armfly-bootloader/Libraries/CMSIS/DSP_Lib/Source/BasicMathFunctions/arm_dot_prod_f32.c

/* ----------------------------------------------------------------------    
* Copyright (C) 2010-2014 ARM Limited. All rights reserved.    
*    
* $Date:        12. March 2014
* $Revision: 	V1.4.4
*    
* Project: 	    CMSIS DSP Library    
* Title:		arm_dot_prod_f32.c    
*    
* Description:	Floating-point dot product.    
*    
* Target Processor: Cortex-M4/Cortex-M3/Cortex-M0
*  
* Redistribution and use in source and binary forms, with or without 
* modification, are permitted provided that the following conditions
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*     notice, this list of conditions and the following disclaimer.
*   - Redistributions in binary form must reproduce the above copyright
*     notice, this list of conditions and the following disclaimer in
*     the documentation and/or other materials provided with the 
*     distribution.
*   - Neither the name of ARM LIMITED nor the names of its contributors
*     may be used to endorse or promote products derived from this
*     software without specific prior written permission.
*
* THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS
* "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT
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* COPYRIGHT OWNER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT,
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* ---------------------------------------------------------------------------- */

#include "arm_math.h"

/**    
 * @ingroup groupMath
 */

/**
 * @defgroup dot_prod Vector Dot Product
 *
 * Computes the dot product of two vectors.
 * The vectors are multiplied element-by-element and then summed.
 *
 * <pre>
 *     sum = pSrcA[0]*pSrcB[0] + pSrcA[1]*pSrcB[1] + ... + pSrcA[blockSize-1]*pSrcB[blockSize-1]
 * </pre>     
 *
 * There are separate functions for floating-point, Q7, Q15, and Q31 data types.    
 */

/**    
 * @addtogroup dot_prod    
 * @{    
 */

/**    
 * @brief Dot product of floating-point vectors.    
 * @param[in]       *pSrcA points to the first input vector    
 * @param[in]       *pSrcB points to the second input vector    
 * @param[in]       blockSize number of samples in each vector    
 * @param[out]      *result output result returned here    
 * @return none.    
 */


void arm_dot_prod_f32(
  float32_t * pSrcA,
  float32_t * pSrcB,
  uint32_t blockSize,
  float32_t * result)
{
  float32_t sum = 0.0f;                          /* Temporary result storage */
  uint32_t blkCnt;                               /* loop counter */


#ifndef ARM_MATH_CM0_FAMILY

/* 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]* B[0] + A[1]* B[1] + A[2]* B[2] + .....+ A[blockSize-1]* B[blockSize-1] */
    /* Calculate dot product and then store the result in a temporary buffer */
    sum += (*pSrcA++) * (*pSrcB++);
    sum += (*pSrcA++) * (*pSrcB++);
    sum += (*pSrcA++) * (*pSrcB++);
    sum += (*pSrcA++) * (*pSrcB++);

    /* 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_FAMILY */


  while(blkCnt > 0u)
  {
    /* C = A[0]* B[0] + A[1]* B[1] + A[2]* B[2] + .....+ A[blockSize-1]* B[blockSize-1] */
    /* Calculate dot product and then store the result in a temporary buffer. */
    sum += (*pSrcA++) * (*pSrcB++);

    /* Decrement the loop counter */
    blkCnt--;
  }
  /* Store the result back in the destination buffer */
  *result = sum;
}

/**    
 * @} end of dot_prod group    
 */