/* ----------------------------------------------------------------------
* Project: CMSIS DSP Library
* Title: arm_cmplx_mag_squared_f16.c
* Description: Floating-point complex magnitude squared
*
* $Date: 23 April 2021
* $Revision: V1.9.0
*
* Target Processor: Cortex-M and Cortex-A cores
* -------------------------------------------------------------------- */
/*
* Copyright (C) 2010-2021 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 "dsp/complex_math_functions_f16.h"
#if defined(ARM_FLOAT16_SUPPORTED)
/**
@ingroup groupCmplxMath
*/
/**
@defgroup cmplx_mag_squared Complex Magnitude Squared
Computes the magnitude squared of the elements of a complex data vector.
The pSrc
points to the source data and
pDst
points to the where the result should be written.
numSamples
specifies the number of complex samples
in the input array and the data is stored in an interleaved fashion
(real, imag, real, imag, ...).
The input array has a total of 2*numSamples
values;
the output array has a total of numSamples
values.
The underlying algorithm is used:
for (n = 0; n < numSamples; n++) { pDst[n] = pSrc[(2*n)+0]^2 + pSrc[(2*n)+1]^2; }There are separate functions for floating-point, Q15, and Q31 data types. */ /** @addtogroup cmplx_mag_squared @{ */ /** @brief Floating-point complex magnitude squared. @param[in] pSrc points to input vector @param[out] pDst points to output vector @param[in] numSamples number of samples in each vector @return none */ #if defined(ARM_MATH_MVE_FLOAT16) && !defined(ARM_MATH_AUTOVECTORIZE) void arm_cmplx_mag_squared_f16( const float16_t * pSrc, float16_t * pDst, uint32_t numSamples) { int32_t blockSize = numSamples; /* loop counters */ f16x8x2_t vecSrc; f16x8_t sum; /* Compute 4 complex samples at a time */ while (blockSize > 0) { mve_pred16_t p = vctp16q(blockSize); vecSrc = vld2q(pSrc); sum = vmulq_m(vuninitializedq_f16(),vecSrc.val[0], vecSrc.val[0],p); sum = vfmaq_m(sum, vecSrc.val[1], vecSrc.val[1],p); vstrhq_p_f16(pDst, sum,p); pSrc += 16; pDst += 8; /* * Decrement the blockSize loop counter */ blockSize-= 8; } } #else void arm_cmplx_mag_squared_f16( const float16_t * pSrc, float16_t * pDst, uint32_t numSamples) { uint32_t blkCnt; /* Loop counter */ _Float16 real, imag; /* Temporary input variables */ #if defined (ARM_MATH_LOOPUNROLL) && !defined(ARM_MATH_AUTOVECTORIZE) /* Loop unrolling: Compute 4 outputs at a time */ blkCnt = numSamples >> 2U; while (blkCnt > 0U) { /* C[0] = (A[0] * A[0] + A[1] * A[1]) */ real = *pSrc++; imag = *pSrc++; *pDst++ = (real * real) + (imag * imag); real = *pSrc++; imag = *pSrc++; *pDst++ = (real * real) + (imag * imag); real = *pSrc++; imag = *pSrc++; *pDst++ = (real * real) + (imag * imag); real = *pSrc++; imag = *pSrc++; *pDst++ = (real * real) + (imag * imag); /* Decrement loop counter */ blkCnt--; } /* Loop unrolling: Compute remaining outputs */ blkCnt = numSamples % 0x4U; #else /* Initialize blkCnt with number of samples */ blkCnt = numSamples; #endif /* #if defined (ARM_MATH_LOOPUNROLL) */ while (blkCnt > 0U) { /* C[0] = (A[0] * A[0] + A[1] * A[1]) */ real = *pSrc++; imag = *pSrc++; /* store result in destination buffer. */ *pDst++ = (real * real) + (imag * imag); /* Decrement loop counter */ blkCnt--; } } #endif /* defined(ARM_MATH_MVEF) && !defined(ARM_MATH_AUTOVECTORIZE) */ /** @} end of cmplx_mag_squared group */ #endif /* #if defined(ARM_FLOAT16_SUPPORTED) */