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2 | mjames | 1 | /* ---------------------------------------------------------------------- |
2 | * Project: CMSIS DSP Library |
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3 | * Title: arm_cmplx_dot_prod_f32.c |
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4 | * Description: Floating-point complex dot product |
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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 groupCmplxMath |
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33 | */ |
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34 | |||
35 | /** |
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36 | * @defgroup cmplx_dot_prod Complex Dot Product |
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37 | * |
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38 | * Computes the dot product of two complex vectors. |
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39 | * The vectors are multiplied element-by-element and then summed. |
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40 | * |
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41 | * The <code>pSrcA</code> points to the first complex input vector and |
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42 | * <code>pSrcB</code> points to the second complex input vector. |
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43 | * <code>numSamples</code> specifies the number of complex samples |
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44 | * and the data in each array is stored in an interleaved fashion |
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45 | * (real, imag, real, imag, ...). |
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46 | * Each array has a total of <code>2*numSamples</code> values. |
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47 | * |
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48 | * The underlying algorithm is used: |
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49 | * <pre> |
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50 | * realResult=0; |
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51 | * imagResult=0; |
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52 | * for(n=0; n<numSamples; n++) { |
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53 | * realResult += pSrcA[(2*n)+0]*pSrcB[(2*n)+0] - pSrcA[(2*n)+1]*pSrcB[(2*n)+1]; |
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54 | * imagResult += pSrcA[(2*n)+0]*pSrcB[(2*n)+1] + pSrcA[(2*n)+1]*pSrcB[(2*n)+0]; |
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55 | * } |
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56 | * </pre> |
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57 | * |
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58 | * There are separate functions for floating-point, Q15, and Q31 data types. |
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59 | */ |
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60 | |||
61 | /** |
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62 | * @addtogroup cmplx_dot_prod |
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63 | * @{ |
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64 | */ |
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65 | |||
66 | /** |
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67 | * @brief Floating-point complex dot product |
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68 | * @param *pSrcA points to the first input vector |
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69 | * @param *pSrcB points to the second input vector |
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70 | * @param numSamples number of complex samples in each vector |
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71 | * @param *realResult real part of the result returned here |
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72 | * @param *imagResult imaginary part of the result returned here |
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73 | * @return none. |
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74 | */ |
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75 | |||
76 | void arm_cmplx_dot_prod_f32( |
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77 | float32_t * pSrcA, |
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78 | float32_t * pSrcB, |
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79 | uint32_t numSamples, |
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80 | float32_t * realResult, |
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81 | float32_t * imagResult) |
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82 | { |
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83 | float32_t real_sum = 0.0f, imag_sum = 0.0f; /* Temporary result storage */ |
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84 | float32_t a0,b0,c0,d0; |
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85 | |||
86 | #if defined (ARM_MATH_DSP) |
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87 | |||
88 | /* Run the below code for Cortex-M4 and Cortex-M3 */ |
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89 | uint32_t blkCnt; /* loop counter */ |
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90 | |||
91 | /*loop Unrolling */ |
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92 | blkCnt = numSamples >> 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 | a0 = *pSrcA++; |
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99 | b0 = *pSrcA++; |
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100 | c0 = *pSrcB++; |
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101 | d0 = *pSrcB++; |
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102 | |||
103 | real_sum += a0 * c0; |
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104 | imag_sum += a0 * d0; |
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105 | real_sum -= b0 * d0; |
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106 | imag_sum += b0 * c0; |
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107 | |||
108 | a0 = *pSrcA++; |
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109 | b0 = *pSrcA++; |
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110 | c0 = *pSrcB++; |
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111 | d0 = *pSrcB++; |
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112 | |||
113 | real_sum += a0 * c0; |
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114 | imag_sum += a0 * d0; |
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115 | real_sum -= b0 * d0; |
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116 | imag_sum += b0 * c0; |
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117 | |||
118 | a0 = *pSrcA++; |
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119 | b0 = *pSrcA++; |
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120 | c0 = *pSrcB++; |
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121 | d0 = *pSrcB++; |
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122 | |||
123 | real_sum += a0 * c0; |
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124 | imag_sum += a0 * d0; |
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125 | real_sum -= b0 * d0; |
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126 | imag_sum += b0 * c0; |
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127 | |||
128 | a0 = *pSrcA++; |
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129 | b0 = *pSrcA++; |
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130 | c0 = *pSrcB++; |
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131 | d0 = *pSrcB++; |
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132 | |||
133 | real_sum += a0 * c0; |
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134 | imag_sum += a0 * d0; |
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135 | real_sum -= b0 * d0; |
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136 | imag_sum += b0 * c0; |
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137 | |||
138 | /* Decrement the loop counter */ |
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139 | blkCnt--; |
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140 | } |
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141 | |||
142 | /* If the numSamples is not a multiple of 4, compute any remaining output samples here. |
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143 | ** No loop unrolling is used. */ |
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144 | blkCnt = numSamples & 0x3U; |
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145 | |||
146 | while (blkCnt > 0U) |
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147 | { |
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148 | a0 = *pSrcA++; |
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149 | b0 = *pSrcA++; |
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150 | c0 = *pSrcB++; |
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151 | d0 = *pSrcB++; |
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152 | |||
153 | real_sum += a0 * c0; |
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154 | imag_sum += a0 * d0; |
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155 | real_sum -= b0 * d0; |
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156 | imag_sum += b0 * c0; |
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157 | |||
158 | /* Decrement the loop counter */ |
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159 | blkCnt--; |
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160 | } |
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161 | |||
162 | #else |
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163 | |||
164 | /* Run the below code for Cortex-M0 */ |
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165 | |||
166 | while (numSamples > 0U) |
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167 | { |
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168 | a0 = *pSrcA++; |
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169 | b0 = *pSrcA++; |
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170 | c0 = *pSrcB++; |
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171 | d0 = *pSrcB++; |
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172 | |||
173 | real_sum += a0 * c0; |
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174 | imag_sum += a0 * d0; |
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175 | real_sum -= b0 * d0; |
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176 | imag_sum += b0 * c0; |
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177 | |||
178 | /* Decrement the loop counter */ |
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179 | numSamples--; |
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180 | } |
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181 | |||
182 | #endif /* #if defined (ARM_MATH_DSP) */ |
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183 | |||
184 | /* Store the real and imaginary results in the destination buffers */ |
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185 | *realResult = real_sum; |
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186 | *imagResult = imag_sum; |
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187 | } |
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188 | |||
189 | /** |
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190 | * @} end of cmplx_dot_prod group |
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191 | */ |