arm_mean_q7.c
1 /* ---------------------------------------------------------------------- 2 * Project: CMSIS DSP Library 3 * Title: arm_mean_q7.c 4 * Description: Mean value of a Q7 vector 5 * 6 * $Date: 23 April 2021 7 * $Revision: V1.9.0 8 * 9 * Target Processor: Cortex-M and Cortex-A cores 10 * -------------------------------------------------------------------- */ 11 /* 12 * Copyright (C) 2010-2021 ARM Limited or its affiliates. All rights reserved. 13 * 14 * SPDX-License-Identifier: Apache-2.0 15 * 16 * Licensed under the Apache License, Version 2.0 (the License); you may 17 * not use this file except in compliance with the License. 18 * You may obtain a copy of the License at 19 * 20 * www.apache.org/licenses/LICENSE-2.0 21 * 22 * Unless required by applicable law or agreed to in writing, software 23 * distributed under the License is distributed on an AS IS BASIS, WITHOUT 24 * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. 25 * See the License for the specific language governing permissions and 26 * limitations under the License. 27 */ 28 29 #include "dsp/statistics_functions.h" 30 31 /** 32 @ingroup groupStats 33 */ 34 35 /** 36 @addtogroup mean 37 @{ 38 */ 39 40 /** 41 @brief Mean value of a Q7 vector. 42 @param[in] pSrc points to the input vector 43 @param[in] blockSize number of samples in input vector 44 @param[out] pResult mean value returned here 45 @return none 46 47 @par Scaling and Overflow Behavior 48 The function is implemented using a 32-bit internal accumulator. 49 The input is represented in 1.7 format and is accumulated in a 32-bit 50 accumulator in 25.7 format. 51 There is no risk of internal overflow with this approach, and the 52 full precision of intermediate result is preserved. 53 Finally, the accumulator is truncated to yield a result of 1.7 format. 54 */ 55 56 #if defined(ARM_MATH_MVEI) && !defined(ARM_MATH_AUTOVECTORIZE) 57 58 void arm_mean_q7( 59 const q7_t * pSrc, 60 uint32_t blockSize, 61 q7_t * pResult) 62 { 63 uint32_t blkCnt; /* loop counters */ 64 q7x16_t vecSrc; 65 q31_t sum = 0L; 66 67 68 blkCnt = blockSize >> 4; 69 while (blkCnt > 0U) 70 { 71 vecSrc = vldrbq_s8(pSrc); 72 /* 73 * sum lanes 74 */ 75 sum = vaddvaq(sum, vecSrc); 76 77 blkCnt--; 78 pSrc += 16; 79 } 80 81 blkCnt = blockSize & 0xF; 82 while (blkCnt > 0U) 83 { 84 /* C = (A[0] + A[1] + A[2] + ... + A[blockSize-1]) */ 85 sum += *pSrc++; 86 87 /* Decrement loop counter */ 88 blkCnt--; 89 } 90 91 /* C = (A[0] + A[1] + A[2] + ... + A[blockSize-1]) / blockSize */ 92 /* Store the result to the destination */ 93 *pResult = (q7_t) (sum / (int32_t) blockSize); 94 } 95 #else 96 void arm_mean_q7( 97 const q7_t * pSrc, 98 uint32_t blockSize, 99 q7_t * pResult) 100 { 101 uint32_t blkCnt; /* Loop counter */ 102 q31_t sum = 0; /* Temporary result storage */ 103 104 #if defined (ARM_MATH_LOOPUNROLL) 105 q31_t in; 106 #endif 107 108 #if defined (ARM_MATH_LOOPUNROLL) 109 110 /* Loop unrolling: Compute 4 outputs at a time */ 111 blkCnt = blockSize >> 2U; 112 113 while (blkCnt > 0U) 114 { 115 /* C = (A[0] + A[1] + A[2] + ... + A[blockSize-1]) */ 116 in = read_q7x4_ia ((q7_t **) &pSrc); 117 sum += ((in << 24U) >> 24U); 118 sum += ((in << 16U) >> 24U); 119 sum += ((in << 8U) >> 24U); 120 sum += (in >> 24U); 121 122 /* Decrement the loop counter */ 123 blkCnt--; 124 } 125 126 /* Loop unrolling: Compute remaining outputs */ 127 blkCnt = blockSize % 0x4U; 128 129 #else 130 131 /* Initialize blkCnt with number of samples */ 132 blkCnt = blockSize; 133 134 #endif /* #if defined (ARM_MATH_LOOPUNROLL) */ 135 136 while (blkCnt > 0U) 137 { 138 /* C = (A[0] + A[1] + A[2] + ... + A[blockSize-1]) */ 139 sum += *pSrc++; 140 141 /* Decrement loop counter */ 142 blkCnt--; 143 } 144 145 /* C = (A[0] + A[1] + A[2] + ... + A[blockSize-1]) / blockSize */ 146 /* Store result to destination */ 147 *pResult = (q7_t) (sum / (int32_t) blockSize); 148 } 149 #endif /* defined(ARM_MATH_MVEI) */ 150 151 /** 152 @} end of mean group 153 */