/* ---------------------------------------------------------------------- * Copyright (C) 2010 ARM Limited. All rights reserved. * * $Date: 15. February 2012 * $Revision: V1.1.0 * * Project: CMSIS DSP Library * Title: arm_power_f32.c * * Description: Sum of the squares of the elements of a floating-point vector. * * 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 groupStats */ /** * @defgroup power Power * * Calculates the sum of the squares of the elements in the input vector. * The underlying algorithm is used: * *
    
 * 	Result = pSrc[0] * pSrc[0] + pSrc[1] * pSrc[1] + pSrc[2] * pSrc[2] + ... + pSrc[blockSize-1] * pSrc[blockSize-1];    
 * 
* * There are separate functions for floating point, Q31, Q15, and Q7 data types. */ /** * @addtogroup power * @{ */ /** * @brief Sum of the squares of the elements of a floating-point vector. * @param[in] *pSrc points to the input vector * @param[in] blockSize length of the input vector * @param[out] *pResult sum of the squares value returned here * @return none. * */ void arm_power_f32( float32_t * pSrc, uint32_t blockSize, float32_t * pResult) { float32_t sum = 0.0f; /* accumulator */ float32_t in; /* Temporary variable to store input value */ uint32_t blkCnt; /* loop counter */ #ifndef ARM_MATH_CM0 /* Run the below code for Cortex-M4 and Cortex-M3 */ /*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[0] * A[0] + A[1] * A[1] + A[2] * A[2] + ... + A[blockSize-1] * A[blockSize-1] */ /* Compute Power and then store the result in a temporary variable, sum. */ in = *pSrc++; sum += in * in; in = *pSrc++; sum += in * in; in = *pSrc++; sum += in * in; in = *pSrc++; sum += in * in; /* 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 */ /* Loop over blockSize number of values */ blkCnt = blockSize; #endif /* #ifndef ARM_MATH_CM0 */ while(blkCnt > 0u) { /* C = A[0] * A[0] + A[1] * A[1] + A[2] * A[2] + ... + A[blockSize-1] * A[blockSize-1] */ /* compute power and then store the result in a temporary variable, sum. */ in = *pSrc++; sum += in * in; /* Decrement the loop counter */ blkCnt--; } /* Store the result to the destination */ *pResult = sum; } /** * @} end of power group */