From a81fc41c3eb99e8fc52aa734ee63e13c937aab81 Mon Sep 17 00:00:00 2001 From: JanHenrik Date: Sun, 19 Jan 2020 00:56:37 +0100 Subject: added blink example --- .../DSP/Source/StatisticsFunctions/arm_std_f32.c | 186 +++++++++++++++++++++ 1 file changed, 186 insertions(+) create mode 100644 Blink/Drivers/CMSIS/DSP/Source/StatisticsFunctions/arm_std_f32.c (limited to 'Blink/Drivers/CMSIS/DSP/Source/StatisticsFunctions/arm_std_f32.c') diff --git a/Blink/Drivers/CMSIS/DSP/Source/StatisticsFunctions/arm_std_f32.c b/Blink/Drivers/CMSIS/DSP/Source/StatisticsFunctions/arm_std_f32.c new file mode 100644 index 0000000..e082fc6 --- /dev/null +++ b/Blink/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 + */ -- cgit