k60-keil

K60-Keil版本（下载安装MDK4.23）

/* ----------------------------------------------------------------------   
* Copyright (C) 2010 ARM Limited. All rights reserved.   
*   
* $Date:        15. July 2011  
* $Revision: 	V1.0.10  
*   
* Project: 	    CMSIS DSP Library   
* Title:	    arm_fir_interpolate_f32.c   
*   
* Description:	FIR interpolation for floating-point sequences.   
*   
* Target Processor: Cortex-M4/Cortex-M3/Cortex-M0
*  
* 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"

/**   
 * @defgroup FIR_Interpolate Finite Impulse Response (FIR) Interpolator   
 *   
 * These functions combine an upsampler (zero stuffer) and an FIR filter.   
 * They are used in multirate systems for increasing the sample rate of a signal without introducing high frequency images.   
 * Conceptually, the functions are equivalent to the block diagram below:   
 * \image html FIRInterpolator.gif "Components included in the FIR Interpolator functions"   
 * After upsampling by a factor of <code>L</code>, the signal should be filtered by a lowpass filter with a normalized   
 * cutoff frequency of <code>1/L</code> in order to eliminate high frequency copies of the spectrum.   
 * The user of the function is responsible for providing the filter coefficients.   
 *   
 * The FIR interpolator functions provided in the CMSIS DSP Library combine the upsampler and FIR filter in an efficient manner.   
 * The upsampler inserts <code>L-1</code> zeros between each sample.   
 * Instead of multiplying by these zero values, the FIR filter is designed to skip them.   
 * This leads to an efficient implementation without any wasted effort.   
 * The functions operate on blocks of input and output data.   
 * <code>pSrc</code> points to an array of <code>blockSize</code> input values and   
 * <code>pDst</code> points to an array of <code>blockSize*L</code> output values.   
 *   
 * The library provides separate functions for Q15, Q31, and floating-point data types.   
 *   
 * \par Algorithm:   
 * The functions use a polyphase filter structure:   
 * <pre>   
 *    y[n] = b[0] * x[n] + b[L]   * x[n-1] + ... + b[L*(phaseLength-1)] * x[n-phaseLength+1]   
 *    y[n+1] = b[1] * x[n] + b[L+1] * x[n-1] + ... + b[L*(phaseLength-1)+1] * x[n-phaseLength+1]   
 *    ...   
 *    y[n+(L-1)] = b[L-1] * x[n] + b[2*L-1] * x[n-1] + ....+ b[L*(phaseLength-1)+(L-1)] * x[n-phaseLength+1]   
 * </pre>   
 * This approach is more efficient than straightforward upsample-then-filter algorithms.   
 * With this method the computation is reduced by a factor of <code>1/L</code> when compared to using a standard FIR filter.   
 * \par   
 * <code>pCoeffs</code> points to a coefficient array of size <code>numTaps</code>.   
 * <code>numTaps</code> must be a multiple of the interpolation factor <code>L</code> and this is checked by the   
 * initialization functions.   
 * Internally, the function divides the FIR filter's impulse response into shorter filters of length   
 * <code>phaseLength=numTaps/L</code>.   
 * Coefficients are stored in time reversed order.   
 * \par   
 * <pre>   
 *    {b[numTaps-1], b[numTaps-2], b[N-2], ..., b[1], b[0]}   
 * </pre>   
 * \par   
 * <code>pState</code> points to a state array of size <code>blockSize + phaseLength - 1</code>.   
 * Samples in the state buffer are stored in the order:   
 * \par   
 * <pre>   
 *    {x[n-phaseLength+1], x[n-phaseLength], x[n-phaseLength-1], x[n-phaseLength-2]....x[0], x[1], ..., x[blockSize-1]}   
 * </pre>   
 * The state variables are updated after each block of data is processed, the coefficients are untouched.   
 *   
 * \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 arrays may be shared among several instances while state variable array should be allocated separately.   
 * There are separate instance structure declarations for each of the 3 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.   
 * - Checks to make sure that the length of the filter is a multiple of the interpolation factor.   
 *   
 * \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.   
 * The code below statically initializes each of the 3 different data type filter instance structures   
 * <pre>   
 * arm_fir_interpolate_instance_f32 S = {L, phaseLength, pCoeffs, pState};   
 * arm_fir_interpolate_instance_q31 S = {L, phaseLength, pCoeffs, pState};   
 * arm_fir_interpolate_instance_q15 S = {L, phaseLength, pCoeffs, pState};   
 * </pre>   
 * where <code>L</code> is the interpolation factor; <code>phaseLength=numTaps/L</code> is the   
 * length of each of the shorter FIR filters used internally,   
 * <code>pCoeffs</code> is the address of the coefficient buffer;   
 * <code>pState</code> is the address of the state buffer.   
 * Be sure to set the values in the state buffer to zeros when doing static initialization.   
 *   
 * \par Fixed-Point Behavior   
 * Care must be taken when using the fixed-point versions of the FIR interpolate 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_Interpolate   
 * @{   
 */

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

void arm_fir_interpolate_f32(
  const arm_fir_interpolate_instance_f32 * S,
  float32_t * pSrc,
  float32_t * pDst,
  uint32_t blockSize)
{
  float32_t *pState = S->pState;                 /* State pointer */
  float32_t *pCoeffs = S->pCoeffs;               /* Coefficient pointer */
  float32_t *pStateCurnt;                        /* Points to the current sample of the state */
  float32_t *ptr1, *ptr2;                        /* Temporary pointers for state and coefficient buffers */


#ifndef ARM_MATH_CM0

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

  float32_t sum0;                                /* Accumulators */
  float32_t x0, c0;                              /* Temporary variables to hold state and coefficient values */
  uint32_t i, blkCnt, j;                         /* Loop counters */
  uint16_t phaseLen = S->phaseLength, tapCnt;    /* Length of each polyphase filter component */


  /* S->pState buffer contains previous frame (phaseLen - 1) samples */
  /* pStateCurnt points to the location where the new input data should be written */
  pStateCurnt = S->pState + (phaseLen - 1u);

  /* Total number of intput samples */
  blkCnt = blockSize;

  /* Loop over the blockSize. */
  while(blkCnt > 0u)
  {
    /* Copy new input sample into the state buffer */
    *pStateCurnt++ = *pSrc++;

    /* Address modifier index of coefficient buffer */
    j = 1u;

    /* Loop over the Interpolation factor. */
    i = S->L;
    while(i > 0u)
    {
      /* Set accumulator to zero */
      sum0 = 0.0f;

      /* Initialize state pointer */
      ptr1 = pState;

      /* Initialize coefficient pointer */
      ptr2 = pCoeffs + (S->L - j);

      /* Loop over the polyPhase length. Unroll by a factor of 4.   
       ** Repeat until we've computed numTaps-(4*S->L) coefficients. */
      tapCnt = phaseLen >> 2u;
      while(tapCnt > 0u)
      {

        /* Read the coefficient */
        c0 = *(ptr2);

        /* Upsampling is done by stuffing L-1 zeros between each sample.   
         * So instead of multiplying zeros with coefficients,   
         * Increment the coefficient pointer by interpolation factor times. */
        ptr2 += S->L;

        /* Read the input sample */
        x0 = *(ptr1++);

        /* Perform the multiply-accumulate */
        sum0 += x0 * c0;

        /* Read the coefficient */
        c0 = *(ptr2);

        /* Increment the coefficient pointer by interpolation factor times. */
        ptr2 += S->L;

        /* Read the input sample */
        x0 = *(ptr1++);

        /* Perform the multiply-accumulate */
        sum0 += x0 * c0;

        /* Read the coefficient */
        c0 = *(ptr2);

        /* Increment the coefficient pointer by interpolation factor times. */
        ptr2 += S->L;

        /* Read the input sample */
        x0 = *(ptr1++);

        /* Perform the multiply-accumulate */
        sum0 += x0 * c0;

        /* Read the coefficient */
        c0 = *(ptr2);

        /* Increment the coefficient pointer by interpolation factor times. */
        ptr2 += S->L;

        /* Read the input sample */
        x0 = *(ptr1++);

        /* Perform the multiply-accumulate */
        sum0 += x0 * c0;

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

      /* If the polyPhase length is not a multiple of 4, compute the remaining filter taps */
      tapCnt = phaseLen % 0x4u;

      while(tapCnt > 0u)
      {
        /* Perform the multiply-accumulate */
        sum0 += *(ptr1++) * (*ptr2);

        /* Increment the coefficient pointer by interpolation factor times. */
        ptr2 += S->L;

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

      /* The result is in the accumulator, store in the destination buffer. */
      *pDst++ = sum0;

      /* Increment the address modifier index of coefficient buffer */
      j++;

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

    /* Advance the state pointer by 1   
     * to process the next group of interpolation factor number samples */
    pState = pState + 1;

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

  /* Processing is complete.   
   ** Now copy the last phaseLen - 1 samples to the satrt of the state buffer.   
   ** This prepares the state buffer for the next function call. */

  /* Points to the start of the state buffer */
  pStateCurnt = S->pState;

  tapCnt = (phaseLen - 1u) >> 2u;

  /* copy data */
  while(tapCnt > 0u)
  {
    *pStateCurnt++ = *pState++;
    *pStateCurnt++ = *pState++;
    *pStateCurnt++ = *pState++;
    *pStateCurnt++ = *pState++;

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

  tapCnt = (phaseLen - 1u) % 0x04u;

  while(tapCnt > 0u)
  {
    *pStateCurnt++ = *pState++;

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

#else

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

  float32_t sum;                                 /* Accumulator */
  uint32_t i, blkCnt;                            /* Loop counters */
  uint16_t phaseLen = S->phaseLength, tapCnt;    /* Length of each polyphase filter component */


  /* S->pState buffer contains previous frame (phaseLen - 1) samples */
  /* pStateCurnt points to the location where the new input data should be written */
  pStateCurnt = S->pState + (phaseLen - 1u);

  /* Total number of intput samples */
  blkCnt = blockSize;

  /* Loop over the blockSize. */
  while(blkCnt > 0u)
  {
    /* Copy new input sample into the state buffer */
    *pStateCurnt++ = *pSrc++;

    /* Loop over the Interpolation factor. */
    i = S->L;

    while(i > 0u)
    {
      /* Set accumulator to zero */
      sum = 0.0f;

      /* Initialize state pointer */
      ptr1 = pState;

      /* Initialize coefficient pointer */
      ptr2 = pCoeffs + (i - 1u);

      /* Loop over the polyPhase length */
      tapCnt = phaseLen;

      while(tapCnt > 0u)
      {
        /* Perform the multiply-accumulate */
        sum += *ptr1++ * *ptr2;

        /* Increment the coefficient pointer by interpolation factor times. */
        ptr2 += S->L;

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

      /* The result is in the accumulator, store in the destination buffer. */
      *pDst++ = sum;

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

    /* Advance the state pointer by 1          
     * to process the next group of interpolation factor number samples */
    pState = pState + 1;

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

  /* Processing is complete.        
   ** Now copy the last phaseLen - 1 samples to the start of the state buffer.      
   ** This prepares the state buffer for the next function call. */

  /* Points to the start of the state buffer */
  pStateCurnt = S->pState;

  tapCnt = phaseLen - 1u;

  while(tapCnt > 0u)
  {
    *pStateCurnt++ = *pState++;

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

#endif /*   #ifndef ARM_MATH_CM0 */

}

 /**   
  * @} end of FIR_Interpolate group   
  */