/* ---------------------------------------------------------------------- * Copyright (C) 2010-2013 ARM Limited. All rights reserved. * * $Date: 17. January 2013 * $Revision: V1.4.1 * * Project: CMSIS DSP Library * Title: arm_iir_lattice_f32.c * * Description: Floating-point IIR Lattice 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 IIR_Lattice Infinite Impulse Response (IIR) Lattice Filters * * This set of functions implements lattice filters * for Q15, Q31 and floating-point data types. Lattice filters are used in a * variety of adaptive filter applications. The filter structure has feedforward and * feedback components and the net impulse response is infinite length. * The functions operate on blocks * of input and output data and each call to the function processes * blockSize samples through the filter. pSrc and * pDst point to input and output arrays containing blockSize values. * \par Algorithm: * \image html IIRLattice.gif "Infinite Impulse Response Lattice filter" *
    
 *    fN(n)   =  x(n)    
 *    fm-1(n) = fm(n) - km * gm-1(n-1)   for m = N, N-1, ...1    
 *    gm(n)   = km * fm-1(n) + gm-1(n-1) for m = N, N-1, ...1    
 *    y(n)    = vN * gN(n) + vN-1 * gN-1(n) + ...+ v0 * g0(n)    
 * 
* \par * pkCoeffs points to array of reflection coefficients of size numStages. * Reflection coefficients are stored in time-reversed order. * \par *
    
 *    {kN, kN-1, ....k1}    
 * 
* pvCoeffs points to the array of ladder coefficients of size (numStages+1). * Ladder coefficients are stored in time-reversed order. * \par *
    
 *    {vN, vN-1, ...v0}    
 * 
* pState points to a state array of size numStages + blockSize. * The state variables shown in the figure above (the g values) are stored in the pState array. * 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 arrays cannot be shared. * 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. * To do this manually without calling the init function, assign the follow subfields of the instance structure: * numStages, pkCoeffs, pvCoeffs, 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 and then manually initialize the instance structure as follows: *
    
 *arm_iir_lattice_instance_f32 S = {numStages, pState, pkCoeffs, pvCoeffs};    
 *arm_iir_lattice_instance_q31 S = {numStages, pState, pkCoeffs, pvCoeffs};    
 *arm_iir_lattice_instance_q15 S = {numStages, pState, pkCoeffs, pvCoeffs};    
 * 
* \par * where numStages is the number of stages in the filter; pState points to the state buffer array; * pkCoeffs points to array of the reflection coefficients; pvCoeffs points to the array of ladder coefficients. * \par Fixed-Point Behavior * Care must be taken when using the fixed-point versions of the IIR lattice 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 IIR_Lattice * @{ */ /** * @brief Processing function for the floating-point IIR lattice filter. * @param[in] *S points to an instance of the floating-point IIR lattice 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. * @return none. */ #ifndef ARM_MATH_CM0_FAMILY /* Run the below code for Cortex-M4 and Cortex-M3 */ void arm_iir_lattice_f32( const arm_iir_lattice_instance_f32 * S, float32_t * pSrc, float32_t * pDst, uint32_t blockSize) { float32_t fnext1, gcurr1, gnext; /* Temporary variables for lattice stages */ float32_t acc; /* Accumlator */ uint32_t blkCnt, tapCnt; /* temporary variables for counts */ float32_t *px1, *px2, *pk, *pv; /* temporary pointers for state and coef */ uint32_t numStages = S->numStages; /* number of stages */ float32_t *pState; /* State pointer */ float32_t *pStateCurnt; /* State current pointer */ float32_t k1, k2; float32_t v1, v2, v3, v4; float32_t gcurr2; float32_t fnext2; /* initialise loop count */ blkCnt = blockSize; /* initialise state pointer */ pState = &S->pState[0]; /* Sample processing */ while(blkCnt > 0u) { /* Read Sample from input buffer */ /* fN(n) = x(n) */ fnext2 = *pSrc++; /* Initialize Ladder coeff pointer */ pv = &S->pvCoeffs[0]; /* Initialize Reflection coeff pointer */ pk = &S->pkCoeffs[0]; /* Initialize state read pointer */ px1 = pState; /* Initialize state write pointer */ px2 = pState; /* Set accumulator to zero */ acc = 0.0; /* Loop unrolling. Process 4 taps at a time. */ tapCnt = (numStages) >> 2; while(tapCnt > 0u) { /* Read gN-1(n-1) from state buffer */ gcurr1 = *px1; /* read reflection coefficient kN */ k1 = *pk; /* fN-1(n) = fN(n) - kN * gN-1(n-1) */ fnext1 = fnext2 - (k1 * gcurr1); /* read ladder coefficient vN */ v1 = *pv; /* read next reflection coefficient kN-1 */ k2 = *(pk + 1u); /* Read gN-2(n-1) from state buffer */ gcurr2 = *(px1 + 1u); /* read next ladder coefficient vN-1 */ v2 = *(pv + 1u); /* fN-2(n) = fN-1(n) - kN-1 * gN-2(n-1) */ fnext2 = fnext1 - (k2 * gcurr2); /* gN(n) = kN * fN-1(n) + gN-1(n-1) */ gnext = gcurr1 + (k1 * fnext1); /* read reflection coefficient kN-2 */ k1 = *(pk + 2u); /* write gN(n) into state for next sample processing */ *px2++ = gnext; /* Read gN-3(n-1) from state buffer */ gcurr1 = *(px1 + 2u); /* y(n) += gN(n) * vN */ acc += (gnext * v1); /* fN-3(n) = fN-2(n) - kN-2 * gN-3(n-1) */ fnext1 = fnext2 - (k1 * gcurr1); /* gN-1(n) = kN-1 * fN-2(n) + gN-2(n-1) */ gnext = gcurr2 + (k2 * fnext2); /* Read gN-4(n-1) from state buffer */ gcurr2 = *(px1 + 3u); /* y(n) += gN-1(n) * vN-1 */ acc += (gnext * v2); /* read reflection coefficient kN-3 */ k2 = *(pk + 3u); /* write gN-1(n) into state for next sample processing */ *px2++ = gnext; /* fN-4(n) = fN-3(n) - kN-3 * gN-4(n-1) */ fnext2 = fnext1 - (k2 * gcurr2); /* gN-2(n) = kN-2 * fN-3(n) + gN-3(n-1) */ gnext = gcurr1 + (k1 * fnext1); /* read ladder coefficient vN-2 */ v3 = *(pv + 2u); /* y(n) += gN-2(n) * vN-2 */ acc += (gnext * v3); /* write gN-2(n) into state for next sample processing */ *px2++ = gnext; /* update pointer */ pk += 4u; /* gN-3(n) = kN-3 * fN-4(n) + gN-4(n-1) */ gnext = (fnext2 * k2) + gcurr2; /* read next ladder coefficient vN-3 */ v4 = *(pv + 3u); /* y(n) += gN-4(n) * vN-4 */ acc += (gnext * v4); /* write gN-3(n) into state for next sample processing */ *px2++ = gnext; /* update pointers */ px1 += 4u; pv += 4u; tapCnt--; } /* If the filter length is not a multiple of 4, compute the remaining filter taps */ tapCnt = (numStages) % 0x4u; while(tapCnt > 0u) { gcurr1 = *px1++; /* Process sample for last taps */ fnext1 = fnext2 - ((*pk) * gcurr1); gnext = (fnext1 * (*pk++)) + gcurr1; /* Output samples for last taps */ acc += (gnext * (*pv++)); *px2++ = gnext; fnext2 = fnext1; tapCnt--; } /* y(n) += g0(n) * v0 */ acc += (fnext2 * (*pv)); *px2++ = fnext2; /* write out into pDst */ *pDst++ = acc; /* Advance the state pointer by 4 to process the next group of 4 samples */ pState = pState + 1u; blkCnt--; } /* Processing is complete. Now copy last S->numStages samples to start of the buffer for the preperation of next frame process */ /* Points to the start of the state buffer */ pStateCurnt = &S->pState[0]; pState = &S->pState[blockSize]; tapCnt = numStages >> 2u; /* copy data */ while(tapCnt > 0u) { *pStateCurnt++ = *pState++; *pStateCurnt++ = *pState++; *pStateCurnt++ = *pState++; *pStateCurnt++ = *pState++; /* Decrement the loop counter */ tapCnt--; } /* Calculate remaining number of copies */ tapCnt = (numStages) % 0x4u; /* Copy the remaining q31_t data */ while(tapCnt > 0u) { *pStateCurnt++ = *pState++; /* Decrement the loop counter */ tapCnt--; } } #else void arm_iir_lattice_f32( const arm_iir_lattice_instance_f32 * S, float32_t * pSrc, float32_t * pDst, uint32_t blockSize) { float32_t fcurr, fnext = 0, gcurr, gnext; /* Temporary variables for lattice stages */ float32_t acc; /* Accumlator */ uint32_t blkCnt, tapCnt; /* temporary variables for counts */ float32_t *px1, *px2, *pk, *pv; /* temporary pointers for state and coef */ uint32_t numStages = S->numStages; /* number of stages */ float32_t *pState; /* State pointer */ float32_t *pStateCurnt; /* State current pointer */ /* Run the below code for Cortex-M0 */ blkCnt = blockSize; pState = &S->pState[0]; /* Sample processing */ while(blkCnt > 0u) { /* Read Sample from input buffer */ /* fN(n) = x(n) */ fcurr = *pSrc++; /* Initialize state read pointer */ px1 = pState; /* Initialize state write pointer */ px2 = pState; /* Set accumulator to zero */ acc = 0.0f; /* Initialize Ladder coeff pointer */ pv = &S->pvCoeffs[0]; /* Initialize Reflection coeff pointer */ pk = &S->pkCoeffs[0]; /* Process sample for numStages */ tapCnt = numStages; while(tapCnt > 0u) { gcurr = *px1++; /* Process sample for last taps */ fnext = fcurr - ((*pk) * gcurr); gnext = (fnext * (*pk++)) + gcurr; /* Output samples for last taps */ acc += (gnext * (*pv++)); *px2++ = gnext; fcurr = fnext; /* Decrementing loop counter */ tapCnt--; } /* y(n) += g0(n) * v0 */ acc += (fnext * (*pv)); *px2++ = fnext; /* write out into pDst */ *pDst++ = acc; /* Advance the state pointer by 1 to process the next group of samples */ pState = pState + 1u; blkCnt--; } /* Processing is complete. Now copy last S->numStages samples to start of the buffer for the preperation of next frame process */ /* Points to the start of the state buffer */ pStateCurnt = &S->pState[0]; pState = &S->pState[blockSize]; tapCnt = numStages; /* Copy the data */ while(tapCnt > 0u) { *pStateCurnt++ = *pState++; /* Decrement the loop counter */ tapCnt--; } } #endif /* #ifndef ARM_MATH_CM0_FAMILY */ /** * @} end of IIR_Lattice group */