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author | rihab kouki <rihab.kouki@st.com> | 2020-07-28 11:24:49 +0100 |
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committer | rihab kouki <rihab.kouki@st.com> | 2020-07-28 11:24:49 +0100 |
commit | 96d6da4e252b06dcfdc041e7df23e86161c33007 (patch) | |
tree | a262f59bb1db7ec7819acae435f5049cbe5e2354 /DSP/Source/StatisticsFunctions/arm_std_f32.c | |
parent | 9f95ff5b6ba01db09552b84a0ab79607060a2666 (diff) | |
download | st-cmsis-core-lowfat-master.tar.gz st-cmsis-core-lowfat-master.tar.bz2 st-cmsis-core-lowfat-master.zip |
Diffstat (limited to 'DSP/Source/StatisticsFunctions/arm_std_f32.c')
-rw-r--r-- | DSP/Source/StatisticsFunctions/arm_std_f32.c | 176 |
1 files changed, 89 insertions, 87 deletions
diff --git a/DSP/Source/StatisticsFunctions/arm_std_f32.c b/DSP/Source/StatisticsFunctions/arm_std_f32.c index 9750b88..e1e6577 100644 --- a/DSP/Source/StatisticsFunctions/arm_std_f32.c +++ b/DSP/Source/StatisticsFunctions/arm_std_f32.c @@ -3,13 +3,13 @@ * 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 + * $Date: 18. March 2019 + * $Revision: V1.6.0 * * Target Processor: Cortex-M cores * -------------------------------------------------------------------- */ /* - * Copyright (C) 2010-2017 ARM Limited or its affiliates. All rights reserved. + * Copyright (C) 2010-2019 ARM Limited or its affiliates. All rights reserved. * * SPDX-License-Identifier: Apache-2.0 * @@ -29,111 +29,131 @@ #include "arm_math.h" /** - * @ingroup groupStats + @ingroup groupStats */ /** - * @defgroup STD Standard deviation - * - * Calculates the standard deviation of the elements in the input vector. - * The underlying algorithm is used: - * - * <pre> - * Result = sqrt((sumOfSquares - sum<sup>2</sup> / 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] - * </pre> - * - * There are separate functions for floating point, Q31, and Q15 data types. + @defgroup STD Standard deviation + + Calculates the standard deviation of the elements in the input vector. + The underlying algorithm is used: + + <pre> + Result = sqrt((sumOfSquares - sum<sup>2</sup> / blockSize) / (blockSize - 1)) + + 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] + </pre> + + There are separate functions for floating point, Q31, and Q15 data types. */ /** - * @addtogroup STD - * @{ + @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. + @brief Standard deviation of the elements of a floating-point vector. + @param[in] pSrc points to the input vector + @param[in] blockSize number of samples in input vector + @param[out] pResult standard deviation value returned here + @return none */ - +#if defined(ARM_MATH_NEON_EXPERIMENTAL) void arm_std_f32( - float32_t * pSrc, - uint32_t blockSize, - float32_t * pResult) + const 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 */ + float32_t var; + arm_var_f32(pSrc,blockSize,&var); + arm_sqrt_f32(var, pResult); +} #else - float32_t squareOfSum; /* Square of Sum */ - float32_t var; /* Temporary varaince storage */ +void arm_std_f32( + const float32_t * pSrc, + uint32_t blockSize, + float32_t * pResult) +{ + uint32_t blkCnt; /* Loop counter */ + float32_t sum = 0.0f; /* Temporary result storage */ + float32_t sumOfSquares = 0.0f; /* Sum of squares */ + float32_t in; /* Temporary variable to store input value */ + +#ifndef ARM_MATH_CM0_FAMILY + float32_t meanOfSquares, mean, squareOfMean; /* Temporary variables */ +#else + float32_t squareOfSum; /* Square of Sum */ + float32_t var; /* Temporary varaince storage */ #endif - if (blockSize == 1U) + if (blockSize <= 1U) { *pResult = 0; return; } -#if defined (ARM_MATH_DSP) - /* Run the below code for Cortex-M4 and Cortex-M3 */ +#if defined (ARM_MATH_LOOPUNROLL) - /*loop Unrolling */ + /* Loop unrolling: Compute 4 outputs at a time */ 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. */ + /* C = A[0] * A[0] + A[1] * A[1] + ... + A[blockSize-1] * A[blockSize-1] */ + /* C = A[0] + A[1] + ... + A[blockSize-1] */ + in = *pSrc++; - sum += in; + /* Compute sum of squares and store result in a temporary variable, sumOfSquares. */ sumOfSquares += in * in; - in = *pSrc++; + /* Compute sum and store result in a temporary variable, sum. */ sum += in; - sumOfSquares += in * in; + in = *pSrc++; - sum += in; sumOfSquares += in * in; + sum += in; + in = *pSrc++; + sumOfSquares += in * in; sum += in; + + in = *pSrc++; sumOfSquares += in * in; + sum += in; - /* Decrement the loop counter */ + /* Decrement loop counter */ blkCnt--; } - /* If the blockSize is not a multiple of 4, compute any remaining output samples here. - ** No loop unrolling is used. */ + /* Loop unrolling: Compute remaining outputs */ blkCnt = blockSize % 0x4U; +#else + + /* Initialize blkCnt with number of samples */ + blkCnt = blockSize; + +#endif /* #if defined (ARM_MATH_LOOPUNROLL) */ + 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. */ + /* C = A[0] * A[0] + A[1] * A[1] + ... + A[blockSize-1] * A[blockSize-1] */ + /* C = A[0] + A[1] + ... + A[blockSize-1] */ + in = *pSrc++; + /* Compute sum of squares and store result in a temporary variable, sumOfSquares. */ + sumOfSquares += ( in * in); + /* Compute sum and store result in a temporary variable, sum. */ sum += in; - sumOfSquares += in * in; - /* Decrement the loop counter */ + /* Decrement loop counter */ blkCnt--; } - /* Compute Mean of squares of the input samples - * and then store the result in a temporary variable, meanOfSquares. */ +#ifndef ARM_MATH_CM0_FAMILY + + /* Compute Mean of squares and store result in a temporary variable, meanOfSquares. */ meanOfSquares = sumOfSquares / ((float32_t) blockSize - 1.0f); /* Compute mean of all input values */ @@ -143,44 +163,26 @@ void arm_std_f32( squareOfMean = (mean * mean) * (((float32_t) blockSize) / ((float32_t) blockSize - 1.0f)); - /* Compute standard deviation and then store the result to the destination */ + /* Compute standard deviation and store result to 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 */ + /* Compute square of sum */ squareOfSum = ((sum * sum) / (float32_t) blockSize); - /* Compute the variance */ + /* Compute variance */ var = ((sumOfSquares - squareOfSum) / (float32_t) (blockSize - 1.0f)); - /* Compute standard deviation and then store the result to the destination */ + /* Compute standard deviation and store result in destination */ arm_sqrt_f32(var, pResult); -#endif /* #if defined (ARM_MATH_DSP) */ +#endif /* #ifndef ARM_MATH_CM0_FAMILY */ + } +#endif /* #if defined(ARM_MATH_NEON) */ /** - * @} end of STD group + @} end of STD group */ |