demboyz/external/SILK_SDK_SRC_FLP_v1.0.9/src/SKP_Silk_NLSF_MSVQ_encode_F...

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/***********************************************************************
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***********************************************************************/
#include "SKP_Silk_main_FLP.h"
/***********************/
/* NLSF vector encoder */
/***********************/
void SKP_Silk_NLSF_MSVQ_encode_FLP(
SKP_int *NLSFIndices, /* O Codebook path vector [ CB_STAGES ] */
SKP_float *pNLSF, /* I/O Quantized NLSF vector [ LPC_ORDER ] */
const SKP_Silk_NLSF_CB_FLP *psNLSF_CB_FLP, /* I Codebook object */
const SKP_float *pNLSF_q_prev, /* I Prev. quantized NLSF vector [LPC_ORDER] */
const SKP_float *pW, /* I NLSF weight vector [ LPC_ORDER ] */
const SKP_float NLSF_mu, /* I Rate weight for the RD optimization */
const SKP_float NLSF_mu_fluc_red, /* I Fluctuation reduction error weight */
const SKP_int NLSF_MSVQ_Survivors,/* I Max survivors from each stage */
const SKP_int LPC_order, /* I LPC order */
const SKP_int deactivate_fluc_red /* I Deactivate fluctuation reduction */
)
{
SKP_int i, s, k, cur_survivors, prev_survivors, min_survivors, input_index, cb_index, bestIndex;
SKP_float se, wsse, rateDistThreshold, bestRateDist;
#if( LOW_COMPLEXITY_ONLY == 1 )
SKP_float pRateDist[ NLSF_MSVQ_TREE_SEARCH_MAX_VECTORS_EVALUATED_LC_MODE ];
SKP_float pRate[ MAX_NLSF_MSVQ_SURVIVORS_LC_MODE ];
SKP_float pRate_new[ MAX_NLSF_MSVQ_SURVIVORS_LC_MODE ];
SKP_int pTempIndices[ MAX_NLSF_MSVQ_SURVIVORS_LC_MODE ];
SKP_int pPath[ MAX_NLSF_MSVQ_SURVIVORS_LC_MODE * NLSF_MSVQ_MAX_CB_STAGES ];
SKP_int pPath_new[ MAX_NLSF_MSVQ_SURVIVORS_LC_MODE * NLSF_MSVQ_MAX_CB_STAGES ];
SKP_float pRes[ MAX_NLSF_MSVQ_SURVIVORS_LC_MODE * MAX_LPC_ORDER ];
SKP_float pRes_new[ MAX_NLSF_MSVQ_SURVIVORS_LC_MODE * MAX_LPC_ORDER ];
#else
SKP_float pRateDist[ NLSF_MSVQ_TREE_SEARCH_MAX_VECTORS_EVALUATED ];
SKP_float pRate[ MAX_NLSF_MSVQ_SURVIVORS ];
SKP_float pRate_new[ MAX_NLSF_MSVQ_SURVIVORS ];
SKP_int pTempIndices[ MAX_NLSF_MSVQ_SURVIVORS ];
SKP_int pPath[ MAX_NLSF_MSVQ_SURVIVORS * NLSF_MSVQ_MAX_CB_STAGES ];
SKP_int pPath_new[ MAX_NLSF_MSVQ_SURVIVORS * NLSF_MSVQ_MAX_CB_STAGES ];
SKP_float pRes[ MAX_NLSF_MSVQ_SURVIVORS * MAX_LPC_ORDER ];
SKP_float pRes_new[ MAX_NLSF_MSVQ_SURVIVORS * MAX_LPC_ORDER ];
#endif
const SKP_float *pConstFloat;
SKP_float *pFloat;
const SKP_int *pConstInt;
SKP_int *pInt;
const SKP_float *pCB_element;
const SKP_Silk_NLSF_CBS_FLP *pCurrentCBStage;
#ifdef USE_UNQUANTIZED_LSFS
SKP_float NLSF_orig[ MAX_LPC_ORDER ];
SKP_memcpy( NLSF_orig, pNLSF, LPC_order * sizeof( SKP_float ) );
#endif
SKP_assert( NLSF_MSVQ_Survivors <= MAX_NLSF_MSVQ_SURVIVORS );
SKP_assert( ( LOW_COMPLEXITY_ONLY == 0 ) || ( NLSF_MSVQ_Survivors <= MAX_NLSF_MSVQ_SURVIVORS_LC_MODE ) );
cur_survivors = NLSF_MSVQ_Survivors;
/****************************************************/
/* Tree search for the multi-stage vector quantizer */
/****************************************************/
/* Clear accumulated rates */
SKP_memset( pRate, 0, NLSF_MSVQ_Survivors * sizeof( SKP_float ) );
/* Copy NLSFs into residual signal vector */
SKP_memcpy( pRes, pNLSF, LPC_order * sizeof( SKP_float ) );
/* Set first stage values */
prev_survivors = 1;
/* Minimum number of survivors */
min_survivors = NLSF_MSVQ_Survivors / 2;
/* Loop over all stages */
for( s = 0; s < psNLSF_CB_FLP->nStages; s++ ) {
/* Set a pointer to the current stage codebook */
pCurrentCBStage = &psNLSF_CB_FLP->CBStages[ s ];
/* Calculate the number of survivors in the current stage */
cur_survivors = SKP_min_32( NLSF_MSVQ_Survivors, prev_survivors * pCurrentCBStage->nVectors );
#if( NLSF_MSVQ_FLUCTUATION_REDUCTION == 0 )
/* Find a single best survivor in the last stage, if we */
/* do not need candidates for fluctuation reduction */
if( s == psNLSF_CB_FLP->nStages - 1 ) {
cur_survivors = 1;
}
#endif
/* Nearest neighbor clustering for multiple input data vectors */
SKP_Silk_NLSF_VQ_rate_distortion_FLP( pRateDist, pCurrentCBStage, pRes, pW, pRate, NLSF_mu, prev_survivors, LPC_order );
/* Sort the rate-distortion errors */
SKP_Silk_insertion_sort_increasing_FLP( pRateDist, pTempIndices, prev_survivors * pCurrentCBStage->nVectors, cur_survivors );
/* Discard survivors with rate-distortion values too far above the best one */
rateDistThreshold = ( 1.0f + NLSF_MSVQ_Survivors * NLSF_MSVQ_SURV_MAX_REL_RD ) * pRateDist[ 0 ];
while( pRateDist[ cur_survivors - 1 ] > rateDistThreshold && cur_survivors > min_survivors ) {
cur_survivors--;
}
/* Update accumulated codebook contributions for the 'cur_survivors' best codebook indices */
for( k = 0; k < cur_survivors; k++ ) {
if( s > 0 ) {
/* Find the indices of the input and the codebook vector */
if( pCurrentCBStage->nVectors == 8 ) {
input_index = SKP_RSHIFT( pTempIndices[ k ], 3 );
cb_index = pTempIndices[ k ] & 7;
} else {
input_index = pTempIndices[ k ] / pCurrentCBStage->nVectors;
cb_index = pTempIndices[ k ] - input_index * pCurrentCBStage->nVectors;
}
} else {
/* Find the indices of the input and the codebook vector */
input_index = 0;
cb_index = pTempIndices[ k ];
}
/* Subtract new contribution from the previous residual vector for each of 'cur_survivors' */
pConstFloat = &pRes[ input_index * LPC_order ];
pCB_element = &pCurrentCBStage->CB[ cb_index * LPC_order ];
pFloat = &pRes_new[ k * LPC_order ];
for( i = 0; i < LPC_order; i++ ) {
pFloat[ i ] = pConstFloat[ i ] - pCB_element[ i ];
}
/* Update accumulated rate for stage 1 to the current */
pRate_new[ k ] = pRate[ input_index ] + pCurrentCBStage->Rates[ cb_index ];
/* Copy paths from previous matrix, starting with the best path */
pConstInt = &pPath[ input_index * psNLSF_CB_FLP->nStages ];
pInt = &pPath_new[ k * psNLSF_CB_FLP->nStages ];
for( i = 0; i < s; i++ ) {
pInt[ i ] = pConstInt[ i ];
}
/* Write the current stage indices for the 'cur_survivors' to the best path matrix */
pInt[ s ] = cb_index;
}
if( s < psNLSF_CB_FLP->nStages - 1 ) {
/* Copy NLSF residual matrix for next stage */
SKP_memcpy(pRes, pRes_new, cur_survivors * LPC_order * sizeof( SKP_float ) );
/* Copy rate vector for next stage */
SKP_memcpy(pRate, pRate_new, cur_survivors * sizeof( SKP_float ) );
/* Copy best path matrix for next stage */
SKP_memcpy(pPath, pPath_new, cur_survivors * psNLSF_CB_FLP->nStages * sizeof( SKP_int ) );
}
prev_survivors = cur_survivors;
}
/* (Preliminary) index of the best survivor, later to be decoded */
bestIndex = 0;
#if( NLSF_MSVQ_FLUCTUATION_REDUCTION == 1 )
/******************************/
/* NLSF fluctuation reduction */
/******************************/
if( deactivate_fluc_red != 1 ) {
/* Search among all survivors, now taking also weighted fluctuation errors into account */
bestRateDist = SKP_float_MAX;
for( s = 0; s < cur_survivors; s++ ) {
/* Decode survivor to compare with previous quantized NLSF vector */
SKP_Silk_NLSF_MSVQ_decode_FLP( pNLSF, psNLSF_CB_FLP, &pPath_new[ s * psNLSF_CB_FLP->nStages ], LPC_order );
/* Compare decoded NLSF vector with the previously quantized vector */
wsse = 0;
for( i = 0; i < LPC_order; i += 2 ) {
/* Compute weighted squared quantization error for index i */
se = pNLSF[ i ] - pNLSF_q_prev[ i ];
wsse += pW[ i ] * se * se;
/* Compute weighted squared quantization error for index i + 1 */
se = pNLSF[ i + 1 ] - pNLSF_q_prev[ i + 1 ];
wsse += pW[ i + 1 ] * se * se;
}
/* Add the fluctuation reduction penalty to the rate distortion error */
wsse = pRateDist[s] + wsse * NLSF_mu_fluc_red;
/* Keep index of best survivor */
if( wsse < bestRateDist ) {
bestRateDist = wsse;
bestIndex = s;
}
}
}
#endif
/* Copy best path to output argument */
SKP_memcpy( NLSFIndices, &pPath_new[ bestIndex * psNLSF_CB_FLP->nStages ], psNLSF_CB_FLP->nStages * sizeof( SKP_int ) );
/* Decode and stabilize the best survivor */
SKP_Silk_NLSF_MSVQ_decode_FLP( pNLSF, psNLSF_CB_FLP, NLSFIndices, LPC_order );
#ifdef USE_UNQUANTIZED_LSFS
SKP_memcpy( pNLSF, NLSF_orig, LPC_order * sizeof( SKP_float ) );
#endif
}