From 94f94260ace13688285fc8c62687079b26c18854 Mon Sep 17 00:00:00 2001 From: jaseg Date: Sun, 20 Dec 2020 15:18:02 +0100 Subject: Submodule-cache WIP --- .../DSP/Source/StatisticsFunctions/arm_std_f32.c | 186 --------------------- 1 file changed, 186 deletions(-) delete mode 100644 fw/midi-dials/Drivers/CMSIS/DSP/Source/StatisticsFunctions/arm_std_f32.c (limited to 'fw/midi-dials/Drivers/CMSIS/DSP/Source/StatisticsFunctions/arm_std_f32.c') diff --git a/fw/midi-dials/Drivers/CMSIS/DSP/Source/StatisticsFunctions/arm_std_f32.c b/fw/midi-dials/Drivers/CMSIS/DSP/Source/StatisticsFunctions/arm_std_f32.c deleted file mode 100644 index e082fc6..0000000 --- a/fw/midi-dials/Drivers/CMSIS/DSP/Source/StatisticsFunctions/arm_std_f32.c +++ /dev/null @@ -1,186 +0,0 @@ -/* ---------------------------------------------------------------------- - * 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 - */ -- cgit