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Diffstat (limited to 'Drivers/CMSIS/DSP/Source/ComplexMathFunctions/arm_cmplx_mag_f16.c')
| -rw-r--r-- | Drivers/CMSIS/DSP/Source/ComplexMathFunctions/arm_cmplx_mag_f16.c | 241 |
1 files changed, 241 insertions, 0 deletions
diff --git a/Drivers/CMSIS/DSP/Source/ComplexMathFunctions/arm_cmplx_mag_f16.c b/Drivers/CMSIS/DSP/Source/ComplexMathFunctions/arm_cmplx_mag_f16.c new file mode 100644 index 0000000..1f93598 --- /dev/null +++ b/Drivers/CMSIS/DSP/Source/ComplexMathFunctions/arm_cmplx_mag_f16.c @@ -0,0 +1,241 @@ +/* ---------------------------------------------------------------------- + * Project: CMSIS DSP Library + * Title: arm_cmplx_mag_f16.c + * Description: Floating-point complex magnitude + * + * $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 Complex Magnitude + + Computes the magnitude of the elements of a complex data vector. + + The <code>pSrc</code> points to the source data and + <code>pDst</code> points to the where the result should be written. + <code>numSamples</code> 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 <code>2*numSamples</code> values; + the output array has a total of <code>numSamples</code> values. + + The underlying algorithm is used: + + <pre> + for (n = 0; n < numSamples; n++) { + pDst[n] = sqrt(pSrc[(2*n)+0]^2 + pSrc[(2*n)+1]^2); + } + </pre> + + There are separate functions for floating-point, Q15, and Q31 data types. + */ + +/** + @addtogroup cmplx_mag + @{ + */ + +/** + @brief Floating-point complex magnitude. + @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) + +#include "arm_helium_utils.h" + + +void arm_cmplx_mag_f16( + const float16_t * pSrc, + float16_t * pDst, + uint32_t numSamples) +{ + int32_t blockSize = numSamples; /* loop counters */ + uint32_t blkCnt; /* loop counters */ + f16x8x2_t vecSrc; + f16x8_t sum; + + /* Compute 4 complex samples at a time */ + blkCnt = blockSize >> 3; + while (blkCnt > 0U) + { + q15x8_t newtonStartVec; + f16x8_t sumHalf, invSqrt; + + vecSrc = vld2q(pSrc); + pSrc += 16; + sum = vmulq(vecSrc.val[0], vecSrc.val[0]); + sum = vfmaq(sum, vecSrc.val[1], vecSrc.val[1]); + + /* + * inlined Fast SQRT using inverse SQRT newton-raphson method + */ + + /* compute initial value */ + newtonStartVec = vdupq_n_s16(INVSQRT_MAGIC_F16) - vshrq((q15x8_t) sum, 1); + sumHalf = sum * 0.5f; + /* + * compute 3 x iterations + * + * The more iterations, the more accuracy. + * If you need to trade a bit of accuracy for more performance, + * you can comment out the 3rd use of the macro. + */ + INVSQRT_NEWTON_MVE_F16(invSqrt, sumHalf, (f16x8_t) newtonStartVec); + INVSQRT_NEWTON_MVE_F16(invSqrt, sumHalf, invSqrt); + INVSQRT_NEWTON_MVE_F16(invSqrt, sumHalf, invSqrt); + /* + * set negative values to 0 + */ + invSqrt = vdupq_m(invSqrt, (float16_t)0.0f, vcmpltq(invSqrt, (float16_t)0.0f)); + /* + * sqrt(x) = x * invSqrt(x) + */ + sum = vmulq(sum, invSqrt); + vstrhq_f16(pDst, sum); + pDst += 8; + /* + * Decrement the blockSize loop counter + */ + blkCnt--; + } + /* + * tail + */ + blkCnt = blockSize & 7; + if (blkCnt > 0U) + { + mve_pred16_t p0 = vctp16q(blkCnt); + q15x8_t newtonStartVec; + f16x8_t sumHalf, invSqrt; + + vecSrc = vld2q((float16_t const *)pSrc); + sum = vmulq(vecSrc.val[0], vecSrc.val[0]); + sum = vfmaq(sum, vecSrc.val[1], vecSrc.val[1]); + + /* + * inlined Fast SQRT using inverse SQRT newton-raphson method + */ + + /* compute initial value */ + newtonStartVec = vdupq_n_s16(INVSQRT_MAGIC_F16) - vshrq((q15x8_t) sum, 1); + sumHalf = vmulq(sum, (float16_t)0.5); + /* + * compute 2 x iterations + */ + INVSQRT_NEWTON_MVE_F16(invSqrt, sumHalf, (f16x8_t) newtonStartVec); + INVSQRT_NEWTON_MVE_F16(invSqrt, sumHalf, invSqrt); + /* + * set negative values to 0 + */ + invSqrt = vdupq_m(invSqrt, (float16_t)0.0, vcmpltq(invSqrt, (float16_t)0.0)); + /* + * sqrt(x) = x * invSqrt(x) + */ + sum = vmulq(sum, invSqrt); + vstrhq_p_f16(pDst, sum, p0); + } +} + +#else +void arm_cmplx_mag_f16( + const float16_t * pSrc, + float16_t * pDst, + uint32_t numSamples) +{ + uint32_t blkCnt; /* loop counter */ + _Float16 real, imag; /* Temporary variables to hold input values */ + +#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] = sqrt(A[0] * A[0] + A[1] * A[1]) */ + + real = *pSrc++; + imag = *pSrc++; + + /* store result in destination buffer. */ + arm_sqrt_f16((real * real) + (imag * imag), pDst++); + + real = *pSrc++; + imag = *pSrc++; + arm_sqrt_f16((real * real) + (imag * imag), pDst++); + + real = *pSrc++; + imag = *pSrc++; + arm_sqrt_f16((real * real) + (imag * imag), pDst++); + + real = *pSrc++; + imag = *pSrc++; + arm_sqrt_f16((real * real) + (imag * imag), pDst++); + + /* 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] = sqrt(A[0] * A[0] + A[1] * A[1]) */ + + real = *pSrc++; + imag = *pSrc++; + + /* store result in destination buffer. */ + arm_sqrt_f16((real * real) + (imag * imag), pDst++); + + /* Decrement loop counter */ + blkCnt--; + } + +} +#endif /* defined(ARM_MATH_MVEF) && !defined(ARM_MATH_AUTOVECTORIZE) */ + +/** + @} end of cmplx_mag group + */ + +#endif /* #if defined(ARM_FLOAT16_SUPPORTED) */ |