/*-----------------------------------------------------------------------------    
* Copyright (C) 2010-2013 ARM Limited. All rights reserved.    
*    
* $Date:        17. January 2013
* $Revision: 	V1.4.1
*    
* Project: 	    CMSIS DSP Library    
* Title:        arm_lms_init_f32.c    
*    
* Description:  Floating-point LMS filter initialization 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
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* ---------------------------------------------------------------------------*/

#include "arm_math.h"

/**    
 * @addtogroup LMS    
 * @{    
 */

  /**    
   * @brief Initialization function for floating-point LMS filter.    
   * @param[in] *S points to an instance of the floating-point LMS filter structure.    
   * @param[in] numTaps  number of filter coefficients.    
   * @param[in] *pCoeffs points to the coefficient buffer.    
   * @param[in] *pState points to state buffer.    
   * @param[in] mu step size that controls filter coefficient updates.    
   * @param[in] blockSize number of samples to process.    
   * @return none.    
   */

/**    
 * \par Description:    
 * <code>pCoeffs</code> points to the array of filter coefficients stored in time reversed order:    
 * <pre>    
 *    {b[numTaps-1], b[numTaps-2], b[N-2], ..., b[1], b[0]}    
 * </pre>    
 * The initial filter coefficients serve as a starting point for the adaptive filter.    
 * <code>pState</code> points to an array of length <code>numTaps+blockSize-1</code> samples, where <code>blockSize</code> is the number of input samples processed by each call to <code>arm_lms_f32()</code>.    
 */

void arm_lms_init_f32(
  arm_lms_instance_f32 * S,
  uint16_t numTaps,
  float32_t * pCoeffs,
  float32_t * pState,
  float32_t mu,
  uint32_t blockSize)
{
  /* Assign filter taps */
  S->numTaps = numTaps;

  /* Assign coefficient pointer */
  S->pCoeffs = pCoeffs;

  /* Clear state buffer and size is always blockSize + numTaps */
  memset(pState, 0, (numTaps + (blockSize - 1)) * sizeof(float32_t));

  /* Assign state pointer */
  S->pState = pState;

  /* Assign Step size value */
  S->mu = mu;
}

/**    
 * @} end of LMS group    
 */