x7ff25b4a, (q31_t)0x7ff22cb9, + (q31_t)0x7ff1fdd9, (q31_t)0x7ff1ceab, (q31_t)0x7ff19f2d, (q31_t)0x7ff16f61, (q31_t)0x7ff13f45, (q31_t)0x7ff10edb, + (q31_t)0x7ff0de22, (q31_t)0x7ff0ad19, + (q31_t)0x7ff07bc2, (q31_t)0x7ff04a1c, (q31_t)0x7ff01827, (q31_t)0x7fefe5e4, (q31_t)0x7fefb351, (q31_t)0x7fef806f, + (q31_t)0x7fef4d3e, (q31_t)0x7fef19bf, + (q31_t)0x7feee5f0, (q31_t)0x7feeb1d3, (q31_t)0x7fee7d67, (q31_t)0x7fee48ac, (q31_t)0x7fee13a1, (q31_t)0x7fedde48, + (q31_t)0x7feda8a0, (q31_t)0x7fed72aa, + (q31_t)0x7fed3c64, (q31_t)0x7fed05cf, (q31_t)0x7fecceec, (q31_t)0x7fec97b9, (q31_t)0x7fec6038, (q31_t)0x7fec2867, + (q31_t)0x7febf048, (q31_t)0x7febb7da, + (q31_t)0x7feb7f1d, (q31_t)0x7feb4611, (q31_t)0x7feb0cb6, (q31_t)0x7fead30c, (q31_t)0x7fea9914, (q31_t)0x7fea5ecc, + (q31_t)0x7fea2436, (q31_t)0x7fe9e950, + (q31_t)0x7fe9ae1c, (q31_t)0x7fe97299, (q31_t)0x7fe936c7, (q31_t)0x7fe8faa6, (q31_t)0x7fe8be36, (q31_t)0x7fe88177, + (q31_t)0x7fe84469, (q31_t)0x7fe8070d, + (q31_t)0x7fe7c961, (q31_t)0x7fe78b67, (q31_t)0x7fe74d1e, (q31_t)0x7fe70e85, (q31_t)0x7fe6cf9e, (q31_t)0x7fe69068, + (q31_t)0x7fe650e3, (q31_t)0x7fe61110, + (q31_t)0x7fe5d0ed, (q31_t)0x7fe5907b, 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(q31_t)0x7aa5214, + (q31_t)0x7a40c76, (q31_t)0x79dc6d3, (q31_t)0x797812b, (q31_t)0x7913b7f, (q31_t)0x78af5ce, (q31_t)0x784b019, (q31_t)0x77e6a5e, + (q31_t)0x77824a0, + (q31_t)0x771dedc, (q31_t)0x76b9914, (q31_t)0x7655347, (q31_t)0x75f0d76, (q31_t)0x758c7a1, (q31_t)0x75281c6, (q31_t)0x74c3be7, + (q31_t)0x745f604, + (q31_t)0x73fb01c, (q31_t)0x7396a30, (q31_t)0x733243f, (q31_t)0x72cde4a, (q31_t)0x7269851, (q31_t)0x7205253, (q31_t)0x71a0c50, + (q31_t)0x713c64a, + (q31_t)0x70d803f, (q31_t)0x7073a2f, (q31_t)0x700f41b, (q31_t)0x6faae03, (q31_t)0x6f467e7, (q31_t)0x6ee21c6, (q31_t)0x6e7dba1, + (q31_t)0x6e19578, + (q31_t)0x6db4f4a, (q31_t)0x6d50919, (q31_t)0x6cec2e3, (q31_t)0x6c87ca9, (q31_t)0x6c2366a, (q31_t)0x6bbf028, (q31_t)0x6b5a9e1, + (q31_t)0x6af6396, + (q31_t)0x6a91d47, (q31_t)0x6a2d6f4, (q31_t)0x69c909d, (q31_t)0x6964a42, (q31_t)0x69003e3, (q31_t)0x689bd80, (q31_t)0x6837718, + (q31_t)0x67d30ad, + (q31_t)0x676ea3d, (q31_t)0x670a3ca, (q31_t)0x66a5d53, (q31_t)0x66416d8, (q31_t)0x65dd058, (q31_t)0x65789d5, (q31_t)0x651434e, + (q31_t)0x64afcc3, + (q31_t)0x644b634, (q31_t)0x63e6fa2, (q31_t)0x638290b, (q31_t)0x631e271, (q31_t)0x62b9bd3, (q31_t)0x6255531, (q31_t)0x61f0e8b, + (q31_t)0x618c7e1, + (q31_t)0x6128134, (q31_t)0x60c3a83, (q31_t)0x605f3ce, (q31_t)0x5ffad15, (q31_t)0x5f96659, (q31_t)0x5f31f99, (q31_t)0x5ecd8d6, + (q31_t)0x5e6920e, + (q31_t)0x5e04b43, (q31_t)0x5da0475, (q31_t)0x5d3bda3, (q31_t)0x5cd76cd, (q31_t)0x5c72ff4, (q31_t)0x5c0e917, (q31_t)0x5baa237, + (q31_t)0x5b45b53, + (q31_t)0x5ae146b, (q31_t)0x5a7cd80, (q31_t)0x5a18692, (q31_t)0x59b3fa0, (q31_t)0x594f8aa, (q31_t)0x58eb1b2, (q31_t)0x5886ab5, + (q31_t)0x58223b6, + (q31_t)0x57bdcb3, (q31_t)0x57595ac, (q31_t)0x56f4ea2, (q31_t)0x5690795, (q31_t)0x562c085, (q31_t)0x55c7971, (q31_t)0x556325a, + (q31_t)0x54feb3f, + (q31_t)0x549a422, (q31_t)0x5435d01, (q31_t)0x53d15dd, (q31_t)0x536ceb5, (q31_t)0x530878a, (q31_t)0x52a405d, (q31_t)0x523f92c, + (q31_t)0x51db1f7, + (q31_t)0x5176ac0, (q31_t)0x5112385, (q31_t)0x50adc48, (q31_t)0x5049507, (q31_t)0x4fe4dc3, (q31_t)0x4f8067c, (q31_t)0x4f1bf32, + (q31_t)0x4eb77e5, + (q31_t)0x4e53095, (q31_t)0x4dee942, (q31_t)0x4d8a1ec, (q31_t)0x4d25a93, (q31_t)0x4cc1337, (q31_t)0x4c5cbd8, (q31_t)0x4bf8476, + (q31_t)0x4b93d11, + (q31_t)0x4b2f5a9, (q31_t)0x4acae3e, (q31_t)0x4a666d1, (q31_t)0x4a01f60, (q31_t)0x499d7ed, (q31_t)0x4939077, (q31_t)0x48d48fe, + (q31_t)0x4870182, + (q31_t)0x480ba04, (q31_t)0x47a7282, (q31_t)0x4742afe, (q31_t)0x46de377, (q31_t)0x4679bee, (q31_t)0x4615461, (q31_t)0x45b0cd2, + (q31_t)0x454c541, + (q31_t)0x44e7dac, (q31_t)0x4483615, (q31_t)0x441ee7c, (q31_t)0x43ba6df, (q31_t)0x4355f40, (q31_t)0x42f179f, (q31_t)0x428cffb, + (q31_t)0x4228854, + (q31_t)0x41c40ab, (q31_t)0x415f8ff, (q31_t)0x40fb151, (q31_t)0x40969a0, (q31_t)0x40321ed, (q31_t)0x3fcda37, (q31_t)0x3f6927f, + (q31_t)0x3f04ac4, + (q31_t)0x3ea0307, (q31_t)0x3e3bb48, (q31_t)0x3dd7386, (q31_t)0x3d72bc2, (q31_t)0x3d0e3fb, (q31_t)0x3ca9c32, (q31_t)0x3c45467, + (q31_t)0x3be0c99, + (q31_t)0x3b7c4c9, (q31_t)0x3b17cf7, (q31_t)0x3ab3523, (q31_t)0x3a4ed4c, (q31_t)0x39ea573, (q31_t)0x3985d97, (q31_t)0x39215ba, + (q31_t)0x38bcdda, + (q31_t)0x38585f8, (q31_t)0x37f3e14, (q31_t)0x378f62e, (q31_t)0x372ae46, (q31_t)0x36c665b, (q31_t)0x3661e6f, (q31_t)0x35fd680, + (q31_t)0x3598e8f, + (q31_t)0x353469c, (q31_t)0x34cfea8, (q31_t)0x346b6b1, (q31_t)0x3406eb8, (q31_t)0x33a26bd, (q31_t)0x333dec0, (q31_t)0x32d96c1, + (q31_t)0x3274ec0, + (q31_t)0x32106bd, (q31_t)0x31abeb9, (q31_t)0x31476b2, (q31_t)0x30e2ea9, (q31_t)0x307e69f, (q31_t)0x3019e93, (q31_t)0x2fb5684, + (q31_t)0x2f50e74, + (q31_t)0x2eec663, (q31_t)0x2e87e4f, (q31_t)0x2e2363a, (q31_t)0x2dbee22, (q31_t)0x2d5a609, (q31_t)0x2cf5def, (q31_t)0x2c915d2, + (q31_t)0x2c2cdb4, + (q31_t)0x2bc8594, (q31_t)0x2b63d73, (q31_t)0x2aff54f, (q31_t)0x2a9ad2a, (q31_t)0x2a36504, (q31_t)0x29d1cdc, (q31_t)0x296d4b2, + (q31_t)0x2908c87, + (q31_t)0x28a445a, (q31_t)0x283fc2b, (q31_t)0x27db3fb, (q31_t)0x2776bc9, (q31_t)0x2712396, (q31_t)0x26adb62, (q31_t)0x264932b, + (q31_t)0x25e4af4, + (q31_t)0x25802bb, (q31_t)0x251ba80, (q31_t)0x24b7244, (q31_t)0x2452a07, (q31_t)0x23ee1c8, (q31_t)0x2389988, (q31_t)0x2325147, + (q31_t)0x22c0904, + (q31_t)0x225c0bf, (q31_t)0x21f787a, (q31_t)0x2193033, (q31_t)0x212e7eb, (q31_t)0x20c9fa1, (q31_t)0x2065757, (q31_t)0x2000f0b, + (q31_t)0x1f9c6be, + (q31_t)0x1f37e6f, (q31_t)0x1ed3620, (q31_t)0x1e6edcf, (q31_t)0x1e0a57d, (q31_t)0x1da5d2a, (q31_t)0x1d414d6, (q31_t)0x1cdcc80, + (q31_t)0x1c7842a, + (q31_t)0x1c13bd2, (q31_t)0x1baf37a, (q31_t)0x1b4ab20, (q31_t)0x1ae62c5, (q31_t)0x1a81a69, (q31_t)0x1a1d20c, (q31_t)0x19b89ae, + (q31_t)0x1954150, + (q31_t)0x18ef8f0, (q31_t)0x188b08f, (q31_t)0x182682d, (q31_t)0x17c1fcb, (q31_t)0x175d767, (q31_t)0x16f8f03, (q31_t)0x169469d, + (q31_t)0x162fe37, + (q31_t)0x15cb5d0, (q31_t)0x1566d68, (q31_t)0x15024ff, (q31_t)0x149dc96, (q31_t)0x143942b, (q31_t)0x13d4bc0, (q31_t)0x1370354, + (q31_t)0x130bae7, + (q31_t)0x12a727a, (q31_t)0x1242a0c, (q31_t)0x11de19d, (q31_t)0x117992e, (q31_t)0x11150be, (q31_t)0x10b084d, (q31_t)0x104bfdb, + (q31_t)0xfe7769, + (q31_t)0xf82ef6, (q31_t)0xf1e683, (q31_t)0xeb9e0f, (q31_t)0xe5559b, (q31_t)0xdf0d26, (q31_t)0xd8c4b0, (q31_t)0xd27c3a, + (q31_t)0xcc33c3, + (q31_t)0xc5eb4c, (q31_t)0xbfa2d5, (q31_t)0xb95a5d, (q31_t)0xb311e4, (q31_t)0xacc96b, (q31_t)0xa680f2, (q31_t)0xa03878, + (q31_t)0x99effe, + (q31_t)0x93a784, (q31_t)0x8d5f09, (q31_t)0x87168e, (q31_t)0x80ce12, (q31_t)0x7a8597, (q31_t)0x743d1a, (q31_t)0x6df49e, + (q31_t)0x67ac21, + (q31_t)0x6163a5, (q31_t)0x5b1b27, (q31_t)0x54d2aa, (q31_t)0x4e8a2c, (q31_t)0x4841af, (q31_t)0x41f931, (q31_t)0x3bb0b3, + (q31_t)0x356835, + (q31_t)0x2f1fb6, (q31_t)0x28d738, (q31_t)0x228eb9, (q31_t)0x1c463b, (q31_t)0x15fdbc, (q31_t)0xfb53d, (q31_t)0x96cbe, (q31_t)0x3243f +}; + +/** + * @} end of DCT4_IDCT4_Table group + */ + +/** + * @addtogroup DCT4_IDCT4 + * @{ + */ + +/** + * @brief Initialization function for the Q31 DCT4/IDCT4. + * @param[in,out] *S points to an instance of Q31 DCT4/IDCT4 structure. + * @param[in] *S_RFFT points to an instance of Q31 RFFT/RIFFT structure + * @param[in] *S_CFFT points to an instance of Q31 CFFT/CIFFT structure + * @param[in] N length of the DCT4. + * @param[in] Nby2 half of the length of the DCT4. + * @param[in] normalize normalizing factor. + * @return arm_status function returns ARM_MATH_SUCCESS if initialization is successful or ARM_MATH_ARGUMENT_ERROR if N is not a supported transform length. + * \par Normalizing factor: + * The normalizing factor is sqrt(2/N), which depends on the size of transform N. + * Normalizing factors in 1.31 format are mentioned in the table below for different DCT sizes: + * \image html dct4NormalizingQ31Table.gif + */ + +arm_status arm_dct4_init_q31( + arm_dct4_instance_q31 * S, + arm_rfft_instance_q31 * S_RFFT, + arm_cfft_radix4_instance_q31 * S_CFFT, + uint16_t N, + uint16_t Nby2, + q31_t normalize) +{ + /* Initialise the default arm status */ + arm_status status = ARM_MATH_SUCCESS; + + /* Initializing the pointer array with the weight table base addresses of different lengths */ + q31_t *twiddlePtr[4] = { (q31_t *) WeightsQ31_128, (q31_t *) WeightsQ31_512, + (q31_t *) WeightsQ31_2048, (q31_t *) WeightsQ31_8192 + }; + + /* Initializing the pointer array with the cos factor table base addresses of different lengths */ + q31_t *pCosFactor[4] = + { (q31_t *) cos_factorsQ31_128, (q31_t *) cos_factorsQ31_512, + (q31_t *) cos_factorsQ31_2048, (q31_t *) cos_factorsQ31_8192 + }; + + /* Initialize the DCT4 length */ + S->N = N; + + /* Initialize the half of DCT4 length */ + S->Nby2 = Nby2; + + /* Initialize the DCT4 Normalizing factor */ + S->normalize = normalize; + + /* Initialize Real FFT Instance */ + S->pRfft = S_RFFT; + + /* Initialize Complex FFT Instance */ + S->pCfft = S_CFFT; + + switch (N) + { + /* Initialize the table modifier values */ + case 8192U: + S->pTwiddle = twiddlePtr[3]; + S->pCosFactor = pCosFactor[3]; + break; + case 2048U: + S->pTwiddle = twiddlePtr[2]; + S->pCosFactor = pCosFactor[2]; + break; + case 512U: + S->pTwiddle = twiddlePtr[1]; + S->pCosFactor = pCosFactor[1]; + break; + case 128U: + S->pTwiddle = twiddlePtr[0]; + S->pCosFactor = pCosFactor[0]; + break; + default: + status = ARM_MATH_ARGUMENT_ERROR; + } + + /* Initialize the RFFT/RIFFT Function */ + arm_rfft_init_q31(S->pRfft, S->N, 0, 1); + + /* return the status of DCT4 Init function */ + return (status); +} + +/** + * @} end of DCT4_IDCT4 group + */ diff --git a/fw/hid-dials/Drivers/CMSIS/DSP/Source/TransformFunctions/arm_dct4_q15.c b/fw/hid-dials/Drivers/CMSIS/DSP/Source/TransformFunctions/arm_dct4_q15.c new file mode 100644 index 0000000..4fd7f6e --- /dev/null +++ b/fw/hid-dials/Drivers/CMSIS/DSP/Source/TransformFunctions/arm_dct4_q15.c @@ -0,0 +1,382 @@ +/* ---------------------------------------------------------------------- + * Project: CMSIS DSP Library + * Title: arm_dct4_q15.c + * Description: Processing function of DCT4 & IDCT4 Q15 + * + * $Date: 27. January 2017 + * $Revision: V.1.5.1 + * + * Target Processor: Cortex-M cores + * -------------------------------------------------------------------- */ +/* + * Copyright (C) 2010-2017 ARM Limited or its affiliates. All rights reserved. + * + * SPDX-License-Identifier: Apache-2.0 + * + * Licensed under the Apache License, Version 2.0 (the License); you may + * not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an AS IS BASIS, WITHOUT + * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ + +#include "arm_math.h" + +/** + * @addtogroup DCT4_IDCT4 + * @{ + */ + +/** + * @brief Processing function for the Q15 DCT4/IDCT4. + * @param[in] *S points to an instance of the Q15 DCT4 structure. + * @param[in] *pState points to state buffer. + * @param[in,out] *pInlineBuffer points to the in-place input and output buffer. + * @return none. + * + * \par Input an output formats: + * Internally inputs are downscaled in the RFFT process function to avoid overflows. + * Number of bits downscaled, depends on the size of the transform. + * The input and output formats for different DCT sizes and number of bits to upscale are mentioned in the table below: + * + * \image html dct4FormatsQ15Table.gif + */ + +void arm_dct4_q15( + const arm_dct4_instance_q15 * S, + q15_t * pState, + q15_t * pInlineBuffer) +{ + uint32_t i; /* Loop counter */ + q15_t *weights = S->pTwiddle; /* Pointer to the Weights table */ + q15_t *cosFact = S->pCosFactor; /* Pointer to the cos factors table */ + q15_t *pS1, *pS2, *pbuff; /* Temporary pointers for input buffer and pState buffer */ + q15_t in; /* Temporary variable */ + + + /* DCT4 computation involves DCT2 (which is calculated using RFFT) + * along with some pre-processing and post-processing. + * Computational procedure is explained as follows: + * (a) Pre-processing involves multiplying input with cos factor, + * r(n) = 2 * u(n) * cos(pi*(2*n+1)/(4*n)) + * where, + * r(n) -- output of preprocessing + * u(n) -- input to preprocessing(actual Source buffer) + * (b) Calculation of DCT2 using FFT is divided into three steps: + * Step1: Re-ordering of even and odd elements of input. + * Step2: Calculating FFT of the re-ordered input. + * Step3: Taking the real part of the product of FFT output and weights. + * (c) Post-processing - DCT4 can be obtained from DCT2 output using the following equation: + * Y4(k) = Y2(k) - Y4(k-1) and Y4(-1) = Y4(0) + * where, + * Y4 -- DCT4 output, Y2 -- DCT2 output + * (d) Multiplying the output with the normalizing factor sqrt(2/N). + */ + + /*-------- Pre-processing ------------*/ + /* Multiplying input with cos factor i.e. r(n) = 2 * x(n) * cos(pi*(2*n+1)/(4*n)) */ + arm_mult_q15(pInlineBuffer, cosFact, pInlineBuffer, S->N); + arm_shift_q15(pInlineBuffer, 1, pInlineBuffer, S->N); + + /* ---------------------------------------------------------------- + * Step1: Re-ordering of even and odd elements as + * pState[i] = pInlineBuffer[2*i] and + * pState[N-i-1] = pInlineBuffer[2*i+1] where i = 0 to N/2 + ---------------------------------------------------------------------*/ + + /* pS1 initialized to pState */ + pS1 = pState; + + /* pS2 initialized to pState+N-1, so that it points to the end of the state buffer */ + pS2 = pState + (S->N - 1U); + + /* pbuff initialized to input buffer */ + pbuff = pInlineBuffer; + + +#if defined (ARM_MATH_DSP) + + /* Run the below code for Cortex-M4 and Cortex-M3 */ + + /* Initializing the loop counter to N/2 >> 2 for loop unrolling by 4 */ + i = (uint32_t) S->Nby2 >> 2U; + + /* First part of the processing with loop unrolling. Compute 4 outputs at a time. + ** a second loop below computes the remaining 1 to 3 samples. */ + do + { + /* Re-ordering of even and odd elements */ + /* pState[i] = pInlineBuffer[2*i] */ + *pS1++ = *pbuff++; + /* pState[N-i-1] = pInlineBuffer[2*i+1] */ + *pS2-- = *pbuff++; + + *pS1++ = *pbuff++; + *pS2-- = *pbuff++; + + *pS1++ = *pbuff++; + *pS2-- = *pbuff++; + + *pS1++ = *pbuff++; + *pS2-- = *pbuff++; + + /* Decrement the loop counter */ + i--; + } while (i > 0U); + + /* pbuff initialized to input buffer */ + pbuff = pInlineBuffer; + + /* pS1 initialized to pState */ + pS1 = pState; + + /* Initializing the loop counter to N/4 instead of N for loop unrolling */ + i = (uint32_t) S->N >> 2U; + + /* Processing with loop unrolling 4 times as N is always multiple of 4. + * Compute 4 outputs at a time */ + do + { + /* Writing the re-ordered output back to inplace input buffer */ + *pbuff++ = *pS1++; + *pbuff++ = *pS1++; + *pbuff++ = *pS1++; + *pbuff++ = *pS1++; + + /* Decrement the loop counter */ + i--; + } while (i > 0U); + + + /* --------------------------------------------------------- + * Step2: Calculate RFFT for N-point input + * ---------------------------------------------------------- */ + /* pInlineBuffer is real input of length N , pState is the complex output of length 2N */ + arm_rfft_q15(S->pRfft, pInlineBuffer, pState); + + /*---------------------------------------------------------------------- + * Step3: Multiply the FFT output with the weights. + *----------------------------------------------------------------------*/ + arm_cmplx_mult_cmplx_q15(pState, weights, pState, S->N); + + /* The output of complex multiplication is in 3.13 format. + * Hence changing the format of N (i.e. 2*N elements) complex numbers to 1.15 format by shifting left by 2 bits. */ + arm_shift_q15(pState, 2, pState, S->N * 2); + + /* ----------- Post-processing ---------- */ + /* DCT-IV can be obtained from DCT-II by the equation, + * Y4(k) = Y2(k) - Y4(k-1) and Y4(-1) = Y4(0) + * Hence, Y4(0) = Y2(0)/2 */ + /* Getting only real part from the output and Converting to DCT-IV */ + + /* Initializing the loop counter to N >> 2 for loop unrolling by 4 */ + i = ((uint32_t) S->N - 1U) >> 2U; + + /* pbuff initialized to input buffer. */ + pbuff = pInlineBuffer; + + /* pS1 initialized to pState */ + pS1 = pState; + + /* Calculating Y4(0) from Y2(0) using Y4(0) = Y2(0)/2 */ + in = *pS1++ >> 1U; + /* input buffer acts as inplace, so output values are stored in the input itself. */ + *pbuff++ = in; + + /* pState pointer is incremented twice as the real values are located alternatively in the array */ + pS1++; + + /* First part of the processing with loop unrolling. Compute 4 outputs at a time. + ** a second loop below computes the remaining 1 to 3 samples. */ + do + { + /* Calculating Y4(1) to Y4(N-1) from Y2 using equation Y4(k) = Y2(k) - Y4(k-1) */ + /* pState pointer (pS1) is incremented twice as the real values are located alternatively in the array */ + in = *pS1++ - in; + *pbuff++ = in; + /* points to the next real value */ + pS1++; + + in = *pS1++ - in; + *pbuff++ = in; + pS1++; + + in = *pS1++ - in; + *pbuff++ = in; + pS1++; + + in = *pS1++ - in; + *pbuff++ = in; + pS1++; + + /* Decrement the loop counter */ + i--; + } while (i > 0U); + + /* If the blockSize is not a multiple of 4, compute any remaining output samples here. + ** No loop unrolling is used. */ + i = ((uint32_t) S->N - 1U) % 0x4U; + + while (i > 0U) + { + /* Calculating Y4(1) to Y4(N-1) from Y2 using equation Y4(k) = Y2(k) - Y4(k-1) */ + /* pState pointer (pS1) is incremented twice as the real values are located alternatively in the array */ + in = *pS1++ - in; + *pbuff++ = in; + /* points to the next real value */ + pS1++; + + /* Decrement the loop counter */ + i--; + } + + + /*------------ Normalizing the output by multiplying with the normalizing factor ----------*/ + + /* Initializing the loop counter to N/4 instead of N for loop unrolling */ + i = (uint32_t) S->N >> 2U; + + /* pbuff initialized to the pInlineBuffer(now contains the output values) */ + pbuff = pInlineBuffer; + + /* Processing with loop unrolling 4 times as N is always multiple of 4. Compute 4 outputs at a time */ + do + { + /* Multiplying pInlineBuffer with the normalizing factor sqrt(2/N) */ + in = *pbuff; + *pbuff++ = ((q15_t) (((q31_t) in * S->normalize) >> 15)); + + in = *pbuff; + *pbuff++ = ((q15_t) (((q31_t) in * S->normalize) >> 15)); + + in = *pbuff; + *pbuff++ = ((q15_t) (((q31_t) in * S->normalize) >> 15)); + + in = *pbuff; + *pbuff++ = ((q15_t) (((q31_t) in * S->normalize) >> 15)); + + /* Decrement the loop counter */ + i--; + } while (i > 0U); + + +#else + + /* Run the below code for Cortex-M0 */ + + /* Initializing the loop counter to N/2 */ + i = (uint32_t) S->Nby2; + + do + { + /* Re-ordering of even and odd elements */ + /* pState[i] = pInlineBuffer[2*i] */ + *pS1++ = *pbuff++; + /* pState[N-i-1] = pInlineBuffer[2*i+1] */ + *pS2-- = *pbuff++; + + /* Decrement the loop counter */ + i--; + } while (i > 0U); + + /* pbuff initialized to input buffer */ + pbuff = pInlineBuffer; + + /* pS1 initialized to pState */ + pS1 = pState; + + /* Initializing the loop counter */ + i = (uint32_t) S->N; + + do + { + /* Writing the re-ordered output back to inplace input buffer */ + *pbuff++ = *pS1++; + + /* Decrement the loop counter */ + i--; + } while (i > 0U); + + + /* --------------------------------------------------------- + * Step2: Calculate RFFT for N-point input + * ---------------------------------------------------------- */ + /* pInlineBuffer is real input of length N , pState is the complex output of length 2N */ + arm_rfft_q15(S->pRfft, pInlineBuffer, pState); + + /*---------------------------------------------------------------------- + * Step3: Multiply the FFT output with the weights. + *----------------------------------------------------------------------*/ + arm_cmplx_mult_cmplx_q15(pState, weights, pState, S->N); + + /* The output of complex multiplication is in 3.13 format. + * Hence changing the format of N (i.e. 2*N elements) complex numbers to 1.15 format by shifting left by 2 bits. */ + arm_shift_q15(pState, 2, pState, S->N * 2); + + /* ----------- Post-processing ---------- */ + /* DCT-IV can be obtained from DCT-II by the equation, + * Y4(k) = Y2(k) - Y4(k-1) and Y4(-1) = Y4(0) + * Hence, Y4(0) = Y2(0)/2 */ + /* Getting only real part from the output and Converting to DCT-IV */ + + /* Initializing the loop counter */ + i = ((uint32_t) S->N - 1U); + + /* pbuff initialized to input buffer. */ + pbuff = pInlineBuffer; + + /* pS1 initialized to pState */ + pS1 = pState; + + /* Calculating Y4(0) from Y2(0) using Y4(0) = Y2(0)/2 */ + in = *pS1++ >> 1U; + /* input buffer acts as inplace, so output values are stored in the input itself. */ + *pbuff++ = in; + + /* pState pointer is incremented twice as the real values are located alternatively in the array */ + pS1++; + + do + { + /* Calculating Y4(1) to Y4(N-1) from Y2 using equation Y4(k) = Y2(k) - Y4(k-1) */ + /* pState pointer (pS1) is incremented twice as the real values are located alternatively in the array */ + in = *pS1++ - in; + *pbuff++ = in; + /* points to the next real value */ + pS1++; + + /* Decrement the loop counter */ + i--; + } while (i > 0U); + + /*------------ Normalizing the output by multiplying with the normalizing factor ----------*/ + + /* Initializing the loop counter */ + i = (uint32_t) S->N; + + /* pbuff initialized to the pInlineBuffer(now contains the output values) */ + pbuff = pInlineBuffer; + + do + { + /* Multiplying pInlineBuffer with the normalizing factor sqrt(2/N) */ + in = *pbuff; + *pbuff++ = ((q15_t) (((q31_t) in * S->normalize) >> 15)); + + /* Decrement the loop counter */ + i--; + } while (i > 0U); + +#endif /* #if defined (ARM_MATH_DSP) */ + +} + +/** + * @} end of DCT4_IDCT4 group + */ diff --git a/fw/hid-dials/Drivers/CMSIS/DSP/Source/TransformFunctions/arm_dct4_q31.c b/fw/hid-dials/Drivers/CMSIS/DSP/Source/TransformFunctions/arm_dct4_q31.c new file mode 100644 index 0000000..7191208 --- /dev/null +++ b/fw/hid-dials/Drivers/CMSIS/DSP/Source/TransformFunctions/arm_dct4_q31.c @@ -0,0 +1,383 @@ +/* ---------------------------------------------------------------------- + * Project: CMSIS DSP Library + * Title: arm_dct4_q31.c + * Description: Processing function of DCT4 & IDCT4 Q31 + * + * $Date: 27. January 2017 + * $Revision: V.1.5.1 + * + * Target Processor: Cortex-M cores + * -------------------------------------------------------------------- */ +/* + * Copyright (C) 2010-2017 ARM Limited or its affiliates. All rights reserved. + * + * SPDX-License-Identifier: Apache-2.0 + * + * Licensed under the Apache License, Version 2.0 (the License); you may + * not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an AS IS BASIS, WITHOUT + * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ + +#include "arm_math.h" + +/** + * @addtogroup DCT4_IDCT4 + * @{ + */ + +/** + * @brief Processing function for the Q31 DCT4/IDCT4. + * @param[in] *S points to an instance of the Q31 DCT4 structure. + * @param[in] *pState points to state buffer. + * @param[in,out] *pInlineBuffer points to the in-place input and output buffer. + * @return none. + * \par Input an output formats: + * Input samples need to be downscaled by 1 bit to avoid saturations in the Q31 DCT process, + * as the conversion from DCT2 to DCT4 involves one subtraction. + * Internally inputs are downscaled in the RFFT process function to avoid overflows. + * Number of bits downscaled, depends on the size of the transform. + * The input and output formats for different DCT sizes and number of bits to upscale are mentioned in the table below: + * + * \image html dct4FormatsQ31Table.gif + */ + +void arm_dct4_q31( + const arm_dct4_instance_q31 * S, + q31_t * pState, + q31_t * pInlineBuffer) +{ + uint16_t i; /* Loop counter */ + q31_t *weights = S->pTwiddle; /* Pointer to the Weights table */ + q31_t *cosFact = S->pCosFactor; /* Pointer to the cos factors table */ + q31_t *pS1, *pS2, *pbuff; /* Temporary pointers for input buffer and pState buffer */ + q31_t in; /* Temporary variable */ + + + /* DCT4 computation involves DCT2 (which is calculated using RFFT) + * along with some pre-processing and post-processing. + * Computational procedure is explained as follows: + * (a) Pre-processing involves multiplying input with cos factor, + * r(n) = 2 * u(n) * cos(pi*(2*n+1)/(4*n)) + * where, + * r(n) -- output of preprocessing + * u(n) -- input to preprocessing(actual Source buffer) + * (b) Calculation of DCT2 using FFT is divided into three steps: + * Step1: Re-ordering of even and odd elements of input. + * Step2: Calculating FFT of the re-ordered input. + * Step3: Taking the real part of the product of FFT output and weights. + * (c) Post-processing - DCT4 can be obtained from DCT2 output using the following equation: + * Y4(k) = Y2(k) - Y4(k-1) and Y4(-1) = Y4(0) + * where, + * Y4 -- DCT4 output, Y2 -- DCT2 output + * (d) Multiplying the output with the normalizing factor sqrt(2/N). + */ + + /*-------- Pre-processing ------------*/ + /* Multiplying input with cos factor i.e. r(n) = 2 * x(n) * cos(pi*(2*n+1)/(4*n)) */ + arm_mult_q31(pInlineBuffer, cosFact, pInlineBuffer, S->N); + arm_shift_q31(pInlineBuffer, 1, pInlineBuffer, S->N); + + /* ---------------------------------------------------------------- + * Step1: Re-ordering of even and odd elements as + * pState[i] = pInlineBuffer[2*i] and + * pState[N-i-1] = pInlineBuffer[2*i+1] where i = 0 to N/2 + ---------------------------------------------------------------------*/ + + /* pS1 initialized to pState */ + pS1 = pState; + + /* pS2 initialized to pState+N-1, so that it points to the end of the state buffer */ + pS2 = pState + (S->N - 1U); + + /* pbuff initialized to input buffer */ + pbuff = pInlineBuffer; + +#if defined (ARM_MATH_DSP) + + /* Run the below code for Cortex-M4 and Cortex-M3 */ + + /* Initializing the loop counter to N/2 >> 2 for loop unrolling by 4 */ + i = S->Nby2 >> 2U; + + /* First part of the processing with loop unrolling. Compute 4 outputs at a time. + ** a second loop below computes the remaining 1 to 3 samples. */ + do + { + /* Re-ordering of even and odd elements */ + /* pState[i] = pInlineBuffer[2*i] */ + *pS1++ = *pbuff++; + /* pState[N-i-1] = pInlineBuffer[2*i+1] */ + *pS2-- = *pbuff++; + + *pS1++ = *pbuff++; + *pS2-- = *pbuff++; + + *pS1++ = *pbuff++; + *pS2-- = *pbuff++; + + *pS1++ = *pbuff++; + *pS2-- = *pbuff++; + + /* Decrement the loop counter */ + i--; + } while (i > 0U); + + /* pbuff initialized to input buffer */ + pbuff = pInlineBuffer; + + /* pS1 initialized to pState */ + pS1 = pState; + + /* Initializing the loop counter to N/4 instead of N for loop unrolling */ + i = S->N >> 2U; + + /* Processing with loop unrolling 4 times as N is always multiple of 4. + * Compute 4 outputs at a time */ + do + { + /* Writing the re-ordered output back to inplace input buffer */ + *pbuff++ = *pS1++; + *pbuff++ = *pS1++; + *pbuff++ = *pS1++; + *pbuff++ = *pS1++; + + /* Decrement the loop counter */ + i--; + } while (i > 0U); + + + /* --------------------------------------------------------- + * Step2: Calculate RFFT for N-point input + * ---------------------------------------------------------- */ + /* pInlineBuffer is real input of length N , pState is the complex output of length 2N */ + arm_rfft_q31(S->pRfft, pInlineBuffer, pState); + + /*---------------------------------------------------------------------- + * Step3: Multiply the FFT output with the weights. + *----------------------------------------------------------------------*/ + arm_cmplx_mult_cmplx_q31(pState, weights, pState, S->N); + + /* The output of complex multiplication is in 3.29 format. + * Hence changing the format of N (i.e. 2*N elements) complex numbers to 1.31 format by shifting left by 2 bits. */ + arm_shift_q31(pState, 2, pState, S->N * 2); + + /* ----------- Post-processing ---------- */ + /* DCT-IV can be obtained from DCT-II by the equation, + * Y4(k) = Y2(k) - Y4(k-1) and Y4(-1) = Y4(0) + * Hence, Y4(0) = Y2(0)/2 */ + /* Getting only real part from the output and Converting to DCT-IV */ + + /* Initializing the loop counter to N >> 2 for loop unrolling by 4 */ + i = (S->N - 1U) >> 2U; + + /* pbuff initialized to input buffer. */ + pbuff = pInlineBuffer; + + /* pS1 initialized to pState */ + pS1 = pState; + + /* Calculating Y4(0) from Y2(0) using Y4(0) = Y2(0)/2 */ + in = *pS1++ >> 1U; + /* input buffer acts as inplace, so output values are stored in the input itself. */ + *pbuff++ = in; + + /* pState pointer is incremented twice as the real values are located alternatively in the array */ + pS1++; + + /* First part of the processing with loop unrolling. Compute 4 outputs at a time. + ** a second loop below computes the remaining 1 to 3 samples. */ + do + { + /* Calculating Y4(1) to Y4(N-1) from Y2 using equation Y4(k) = Y2(k) - Y4(k-1) */ + /* pState pointer (pS1) is incremented twice as the real values are located alternatively in the array */ + in = *pS1++ - in; + *pbuff++ = in; + /* points to the next real value */ + pS1++; + + in = *pS1++ - in; + *pbuff++ = in; + pS1++; + + in = *pS1++ - in; + *pbuff++ = in; + pS1++; + + in = *pS1++ - in; + *pbuff++ = in; + pS1++; + + /* Decrement the loop counter */ + i--; + } while (i > 0U); + + /* If the blockSize is not a multiple of 4, compute any remaining output samples here. + ** No loop unrolling is used. */ + i = (S->N - 1U) % 0x4U; + + while (i > 0U) + { + /* Calculating Y4(1) to Y4(N-1) from Y2 using equation Y4(k) = Y2(k) - Y4(k-1) */ + /* pState pointer (pS1) is incremented twice as the real values are located alternatively in the array */ + in = *pS1++ - in; + *pbuff++ = in; + /* points to the next real value */ + pS1++; + + /* Decrement the loop counter */ + i--; + } + + + /*------------ Normalizing the output by multiplying with the normalizing factor ----------*/ + + /* Initializing the loop counter to N/4 instead of N for loop unrolling */ + i = S->N >> 2U; + + /* pbuff initialized to the pInlineBuffer(now contains the output values) */ + pbuff = pInlineBuffer; + + /* Processing with loop unrolling 4 times as N is always multiple of 4. Compute 4 outputs at a time */ + do + { + /* Multiplying pInlineBuffer with the normalizing factor sqrt(2/N) */ + in = *pbuff; + *pbuff++ = ((q31_t) (((q63_t) in * S->normalize) >> 31)); + + in = *pbuff; + *pbuff++ = ((q31_t) (((q63_t) in * S->normalize) >> 31)); + + in = *pbuff; + *pbuff++ = ((q31_t) (((q63_t) in * S->normalize) >> 31)); + + in = *pbuff; + *pbuff++ = ((q31_t) (((q63_t) in * S->normalize) >> 31)); + + /* Decrement the loop counter */ + i--; + } while (i > 0U); + + +#else + + /* Run the below code for Cortex-M0 */ + + /* Initializing the loop counter to N/2 */ + i = S->Nby2; + + do + { + /* Re-ordering of even and odd elements */ + /* pState[i] = pInlineBuffer[2*i] */ + *pS1++ = *pbuff++; + /* pState[N-i-1] = pInlineBuffer[2*i+1] */ + *pS2-- = *pbuff++; + + /* Decrement the loop counter */ + i--; + } while (i > 0U); + + /* pbuff initialized to input buffer */ + pbuff = pInlineBuffer; + + /* pS1 initialized to pState */ + pS1 = pState; + + /* Initializing the loop counter */ + i = S->N; + + do + { + /* Writing the re-ordered output back to inplace input buffer */ + *pbuff++ = *pS1++; + + /* Decrement the loop counter */ + i--; + } while (i > 0U); + + + /* --------------------------------------------------------- + * Step2: Calculate RFFT for N-point input + * ---------------------------------------------------------- */ + /* pInlineBuffer is real input of length N , pState is the complex output of length 2N */ + arm_rfft_q31(S->pRfft, pInlineBuffer, pState); + + /*---------------------------------------------------------------------- + * Step3: Multiply the FFT output with the weights. + *----------------------------------------------------------------------*/ + arm_cmplx_mult_cmplx_q31(pState, weights, pState, S->N); + + /* The output of complex multiplication is in 3.29 format. + * Hence changing the format of N (i.e. 2*N elements) complex numbers to 1.31 format by shifting left by 2 bits. */ + arm_shift_q31(pState, 2, pState, S->N * 2); + + /* ----------- Post-processing ---------- */ + /* DCT-IV can be obtained from DCT-II by the equation, + * Y4(k) = Y2(k) - Y4(k-1) and Y4(-1) = Y4(0) + * Hence, Y4(0) = Y2(0)/2 */ + /* Getting only real part from the output and Converting to DCT-IV */ + + /* pbuff initialized to input buffer. */ + pbuff = pInlineBuffer; + + /* pS1 initialized to pState */ + pS1 = pState; + + /* Calculating Y4(0) from Y2(0) using Y4(0) = Y2(0)/2 */ + in = *pS1++ >> 1U; + /* input buffer acts as inplace, so output values are stored in the input itself. */ + *pbuff++ = in; + + /* pState pointer is incremented twice as the real values are located alternatively in the array */ + pS1++; + + /* Initializing the loop counter */ + i = (S->N - 1U); + + while (i > 0U) + { + /* Calculating Y4(1) to Y4(N-1) from Y2 using equation Y4(k) = Y2(k) - Y4(k-1) */ + /* pState pointer (pS1) is incremented twice as the real values are located alternatively in the array */ + in = *pS1++ - in; + *pbuff++ = in; + /* points to the next real value */ + pS1++; + + /* Decrement the loop counter */ + i--; + } + + + /*------------ Normalizing the output by multiplying with the normalizing factor ----------*/ + + /* Initializing the loop counter */ + i = S->N; + + /* pbuff initialized to the pInlineBuffer(now contains the output values) */ + pbuff = pInlineBuffer; + + do + { + /* Multiplying pInlineBuffer with the normalizing factor sqrt(2/N) */ + in = *pbuff; + *pbuff++ = ((q31_t) (((q63_t) in * S->normalize) >> 31)); + + /* Decrement the loop counter */ + i--; + } while (i > 0U); + +#endif /* #if defined (ARM_MATH_DSP) */ + +} + +/** + * @} end of DCT4_IDCT4 group + */ diff --git a/fw/hid-dials/Drivers/CMSIS/DSP/Source/TransformFunctions/arm_rfft_f32.c b/fw/hid-dials/Drivers/CMSIS/DSP/Source/TransformFunctions/arm_rfft_f32.c new file mode 100644 index 0000000..16c75eb --- /dev/null +++ b/fw/hid-dials/Drivers/CMSIS/DSP/Source/TransformFunctions/arm_rfft_f32.c @@ -0,0 +1,318 @@ +/* ---------------------------------------------------------------------- + * Project: CMSIS DSP Library + * Title: arm_rfft_f32.c + * Description: RFFT & RIFFT Floating point process function + * + * $Date: 27. January 2017 + * $Revision: V.1.5.1 + * + * Target Processor: Cortex-M cores + * -------------------------------------------------------------------- */ +/* + * Copyright (C) 2010-2017 ARM Limited or its affiliates. All rights reserved. + * + * SPDX-License-Identifier: Apache-2.0 + * + * Licensed under the Apache License, Version 2.0 (the License); you may + * not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an AS IS BASIS, WITHOUT + * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ + +#include "arm_math.h" + +/* ---------------------------------------------------------------------- + * Internal functions prototypes + * -------------------------------------------------------------------- */ + +extern void arm_radix4_butterfly_f32( + float32_t * pSrc, + uint16_t fftLen, + float32_t * pCoef, + uint16_t twidCoefModifier); + +extern void arm_radix4_butterfly_inverse_f32( + float32_t * pSrc, + uint16_t fftLen, + float32_t * pCoef, + uint16_t twidCoefModifier, + float32_t onebyfftLen); + +extern void arm_bitreversal_f32( + float32_t * pSrc, + uint16_t fftSize, + uint16_t bitRevFactor, + uint16_t * pBitRevTab); + +void arm_split_rfft_f32( + float32_t * pSrc, + uint32_t fftLen, + float32_t * pATable, + float32_t * pBTable, + float32_t * pDst, + uint32_t modifier); + +void arm_split_rifft_f32( + float32_t * pSrc, + uint32_t fftLen, + float32_t * pATable, + float32_t * pBTable, + float32_t * pDst, + uint32_t modifier); + +/** +* @ingroup groupTransforms +*/ + +/** + * @addtogroup RealFFT + * @{ + */ + +/** + * @brief Processing function for the floating-point RFFT/RIFFT. + * @deprecated Do not use this function. It has been superceded by \ref arm_rfft_fast_f32 and will be removed + * in the future. + * @param[in] *S points to an instance of the floating-point RFFT/RIFFT structure. + * @param[in] *pSrc points to the input buffer. + * @param[out] *pDst points to the output buffer. + * @return none. + */ + +void arm_rfft_f32( + const arm_rfft_instance_f32 * S, + float32_t * pSrc, + float32_t * pDst) +{ + const arm_cfft_radix4_instance_f32 *S_CFFT = S->pCfft; + + + /* Calculation of Real IFFT of input */ + if (S->ifftFlagR == 1U) + { + /* Real IFFT core process */ + arm_split_rifft_f32(pSrc, S->fftLenBy2, S->pTwiddleAReal, + S->pTwiddleBReal, pDst, S->twidCoefRModifier); + + + /* Complex radix-4 IFFT process */ + arm_radix4_butterfly_inverse_f32(pDst, S_CFFT->fftLen, + S_CFFT->pTwiddle, + S_CFFT->twidCoefModifier, + S_CFFT->onebyfftLen); + + /* Bit reversal process */ + if (S->bitReverseFlagR == 1U) + { + arm_bitreversal_f32(pDst, S_CFFT->fftLen, + S_CFFT->bitRevFactor, S_CFFT->pBitRevTable); + } + } + else + { + + /* Calculation of RFFT of input */ + + /* Complex radix-4 FFT process */ + arm_radix4_butterfly_f32(pSrc, S_CFFT->fftLen, + S_CFFT->pTwiddle, S_CFFT->twidCoefModifier); + + /* Bit reversal process */ + if (S->bitReverseFlagR == 1U) + { + arm_bitreversal_f32(pSrc, S_CFFT->fftLen, + S_CFFT->bitRevFactor, S_CFFT->pBitRevTable); + } + + + /* Real FFT core process */ + arm_split_rfft_f32(pSrc, S->fftLenBy2, S->pTwiddleAReal, + S->pTwiddleBReal, pDst, S->twidCoefRModifier); + } + +} + +/** + * @} end of RealFFT group + */ + +/** + * @brief Core Real FFT process + * @param[in] *pSrc points to the input buffer. + * @param[in] fftLen length of FFT. + * @param[in] *pATable points to the twiddle Coef A buffer. + * @param[in] *pBTable points to the twiddle Coef B buffer. + * @param[out] *pDst points to the output buffer. + * @param[in] modifier twiddle coefficient modifier that supports different size FFTs with the same twiddle factor table. + * @return none. + */ + +void arm_split_rfft_f32( + float32_t * pSrc, + uint32_t fftLen, + float32_t * pATable, + float32_t * pBTable, + float32_t * pDst, + uint32_t modifier) +{ + uint32_t i; /* Loop Counter */ + float32_t outR, outI; /* Temporary variables for output */ + float32_t *pCoefA, *pCoefB; /* Temporary pointers for twiddle factors */ + float32_t CoefA1, CoefA2, CoefB1; /* Temporary variables for twiddle coefficients */ + float32_t *pDst1 = &pDst[2], *pDst2 = &pDst[(4U * fftLen) - 1U]; /* temp pointers for output buffer */ + float32_t *pSrc1 = &pSrc[2], *pSrc2 = &pSrc[(2U * fftLen) - 1U]; /* temp pointers for input buffer */ + + /* Init coefficient pointers */ + pCoefA = &pATable[modifier * 2U]; + pCoefB = &pBTable[modifier * 2U]; + + i = fftLen - 1U; + + while (i > 0U) + { + /* + outR = (pSrc[2 * i] * pATable[2 * i] - pSrc[2 * i + 1] * pATable[2 * i + 1] + + pSrc[2 * n - 2 * i] * pBTable[2 * i] + + pSrc[2 * n - 2 * i + 1] * pBTable[2 * i + 1]); + */ + + /* outI = (pIn[2 * i + 1] * pATable[2 * i] + pIn[2 * i] * pATable[2 * i + 1] + + pIn[2 * n - 2 * i] * pBTable[2 * i + 1] - + pIn[2 * n - 2 * i + 1] * pBTable[2 * i]); */ + + /* read pATable[2 * i] */ + CoefA1 = *pCoefA++; + /* pATable[2 * i + 1] */ + CoefA2 = *pCoefA; + + /* pSrc[2 * i] * pATable[2 * i] */ + outR = *pSrc1 * CoefA1; + /* pSrc[2 * i] * CoefA2 */ + outI = *pSrc1++ * CoefA2; + + /* (pSrc[2 * i + 1] + pSrc[2 * fftLen - 2 * i + 1]) * CoefA2 */ + outR -= (*pSrc1 + *pSrc2) * CoefA2; + /* pSrc[2 * i + 1] * CoefA1 */ + outI += *pSrc1++ * CoefA1; + + CoefB1 = *pCoefB; + + /* pSrc[2 * fftLen - 2 * i + 1] * CoefB1 */ + outI -= *pSrc2-- * CoefB1; + /* pSrc[2 * fftLen - 2 * i] * CoefA2 */ + outI -= *pSrc2 * CoefA2; + + /* pSrc[2 * fftLen - 2 * i] * CoefB1 */ + outR += *pSrc2-- * CoefB1; + + /* write output */ + *pDst1++ = outR; + *pDst1++ = outI; + + /* write complex conjugate output */ + *pDst2-- = -outI; + *pDst2-- = outR; + + /* update coefficient pointer */ + pCoefB = pCoefB + (modifier * 2U); + pCoefA = pCoefA + ((modifier * 2U) - 1U); + + i--; + + } + + pDst[2U * fftLen] = pSrc[0] - pSrc[1]; + pDst[(2U * fftLen) + 1U] = 0.0f; + + pDst[0] = pSrc[0] + pSrc[1]; + pDst[1] = 0.0f; + +} + + +/** + * @brief Core Real IFFT process + * @param[in] *pSrc points to the input buffer. + * @param[in] fftLen length of FFT. + * @param[in] *pATable points to the twiddle Coef A buffer. + * @param[in] *pBTable points to the twiddle Coef B buffer. + * @param[out] *pDst points to the output buffer. + * @param[in] modifier twiddle coefficient modifier that supports different size FFTs with the same twiddle factor table. + * @return none. + */ + +void arm_split_rifft_f32( + float32_t * pSrc, + uint32_t fftLen, + float32_t * pATable, + float32_t * pBTable, + float32_t * pDst, + uint32_t modifier) +{ + float32_t outR, outI; /* Temporary variables for output */ + float32_t *pCoefA, *pCoefB; /* Temporary pointers for twiddle factors */ + float32_t CoefA1, CoefA2, CoefB1; /* Temporary variables for twiddle coefficients */ + float32_t *pSrc1 = &pSrc[0], *pSrc2 = &pSrc[(2U * fftLen) + 1U]; + + pCoefA = &pATable[0]; + pCoefB = &pBTable[0]; + + while (fftLen > 0U) + { + /* + outR = (pIn[2 * i] * pATable[2 * i] + pIn[2 * i + 1] * pATable[2 * i + 1] + + pIn[2 * n - 2 * i] * pBTable[2 * i] - + pIn[2 * n - 2 * i + 1] * pBTable[2 * i + 1]); + + outI = (pIn[2 * i + 1] * pATable[2 * i] - pIn[2 * i] * pATable[2 * i + 1] - + pIn[2 * n - 2 * i] * pBTable[2 * i + 1] - + pIn[2 * n - 2 * i + 1] * pBTable[2 * i]); + + */ + + CoefA1 = *pCoefA++; + CoefA2 = *pCoefA; + + /* outR = (pSrc[2 * i] * CoefA1 */ + outR = *pSrc1 * CoefA1; + + /* - pSrc[2 * i] * CoefA2 */ + outI = -(*pSrc1++) * CoefA2; + + /* (pSrc[2 * i + 1] + pSrc[2 * fftLen - 2 * i + 1]) * CoefA2 */ + outR += (*pSrc1 + *pSrc2) * CoefA2; + + /* pSrc[2 * i + 1] * CoefA1 */ + outI += (*pSrc1++) * CoefA1; + + CoefB1 = *pCoefB; + + /* - pSrc[2 * fftLen - 2 * i + 1] * CoefB1 */ + outI -= *pSrc2-- * CoefB1; + + /* pSrc[2 * fftLen - 2 * i] * CoefB1 */ + outR += *pSrc2 * CoefB1; + + /* pSrc[2 * fftLen - 2 * i] * CoefA2 */ + outI += *pSrc2-- * CoefA2; + + /* write output */ + *pDst++ = outR; + *pDst++ = outI; + + /* update coefficient pointer */ + pCoefB = pCoefB + (modifier * 2U); + pCoefA = pCoefA + ((modifier * 2U) - 1U); + + /* Decrement loop count */ + fftLen--; + } + +} diff --git a/fw/hid-dials/Drivers/CMSIS/DSP/Source/TransformFunctions/arm_rfft_fast_f32.c b/fw/hid-dials/Drivers/CMSIS/DSP/Source/TransformFunctions/arm_rfft_fast_f32.c new file mode 100644 index 0000000..08e06e0 --- /dev/null +++ b/fw/hid-dials/Drivers/CMSIS/DSP/Source/TransformFunctions/arm_rfft_fast_f32.c @@ -0,0 +1,317 @@ +/* ---------------------------------------------------------------------- + * Project: CMSIS DSP Library + * Title: arm_rfft_f32.c + * Description: RFFT & RIFFT Floating point process function + * + * $Date: 27. January 2017 + * $Revision: V.1.5.1 + * + * Target Processor: Cortex-M cores + * -------------------------------------------------------------------- */ +/* + * Copyright (C) 2010-2017 ARM Limited or its affiliates. All rights reserved. + * + * SPDX-License-Identifier: Apache-2.0 + * + * Licensed under the Apache License, Version 2.0 (the License); you may + * not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an AS IS BASIS, WITHOUT + * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ + +#include "arm_math.h" + +void stage_rfft_f32( + arm_rfft_fast_instance_f32 * S, + float32_t * p, float32_t * pOut) +{ + uint32_t k; /* Loop Counter */ + float32_t twR, twI; /* RFFT Twiddle coefficients */ + float32_t * pCoeff = S->pTwiddleRFFT; /* Points to RFFT Twiddle factors */ + float32_t *pA = p; /* increasing pointer */ + float32_t *pB = p; /* decreasing pointer */ + float32_t xAR, xAI, xBR, xBI; /* temporary variables */ + float32_t t1a, t1b; /* temporary variables */ + float32_t p0, p1, p2, p3; /* temporary variables */ + + + k = (S->Sint).fftLen - 1; + + /* Pack first and last sample of the frequency domain together */ + + xBR = pB[0]; + xBI = pB[1]; + xAR = pA[0]; + xAI = pA[1]; + + twR = *pCoeff++ ; + twI = *pCoeff++ ; + + // U1 = XA(1) + XB(1); % It is real + t1a = xBR + xAR ; + + // U2 = XB(1) - XA(1); % It is imaginary + t1b = xBI + xAI ; + + // real(tw * (xB - xA)) = twR * (xBR - xAR) - twI * (xBI - xAI); + // imag(tw * (xB - xA)) = twI * (xBR - xAR) + twR * (xBI - xAI); + *pOut++ = 0.5f * ( t1a + t1b ); + *pOut++ = 0.5f * ( t1a - t1b ); + + // XA(1) = 1/2*( U1 - imag(U2) + i*( U1 +imag(U2) )); + pB = p + 2*k; + pA += 2; + + do + { + /* + function X = my_split_rfft(X, ifftFlag) + % X is a series of real numbers + L = length(X); + XC = X(1:2:end) +i*X(2:2:end); + XA = fft(XC); + XB = conj(XA([1 end:-1:2])); + TW = i*exp(-2*pi*i*[0:L/2-1]/L).'; + for l = 2:L/2 + XA(l) = 1/2 * (XA(l) + XB(l) + TW(l) * (XB(l) - XA(l))); + end + XA(1) = 1/2* (XA(1) + XB(1) + TW(1) * (XB(1) - XA(1))) + i*( 1/2*( XA(1) + XB(1) + i*( XA(1) - XB(1)))); + X = XA; + */ + + xBI = pB[1]; + xBR = pB[0]; + xAR = pA[0]; + xAI = pA[1]; + + twR = *pCoeff++; + twI = *pCoeff++; + + t1a = xBR - xAR ; + t1b = xBI + xAI ; + + // real(tw * (xB - xA)) = twR * (xBR - xAR) - twI * (xBI - xAI); + // imag(tw * (xB - xA)) = twI * (xBR - xAR) + twR * (xBI - xAI); + p0 = twR * t1a; + p1 = twI * t1a; + p2 = twR * t1b; + p3 = twI * t1b; + + *pOut++ = 0.5f * (xAR + xBR + p0 + p3 ); //xAR + *pOut++ = 0.5f * (xAI - xBI + p1 - p2 ); //xAI + + pA += 2; + pB -= 2; + k--; + } while (k > 0U); +} + +/* Prepares data for inverse cfft */ +void merge_rfft_f32( +arm_rfft_fast_instance_f32 * S, +float32_t * p, float32_t * pOut) +{ + uint32_t k; /* Loop Counter */ + float32_t twR, twI; /* RFFT Twiddle coefficients */ + float32_t *pCoeff = S->pTwiddleRFFT; /* Points to RFFT Twiddle factors */ + float32_t *pA = p; /* increasing pointer */ + float32_t *pB = p; /* decreasing pointer */ + float32_t xAR, xAI, xBR, xBI; /* temporary variables */ + float32_t t1a, t1b, r, s, t, u; /* temporary variables */ + + k = (S->Sint).fftLen - 1; + + xAR = pA[0]; + xAI = pA[1]; + + pCoeff += 2 ; + + *pOut++ = 0.5f * ( xAR + xAI ); + *pOut++ = 0.5f * ( xAR - xAI ); + + pB = p + 2*k ; + pA += 2 ; + + while (k > 0U) + { + /* G is half of the frequency complex spectrum */ + //for k = 2:N + // Xk(k) = 1/2 * (G(k) + conj(G(N-k+2)) + Tw(k)*( G(k) - conj(G(N-k+2)))); + xBI = pB[1] ; + xBR = pB[0] ; + xAR = pA[0]; + xAI = pA[1]; + + twR = *pCoeff++; + twI = *pCoeff++; + + t1a = xAR - xBR ; + t1b = xAI + xBI ; + + r = twR * t1a; + s = twI * t1b; + t = twI * t1a; + u = twR * t1b; + + // real(tw * (xA - xB)) = twR * (xAR - xBR) - twI * (xAI - xBI); + // imag(tw * (xA - xB)) = twI * (xAR - xBR) + twR * (xAI - xBI); + *pOut++ = 0.5f * (xAR + xBR - r - s ); //xAR + *pOut++ = 0.5f * (xAI - xBI + t - u ); //xAI + + pA += 2; + pB -= 2; + k--; + } + +} + +/** +* @ingroup groupTransforms +*/ + +/** + * @defgroup RealFFT Real FFT Functions + * + * \par + * The CMSIS DSP library includes specialized algorithms for computing the + * FFT of real data sequences. The FFT is defined over complex data but + * in many applications the input is real. Real FFT algorithms take advantage + * of the symmetry properties of the FFT and have a speed advantage over complex + * algorithms of the same length. + * \par + * The Fast RFFT algorith relays on the mixed radix CFFT that save processor usage. + * \par + * The real length N forward FFT of a sequence is computed using the steps shown below. + * \par + * \image html RFFT.gif "Real Fast Fourier Transform" + * \par + * The real sequence is initially treated as if it were complex to perform a CFFT. + * Later, a processing stage reshapes the data to obtain half of the frequency spectrum + * in complex format. Except the first complex number that contains the two real numbers + * X[0] and X[N/2] all the data is complex. In other words, the first complex sample + * contains two real values packed. + * \par + * The input for the inverse RFFT should keep the same format as the output of the + * forward RFFT. A first processing stage pre-process the data to later perform an + * inverse CFFT. + * \par + * \image html RIFFT.gif "Real Inverse Fast Fourier Transform" + * \par + * The algorithms for floating-point, Q15, and Q31 data are slightly different + * and we describe each algorithm in turn. + * \par Floating-point + * The main functions are arm_rfft_fast_f32() and arm_rfft_fast_init_f32(). + * The older functions arm_rfft_f32() and arm_rfft_init_f32() have been + * deprecated but are still documented. + * \par + * The FFT of a real N-point sequence has even symmetry in the frequency + * domain. The second half of the data equals the conjugate of the first + * half flipped in frequency. Looking at the data, we see that we can + * uniquely represent the FFT using only N/2 complex numbers. These are + * packed into the output array in alternating real and imaginary + * components: + * \par + * X = { real[0], imag[0], real[1], imag[1], real[2], imag[2] ... + * real[(N/2)-1], imag[(N/2)-1 } + * \par + * It happens that the first complex number (real[0], imag[0]) is actually + * all real. real[0] represents the DC offset, and imag[0] should be 0. + * (real[1], imag[1]) is the fundamental frequency, (real[2], imag[2]) is + * the first harmonic and so on. + * \par + * The real FFT functions pack the frequency domain data in this fashion. + * The forward transform outputs the data in this form and the inverse + * transform expects input data in this form. The function always performs + * the needed bitreversal so that the input and output data is always in + * normal order. The functions support lengths of [32, 64, 128, ..., 4096] + * samples. + * \par Q15 and Q31 + * The real algorithms are defined in a similar manner and utilize N/2 complex + * transforms behind the scenes. + * \par + * The complex transforms used internally include scaling to prevent fixed-point + * overflows. The overall scaling equals 1/(fftLen/2). + * \par + * A separate instance structure must be defined for each transform used but + * twiddle factor and bit reversal tables can be reused. + * \par + * There is also an associated initialization function for each data type. + * The initialization function performs the following operations: + * - Sets the values of the internal structure fields. + * - Initializes twiddle factor table and bit reversal table pointers. + * - Initializes the internal complex FFT data structure. + * \par + * Use of the initialization function is optional. + * However, if the initialization function is used, then the instance structure + * cannot be placed into a const data section. To place an instance structure + * into a const data section, the instance structure should be manually + * initialized as follows: + *
+ *arm_rfft_instance_q31 S = {fftLenReal, fftLenBy2, ifftFlagR, bitReverseFlagR, twidCoefRModifier, pTwiddleAReal, pTwiddleBReal, pCfft};
+ *arm_rfft_instance_q15 S = {fftLenReal, fftLenBy2, ifftFlagR, bitReverseFlagR, twidCoefRModifier, pTwiddleAReal, pTwiddleBReal, pCfft};
+ * 
+ * where fftLenReal is the length of the real transform; + * fftLenBy2 length of the internal complex transform. + * ifftFlagR Selects forward (=0) or inverse (=1) transform. + * bitReverseFlagR Selects bit reversed output (=0) or normal order + * output (=1). + * twidCoefRModifier stride modifier for the twiddle factor table. + * The value is based on the FFT length; + * pTwiddleARealpoints to the A array of twiddle coefficients; + * pTwiddleBRealpoints to the B array of twiddle coefficients; + * pCfft points to the CFFT Instance structure. The CFFT structure + * must also be initialized. Refer to arm_cfft_radix4_f32() for details regarding + * static initialization of the complex FFT instance structure. + */ + +/** +* @addtogroup RealFFT +* @{ +*/ + +/** +* @brief Processing function for the floating-point real FFT. +* @param[in] *S points to an arm_rfft_fast_instance_f32 structure. +* @param[in] *p points to the input buffer. +* @param[in] *pOut points to the output buffer. +* @param[in] ifftFlag RFFT if flag is 0, RIFFT if flag is 1 +* @return none. +*/ + +void arm_rfft_fast_f32( +arm_rfft_fast_instance_f32 * S, +float32_t * p, float32_t * pOut, +uint8_t ifftFlag) +{ + arm_cfft_instance_f32 * Sint = &(S->Sint); + Sint->fftLen = S->fftLenRFFT / 2; + + /* Calculation of Real FFT */ + if (ifftFlag) + { + /* Real FFT compression */ + merge_rfft_f32(S, p, pOut); + + /* Complex radix-4 IFFT process */ + arm_cfft_f32( Sint, pOut, ifftFlag, 1); + } + else + { + /* Calculation of RFFT of input */ + arm_cfft_f32( Sint, p, ifftFlag, 1); + + /* Real FFT extraction */ + stage_rfft_f32(S, p, pOut); + } +} + +/** +* @} end of RealFFT group +*/ diff --git a/fw/hid-dials/Drivers/CMSIS/DSP/Source/TransformFunctions/arm_rfft_fast_init_f32.c b/fw/hid-dials/Drivers/CMSIS/DSP/Source/TransformFunctions/arm_rfft_fast_init_f32.c new file mode 100644 index 0000000..6f6c2f9 --- /dev/null +++ b/fw/hid-dials/Drivers/CMSIS/DSP/Source/TransformFunctions/arm_rfft_fast_init_f32.c @@ -0,0 +1,131 @@ +/* ---------------------------------------------------------------------- + * Project: CMSIS DSP Library + * Title: arm_cfft_init_f32.c + * Description: Split Radix Decimation in Frequency CFFT Floating point processing function + * + * $Date: 27. January 2017 + * $Revision: V.1.5.1 + * + * Target Processor: Cortex-M cores + * -------------------------------------------------------------------- */ +/* + * Copyright (C) 2010-2017 ARM Limited or its affiliates. All rights reserved. + * + * SPDX-License-Identifier: Apache-2.0 + * + * Licensed under the Apache License, Version 2.0 (the License); you may + * not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an AS IS BASIS, WITHOUT + * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ + +#include "arm_math.h" +#include "arm_common_tables.h" + +/** + * @ingroup groupTransforms + */ + +/** + * @addtogroup RealFFT + * @{ + */ + +/** +* @brief Initialization function for the floating-point real FFT. +* @param[in,out] *S points to an arm_rfft_fast_instance_f32 structure. +* @param[in] fftLen length of the Real Sequence. +* @return The function returns ARM_MATH_SUCCESS if initialization is successful or ARM_MATH_ARGUMENT_ERROR if fftLen is not a supported value. +* +* \par Description: +* \par +* The parameter fftLen Specifies length of RFFT/CIFFT process. Supported FFT Lengths are 32, 64, 128, 256, 512, 1024, 2048, 4096. +* \par +* This Function also initializes Twiddle factor table pointer and Bit reversal table pointer. +*/ +arm_status arm_rfft_fast_init_f32( + arm_rfft_fast_instance_f32 * S, + uint16_t fftLen) +{ + arm_cfft_instance_f32 * Sint; + /* Initialise the default arm status */ + arm_status status = ARM_MATH_SUCCESS; + /* Initialise the FFT length */ + Sint = &(S->Sint); + Sint->fftLen = fftLen/2; + S->fftLenRFFT = fftLen; + + /* Initializations of structure parameters depending on the FFT length */ + switch (Sint->fftLen) + { + case 2048U: + /* Initializations of structure parameters for 2048 point FFT */ + /* Initialise the bit reversal table length */ + Sint->bitRevLength = ARMBITREVINDEXTABLE_2048_TABLE_LENGTH; + /* Initialise the bit reversal table pointer */ + Sint->pBitRevTable = (uint16_t *)armBitRevIndexTable2048; + /* Initialise the Twiddle coefficient pointers */ + Sint->pTwiddle = (float32_t *) twiddleCoef_2048; + S->pTwiddleRFFT = (float32_t *) twiddleCoef_rfft_4096; + break; + case 1024U: + Sint->bitRevLength = ARMBITREVINDEXTABLE_1024_TABLE_LENGTH; + Sint->pBitRevTable = (uint16_t *)armBitRevIndexTable1024; + Sint->pTwiddle = (float32_t *) twiddleCoef_1024; + S->pTwiddleRFFT = (float32_t *) twiddleCoef_rfft_2048; + break; + case 512U: + Sint->bitRevLength = ARMBITREVINDEXTABLE_512_TABLE_LENGTH; + Sint->pBitRevTable = (uint16_t *)armBitRevIndexTable512; + Sint->pTwiddle = (float32_t *) twiddleCoef_512; + S->pTwiddleRFFT = (float32_t *) twiddleCoef_rfft_1024; + break; + case 256U: + Sint->bitRevLength = ARMBITREVINDEXTABLE_256_TABLE_LENGTH; + Sint->pBitRevTable = (uint16_t *)armBitRevIndexTable256; + Sint->pTwiddle = (float32_t *) twiddleCoef_256; + S->pTwiddleRFFT = (float32_t *) twiddleCoef_rfft_512; + break; + case 128U: + Sint->bitRevLength = ARMBITREVINDEXTABLE_128_TABLE_LENGTH; + Sint->pBitRevTable = (uint16_t *)armBitRevIndexTable128; + Sint->pTwiddle = (float32_t *) twiddleCoef_128; + S->pTwiddleRFFT = (float32_t *) twiddleCoef_rfft_256; + break; + case 64U: + Sint->bitRevLength = ARMBITREVINDEXTABLE_64_TABLE_LENGTH; + Sint->pBitRevTable = (uint16_t *)armBitRevIndexTable64; + Sint->pTwiddle = (float32_t *) twiddleCoef_64; + S->pTwiddleRFFT = (float32_t *) twiddleCoef_rfft_128; + break; + case 32U: + Sint->bitRevLength = ARMBITREVINDEXTABLE_32_TABLE_LENGTH; + Sint->pBitRevTable = (uint16_t *)armBitRevIndexTable32; + Sint->pTwiddle = (float32_t *) twiddleCoef_32; + S->pTwiddleRFFT = (float32_t *) twiddleCoef_rfft_64; + break; + case 16U: + Sint->bitRevLength = ARMBITREVINDEXTABLE_16_TABLE_LENGTH; + Sint->pBitRevTable = (uint16_t *)armBitRevIndexTable16; + Sint->pTwiddle = (float32_t *) twiddleCoef_16; + S->pTwiddleRFFT = (float32_t *) twiddleCoef_rfft_32; + break; + default: + /* Reporting argument error if fftSize is not valid value */ + status = ARM_MATH_ARGUMENT_ERROR; + break; + } + + return (status); +} + +/** + * @} end of RealFFT group + */ diff --git a/fw/hid-dials/Drivers/CMSIS/DSP/Source/TransformFunctions/arm_rfft_init_f32.c b/fw/hid-dials/Drivers/CMSIS/DSP/Source/TransformFunctions/arm_rfft_init_f32.c new file mode 100644 index 0000000..fd02e41 --- /dev/null +++ b/fw/hid-dials/Drivers/CMSIS/DSP/Source/TransformFunctions/arm_rfft_init_f32.c @@ -0,0 +1,4273 @@ +/* ---------------------------------------------------------------------- + * Project: CMSIS DSP Library + * Title: arm_rfft_init_f32.c + * Description: RFFT & RIFFT Floating point initialisation function + * + * $Date: 27. January 2017 + * $Revision: V.1.5.1 + * + * Target Processor: Cortex-M cores + * -------------------------------------------------------------------- */ +/* + * Copyright (C) 2010-2017 ARM Limited or its affiliates. All rights reserved. + * + * SPDX-License-Identifier: Apache-2.0 + * + * Licensed under the Apache License, Version 2.0 (the License); you may + * not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an AS IS BASIS, WITHOUT + * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ + +#include "arm_math.h" + +/** + * @ingroup RealFFT + */ + +/** + * @addtogroup RealFFT_Table Real FFT Tables + * @{ + */ + +/** +* \par +* Generation of realCoefA array: +* \par +* n = 4096 +*
for (i = 0; i < n; i++)
+*  {
+*    pATable[2 * i] = 0.5 * (1.0 - sin (2 * PI / (double) (2 * n) * (double) i));
+*    pATable[2 * i + 1] = 0.5 * (-1.0 * cos (2 * PI / (double) (2 * n) * (double) i));
+*  } 
+*/ +static const float32_t realCoefA[8192] = { + 0.500000000000000f, -0.500000000000000f, 0.499616503715515f, -0.499999850988388f, + 0.499233007431030f, -0.499999403953552f, 0.498849511146545f, -0.499998688697815f, + 0.498466014862061f, -0.499997645616531f, 0.498082518577576f, -0.499996334314346f, + 0.497699022293091f, -0.499994695186615f, 0.497315555810928f, -0.499992787837982f, + 0.496932059526443f, -0.499990582466125f, 0.496548563241959f, -0.499988079071045f, + 0.496165096759796f, -0.499985307455063f, 0.495781600475311f, -0.499982208013535f, + 0.495398133993149f, -0.499978810548782f, 0.495014637708664f, -0.499975144863129f, + 0.494631171226501f, -0.499971181154251f, 0.494247704744339f, -0.499966919422150f, + 0.493864238262177f, -0.499962359666824f, 0.493480771780014f, -0.499957501888275f, + 0.493097305297852f, -0.499952346086502f, 0.492713838815689f, -0.499946922063828f, + 0.492330402135849f, -0.499941170215607f, 0.491946935653687f, -0.499935150146484f, + 0.491563498973846f, -0.499928832054138f, 0.491180062294006f, -0.499922215938568f, + 0.490796625614166f, -0.499915301799774f, 0.490413218736649f, -0.499908089637756f, + 0.490029782056808f, -0.499900579452515f, 0.489646375179291f, -0.499892801046371f, + 0.489262968301773f, -0.499884694814682f, 0.488879561424255f, -0.499876320362091f, + 0.488496154546738f, -0.499867647886276f, 0.488112777471542f, -0.499858677387238f, + 0.487729400396347f, -0.499849408864975f, 0.487346023321152f, -0.499839842319489f, + 0.486962646245956f, -0.499830007553101f, 0.486579269170761f, -0.499819844961166f, + 0.486195921897888f, -0.499809414148331f, 0.485812574625015f, -0.499798685312271f, + 0.485429257154465f, -0.499787658452988f, 0.485045909881592f, -0.499776333570480f, + 0.484662592411041f, -0.499764710664749f, 0.484279274940491f, -0.499752789735794f, + 0.483895987272263f, -0.499740600585938f, 0.483512699604034f, -0.499728083610535f, + 0.483129411935806f, -0.499715298414230f, 0.482746154069901f, -0.499702215194702f, + 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-0.499299973249435f, + 0.473168224096298f, -0.499279528856277f, 0.472785294055939f, -0.499258816242218f, + 0.472402364015579f, -0.499237775802612f, 0.472019463777542f, -0.499216467142105f, + 0.471636593341827f, -0.499194860458374f, 0.471253722906113f, -0.499172955751419f, + 0.470870882272720f, -0.499150782823563f, 0.470488041639328f, -0.499128282070160f, + 0.470105201005936f, -0.499105513095856f, 0.469722419977188f, -0.499082416296005f, + 0.469339638948441f, -0.499059051275253f, 0.468956857919693f, -0.499035388231277f, + 0.468574106693268f, -0.499011427164078f, 0.468191385269165f, -0.498987197875977f, + 0.467808693647385f, -0.498962640762329f, 0.467426002025604f, -0.498937815427780f, + 0.467043310403824f, -0.498912662267685f, 0.466660678386688f, -0.498887240886688f, + 0.466278046369553f, -0.498861521482468f, 0.465895414352417f, -0.498835533857346f, + 0.465512841939926f, -0.498809218406677f, 0.465130269527435f, -0.498782604932785f, + 0.464747726917267f, -0.498755723237991f, 0.464365184307098f, -0.498728543519974f, + 0.463982671499252f, -0.498701065778732f, 0.463600188493729f, -0.498673290014267f, + 0.463217705488205f, -0.498645216226578f, 0.462835282087326f, -0.498616874217987f, + 0.462452858686447f, -0.498588204383850f, 0.462070435285568f, -0.498559266328812f, + 0.461688071489334f, -0.498530030250549f, 0.461305707693100f, -0.498500496149063f, + 0.460923373699188f, -0.498470664024353f, 0.460541069507599f, -0.498440563678741f, + 0.460158795118332f, -0.498410135507584f, 0.459776520729065f, -0.498379439115524f, + 0.459394276142120f, -0.498348444700241f, 0.459012061357498f, -0.498317152261734f, + 0.458629876375198f, -0.498285561800003f, 0.458247691392899f, -0.498253703117371f, + 0.457865566015244f, -0.498221516609192f, 0.457483440637589f, -0.498189061880112f, + 0.457101345062256f, -0.498156309127808f, 0.456719279289246f, -0.498123258352280f, + 0.456337243318558f, -0.498089909553528f, 0.455955207347870f, -0.498056292533875f, + 0.455573230981827f, 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0.498937815427780f, + 0.467808693647385f, 0.498962640762329f, 0.468191385269165f, 0.498987197875977f, + 0.468574106693268f, 0.499011427164078f, 0.468956857919693f, 0.499035388231277f, + 0.469339638948441f, 0.499059051275253f, 0.469722419977188f, 0.499082416296005f, + 0.470105201005936f, 0.499105513095856f, 0.470488041639328f, 0.499128282070160f, + 0.470870882272720f, 0.499150782823563f, 0.471253722906113f, 0.499172955751419f, + 0.471636593341827f, 0.499194860458374f, 0.472019463777542f, 0.499216467142105f, + 0.472402364015579f, 0.499237775802612f, 0.472785294055939f, 0.499258816242218f, + 0.473168224096298f, 0.499279528856277f, 0.473551183938980f, 0.499299973249435f, + 0.473934143781662f, 0.499320119619370f, 0.474317133426666f, 0.499339967966080f, + 0.474700123071671f, 0.499359518289566f, 0.475083142518997f, 0.499378770589828f, + 0.475466161966324f, 0.499397724866867f, 0.475849211215973f, 0.499416410923004f, + 0.476232260465622f, 0.499434769153595f, 0.476615339517593f, 0.499452859163284f, + 0.476998418569565f, 0.499470651149750f, 0.477381497621536f, 0.499488145112991f, + 0.477764606475830f, 0.499505341053009f, 0.478147745132446f, 0.499522238969803f, + 0.478530883789063f, 0.499538868665695f, 0.478914022445679f, 0.499555170536041f, + 0.479297190904617f, 0.499571204185486f, 0.479680359363556f, 0.499586939811707f, + 0.480063527822495f, 0.499602377414703f, 0.480446726083755f, 0.499617516994476f, + 0.480829954147339f, 0.499632388353348f, 0.481213152408600f, 0.499646931886673f, + 0.481596380472183f, 0.499661177396774f, 0.481979638338089f, 0.499675154685974f, + 0.482362866401672f, 0.499688833951950f, 0.482746154069901f, 0.499702215194702f, + 0.483129411935806f, 0.499715298414230f, 0.483512699604034f, 0.499728083610535f, + 0.483895987272263f, 0.499740600585938f, 0.484279274940491f, 0.499752789735794f, + 0.484662592411041f, 0.499764710664749f, 0.485045909881592f, 0.499776333570480f, + 0.485429257154465f, 0.499787658452988f, 0.485812574625015f, 0.499798685312271f, + 0.486195921897888f, 0.499809414148331f, 0.486579269170761f, 0.499819844961166f, + 0.486962646245956f, 0.499830007553101f, 0.487346023321152f, 0.499839842319489f, + 0.487729400396347f, 0.499849408864975f, 0.488112777471542f, 0.499858677387238f, + 0.488496154546738f, 0.499867647886276f, 0.488879561424255f, 0.499876320362091f, + 0.489262968301773f, 0.499884694814682f, 0.489646375179291f, 0.499892801046371f, + 0.490029782056808f, 0.499900579452515f, 0.490413218736649f, 0.499908089637756f, + 0.490796625614166f, 0.499915301799774f, 0.491180062294006f, 0.499922215938568f, + 0.491563498973846f, 0.499928832054138f, 0.491946935653687f, 0.499935150146484f, + 0.492330402135849f, 0.499941170215607f, 0.492713838815689f, 0.499946922063828f, + 0.493097305297852f, 0.499952346086502f, 0.493480771780014f, 0.499957501888275f, + 0.493864238262177f, 0.499962359666824f, 0.494247704744339f, 0.499966919422150f, + 0.494631171226501f, 0.499971181154251f, 0.495014637708664f, 0.499975144863129f, + 0.495398133993149f, 0.499978810548782f, 0.495781600475311f, 0.499982208013535f, + 0.496165096759796f, 0.499985307455063f, 0.496548563241959f, 0.499988079071045f, + 0.496932059526443f, 0.499990582466125f, 0.497315555810928f, 0.499992787837982f, + 0.497699022293091f, 0.499994695186615f, 0.498082518577576f, 0.499996334314346f, + 0.498466014862061f, 0.499997645616531f, 0.498849511146545f, 0.499998688697815f, + 0.499233007431030f, 0.499999403953552f, 0.499616503715515f, 0.499999850988388f, +}; + + +/** +* \par +* Generation of realCoefB array: +* \par +* n = 4096 +*
for (i = 0; i < n; i++)
+* {
+*    pBTable[2 * i] = 0.5 * (1.0 + sin (2 * PI / (double) (2 * n) * (double) i));
+*    pBTable[2 * i + 1] = 0.5 * (1.0 * cos (2 * PI / (double) (2 * n) * (double) i));
+*  } 
+* +*/ +static const float32_t realCoefB[8192] = { + 0.500000000000000f, 0.500000000000000f, 0.500383496284485f, 0.499999850988388f, + 0.500766992568970f, 0.499999403953552f, 0.501150488853455f, 0.499998688697815f, + 0.501533985137939f, 0.499997645616531f, 0.501917481422424f, 0.499996334314346f, + 0.502300977706909f, 0.499994695186615f, 0.502684473991394f, 0.499992787837982f, + 0.503067970275879f, 0.499990582466125f, 0.503451406955719f, 0.499988079071045f, + 0.503834903240204f, 0.499985307455063f, 0.504218399524689f, 0.499982208013535f, + 0.504601895809174f, 0.499978810548782f, 0.504985332489014f, 0.499975144863129f, + 0.505368828773499f, 0.499971181154251f, 0.505752325057983f, 0.499966919422150f, + 0.506135761737823f, 0.499962359666824f, 0.506519258022308f, 0.499957501888275f, + 0.506902694702148f, 0.499952346086502f, 0.507286131381989f, 0.499946922063828f, + 0.507669627666473f, 0.499941170215607f, 0.508053064346313f, 0.499935150146484f, + 0.508436501026154f, 0.499928832054138f, 0.508819937705994f, 0.499922215938568f, + 0.509203374385834f, 0.499915301799774f, 0.509586811065674f, 0.499908089637756f, + 0.509970188140869f, 0.499900579452515f, 0.510353624820709f, 0.499892801046371f, + 0.510737061500549f, 0.499884694814682f, 0.511120438575745f, 0.499876320362091f, + 0.511503815650940f, 0.499867647886276f, 0.511887252330780f, 0.499858677387238f, + 0.512270629405975f, 0.499849408864975f, 0.512654006481171f, 0.499839842319489f, + 0.513037383556366f, 0.499830007553101f, 0.513420701026917f, 0.499819844961166f, + 0.513804078102112f, 0.499809414148331f, 0.514187395572662f, 0.499798685312271f, + 0.514570772647858f, 0.499787658452988f, 0.514954090118408f, 0.499776333570480f, + 0.515337407588959f, 0.499764710664749f, 0.515720725059509f, 0.499752789735794f, + 0.516103982925415f, 0.499740600585938f, 0.516487300395966f, 0.499728083610535f, + 0.516870558261871f, 0.499715298414230f, 0.517253875732422f, 0.499702215194702f, + 0.517637133598328f, 0.499688833951950f, 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-0.499809414148331f, 0.513420701026917f, -0.499819844961166f, + 0.513037383556366f, -0.499830007553101f, 0.512654006481171f, -0.499839842319489f, + 0.512270629405975f, -0.499849408864975f, 0.511887252330780f, -0.499858677387238f, + 0.511503815650940f, -0.499867647886276f, 0.511120438575745f, -0.499876320362091f, + 0.510737061500549f, -0.499884694814682f, 0.510353624820709f, -0.499892801046371f, + 0.509970188140869f, -0.499900579452515f, 0.509586811065674f, -0.499908089637756f, + 0.509203374385834f, -0.499915301799774f, 0.508819937705994f, -0.499922215938568f, + 0.508436501026154f, -0.499928832054138f, 0.508053064346313f, -0.499935150146484f, + 0.507669627666473f, -0.499941170215607f, 0.507286131381989f, -0.499946922063828f, + 0.506902694702148f, -0.499952346086502f, 0.506519258022308f, -0.499957501888275f, + 0.506135761737823f, -0.499962359666824f, 0.505752325057983f, -0.499966919422150f, + 0.505368828773499f, -0.499971181154251f, 0.504985332489014f, -0.499975144863129f, + 0.504601895809174f, -0.499978810548782f, 0.504218399524689f, -0.499982208013535f, + 0.503834903240204f, -0.499985307455063f, 0.503451406955719f, -0.499988079071045f, + 0.503067970275879f, -0.499990582466125f, 0.502684473991394f, -0.499992787837982f, + 0.502300977706909f, -0.499994695186615f, 0.501917481422424f, -0.499996334314346f, + 0.501533985137939f, -0.499997645616531f, 0.501150488853455f, -0.499998688697815f, + 0.500766992568970f, -0.499999403953552f, 0.500383496284485f, -0.499999850988388f, +}; + + + +/** +* @brief Initialization function for the floating-point RFFT/RIFFT. +* @deprecated Do not use this function. It has been superceded by \ref arm_rfft_fast_init_f32 and will be removed +* in the future. +* @param[in,out] *S points to an instance of the floating-point RFFT/RIFFT structure. +* @param[in,out] *S_CFFT points to an instance of the floating-point CFFT/CIFFT structure. +* @param[in] fftLenReal length of the FFT. +* @param[in] ifftFlagR flag that selects forward (ifftFlagR=0) or inverse (ifftFlagR=1) transform. +* @param[in] bitReverseFlag flag that enables (bitReverseFlag=1) or disables (bitReverseFlag=0) bit reversal of output. +* @return The function returns ARM_MATH_SUCCESS if initialization is successful or ARM_MATH_ARGUMENT_ERROR if fftLenReal is not a supported value. +* +* \par Description: +* \par +* The parameter fftLenReal Specifies length of RFFT/RIFFT Process. Supported FFT Lengths are 128, 512, 2048. +* \par +* The parameter ifftFlagR controls whether a forward or inverse transform is computed. +* Set(=1) ifftFlagR to calculate RIFFT, otherwise RFFT is calculated. +* \par +* The parameter bitReverseFlag controls whether output is in normal order or bit reversed order. +* Set(=1) bitReverseFlag for output to be in normal order otherwise output is in bit reversed order. +* \par +* This function also initializes Twiddle factor table. +*/ + +/** +* @} end of RealFFT_Table group +*/ + +/** +* @addtogroup RealFFT +* @{ +*/ + +arm_status arm_rfft_init_f32( + arm_rfft_instance_f32 * S, + arm_cfft_radix4_instance_f32 * S_CFFT, + uint32_t fftLenReal, + uint32_t ifftFlagR, + uint32_t bitReverseFlag) +{ + + /* Initialise the default arm status */ + arm_status status = ARM_MATH_SUCCESS; + + /* Initialize the Real FFT length */ + S->fftLenReal = (uint16_t) fftLenReal; + + /* Initialize the Complex FFT length */ + S->fftLenBy2 = (uint16_t) fftLenReal / 2U; + + /* Initialize the Twiddle coefficientA pointer */ + S->pTwiddleAReal = (float32_t *) realCoefA; + + /* Initialize the Twiddle coefficientB pointer */ + S->pTwiddleBReal = (float32_t *) realCoefB; + + /* Initialize the Flag for selection of RFFT or RIFFT */ + S->ifftFlagR = (uint8_t) ifftFlagR; + + /* Initialize the Flag for calculation Bit reversal or not */ + S->bitReverseFlagR = (uint8_t) bitReverseFlag; + + /* Initializations of structure parameters depending on the FFT length */ + switch (S->fftLenReal) + { + /* Init table modifier value */ + case 8192U: + S->twidCoefRModifier = 1U; + break; + case 2048U: + S->twidCoefRModifier = 4U; + break; + case 512U: + S->twidCoefRModifier = 16U; + break; + case 128U: + S->twidCoefRModifier = 64U; + break; + default: + /* Reporting argument error if rfftSize is not valid value */ + status = ARM_MATH_ARGUMENT_ERROR; + break; + } + + /* Init Complex FFT Instance */ + S->pCfft = S_CFFT; + + if (S->ifftFlagR) + { + /* Initializes the CIFFT Module for fftLenreal/2 length */ + arm_cfft_radix4_init_f32(S->pCfft, S->fftLenBy2, 1U, 0U); + } + else + { + /* Initializes the CFFT Module for fftLenreal/2 length */ + arm_cfft_radix4_init_f32(S->pCfft, S->fftLenBy2, 0U, 0U); + } + + /* return the status of RFFT Init function */ + return (status); + +} + + /** + * @} end of RealFFT group + */ diff --git a/fw/hid-dials/Drivers/CMSIS/DSP/Source/TransformFunctions/arm_rfft_init_q15.c b/fw/hid-dials/Drivers/CMSIS/DSP/Source/TransformFunctions/arm_rfft_init_q15.c new file mode 100644 index 0000000..3d1f229 --- /dev/null +++ b/fw/hid-dials/Drivers/CMSIS/DSP/Source/TransformFunctions/arm_rfft_init_q15.c @@ -0,0 +1,2229 @@ +/* ---------------------------------------------------------------------- + * Project: CMSIS DSP Library + * Title: arm_rfft_init_q15.c + * Description: RFFT & RIFFT Q15 initialisation function + * + * $Date: 27. January 2017 + * $Revision: V.1.5.1 + * + * Target Processor: Cortex-M cores + * -------------------------------------------------------------------- */ +/* + * Copyright (C) 2010-2017 ARM Limited or its affiliates. All rights reserved. + * + * SPDX-License-Identifier: Apache-2.0 + * + * Licensed under the Apache License, Version 2.0 (the License); you may + * not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an AS IS BASIS, WITHOUT + * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ + +#include "arm_math.h" +#include "arm_common_tables.h" +#include "arm_const_structs.h" + +/** +* @ingroup RealFFT +*/ + +/** + * @addtogroup RealFFT_Table Real FFT Tables +* @{ +*/ + +/** +* \par +* Generation fixed-point realCoefAQ15 array in Q15 format: +* \par +* n = 4096 +*
for (i = 0; i < n; i++)
+*  {
+*    pATable[2 * i] = 0.5 * (1.0 - sin (2 * PI / (double) (2 * n) * (double) i));
+*    pATable[2 * i + 1] = 0.5 * (-1.0 * cos (2 * PI / (double) (2 * n) * (double) i));
+*  } 
+* \par +* Convert to fixed point Q15 format +* round(pATable[i] * pow(2, 15)) +*/ +const q15_t ALIGN4 realCoefAQ15[8192] = { + (q15_t)0x4000, (q15_t)0xc000, (q15_t)0x3ff3, (q15_t)0xc000, (q15_t)0x3fe7, (q15_t)0xc000, (q15_t)0x3fda, (q15_t)0xc000, + (q15_t)0x3fce, (q15_t)0xc000, (q15_t)0x3fc1, (q15_t)0xc000, (q15_t)0x3fb5, (q15_t)0xc000, (q15_t)0x3fa8, (q15_t)0xc000, + (q15_t)0x3f9b, (q15_t)0xc000, (q15_t)0x3f8f, (q15_t)0xc000, (q15_t)0x3f82, (q15_t)0xc000, (q15_t)0x3f76, (q15_t)0xc001, + (q15_t)0x3f69, (q15_t)0xc001, (q15_t)0x3f5d, (q15_t)0xc001, (q15_t)0x3f50, (q15_t)0xc001, (q15_t)0x3f44, (q15_t)0xc001, + (q15_t)0x3f37, (q15_t)0xc001, (q15_t)0x3f2a, (q15_t)0xc001, (q15_t)0x3f1e, (q15_t)0xc002, (q15_t)0x3f11, (q15_t)0xc002, + (q15_t)0x3f05, (q15_t)0xc002, (q15_t)0x3ef8, (q15_t)0xc002, (q15_t)0x3eec, (q15_t)0xc002, (q15_t)0x3edf, (q15_t)0xc003, + (q15_t)0x3ed2, (q15_t)0xc003, (q15_t)0x3ec6, (q15_t)0xc003, (q15_t)0x3eb9, (q15_t)0xc003, (q15_t)0x3ead, (q15_t)0xc004, + (q15_t)0x3ea0, (q15_t)0xc004, (q15_t)0x3e94, (q15_t)0xc004, (q15_t)0x3e87, (q15_t)0xc004, (q15_t)0x3e7a, (q15_t)0xc005, + (q15_t)0x3e6e, (q15_t)0xc005, (q15_t)0x3e61, (q15_t)0xc005, (q15_t)0x3e55, (q15_t)0xc006, (q15_t)0x3e48, (q15_t)0xc006, + (q15_t)0x3e3c, (q15_t)0xc006, (q15_t)0x3e2f, (q15_t)0xc007, (q15_t)0x3e23, (q15_t)0xc007, (q15_t)0x3e16, (q15_t)0xc007, + (q15_t)0x3e09, (q15_t)0xc008, (q15_t)0x3dfd, (q15_t)0xc008, (q15_t)0x3df0, (q15_t)0xc009, (q15_t)0x3de4, (q15_t)0xc009, + (q15_t)0x3dd7, (q15_t)0xc009, (q15_t)0x3dcb, (q15_t)0xc00a, (q15_t)0x3dbe, (q15_t)0xc00a, (q15_t)0x3db2, (q15_t)0xc00b, + (q15_t)0x3da5, (q15_t)0xc00b, (q15_t)0x3d98, (q15_t)0xc00c, (q15_t)0x3d8c, (q15_t)0xc00c, (q15_t)0x3d7f, (q15_t)0xc00d, + (q15_t)0x3d73, (q15_t)0xc00d, (q15_t)0x3d66, (q15_t)0xc00e, (q15_t)0x3d5a, (q15_t)0xc00e, (q15_t)0x3d4d, (q15_t)0xc00f, + (q15_t)0x3d40, (q15_t)0xc00f, (q15_t)0x3d34, (q15_t)0xc010, (q15_t)0x3d27, (q15_t)0xc010, (q15_t)0x3d1b, (q15_t)0xc011, + (q15_t)0x3d0e, (q15_t)0xc011, (q15_t)0x3d02, (q15_t)0xc012, (q15_t)0x3cf5, (q15_t)0xc013, (q15_t)0x3ce9, (q15_t)0xc013, + (q15_t)0x3cdc, (q15_t)0xc014, (q15_t)0x3cd0, (q15_t)0xc014, (q15_t)0x3cc3, (q15_t)0xc015, (q15_t)0x3cb6, (q15_t)0xc016, + (q15_t)0x3caa, (q15_t)0xc016, (q15_t)0x3c9d, (q15_t)0xc017, (q15_t)0x3c91, (q15_t)0xc018, (q15_t)0x3c84, (q15_t)0xc018, + (q15_t)0x3c78, (q15_t)0xc019, (q15_t)0x3c6b, (q15_t)0xc01a, (q15_t)0x3c5f, (q15_t)0xc01a, (q15_t)0x3c52, (q15_t)0xc01b, + (q15_t)0x3c45, (q15_t)0xc01c, (q15_t)0x3c39, (q15_t)0xc01d, (q15_t)0x3c2c, (q15_t)0xc01d, (q15_t)0x3c20, (q15_t)0xc01e, + (q15_t)0x3c13, (q15_t)0xc01f, (q15_t)0x3c07, (q15_t)0xc020, (q15_t)0x3bfa, (q15_t)0xc020, (q15_t)0x3bee, (q15_t)0xc021, + (q15_t)0x3be1, (q15_t)0xc022, (q15_t)0x3bd5, (q15_t)0xc023, (q15_t)0x3bc8, (q15_t)0xc024, (q15_t)0x3bbc, (q15_t)0xc024, + (q15_t)0x3baf, (q15_t)0xc025, (q15_t)0x3ba2, (q15_t)0xc026, (q15_t)0x3b96, (q15_t)0xc027, (q15_t)0x3b89, (q15_t)0xc028, + (q15_t)0x3b7d, (q15_t)0xc029, (q15_t)0x3b70, (q15_t)0xc02a, (q15_t)0x3b64, (q15_t)0xc02b, (q15_t)0x3b57, (q15_t)0xc02b, + (q15_t)0x3b4b, (q15_t)0xc02c, (q15_t)0x3b3e, (q15_t)0xc02d, (q15_t)0x3b32, (q15_t)0xc02e, (q15_t)0x3b25, (q15_t)0xc02f, + (q15_t)0x3b19, (q15_t)0xc030, (q15_t)0x3b0c, (q15_t)0xc031, (q15_t)0x3b00, (q15_t)0xc032, (q15_t)0x3af3, (q15_t)0xc033, + (q15_t)0x3ae6, (q15_t)0xc034, (q15_t)0x3ada, (q15_t)0xc035, (q15_t)0x3acd, (q15_t)0xc036, (q15_t)0x3ac1, (q15_t)0xc037, + (q15_t)0x3ab4, (q15_t)0xc038, (q15_t)0x3aa8, (q15_t)0xc039, (q15_t)0x3a9b, (q15_t)0xc03a, (q15_t)0x3a8f, (q15_t)0xc03b, + (q15_t)0x3a82, (q15_t)0xc03c, (q15_t)0x3a76, (q15_t)0xc03d, (q15_t)0x3a69, (q15_t)0xc03f, (q15_t)0x3a5d, (q15_t)0xc040, + (q15_t)0x3a50, (q15_t)0xc041, (q15_t)0x3a44, (q15_t)0xc042, (q15_t)0x3a37, (q15_t)0xc043, (q15_t)0x3a2b, (q15_t)0xc044, + (q15_t)0x3a1e, (q15_t)0xc045, (q15_t)0x3a12, (q15_t)0xc047, (q15_t)0x3a05, (q15_t)0xc048, (q15_t)0x39f9, (q15_t)0xc049, + (q15_t)0x39ec, (q15_t)0xc04a, (q15_t)0x39e0, (q15_t)0xc04b, (q15_t)0x39d3, (q15_t)0xc04c, (q15_t)0x39c7, (q15_t)0xc04e, + (q15_t)0x39ba, (q15_t)0xc04f, (q15_t)0x39ae, (q15_t)0xc050, (q15_t)0x39a1, (q15_t)0xc051, (q15_t)0x3995, (q15_t)0xc053, + (q15_t)0x3988, (q15_t)0xc054, (q15_t)0x397c, (q15_t)0xc055, (q15_t)0x396f, (q15_t)0xc056, (q15_t)0x3963, (q15_t)0xc058, + (q15_t)0x3956, (q15_t)0xc059, (q15_t)0x394a, (q15_t)0xc05a, (q15_t)0x393d, (q15_t)0xc05c, (q15_t)0x3931, (q15_t)0xc05d, + (q15_t)0x3924, (q15_t)0xc05e, (q15_t)0x3918, (q15_t)0xc060, (q15_t)0x390b, (q15_t)0xc061, (q15_t)0x38ff, (q15_t)0xc062, + (q15_t)0x38f2, (q15_t)0xc064, (q15_t)0x38e6, (q15_t)0xc065, (q15_t)0x38d9, (q15_t)0xc067, (q15_t)0x38cd, (q15_t)0xc068, + (q15_t)0x38c0, (q15_t)0xc069, (q15_t)0x38b4, (q15_t)0xc06b, (q15_t)0x38a7, (q15_t)0xc06c, (q15_t)0x389b, (q15_t)0xc06e, + (q15_t)0x388e, (q15_t)0xc06f, (q15_t)0x3882, (q15_t)0xc071, (q15_t)0x3875, (q15_t)0xc072, (q15_t)0x3869, (q15_t)0xc074, + (q15_t)0x385c, (q15_t)0xc075, (q15_t)0x3850, (q15_t)0xc077, (q15_t)0x3843, (q15_t)0xc078, (q15_t)0x3837, (q15_t)0xc07a, + (q15_t)0x382a, (q15_t)0xc07b, (q15_t)0x381e, (q15_t)0xc07d, (q15_t)0x3811, (q15_t)0xc07e, (q15_t)0x3805, (q15_t)0xc080, + (q15_t)0x37f9, (q15_t)0xc081, (q15_t)0x37ec, (q15_t)0xc083, (q15_t)0x37e0, (q15_t)0xc085, (q15_t)0x37d3, (q15_t)0xc086, + (q15_t)0x37c7, (q15_t)0xc088, (q15_t)0x37ba, (q15_t)0xc089, (q15_t)0x37ae, (q15_t)0xc08b, (q15_t)0x37a1, (q15_t)0xc08d, + (q15_t)0x3795, (q15_t)0xc08e, (q15_t)0x3788, (q15_t)0xc090, (q15_t)0x377c, (q15_t)0xc092, (q15_t)0x376f, (q15_t)0xc093, + (q15_t)0x3763, (q15_t)0xc095, (q15_t)0x3757, (q15_t)0xc097, (q15_t)0x374a, (q15_t)0xc098, (q15_t)0x373e, (q15_t)0xc09a, + (q15_t)0x3731, (q15_t)0xc09c, (q15_t)0x3725, (q15_t)0xc09e, (q15_t)0x3718, (q15_t)0xc09f, (q15_t)0x370c, (q15_t)0xc0a1, + (q15_t)0x36ff, (q15_t)0xc0a3, (q15_t)0x36f3, (q15_t)0xc0a5, (q15_t)0x36e7, (q15_t)0xc0a6, (q15_t)0x36da, (q15_t)0xc0a8, + (q15_t)0x36ce, (q15_t)0xc0aa, (q15_t)0x36c1, (q15_t)0xc0ac, (q15_t)0x36b5, (q15_t)0xc0ae, (q15_t)0x36a8, (q15_t)0xc0af, + (q15_t)0x369c, (q15_t)0xc0b1, (q15_t)0x3690, (q15_t)0xc0b3, (q15_t)0x3683, (q15_t)0xc0b5, (q15_t)0x3677, (q15_t)0xc0b7, + (q15_t)0x366a, (q15_t)0xc0b9, (q15_t)0x365e, (q15_t)0xc0bb, (q15_t)0x3651, (q15_t)0xc0bd, (q15_t)0x3645, (q15_t)0xc0be, + (q15_t)0x3639, (q15_t)0xc0c0, (q15_t)0x362c, (q15_t)0xc0c2, (q15_t)0x3620, (q15_t)0xc0c4, (q15_t)0x3613, (q15_t)0xc0c6, + (q15_t)0x3607, (q15_t)0xc0c8, (q15_t)0x35fa, (q15_t)0xc0ca, (q15_t)0x35ee, (q15_t)0xc0cc, (q15_t)0x35e2, (q15_t)0xc0ce, + (q15_t)0x35d5, (q15_t)0xc0d0, (q15_t)0x35c9, (q15_t)0xc0d2, (q15_t)0x35bc, (q15_t)0xc0d4, (q15_t)0x35b0, (q15_t)0xc0d6, + (q15_t)0x35a4, (q15_t)0xc0d8, (q15_t)0x3597, (q15_t)0xc0da, (q15_t)0x358b, (q15_t)0xc0dc, (q15_t)0x357e, (q15_t)0xc0de, + (q15_t)0x3572, (q15_t)0xc0e0, (q15_t)0x3566, (q15_t)0xc0e2, (q15_t)0x3559, (q15_t)0xc0e4, (q15_t)0x354d, (q15_t)0xc0e7, + (q15_t)0x3540, (q15_t)0xc0e9, (q15_t)0x3534, (q15_t)0xc0eb, (q15_t)0x3528, (q15_t)0xc0ed, (q15_t)0x351b, (q15_t)0xc0ef, + (q15_t)0x350f, (q15_t)0xc0f1, (q15_t)0x3503, (q15_t)0xc0f3, (q15_t)0x34f6, (q15_t)0xc0f6, (q15_t)0x34ea, (q15_t)0xc0f8, + (q15_t)0x34dd, (q15_t)0xc0fa, (q15_t)0x34d1, (q15_t)0xc0fc, (q15_t)0x34c5, (q15_t)0xc0fe, (q15_t)0x34b8, (q15_t)0xc100, + (q15_t)0x34ac, (q15_t)0xc103, (q15_t)0x34a0, (q15_t)0xc105, (q15_t)0x3493, (q15_t)0xc107, (q15_t)0x3487, (q15_t)0xc109, + (q15_t)0x347b, (q15_t)0xc10c, (q15_t)0x346e, (q15_t)0xc10e, (q15_t)0x3462, (q15_t)0xc110, (q15_t)0x3455, (q15_t)0xc113, + (q15_t)0x3449, (q15_t)0xc115, (q15_t)0x343d, (q15_t)0xc117, (q15_t)0x3430, (q15_t)0xc119, (q15_t)0x3424, (q15_t)0xc11c, + (q15_t)0x3418, (q15_t)0xc11e, (q15_t)0x340b, (q15_t)0xc120, (q15_t)0x33ff, (q15_t)0xc123, (q15_t)0x33f3, (q15_t)0xc125, + (q15_t)0x33e6, (q15_t)0xc128, (q15_t)0x33da, (q15_t)0xc12a, (q15_t)0x33ce, (q15_t)0xc12c, (q15_t)0x33c1, (q15_t)0xc12f, + (q15_t)0x33b5, (q15_t)0xc131, (q15_t)0x33a9, (q15_t)0xc134, (q15_t)0x339c, (q15_t)0xc136, (q15_t)0x3390, (q15_t)0xc138, + (q15_t)0x3384, (q15_t)0xc13b, (q15_t)0x3377, (q15_t)0xc13d, (q15_t)0x336b, (q15_t)0xc140, (q15_t)0x335f, (q15_t)0xc142, + (q15_t)0x3352, (q15_t)0xc145, (q15_t)0x3346, (q15_t)0xc147, (q15_t)0x333a, (q15_t)0xc14a, (q15_t)0x332d, (q15_t)0xc14c, + (q15_t)0x3321, (q15_t)0xc14f, (q15_t)0x3315, (q15_t)0xc151, (q15_t)0x3308, (q15_t)0xc154, (q15_t)0x32fc, (q15_t)0xc156, + (q15_t)0x32f0, (q15_t)0xc159, (q15_t)0x32e4, (q15_t)0xc15b, (q15_t)0x32d7, (q15_t)0xc15e, (q15_t)0x32cb, (q15_t)0xc161, + (q15_t)0x32bf, (q15_t)0xc163, (q15_t)0x32b2, (q15_t)0xc166, (q15_t)0x32a6, (q15_t)0xc168, (q15_t)0x329a, (q15_t)0xc16b, + (q15_t)0x328e, (q15_t)0xc16e, (q15_t)0x3281, (q15_t)0xc170, (q15_t)0x3275, (q15_t)0xc173, (q15_t)0x3269, (q15_t)0xc176, + (q15_t)0x325c, (q15_t)0xc178, (q15_t)0x3250, (q15_t)0xc17b, (q15_t)0x3244, (q15_t)0xc17e, (q15_t)0x3238, (q15_t)0xc180, + (q15_t)0x322b, (q15_t)0xc183, (q15_t)0x321f, (q15_t)0xc186, (q15_t)0x3213, (q15_t)0xc189, (q15_t)0x3207, (q15_t)0xc18b, + (q15_t)0x31fa, (q15_t)0xc18e, (q15_t)0x31ee, (q15_t)0xc191, (q15_t)0x31e2, (q15_t)0xc194, (q15_t)0x31d5, (q15_t)0xc196, + (q15_t)0x31c9, (q15_t)0xc199, (q15_t)0x31bd, (q15_t)0xc19c, (q15_t)0x31b1, (q15_t)0xc19f, (q15_t)0x31a4, (q15_t)0xc1a2, + (q15_t)0x3198, (q15_t)0xc1a4, (q15_t)0x318c, (q15_t)0xc1a7, (q15_t)0x3180, (q15_t)0xc1aa, (q15_t)0x3174, (q15_t)0xc1ad, + (q15_t)0x3167, (q15_t)0xc1b0, (q15_t)0x315b, (q15_t)0xc1b3, (q15_t)0x314f, (q15_t)0xc1b6, (q15_t)0x3143, (q15_t)0xc1b8, + (q15_t)0x3136, (q15_t)0xc1bb, (q15_t)0x312a, (q15_t)0xc1be, (q15_t)0x311e, (q15_t)0xc1c1, (q15_t)0x3112, (q15_t)0xc1c4, + (q15_t)0x3105, (q15_t)0xc1c7, (q15_t)0x30f9, (q15_t)0xc1ca, (q15_t)0x30ed, (q15_t)0xc1cd, (q15_t)0x30e1, (q15_t)0xc1d0, + (q15_t)0x30d5, (q15_t)0xc1d3, (q15_t)0x30c8, (q15_t)0xc1d6, (q15_t)0x30bc, (q15_t)0xc1d9, (q15_t)0x30b0, (q15_t)0xc1dc, + (q15_t)0x30a4, (q15_t)0xc1df, (q15_t)0x3098, (q15_t)0xc1e2, (q15_t)0x308b, (q15_t)0xc1e5, (q15_t)0x307f, (q15_t)0xc1e8, + (q15_t)0x3073, (q15_t)0xc1eb, (q15_t)0x3067, (q15_t)0xc1ee, (q15_t)0x305b, (q15_t)0xc1f1, (q15_t)0x304e, (q15_t)0xc1f4, + (q15_t)0x3042, (q15_t)0xc1f7, (q15_t)0x3036, (q15_t)0xc1fa, (q15_t)0x302a, (q15_t)0xc1fd, (q15_t)0x301e, (q15_t)0xc201, + (q15_t)0x3012, (q15_t)0xc204, (q15_t)0x3005, (q15_t)0xc207, (q15_t)0x2ff9, (q15_t)0xc20a, (q15_t)0x2fed, (q15_t)0xc20d, + (q15_t)0x2fe1, (q15_t)0xc210, (q15_t)0x2fd5, (q15_t)0xc213, (q15_t)0x2fc9, (q15_t)0xc217, (q15_t)0x2fbc, (q15_t)0xc21a, + (q15_t)0x2fb0, (q15_t)0xc21d, (q15_t)0x2fa4, (q15_t)0xc220, (q15_t)0x2f98, (q15_t)0xc223, (q15_t)0x2f8c, (q15_t)0xc227, + (q15_t)0x2f80, (q15_t)0xc22a, (q15_t)0x2f74, (q15_t)0xc22d, (q15_t)0x2f67, (q15_t)0xc230, (q15_t)0x2f5b, (q15_t)0xc234, + (q15_t)0x2f4f, (q15_t)0xc237, (q15_t)0x2f43, (q15_t)0xc23a, (q15_t)0x2f37, (q15_t)0xc23e, (q15_t)0x2f2b, (q15_t)0xc241, + (q15_t)0x2f1f, (q15_t)0xc244, (q15_t)0x2f13, (q15_t)0xc247, (q15_t)0x2f06, (q15_t)0xc24b, (q15_t)0x2efa, (q15_t)0xc24e, + (q15_t)0x2eee, (q15_t)0xc251, (q15_t)0x2ee2, 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(q15_t)0x35e2, (q15_t)0x3f32, (q15_t)0x35ee, (q15_t)0x3f34, (q15_t)0x35fa, (q15_t)0x3f36, + (q15_t)0x3607, (q15_t)0x3f38, (q15_t)0x3613, (q15_t)0x3f3a, (q15_t)0x3620, (q15_t)0x3f3c, (q15_t)0x362c, (q15_t)0x3f3e, + (q15_t)0x3639, (q15_t)0x3f40, (q15_t)0x3645, (q15_t)0x3f42, (q15_t)0x3651, (q15_t)0x3f43, (q15_t)0x365e, (q15_t)0x3f45, + (q15_t)0x366a, (q15_t)0x3f47, (q15_t)0x3677, (q15_t)0x3f49, (q15_t)0x3683, (q15_t)0x3f4b, (q15_t)0x3690, (q15_t)0x3f4d, + (q15_t)0x369c, (q15_t)0x3f4f, (q15_t)0x36a8, (q15_t)0x3f51, (q15_t)0x36b5, (q15_t)0x3f52, (q15_t)0x36c1, (q15_t)0x3f54, + (q15_t)0x36ce, (q15_t)0x3f56, (q15_t)0x36da, (q15_t)0x3f58, (q15_t)0x36e7, (q15_t)0x3f5a, (q15_t)0x36f3, (q15_t)0x3f5b, + (q15_t)0x36ff, (q15_t)0x3f5d, (q15_t)0x370c, (q15_t)0x3f5f, (q15_t)0x3718, (q15_t)0x3f61, (q15_t)0x3725, (q15_t)0x3f62, + (q15_t)0x3731, (q15_t)0x3f64, (q15_t)0x373e, (q15_t)0x3f66, (q15_t)0x374a, (q15_t)0x3f68, (q15_t)0x3757, (q15_t)0x3f69, + (q15_t)0x3763, (q15_t)0x3f6b, (q15_t)0x376f, (q15_t)0x3f6d, (q15_t)0x377c, (q15_t)0x3f6e, (q15_t)0x3788, (q15_t)0x3f70, + (q15_t)0x3795, (q15_t)0x3f72, (q15_t)0x37a1, (q15_t)0x3f73, (q15_t)0x37ae, (q15_t)0x3f75, (q15_t)0x37ba, (q15_t)0x3f77, + (q15_t)0x37c7, (q15_t)0x3f78, (q15_t)0x37d3, (q15_t)0x3f7a, (q15_t)0x37e0, (q15_t)0x3f7b, (q15_t)0x37ec, (q15_t)0x3f7d, + (q15_t)0x37f9, (q15_t)0x3f7f, (q15_t)0x3805, (q15_t)0x3f80, (q15_t)0x3811, (q15_t)0x3f82, (q15_t)0x381e, (q15_t)0x3f83, + (q15_t)0x382a, (q15_t)0x3f85, (q15_t)0x3837, (q15_t)0x3f86, (q15_t)0x3843, (q15_t)0x3f88, (q15_t)0x3850, (q15_t)0x3f89, + (q15_t)0x385c, (q15_t)0x3f8b, (q15_t)0x3869, (q15_t)0x3f8c, (q15_t)0x3875, (q15_t)0x3f8e, (q15_t)0x3882, (q15_t)0x3f8f, + (q15_t)0x388e, (q15_t)0x3f91, (q15_t)0x389b, (q15_t)0x3f92, (q15_t)0x38a7, (q15_t)0x3f94, (q15_t)0x38b4, (q15_t)0x3f95, + (q15_t)0x38c0, (q15_t)0x3f97, (q15_t)0x38cd, (q15_t)0x3f98, (q15_t)0x38d9, (q15_t)0x3f99, (q15_t)0x38e6, (q15_t)0x3f9b, + (q15_t)0x38f2, (q15_t)0x3f9c, (q15_t)0x38ff, (q15_t)0x3f9e, (q15_t)0x390b, (q15_t)0x3f9f, (q15_t)0x3918, (q15_t)0x3fa0, + (q15_t)0x3924, (q15_t)0x3fa2, (q15_t)0x3931, (q15_t)0x3fa3, (q15_t)0x393d, (q15_t)0x3fa4, (q15_t)0x394a, (q15_t)0x3fa6, + (q15_t)0x3956, (q15_t)0x3fa7, (q15_t)0x3963, (q15_t)0x3fa8, (q15_t)0x396f, (q15_t)0x3faa, (q15_t)0x397c, (q15_t)0x3fab, + (q15_t)0x3988, (q15_t)0x3fac, (q15_t)0x3995, (q15_t)0x3fad, (q15_t)0x39a1, (q15_t)0x3faf, (q15_t)0x39ae, (q15_t)0x3fb0, + (q15_t)0x39ba, (q15_t)0x3fb1, (q15_t)0x39c7, (q15_t)0x3fb2, (q15_t)0x39d3, (q15_t)0x3fb4, (q15_t)0x39e0, (q15_t)0x3fb5, + (q15_t)0x39ec, (q15_t)0x3fb6, (q15_t)0x39f9, (q15_t)0x3fb7, (q15_t)0x3a05, (q15_t)0x3fb8, (q15_t)0x3a12, (q15_t)0x3fb9, + (q15_t)0x3a1e, (q15_t)0x3fbb, (q15_t)0x3a2b, (q15_t)0x3fbc, (q15_t)0x3a37, (q15_t)0x3fbd, (q15_t)0x3a44, (q15_t)0x3fbe, + (q15_t)0x3a50, (q15_t)0x3fbf, (q15_t)0x3a5d, (q15_t)0x3fc0, (q15_t)0x3a69, (q15_t)0x3fc1, (q15_t)0x3a76, (q15_t)0x3fc3, + (q15_t)0x3a82, (q15_t)0x3fc4, (q15_t)0x3a8f, (q15_t)0x3fc5, (q15_t)0x3a9b, (q15_t)0x3fc6, (q15_t)0x3aa8, (q15_t)0x3fc7, + (q15_t)0x3ab4, (q15_t)0x3fc8, (q15_t)0x3ac1, (q15_t)0x3fc9, (q15_t)0x3acd, (q15_t)0x3fca, (q15_t)0x3ada, (q15_t)0x3fcb, + (q15_t)0x3ae6, (q15_t)0x3fcc, (q15_t)0x3af3, (q15_t)0x3fcd, (q15_t)0x3b00, (q15_t)0x3fce, (q15_t)0x3b0c, (q15_t)0x3fcf, + (q15_t)0x3b19, (q15_t)0x3fd0, (q15_t)0x3b25, (q15_t)0x3fd1, (q15_t)0x3b32, (q15_t)0x3fd2, (q15_t)0x3b3e, (q15_t)0x3fd3, + (q15_t)0x3b4b, (q15_t)0x3fd4, (q15_t)0x3b57, (q15_t)0x3fd5, (q15_t)0x3b64, (q15_t)0x3fd5, (q15_t)0x3b70, (q15_t)0x3fd6, + (q15_t)0x3b7d, (q15_t)0x3fd7, (q15_t)0x3b89, (q15_t)0x3fd8, (q15_t)0x3b96, (q15_t)0x3fd9, (q15_t)0x3ba2, (q15_t)0x3fda, + (q15_t)0x3baf, (q15_t)0x3fdb, (q15_t)0x3bbc, (q15_t)0x3fdc, (q15_t)0x3bc8, (q15_t)0x3fdc, (q15_t)0x3bd5, (q15_t)0x3fdd, + (q15_t)0x3be1, (q15_t)0x3fde, (q15_t)0x3bee, (q15_t)0x3fdf, (q15_t)0x3bfa, (q15_t)0x3fe0, (q15_t)0x3c07, (q15_t)0x3fe0, + (q15_t)0x3c13, (q15_t)0x3fe1, (q15_t)0x3c20, (q15_t)0x3fe2, (q15_t)0x3c2c, (q15_t)0x3fe3, (q15_t)0x3c39, (q15_t)0x3fe3, + (q15_t)0x3c45, (q15_t)0x3fe4, (q15_t)0x3c52, (q15_t)0x3fe5, (q15_t)0x3c5f, (q15_t)0x3fe6, (q15_t)0x3c6b, (q15_t)0x3fe6, + (q15_t)0x3c78, (q15_t)0x3fe7, (q15_t)0x3c84, (q15_t)0x3fe8, (q15_t)0x3c91, (q15_t)0x3fe8, (q15_t)0x3c9d, (q15_t)0x3fe9, + (q15_t)0x3caa, (q15_t)0x3fea, (q15_t)0x3cb6, (q15_t)0x3fea, (q15_t)0x3cc3, (q15_t)0x3feb, (q15_t)0x3cd0, (q15_t)0x3fec, + (q15_t)0x3cdc, (q15_t)0x3fec, (q15_t)0x3ce9, (q15_t)0x3fed, (q15_t)0x3cf5, (q15_t)0x3fed, (q15_t)0x3d02, (q15_t)0x3fee, + (q15_t)0x3d0e, (q15_t)0x3fef, (q15_t)0x3d1b, (q15_t)0x3fef, (q15_t)0x3d27, (q15_t)0x3ff0, (q15_t)0x3d34, (q15_t)0x3ff0, + (q15_t)0x3d40, (q15_t)0x3ff1, (q15_t)0x3d4d, (q15_t)0x3ff1, (q15_t)0x3d5a, (q15_t)0x3ff2, (q15_t)0x3d66, (q15_t)0x3ff2, + (q15_t)0x3d73, (q15_t)0x3ff3, (q15_t)0x3d7f, (q15_t)0x3ff3, (q15_t)0x3d8c, (q15_t)0x3ff4, (q15_t)0x3d98, (q15_t)0x3ff4, + (q15_t)0x3da5, (q15_t)0x3ff5, (q15_t)0x3db2, (q15_t)0x3ff5, (q15_t)0x3dbe, (q15_t)0x3ff6, (q15_t)0x3dcb, (q15_t)0x3ff6, + (q15_t)0x3dd7, (q15_t)0x3ff7, (q15_t)0x3de4, (q15_t)0x3ff7, (q15_t)0x3df0, (q15_t)0x3ff7, (q15_t)0x3dfd, (q15_t)0x3ff8, + (q15_t)0x3e09, (q15_t)0x3ff8, (q15_t)0x3e16, (q15_t)0x3ff9, (q15_t)0x3e23, (q15_t)0x3ff9, (q15_t)0x3e2f, (q15_t)0x3ff9, + (q15_t)0x3e3c, (q15_t)0x3ffa, (q15_t)0x3e48, (q15_t)0x3ffa, (q15_t)0x3e55, (q15_t)0x3ffa, (q15_t)0x3e61, (q15_t)0x3ffb, + (q15_t)0x3e6e, (q15_t)0x3ffb, (q15_t)0x3e7a, (q15_t)0x3ffb, (q15_t)0x3e87, (q15_t)0x3ffc, (q15_t)0x3e94, (q15_t)0x3ffc, + (q15_t)0x3ea0, (q15_t)0x3ffc, (q15_t)0x3ead, (q15_t)0x3ffc, (q15_t)0x3eb9, (q15_t)0x3ffd, (q15_t)0x3ec6, (q15_t)0x3ffd, + (q15_t)0x3ed2, (q15_t)0x3ffd, (q15_t)0x3edf, (q15_t)0x3ffd, (q15_t)0x3eec, (q15_t)0x3ffe, (q15_t)0x3ef8, (q15_t)0x3ffe, + (q15_t)0x3f05, (q15_t)0x3ffe, (q15_t)0x3f11, (q15_t)0x3ffe, (q15_t)0x3f1e, (q15_t)0x3ffe, (q15_t)0x3f2a, (q15_t)0x3fff, + (q15_t)0x3f37, (q15_t)0x3fff, (q15_t)0x3f44, (q15_t)0x3fff, (q15_t)0x3f50, (q15_t)0x3fff, (q15_t)0x3f5d, (q15_t)0x3fff, + (q15_t)0x3f69, (q15_t)0x3fff, (q15_t)0x3f76, (q15_t)0x3fff, (q15_t)0x3f82, (q15_t)0x4000, (q15_t)0x3f8f, (q15_t)0x4000, + (q15_t)0x3f9b, (q15_t)0x4000, (q15_t)0x3fa8, (q15_t)0x4000, (q15_t)0x3fb5, (q15_t)0x4000, (q15_t)0x3fc1, (q15_t)0x4000, + (q15_t)0x3fce, (q15_t)0x4000, (q15_t)0x3fda, (q15_t)0x4000, (q15_t)0x3fe7, (q15_t)0x4000, (q15_t)0x3ff3, (q15_t)0x4000, +}; + +/** +* \par +* Generation of real_CoefB array: +* \par +* n = 4096 +*
for (i = 0; i < n; i++)
+*  {
+*    pBTable[2 * i] = 0.5 * (1.0 + sin (2 * PI / (double) (2 * n) * (double) i));
+*    pBTable[2 * i + 1] = 0.5 * (1.0 * cos (2 * PI / (double) (2 * n) * (double) i));
+*  } 
+* \par +* Convert to fixed point Q15 format +* round(pBTable[i] * pow(2, 15)) +* +*/ +const q15_t ALIGN4 realCoefBQ15[8192] = { + (q15_t)0x4000, (q15_t)0x4000, (q15_t)0x400d, (q15_t)0x4000, (q15_t)0x4019, (q15_t)0x4000, (q15_t)0x4026, (q15_t)0x4000, + (q15_t)0x4032, (q15_t)0x4000, (q15_t)0x403f, (q15_t)0x4000, (q15_t)0x404b, (q15_t)0x4000, (q15_t)0x4058, (q15_t)0x4000, + (q15_t)0x4065, (q15_t)0x4000, (q15_t)0x4071, (q15_t)0x4000, (q15_t)0x407e, (q15_t)0x4000, (q15_t)0x408a, (q15_t)0x3fff, + (q15_t)0x4097, (q15_t)0x3fff, (q15_t)0x40a3, (q15_t)0x3fff, (q15_t)0x40b0, (q15_t)0x3fff, (q15_t)0x40bc, (q15_t)0x3fff, + (q15_t)0x40c9, (q15_t)0x3fff, (q15_t)0x40d6, (q15_t)0x3fff, (q15_t)0x40e2, (q15_t)0x3ffe, (q15_t)0x40ef, (q15_t)0x3ffe, + (q15_t)0x40fb, (q15_t)0x3ffe, (q15_t)0x4108, (q15_t)0x3ffe, (q15_t)0x4114, (q15_t)0x3ffe, (q15_t)0x4121, (q15_t)0x3ffd, + (q15_t)0x412e, (q15_t)0x3ffd, (q15_t)0x413a, (q15_t)0x3ffd, (q15_t)0x4147, (q15_t)0x3ffd, (q15_t)0x4153, (q15_t)0x3ffc, + (q15_t)0x4160, (q15_t)0x3ffc, (q15_t)0x416c, (q15_t)0x3ffc, (q15_t)0x4179, (q15_t)0x3ffc, (q15_t)0x4186, (q15_t)0x3ffb, + (q15_t)0x4192, (q15_t)0x3ffb, (q15_t)0x419f, (q15_t)0x3ffb, (q15_t)0x41ab, (q15_t)0x3ffa, (q15_t)0x41b8, (q15_t)0x3ffa, + (q15_t)0x41c4, (q15_t)0x3ffa, (q15_t)0x41d1, (q15_t)0x3ff9, (q15_t)0x41dd, (q15_t)0x3ff9, (q15_t)0x41ea, (q15_t)0x3ff9, + (q15_t)0x41f7, (q15_t)0x3ff8, (q15_t)0x4203, (q15_t)0x3ff8, (q15_t)0x4210, (q15_t)0x3ff7, (q15_t)0x421c, (q15_t)0x3ff7, + (q15_t)0x4229, (q15_t)0x3ff7, (q15_t)0x4235, (q15_t)0x3ff6, (q15_t)0x4242, (q15_t)0x3ff6, (q15_t)0x424e, (q15_t)0x3ff5, + (q15_t)0x425b, (q15_t)0x3ff5, (q15_t)0x4268, (q15_t)0x3ff4, (q15_t)0x4274, (q15_t)0x3ff4, (q15_t)0x4281, (q15_t)0x3ff3, + (q15_t)0x428d, (q15_t)0x3ff3, (q15_t)0x429a, (q15_t)0x3ff2, (q15_t)0x42a6, (q15_t)0x3ff2, (q15_t)0x42b3, (q15_t)0x3ff1, + (q15_t)0x42c0, (q15_t)0x3ff1, (q15_t)0x42cc, (q15_t)0x3ff0, (q15_t)0x42d9, (q15_t)0x3ff0, (q15_t)0x42e5, (q15_t)0x3fef, + (q15_t)0x42f2, (q15_t)0x3fef, (q15_t)0x42fe, (q15_t)0x3fee, (q15_t)0x430b, (q15_t)0x3fed, (q15_t)0x4317, (q15_t)0x3fed, + (q15_t)0x4324, (q15_t)0x3fec, (q15_t)0x4330, (q15_t)0x3fec, (q15_t)0x433d, (q15_t)0x3feb, (q15_t)0x434a, (q15_t)0x3fea, + (q15_t)0x4356, (q15_t)0x3fea, (q15_t)0x4363, (q15_t)0x3fe9, (q15_t)0x436f, (q15_t)0x3fe8, (q15_t)0x437c, (q15_t)0x3fe8, + (q15_t)0x4388, (q15_t)0x3fe7, (q15_t)0x4395, (q15_t)0x3fe6, (q15_t)0x43a1, (q15_t)0x3fe6, (q15_t)0x43ae, (q15_t)0x3fe5, + (q15_t)0x43bb, (q15_t)0x3fe4, (q15_t)0x43c7, (q15_t)0x3fe3, (q15_t)0x43d4, (q15_t)0x3fe3, (q15_t)0x43e0, (q15_t)0x3fe2, + (q15_t)0x43ed, (q15_t)0x3fe1, (q15_t)0x43f9, (q15_t)0x3fe0, (q15_t)0x4406, (q15_t)0x3fe0, (q15_t)0x4412, (q15_t)0x3fdf, + (q15_t)0x441f, (q15_t)0x3fde, (q15_t)0x442b, (q15_t)0x3fdd, (q15_t)0x4438, (q15_t)0x3fdc, (q15_t)0x4444, (q15_t)0x3fdc, + (q15_t)0x4451, (q15_t)0x3fdb, (q15_t)0x445e, (q15_t)0x3fda, (q15_t)0x446a, (q15_t)0x3fd9, (q15_t)0x4477, (q15_t)0x3fd8, + (q15_t)0x4483, (q15_t)0x3fd7, (q15_t)0x4490, (q15_t)0x3fd6, (q15_t)0x449c, (q15_t)0x3fd5, (q15_t)0x44a9, (q15_t)0x3fd5, + (q15_t)0x44b5, (q15_t)0x3fd4, (q15_t)0x44c2, (q15_t)0x3fd3, (q15_t)0x44ce, (q15_t)0x3fd2, (q15_t)0x44db, (q15_t)0x3fd1, + (q15_t)0x44e7, (q15_t)0x3fd0, (q15_t)0x44f4, (q15_t)0x3fcf, (q15_t)0x4500, (q15_t)0x3fce, (q15_t)0x450d, (q15_t)0x3fcd, + (q15_t)0x451a, (q15_t)0x3fcc, (q15_t)0x4526, (q15_t)0x3fcb, (q15_t)0x4533, (q15_t)0x3fca, (q15_t)0x453f, (q15_t)0x3fc9, + (q15_t)0x454c, (q15_t)0x3fc8, (q15_t)0x4558, (q15_t)0x3fc7, (q15_t)0x4565, (q15_t)0x3fc6, (q15_t)0x4571, (q15_t)0x3fc5, + (q15_t)0x457e, (q15_t)0x3fc4, (q15_t)0x458a, (q15_t)0x3fc3, (q15_t)0x4597, (q15_t)0x3fc1, (q15_t)0x45a3, (q15_t)0x3fc0, + (q15_t)0x45b0, (q15_t)0x3fbf, (q15_t)0x45bc, (q15_t)0x3fbe, (q15_t)0x45c9, (q15_t)0x3fbd, (q15_t)0x45d5, (q15_t)0x3fbc, + (q15_t)0x45e2, (q15_t)0x3fbb, (q15_t)0x45ee, (q15_t)0x3fb9, (q15_t)0x45fb, (q15_t)0x3fb8, (q15_t)0x4607, (q15_t)0x3fb7, + (q15_t)0x4614, (q15_t)0x3fb6, (q15_t)0x4620, (q15_t)0x3fb5, 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(q15_t)0x4f81, (q15_t)0xc1e8, (q15_t)0x4f75, (q15_t)0xc1e5, (q15_t)0x4f68, (q15_t)0xc1e2, + (q15_t)0x4f5c, (q15_t)0xc1df, (q15_t)0x4f50, (q15_t)0xc1dc, (q15_t)0x4f44, (q15_t)0xc1d9, (q15_t)0x4f38, (q15_t)0xc1d6, + (q15_t)0x4f2b, (q15_t)0xc1d3, (q15_t)0x4f1f, (q15_t)0xc1d0, (q15_t)0x4f13, (q15_t)0xc1cd, (q15_t)0x4f07, (q15_t)0xc1ca, + (q15_t)0x4efb, (q15_t)0xc1c7, (q15_t)0x4eee, (q15_t)0xc1c4, (q15_t)0x4ee2, (q15_t)0xc1c1, (q15_t)0x4ed6, (q15_t)0xc1be, + (q15_t)0x4eca, (q15_t)0xc1bb, (q15_t)0x4ebd, (q15_t)0xc1b8, (q15_t)0x4eb1, (q15_t)0xc1b6, (q15_t)0x4ea5, (q15_t)0xc1b3, + (q15_t)0x4e99, (q15_t)0xc1b0, (q15_t)0x4e8c, (q15_t)0xc1ad, (q15_t)0x4e80, (q15_t)0xc1aa, (q15_t)0x4e74, (q15_t)0xc1a7, + (q15_t)0x4e68, (q15_t)0xc1a4, (q15_t)0x4e5c, (q15_t)0xc1a2, (q15_t)0x4e4f, (q15_t)0xc19f, (q15_t)0x4e43, (q15_t)0xc19c, + (q15_t)0x4e37, (q15_t)0xc199, (q15_t)0x4e2b, (q15_t)0xc196, (q15_t)0x4e1e, (q15_t)0xc194, (q15_t)0x4e12, (q15_t)0xc191, + (q15_t)0x4e06, (q15_t)0xc18e, (q15_t)0x4df9, (q15_t)0xc18b, (q15_t)0x4ded, (q15_t)0xc189, (q15_t)0x4de1, (q15_t)0xc186, + (q15_t)0x4dd5, (q15_t)0xc183, (q15_t)0x4dc8, (q15_t)0xc180, (q15_t)0x4dbc, (q15_t)0xc17e, (q15_t)0x4db0, (q15_t)0xc17b, + (q15_t)0x4da4, (q15_t)0xc178, (q15_t)0x4d97, (q15_t)0xc176, (q15_t)0x4d8b, (q15_t)0xc173, (q15_t)0x4d7f, (q15_t)0xc170, + (q15_t)0x4d72, (q15_t)0xc16e, (q15_t)0x4d66, (q15_t)0xc16b, (q15_t)0x4d5a, (q15_t)0xc168, (q15_t)0x4d4e, (q15_t)0xc166, + (q15_t)0x4d41, (q15_t)0xc163, (q15_t)0x4d35, (q15_t)0xc161, (q15_t)0x4d29, (q15_t)0xc15e, (q15_t)0x4d1c, (q15_t)0xc15b, + (q15_t)0x4d10, (q15_t)0xc159, (q15_t)0x4d04, (q15_t)0xc156, (q15_t)0x4cf8, (q15_t)0xc154, (q15_t)0x4ceb, (q15_t)0xc151, + (q15_t)0x4cdf, (q15_t)0xc14f, (q15_t)0x4cd3, (q15_t)0xc14c, (q15_t)0x4cc6, (q15_t)0xc14a, (q15_t)0x4cba, (q15_t)0xc147, + (q15_t)0x4cae, (q15_t)0xc145, (q15_t)0x4ca1, (q15_t)0xc142, (q15_t)0x4c95, (q15_t)0xc140, (q15_t)0x4c89, (q15_t)0xc13d, + (q15_t)0x4c7c, (q15_t)0xc13b, (q15_t)0x4c70, (q15_t)0xc138, (q15_t)0x4c64, (q15_t)0xc136, (q15_t)0x4c57, (q15_t)0xc134, + (q15_t)0x4c4b, (q15_t)0xc131, (q15_t)0x4c3f, (q15_t)0xc12f, (q15_t)0x4c32, (q15_t)0xc12c, (q15_t)0x4c26, (q15_t)0xc12a, + (q15_t)0x4c1a, (q15_t)0xc128, (q15_t)0x4c0d, (q15_t)0xc125, (q15_t)0x4c01, (q15_t)0xc123, (q15_t)0x4bf5, (q15_t)0xc120, + (q15_t)0x4be8, (q15_t)0xc11e, (q15_t)0x4bdc, (q15_t)0xc11c, (q15_t)0x4bd0, (q15_t)0xc119, (q15_t)0x4bc3, (q15_t)0xc117, + (q15_t)0x4bb7, (q15_t)0xc115, (q15_t)0x4bab, (q15_t)0xc113, (q15_t)0x4b9e, (q15_t)0xc110, (q15_t)0x4b92, (q15_t)0xc10e, + (q15_t)0x4b85, (q15_t)0xc10c, (q15_t)0x4b79, (q15_t)0xc109, (q15_t)0x4b6d, (q15_t)0xc107, (q15_t)0x4b60, (q15_t)0xc105, + (q15_t)0x4b54, (q15_t)0xc103, (q15_t)0x4b48, (q15_t)0xc100, (q15_t)0x4b3b, (q15_t)0xc0fe, (q15_t)0x4b2f, (q15_t)0xc0fc, + (q15_t)0x4b23, (q15_t)0xc0fa, (q15_t)0x4b16, (q15_t)0xc0f8, (q15_t)0x4b0a, (q15_t)0xc0f6, (q15_t)0x4afd, (q15_t)0xc0f3, + (q15_t)0x4af1, (q15_t)0xc0f1, (q15_t)0x4ae5, (q15_t)0xc0ef, (q15_t)0x4ad8, (q15_t)0xc0ed, (q15_t)0x4acc, (q15_t)0xc0eb, + (q15_t)0x4ac0, (q15_t)0xc0e9, (q15_t)0x4ab3, (q15_t)0xc0e7, (q15_t)0x4aa7, (q15_t)0xc0e4, (q15_t)0x4a9a, (q15_t)0xc0e2, + (q15_t)0x4a8e, (q15_t)0xc0e0, (q15_t)0x4a82, (q15_t)0xc0de, (q15_t)0x4a75, (q15_t)0xc0dc, (q15_t)0x4a69, (q15_t)0xc0da, + (q15_t)0x4a5c, (q15_t)0xc0d8, (q15_t)0x4a50, (q15_t)0xc0d6, (q15_t)0x4a44, (q15_t)0xc0d4, (q15_t)0x4a37, (q15_t)0xc0d2, + (q15_t)0x4a2b, (q15_t)0xc0d0, (q15_t)0x4a1e, (q15_t)0xc0ce, (q15_t)0x4a12, (q15_t)0xc0cc, (q15_t)0x4a06, (q15_t)0xc0ca, + (q15_t)0x49f9, (q15_t)0xc0c8, (q15_t)0x49ed, (q15_t)0xc0c6, (q15_t)0x49e0, (q15_t)0xc0c4, (q15_t)0x49d4, (q15_t)0xc0c2, + (q15_t)0x49c7, (q15_t)0xc0c0, (q15_t)0x49bb, (q15_t)0xc0be, (q15_t)0x49af, (q15_t)0xc0bd, (q15_t)0x49a2, (q15_t)0xc0bb, + (q15_t)0x4996, (q15_t)0xc0b9, (q15_t)0x4989, (q15_t)0xc0b7, (q15_t)0x497d, (q15_t)0xc0b5, (q15_t)0x4970, (q15_t)0xc0b3, + (q15_t)0x4964, (q15_t)0xc0b1, (q15_t)0x4958, (q15_t)0xc0af, (q15_t)0x494b, (q15_t)0xc0ae, (q15_t)0x493f, (q15_t)0xc0ac, + (q15_t)0x4932, (q15_t)0xc0aa, (q15_t)0x4926, (q15_t)0xc0a8, (q15_t)0x4919, (q15_t)0xc0a6, (q15_t)0x490d, (q15_t)0xc0a5, + (q15_t)0x4901, (q15_t)0xc0a3, (q15_t)0x48f4, (q15_t)0xc0a1, (q15_t)0x48e8, (q15_t)0xc09f, (q15_t)0x48db, (q15_t)0xc09e, + (q15_t)0x48cf, (q15_t)0xc09c, (q15_t)0x48c2, (q15_t)0xc09a, (q15_t)0x48b6, (q15_t)0xc098, (q15_t)0x48a9, (q15_t)0xc097, + (q15_t)0x489d, (q15_t)0xc095, (q15_t)0x4891, (q15_t)0xc093, (q15_t)0x4884, (q15_t)0xc092, (q15_t)0x4878, (q15_t)0xc090, + (q15_t)0x486b, (q15_t)0xc08e, (q15_t)0x485f, (q15_t)0xc08d, (q15_t)0x4852, (q15_t)0xc08b, (q15_t)0x4846, (q15_t)0xc089, + (q15_t)0x4839, (q15_t)0xc088, (q15_t)0x482d, (q15_t)0xc086, (q15_t)0x4820, (q15_t)0xc085, (q15_t)0x4814, (q15_t)0xc083, + (q15_t)0x4807, (q15_t)0xc081, (q15_t)0x47fb, (q15_t)0xc080, (q15_t)0x47ef, (q15_t)0xc07e, (q15_t)0x47e2, (q15_t)0xc07d, + (q15_t)0x47d6, (q15_t)0xc07b, (q15_t)0x47c9, (q15_t)0xc07a, (q15_t)0x47bd, (q15_t)0xc078, (q15_t)0x47b0, (q15_t)0xc077, + (q15_t)0x47a4, (q15_t)0xc075, (q15_t)0x4797, (q15_t)0xc074, (q15_t)0x478b, (q15_t)0xc072, (q15_t)0x477e, (q15_t)0xc071, + (q15_t)0x4772, (q15_t)0xc06f, (q15_t)0x4765, (q15_t)0xc06e, (q15_t)0x4759, (q15_t)0xc06c, (q15_t)0x474c, (q15_t)0xc06b, + (q15_t)0x4740, (q15_t)0xc069, (q15_t)0x4733, (q15_t)0xc068, (q15_t)0x4727, (q15_t)0xc067, (q15_t)0x471a, (q15_t)0xc065, + (q15_t)0x470e, (q15_t)0xc064, (q15_t)0x4701, (q15_t)0xc062, (q15_t)0x46f5, (q15_t)0xc061, (q15_t)0x46e8, (q15_t)0xc060, + (q15_t)0x46dc, (q15_t)0xc05e, (q15_t)0x46cf, (q15_t)0xc05d, (q15_t)0x46c3, (q15_t)0xc05c, (q15_t)0x46b6, (q15_t)0xc05a, + (q15_t)0x46aa, (q15_t)0xc059, (q15_t)0x469d, (q15_t)0xc058, (q15_t)0x4691, (q15_t)0xc056, (q15_t)0x4684, (q15_t)0xc055, + (q15_t)0x4678, (q15_t)0xc054, (q15_t)0x466b, (q15_t)0xc053, (q15_t)0x465f, (q15_t)0xc051, (q15_t)0x4652, (q15_t)0xc050, + (q15_t)0x4646, (q15_t)0xc04f, (q15_t)0x4639, (q15_t)0xc04e, (q15_t)0x462d, (q15_t)0xc04c, (q15_t)0x4620, (q15_t)0xc04b, + (q15_t)0x4614, (q15_t)0xc04a, (q15_t)0x4607, (q15_t)0xc049, (q15_t)0x45fb, (q15_t)0xc048, (q15_t)0x45ee, (q15_t)0xc047, + (q15_t)0x45e2, (q15_t)0xc045, (q15_t)0x45d5, (q15_t)0xc044, (q15_t)0x45c9, (q15_t)0xc043, (q15_t)0x45bc, (q15_t)0xc042, + (q15_t)0x45b0, (q15_t)0xc041, (q15_t)0x45a3, (q15_t)0xc040, (q15_t)0x4597, (q15_t)0xc03f, (q15_t)0x458a, (q15_t)0xc03d, + (q15_t)0x457e, (q15_t)0xc03c, (q15_t)0x4571, (q15_t)0xc03b, (q15_t)0x4565, (q15_t)0xc03a, (q15_t)0x4558, (q15_t)0xc039, + (q15_t)0x454c, (q15_t)0xc038, (q15_t)0x453f, (q15_t)0xc037, (q15_t)0x4533, (q15_t)0xc036, (q15_t)0x4526, (q15_t)0xc035, + (q15_t)0x451a, (q15_t)0xc034, (q15_t)0x450d, (q15_t)0xc033, (q15_t)0x4500, (q15_t)0xc032, (q15_t)0x44f4, (q15_t)0xc031, + (q15_t)0x44e7, (q15_t)0xc030, (q15_t)0x44db, (q15_t)0xc02f, (q15_t)0x44ce, (q15_t)0xc02e, (q15_t)0x44c2, (q15_t)0xc02d, + (q15_t)0x44b5, (q15_t)0xc02c, (q15_t)0x44a9, (q15_t)0xc02b, (q15_t)0x449c, (q15_t)0xc02b, (q15_t)0x4490, (q15_t)0xc02a, + (q15_t)0x4483, (q15_t)0xc029, (q15_t)0x4477, (q15_t)0xc028, (q15_t)0x446a, (q15_t)0xc027, (q15_t)0x445e, (q15_t)0xc026, + (q15_t)0x4451, (q15_t)0xc025, (q15_t)0x4444, (q15_t)0xc024, (q15_t)0x4438, (q15_t)0xc024, (q15_t)0x442b, (q15_t)0xc023, + (q15_t)0x441f, (q15_t)0xc022, (q15_t)0x4412, (q15_t)0xc021, (q15_t)0x4406, (q15_t)0xc020, (q15_t)0x43f9, (q15_t)0xc020, + (q15_t)0x43ed, (q15_t)0xc01f, (q15_t)0x43e0, (q15_t)0xc01e, (q15_t)0x43d4, (q15_t)0xc01d, (q15_t)0x43c7, (q15_t)0xc01d, + (q15_t)0x43bb, (q15_t)0xc01c, (q15_t)0x43ae, (q15_t)0xc01b, (q15_t)0x43a1, (q15_t)0xc01a, (q15_t)0x4395, (q15_t)0xc01a, + (q15_t)0x4388, (q15_t)0xc019, (q15_t)0x437c, (q15_t)0xc018, (q15_t)0x436f, (q15_t)0xc018, (q15_t)0x4363, (q15_t)0xc017, + (q15_t)0x4356, (q15_t)0xc016, (q15_t)0x434a, (q15_t)0xc016, (q15_t)0x433d, (q15_t)0xc015, (q15_t)0x4330, (q15_t)0xc014, + (q15_t)0x4324, (q15_t)0xc014, (q15_t)0x4317, (q15_t)0xc013, (q15_t)0x430b, (q15_t)0xc013, (q15_t)0x42fe, (q15_t)0xc012, + (q15_t)0x42f2, (q15_t)0xc011, (q15_t)0x42e5, (q15_t)0xc011, (q15_t)0x42d9, (q15_t)0xc010, (q15_t)0x42cc, (q15_t)0xc010, + (q15_t)0x42c0, (q15_t)0xc00f, (q15_t)0x42b3, (q15_t)0xc00f, (q15_t)0x42a6, (q15_t)0xc00e, (q15_t)0x429a, (q15_t)0xc00e, + (q15_t)0x428d, (q15_t)0xc00d, (q15_t)0x4281, (q15_t)0xc00d, (q15_t)0x4274, (q15_t)0xc00c, (q15_t)0x4268, (q15_t)0xc00c, + (q15_t)0x425b, (q15_t)0xc00b, (q15_t)0x424e, (q15_t)0xc00b, (q15_t)0x4242, (q15_t)0xc00a, (q15_t)0x4235, (q15_t)0xc00a, + (q15_t)0x4229, (q15_t)0xc009, (q15_t)0x421c, (q15_t)0xc009, (q15_t)0x4210, (q15_t)0xc009, (q15_t)0x4203, (q15_t)0xc008, + (q15_t)0x41f7, (q15_t)0xc008, (q15_t)0x41ea, (q15_t)0xc007, (q15_t)0x41dd, (q15_t)0xc007, (q15_t)0x41d1, (q15_t)0xc007, + (q15_t)0x41c4, (q15_t)0xc006, (q15_t)0x41b8, (q15_t)0xc006, (q15_t)0x41ab, (q15_t)0xc006, (q15_t)0x419f, (q15_t)0xc005, + (q15_t)0x4192, (q15_t)0xc005, (q15_t)0x4186, (q15_t)0xc005, (q15_t)0x4179, (q15_t)0xc004, (q15_t)0x416c, (q15_t)0xc004, + (q15_t)0x4160, (q15_t)0xc004, (q15_t)0x4153, (q15_t)0xc004, (q15_t)0x4147, (q15_t)0xc003, (q15_t)0x413a, (q15_t)0xc003, + (q15_t)0x412e, (q15_t)0xc003, (q15_t)0x4121, (q15_t)0xc003, (q15_t)0x4114, (q15_t)0xc002, (q15_t)0x4108, (q15_t)0xc002, + (q15_t)0x40fb, (q15_t)0xc002, (q15_t)0x40ef, (q15_t)0xc002, (q15_t)0x40e2, (q15_t)0xc002, (q15_t)0x40d6, (q15_t)0xc001, + (q15_t)0x40c9, (q15_t)0xc001, (q15_t)0x40bc, (q15_t)0xc001, (q15_t)0x40b0, (q15_t)0xc001, (q15_t)0x40a3, (q15_t)0xc001, + (q15_t)0x4097, (q15_t)0xc001, (q15_t)0x408a, (q15_t)0xc001, (q15_t)0x407e, (q15_t)0xc000, (q15_t)0x4071, (q15_t)0xc000, + (q15_t)0x4065, (q15_t)0xc000, (q15_t)0x4058, (q15_t)0xc000, (q15_t)0x404b, (q15_t)0xc000, (q15_t)0x403f, (q15_t)0xc000, + (q15_t)0x4032, (q15_t)0xc000, (q15_t)0x4026, (q15_t)0xc000, (q15_t)0x4019, (q15_t)0xc000, (q15_t)0x400d, (q15_t)0xc000, +}; + +/** +* @} end of RealFFT_Table group +*/ + +/** +* @addtogroup RealFFT +* @{ +*/ + +/** +* @brief Initialization function for the Q15 RFFT/RIFFT. +* @param[in, out] *S points to an instance of the Q15 RFFT/RIFFT structure. +* @param[in] fftLenReal length of the FFT. +* @param[in] ifftFlagR flag that selects forward (ifftFlagR=0) or inverse (ifftFlagR=1) transform. +* @param[in] bitReverseFlag flag that enables (bitReverseFlag=1) or disables (bitReverseFlag=0) bit reversal of output. +* @return The function returns ARM_MATH_SUCCESS if initialization is successful or ARM_MATH_ARGUMENT_ERROR if fftLenReal is not a supported value. +* +* \par Description: +* \par +* The parameter fftLenReal Specifies length of RFFT/RIFFT Process. Supported FFT Lengths are 32, 64, 128, 256, 512, 1024, 2048, 4096, 8192. +* \par +* The parameter ifftFlagR controls whether a forward or inverse transform is computed. +* Set(=1) ifftFlagR to calculate RIFFT, otherwise RFFT is calculated. +* \par +* The parameter bitReverseFlag controls whether output is in normal order or bit reversed order. +* Set(=1) bitReverseFlag for output to be in normal order otherwise output is in bit reversed order. +* \par +* This function also initializes Twiddle factor table. +*/ +arm_status arm_rfft_init_q15( + arm_rfft_instance_q15 * S, + uint32_t fftLenReal, + uint32_t ifftFlagR, + uint32_t bitReverseFlag) +{ + /* Initialise the default arm status */ + arm_status status = ARM_MATH_SUCCESS; + + /* Initialize the Real FFT length */ + S->fftLenReal = (uint16_t) fftLenReal; + + /* Initialize the Twiddle coefficientA pointer */ + S->pTwiddleAReal = (q15_t *) realCoefAQ15; + + /* Initialize the Twiddle coefficientB pointer */ + S->pTwiddleBReal = (q15_t *) realCoefBQ15; + + /* Initialize the Flag for selection of RFFT or RIFFT */ + S->ifftFlagR = (uint8_t) ifftFlagR; + + /* Initialize the Flag for calculation Bit reversal or not */ + S->bitReverseFlagR = (uint8_t) bitReverseFlag; + + /* Initialization of coef modifier depending on the FFT length */ + switch (S->fftLenReal) + { + case 8192U: + S->twidCoefRModifier = 1U; + S->pCfft = &arm_cfft_sR_q15_len4096; + break; + case 4096U: + S->twidCoefRModifier = 2U; + S->pCfft = &arm_cfft_sR_q15_len2048; + break; + case 2048U: + S->twidCoefRModifier = 4U; + S->pCfft = &arm_cfft_sR_q15_len1024; + break; + case 1024U: + S->twidCoefRModifier = 8U; + S->pCfft = &arm_cfft_sR_q15_len512; + break; + case 512U: + S->twidCoefRModifier = 16U; + S->pCfft = &arm_cfft_sR_q15_len256; + break; + case 256U: + S->twidCoefRModifier = 32U; + S->pCfft = &arm_cfft_sR_q15_len128; + break; + case 128U: + S->twidCoefRModifier = 64U; + S->pCfft = &arm_cfft_sR_q15_len64; + break; + case 64U: + S->twidCoefRModifier = 128U; + S->pCfft = &arm_cfft_sR_q15_len32; + break; + case 32U: + S->twidCoefRModifier = 256U; + S->pCfft = &arm_cfft_sR_q15_len16; + break; + default: + /* Reporting argument error if rfftSize is not valid value */ + status = ARM_MATH_ARGUMENT_ERROR; + break; + } + + /* return the status of RFFT Init function */ + return (status); +} + +/** +* @} end of RealFFT group +*/ diff --git a/fw/hid-dials/Drivers/CMSIS/DSP/Source/TransformFunctions/arm_rfft_init_q31.c b/fw/hid-dials/Drivers/CMSIS/DSP/Source/TransformFunctions/arm_rfft_init_q31.c new file mode 100644 index 0000000..04369ed --- /dev/null +++ b/fw/hid-dials/Drivers/CMSIS/DSP/Source/TransformFunctions/arm_rfft_init_q31.c @@ -0,0 +1,4280 @@ +/* ---------------------------------------------------------------------- + * Project: CMSIS DSP Library + * Title: arm_rfft_init_q31.c + * Description: RFFT & RIFFT Q31 initialisation function + * + * $Date: 27. January 2017 + * $Revision: V.1.5.1 + * + * Target Processor: Cortex-M cores + * -------------------------------------------------------------------- */ +/* + * Copyright (C) 2010-2017 ARM Limited or its affiliates. All rights reserved. + * + * SPDX-License-Identifier: Apache-2.0 + * + * Licensed under the Apache License, Version 2.0 (the License); you may + * not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an AS IS BASIS, WITHOUT + * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ + +#include "arm_math.h" +#include "arm_common_tables.h" +#include "arm_const_structs.h" + +/** +* @ingroup RealFFT +*/ + +/** + * @addtogroup RealFFT_Table Real FFT Tables +* @{ +*/ + +/** +* \par +* Generation fixed-point realCoefAQ31 array in Q31 format: +* \par +* n = 4096 +*
for (i = 0; i < n; i++)
+* {
+*    pATable[2 * i] = 0.5 * (1.0 - sin (2 * PI / (double) (2 * n) * (double) i));
+*    pATable[2 * i + 1] = 0.5 * (-1.0 * cos (2 * PI / (double) (2 * n) * (double) i));
+* }
+* \par +* Convert to fixed point Q31 format +* round(pATable[i] * pow(2, 31)) +*/ +const q31_t realCoefAQ31[8192] = { + (q31_t)0x40000000, (q31_t)0xc0000000, (q31_t)0x3ff36f02, (q31_t)0xc000013c, + (q31_t)0x3fe6de05, (q31_t)0xc00004ef, (q31_t)0x3fda4d09, (q31_t)0xc0000b1a, + (q31_t)0x3fcdbc0f, (q31_t)0xc00013bd, (q31_t)0x3fc12b16, (q31_t)0xc0001ed8, + (q31_t)0x3fb49a1f, (q31_t)0xc0002c6a, (q31_t)0x3fa8092c, (q31_t)0xc0003c74, + (q31_t)0x3f9b783c, (q31_t)0xc0004ef5, (q31_t)0x3f8ee750, (q31_t)0xc00063ee, + (q31_t)0x3f825668, (q31_t)0xc0007b5f, (q31_t)0x3f75c585, (q31_t)0xc0009547, + (q31_t)0x3f6934a8, (q31_t)0xc000b1a7, (q31_t)0x3f5ca3d0, (q31_t)0xc000d07e, + (q31_t)0x3f5012fe, (q31_t)0xc000f1ce, (q31_t)0x3f438234, (q31_t)0xc0011594, + (q31_t)0x3f36f170, (q31_t)0xc0013bd3, (q31_t)0x3f2a60b4, (q31_t)0xc0016489, + (q31_t)0x3f1dd001, (q31_t)0xc0018fb6, (q31_t)0x3f113f56, (q31_t)0xc001bd5c, + (q31_t)0x3f04aeb5, (q31_t)0xc001ed78, (q31_t)0x3ef81e1d, (q31_t)0xc002200d, + (q31_t)0x3eeb8d8f, (q31_t)0xc0025519, (q31_t)0x3edefd0c, (q31_t)0xc0028c9c, + (q31_t)0x3ed26c94, (q31_t)0xc002c697, (q31_t)0x3ec5dc28, (q31_t)0xc003030a, + (q31_t)0x3eb94bc8, (q31_t)0xc00341f4, (q31_t)0x3eacbb74, (q31_t)0xc0038356, + (q31_t)0x3ea02b2e, (q31_t)0xc003c72f, (q31_t)0x3e939af5, (q31_t)0xc0040d80, + (q31_t)0x3e870aca, (q31_t)0xc0045648, (q31_t)0x3e7a7aae, (q31_t)0xc004a188, + (q31_t)0x3e6deaa1, (q31_t)0xc004ef3f, (q31_t)0x3e615aa3, (q31_t)0xc0053f6e, + (q31_t)0x3e54cab5, (q31_t)0xc0059214, (q31_t)0x3e483ad8, (q31_t)0xc005e731, + (q31_t)0x3e3bab0b, (q31_t)0xc0063ec6, (q31_t)0x3e2f1b50, (q31_t)0xc00698d3, + (q31_t)0x3e228ba7, (q31_t)0xc006f556, (q31_t)0x3e15fc11, (q31_t)0xc0075452, + (q31_t)0x3e096c8d, (q31_t)0xc007b5c4, (q31_t)0x3dfcdd1d, (q31_t)0xc00819ae, + (q31_t)0x3df04dc0, (q31_t)0xc008800f, (q31_t)0x3de3be78, (q31_t)0xc008e8e8, + (q31_t)0x3dd72f45, (q31_t)0xc0095438, (q31_t)0x3dcaa027, (q31_t)0xc009c1ff, + (q31_t)0x3dbe111e, (q31_t)0xc00a323d, (q31_t)0x3db1822c, (q31_t)0xc00aa4f3, + (q31_t)0x3da4f351, (q31_t)0xc00b1a20, (q31_t)0x3d98648d, (q31_t)0xc00b91c4, + (q31_t)0x3d8bd5e1, (q31_t)0xc00c0be0, (q31_t)0x3d7f474d, (q31_t)0xc00c8872, + (q31_t)0x3d72b8d2, (q31_t)0xc00d077c, (q31_t)0x3d662a70, (q31_t)0xc00d88fd, + (q31_t)0x3d599c28, (q31_t)0xc00e0cf5, (q31_t)0x3d4d0df9, (q31_t)0xc00e9364, + (q31_t)0x3d407fe6, (q31_t)0xc00f1c4a, (q31_t)0x3d33f1ed, (q31_t)0xc00fa7a8, + (q31_t)0x3d276410, (q31_t)0xc010357c, (q31_t)0x3d1ad650, (q31_t)0xc010c5c7, + (q31_t)0x3d0e48ab, (q31_t)0xc011588a, (q31_t)0x3d01bb24, (q31_t)0xc011edc3, + (q31_t)0x3cf52dbb, (q31_t)0xc0128574, (q31_t)0x3ce8a06f, (q31_t)0xc0131f9b, + (q31_t)0x3cdc1342, (q31_t)0xc013bc39, (q31_t)0x3ccf8634, (q31_t)0xc0145b4e, + (q31_t)0x3cc2f945, (q31_t)0xc014fcda, (q31_t)0x3cb66c77, (q31_t)0xc015a0dd, + (q31_t)0x3ca9dfc8, (q31_t)0xc0164757, (q31_t)0x3c9d533b, (q31_t)0xc016f047, + (q31_t)0x3c90c6cf, (q31_t)0xc0179bae, (q31_t)0x3c843a85, (q31_t)0xc018498c, + (q31_t)0x3c77ae5e, (q31_t)0xc018f9e1, (q31_t)0x3c6b2259, (q31_t)0xc019acac, + (q31_t)0x3c5e9678, (q31_t)0xc01a61ee, (q31_t)0x3c520aba, (q31_t)0xc01b19a7, + (q31_t)0x3c457f21, (q31_t)0xc01bd3d6, (q31_t)0x3c38f3ac, (q31_t)0xc01c907c, + (q31_t)0x3c2c685d, (q31_t)0xc01d4f99, (q31_t)0x3c1fdd34, (q31_t)0xc01e112b, + (q31_t)0x3c135231, (q31_t)0xc01ed535, (q31_t)0x3c06c754, (q31_t)0xc01f9bb5, + (q31_t)0x3bfa3c9f, (q31_t)0xc02064ab, (q31_t)0x3bedb212, (q31_t)0xc0213018, + (q31_t)0x3be127ac, (q31_t)0xc021fdfb, (q31_t)0x3bd49d70, (q31_t)0xc022ce54, + (q31_t)0x3bc8135c, (q31_t)0xc023a124, (q31_t)0x3bbb8973, (q31_t)0xc024766a, + (q31_t)0x3baeffb3, (q31_t)0xc0254e27, (q31_t)0x3ba2761e, (q31_t)0xc0262859, + (q31_t)0x3b95ecb4, (q31_t)0xc0270502, (q31_t)0x3b896375, (q31_t)0xc027e421, + (q31_t)0x3b7cda63, (q31_t)0xc028c5b6, (q31_t)0x3b70517d, (q31_t)0xc029a9c1, + (q31_t)0x3b63c8c4, (q31_t)0xc02a9042, (q31_t)0x3b574039, (q31_t)0xc02b7939, + (q31_t)0x3b4ab7db, (q31_t)0xc02c64a6, (q31_t)0x3b3e2fac, (q31_t)0xc02d5289, + (q31_t)0x3b31a7ac, (q31_t)0xc02e42e2, (q31_t)0x3b251fdc, (q31_t)0xc02f35b1, + (q31_t)0x3b18983b, (q31_t)0xc0302af5, (q31_t)0x3b0c10cb, (q31_t)0xc03122b0, + (q31_t)0x3aff898c, (q31_t)0xc0321ce0, (q31_t)0x3af3027e, (q31_t)0xc0331986, + (q31_t)0x3ae67ba2, (q31_t)0xc03418a2, (q31_t)0x3ad9f4f8, (q31_t)0xc0351a33, + (q31_t)0x3acd6e81, (q31_t)0xc0361e3a, (q31_t)0x3ac0e83d, (q31_t)0xc03724b6, + (q31_t)0x3ab4622d, (q31_t)0xc0382da8, (q31_t)0x3aa7dc52, (q31_t)0xc0393910, + (q31_t)0x3a9b56ab, (q31_t)0xc03a46ed, (q31_t)0x3a8ed139, (q31_t)0xc03b573f, + (q31_t)0x3a824bfd, (q31_t)0xc03c6a07, (q31_t)0x3a75c6f8, (q31_t)0xc03d7f44, + (q31_t)0x3a694229, (q31_t)0xc03e96f6, (q31_t)0x3a5cbd91, (q31_t)0xc03fb11d, + (q31_t)0x3a503930, (q31_t)0xc040cdba, (q31_t)0x3a43b508, (q31_t)0xc041eccc, + (q31_t)0x3a373119, (q31_t)0xc0430e53, (q31_t)0x3a2aad62, (q31_t)0xc044324f, + (q31_t)0x3a1e29e5, (q31_t)0xc04558c0, (q31_t)0x3a11a6a3, (q31_t)0xc04681a6, + (q31_t)0x3a05239a, (q31_t)0xc047ad01, (q31_t)0x39f8a0cd, (q31_t)0xc048dad1, + (q31_t)0x39ec1e3b, (q31_t)0xc04a0b16, (q31_t)0x39df9be6, (q31_t)0xc04b3dcf, + (q31_t)0x39d319cc, (q31_t)0xc04c72fe, (q31_t)0x39c697f0, (q31_t)0xc04daaa1, + (q31_t)0x39ba1651, (q31_t)0xc04ee4b8, (q31_t)0x39ad94f0, (q31_t)0xc0502145, + (q31_t)0x39a113cd, (q31_t)0xc0516045, (q31_t)0x399492ea, (q31_t)0xc052a1bb, + (q31_t)0x39881245, (q31_t)0xc053e5a5, (q31_t)0x397b91e1, (q31_t)0xc0552c03, + (q31_t)0x396f11bc, (q31_t)0xc05674d6, (q31_t)0x396291d9, (q31_t)0xc057c01d, + (q31_t)0x39561237, (q31_t)0xc0590dd8, (q31_t)0x394992d7, (q31_t)0xc05a5e07, + (q31_t)0x393d13b8, (q31_t)0xc05bb0ab, (q31_t)0x393094dd, (q31_t)0xc05d05c3, + (q31_t)0x39241645, (q31_t)0xc05e5d4e, (q31_t)0x391797f0, (q31_t)0xc05fb74e, + (q31_t)0x390b19e0, (q31_t)0xc06113c2, (q31_t)0x38fe9c15, (q31_t)0xc06272aa, + (q31_t)0x38f21e8e, (q31_t)0xc063d405, (q31_t)0x38e5a14d, (q31_t)0xc06537d4, + (q31_t)0x38d92452, (q31_t)0xc0669e18, (q31_t)0x38cca79e, (q31_t)0xc06806ce, + (q31_t)0x38c02b31, (q31_t)0xc06971f9, (q31_t)0x38b3af0c, (q31_t)0xc06adf97, + (q31_t)0x38a7332e, (q31_t)0xc06c4fa8, (q31_t)0x389ab799, (q31_t)0xc06dc22e, + (q31_t)0x388e3c4d, (q31_t)0xc06f3726, (q31_t)0x3881c14b, (q31_t)0xc070ae92, + (q31_t)0x38754692, (q31_t)0xc0722871, (q31_t)0x3868cc24, (q31_t)0xc073a4c3, + (q31_t)0x385c5201, (q31_t)0xc0752389, (q31_t)0x384fd829, (q31_t)0xc076a4c2, + (q31_t)0x38435e9d, (q31_t)0xc078286e, (q31_t)0x3836e55d, (q31_t)0xc079ae8c, + (q31_t)0x382a6c6a, (q31_t)0xc07b371e, (q31_t)0x381df3c5, (q31_t)0xc07cc223, + (q31_t)0x38117b6d, (q31_t)0xc07e4f9b, (q31_t)0x38050364, (q31_t)0xc07fdf85, + (q31_t)0x37f88ba9, (q31_t)0xc08171e2, (q31_t)0x37ec143e, (q31_t)0xc08306b2, + (q31_t)0x37df9d22, (q31_t)0xc0849df4, (q31_t)0x37d32657, (q31_t)0xc08637a9, + (q31_t)0x37c6afdc, (q31_t)0xc087d3d0, (q31_t)0x37ba39b3, (q31_t)0xc089726a, + (q31_t)0x37adc3db, (q31_t)0xc08b1376, (q31_t)0x37a14e55, (q31_t)0xc08cb6f5, + (q31_t)0x3794d922, (q31_t)0xc08e5ce5, (q31_t)0x37886442, (q31_t)0xc0900548, + (q31_t)0x377befb5, (q31_t)0xc091b01d, (q31_t)0x376f7b7d, (q31_t)0xc0935d64, + (q31_t)0x37630799, (q31_t)0xc0950d1d, (q31_t)0x3756940a, (q31_t)0xc096bf48, + (q31_t)0x374a20d0, (q31_t)0xc09873e4, (q31_t)0x373daded, (q31_t)0xc09a2af3, + (q31_t)0x37313b60, (q31_t)0xc09be473, (q31_t)0x3724c92a, (q31_t)0xc09da065, + (q31_t)0x3718574b, (q31_t)0xc09f5ec8, (q31_t)0x370be5c4, (q31_t)0xc0a11f9d, + (q31_t)0x36ff7496, (q31_t)0xc0a2e2e3, (q31_t)0x36f303c0, (q31_t)0xc0a4a89b, + (q31_t)0x36e69344, (q31_t)0xc0a670c4, (q31_t)0x36da2321, (q31_t)0xc0a83b5e, + (q31_t)0x36cdb359, (q31_t)0xc0aa086a, (q31_t)0x36c143ec, (q31_t)0xc0abd7e6, + (q31_t)0x36b4d4d9, (q31_t)0xc0ada9d4, (q31_t)0x36a86623, (q31_t)0xc0af7e33, + (q31_t)0x369bf7c9, (q31_t)0xc0b15502, (q31_t)0x368f89cb, (q31_t)0xc0b32e42, + (q31_t)0x36831c2b, (q31_t)0xc0b509f3, (q31_t)0x3676aee8, (q31_t)0xc0b6e815, + (q31_t)0x366a4203, (q31_t)0xc0b8c8a7, (q31_t)0x365dd57d, (q31_t)0xc0baabaa, + (q31_t)0x36516956, (q31_t)0xc0bc911d, (q31_t)0x3644fd8f, (q31_t)0xc0be7901, + (q31_t)0x36389228, (q31_t)0xc0c06355, 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(q31_t)0x384fd829, (q31_t)0x3f895b3e, + (q31_t)0x385c5201, (q31_t)0x3f8adc77, (q31_t)0x3868cc24, (q31_t)0x3f8c5b3d, + (q31_t)0x38754692, (q31_t)0x3f8dd78f, (q31_t)0x3881c14b, (q31_t)0x3f8f516e, + (q31_t)0x388e3c4d, (q31_t)0x3f90c8da, (q31_t)0x389ab799, (q31_t)0x3f923dd2, + (q31_t)0x38a7332e, (q31_t)0x3f93b058, (q31_t)0x38b3af0c, (q31_t)0x3f952069, + (q31_t)0x38c02b31, (q31_t)0x3f968e07, (q31_t)0x38cca79e, (q31_t)0x3f97f932, + (q31_t)0x38d92452, (q31_t)0x3f9961e8, (q31_t)0x38e5a14d, (q31_t)0x3f9ac82c, + (q31_t)0x38f21e8e, (q31_t)0x3f9c2bfb, (q31_t)0x38fe9c15, (q31_t)0x3f9d8d56, + (q31_t)0x390b19e0, (q31_t)0x3f9eec3e, (q31_t)0x391797f0, (q31_t)0x3fa048b2, + (q31_t)0x39241645, (q31_t)0x3fa1a2b2, (q31_t)0x393094dd, (q31_t)0x3fa2fa3d, + (q31_t)0x393d13b8, (q31_t)0x3fa44f55, (q31_t)0x394992d7, (q31_t)0x3fa5a1f9, + (q31_t)0x39561237, (q31_t)0x3fa6f228, (q31_t)0x396291d9, (q31_t)0x3fa83fe3, + (q31_t)0x396f11bc, (q31_t)0x3fa98b2a, (q31_t)0x397b91e1, (q31_t)0x3faad3fd, + (q31_t)0x39881245, (q31_t)0x3fac1a5b, (q31_t)0x399492ea, (q31_t)0x3fad5e45, + (q31_t)0x39a113cd, (q31_t)0x3fae9fbb, (q31_t)0x39ad94f0, (q31_t)0x3fafdebb, + (q31_t)0x39ba1651, (q31_t)0x3fb11b48, (q31_t)0x39c697f0, (q31_t)0x3fb2555f, + (q31_t)0x39d319cc, (q31_t)0x3fb38d02, (q31_t)0x39df9be6, (q31_t)0x3fb4c231, + (q31_t)0x39ec1e3b, (q31_t)0x3fb5f4ea, (q31_t)0x39f8a0cd, (q31_t)0x3fb7252f, + (q31_t)0x3a05239a, (q31_t)0x3fb852ff, (q31_t)0x3a11a6a3, (q31_t)0x3fb97e5a, + (q31_t)0x3a1e29e5, (q31_t)0x3fbaa740, (q31_t)0x3a2aad62, (q31_t)0x3fbbcdb1, + (q31_t)0x3a373119, (q31_t)0x3fbcf1ad, (q31_t)0x3a43b508, (q31_t)0x3fbe1334, + (q31_t)0x3a503930, (q31_t)0x3fbf3246, (q31_t)0x3a5cbd91, (q31_t)0x3fc04ee3, + (q31_t)0x3a694229, (q31_t)0x3fc1690a, (q31_t)0x3a75c6f8, (q31_t)0x3fc280bc, + (q31_t)0x3a824bfd, (q31_t)0x3fc395f9, (q31_t)0x3a8ed139, (q31_t)0x3fc4a8c1, + (q31_t)0x3a9b56ab, (q31_t)0x3fc5b913, (q31_t)0x3aa7dc52, (q31_t)0x3fc6c6f0, + (q31_t)0x3ab4622d, (q31_t)0x3fc7d258, (q31_t)0x3ac0e83d, (q31_t)0x3fc8db4a, + (q31_t)0x3acd6e81, (q31_t)0x3fc9e1c6, (q31_t)0x3ad9f4f8, (q31_t)0x3fcae5cd, + (q31_t)0x3ae67ba2, (q31_t)0x3fcbe75e, (q31_t)0x3af3027e, (q31_t)0x3fcce67a, + (q31_t)0x3aff898c, (q31_t)0x3fcde320, (q31_t)0x3b0c10cb, (q31_t)0x3fcedd50, + (q31_t)0x3b18983b, (q31_t)0x3fcfd50b, (q31_t)0x3b251fdc, (q31_t)0x3fd0ca4f, + (q31_t)0x3b31a7ac, (q31_t)0x3fd1bd1e, (q31_t)0x3b3e2fac, (q31_t)0x3fd2ad77, + (q31_t)0x3b4ab7db, (q31_t)0x3fd39b5a, (q31_t)0x3b574039, (q31_t)0x3fd486c7, + (q31_t)0x3b63c8c4, (q31_t)0x3fd56fbe, (q31_t)0x3b70517d, (q31_t)0x3fd6563f, + (q31_t)0x3b7cda63, (q31_t)0x3fd73a4a, (q31_t)0x3b896375, (q31_t)0x3fd81bdf, + (q31_t)0x3b95ecb4, (q31_t)0x3fd8fafe, (q31_t)0x3ba2761e, (q31_t)0x3fd9d7a7, + (q31_t)0x3baeffb3, (q31_t)0x3fdab1d9, (q31_t)0x3bbb8973, (q31_t)0x3fdb8996, + (q31_t)0x3bc8135c, (q31_t)0x3fdc5edc, (q31_t)0x3bd49d70, (q31_t)0x3fdd31ac, + (q31_t)0x3be127ac, (q31_t)0x3fde0205, (q31_t)0x3bedb212, (q31_t)0x3fdecfe8, + (q31_t)0x3bfa3c9f, (q31_t)0x3fdf9b55, (q31_t)0x3c06c754, (q31_t)0x3fe0644b, + (q31_t)0x3c135231, (q31_t)0x3fe12acb, (q31_t)0x3c1fdd34, (q31_t)0x3fe1eed5, + (q31_t)0x3c2c685d, (q31_t)0x3fe2b067, (q31_t)0x3c38f3ac, (q31_t)0x3fe36f84, + (q31_t)0x3c457f21, (q31_t)0x3fe42c2a, (q31_t)0x3c520aba, (q31_t)0x3fe4e659, + (q31_t)0x3c5e9678, (q31_t)0x3fe59e12, (q31_t)0x3c6b2259, (q31_t)0x3fe65354, + (q31_t)0x3c77ae5e, (q31_t)0x3fe7061f, (q31_t)0x3c843a85, (q31_t)0x3fe7b674, + (q31_t)0x3c90c6cf, (q31_t)0x3fe86452, (q31_t)0x3c9d533b, (q31_t)0x3fe90fb9, + (q31_t)0x3ca9dfc8, (q31_t)0x3fe9b8a9, (q31_t)0x3cb66c77, (q31_t)0x3fea5f23, + (q31_t)0x3cc2f945, (q31_t)0x3feb0326, (q31_t)0x3ccf8634, (q31_t)0x3feba4b2, + (q31_t)0x3cdc1342, (q31_t)0x3fec43c7, (q31_t)0x3ce8a06f, (q31_t)0x3fece065, + (q31_t)0x3cf52dbb, (q31_t)0x3fed7a8c, (q31_t)0x3d01bb24, (q31_t)0x3fee123d, + (q31_t)0x3d0e48ab, (q31_t)0x3feea776, (q31_t)0x3d1ad650, (q31_t)0x3fef3a39, + (q31_t)0x3d276410, (q31_t)0x3fefca84, (q31_t)0x3d33f1ed, (q31_t)0x3ff05858, + (q31_t)0x3d407fe6, (q31_t)0x3ff0e3b6, (q31_t)0x3d4d0df9, (q31_t)0x3ff16c9c, + (q31_t)0x3d599c28, (q31_t)0x3ff1f30b, (q31_t)0x3d662a70, (q31_t)0x3ff27703, + (q31_t)0x3d72b8d2, (q31_t)0x3ff2f884, (q31_t)0x3d7f474d, (q31_t)0x3ff3778e, + (q31_t)0x3d8bd5e1, (q31_t)0x3ff3f420, (q31_t)0x3d98648d, (q31_t)0x3ff46e3c, + (q31_t)0x3da4f351, (q31_t)0x3ff4e5e0, (q31_t)0x3db1822c, (q31_t)0x3ff55b0d, + (q31_t)0x3dbe111e, (q31_t)0x3ff5cdc3, (q31_t)0x3dcaa027, (q31_t)0x3ff63e01, + (q31_t)0x3dd72f45, (q31_t)0x3ff6abc8, (q31_t)0x3de3be78, (q31_t)0x3ff71718, + (q31_t)0x3df04dc0, (q31_t)0x3ff77ff1, (q31_t)0x3dfcdd1d, (q31_t)0x3ff7e652, + (q31_t)0x3e096c8d, (q31_t)0x3ff84a3c, (q31_t)0x3e15fc11, (q31_t)0x3ff8abae, + (q31_t)0x3e228ba7, (q31_t)0x3ff90aaa, (q31_t)0x3e2f1b50, (q31_t)0x3ff9672d, + (q31_t)0x3e3bab0b, (q31_t)0x3ff9c13a, (q31_t)0x3e483ad8, (q31_t)0x3ffa18cf, + (q31_t)0x3e54cab5, (q31_t)0x3ffa6dec, (q31_t)0x3e615aa3, (q31_t)0x3ffac092, + (q31_t)0x3e6deaa1, (q31_t)0x3ffb10c1, (q31_t)0x3e7a7aae, (q31_t)0x3ffb5e78, + (q31_t)0x3e870aca, (q31_t)0x3ffba9b8, (q31_t)0x3e939af5, (q31_t)0x3ffbf280, + (q31_t)0x3ea02b2e, (q31_t)0x3ffc38d1, (q31_t)0x3eacbb74, (q31_t)0x3ffc7caa, + (q31_t)0x3eb94bc8, (q31_t)0x3ffcbe0c, (q31_t)0x3ec5dc28, (q31_t)0x3ffcfcf6, + (q31_t)0x3ed26c94, (q31_t)0x3ffd3969, (q31_t)0x3edefd0c, (q31_t)0x3ffd7364, + (q31_t)0x3eeb8d8f, (q31_t)0x3ffdaae7, (q31_t)0x3ef81e1d, (q31_t)0x3ffddff3, + (q31_t)0x3f04aeb5, (q31_t)0x3ffe1288, (q31_t)0x3f113f56, (q31_t)0x3ffe42a4, + (q31_t)0x3f1dd001, (q31_t)0x3ffe704a, (q31_t)0x3f2a60b4, (q31_t)0x3ffe9b77, + (q31_t)0x3f36f170, (q31_t)0x3ffec42d, (q31_t)0x3f438234, (q31_t)0x3ffeea6c, + (q31_t)0x3f5012fe, (q31_t)0x3fff0e32, (q31_t)0x3f5ca3d0, (q31_t)0x3fff2f82, + (q31_t)0x3f6934a8, (q31_t)0x3fff4e59, (q31_t)0x3f75c585, (q31_t)0x3fff6ab9, + (q31_t)0x3f825668, (q31_t)0x3fff84a1, (q31_t)0x3f8ee750, (q31_t)0x3fff9c12, + (q31_t)0x3f9b783c, (q31_t)0x3fffb10b, (q31_t)0x3fa8092c, (q31_t)0x3fffc38c, + (q31_t)0x3fb49a1f, (q31_t)0x3fffd396, (q31_t)0x3fc12b16, (q31_t)0x3fffe128, + (q31_t)0x3fcdbc0f, (q31_t)0x3fffec43, (q31_t)0x3fda4d09, (q31_t)0x3ffff4e6, + (q31_t)0x3fe6de05, (q31_t)0x3ffffb11, (q31_t)0x3ff36f02, (q31_t)0x3ffffec4, +}; + + +/** +* \par +* Generation of realCoefBQ31 array: +* \par +* n = 4096 +*
for (i = 0; i < n; i++)
+* {
+*    pBTable[2 * i] = 0.5 * (1.0 + sin (2 * PI / (double) (2 * n) * (double) i));
+*    pBTable[2 * i + 1] = 0.5 * (1.0 * cos (2 * PI / (double) (2 * n) * (double) i));
+* } 
+* \par +* Convert to fixed point Q31 format +* round(pBTable[i] * pow(2, 31)) +* +*/ + +const q31_t realCoefBQ31[8192] = { + (q31_t)0x40000000, (q31_t)0x40000000, (q31_t)0x400c90fe, (q31_t)0x3ffffec4, + (q31_t)0x401921fb, (q31_t)0x3ffffb11, (q31_t)0x4025b2f7, (q31_t)0x3ffff4e6, + (q31_t)0x403243f1, (q31_t)0x3fffec43, (q31_t)0x403ed4ea, (q31_t)0x3fffe128, + (q31_t)0x404b65e1, (q31_t)0x3fffd396, (q31_t)0x4057f6d4, (q31_t)0x3fffc38c, + (q31_t)0x406487c4, (q31_t)0x3fffb10b, (q31_t)0x407118b0, (q31_t)0x3fff9c12, + (q31_t)0x407da998, (q31_t)0x3fff84a1, (q31_t)0x408a3a7b, (q31_t)0x3fff6ab9, + (q31_t)0x4096cb58, (q31_t)0x3fff4e59, (q31_t)0x40a35c30, (q31_t)0x3fff2f82, + (q31_t)0x40afed02, (q31_t)0x3fff0e32, (q31_t)0x40bc7dcc, (q31_t)0x3ffeea6c, + (q31_t)0x40c90e90, (q31_t)0x3ffec42d, (q31_t)0x40d59f4c, (q31_t)0x3ffe9b77, + (q31_t)0x40e22fff, (q31_t)0x3ffe704a, (q31_t)0x40eec0aa, (q31_t)0x3ffe42a4, + (q31_t)0x40fb514b, (q31_t)0x3ffe1288, (q31_t)0x4107e1e3, (q31_t)0x3ffddff3, + (q31_t)0x41147271, (q31_t)0x3ffdaae7, (q31_t)0x412102f4, (q31_t)0x3ffd7364, + (q31_t)0x412d936c, (q31_t)0x3ffd3969, (q31_t)0x413a23d8, (q31_t)0x3ffcfcf6, + (q31_t)0x4146b438, (q31_t)0x3ffcbe0c, (q31_t)0x4153448c, (q31_t)0x3ffc7caa, + (q31_t)0x415fd4d2, (q31_t)0x3ffc38d1, (q31_t)0x416c650b, (q31_t)0x3ffbf280, + (q31_t)0x4178f536, (q31_t)0x3ffba9b8, (q31_t)0x41858552, (q31_t)0x3ffb5e78, + (q31_t)0x4192155f, (q31_t)0x3ffb10c1, (q31_t)0x419ea55d, (q31_t)0x3ffac092, + (q31_t)0x41ab354b, (q31_t)0x3ffa6dec, (q31_t)0x41b7c528, (q31_t)0x3ffa18cf, + (q31_t)0x41c454f5, (q31_t)0x3ff9c13a, (q31_t)0x41d0e4b0, (q31_t)0x3ff9672d, + (q31_t)0x41dd7459, (q31_t)0x3ff90aaa, (q31_t)0x41ea03ef, (q31_t)0x3ff8abae, + (q31_t)0x41f69373, (q31_t)0x3ff84a3c, (q31_t)0x420322e3, (q31_t)0x3ff7e652, + (q31_t)0x420fb240, (q31_t)0x3ff77ff1, (q31_t)0x421c4188, (q31_t)0x3ff71718, + (q31_t)0x4228d0bb, (q31_t)0x3ff6abc8, (q31_t)0x42355fd9, (q31_t)0x3ff63e01, + (q31_t)0x4241eee2, (q31_t)0x3ff5cdc3, (q31_t)0x424e7dd4, (q31_t)0x3ff55b0d, + (q31_t)0x425b0caf, (q31_t)0x3ff4e5e0, (q31_t)0x42679b73, (q31_t)0x3ff46e3c, + (q31_t)0x42742a1f, (q31_t)0x3ff3f420, (q31_t)0x4280b8b3, (q31_t)0x3ff3778e, + (q31_t)0x428d472e, (q31_t)0x3ff2f884, (q31_t)0x4299d590, (q31_t)0x3ff27703, + (q31_t)0x42a663d8, (q31_t)0x3ff1f30b, (q31_t)0x42b2f207, (q31_t)0x3ff16c9c, + (q31_t)0x42bf801a, (q31_t)0x3ff0e3b6, (q31_t)0x42cc0e13, (q31_t)0x3ff05858, + (q31_t)0x42d89bf0, (q31_t)0x3fefca84, (q31_t)0x42e529b0, (q31_t)0x3fef3a39, + (q31_t)0x42f1b755, (q31_t)0x3feea776, (q31_t)0x42fe44dc, (q31_t)0x3fee123d, + (q31_t)0x430ad245, (q31_t)0x3fed7a8c, (q31_t)0x43175f91, (q31_t)0x3fece065, + (q31_t)0x4323ecbe, (q31_t)0x3fec43c7, (q31_t)0x433079cc, (q31_t)0x3feba4b2, + (q31_t)0x433d06bb, (q31_t)0x3feb0326, (q31_t)0x43499389, (q31_t)0x3fea5f23, + (q31_t)0x43562038, (q31_t)0x3fe9b8a9, (q31_t)0x4362acc5, (q31_t)0x3fe90fb9, + (q31_t)0x436f3931, (q31_t)0x3fe86452, (q31_t)0x437bc57b, (q31_t)0x3fe7b674, + (q31_t)0x438851a2, (q31_t)0x3fe7061f, (q31_t)0x4394dda7, (q31_t)0x3fe65354, + (q31_t)0x43a16988, (q31_t)0x3fe59e12, (q31_t)0x43adf546, (q31_t)0x3fe4e659, + (q31_t)0x43ba80df, (q31_t)0x3fe42c2a, (q31_t)0x43c70c54, (q31_t)0x3fe36f84, + (q31_t)0x43d397a3, (q31_t)0x3fe2b067, (q31_t)0x43e022cc, (q31_t)0x3fe1eed5, + (q31_t)0x43ecadcf, (q31_t)0x3fe12acb, (q31_t)0x43f938ac, (q31_t)0x3fe0644b, + (q31_t)0x4405c361, (q31_t)0x3fdf9b55, (q31_t)0x44124dee, (q31_t)0x3fdecfe8, + (q31_t)0x441ed854, (q31_t)0x3fde0205, (q31_t)0x442b6290, (q31_t)0x3fdd31ac, + (q31_t)0x4437eca4, (q31_t)0x3fdc5edc, (q31_t)0x4444768d, (q31_t)0x3fdb8996, + (q31_t)0x4451004d, (q31_t)0x3fdab1d9, (q31_t)0x445d89e2, (q31_t)0x3fd9d7a7, + (q31_t)0x446a134c, (q31_t)0x3fd8fafe, (q31_t)0x44769c8b, (q31_t)0x3fd81bdf, + (q31_t)0x4483259d, (q31_t)0x3fd73a4a, (q31_t)0x448fae83, (q31_t)0x3fd6563f, + (q31_t)0x449c373c, (q31_t)0x3fd56fbe, (q31_t)0x44a8bfc7, (q31_t)0x3fd486c7, + (q31_t)0x44b54825, (q31_t)0x3fd39b5a, (q31_t)0x44c1d054, (q31_t)0x3fd2ad77, + (q31_t)0x44ce5854, (q31_t)0x3fd1bd1e, (q31_t)0x44dae024, (q31_t)0x3fd0ca4f, + (q31_t)0x44e767c5, (q31_t)0x3fcfd50b, (q31_t)0x44f3ef35, (q31_t)0x3fcedd50, + (q31_t)0x45007674, (q31_t)0x3fcde320, (q31_t)0x450cfd82, (q31_t)0x3fcce67a, + (q31_t)0x4519845e, (q31_t)0x3fcbe75e, (q31_t)0x45260b08, (q31_t)0x3fcae5cd, + (q31_t)0x4532917f, (q31_t)0x3fc9e1c6, (q31_t)0x453f17c3, (q31_t)0x3fc8db4a, + (q31_t)0x454b9dd3, (q31_t)0x3fc7d258, (q31_t)0x455823ae, (q31_t)0x3fc6c6f0, + (q31_t)0x4564a955, (q31_t)0x3fc5b913, (q31_t)0x45712ec7, (q31_t)0x3fc4a8c1, + (q31_t)0x457db403, (q31_t)0x3fc395f9, (q31_t)0x458a3908, (q31_t)0x3fc280bc, + (q31_t)0x4596bdd7, (q31_t)0x3fc1690a, (q31_t)0x45a3426f, (q31_t)0x3fc04ee3, + (q31_t)0x45afc6d0, (q31_t)0x3fbf3246, (q31_t)0x45bc4af8, (q31_t)0x3fbe1334, + (q31_t)0x45c8cee7, (q31_t)0x3fbcf1ad, (q31_t)0x45d5529e, (q31_t)0x3fbbcdb1, + (q31_t)0x45e1d61b, (q31_t)0x3fbaa740, (q31_t)0x45ee595d, (q31_t)0x3fb97e5a, + (q31_t)0x45fadc66, (q31_t)0x3fb852ff, (q31_t)0x46075f33, (q31_t)0x3fb7252f, + (q31_t)0x4613e1c5, (q31_t)0x3fb5f4ea, (q31_t)0x4620641a, (q31_t)0x3fb4c231, + (q31_t)0x462ce634, (q31_t)0x3fb38d02, (q31_t)0x46396810, (q31_t)0x3fb2555f, + (q31_t)0x4645e9af, (q31_t)0x3fb11b48, (q31_t)0x46526b10, (q31_t)0x3fafdebb, + (q31_t)0x465eec33, (q31_t)0x3fae9fbb, (q31_t)0x466b6d16, (q31_t)0x3fad5e45, + (q31_t)0x4677edbb, (q31_t)0x3fac1a5b, (q31_t)0x46846e1f, (q31_t)0x3faad3fd, + (q31_t)0x4690ee44, (q31_t)0x3fa98b2a, (q31_t)0x469d6e27, (q31_t)0x3fa83fe3, + (q31_t)0x46a9edc9, (q31_t)0x3fa6f228, (q31_t)0x46b66d29, (q31_t)0x3fa5a1f9, + (q31_t)0x46c2ec48, (q31_t)0x3fa44f55, (q31_t)0x46cf6b23, (q31_t)0x3fa2fa3d, + (q31_t)0x46dbe9bb, (q31_t)0x3fa1a2b2, (q31_t)0x46e86810, (q31_t)0x3fa048b2, + (q31_t)0x46f4e620, (q31_t)0x3f9eec3e, (q31_t)0x470163eb, (q31_t)0x3f9d8d56, + (q31_t)0x470de172, (q31_t)0x3f9c2bfb, (q31_t)0x471a5eb3, (q31_t)0x3f9ac82c, + (q31_t)0x4726dbae, (q31_t)0x3f9961e8, (q31_t)0x47335862, (q31_t)0x3f97f932, + (q31_t)0x473fd4cf, (q31_t)0x3f968e07, (q31_t)0x474c50f4, (q31_t)0x3f952069, + (q31_t)0x4758ccd2, (q31_t)0x3f93b058, (q31_t)0x47654867, (q31_t)0x3f923dd2, + (q31_t)0x4771c3b3, (q31_t)0x3f90c8da, (q31_t)0x477e3eb5, (q31_t)0x3f8f516e, + (q31_t)0x478ab96e, (q31_t)0x3f8dd78f, (q31_t)0x479733dc, (q31_t)0x3f8c5b3d, + (q31_t)0x47a3adff, (q31_t)0x3f8adc77, (q31_t)0x47b027d7, (q31_t)0x3f895b3e, + (q31_t)0x47bca163, (q31_t)0x3f87d792, (q31_t)0x47c91aa3, (q31_t)0x3f865174, + (q31_t)0x47d59396, (q31_t)0x3f84c8e2, (q31_t)0x47e20c3b, (q31_t)0x3f833ddd, + (q31_t)0x47ee8493, (q31_t)0x3f81b065, (q31_t)0x47fafc9c, (q31_t)0x3f80207b, + (q31_t)0x48077457, (q31_t)0x3f7e8e1e, (q31_t)0x4813ebc2, (q31_t)0x3f7cf94e, + (q31_t)0x482062de, (q31_t)0x3f7b620c, (q31_t)0x482cd9a9, (q31_t)0x3f79c857, + (q31_t)0x48395024, (q31_t)0x3f782c30, (q31_t)0x4845c64d, (q31_t)0x3f768d96, + (q31_t)0x48523c25, (q31_t)0x3f74ec8a, (q31_t)0x485eb1ab, (q31_t)0x3f73490b, + (q31_t)0x486b26de, (q31_t)0x3f71a31b, (q31_t)0x48779bbe, (q31_t)0x3f6ffab8, + (q31_t)0x4884104b, (q31_t)0x3f6e4fe3, (q31_t)0x48908483, (q31_t)0x3f6ca29c, + (q31_t)0x489cf867, (q31_t)0x3f6af2e3, (q31_t)0x48a96bf6, (q31_t)0x3f6940b8, + (q31_t)0x48b5df30, (q31_t)0x3f678c1c, (q31_t)0x48c25213, (q31_t)0x3f65d50d, + (q31_t)0x48cec4a0, (q31_t)0x3f641b8d, (q31_t)0x48db36d6, (q31_t)0x3f625f9b, + (q31_t)0x48e7a8b5, (q31_t)0x3f60a138, (q31_t)0x48f41a3c, (q31_t)0x3f5ee063, + (q31_t)0x49008b6a, (q31_t)0x3f5d1d1d, (q31_t)0x490cfc40, (q31_t)0x3f5b5765, + (q31_t)0x49196cbc, (q31_t)0x3f598f3c, (q31_t)0x4925dcdf, (q31_t)0x3f57c4a2, + (q31_t)0x49324ca7, (q31_t)0x3f55f796, (q31_t)0x493ebc14, (q31_t)0x3f54281a, + (q31_t)0x494b2b27, (q31_t)0x3f52562c, (q31_t)0x495799dd, (q31_t)0x3f5081cd, + (q31_t)0x49640837, (q31_t)0x3f4eaafe, (q31_t)0x49707635, (q31_t)0x3f4cd1be, + (q31_t)0x497ce3d5, (q31_t)0x3f4af60d, (q31_t)0x49895118, (q31_t)0x3f4917eb, + (q31_t)0x4995bdfd, (q31_t)0x3f473759, (q31_t)0x49a22a83, (q31_t)0x3f455456, + (q31_t)0x49ae96aa, (q31_t)0x3f436ee3, (q31_t)0x49bb0271, (q31_t)0x3f4186ff, + (q31_t)0x49c76dd8, (q31_t)0x3f3f9cab, (q31_t)0x49d3d8df, (q31_t)0x3f3dafe7, + (q31_t)0x49e04385, (q31_t)0x3f3bc0b3, (q31_t)0x49ecadc9, (q31_t)0x3f39cf0e, + (q31_t)0x49f917ac, (q31_t)0x3f37dafa, (q31_t)0x4a05812c, (q31_t)0x3f35e476, + (q31_t)0x4a11ea49, (q31_t)0x3f33eb81, (q31_t)0x4a1e5303, (q31_t)0x3f31f01d, + (q31_t)0x4a2abb59, (q31_t)0x3f2ff24a, (q31_t)0x4a37234a, (q31_t)0x3f2df206, + (q31_t)0x4a438ad7, (q31_t)0x3f2bef53, (q31_t)0x4a4ff1fe, (q31_t)0x3f29ea31, + (q31_t)0x4a5c58c0, (q31_t)0x3f27e29f, (q31_t)0x4a68bf1b, (q31_t)0x3f25d89e, + (q31_t)0x4a752510, (q31_t)0x3f23cc2e, (q31_t)0x4a818a9d, (q31_t)0x3f21bd4e, + (q31_t)0x4a8defc3, (q31_t)0x3f1fabff, (q31_t)0x4a9a5480, (q31_t)0x3f1d9842, + (q31_t)0x4aa6b8d5, (q31_t)0x3f1b8215, (q31_t)0x4ab31cc1, (q31_t)0x3f19697a, + (q31_t)0x4abf8043, (q31_t)0x3f174e70, (q31_t)0x4acbe35b, (q31_t)0x3f1530f7, + (q31_t)0x4ad84609, (q31_t)0x3f13110f, (q31_t)0x4ae4a84b, (q31_t)0x3f10eeb9, + (q31_t)0x4af10a22, (q31_t)0x3f0ec9f5, (q31_t)0x4afd6b8d, (q31_t)0x3f0ca2c2, + (q31_t)0x4b09cc8c, (q31_t)0x3f0a7921, (q31_t)0x4b162d1d, (q31_t)0x3f084d12, + (q31_t)0x4b228d42, (q31_t)0x3f061e95, (q31_t)0x4b2eecf8, (q31_t)0x3f03eda9, + (q31_t)0x4b3b4c40, (q31_t)0x3f01ba50, (q31_t)0x4b47ab19, (q31_t)0x3eff8489, + (q31_t)0x4b540982, (q31_t)0x3efd4c54, (q31_t)0x4b60677c, (q31_t)0x3efb11b1, + (q31_t)0x4b6cc506, (q31_t)0x3ef8d4a1, (q31_t)0x4b79221f, (q31_t)0x3ef69523, + (q31_t)0x4b857ec7, (q31_t)0x3ef45338, (q31_t)0x4b91dafc, (q31_t)0x3ef20ee0, + (q31_t)0x4b9e36c0, (q31_t)0x3eefc81a, (q31_t)0x4baa9211, (q31_t)0x3eed7ee7, + (q31_t)0x4bb6ecef, (q31_t)0x3eeb3347, (q31_t)0x4bc34759, (q31_t)0x3ee8e53a, + (q31_t)0x4bcfa150, (q31_t)0x3ee694c1, (q31_t)0x4bdbfad1, (q31_t)0x3ee441da, + (q31_t)0x4be853de, (q31_t)0x3ee1ec87, (q31_t)0x4bf4ac75, (q31_t)0x3edf94c7, + (q31_t)0x4c010496, (q31_t)0x3edd3a9a, (q31_t)0x4c0d5c41, (q31_t)0x3edade01, + (q31_t)0x4c19b374, (q31_t)0x3ed87efc, (q31_t)0x4c260a31, (q31_t)0x3ed61d8a, + (q31_t)0x4c326075, (q31_t)0x3ed3b9ad, (q31_t)0x4c3eb641, (q31_t)0x3ed15363, + (q31_t)0x4c4b0b94, (q31_t)0x3eceeaad, (q31_t)0x4c57606e, (q31_t)0x3ecc7f8b, + (q31_t)0x4c63b4ce, (q31_t)0x3eca11fe, (q31_t)0x4c7008b3, (q31_t)0x3ec7a205, + (q31_t)0x4c7c5c1e, (q31_t)0x3ec52fa0, (q31_t)0x4c88af0e, (q31_t)0x3ec2bad0, + (q31_t)0x4c950182, (q31_t)0x3ec04394, (q31_t)0x4ca1537a, (q31_t)0x3ebdc9ed, + (q31_t)0x4cada4f5, (q31_t)0x3ebb4ddb, (q31_t)0x4cb9f5f3, (q31_t)0x3eb8cf5d, + (q31_t)0x4cc64673, (q31_t)0x3eb64e75, (q31_t)0x4cd29676, (q31_t)0x3eb3cb21, + (q31_t)0x4cdee5f9, (q31_t)0x3eb14563, (q31_t)0x4ceb34fe, (q31_t)0x3eaebd3a, + (q31_t)0x4cf78383, (q31_t)0x3eac32a6, (q31_t)0x4d03d189, (q31_t)0x3ea9a5a8, + (q31_t)0x4d101f0e, (q31_t)0x3ea7163f, (q31_t)0x4d1c6c11, (q31_t)0x3ea4846c, + (q31_t)0x4d28b894, (q31_t)0x3ea1f02f, (q31_t)0x4d350495, (q31_t)0x3e9f5988, + (q31_t)0x4d415013, (q31_t)0x3e9cc076, (q31_t)0x4d4d9b0e, (q31_t)0x3e9a24fb, + (q31_t)0x4d59e586, (q31_t)0x3e978715, (q31_t)0x4d662f7b, (q31_t)0x3e94e6c6, + (q31_t)0x4d7278eb, (q31_t)0x3e92440d, 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(q31_t)0x495799dd, (q31_t)0xc0af7e33, + (q31_t)0x494b2b27, (q31_t)0xc0ada9d4, (q31_t)0x493ebc14, (q31_t)0xc0abd7e6, + (q31_t)0x49324ca7, (q31_t)0xc0aa086a, (q31_t)0x4925dcdf, (q31_t)0xc0a83b5e, + (q31_t)0x49196cbc, (q31_t)0xc0a670c4, (q31_t)0x490cfc40, (q31_t)0xc0a4a89b, + (q31_t)0x49008b6a, (q31_t)0xc0a2e2e3, (q31_t)0x48f41a3c, (q31_t)0xc0a11f9d, + (q31_t)0x48e7a8b5, (q31_t)0xc09f5ec8, (q31_t)0x48db36d6, (q31_t)0xc09da065, + (q31_t)0x48cec4a0, (q31_t)0xc09be473, (q31_t)0x48c25213, (q31_t)0xc09a2af3, + (q31_t)0x48b5df30, (q31_t)0xc09873e4, (q31_t)0x48a96bf6, (q31_t)0xc096bf48, + (q31_t)0x489cf867, (q31_t)0xc0950d1d, (q31_t)0x48908483, (q31_t)0xc0935d64, + (q31_t)0x4884104b, (q31_t)0xc091b01d, (q31_t)0x48779bbe, (q31_t)0xc0900548, + (q31_t)0x486b26de, (q31_t)0xc08e5ce5, (q31_t)0x485eb1ab, (q31_t)0xc08cb6f5, + (q31_t)0x48523c25, (q31_t)0xc08b1376, (q31_t)0x4845c64d, (q31_t)0xc089726a, + (q31_t)0x48395024, (q31_t)0xc087d3d0, (q31_t)0x482cd9a9, (q31_t)0xc08637a9, + (q31_t)0x482062de, 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(q31_t)0x46dbe9bb, (q31_t)0xc05e5d4e, (q31_t)0x46cf6b23, (q31_t)0xc05d05c3, + (q31_t)0x46c2ec48, (q31_t)0xc05bb0ab, (q31_t)0x46b66d29, (q31_t)0xc05a5e07, + (q31_t)0x46a9edc9, (q31_t)0xc0590dd8, (q31_t)0x469d6e27, (q31_t)0xc057c01d, + (q31_t)0x4690ee44, (q31_t)0xc05674d6, (q31_t)0x46846e1f, (q31_t)0xc0552c03, + (q31_t)0x4677edbb, (q31_t)0xc053e5a5, (q31_t)0x466b6d16, (q31_t)0xc052a1bb, + (q31_t)0x465eec33, (q31_t)0xc0516045, (q31_t)0x46526b10, (q31_t)0xc0502145, + (q31_t)0x4645e9af, (q31_t)0xc04ee4b8, (q31_t)0x46396810, (q31_t)0xc04daaa1, + (q31_t)0x462ce634, (q31_t)0xc04c72fe, (q31_t)0x4620641a, (q31_t)0xc04b3dcf, + (q31_t)0x4613e1c5, (q31_t)0xc04a0b16, (q31_t)0x46075f33, (q31_t)0xc048dad1, + (q31_t)0x45fadc66, (q31_t)0xc047ad01, (q31_t)0x45ee595d, (q31_t)0xc04681a6, + (q31_t)0x45e1d61b, (q31_t)0xc04558c0, (q31_t)0x45d5529e, (q31_t)0xc044324f, + (q31_t)0x45c8cee7, (q31_t)0xc0430e53, (q31_t)0x45bc4af8, (q31_t)0xc041eccc, + (q31_t)0x45afc6d0, (q31_t)0xc040cdba, (q31_t)0x45a3426f, (q31_t)0xc03fb11d, + (q31_t)0x4596bdd7, (q31_t)0xc03e96f6, (q31_t)0x458a3908, (q31_t)0xc03d7f44, + (q31_t)0x457db403, (q31_t)0xc03c6a07, (q31_t)0x45712ec7, (q31_t)0xc03b573f, + (q31_t)0x4564a955, (q31_t)0xc03a46ed, (q31_t)0x455823ae, (q31_t)0xc0393910, + (q31_t)0x454b9dd3, (q31_t)0xc0382da8, (q31_t)0x453f17c3, (q31_t)0xc03724b6, + (q31_t)0x4532917f, (q31_t)0xc0361e3a, (q31_t)0x45260b08, (q31_t)0xc0351a33, + (q31_t)0x4519845e, (q31_t)0xc03418a2, (q31_t)0x450cfd82, (q31_t)0xc0331986, + (q31_t)0x45007674, (q31_t)0xc0321ce0, (q31_t)0x44f3ef35, (q31_t)0xc03122b0, + (q31_t)0x44e767c5, (q31_t)0xc0302af5, (q31_t)0x44dae024, (q31_t)0xc02f35b1, + (q31_t)0x44ce5854, (q31_t)0xc02e42e2, (q31_t)0x44c1d054, (q31_t)0xc02d5289, + (q31_t)0x44b54825, (q31_t)0xc02c64a6, (q31_t)0x44a8bfc7, (q31_t)0xc02b7939, + (q31_t)0x449c373c, (q31_t)0xc02a9042, (q31_t)0x448fae83, (q31_t)0xc029a9c1, + (q31_t)0x4483259d, (q31_t)0xc028c5b6, (q31_t)0x44769c8b, (q31_t)0xc027e421, + (q31_t)0x446a134c, (q31_t)0xc0270502, (q31_t)0x445d89e2, (q31_t)0xc0262859, + (q31_t)0x4451004d, (q31_t)0xc0254e27, (q31_t)0x4444768d, (q31_t)0xc024766a, + (q31_t)0x4437eca4, (q31_t)0xc023a124, (q31_t)0x442b6290, (q31_t)0xc022ce54, + (q31_t)0x441ed854, (q31_t)0xc021fdfb, (q31_t)0x44124dee, (q31_t)0xc0213018, + (q31_t)0x4405c361, (q31_t)0xc02064ab, (q31_t)0x43f938ac, (q31_t)0xc01f9bb5, + (q31_t)0x43ecadcf, (q31_t)0xc01ed535, (q31_t)0x43e022cc, (q31_t)0xc01e112b, + (q31_t)0x43d397a3, (q31_t)0xc01d4f99, (q31_t)0x43c70c54, (q31_t)0xc01c907c, + (q31_t)0x43ba80df, (q31_t)0xc01bd3d6, (q31_t)0x43adf546, (q31_t)0xc01b19a7, + (q31_t)0x43a16988, (q31_t)0xc01a61ee, (q31_t)0x4394dda7, (q31_t)0xc019acac, + (q31_t)0x438851a2, (q31_t)0xc018f9e1, (q31_t)0x437bc57b, (q31_t)0xc018498c, + (q31_t)0x436f3931, (q31_t)0xc0179bae, (q31_t)0x4362acc5, (q31_t)0xc016f047, + (q31_t)0x43562038, (q31_t)0xc0164757, (q31_t)0x43499389, (q31_t)0xc015a0dd, + (q31_t)0x433d06bb, (q31_t)0xc014fcda, (q31_t)0x433079cc, (q31_t)0xc0145b4e, + (q31_t)0x4323ecbe, (q31_t)0xc013bc39, (q31_t)0x43175f91, (q31_t)0xc0131f9b, + (q31_t)0x430ad245, (q31_t)0xc0128574, (q31_t)0x42fe44dc, (q31_t)0xc011edc3, + (q31_t)0x42f1b755, (q31_t)0xc011588a, (q31_t)0x42e529b0, (q31_t)0xc010c5c7, + (q31_t)0x42d89bf0, (q31_t)0xc010357c, (q31_t)0x42cc0e13, (q31_t)0xc00fa7a8, + (q31_t)0x42bf801a, (q31_t)0xc00f1c4a, (q31_t)0x42b2f207, (q31_t)0xc00e9364, + (q31_t)0x42a663d8, (q31_t)0xc00e0cf5, (q31_t)0x4299d590, (q31_t)0xc00d88fd, + (q31_t)0x428d472e, (q31_t)0xc00d077c, (q31_t)0x4280b8b3, (q31_t)0xc00c8872, + (q31_t)0x42742a1f, (q31_t)0xc00c0be0, (q31_t)0x42679b73, (q31_t)0xc00b91c4, + (q31_t)0x425b0caf, (q31_t)0xc00b1a20, (q31_t)0x424e7dd4, (q31_t)0xc00aa4f3, + (q31_t)0x4241eee2, (q31_t)0xc00a323d, (q31_t)0x42355fd9, (q31_t)0xc009c1ff, + (q31_t)0x4228d0bb, (q31_t)0xc0095438, (q31_t)0x421c4188, (q31_t)0xc008e8e8, + (q31_t)0x420fb240, (q31_t)0xc008800f, (q31_t)0x420322e3, (q31_t)0xc00819ae, + (q31_t)0x41f69373, (q31_t)0xc007b5c4, (q31_t)0x41ea03ef, (q31_t)0xc0075452, + (q31_t)0x41dd7459, (q31_t)0xc006f556, (q31_t)0x41d0e4b0, (q31_t)0xc00698d3, + (q31_t)0x41c454f5, (q31_t)0xc0063ec6, (q31_t)0x41b7c528, (q31_t)0xc005e731, + (q31_t)0x41ab354b, (q31_t)0xc0059214, (q31_t)0x419ea55d, (q31_t)0xc0053f6e, + (q31_t)0x4192155f, (q31_t)0xc004ef3f, (q31_t)0x41858552, (q31_t)0xc004a188, + (q31_t)0x4178f536, (q31_t)0xc0045648, (q31_t)0x416c650b, (q31_t)0xc0040d80, + (q31_t)0x415fd4d2, (q31_t)0xc003c72f, (q31_t)0x4153448c, (q31_t)0xc0038356, + (q31_t)0x4146b438, (q31_t)0xc00341f4, (q31_t)0x413a23d8, (q31_t)0xc003030a, + (q31_t)0x412d936c, (q31_t)0xc002c697, (q31_t)0x412102f4, (q31_t)0xc0028c9c, + (q31_t)0x41147271, (q31_t)0xc0025519, (q31_t)0x4107e1e3, (q31_t)0xc002200d, + (q31_t)0x40fb514b, (q31_t)0xc001ed78, (q31_t)0x40eec0aa, (q31_t)0xc001bd5c, + (q31_t)0x40e22fff, (q31_t)0xc0018fb6, (q31_t)0x40d59f4c, (q31_t)0xc0016489, + (q31_t)0x40c90e90, (q31_t)0xc0013bd3, (q31_t)0x40bc7dcc, (q31_t)0xc0011594, + (q31_t)0x40afed02, (q31_t)0xc000f1ce, (q31_t)0x40a35c30, (q31_t)0xc000d07e, + (q31_t)0x4096cb58, (q31_t)0xc000b1a7, (q31_t)0x408a3a7b, (q31_t)0xc0009547, + (q31_t)0x407da998, (q31_t)0xc0007b5f, (q31_t)0x407118b0, (q31_t)0xc00063ee, + (q31_t)0x406487c4, (q31_t)0xc0004ef5, (q31_t)0x4057f6d4, (q31_t)0xc0003c74, + (q31_t)0x404b65e1, (q31_t)0xc0002c6a, (q31_t)0x403ed4ea, (q31_t)0xc0001ed8, + (q31_t)0x403243f1, (q31_t)0xc00013bd, (q31_t)0x4025b2f7, (q31_t)0xc0000b1a, + (q31_t)0x401921fb, (q31_t)0xc00004ef, (q31_t)0x400c90fe, (q31_t)0xc000013c, +}; + +/** +* @} end of RealFFT_Table group +*/ + +/** +* @addtogroup RealFFT +* @{ +*/ + +/** +* @brief Initialization function for the Q31 RFFT/RIFFT. +* @param[in, out] *S points to an instance of the Q31 RFFT/RIFFT structure. +* @param[in] fftLenReal length of the FFT. +* @param[in] ifftFlagR flag that selects forward (ifftFlagR=0) or inverse (ifftFlagR=1) transform. +* @param[in] bitReverseFlag flag that enables (bitReverseFlag=1) or disables (bitReverseFlag=0) bit reversal of output. +* @return The function returns ARM_MATH_SUCCESS if initialization is successful or ARM_MATH_ARGUMENT_ERROR if fftLenReal is not a supported value. +* +* \par Description: +* \par +* The parameter fftLenReal Specifies length of RFFT/RIFFT Process. Supported FFT Lengths are 32, 64, 128, 256, 512, 1024, 2048, 4096, 8192. +* \par +* The parameter ifftFlagR controls whether a forward or inverse transform is computed. +* Set(=1) ifftFlagR to calculate RIFFT, otherwise RFFT is calculated. +* \par +* The parameter bitReverseFlag controls whether output is in normal order or bit reversed order. +* Set(=1) bitReverseFlag for output to be in normal order otherwise output is in bit reversed order. +* \par 7 +* This function also initializes Twiddle factor table. +*/ + +arm_status arm_rfft_init_q31( + arm_rfft_instance_q31 * S, + uint32_t fftLenReal, + uint32_t ifftFlagR, + uint32_t bitReverseFlag) +{ + /* Initialise the default arm status */ + arm_status status = ARM_MATH_SUCCESS; + + /* Initialize the Real FFT length */ + S->fftLenReal = (uint16_t) fftLenReal; + + /* Initialize the Twiddle coefficientA pointer */ + S->pTwiddleAReal = (q31_t *) realCoefAQ31; + + /* Initialize the Twiddle coefficientB pointer */ + S->pTwiddleBReal = (q31_t *) realCoefBQ31; + + /* Initialize the Flag for selection of RFFT or RIFFT */ + S->ifftFlagR = (uint8_t) ifftFlagR; + + /* Initialize the Flag for calculation Bit reversal or not */ + S->bitReverseFlagR = (uint8_t) bitReverseFlag; + + /* Initialization of coef modifier depending on the FFT length */ + switch (S->fftLenReal) + { + case 8192U: + S->twidCoefRModifier = 1U; + S->pCfft = &arm_cfft_sR_q31_len4096; + break; + case 4096U: + S->twidCoefRModifier = 2U; + S->pCfft = &arm_cfft_sR_q31_len2048; + break; + case 2048U: + S->twidCoefRModifier = 4U; + S->pCfft = &arm_cfft_sR_q31_len1024; + break; + case 1024U: + S->twidCoefRModifier = 8U; + S->pCfft = &arm_cfft_sR_q31_len512; + break; + case 512U: + S->twidCoefRModifier = 16U; + S->pCfft = &arm_cfft_sR_q31_len256; + break; + case 256U: + S->twidCoefRModifier = 32U; + S->pCfft = &arm_cfft_sR_q31_len128; + break; + case 128U: + S->twidCoefRModifier = 64U; + S->pCfft = &arm_cfft_sR_q31_len64; + break; + case 64U: + S->twidCoefRModifier = 128U; + S->pCfft = &arm_cfft_sR_q31_len32; + break; + case 32U: + S->twidCoefRModifier = 256U; + S->pCfft = &arm_cfft_sR_q31_len16; + break; + default: + /* Reporting argument error if rfftSize is not valid value */ + status = ARM_MATH_ARGUMENT_ERROR; + break; + } + + /* return the status of RFFT Init function */ + return (status); +} + +/** +* @} end of RealFFT group +*/ diff --git a/fw/hid-dials/Drivers/CMSIS/DSP/Source/TransformFunctions/arm_rfft_q15.c b/fw/hid-dials/Drivers/CMSIS/DSP/Source/TransformFunctions/arm_rfft_q15.c new file mode 100644 index 0000000..8a888f4 --- /dev/null +++ b/fw/hid-dials/Drivers/CMSIS/DSP/Source/TransformFunctions/arm_rfft_q15.c @@ -0,0 +1,426 @@ +/* ---------------------------------------------------------------------- + * Project: CMSIS DSP Library + * Title: arm_rfft_q15.c + * Description: RFFT & RIFFT Q15 process function + * + * $Date: 27. January 2017 + * $Revision: V.1.5.1 + * + * Target Processor: Cortex-M cores + * -------------------------------------------------------------------- */ +/* + * Copyright (C) 2010-2017 ARM Limited or its affiliates. All rights reserved. + * + * SPDX-License-Identifier: Apache-2.0 + * + * Licensed under the Apache License, Version 2.0 (the License); you may + * not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an AS IS BASIS, WITHOUT + * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ + +#include "arm_math.h" + +/* ---------------------------------------------------------------------- + * Internal functions prototypes + * -------------------------------------------------------------------- */ + +void arm_split_rfft_q15( + q15_t * pSrc, + uint32_t fftLen, + q15_t * pATable, + q15_t * pBTable, + q15_t * pDst, + uint32_t modifier); + +void arm_split_rifft_q15( + q15_t * pSrc, + uint32_t fftLen, + q15_t * pATable, + q15_t * pBTable, + q15_t * pDst, + uint32_t modifier); + +/** +* @addtogroup RealFFT +* @{ +*/ + +/** +* @brief Processing function for the Q15 RFFT/RIFFT. +* @param[in] *S points to an instance of the Q15 RFFT/RIFFT structure. +* @param[in] *pSrc points to the input buffer. +* @param[out] *pDst points to the output buffer. +* @return none. +* +* \par Input an output formats: +* \par +* Internally input is downscaled by 2 for every stage to avoid saturations inside CFFT/CIFFT process. +* Hence the output format is different for different RFFT sizes. +* The input and output formats for different RFFT sizes and number of bits to upscale are mentioned in the tables below for RFFT and RIFFT: +* \par +* \image html RFFTQ15.gif "Input and Output Formats for Q15 RFFT" +* \par +* \image html RIFFTQ15.gif "Input and Output Formats for Q15 RIFFT" +*/ + +void arm_rfft_q15( + const arm_rfft_instance_q15 * S, + q15_t * pSrc, + q15_t * pDst) +{ + const arm_cfft_instance_q15 *S_CFFT = S->pCfft; + uint32_t i; + uint32_t L2 = S->fftLenReal >> 1; + + /* Calculation of RIFFT of input */ + if (S->ifftFlagR == 1U) + { + /* Real IFFT core process */ + arm_split_rifft_q15(pSrc, L2, S->pTwiddleAReal, + S->pTwiddleBReal, pDst, S->twidCoefRModifier); + + /* Complex IFFT process */ + arm_cfft_q15(S_CFFT, pDst, S->ifftFlagR, S->bitReverseFlagR); + + for(i=0;ifftLenReal;i++) + { + pDst[i] = pDst[i] << 1; + } + } + else + { + /* Calculation of RFFT of input */ + + /* Complex FFT process */ + arm_cfft_q15(S_CFFT, pSrc, S->ifftFlagR, S->bitReverseFlagR); + + /* Real FFT core process */ + arm_split_rfft_q15(pSrc, L2, S->pTwiddleAReal, + S->pTwiddleBReal, pDst, S->twidCoefRModifier); + } +} + +/** +* @} end of RealFFT group +*/ + +/** +* @brief Core Real FFT process +* @param *pSrc points to the input buffer. +* @param fftLen length of FFT. +* @param *pATable points to the A twiddle Coef buffer. +* @param *pBTable points to the B twiddle Coef buffer. +* @param *pDst points to the output buffer. +* @param modifier twiddle coefficient modifier that supports different size FFTs with the same twiddle factor table. +* @return none. +* The function implements a Real FFT +*/ + +void arm_split_rfft_q15( + q15_t * pSrc, + uint32_t fftLen, + q15_t * pATable, + q15_t * pBTable, + q15_t * pDst, + uint32_t modifier) +{ + uint32_t i; /* Loop Counter */ + q31_t outR, outI; /* Temporary variables for output */ + q15_t *pCoefA, *pCoefB; /* Temporary pointers for twiddle factors */ + q15_t *pSrc1, *pSrc2; +#if defined (ARM_MATH_DSP) + q15_t *pD1, *pD2; +#endif + + // pSrc[2U * fftLen] = pSrc[0]; + // pSrc[(2U * fftLen) + 1U] = pSrc[1]; + + pCoefA = &pATable[modifier * 2U]; + pCoefB = &pBTable[modifier * 2U]; + + pSrc1 = &pSrc[2]; + pSrc2 = &pSrc[(2U * fftLen) - 2U]; + +#if defined (ARM_MATH_DSP) + + /* Run the below code for Cortex-M4 and Cortex-M3 */ + i = 1U; + pD1 = pDst + 2; + pD2 = pDst + (4U * fftLen) - 2; + + for(i = fftLen - 1; i > 0; i--) + { + /* + outR = (pSrc[2 * i] * pATable[2 * i] - pSrc[2 * i + 1] * pATable[2 * i + 1] + + pSrc[2 * n - 2 * i] * pBTable[2 * i] + + pSrc[2 * n - 2 * i + 1] * pBTable[2 * i + 1]); + */ + + /* outI = (pIn[2 * i + 1] * pATable[2 * i] + pIn[2 * i] * pATable[2 * i + 1] + + pIn[2 * n - 2 * i] * pBTable[2 * i + 1] - + pIn[2 * n - 2 * i + 1] * pBTable[2 * i]); */ + + +#ifndef ARM_MATH_BIG_ENDIAN + + /* pSrc[2 * i] * pATable[2 * i] - pSrc[2 * i + 1] * pATable[2 * i + 1] */ + outR = __SMUSD(*__SIMD32(pSrc1), *__SIMD32(pCoefA)); + +#else + + /* -(pSrc[2 * i + 1] * pATable[2 * i + 1] - pSrc[2 * i] * pATable[2 * i]) */ + outR = -(__SMUSD(*__SIMD32(pSrc1), *__SIMD32(pCoefA))); + +#endif /* #ifndef ARM_MATH_BIG_ENDIAN */ + + /* pSrc[2 * n - 2 * i] * pBTable[2 * i] + + pSrc[2 * n - 2 * i + 1] * pBTable[2 * i + 1]) */ + outR = __SMLAD(*__SIMD32(pSrc2), *__SIMD32(pCoefB), outR) >> 16U; + + /* pIn[2 * n - 2 * i] * pBTable[2 * i + 1] - + pIn[2 * n - 2 * i + 1] * pBTable[2 * i] */ + +#ifndef ARM_MATH_BIG_ENDIAN + + outI = __SMUSDX(*__SIMD32(pSrc2)--, *__SIMD32(pCoefB)); + +#else + + outI = __SMUSDX(*__SIMD32(pCoefB), *__SIMD32(pSrc2)--); + +#endif /* #ifndef ARM_MATH_BIG_ENDIAN */ + + /* (pIn[2 * i + 1] * pATable[2 * i] + pIn[2 * i] * pATable[2 * i + 1] */ + outI = __SMLADX(*__SIMD32(pSrc1)++, *__SIMD32(pCoefA), outI); + + /* write output */ + *pD1++ = (q15_t) outR; + *pD1++ = outI >> 16U; + + /* write complex conjugate output */ + pD2[0] = (q15_t) outR; + pD2[1] = -(outI >> 16U); + pD2 -= 2; + + /* update coefficient pointer */ + pCoefB = pCoefB + (2U * modifier); + pCoefA = pCoefA + (2U * modifier); + } + + pDst[2U * fftLen] = (pSrc[0] - pSrc[1]) >> 1; + pDst[(2U * fftLen) + 1U] = 0; + + pDst[0] = (pSrc[0] + pSrc[1]) >> 1; + pDst[1] = 0; + +#else + + /* Run the below code for Cortex-M0 */ + i = 1U; + + while (i < fftLen) + { + /* + outR = (pSrc[2 * i] * pATable[2 * i] - pSrc[2 * i + 1] * pATable[2 * i + 1] + + pSrc[2 * n - 2 * i] * pBTable[2 * i] + + pSrc[2 * n - 2 * i + 1] * pBTable[2 * i + 1]); + */ + + outR = *pSrc1 * *pCoefA; + outR = outR - (*(pSrc1 + 1) * *(pCoefA + 1)); + outR = outR + (*pSrc2 * *pCoefB); + outR = (outR + (*(pSrc2 + 1) * *(pCoefB + 1))) >> 16; + + + /* outI = (pIn[2 * i + 1] * pATable[2 * i] + pIn[2 * i] * pATable[2 * i + 1] + + pIn[2 * n - 2 * i] * pBTable[2 * i + 1] - + pIn[2 * n - 2 * i + 1] * pBTable[2 * i]); + */ + + outI = *pSrc2 * *(pCoefB + 1); + outI = outI - (*(pSrc2 + 1) * *pCoefB); + outI = outI + (*(pSrc1 + 1) * *pCoefA); + outI = outI + (*pSrc1 * *(pCoefA + 1)); + + /* update input pointers */ + pSrc1 += 2U; + pSrc2 -= 2U; + + /* write output */ + pDst[2U * i] = (q15_t) outR; + pDst[(2U * i) + 1U] = outI >> 16U; + + /* write complex conjugate output */ + pDst[(4U * fftLen) - (2U * i)] = (q15_t) outR; + pDst[((4U * fftLen) - (2U * i)) + 1U] = -(outI >> 16U); + + /* update coefficient pointer */ + pCoefB = pCoefB + (2U * modifier); + pCoefA = pCoefA + (2U * modifier); + + i++; + } + + pDst[2U * fftLen] = (pSrc[0] - pSrc[1]) >> 1; + pDst[(2U * fftLen) + 1U] = 0; + + pDst[0] = (pSrc[0] + pSrc[1]) >> 1; + pDst[1] = 0; + +#endif /* #if defined (ARM_MATH_DSP) */ +} + + +/** +* @brief Core Real IFFT process +* @param[in] *pSrc points to the input buffer. +* @param[in] fftLen length of FFT. +* @param[in] *pATable points to the twiddle Coef A buffer. +* @param[in] *pBTable points to the twiddle Coef B buffer. +* @param[out] *pDst points to the output buffer. +* @param[in] modifier twiddle coefficient modifier that supports different size FFTs with the same twiddle factor table. +* @return none. +* The function implements a Real IFFT +*/ +void arm_split_rifft_q15( + q15_t * pSrc, + uint32_t fftLen, + q15_t * pATable, + q15_t * pBTable, + q15_t * pDst, + uint32_t modifier) +{ + uint32_t i; /* Loop Counter */ + q31_t outR, outI; /* Temporary variables for output */ + q15_t *pCoefA, *pCoefB; /* Temporary pointers for twiddle factors */ + q15_t *pSrc1, *pSrc2; + q15_t *pDst1 = &pDst[0]; + + pCoefA = &pATable[0]; + pCoefB = &pBTable[0]; + + pSrc1 = &pSrc[0]; + pSrc2 = &pSrc[2U * fftLen]; + +#if defined (ARM_MATH_DSP) + + /* Run the below code for Cortex-M4 and Cortex-M3 */ + i = fftLen; + + while (i > 0U) + { + /* + outR = (pIn[2 * i] * pATable[2 * i] + pIn[2 * i + 1] * pATable[2 * i + 1] + + pIn[2 * n - 2 * i] * pBTable[2 * i] - + pIn[2 * n - 2 * i + 1] * pBTable[2 * i + 1]); + + outI = (pIn[2 * i + 1] * pATable[2 * i] - pIn[2 * i] * pATable[2 * i + 1] - + pIn[2 * n - 2 * i] * pBTable[2 * i + 1] - + pIn[2 * n - 2 * i + 1] * pBTable[2 * i]); + */ + + +#ifndef ARM_MATH_BIG_ENDIAN + + /* pIn[2 * n - 2 * i] * pBTable[2 * i] - + pIn[2 * n - 2 * i + 1] * pBTable[2 * i + 1]) */ + outR = __SMUSD(*__SIMD32(pSrc2), *__SIMD32(pCoefB)); + +#else + + /* -(-pIn[2 * n - 2 * i] * pBTable[2 * i] + + pIn[2 * n - 2 * i + 1] * pBTable[2 * i + 1])) */ + outR = -(__SMUSD(*__SIMD32(pSrc2), *__SIMD32(pCoefB))); + +#endif /* #ifndef ARM_MATH_BIG_ENDIAN */ + + /* pIn[2 * i] * pATable[2 * i] + pIn[2 * i + 1] * pATable[2 * i + 1] + + pIn[2 * n - 2 * i] * pBTable[2 * i] */ + outR = __SMLAD(*__SIMD32(pSrc1), *__SIMD32(pCoefA), outR) >> 16U; + + /* + -pIn[2 * n - 2 * i] * pBTable[2 * i + 1] + + pIn[2 * n - 2 * i + 1] * pBTable[2 * i] */ + outI = __SMUADX(*__SIMD32(pSrc2)--, *__SIMD32(pCoefB)); + + /* pIn[2 * i + 1] * pATable[2 * i] - pIn[2 * i] * pATable[2 * i + 1] */ + +#ifndef ARM_MATH_BIG_ENDIAN + + outI = __SMLSDX(*__SIMD32(pCoefA), *__SIMD32(pSrc1)++, -outI); + +#else + + outI = __SMLSDX(*__SIMD32(pSrc1)++, *__SIMD32(pCoefA), -outI); + +#endif /* #ifndef ARM_MATH_BIG_ENDIAN */ + /* write output */ + +#ifndef ARM_MATH_BIG_ENDIAN + + *__SIMD32(pDst1)++ = __PKHBT(outR, (outI >> 16U), 16); + +#else + + *__SIMD32(pDst1)++ = __PKHBT((outI >> 16U), outR, 16); + +#endif /* #ifndef ARM_MATH_BIG_ENDIAN */ + + /* update coefficient pointer */ + pCoefB = pCoefB + (2U * modifier); + pCoefA = pCoefA + (2U * modifier); + + i--; + } +#else + /* Run the below code for Cortex-M0 */ + i = fftLen; + + while (i > 0U) + { + /* + outR = (pIn[2 * i] * pATable[2 * i] + pIn[2 * i + 1] * pATable[2 * i + 1] + + pIn[2 * n - 2 * i] * pBTable[2 * i] - + pIn[2 * n - 2 * i + 1] * pBTable[2 * i + 1]); + */ + + outR = *pSrc2 * *pCoefB; + outR = outR - (*(pSrc2 + 1) * *(pCoefB + 1)); + outR = outR + (*pSrc1 * *pCoefA); + outR = (outR + (*(pSrc1 + 1) * *(pCoefA + 1))) >> 16; + + /* + outI = (pIn[2 * i + 1] * pATable[2 * i] - pIn[2 * i] * pATable[2 * i + 1] - + pIn[2 * n - 2 * i] * pBTable[2 * i + 1] - + pIn[2 * n - 2 * i + 1] * pBTable[2 * i]); + */ + + outI = *(pSrc1 + 1) * *pCoefA; + outI = outI - (*pSrc1 * *(pCoefA + 1)); + outI = outI - (*pSrc2 * *(pCoefB + 1)); + outI = outI - (*(pSrc2 + 1) * *(pCoefB)); + + /* update input pointers */ + pSrc1 += 2U; + pSrc2 -= 2U; + + /* write output */ + *pDst1++ = (q15_t) outR; + *pDst1++ = (q15_t) (outI >> 16); + + /* update coefficient pointer */ + pCoefB = pCoefB + (2U * modifier); + pCoefA = pCoefA + (2U * modifier); + + i--; + } +#endif /* #if defined (ARM_MATH_DSP) */ +} diff --git a/fw/hid-dials/Drivers/CMSIS/DSP/Source/TransformFunctions/arm_rfft_q31.c b/fw/hid-dials/Drivers/CMSIS/DSP/Source/TransformFunctions/arm_rfft_q31.c new file mode 100644 index 0000000..d21b964 --- /dev/null +++ b/fw/hid-dials/Drivers/CMSIS/DSP/Source/TransformFunctions/arm_rfft_q31.c @@ -0,0 +1,283 @@ +/* ---------------------------------------------------------------------- + * Project: CMSIS DSP Library + * Title: arm_rfft_q31.c + * Description: FFT & RIFFT Q31 process function + * + * $Date: 27. January 2017 + * $Revision: V.1.5.1 + * + * Target Processor: Cortex-M cores + * -------------------------------------------------------------------- */ +/* + * Copyright (C) 2010-2017 ARM Limited or its affiliates. All rights reserved. + * + * SPDX-License-Identifier: Apache-2.0 + * + * Licensed under the Apache License, Version 2.0 (the License); you may + * not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an AS IS BASIS, WITHOUT + * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ + +#include "arm_math.h" + +/* ---------------------------------------------------------------------- + * Internal functions prototypes + * -------------------------------------------------------------------- */ + +void arm_split_rfft_q31( + q31_t * pSrc, + uint32_t fftLen, + q31_t * pATable, + q31_t * pBTable, + q31_t * pDst, + uint32_t modifier); + +void arm_split_rifft_q31( + q31_t * pSrc, + uint32_t fftLen, + q31_t * pATable, + q31_t * pBTable, + q31_t * pDst, + uint32_t modifier); + +/** +* @addtogroup RealFFT +* @{ +*/ + +/** +* @brief Processing function for the Q31 RFFT/RIFFT. +* @param[in] *S points to an instance of the Q31 RFFT/RIFFT structure. +* @param[in] *pSrc points to the input buffer. +* @param[out] *pDst points to the output buffer. +* @return none. +* +* \par Input an output formats: +* \par +* Internally input is downscaled by 2 for every stage to avoid saturations inside CFFT/CIFFT process. +* Hence the output format is different for different RFFT sizes. +* The input and output formats for different RFFT sizes and number of bits to upscale are mentioned in the tables below for RFFT and RIFFT: +* \par +* \image html RFFTQ31.gif "Input and Output Formats for Q31 RFFT" +* +* \par +* \image html RIFFTQ31.gif "Input and Output Formats for Q31 RIFFT" +*/ +void arm_rfft_q31( + const arm_rfft_instance_q31 * S, + q31_t * pSrc, + q31_t * pDst) +{ + const arm_cfft_instance_q31 *S_CFFT = S->pCfft; + uint32_t i; + uint32_t L2 = S->fftLenReal >> 1; + + /* Calculation of RIFFT of input */ + if (S->ifftFlagR == 1U) + { + /* Real IFFT core process */ + arm_split_rifft_q31(pSrc, L2, S->pTwiddleAReal, + S->pTwiddleBReal, pDst, S->twidCoefRModifier); + + /* Complex IFFT process */ + arm_cfft_q31(S_CFFT, pDst, S->ifftFlagR, S->bitReverseFlagR); + + for(i=0;ifftLenReal;i++) + { + pDst[i] = pDst[i] << 1; + } + } + else + { + /* Calculation of RFFT of input */ + + /* Complex FFT process */ + arm_cfft_q31(S_CFFT, pSrc, S->ifftFlagR, S->bitReverseFlagR); + + /* Real FFT core process */ + arm_split_rfft_q31(pSrc, L2, S->pTwiddleAReal, + S->pTwiddleBReal, pDst, S->twidCoefRModifier); + } +} + +/** +* @} end of RealFFT group +*/ + +/** +* @brief Core Real FFT process +* @param[in] *pSrc points to the input buffer. +* @param[in] fftLen length of FFT. +* @param[in] *pATable points to the twiddle Coef A buffer. +* @param[in] *pBTable points to the twiddle Coef B buffer. +* @param[out] *pDst points to the output buffer. +* @param[in] modifier twiddle coefficient modifier that supports different size FFTs with the same twiddle factor table. +* @return none. +*/ +void arm_split_rfft_q31( + q31_t * pSrc, + uint32_t fftLen, + q31_t * pATable, + q31_t * pBTable, + q31_t * pDst, + uint32_t modifier) +{ + uint32_t i; /* Loop Counter */ + q31_t outR, outI; /* Temporary variables for output */ + q31_t *pCoefA, *pCoefB; /* Temporary pointers for twiddle factors */ + q31_t CoefA1, CoefA2, CoefB1; /* Temporary variables for twiddle coefficients */ + q31_t *pOut1 = &pDst[2], *pOut2 = &pDst[(4U * fftLen) - 1U]; + q31_t *pIn1 = &pSrc[2], *pIn2 = &pSrc[(2U * fftLen) - 1U]; + + /* Init coefficient pointers */ + pCoefA = &pATable[modifier * 2U]; + pCoefB = &pBTable[modifier * 2U]; + + i = fftLen - 1U; + + while (i > 0U) + { + /* + outR = (pSrc[2 * i] * pATable[2 * i] - pSrc[2 * i + 1] * pATable[2 * i + 1] + + pSrc[2 * n - 2 * i] * pBTable[2 * i] + + pSrc[2 * n - 2 * i + 1] * pBTable[2 * i + 1]); + */ + + /* outI = (pIn[2 * i + 1] * pATable[2 * i] + pIn[2 * i] * pATable[2 * i + 1] + + pIn[2 * n - 2 * i] * pBTable[2 * i + 1] - + pIn[2 * n - 2 * i + 1] * pBTable[2 * i]); */ + + CoefA1 = *pCoefA++; + CoefA2 = *pCoefA; + + /* outR = (pSrc[2 * i] * pATable[2 * i] */ + mult_32x32_keep32_R(outR, *pIn1, CoefA1); + + /* outI = pIn[2 * i] * pATable[2 * i + 1] */ + mult_32x32_keep32_R(outI, *pIn1++, CoefA2); + + /* - pSrc[2 * i + 1] * pATable[2 * i + 1] */ + multSub_32x32_keep32_R(outR, *pIn1, CoefA2); + + /* (pIn[2 * i + 1] * pATable[2 * i] */ + multAcc_32x32_keep32_R(outI, *pIn1++, CoefA1); + + /* pSrc[2 * n - 2 * i] * pBTable[2 * i] */ + multSub_32x32_keep32_R(outR, *pIn2, CoefA2); + CoefB1 = *pCoefB; + + /* pIn[2 * n - 2 * i] * pBTable[2 * i + 1] */ + multSub_32x32_keep32_R(outI, *pIn2--, CoefB1); + + /* pSrc[2 * n - 2 * i + 1] * pBTable[2 * i + 1] */ + multAcc_32x32_keep32_R(outR, *pIn2, CoefB1); + + /* pIn[2 * n - 2 * i + 1] * pBTable[2 * i] */ + multSub_32x32_keep32_R(outI, *pIn2--, CoefA2); + + /* write output */ + *pOut1++ = outR; + *pOut1++ = outI; + + /* write complex conjugate output */ + *pOut2-- = -outI; + *pOut2-- = outR; + + /* update coefficient pointer */ + pCoefB = pCoefB + (modifier * 2U); + pCoefA = pCoefA + ((modifier * 2U) - 1U); + + i--; + } + pDst[2U * fftLen] = (pSrc[0] - pSrc[1]) >> 1; + pDst[(2U * fftLen) + 1U] = 0; + + pDst[0] = (pSrc[0] + pSrc[1]) >> 1; + pDst[1] = 0; +} + +/** +* @brief Core Real IFFT process +* @param[in] *pSrc points to the input buffer. +* @param[in] fftLen length of FFT. +* @param[in] *pATable points to the twiddle Coef A buffer. +* @param[in] *pBTable points to the twiddle Coef B buffer. +* @param[out] *pDst points to the output buffer. +* @param[in] modifier twiddle coefficient modifier that supports different size FFTs with the same twiddle factor table. +* @return none. +*/ +void arm_split_rifft_q31( + q31_t * pSrc, + uint32_t fftLen, + q31_t * pATable, + q31_t * pBTable, + q31_t * pDst, + uint32_t modifier) +{ + q31_t outR, outI; /* Temporary variables for output */ + q31_t *pCoefA, *pCoefB; /* Temporary pointers for twiddle factors */ + q31_t CoefA1, CoefA2, CoefB1; /* Temporary variables for twiddle coefficients */ + q31_t *pIn1 = &pSrc[0], *pIn2 = &pSrc[(2U * fftLen) + 1U]; + + pCoefA = &pATable[0]; + pCoefB = &pBTable[0]; + + while (fftLen > 0U) + { + /* + outR = (pIn[2 * i] * pATable[2 * i] + pIn[2 * i + 1] * pATable[2 * i + 1] + + pIn[2 * n - 2 * i] * pBTable[2 * i] - + pIn[2 * n - 2 * i + 1] * pBTable[2 * i + 1]); + + outI = (pIn[2 * i + 1] * pATable[2 * i] - pIn[2 * i] * pATable[2 * i + 1] - + pIn[2 * n - 2 * i] * pBTable[2 * i + 1] - + pIn[2 * n - 2 * i + 1] * pBTable[2 * i]); + */ + CoefA1 = *pCoefA++; + CoefA2 = *pCoefA; + + /* outR = (pIn[2 * i] * pATable[2 * i] */ + mult_32x32_keep32_R(outR, *pIn1, CoefA1); + + /* - pIn[2 * i] * pATable[2 * i + 1] */ + mult_32x32_keep32_R(outI, *pIn1++, -CoefA2); + + /* pIn[2 * i + 1] * pATable[2 * i + 1] */ + multAcc_32x32_keep32_R(outR, *pIn1, CoefA2); + + /* pIn[2 * i + 1] * pATable[2 * i] */ + multAcc_32x32_keep32_R(outI, *pIn1++, CoefA1); + + /* pIn[2 * n - 2 * i] * pBTable[2 * i] */ + multAcc_32x32_keep32_R(outR, *pIn2, CoefA2); + CoefB1 = *pCoefB; + + /* pIn[2 * n - 2 * i] * pBTable[2 * i + 1] */ + multSub_32x32_keep32_R(outI, *pIn2--, CoefB1); + + /* pIn[2 * n - 2 * i + 1] * pBTable[2 * i + 1] */ + multAcc_32x32_keep32_R(outR, *pIn2, CoefB1); + + /* pIn[2 * n - 2 * i + 1] * pBTable[2 * i] */ + multAcc_32x32_keep32_R(outI, *pIn2--, CoefA2); + + /* write output */ + *pDst++ = outR; + *pDst++ = outI; + + /* update coefficient pointer */ + pCoefB = pCoefB + (modifier * 2U); + pCoefA = pCoefA + ((modifier * 2U) - 1U); + + /* Decrement loop count */ + fftLen--; + } +} -- cgit