/* ----------------------------------------------------------------------    
* Copyright (C) 2010 ARM Limited. All rights reserved.    
*    
* $Date: 14/06/07 1:57a $Revision: 	V1.1.0  
*    
* Project: 	    CMSIS DSP Library    
* Title:	    arm_biquad_cascade_df1_fast_q15.c    
*    
* Description:	Fast processing function for the    
*				Q15 Biquad cascade filter.    
*    
* Target Processor: Cortex-M4/Cortex-M3
*  
* 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 0.0.9  2010/08/16     
*    Initial version    
*    
*    
* -------------------------------------------------------------------- */

#include "arm_math.h"

/**    
 * @ingroup groupFilters    
 */

/**    
 * @addtogroup BiquadCascadeDF1    
 * @{    
 */

/**    
 * @details    
 * @param[in]  *S points to an instance of the Q15 Biquad cascade 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 samples to process per call.    
 * @return none.    
 *    
 * <b>Scaling and Overflow Behavior:</b>    
 * \par    
 * This fast version uses a 32-bit accumulator with 2.30 format.    
 * The accumulator maintains full precision of the intermediate multiplication results but provides only a single guard bit.    
 * Thus, if the accumulator result overflows it wraps around and distorts the result.    
 * In order to avoid overflows completely the input signal must be scaled down by two bits and lie in the range [-0.25 +0.25).    
 * The 2.30 accumulator is then shifted by <code>postShift</code> bits and the result truncated to 1.15 format by discarding the low 16 bits.    
 *    
 * \par    
 * Refer to the function <code>arm_biquad_cascade_df1_q15()</code> for a slower implementation of this function which uses 64-bit accumulation to avoid wrap around distortion.  Both the slow and the fast versions use the same instance structure.    
 * Use the function <code>arm_biquad_cascade_df1_init_q15()</code> to initialize the filter structure.    
 *    
 */

void arm_biquad_cascade_df1_fast_q15(
  const arm_biquad_casd_df1_inst_q15 * S,
  q15_t * pSrc,
  q15_t * pDst,
  uint32_t blockSize)
{
  q15_t *pIn = pSrc;                             /*  Source pointer                               */
  q15_t *pOut = pDst;                            /*  Destination pointer                          */
  q31_t in;                                      /*  Temporary variable to hold input value       */
  q31_t out;                                     /*  Temporary variable to hold output value      */
  q31_t b0;                                      /*  Temporary variable to hold bo value          */
  q31_t b1, a1;                                  /*  Filter coefficients                          */
  q31_t state_in, state_out;                     /*  Filter state variables                       */
  q31_t acc;                                     /*  Accumulator                                  */
  int32_t shift = (int32_t) (15 - S->postShift); /*  Post shift                                   */
  q15_t *pState = S->pState;                     /*  State pointer                                */
  q15_t *pCoeffs = S->pCoeffs;                   /*  Coefficient pointer                          */
  uint32_t sample, stage = S->numStages;         /*  Stage loop counter                           */



  do
  {

    /* Read the b0 and 0 coefficients using SIMD  */
    b0 = *__SIMD32(pCoeffs)++;

    /* Read the b1 and b2 coefficients using SIMD */
    b1 = *__SIMD32(pCoeffs)++;

    /* Read the a1 and a2 coefficients using SIMD */
    a1 = *__SIMD32(pCoeffs)++;

    /* Read the input state values from the state buffer:  x[n-1], x[n-2] */
    state_in = *__SIMD32(pState)++;

    /* Read the output state values from the state buffer:  y[n-1], y[n-2] */
    state_out = *__SIMD32(pState)--;

    /* Apply loop unrolling and compute 2 output values simultaneously. */
    /*      The variable acc hold output values that are being computed:       
     *    
     *    acc =  b0 * x[n] + b1 * x[n-1] + b2 * x[n-2] + a1 * y[n-1] + a2 * y[n-2]       
     *    acc =  b0 * x[n] + b1 * x[n-1] + b2 * x[n-2] + a1 * y[n-1] + a2 * y[n-2]       
     */
    sample = blockSize >> 1u;

    /* First part of the processing with loop unrolling.  Compute 2 outputs at a time.    
     ** a second loop below computes the remaining 1 sample. */
    while(sample > 0u)
    {

      /* Read the input */
      in = *__SIMD32(pIn)++;

      /* out =  b0 * x[n] + 0 * 0 */
      out = __SMUAD(b0, in);
      /* acc =  b1 * x[n-1] + acc +=  b2 * x[n-2] + out */
      acc = __SMLAD(b1, state_in, out);
      /* acc +=  a1 * y[n-1] + acc +=  a2 * y[n-2] */
      acc = __SMLAD(a1, state_out, acc);

      /* The result is converted from 3.29 to 1.31 and then saturation is applied */
      out = __SSAT((acc >> shift), 16);

      /* Every time after the output is computed state should be updated. */
      /* The states should be updated as:  */
      /* Xn2 = Xn1    */
      /* Xn1 = Xn     */
      /* Yn2 = Yn1    */
      /* Yn1 = acc   */
      /* x[n-N], x[n-N-1] are packed together to make state_in of type q31 */
      /* y[n-N], y[n-N-1] are packed together to make state_out of type q31 */

#ifndef  ARM_MATH_BIG_ENDIAN

      state_in = __PKHBT(in, state_in, 16);
      state_out = __PKHBT(out, state_out, 16);

#else

      state_in = __PKHBT(state_in >> 16, (in >> 16), 16);
      state_out = __PKHBT(state_out >> 16, (out), 16);

#endif /*      #ifndef  ARM_MATH_BIG_ENDIAN    */

      /* out =  b0 * x[n] + 0 * 0 */
      out = __SMUADX(b0, in);
      /* acc0 =  b1 * x[n-1] , acc0 +=  b2 * x[n-2] + out */
      acc = __SMLAD(b1, state_in, out);
      /* acc +=  a1 * y[n-1] + acc +=  a2 * y[n-2] */
      acc = __SMLAD(a1, state_out, acc);

      /* The result is converted from 3.29 to 1.31 and then saturation is applied */
      out = __SSAT((acc >> shift), 16);


      /* Store the output in the destination buffer. */

#ifndef  ARM_MATH_BIG_ENDIAN

      *__SIMD32(pOut)++ = __PKHBT(state_out, out, 16);

#else

      *__SIMD32(pOut)++ = __PKHBT(out, state_out >> 16, 16);

#endif /*      #ifndef  ARM_MATH_BIG_ENDIAN    */

      /* Every time after the output is computed state should be updated. */
      /* The states should be updated as:  */
      /* Xn2 = Xn1    */
      /* Xn1 = Xn     */
      /* Yn2 = Yn1    */
      /* Yn1 = acc   */
      /* x[n-N], x[n-N-1] are packed together to make state_in of type q31 */
      /* y[n-N], y[n-N-1] are packed together to make state_out of type q31 */

#ifndef  ARM_MATH_BIG_ENDIAN

      state_in = __PKHBT(in >> 16, state_in, 16);
      state_out = __PKHBT(out, state_out, 16);

#else

      state_in = __PKHBT(state_in >> 16, in, 16);
      state_out = __PKHBT(state_out >> 16, out, 16);

#endif /*      #ifndef  ARM_MATH_BIG_ENDIAN    */


      /* Decrement the loop counter */
      sample--;

    }

    /* If the blockSize is not a multiple of 2, compute any remaining output samples here.    
     ** No loop unrolling is used. */

    if((blockSize & 0x1u) != 0u)
    {
      /* Read the input */
      in = *pIn++;

      /* out =  b0 * x[n] + 0 * 0 */

#ifndef  ARM_MATH_BIG_ENDIAN

      out = __SMUAD(b0, in);

#else

      out = __SMUADX(b0, in);

#endif /*      #ifndef  ARM_MATH_BIG_ENDIAN    */

      /* acc =  b1 * x[n-1], acc +=  b2 * x[n-2] + out */
      acc = __SMLAD(b1, state_in, out);
      /* acc +=  a1 * y[n-1] + acc +=  a2 * y[n-2] */
      acc = __SMLAD(a1, state_out, acc);

      /* The result is converted from 3.29 to 1.31 and then saturation is applied */
      out = __SSAT((acc >> shift), 16);

      /* Store the output in the destination buffer. */
      *pOut++ = (q15_t) out;

      /* Every time after the output is computed state should be updated. */
      /* The states should be updated as:  */
      /* Xn2 = Xn1    */
      /* Xn1 = Xn     */
      /* Yn2 = Yn1    */
      /* Yn1 = acc   */
      /* x[n-N], x[n-N-1] are packed together to make state_in of type q31 */
      /* y[n-N], y[n-N-1] are packed together to make state_out of type q31 */

#ifndef  ARM_MATH_BIG_ENDIAN

      state_in = __PKHBT(in, state_in, 16);
      state_out = __PKHBT(out, state_out, 16);

#else

      state_in = __PKHBT(state_in >> 16, in, 16);
      state_out = __PKHBT(state_out >> 16, out, 16);

#endif /*   #ifndef  ARM_MATH_BIG_ENDIAN    */

    }

    /*  The first stage goes from the input buffer to the output buffer.  */
    /*  Subsequent (numStages - 1) occur in-place in the output buffer  */
    pIn = pDst;

    /* Reset the output pointer */
    pOut = pDst;

    /*  Store the updated state variables back into the state array */
    *__SIMD32(pState)++ = state_in;
    *__SIMD32(pState)++ = state_out;


    /* Decrement the loop counter */
    stage--;

  } while(stage > 0u);
}


/**    
 * @} end of BiquadCascadeDF1 group    
 */
