CMSIS DSP Lib
Fork of mbed-dsp by
cmsis_dsp/BasicMathFunctions/arm_scale_f32.c
- Committer:
- emilmont
- Date:
- 2012-11-28
- Revision:
- 1:fdd22bb7aa52
- Child:
- 2:da51fb522205
File content as of revision 1:fdd22bb7aa52:
/* ---------------------------------------------------------------------- * Copyright (C) 2010 ARM Limited. All rights reserved. * * $Date: 15. February 2012 * $Revision: V1.1.0 * * Project: CMSIS DSP Library * Title: arm_scale_f32.c * * Description: Multiplies a floating-point vector by a scalar. * * Target Processor: Cortex-M4/Cortex-M3/Cortex-M0 * * Version 1.1.0 2012/02/15 * Updated with more optimizations, bug fixes and minor API changes. * * Version 1.0.10 2011/7/15 * Big Endian support added and Merged M0 and M3/M4 Source code. * * Version 1.0.3 2010/11/29 * Re-organized the CMSIS folders and updated documentation. * * Version 1.0.2 2010/11/11 * Documentation updated. * * Version 1.0.1 2010/10/05 * Production release and review comments incorporated. * * Version 1.0.0 2010/09/20 * Production release and review comments incorporated * * Version 0.0.7 2010/06/10 * Misra-C changes done * ---------------------------------------------------------------------------- */ #include "arm_math.h" /** * @ingroup groupMath */ /** * @defgroup scale Vector Scale * * Multiply a vector by a scalar value. For floating-point data, the algorithm used is: * * <pre> * pDst[n] = pSrc[n] * scale, 0 <= n < blockSize. * </pre> * * In the fixed-point Q7, Q15, and Q31 functions, <code>scale</code> is represented by * a fractional multiplication <code>scaleFract</code> and an arithmetic shift <code>shift</code>. * The shift allows the gain of the scaling operation to exceed 1.0. * The algorithm used with fixed-point data is: * * <pre> * pDst[n] = (pSrc[n] * scaleFract) << shift, 0 <= n < blockSize. * </pre> * * The overall scale factor applied to the fixed-point data is * <pre> * scale = scaleFract * 2^shift. * </pre> */ /** * @addtogroup scale * @{ */ /** * @brief Multiplies a floating-point vector by a scalar. * @param[in] *pSrc points to the input vector * @param[in] scale scale factor to be applied * @param[out] *pDst points to the output vector * @param[in] blockSize number of samples in the vector * @return none. */ void arm_scale_f32( float32_t * pSrc, float32_t scale, float32_t * pDst, uint32_t blockSize) { uint32_t blkCnt; /* loop counter */ #ifndef ARM_MATH_CM0 /* Run the below code for Cortex-M4 and Cortex-M3 */ float32_t in1, in2, in3, in4; /* temporary variabels */ /*loop Unrolling */ blkCnt = blockSize >> 2u; /* First part of the processing with loop unrolling. Compute 4 outputs at a time. ** a second loop below computes the remaining 1 to 3 samples. */ while(blkCnt > 0u) { /* C = A * scale */ /* Scale the input and then store the results in the destination buffer. */ /* read input samples from source */ in1 = *pSrc; in2 = *(pSrc + 1); /* multiply with scaling factor */ in1 = in1 * scale; /* read input sample from source */ in3 = *(pSrc + 2); /* multiply with scaling factor */ in2 = in2 * scale; /* read input sample from source */ in4 = *(pSrc + 3); /* multiply with scaling factor */ in3 = in3 * scale; in4 = in4 * scale; /* store the result to destination */ *pDst = in1; *(pDst + 1) = in2; *(pDst + 2) = in3; *(pDst + 3) = in4; /* update pointers to process next samples */ pSrc += 4u; pDst += 4u; /* Decrement the loop counter */ blkCnt--; } /* If the blockSize is not a multiple of 4, compute any remaining output samples here. ** No loop unrolling is used. */ blkCnt = blockSize % 0x4u; #else /* Run the below code for Cortex-M0 */ /* Initialize blkCnt with number of samples */ blkCnt = blockSize; #endif /* #ifndef ARM_MATH_CM0 */ while(blkCnt > 0u) { /* C = A * scale */ /* Scale the input and then store the result in the destination buffer. */ *pDst++ = (*pSrc++) * scale; /* Decrement the loop counter */ blkCnt--; } } /** * @} end of scale group */