Mercurial > pub > halpp
comparison f103c8/Drivers/CMSIS/DSP_Lib/Source/StatisticsFunctions/arm_std_f32.c @ 2:0c59e7a7782a
Working on GPIO and RCC
| author | cin |
|---|---|
| date | Mon, 16 Jan 2017 11:04:47 +0300 |
| parents | |
| children |
comparison
equal
deleted
inserted
replaced
| 1:a0b14b11ad9f | 2:0c59e7a7782a |
|---|---|
| 1 /* ---------------------------------------------------------------------- | |
| 2 * Copyright (C) 2010-2014 ARM Limited. All rights reserved. | |
| 3 * | |
| 4 * $Date: 19. March 2015 | |
| 5 * $Revision: V.1.4.5 | |
| 6 * | |
| 7 * Project: CMSIS DSP Library | |
| 8 * Title: arm_std_f32.c | |
| 9 * | |
| 10 * Description: Standard deviation of the elements of a floating-point vector. | |
| 11 * | |
| 12 * Target Processor: Cortex-M4/Cortex-M3/Cortex-M0 | |
| 13 * | |
| 14 * Redistribution and use in source and binary forms, with or without | |
| 15 * modification, are permitted provided that the following conditions | |
| 16 * are met: | |
| 17 * - Redistributions of source code must retain the above copyright | |
| 18 * notice, this list of conditions and the following disclaimer. | |
| 19 * - Redistributions in binary form must reproduce the above copyright | |
| 20 * notice, this list of conditions and the following disclaimer in | |
| 21 * the documentation and/or other materials provided with the | |
| 22 * distribution. | |
| 23 * - Neither the name of ARM LIMITED nor the names of its contributors | |
| 24 * may be used to endorse or promote products derived from this | |
| 25 * software without specific prior written permission. | |
| 26 * | |
| 27 * THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS | |
| 28 * "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT | |
| 29 * LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS | |
| 30 * FOR A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE | |
| 31 * COPYRIGHT OWNER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, | |
| 32 * INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, | |
| 33 * BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; | |
| 34 * LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER | |
| 35 * CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT | |
| 36 * LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN | |
| 37 * ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE | |
| 38 * POSSIBILITY OF SUCH DAMAGE. | |
| 39 * ---------------------------------------------------------------------------- */ | |
| 40 | |
| 41 #include "arm_math.h" | |
| 42 | |
| 43 /** | |
| 44 * @ingroup groupStats | |
| 45 */ | |
| 46 | |
| 47 /** | |
| 48 * @defgroup STD Standard deviation | |
| 49 * | |
| 50 * Calculates the standard deviation of the elements in the input vector. | |
| 51 * The underlying algorithm is used: | |
| 52 * | |
| 53 * <pre> | |
| 54 * Result = sqrt((sumOfSquares - sum<sup>2</sup> / blockSize) / (blockSize - 1)) | |
| 55 * | |
| 56 * where, sumOfSquares = pSrc[0] * pSrc[0] + pSrc[1] * pSrc[1] + ... + pSrc[blockSize-1] * pSrc[blockSize-1] | |
| 57 * | |
| 58 * sum = pSrc[0] + pSrc[1] + pSrc[2] + ... + pSrc[blockSize-1] | |
| 59 * </pre> | |
| 60 * | |
| 61 * There are separate functions for floating point, Q31, and Q15 data types. | |
| 62 */ | |
| 63 | |
| 64 /** | |
| 65 * @addtogroup STD | |
| 66 * @{ | |
| 67 */ | |
| 68 | |
| 69 | |
| 70 /** | |
| 71 * @brief Standard deviation of the elements of a floating-point vector. | |
| 72 * @param[in] *pSrc points to the input vector | |
| 73 * @param[in] blockSize length of the input vector | |
| 74 * @param[out] *pResult standard deviation value returned here | |
| 75 * @return none. | |
| 76 * | |
| 77 */ | |
| 78 | |
| 79 | |
| 80 void arm_std_f32( | |
| 81 float32_t * pSrc, | |
| 82 uint32_t blockSize, | |
| 83 float32_t * pResult) | |
| 84 { | |
| 85 float32_t sum = 0.0f; /* Temporary result storage */ | |
| 86 float32_t sumOfSquares = 0.0f; /* Sum of squares */ | |
| 87 float32_t in; /* input value */ | |
| 88 uint32_t blkCnt; /* loop counter */ | |
| 89 | |
| 90 #ifndef ARM_MATH_CM0_FAMILY | |
| 91 | |
| 92 /* Run the below code for Cortex-M4 and Cortex-M3 */ | |
| 93 | |
| 94 float32_t meanOfSquares, mean, squareOfMean; | |
| 95 | |
| 96 if(blockSize == 1) | |
| 97 { | |
| 98 *pResult = 0; | |
| 99 return; | |
| 100 } | |
| 101 | |
| 102 /*loop Unrolling */ | |
| 103 blkCnt = blockSize >> 2u; | |
| 104 | |
| 105 /* First part of the processing with loop unrolling. Compute 4 outputs at a time. | |
| 106 ** a second loop below computes the remaining 1 to 3 samples. */ | |
| 107 while(blkCnt > 0u) | |
| 108 { | |
| 109 /* C = (A[0] * A[0] + A[1] * A[1] + ... + A[blockSize-1] * A[blockSize-1]) */ | |
| 110 /* Compute Sum of squares of the input samples | |
| 111 * and then store the result in a temporary variable, sum. */ | |
| 112 in = *pSrc++; | |
| 113 sum += in; | |
| 114 sumOfSquares += in * in; | |
| 115 in = *pSrc++; | |
| 116 sum += in; | |
| 117 sumOfSquares += in * in; | |
| 118 in = *pSrc++; | |
| 119 sum += in; | |
| 120 sumOfSquares += in * in; | |
| 121 in = *pSrc++; | |
| 122 sum += in; | |
| 123 sumOfSquares += in * in; | |
| 124 | |
| 125 /* Decrement the loop counter */ | |
| 126 blkCnt--; | |
| 127 } | |
| 128 | |
| 129 /* If the blockSize is not a multiple of 4, compute any remaining output samples here. | |
| 130 ** No loop unrolling is used. */ | |
| 131 blkCnt = blockSize % 0x4u; | |
| 132 | |
| 133 while(blkCnt > 0u) | |
| 134 { | |
| 135 /* C = (A[0] * A[0] + A[1] * A[1] + ... + A[blockSize-1] * A[blockSize-1]) */ | |
| 136 /* Compute Sum of squares of the input samples | |
| 137 * and then store the result in a temporary variable, sum. */ | |
| 138 in = *pSrc++; | |
| 139 sum += in; | |
| 140 sumOfSquares += in * in; | |
| 141 | |
| 142 /* Decrement the loop counter */ | |
| 143 blkCnt--; | |
| 144 } | |
| 145 | |
| 146 /* Compute Mean of squares of the input samples | |
| 147 * and then store the result in a temporary variable, meanOfSquares. */ | |
| 148 meanOfSquares = sumOfSquares / ((float32_t) blockSize - 1.0f); | |
| 149 | |
| 150 /* Compute mean of all input values */ | |
| 151 mean = sum / (float32_t) blockSize; | |
| 152 | |
| 153 /* Compute square of mean */ | |
| 154 squareOfMean = (mean * mean) * (((float32_t) blockSize) / | |
| 155 ((float32_t) blockSize - 1.0f)); | |
| 156 | |
| 157 /* Compute standard deviation and then store the result to the destination */ | |
| 158 arm_sqrt_f32((meanOfSquares - squareOfMean), pResult); | |
| 159 | |
| 160 #else | |
| 161 | |
| 162 /* Run the below code for Cortex-M0 */ | |
| 163 | |
| 164 float32_t squareOfSum; /* Square of Sum */ | |
| 165 float32_t var; /* Temporary varaince storage */ | |
| 166 | |
| 167 if(blockSize == 1) | |
| 168 { | |
| 169 *pResult = 0; | |
| 170 return; | |
| 171 } | |
| 172 | |
| 173 /* Loop over blockSize number of values */ | |
| 174 blkCnt = blockSize; | |
| 175 | |
| 176 while(blkCnt > 0u) | |
| 177 { | |
| 178 /* C = (A[0] * A[0] + A[1] * A[1] + ... + A[blockSize-1] * A[blockSize-1]) */ | |
| 179 /* Compute Sum of squares of the input samples | |
| 180 * and then store the result in a temporary variable, sumOfSquares. */ | |
| 181 in = *pSrc++; | |
| 182 sumOfSquares += in * in; | |
| 183 | |
| 184 /* C = (A[0] + A[1] + ... + A[blockSize-1]) */ | |
| 185 /* Compute Sum of the input samples | |
| 186 * and then store the result in a temporary variable, sum. */ | |
| 187 sum += in; | |
| 188 | |
| 189 /* Decrement the loop counter */ | |
| 190 blkCnt--; | |
| 191 } | |
| 192 | |
| 193 /* Compute the square of sum */ | |
| 194 squareOfSum = ((sum * sum) / (float32_t) blockSize); | |
| 195 | |
| 196 /* Compute the variance */ | |
| 197 var = ((sumOfSquares - squareOfSum) / (float32_t) (blockSize - 1.0f)); | |
| 198 | |
| 199 /* Compute standard deviation and then store the result to the destination */ | |
| 200 arm_sqrt_f32(var, pResult); | |
| 201 | |
| 202 #endif /* #ifndef ARM_MATH_CM0_FAMILY */ | |
| 203 | |
| 204 } | |
| 205 | |
| 206 /** | |
| 207 * @} end of STD group | |
| 208 */ |
