CMSIS DSP Lib

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cmsis_dsp/MatrixFunctions/arm_mat_add_q15.c

Committer:
emilmont
Date:
2013-05-30
Revision:
2:da51fb522205
Parent:
1:fdd22bb7aa52
Child:
3:7a284390b0ce

File content as of revision 2:da51fb522205:

/* ----------------------------------------------------------------------    
* Copyright (C) 2010 ARM Limited. All rights reserved.    
*    
* $Date:        15. February 2012  
* $Revision: 	V1.1.0  
*    
* Project: 	    CMSIS DSP Library    
* Title:	    arm_mat_add_q15.c    
*    
* Description:	Q15 matrix addition    
*    
* 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 0.0.5  2010/04/26     
*    incorporated review comments and updated with latest CMSIS layer    
*    
* Version 0.0.3  2010/03/10     
*    Initial version    
* -------------------------------------------------------------------- */

#include "arm_math.h"

/**    
 * @ingroup groupMatrix    
 */

/**    
 * @addtogroup MatrixAdd    
 * @{    
 */

/**    
 * @brief Q15 matrix addition.    
 * @param[in]       *pSrcA points to the first input matrix structure    
 * @param[in]       *pSrcB points to the second input matrix structure    
 * @param[out]      *pDst points to output matrix structure    
 * @return     		The function returns either    
 * <code>ARM_MATH_SIZE_MISMATCH</code> or <code>ARM_MATH_SUCCESS</code> based on the outcome of size checking.    
 *    
 * <b>Scaling and Overflow Behavior:</b>    
 * \par    
 * The function uses saturating arithmetic.    
 * Results outside of the allowable Q15 range [0x8000 0x7FFF] will be saturated.    
 */

arm_status arm_mat_add_q15(
  const arm_matrix_instance_q15 * pSrcA,
  const arm_matrix_instance_q15 * pSrcB,
  arm_matrix_instance_q15 * pDst)
{
  q15_t *pInA = pSrcA->pData;                    /* input data matrix pointer A  */
  q15_t *pInB = pSrcB->pData;                    /* input data matrix pointer B */
  q15_t *pOut = pDst->pData;                     /* output data matrix pointer */
  uint16_t numSamples;                           /* total number of elements in the matrix  */
  uint32_t blkCnt;                               /* loop counters  */
  arm_status status;                             /* status of matrix addition  */

#ifdef ARM_MATH_MATRIX_CHECK


  /* Check for matrix mismatch condition */
  if((pSrcA->numRows != pSrcB->numRows) ||
     (pSrcA->numCols != pSrcB->numCols) ||
     (pSrcA->numRows != pDst->numRows) || (pSrcA->numCols != pDst->numCols))
  {
    /* Set status as ARM_MATH_SIZE_MISMATCH */
    status = ARM_MATH_SIZE_MISMATCH;
  }
  else
#endif /*    #ifdef ARM_MATH_MATRIX_CHECK    */

  {
    /* Total number of samples in the input matrix */
    numSamples = (uint16_t) (pSrcA->numRows * pSrcA->numCols);

#ifndef ARM_MATH_CM0

    /* Run the below code for Cortex-M4 and Cortex-M3 */

    /* Loop unrolling */
    blkCnt = (uint32_t) numSamples >> 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(m,n) = A(m,n) + B(m,n) */
      /* Add, Saturate and then store the results in the destination buffer. */
      *__SIMD32(pOut)++ = __QADD16(*__SIMD32(pInA)++, *__SIMD32(pInB)++);
      *__SIMD32(pOut)++ = __QADD16(*__SIMD32(pInA)++, *__SIMD32(pInB)++);

      /* 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 = (uint32_t) numSamples % 0x4u;

    /* q15 pointers of input and output are initialized */

    while(blkCnt > 0u)
    {
      /* C(m,n) = A(m,n) + B(m,n) */
      /* Add, Saturate and then store the results in the destination buffer. */
      *pOut++ = (q15_t) __QADD16(*pInA++, *pInB++);

      /* Decrement the loop counter */
      blkCnt--;
    }

#else

    /* Run the below code for Cortex-M0 */

    /* Initialize blkCnt with number of samples */
    blkCnt = (uint32_t) numSamples;


    /* q15 pointers of input and output are initialized */
    while(blkCnt > 0u)
    {
      /* C(m,n) = A(m,n) + B(m,n) */
      /* Add, Saturate and then store the results in the destination buffer. */
      *pOut++ = (q15_t) __SSAT(((q31_t) * pInA++ + *pInB++), 16);

      /* Decrement the loop counter */
      blkCnt--;
    }

#endif /* #ifndef ARM_MATH_CM0 */

    /* set status as ARM_MATH_SUCCESS */
    status = ARM_MATH_SUCCESS;
  }

  /* Return to application */
  return (status);
}

/**    
 * @} end of MatrixAdd group    
 */