138 lines
4.3 KiB
C
138 lines
4.3 KiB
C
/* ----------------------------------------------------------------------
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* Project: CMSIS DSP Library
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* Title: arm_power_q15.c
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* Description: Sum of the squares of the elements of a Q15 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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* @addtogroup power
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* @{
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*/
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/**
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* @brief Sum of the squares of the elements of a Q15 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 sum of the squares value returned here
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* @return none.
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*
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* @details
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* <b>Scaling and Overflow Behavior:</b>
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*
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* \par
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* The function is implemented using a 64-bit internal accumulator.
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* The input is represented in 1.15 format.
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* Intermediate multiplication yields a 2.30 format, and this
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* result is added without saturation to a 64-bit accumulator in 34.30 format.
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* With 33 guard bits in the accumulator, there is no risk of overflow, and the
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* full precision of the intermediate multiplication is preserved.
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* Finally, the return result is in 34.30 format.
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*
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*/
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void arm_power_q15(
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q15_t * pSrc,
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uint32_t blockSize,
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q63_t * pResult)
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{
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q63_t sum = 0; /* Temporary result storage */
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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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q31_t in32; /* Temporary variable to store input value */
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q15_t in16; /* Temporary variable to store input value */
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uint32_t blkCnt; /* loop counter */
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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[0] + A[1] * A[1] + A[2] * A[2] + ... + A[blockSize-1] * A[blockSize-1] */
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/* Compute Power and then store the result in a temporary variable, sum. */
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in32 = *__SIMD32(pSrc)++;
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sum = __SMLALD(in32, in32, sum);
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in32 = *__SIMD32(pSrc)++;
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sum = __SMLALD(in32, in32, sum);
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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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while (blkCnt > 0u)
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{
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/* C = A[0] * A[0] + A[1] * A[1] + A[2] * A[2] + ... + A[blockSize-1] * A[blockSize-1] */
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/* Compute Power and then store the result in a temporary variable, sum. */
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in16 = *pSrc++;
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sum = __SMLALD(in16, in16, sum);
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/* Decrement the loop counter */
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blkCnt--;
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}
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#else
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/* Run the below code for Cortex-M0 */
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q15_t in; /* Temporary variable to store input value */
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uint32_t blkCnt; /* loop counter */
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/* Loop over blockSize number of values */
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blkCnt = blockSize;
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while (blkCnt > 0u)
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{
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/* C = A[0] * A[0] + A[1] * A[1] + A[2] * A[2] + ... + A[blockSize-1] * A[blockSize-1] */
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/* Compute Power and then store the result in a temporary variable, sum. */
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in = *pSrc++;
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sum += ((q31_t) in * in);
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/* Decrement the loop counter */
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blkCnt--;
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}
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#endif /* #if defined (ARM_MATH_DSP) */
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/* Store the results in 34.30 format */
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*pResult = sum;
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}
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/**
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* @} end of power group
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*/
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