pinebuds/platform/cmsis/DSP_Lib/StatisticsFunctions/arm_mean_q15.c

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/* ----------------------------------------------------------------------
* Project: CMSIS DSP Library
* Title: arm_mean_q15.c
* Description: Mean value of a Q15 vector
*
* $Date: 18. March 2019
* $Revision: V1.6.0
*
* Target Processor: Cortex-M cores
* -------------------------------------------------------------------- */
/*
* Copyright (C) 2010-2019 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
*/
/**
@addtogroup mean
@{
*/
/**
@brief Mean value of a Q15 vector.
@param[in] pSrc points to the input vector
@param[in] blockSize number of samples in input vector
@param[out] pResult mean value returned here
@return none
@par Scaling and Overflow Behavior
The function is implemented using a 32-bit internal
accumulator. The input is represented in 1.15 format and is accumulated in a
32-bit accumulator in 17.15 format. There is no risk of internal overflow with
this approach, and the full precision of intermediate result is preserved.
Finally, the accumulator is truncated to yield a result
of 1.15 format.
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*/
void arm_mean_q15(const q15_t *pSrc, uint32_t blockSize, q15_t *pResult) {
uint32_t blkCnt; /* Loop counter */
q31_t sum = 0; /* Temporary result storage */
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#if defined(ARM_MATH_LOOPUNROLL)
q31_t in;
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#endif
#if defined(ARM_MATH_LOOPUNROLL)
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/* Loop unrolling: Compute 4 outputs at a time */
blkCnt = blockSize >> 2U;
while (blkCnt > 0U) {
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/* C = (A[0] + A[1] + A[2] + ... + A[blockSize-1]) */
in = read_q15x2_ia((q15_t **)&pSrc);
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sum += ((in << 16U) >> 16U);
sum += (in >> 16U);
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in = read_q15x2_ia((q15_t **)&pSrc);
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sum += ((in << 16U) >> 16U);
sum += (in >> 16U);
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/* Decrement the loop counter */
blkCnt--;
}
/* Loop unrolling: Compute remaining outputs */
blkCnt = blockSize % 0x4U;
#else
/* Initialize blkCnt with number of samples */
blkCnt = blockSize;
#endif /* #if defined (ARM_MATH_LOOPUNROLL) */
while (blkCnt > 0U) {
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/* C = (A[0] + A[1] + A[2] + ... + A[blockSize-1]) */
sum += *pSrc++;
/* Decrement loop counter */
blkCnt--;
}
/* C = (A[0] + A[1] + A[2] + ... + A[blockSize-1]) / blockSize */
/* Store result to destination */
*pResult = (q15_t)(sum / (int32_t)blockSize);
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}
/**
@} end of mean group
*/