diff options
Diffstat (limited to 'fw/hid-dials/Drivers/CMSIS/DSP/Source/StatisticsFunctions/arm_var_q15.c')
| -rw-r--r-- | fw/hid-dials/Drivers/CMSIS/DSP/Source/StatisticsFunctions/arm_var_q15.c | 172 |
1 files changed, 0 insertions, 172 deletions
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 deleted file mode 100644 index ff9972a..0000000 --- a/fw/hid-dials/Drivers/CMSIS/DSP/Source/StatisticsFunctions/arm_var_q15.c +++ /dev/null @@ -1,172 +0,0 @@ -/* ----------------------------------------------------------------------
- * 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
- * <b>Scaling and Overflow Behavior:</b>
- *
- * \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
- */
|