V4.0.1 of the ARM CMSIS DSP libraries. Note that arm_bitreversal2.s, arm_cfft_f32.c and arm_rfft_fast_f32.c had to be removed. arm_bitreversal2.s will not assemble with the online tools. So, the fast f32 FFT functions are not yet available. All the other FFT functions are available.

Dependents:   MPU9150_Example fir_f32 fir_f32 MPU9150_nucleo_noni2cdev ... more

FilteringFunctions/arm_fir_sparse_f32.c

Committer:
emh203
Date:
2014-07-28
Revision:
0:3d9c67d97d6f

File content as of revision 0:3d9c67d97d6f:

/* ----------------------------------------------------------------------    
* Copyright (C) 2010-2014 ARM Limited. All rights reserved.    
*    
* $Date:        12. March 2014
* $Revision: 	V1.4.3
*    
* Project: 	    CMSIS DSP Library    
* Title:	    arm_fir_sparse_f32.c    
*    
* Description:	Floating-point sparse FIR filter processing function.   
*    
* 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
* are met:
*   - Redistributions of source code must retain the above copyright
*     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
* LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS
* FOR A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE 
* COPYRIGHT OWNER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT,
* INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING,
* BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES;
* LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER
* CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT
* LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN
* ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE
* POSSIBILITY OF SUCH DAMAGE.    
* ------------------------------------------------------------------- */
#include "arm_math.h"

/**    
 * @ingroup groupFilters    
 */

/**    
 * @defgroup FIR_Sparse Finite Impulse Response (FIR) Sparse Filters    
 *    
 * This group of functions implements sparse FIR filters.     
 * Sparse FIR filters are equivalent to standard FIR filters except that most of the coefficients are equal to zero.   
 * Sparse filters are used for simulating reflections in communications and audio applications.   
 *   
 * There are separate functions for Q7, Q15, Q31, and floating-point data types.    
 * The functions operate on blocks  of input and output data and each call to the function processes    
 * <code>blockSize</code> samples through the filter.  <code>pSrc</code> and    
 * <code>pDst</code> points to input and output arrays respectively containing <code>blockSize</code> values.    
 *    
 * \par Algorithm:    
 * The sparse filter instant structure contains an array of tap indices <code>pTapDelay</code> which specifies the locations of the non-zero coefficients.   
 * This is in addition to the coefficient array <code>b</code>.   
 * The implementation essentially skips the multiplications by zero and leads to an efficient realization.   
 * <pre>   
 *     y[n] = b[0] * x[n-pTapDelay[0]] + b[1] * x[n-pTapDelay[1]] + b[2] * x[n-pTapDelay[2]] + ...+ b[numTaps-1] * x[n-pTapDelay[numTaps-1]]    
 * </pre>    
 * \par    
 * \image html FIRSparse.gif "Sparse FIR filter.  b[n] represents the filter coefficients"   
 * \par    
 * <code>pCoeffs</code> points to a coefficient array of size <code>numTaps</code>;    
 * <code>pTapDelay</code> points to an array of nonzero indices and is also of size <code>numTaps</code>;   
 * <code>pState</code> points to a state array of size <code>maxDelay + blockSize</code>, where   
 * <code>maxDelay</code> is the largest offset value that is ever used in the <code>pTapDelay</code> array.   
 * Some of the processing functions also require temporary working buffers.   
 *   
 * \par Instance Structure    
 * The coefficients and state variables for a filter are stored together in an instance data structure.    
 * A separate instance structure must be defined for each filter.    
 * Coefficient and offset arrays may be shared among several instances while state variable arrays cannot be shared.    
 * There are separate instance structure declarations for each of the 4 supported data types.    
 *    
 * \par Initialization Functions    
 * There is also an associated initialization function for each data type.    
 * The initialization function performs the following operations:    
 * - Sets the values of the internal structure fields.    
 * - Zeros out the values in the state buffer.    
 * To do this manually without calling the init function, assign the follow subfields of the instance structure:
 * numTaps, pCoeffs, pTapDelay, maxDelay, stateIndex, pState. Also set all of the values in pState to zero. 
 *    
 * \par    
 * Use of the initialization function is optional.    
 * However, if the initialization function is used, then the instance structure cannot be placed into a const data section.    
 * To place an instance structure into a const data section, the instance structure must be manually initialized.    
 * Set the values in the state buffer to zeros before static initialization.    
 * The code below statically initializes each of the 4 different data type filter instance structures    
 * <pre>    
 *arm_fir_sparse_instance_f32 S = {numTaps, 0, pState, pCoeffs, maxDelay, pTapDelay};    
 *arm_fir_sparse_instance_q31 S = {numTaps, 0, pState, pCoeffs, maxDelay, pTapDelay};    
 *arm_fir_sparse_instance_q15 S = {numTaps, 0, pState, pCoeffs, maxDelay, pTapDelay};    
 *arm_fir_sparse_instance_q7 S =  {numTaps, 0, pState, pCoeffs, maxDelay, pTapDelay};    
 * </pre>    
 * \par    
 *    
 * \par Fixed-Point Behavior    
 * Care must be taken when using the fixed-point versions of the sparse FIR filter functions.    
 * In particular, the overflow and saturation behavior of the accumulator used in each function must be considered.    
 * Refer to the function specific documentation below for usage guidelines.    
 */

/**    
 * @addtogroup FIR_Sparse    
 * @{    
 */

/**   
 * @brief Processing function for the floating-point sparse FIR filter.   
 * @param[in]  *S          points to an instance of the floating-point sparse FIR structure.   
 * @param[in]  *pSrc       points to the block of input data.   
 * @param[out] *pDst       points to the block of output data   
 * @param[in]  *pScratchIn points to a temporary buffer of size blockSize.   
 * @param[in]  blockSize   number of input samples to process per call.   
 * @return none.   
 */

void arm_fir_sparse_f32(
  arm_fir_sparse_instance_f32 * S,
  float32_t * pSrc,
  float32_t * pDst,
  float32_t * pScratchIn,
  uint32_t blockSize)
{

  float32_t *pState = S->pState;                 /* State pointer */
  float32_t *pCoeffs = S->pCoeffs;               /* Coefficient pointer */
  float32_t *px;                                 /* Scratch buffer pointer */
  float32_t *py = pState;                        /* Temporary pointers for state buffer */
  float32_t *pb = pScratchIn;                    /* Temporary pointers for scratch buffer */
  float32_t *pOut;                               /* Destination pointer */
  int32_t *pTapDelay = S->pTapDelay;             /* Pointer to the array containing offset of the non-zero tap values. */
  uint32_t delaySize = S->maxDelay + blockSize;  /* state length */
  uint16_t numTaps = S->numTaps;                 /* Number of filter coefficients in the filter  */
  int32_t readIndex;                             /* Read index of the state buffer */
  uint32_t tapCnt, blkCnt;                       /* loop counters */
  float32_t coeff = *pCoeffs++;                  /* Read the first coefficient value */



  /* BlockSize of Input samples are copied into the state buffer */
  /* StateIndex points to the starting position to write in the state buffer */
  arm_circularWrite_f32((int32_t *) py, delaySize, &S->stateIndex, 1,
                        (int32_t *) pSrc, 1, blockSize);


  /* Read Index, from where the state buffer should be read, is calculated. */
  readIndex = ((int32_t) S->stateIndex - (int32_t) blockSize) - *pTapDelay++;

  /* Wraparound of readIndex */
  if(readIndex < 0)
  {
    readIndex += (int32_t) delaySize;
  }

  /* Working pointer for state buffer is updated */
  py = pState;

  /* blockSize samples are read from the state buffer */
  arm_circularRead_f32((int32_t *) py, delaySize, &readIndex, 1,
                       (int32_t *) pb, (int32_t *) pb, blockSize, 1,
                       blockSize);

  /* Working pointer for the scratch buffer */
  px = pb;

  /* Working pointer for destination buffer */
  pOut = pDst;


#ifndef ARM_MATH_CM0_FAMILY

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

  /* Loop over the blockSize. Unroll by a factor of 4.    
   * Compute 4 Multiplications at a time. */
  blkCnt = blockSize >> 2u;

  while(blkCnt > 0u)
  {
    /* Perform Multiplications and store in destination buffer */
    *pOut++ = *px++ * coeff;
    *pOut++ = *px++ * coeff;
    *pOut++ = *px++ * coeff;
    *pOut++ = *px++ * coeff;

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

  /* If the blockSize is not a multiple of 4,    
   * compute the remaining samples */
  blkCnt = blockSize % 0x4u;

  while(blkCnt > 0u)
  {
    /* Perform Multiplications and store in destination buffer */
    *pOut++ = *px++ * coeff;

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

  /* Load the coefficient value and    
   * increment the coefficient buffer for the next set of state values */
  coeff = *pCoeffs++;

  /* Read Index, from where the state buffer should be read, is calculated. */
  readIndex = ((int32_t) S->stateIndex - (int32_t) blockSize) - *pTapDelay++;

  /* Wraparound of readIndex */
  if(readIndex < 0)
  {
    readIndex += (int32_t) delaySize;
  }

  /* Loop over the number of taps. */
  tapCnt = (uint32_t) numTaps - 1u;

  while(tapCnt > 0u)
  {

    /* Working pointer for state buffer is updated */
    py = pState;

    /* blockSize samples are read from the state buffer */
    arm_circularRead_f32((int32_t *) py, delaySize, &readIndex, 1,
                         (int32_t *) pb, (int32_t *) pb, blockSize, 1,
                         blockSize);

    /* Working pointer for the scratch buffer */
    px = pb;

    /* Working pointer for destination buffer */
    pOut = pDst;

    /* Loop over the blockSize. Unroll by a factor of 4.    
     * Compute 4 MACS at a time. */
    blkCnt = blockSize >> 2u;

    while(blkCnt > 0u)
    {
      /* Perform Multiply-Accumulate */
      *pOut++ += *px++ * coeff;
      *pOut++ += *px++ * coeff;
      *pOut++ += *px++ * coeff;
      *pOut++ += *px++ * coeff;

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

    /* If the blockSize is not a multiple of 4,    
     * compute the remaining samples */
    blkCnt = blockSize % 0x4u;

    while(blkCnt > 0u)
    {
      /* Perform Multiply-Accumulate */
      *pOut++ += *px++ * coeff;

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

    /* Load the coefficient value and    
     * increment the coefficient buffer for the next set of state values */
    coeff = *pCoeffs++;

    /* Read Index, from where the state buffer should be read, is calculated. */
    readIndex = ((int32_t) S->stateIndex -
                 (int32_t) blockSize) - *pTapDelay++;

    /* Wraparound of readIndex */
    if(readIndex < 0)
    {
      readIndex += (int32_t) delaySize;
    }

    /* Decrement the tap loop counter */
    tapCnt--;
  }

#else

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

  blkCnt = blockSize;

  while(blkCnt > 0u)
  {
    /* Perform Multiplications and store in destination buffer */
    *pOut++ = *px++ * coeff;

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

  /* Load the coefficient value and           
   * increment the coefficient buffer for the next set of state values */
  coeff = *pCoeffs++;

  /* Read Index, from where the state buffer should be read, is calculated. */
  readIndex = ((int32_t) S->stateIndex - (int32_t) blockSize) - *pTapDelay++;

  /* Wraparound of readIndex */
  if(readIndex < 0)
  {
    readIndex += (int32_t) delaySize;
  }

  /* Loop over the number of taps. */
  tapCnt = (uint32_t) numTaps - 1u;

  while(tapCnt > 0u)
  {

    /* Working pointer for state buffer is updated */
    py = pState;

    /* blockSize samples are read from the state buffer */
    arm_circularRead_f32((int32_t *) py, delaySize, &readIndex, 1,
                         (int32_t *) pb, (int32_t *) pb, blockSize, 1,
                         blockSize);

    /* Working pointer for the scratch buffer */
    px = pb;

    /* Working pointer for destination buffer */
    pOut = pDst;

    blkCnt = blockSize;

    while(blkCnt > 0u)
    {
      /* Perform Multiply-Accumulate */
      *pOut++ += *px++ * coeff;

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

    /* Load the coefficient value and           
     * increment the coefficient buffer for the next set of state values */
    coeff = *pCoeffs++;

    /* Read Index, from where the state buffer should be read, is calculated. */
    readIndex =
      ((int32_t) S->stateIndex - (int32_t) blockSize) - *pTapDelay++;

    /* Wraparound of readIndex */
    if(readIndex < 0)
    {
      readIndex += (int32_t) delaySize;
    }

    /* Decrement the tap loop counter */
    tapCnt--;
  }

#endif /*   #ifndef ARM_MATH_CM0_FAMILY        */

}

/**    
 * @} end of FIR_Sparse group    
 */