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56 | mjames | 1 | /* ---------------------------------------------------------------------- |
2 | * Project: CMSIS DSP Library |
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3 | * Title: arm_std_f32.c |
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4 | * Description: Standard deviation of the elements of a floating-point vector |
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5 | * |
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6 | * $Date: 27. January 2017 |
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7 | * $Revision: V.1.5.1 |
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8 | * |
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9 | * Target Processor: Cortex-M cores |
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10 | * -------------------------------------------------------------------- */ |
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11 | /* |
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12 | * Copyright (C) 2010-2017 ARM Limited or its affiliates. All rights reserved. |
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13 | * |
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14 | * SPDX-License-Identifier: Apache-2.0 |
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15 | * |
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16 | * Licensed under the Apache License, Version 2.0 (the License); you may |
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17 | * not use this file except in compliance with the License. |
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18 | * You may obtain a copy of the License at |
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19 | * |
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20 | * www.apache.org/licenses/LICENSE-2.0 |
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21 | * |
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22 | * Unless required by applicable law or agreed to in writing, software |
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23 | * distributed under the License is distributed on an AS IS BASIS, WITHOUT |
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24 | * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. |
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25 | * See the License for the specific language governing permissions and |
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26 | * limitations under the License. |
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27 | */ |
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28 | |||
29 | #include "arm_math.h" |
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30 | |||
31 | /** |
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32 | * @ingroup groupStats |
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33 | */ |
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34 | |||
35 | /** |
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36 | * @defgroup STD Standard deviation |
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37 | * |
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38 | * Calculates the standard deviation of the elements in the input vector. |
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39 | * The underlying algorithm is used: |
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40 | * |
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41 | * <pre> |
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42 | * Result = sqrt((sumOfSquares - sum<sup>2</sup> / blockSize) / (blockSize - 1)) |
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43 | * |
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44 | * where, sumOfSquares = pSrc[0] * pSrc[0] + pSrc[1] * pSrc[1] + ... + pSrc[blockSize-1] * pSrc[blockSize-1] |
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45 | * |
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46 | * sum = pSrc[0] + pSrc[1] + pSrc[2] + ... + pSrc[blockSize-1] |
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47 | * </pre> |
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48 | * |
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49 | * There are separate functions for floating point, Q31, and Q15 data types. |
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50 | */ |
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51 | |||
52 | /** |
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53 | * @addtogroup STD |
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54 | * @{ |
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55 | */ |
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56 | |||
57 | |||
58 | /** |
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59 | * @brief Standard deviation of the elements of a floating-point vector. |
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60 | * @param[in] *pSrc points to the input vector |
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61 | * @param[in] blockSize length of the input vector |
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62 | * @param[out] *pResult standard deviation value returned here |
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63 | * @return none. |
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64 | */ |
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65 | |||
66 | void arm_std_f32( |
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67 | float32_t * pSrc, |
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68 | uint32_t blockSize, |
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69 | float32_t * pResult) |
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70 | { |
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71 | float32_t sum = 0.0f; /* Temporary result storage */ |
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72 | float32_t sumOfSquares = 0.0f; /* Sum of squares */ |
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73 | float32_t in; /* input value */ |
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74 | uint32_t blkCnt; /* loop counter */ |
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75 | #if defined (ARM_MATH_DSP) |
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76 | float32_t meanOfSquares, mean, squareOfMean; /* Temporary variables */ |
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77 | #else |
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78 | float32_t squareOfSum; /* Square of Sum */ |
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79 | float32_t var; /* Temporary varaince storage */ |
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80 | #endif |
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81 | |||
82 | if (blockSize == 1U) |
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83 | { |
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84 | *pResult = 0; |
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85 | return; |
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86 | } |
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87 | |||
88 | #if defined (ARM_MATH_DSP) |
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89 | /* Run the below code for Cortex-M4 and Cortex-M3 */ |
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90 | |||
91 | /*loop Unrolling */ |
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92 | blkCnt = blockSize >> 2U; |
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93 | |||
94 | /* First part of the processing with loop unrolling. Compute 4 outputs at a time. |
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95 | ** a second loop below computes the remaining 1 to 3 samples. */ |
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96 | while (blkCnt > 0U) |
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97 | { |
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98 | /* C = (A[0] * A[0] + A[1] * A[1] + ... + A[blockSize-1] * A[blockSize-1]) */ |
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99 | /* Compute Sum of squares of the input samples |
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100 | * and then store the result in a temporary variable, sum. */ |
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101 | in = *pSrc++; |
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102 | sum += in; |
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103 | sumOfSquares += in * in; |
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104 | in = *pSrc++; |
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105 | sum += in; |
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106 | sumOfSquares += in * in; |
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107 | in = *pSrc++; |
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108 | sum += in; |
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109 | sumOfSquares += in * in; |
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110 | in = *pSrc++; |
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111 | sum += in; |
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112 | sumOfSquares += in * in; |
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113 | |||
114 | /* Decrement the loop counter */ |
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115 | blkCnt--; |
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116 | } |
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117 | |||
118 | /* If the blockSize is not a multiple of 4, compute any remaining output samples here. |
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119 | ** No loop unrolling is used. */ |
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120 | blkCnt = blockSize % 0x4U; |
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121 | |||
122 | while (blkCnt > 0U) |
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123 | { |
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124 | /* C = (A[0] * A[0] + A[1] * A[1] + ... + A[blockSize-1] * A[blockSize-1]) */ |
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125 | /* Compute Sum of squares of the input samples |
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126 | * and then store the result in a temporary variable, sum. */ |
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127 | in = *pSrc++; |
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128 | sum += in; |
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129 | sumOfSquares += in * in; |
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130 | |||
131 | /* Decrement the loop counter */ |
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132 | blkCnt--; |
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133 | } |
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134 | |||
135 | /* Compute Mean of squares of the input samples |
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136 | * and then store the result in a temporary variable, meanOfSquares. */ |
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137 | meanOfSquares = sumOfSquares / ((float32_t) blockSize - 1.0f); |
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138 | |||
139 | /* Compute mean of all input values */ |
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140 | mean = sum / (float32_t) blockSize; |
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141 | |||
142 | /* Compute square of mean */ |
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143 | squareOfMean = (mean * mean) * (((float32_t) blockSize) / |
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144 | ((float32_t) blockSize - 1.0f)); |
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145 | |||
146 | /* Compute standard deviation and then store the result to the destination */ |
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147 | arm_sqrt_f32((meanOfSquares - squareOfMean), pResult); |
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148 | |||
149 | #else |
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150 | /* Run the below code for Cortex-M0 */ |
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151 | |||
152 | /* Loop over blockSize number of values */ |
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153 | blkCnt = blockSize; |
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154 | |||
155 | while (blkCnt > 0U) |
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156 | { |
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157 | /* C = (A[0] * A[0] + A[1] * A[1] + ... + A[blockSize-1] * A[blockSize-1]) */ |
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158 | /* Compute Sum of squares of the input samples |
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159 | * and then store the result in a temporary variable, sumOfSquares. */ |
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160 | in = *pSrc++; |
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161 | sumOfSquares += in * in; |
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162 | |||
163 | /* C = (A[0] + A[1] + ... + A[blockSize-1]) */ |
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164 | /* Compute Sum of the input samples |
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165 | * and then store the result in a temporary variable, sum. */ |
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166 | sum += in; |
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167 | |||
168 | /* Decrement the loop counter */ |
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169 | blkCnt--; |
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170 | } |
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171 | |||
172 | /* Compute the square of sum */ |
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173 | squareOfSum = ((sum * sum) / (float32_t) blockSize); |
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174 | |||
175 | /* Compute the variance */ |
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176 | var = ((sumOfSquares - squareOfSum) / (float32_t) (blockSize - 1.0f)); |
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177 | |||
178 | /* Compute standard deviation and then store the result to the destination */ |
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179 | arm_sqrt_f32(var, pResult); |
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180 | |||
181 | #endif /* #if defined (ARM_MATH_DSP) */ |
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182 | } |
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183 | |||
184 | /** |
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185 | * @} end of STD group |
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186 | */ |