327 lines
8.2 KiB
C
327 lines
8.2 KiB
C
<<<<<<< HEAD
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/* ----------------------------------------------------------------------
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* Project: CMSIS DSP Library
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* Title: arm_mean_f32.c
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* Description: Mean value of a floating-point vector
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*
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* $Date: 23 April 2021
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* $Revision: V1.9.0
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*
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* Target Processor: Cortex-M and Cortex-A cores
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* -------------------------------------------------------------------- */
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/*
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* Copyright (C) 2010-2021 ARM Limited or its affiliates. All rights reserved.
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*
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* SPDX-License-Identifier: Apache-2.0
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*
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* Licensed under the Apache License, Version 2.0 (the License); you may
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* not use this file except in compliance with the License.
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* You may obtain a copy of the License at
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*
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* www.apache.org/licenses/LICENSE-2.0
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*
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* Unless required by applicable law or agreed to in writing, software
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* distributed under the License is distributed on an AS IS BASIS, WITHOUT
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* WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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* See the License for the specific language governing permissions and
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* limitations under the License.
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*/
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#include "dsp/statistics_functions.h"
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/**
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@ingroup groupStats
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*/
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/**
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@addtogroup mean
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@{
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*/
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/**
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@brief Mean value of a floating-point vector.
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@param[in] pSrc points to the input vector.
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@param[in] blockSize number of samples in input vector.
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@param[out] pResult mean value returned here.
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@return none
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*/
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#if defined(ARM_MATH_MVEF) && !defined(ARM_MATH_AUTOVECTORIZE)
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#include "arm_helium_utils.h"
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void arm_mean_f32(
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const float32_t * pSrc,
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uint32_t blockSize,
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float32_t * pResult)
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{
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uint32_t blkCnt; /* loop counters */
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f32x4_t vecSrc;
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f32x4_t sumVec = vdupq_n_f32(0.0f);
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float32_t sum = 0.0f;
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/* Compute 4 outputs at a time */
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blkCnt = blockSize >> 2U;
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while (blkCnt > 0U)
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{
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vecSrc = vldrwq_f32(pSrc);
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sumVec = vaddq_f32(sumVec, vecSrc);
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blkCnt --;
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pSrc += 4;
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}
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sum = vecAddAcrossF32Mve(sumVec);
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/* Tail */
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blkCnt = blockSize & 0x3;
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while (blkCnt > 0U)
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{
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/* C = (A[0] + A[1] + A[2] + ... + A[blockSize-1]) */
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sum += *pSrc++;
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/* Decrement loop counter */
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blkCnt--;
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}
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*pResult = sum / (float32_t) blockSize;
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}
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#else
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#if defined(ARM_MATH_NEON_EXPERIMENTAL) && !defined(ARM_MATH_AUTOVECTORIZE)
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void arm_mean_f32(
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const float32_t * pSrc,
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uint32_t blockSize,
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float32_t * pResult)
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{
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float32_t sum = 0.0f; /* Temporary result storage */
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float32x4_t sumV = vdupq_n_f32(0.0f); /* Temporary result storage */
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float32x2_t sumV2;
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uint32_t blkCnt; /* Loop counter */
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float32x4_t inV;
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blkCnt = blockSize >> 2U;
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/* Compute 4 outputs at a time.
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** a second loop below computes the remaining 1 to 3 samples. */
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while (blkCnt > 0U)
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{
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/* C = (A[0] + A[1] + A[2] + ... + A[blockSize-1]) */
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inV = vld1q_f32(pSrc);
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sumV = vaddq_f32(sumV, inV);
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pSrc += 4;
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/* Decrement the loop counter */
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blkCnt--;
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}
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sumV2 = vpadd_f32(vget_low_f32(sumV),vget_high_f32(sumV));
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sum = vget_lane_f32(sumV2, 0) + vget_lane_f32(sumV2, 1);
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/* If the blockSize is not a multiple of 4, compute any remaining output samples here.
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** No loop unrolling is used. */
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blkCnt = blockSize & 3;
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while (blkCnt > 0U)
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{
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/* C = (A[0] + A[1] + A[2] + ... + A[blockSize-1]) */
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sum += *pSrc++;
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/* Decrement the loop counter */
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blkCnt--;
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}
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/* C = (A[0] + A[1] + A[2] + ... + A[blockSize-1]) / blockSize */
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/* Store the result to the destination */
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*pResult = sum / (float32_t) blockSize;
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}
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#else
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void arm_mean_f32(
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const float32_t * pSrc,
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uint32_t blockSize,
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float32_t * pResult)
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{
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uint32_t blkCnt; /* Loop counter */
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float32_t sum = 0.0f; /* Temporary result storage */
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#if defined (ARM_MATH_LOOPUNROLL) && !defined(ARM_MATH_AUTOVECTORIZE)
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/* Loop unrolling: Compute 4 outputs at a time */
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blkCnt = blockSize >> 2U;
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while (blkCnt > 0U)
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{
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/* C = (A[0] + A[1] + A[2] + ... + A[blockSize-1]) */
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sum += *pSrc++;
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sum += *pSrc++;
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sum += *pSrc++;
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sum += *pSrc++;
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/* Decrement the loop counter */
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blkCnt--;
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}
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/* Loop unrolling: Compute remaining outputs */
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blkCnt = blockSize % 0x4U;
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#else
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/* Initialize blkCnt with number of samples */
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blkCnt = blockSize;
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#endif /* #if defined (ARM_MATH_LOOPUNROLL) */
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while (blkCnt > 0U)
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{
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/* C = (A[0] + A[1] + A[2] + ... + A[blockSize-1]) */
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sum += *pSrc++;
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/* Decrement loop counter */
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blkCnt--;
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}
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/* C = (A[0] + A[1] + A[2] + ... + A[blockSize-1]) / blockSize */
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/* Store result to destination */
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*pResult = (sum / blockSize);
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}
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#endif /* #if defined(ARM_MATH_NEON) */
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#endif /* defined(ARM_MATH_MVEF) && !defined(ARM_MATH_AUTOVECTORIZE) */
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/**
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@} end of mean group
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*/
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=======
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/* ----------------------------------------------------------------------
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* Project: CMSIS DSP Library
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* Title: arm_mean_f32.c
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* Description: Mean value of a floating-point vector
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*
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* $Date: 27. January 2017
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* $Revision: V.1.5.1
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*
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* Target Processor: Cortex-M cores
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* -------------------------------------------------------------------- */
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/*
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* Copyright (C) 2010-2017 ARM Limited or its affiliates. All rights reserved.
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*
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* SPDX-License-Identifier: Apache-2.0
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*
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* Licensed under the Apache License, Version 2.0 (the License); you may
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* not use this file except in compliance with the License.
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* You may obtain a copy of the License at
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*
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* www.apache.org/licenses/LICENSE-2.0
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*
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* Unless required by applicable law or agreed to in writing, software
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* distributed under the License is distributed on an AS IS BASIS, WITHOUT
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* WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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* See the License for the specific language governing permissions and
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* limitations under the License.
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*/
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#include "arm_math.h"
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/**
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* @ingroup groupStats
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*/
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/**
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* @defgroup mean Mean
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*
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* Calculates the mean of the input vector. Mean is defined as the average of the elements in the vector.
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* The underlying algorithm is used:
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*
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* <pre>
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* Result = (pSrc[0] + pSrc[1] + pSrc[2] + ... + pSrc[blockSize-1]) / blockSize;
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* </pre>
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*
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* There are separate functions for floating-point, Q31, Q15, and Q7 data types.
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*/
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/**
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* @addtogroup mean
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* @{
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*/
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/**
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* @brief Mean value of a floating-point vector.
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* @param[in] *pSrc points to the input vector
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* @param[in] blockSize length of the input vector
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* @param[out] *pResult mean value returned here
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* @return none.
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*/
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void arm_mean_f32(
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float32_t * pSrc,
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uint32_t blockSize,
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float32_t * pResult)
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{
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float32_t sum = 0.0f; /* Temporary result storage */
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uint32_t blkCnt; /* loop counter */
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#if defined (ARM_MATH_DSP)
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/* Run the below code for Cortex-M4 and Cortex-M3 */
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float32_t in1, in2, in3, in4;
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/*loop Unrolling */
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blkCnt = blockSize >> 2U;
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/* First part of the processing with loop unrolling. Compute 4 outputs at a time.
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** a second loop below computes the remaining 1 to 3 samples. */
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while (blkCnt > 0U)
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{
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/* C = (A[0] + A[1] + A[2] + ... + A[blockSize-1]) */
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in1 = *pSrc++;
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in2 = *pSrc++;
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in3 = *pSrc++;
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in4 = *pSrc++;
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sum += in1;
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sum += in2;
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sum += in3;
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sum += in4;
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/* Decrement the loop counter */
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blkCnt--;
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}
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/* If the blockSize is not a multiple of 4, compute any remaining output samples here.
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** No loop unrolling is used. */
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blkCnt = blockSize % 0x4U;
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#else
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/* Run the below code for Cortex-M0 */
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/* Loop over blockSize number of values */
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blkCnt = blockSize;
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#endif /* #if defined (ARM_MATH_DSP) */
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while (blkCnt > 0U)
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{
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/* C = (A[0] + A[1] + A[2] + ... + A[blockSize-1]) */
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sum += *pSrc++;
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/* Decrement the loop counter */
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blkCnt--;
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}
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/* C = (A[0] + A[1] + A[2] + ... + A[blockSize-1]) / blockSize */
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/* Store the result to the destination */
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*pResult = sum / (float32_t) blockSize;
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}
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/**
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* @} end of mean group
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*/
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>>>>>>> upper
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