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/*
** Copyright 2003-2010, VisualOn, Inc.
**
** Licensed under the Apache License, Version 2.0 (the "License");
** you may not use this file except in compliance with the License.
** You may obtain a copy of the License at
**
** http://www.apache.org/licenses/LICENSE-2.0
**
** Unless required by applicable law or agreed to in writing, software
** distributed under the License is distributed on an "AS IS" BASIS,
** WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
** See the License for the specific language governing permissions and
** limitations under the License.
*/
/*******************************************************************************
File: tns.c
Content: Definition TNS tools functions
*******************************************************************************/
#include "basic_op.h"
#include "oper_32b.h"
#include "assert.h"
#include "aac_rom.h"
#include "psy_const.h"
#include "tns.h"
#include "tns_param.h"
#include "psy_configuration.h"
#include "tns_func.h"
#define UNUSED(x) (void)(x)
#define TNS_MODIFY_BEGIN 2600 /* Hz */
#define RATIO_PATCH_LOWER_BORDER 380 /* Hz */
#define TNS_GAIN_THRESH 141 /* 1.41*100 */
#define NORM_COEF 0x028f5c28
static const Word32 TNS_PARCOR_THRESH = 0x0ccccccd; /* 0.1*(1 << 31) */
/* Limit bands to > 2.0 kHz */
static unsigned short tnsMinBandNumberLong[12] =
{ 11, 12, 15, 16, 17, 20, 25, 26, 24, 28, 30, 31 };
static unsigned short tnsMinBandNumberShort[12] =
{ 2, 2, 2, 3, 3, 4, 6, 6, 8, 10, 10, 12 };
/**************************************/
/* Main/Low Profile TNS Parameters */
/**************************************/
static unsigned short tnsMaxBandsLongMainLow[12] =
{ 31, 31, 34, 40, 42, 51, 46, 46, 42, 42, 42, 39 };
static unsigned short tnsMaxBandsShortMainLow[12] =
{ 9, 9, 10, 14, 14, 14, 14, 14, 14, 14, 14, 14 };
static void CalcWeightedSpectrum(const Word32 spectrum[],
Word16 weightedSpectrum[],
Word32* sfbEnergy,
const Word16* sfbOffset, Word16 lpcStartLine,
Word16 lpcStopLine, Word16 lpcStartBand,Word16 lpcStopBand,
Word32 *pWork32);
void AutoCorrelation(const Word16 input[], Word32 corr[],
Word16 samples, Word16 corrCoeff);
static Word16 AutoToParcor(Word32 workBuffer[], Word32 reflCoeff[], Word16 numOfCoeff);
static Word16 CalcTnsFilter(const Word16* signal, const Word32 window[], Word16 numOfLines,
Word16 tnsOrder, Word32 parcor[]);
static void Parcor2Index(const Word32 parcor[], Word16 index[], Word16 order,
Word16 bitsPerCoeff);
static void Index2Parcor(const Word16 index[], Word32 parcor[], Word16 order,
Word16 bitsPerCoeff);
static void AnalysisFilterLattice(const Word32 signal[], Word16 numOfLines,
const Word32 parCoeff[], Word16 order,
Word32 output[]);
/**
*
* function name: FreqToBandWithRounding
* description: Retrieve index of nearest band border
* returnt: index
*
*/
static Word16 FreqToBandWithRounding(Word32 freq, /*!< frequency in Hertz */
Word32 fs, /*!< Sampling frequency in Hertz */
Word16 numOfBands, /*!< total number of bands */
const Word16 *bandStartOffset) /*!< table of band borders */
{
Word32 lineNumber, band;
Word32 temp, shift;
/* assert(freq >= 0); */
shift = norm_l(fs);
lineNumber = (extract_l(fixmul((bandStartOffset[numOfBands] << 2),Div_32(freq << shift,fs << shift))) + 1) >> 1;
/* freq > fs/2 */
temp = lineNumber - bandStartOffset[numOfBands] ;
if (temp >= 0)
return numOfBands;
/* find band the line number lies in */
for (band=0; band<numOfBands; band++) {
temp = bandStartOffset[band + 1] - lineNumber;
if (temp > 0) break;
}
temp = (lineNumber - bandStartOffset[band]);
temp = (temp - (bandStartOffset[band + 1] - lineNumber));
if ( temp > 0 )
{
band = band + 1;
}
return extract_l(band);
}
/**
*
* function name: InitTnsConfigurationLong
* description: Fill TNS_CONFIG structure with sensible content for long blocks
* returns: 0 if success
*
*/
Word16 InitTnsConfigurationLong(Word32 bitRate, /*!< bitrate */
Word32 sampleRate, /*!< Sampling frequency */
Word16 channels, /*!< number of channels */
TNS_CONFIG *tC, /*!< TNS Config struct (modified) */
PSY_CONFIGURATION_LONG *pC, /*!< psy config struct */
Word16 active) /*!< tns active flag */
{
Word32 bitratePerChannel __unused;
tC->maxOrder = TNS_MAX_ORDER;
tC->tnsStartFreq = 1275;
tC->coefRes = 4;
/* to avoid integer division */
if ( sub(channels,2) == 0 ) {
bitratePerChannel = bitRate >> 1;
}
else {
bitratePerChannel = bitRate;
}
tC->tnsMaxSfb = tnsMaxBandsLongMainLow[pC->sampRateIdx];
tC->tnsActive = active;
/* now calc band and line borders */
tC->tnsStopBand = min(pC->sfbCnt, tC->tnsMaxSfb);
tC->tnsStopLine = pC->sfbOffset[tC->tnsStopBand];
tC->tnsStartBand = FreqToBandWithRounding(tC->tnsStartFreq, sampleRate,
pC->sfbCnt, (const Word16*)pC->sfbOffset);
tC->tnsModifyBeginCb = FreqToBandWithRounding(TNS_MODIFY_BEGIN,
sampleRate,
pC->sfbCnt,
(const Word16*)pC->sfbOffset);
tC->tnsRatioPatchLowestCb = FreqToBandWithRounding(RATIO_PATCH_LOWER_BORDER,
sampleRate,
pC->sfbCnt,
(const Word16*)pC->sfbOffset);
tC->tnsStartLine = pC->sfbOffset[tC->tnsStartBand];
tC->lpcStopBand = tnsMaxBandsLongMainLow[pC->sampRateIdx];
tC->lpcStopBand = min(tC->lpcStopBand, pC->sfbActive);
tC->lpcStopLine = pC->sfbOffset[tC->lpcStopBand];
tC->lpcStartBand = tnsMinBandNumberLong[pC->sampRateIdx];
tC->lpcStartLine = pC->sfbOffset[tC->lpcStartBand];
tC->threshold = TNS_GAIN_THRESH;
return(0);
}
/**
*
* function name: InitTnsConfigurationShort
* description: Fill TNS_CONFIG structure with sensible content for short blocks
* returns: 0 if success
*
*/
Word16 InitTnsConfigurationShort(Word32 bitRate, /*!< bitrate */
Word32 sampleRate, /*!< Sampling frequency */
Word16 channels, /*!< number of channels */
TNS_CONFIG *tC, /*!< TNS Config struct (modified) */
PSY_CONFIGURATION_SHORT *pC, /*!< psy config struct */
Word16 active) /*!< tns active flag */
{
Word32 bitratePerChannel __unused;
tC->maxOrder = TNS_MAX_ORDER_SHORT;
tC->tnsStartFreq = 2750;
tC->coefRes = 3;
/* to avoid integer division */
if ( sub(channels,2) == 0 ) {
bitratePerChannel = L_shr(bitRate,1);
}
else {
bitratePerChannel = bitRate;
}
tC->tnsMaxSfb = tnsMaxBandsShortMainLow[pC->sampRateIdx];
tC->tnsActive = active;
/* now calc band and line borders */
tC->tnsStopBand = min(pC->sfbCnt, tC->tnsMaxSfb);
tC->tnsStopLine = pC->sfbOffset[tC->tnsStopBand];
tC->tnsStartBand=FreqToBandWithRounding(tC->tnsStartFreq, sampleRate,
pC->sfbCnt, (const Word16*)pC->sfbOffset);
tC->tnsModifyBeginCb = FreqToBandWithRounding(TNS_MODIFY_BEGIN,
sampleRate,
pC->sfbCnt,
(const Word16*)pC->sfbOffset);
tC->tnsRatioPatchLowestCb = FreqToBandWithRounding(RATIO_PATCH_LOWER_BORDER,
sampleRate,
pC->sfbCnt,
(const Word16*)pC->sfbOffset);
tC->tnsStartLine = pC->sfbOffset[tC->tnsStartBand];
tC->lpcStopBand = tnsMaxBandsShortMainLow[pC->sampRateIdx];
tC->lpcStopBand = min(tC->lpcStopBand, pC->sfbActive);
tC->lpcStopLine = pC->sfbOffset[tC->lpcStopBand];
tC->lpcStartBand = tnsMinBandNumberShort[pC->sampRateIdx];
tC->lpcStartLine = pC->sfbOffset[tC->lpcStartBand];
tC->threshold = TNS_GAIN_THRESH;
return(0);
}
/**
*
* function name: TnsDetect
* description: Calculate TNS filter and decide on TNS usage
* returns: 0 if success
*
*/
Word32 TnsDetect(TNS_DATA* tnsData, /*!< tns data structure (modified) */
TNS_CONFIG tC, /*!< tns config structure */
Word32* pScratchTns, /*!< pointer to scratch space */
const Word16 sfbOffset[], /*!< scalefactor size and table */
Word32* spectrum, /*!< spectral data */
Word16 subBlockNumber, /*!< subblock num */
Word16 blockType, /*!< blocktype (long or short) */
Word32 * sfbEnergy) /*!< sfb-wise energy */
{
Word32 predictionGain;
Word32 temp;
Word32* pWork32 = &pScratchTns[subBlockNumber >> 8];
Word16* pWeightedSpectrum = (Word16 *)&pScratchTns[subBlockNumber >> 8];
if (tC.tnsActive) {
CalcWeightedSpectrum(spectrum,
pWeightedSpectrum,
sfbEnergy,
sfbOffset,
tC.lpcStartLine,
tC.lpcStopLine,
tC.lpcStartBand,
tC.lpcStopBand,
pWork32);
temp = blockType - SHORT_WINDOW;
if ( temp != 0 ) {
predictionGain = CalcTnsFilter( &pWeightedSpectrum[tC.lpcStartLine],
tC.acfWindow,
tC.lpcStopLine - tC.lpcStartLine,
tC.maxOrder,
tnsData->dataRaw.tnsLong.subBlockInfo.parcor);
temp = predictionGain - tC.threshold;
if ( temp > 0 ) {
tnsData->dataRaw.tnsLong.subBlockInfo.tnsActive = 1;
}
else {
tnsData->dataRaw.tnsLong.subBlockInfo.tnsActive = 0;
}
tnsData->dataRaw.tnsLong.subBlockInfo.predictionGain = predictionGain;
}
else{
predictionGain = CalcTnsFilter( &pWeightedSpectrum[tC.lpcStartLine],
tC.acfWindow,
tC.lpcStopLine - tC.lpcStartLine,
tC.maxOrder,
tnsData->dataRaw.tnsShort.subBlockInfo[subBlockNumber].parcor);
temp = predictionGain - tC.threshold;
if ( temp > 0 ) {
tnsData->dataRaw.tnsShort.subBlockInfo[subBlockNumber].tnsActive = 1;
}
else {
tnsData->dataRaw.tnsShort.subBlockInfo[subBlockNumber].tnsActive = 0;
}
tnsData->dataRaw.tnsShort.subBlockInfo[subBlockNumber].predictionGain = predictionGain;
}
}
else{
temp = blockType - SHORT_WINDOW;
if ( temp != 0 ) {
tnsData->dataRaw.tnsLong.subBlockInfo.tnsActive = 0;
tnsData->dataRaw.tnsLong.subBlockInfo.predictionGain = 0;
}
else {
tnsData->dataRaw.tnsShort.subBlockInfo[subBlockNumber].tnsActive = 0;
tnsData->dataRaw.tnsShort.subBlockInfo[subBlockNumber].predictionGain = 0;
}
}
return(0);
}
/*****************************************************************************
*
* function name: TnsSync
* description: update tns parameter
*
*****************************************************************************/
void TnsSync(TNS_DATA *tnsDataDest,
const TNS_DATA *tnsDataSrc,
const TNS_CONFIG tC,
const Word16 subBlockNumber,
const Word16 blockType)
{
TNS_SUBBLOCK_INFO *sbInfoDest;
const TNS_SUBBLOCK_INFO *sbInfoSrc;
Word32 i, temp;
temp = blockType - SHORT_WINDOW;
if ( temp != 0 ) {
sbInfoDest = &tnsDataDest->dataRaw.tnsLong.subBlockInfo;
sbInfoSrc = &tnsDataSrc->dataRaw.tnsLong.subBlockInfo;
}
else {
sbInfoDest = &tnsDataDest->dataRaw.tnsShort.subBlockInfo[subBlockNumber];
sbInfoSrc = &tnsDataSrc->dataRaw.tnsShort.subBlockInfo[subBlockNumber];
}
if (100*abs_s(sbInfoDest->predictionGain - sbInfoSrc->predictionGain) <
(3 * sbInfoDest->predictionGain)) {
sbInfoDest->tnsActive = sbInfoSrc->tnsActive;
for ( i=0; i< tC.maxOrder; i++) {
sbInfoDest->parcor[i] = sbInfoSrc->parcor[i];
}
}
}
/*****************************************************************************
*
* function name: TnsEncode
* description: do TNS filtering
* returns: 0 if success
*
*****************************************************************************/
Word16 TnsEncode(TNS_INFO* tnsInfo, /*!< tns info structure (modified) */
TNS_DATA* tnsData, /*!< tns data structure (modified) */
Word16 numOfSfb, /*!< number of scale factor bands */
TNS_CONFIG tC, /*!< tns config structure */
Word16 lowPassLine, /*!< lowpass line */
Word32* spectrum, /*!< spectral data (modified) */
Word16 subBlockNumber, /*!< subblock num */
Word16 blockType) /*!< blocktype (long or short) */
{
Word32 i;
Word32 temp_s;
Word32 temp;
TNS_SUBBLOCK_INFO *psubBlockInfo;
temp_s = blockType - SHORT_WINDOW;
if ( temp_s != 0) {
psubBlockInfo = &tnsData->dataRaw.tnsLong.subBlockInfo;
if (psubBlockInfo->tnsActive == 0) {
tnsInfo->tnsActive[subBlockNumber] = 0;
return(0);
}
else {
Parcor2Index(psubBlockInfo->parcor,
tnsInfo->coef,
tC.maxOrder,
tC.coefRes);
Index2Parcor(tnsInfo->coef,
psubBlockInfo->parcor,
tC.maxOrder,
tC.coefRes);
for (i=tC.maxOrder - 1; i>=0; i--) {
temp = psubBlockInfo->parcor[i] - TNS_PARCOR_THRESH;
if ( temp > 0 )
break;
temp = psubBlockInfo->parcor[i] + TNS_PARCOR_THRESH;
if ( temp < 0 )
break;
}
tnsInfo->order[subBlockNumber] = i + 1;
tnsInfo->tnsActive[subBlockNumber] = 1;
for (i=subBlockNumber+1; i<TRANS_FAC; i++) {
tnsInfo->tnsActive[i] = 0;
}
tnsInfo->coefRes[subBlockNumber] = tC.coefRes;
tnsInfo->length[subBlockNumber] = numOfSfb - tC.tnsStartBand;
AnalysisFilterLattice(&(spectrum[tC.tnsStartLine]),
(min(tC.tnsStopLine,lowPassLine) - tC.tnsStartLine),
psubBlockInfo->parcor,
tnsInfo->order[subBlockNumber],
&(spectrum[tC.tnsStartLine]));
}
} /* if (blockType!=SHORT_WINDOW) */
else /*short block*/ {
psubBlockInfo = &tnsData->dataRaw.tnsShort.subBlockInfo[subBlockNumber];
if (psubBlockInfo->tnsActive == 0) {
tnsInfo->tnsActive[subBlockNumber] = 0;
return(0);
}
else {
Parcor2Index(psubBlockInfo->parcor,
&tnsInfo->coef[subBlockNumber*TNS_MAX_ORDER_SHORT],
tC.maxOrder,
tC.coefRes);
Index2Parcor(&tnsInfo->coef[subBlockNumber*TNS_MAX_ORDER_SHORT],
psubBlockInfo->parcor,
tC.maxOrder,
tC.coefRes);
for (i=(tC.maxOrder - 1); i>=0; i--) {
temp = psubBlockInfo->parcor[i] - TNS_PARCOR_THRESH;
if ( temp > 0 )
break;
temp = psubBlockInfo->parcor[i] + TNS_PARCOR_THRESH;
if ( temp < 0 )
break;
}
tnsInfo->order[subBlockNumber] = i + 1;
tnsInfo->tnsActive[subBlockNumber] = 1;
tnsInfo->coefRes[subBlockNumber] = tC.coefRes;
tnsInfo->length[subBlockNumber] = numOfSfb - tC.tnsStartBand;
AnalysisFilterLattice(&(spectrum[tC.tnsStartLine]), (tC.tnsStopLine - tC.tnsStartLine),
psubBlockInfo->parcor,
tnsInfo->order[subBlockNumber],
&(spectrum[tC.tnsStartLine]));
}
}
return(0);
}
/*****************************************************************************
*
* function name: CalcWeightedSpectrum
* description: Calculate weighted spectrum for LPC calculation
*
*****************************************************************************/
static void CalcWeightedSpectrum(const Word32 spectrum[], /*!< input spectrum */
Word16 weightedSpectrum[],
Word32 *sfbEnergy, /*!< sfb energies */
const Word16 *sfbOffset,
Word16 lpcStartLine,
Word16 lpcStopLine,
Word16 lpcStartBand,
Word16 lpcStopBand,
Word32 *pWork32)
{
#define INT_BITS_SCAL 1<<(INT_BITS/2)
Word32 i, sfb, shift;
Word32 maxShift;
Word32 tmp_s, tmp2_s;
Word32 tmp, tmp2;
Word32 maxWS;
Word32 tnsSfbMean[MAX_SFB]; /* length [lpcStopBand-lpcStartBand] should be sufficient here */
maxWS = 0;
/* calc 1.0*2^-INT_BITS/2/sqrt(en) */
for( sfb = lpcStartBand; sfb < lpcStopBand; sfb++) {
tmp2 = sfbEnergy[sfb] - 2;
if( tmp2 > 0) {
tmp = rsqrt(sfbEnergy[sfb], INT_BITS);
if(tmp > INT_BITS_SCAL)
{
shift = norm_l(tmp);
tmp = Div_32( INT_BITS_SCAL << shift, tmp << shift );
}
else
{
tmp = 0x7fffffff;
}
}
else {
tmp = 0x7fffffff;
}
tnsSfbMean[sfb] = tmp;
}
/* spread normalized values from sfbs to lines */
sfb = lpcStartBand;
tmp = tnsSfbMean[sfb];
for ( i=lpcStartLine; i<lpcStopLine; i++){
tmp_s = sfbOffset[sfb + 1] - i;
if ( tmp_s == 0 ) {
sfb = sfb + 1;
tmp2_s = sfb + 1 - lpcStopBand;
if (tmp2_s <= 0) {
tmp = tnsSfbMean[sfb];
}
}
pWork32[i] = tmp;
}
/*filter down*/
for (i=(lpcStopLine - 2); i>=lpcStartLine; i--){
pWork32[i] = (pWork32[i] + pWork32[i + 1]) >> 1;
}
/* filter up */
for (i=(lpcStartLine + 1); i<lpcStopLine; i++){
pWork32[i] = (pWork32[i] + pWork32[i - 1]) >> 1;
}
/* weight and normalize */
for (i=lpcStartLine; i<lpcStopLine; i++){
pWork32[i] = MULHIGH(pWork32[i], spectrum[i]);
maxWS |= L_abs(pWork32[i]);
}
maxShift = norm_l(maxWS);
maxShift = 16 - maxShift;
if(maxShift >= 0)
{
for (i=lpcStartLine; i<lpcStopLine; i++){
weightedSpectrum[i] = pWork32[i] >> maxShift;
}
}
else
{
maxShift = -maxShift;
for (i=lpcStartLine; i<lpcStopLine; i++){
weightedSpectrum[i] = saturate(pWork32[i] << maxShift);
}
}
}
/*****************************************************************************
*
* function name: CalcTnsFilter
* description: LPC calculation for one TNS filter
* returns: prediction gain
* input: signal spectrum, acf window, no. of spectral lines,
* max. TNS order, ptr. to reflection ocefficients
* output: reflection coefficients
*(half) window size must be larger than tnsOrder !!*
******************************************************************************/
static Word16 CalcTnsFilter(const Word16 *signal,
const Word32 window[],
Word16 numOfLines,
Word16 tnsOrder,
Word32 parcor[])
{
Word32 parcorWorkBuffer[2*TNS_MAX_ORDER+1];
Word32 predictionGain;
Word32 i;
Word32 tnsOrderPlus1 = tnsOrder + 1;
UNUSED(window);
assert(tnsOrder <= TNS_MAX_ORDER); /* remove asserts later? (btg) */
for(i=0;i<tnsOrder;i++) {
parcor[i] = 0;
}
AutoCorrelation(signal, parcorWorkBuffer, numOfLines, tnsOrderPlus1);
/* early return if signal is very low: signal prediction off, with zero parcor coeffs */
if (parcorWorkBuffer[0] == 0)
return 0;
predictionGain = AutoToParcor(parcorWorkBuffer, parcor, tnsOrder);
return(predictionGain);
}
/*****************************************************************************
*
* function name: AutoCorrelation
* description: calc. autocorrelation (acf)
* returns: -
* input: input values, no. of input values, no. of acf values
* output: acf values
*
*****************************************************************************/
#ifndef ARMV5E
void AutoCorrelation(const Word16 input[],
Word32 corr[],
Word16 samples,
Word16 corrCoeff) {
Word32 i, j, isamples;
Word32 accu;
Word32 scf;
scf = 10 - 1;
isamples = samples;
/* calc first corrCoef: R[0] = sum { t[i] * t[i] } ; i = 0..N-1 */
accu = 0;
for(j=0; j<isamples; j++) {
accu = L_add(accu, ((input[j] * input[j]) >> scf));
}
corr[0] = accu;
/* early termination if all corr coeffs are likely going to be zero */
if(corr[0] == 0) return ;
/* calc all other corrCoef: R[j] = sum { t[i] * t[i+j] } ; i = 0..(N-j-1), j=1..p */
for(i=1; i<corrCoeff; i++) {
isamples = isamples - 1;
accu = 0;
for(j=0; j<isamples; j++) {
accu = L_add(accu, ((input[j] * input[j+i]) >> scf));
}
corr[i] = accu;
}
}
#endif
/*****************************************************************************
*
* function name: AutoToParcor
* description: conversion autocorrelation to reflection coefficients
* returns: prediction gain
* input: <order+1> input values, no. of output values (=order),
* ptr. to workbuffer (required size: 2*order)
* output: <order> reflection coefficients
*
*****************************************************************************/
static Word16 AutoToParcor(Word32 workBuffer[], Word32 reflCoeff[], Word16 numOfCoeff) {
Word32 i, j, shift;
Word32 *pWorkBuffer; /* temp pointer */
Word32 predictionGain = 0;
Word32 num, denom;
Word32 temp, workBuffer0;
num = workBuffer[0];
temp = workBuffer[numOfCoeff];
for(i=0; i<numOfCoeff-1; i++) {
workBuffer[i + numOfCoeff] = workBuffer[i + 1];
}
workBuffer[i + numOfCoeff] = temp;
for(i=0; i<numOfCoeff; i++) {
Word32 refc;
if (workBuffer[0] < L_abs(workBuffer[i + numOfCoeff])) {
return 0 ;
}
shift = norm_l(workBuffer[0]);
workBuffer0 = Div_32(1 << shift, workBuffer[0] << shift);
/* calculate refc = -workBuffer[numOfCoeff+i] / workBuffer[0]; -1 <= refc < 1 */
refc = L_negate(fixmul(workBuffer[numOfCoeff + i], workBuffer0));
reflCoeff[i] = refc;
pWorkBuffer = &(workBuffer[numOfCoeff]);
for(j=i; j<numOfCoeff; j++) {
Word32 accu1, accu2;
accu1 = L_add(pWorkBuffer[j], fixmul(refc, workBuffer[j - i]));
accu2 = L_add(workBuffer[j - i], fixmul(refc, pWorkBuffer[j]));
pWorkBuffer[j] = accu1;
workBuffer[j - i] = accu2;
}
}
denom = MULHIGH(workBuffer[0], NORM_COEF);
if (denom != 0) {
Word32 temp;
shift = norm_l(denom);
temp = Div_32(1 << shift, denom << shift);
predictionGain = fixmul(num, temp);
}
return extract_l(predictionGain);
}
static Word16 Search3(Word32 parcor)
{
Word32 index = 0;
Word32 i;
Word32 temp;
for (i=0;i<8;i++) {
temp = L_sub( parcor, tnsCoeff3Borders[i]);
if (temp > 0)
index=i;
}
return extract_l(index - 4);
}
static Word16 Search4(Word32 parcor)
{
Word32 index = 0;
Word32 i;
Word32 temp;
for (i=0;i<16;i++) {
temp = L_sub(parcor, tnsCoeff4Borders[i]);
if (temp > 0)
index=i;
}
return extract_l(index - 8);
}
/*****************************************************************************
*
* functionname: Parcor2Index
* description: quantization index for reflection coefficients
*
*****************************************************************************/
static void Parcor2Index(const Word32 parcor[], /*!< parcor coefficients */
Word16 index[], /*!< quantized coeff indices */
Word16 order, /*!< filter order */
Word16 bitsPerCoeff) { /*!< quantizer resolution */
Word32 i;
Word32 temp;
for(i=0; i<order; i++) {
temp = bitsPerCoeff - 3;
if (temp == 0) {
index[i] = Search3(parcor[i]);
}
else {
index[i] = Search4(parcor[i]);
}
}
}
/*****************************************************************************
*
* functionname: Index2Parcor
* description: Inverse quantization for reflection coefficients
*
*****************************************************************************/
static void Index2Parcor(const Word16 index[], /*!< quantized values */
Word32 parcor[], /*!< ptr. to reflection coefficients (output) */
Word16 order, /*!< no. of coefficients */
Word16 bitsPerCoeff) /*!< quantizer resolution */
{
Word32 i;
Word32 temp;
for (i=0; i<order; i++) {
temp = bitsPerCoeff - 4;
if ( temp == 0 ) {
parcor[i] = tnsCoeff4[index[i] + 8];
}
else {
parcor[i] = tnsCoeff3[index[i] + 4];
}
}
}
/*****************************************************************************
*
* functionname: FIRLattice
* description: in place lattice filtering of spectral data
* returns: pointer to modified data
*
*****************************************************************************/
static Word32 FIRLattice(Word16 order, /*!< filter order */
Word32 x, /*!< spectral data */
Word32 *state_par, /*!< filter states */
const Word32 *coef_par) /*!< filter coefficients */
{
Word32 i;
Word32 accu,tmp,tmpSave;
x = x >> 1;
tmpSave = x;
for (i=0; i<(order - 1); i++) {
tmp = L_add(fixmul(coef_par[i], x), state_par[i]);
x = L_add(fixmul(coef_par[i], state_par[i]), x);
state_par[i] = tmpSave;
tmpSave = tmp;
}
/* last stage: only need half operations */
accu = fixmul(state_par[order - 1], coef_par[(order - 1)]);
state_par[(order - 1)] = tmpSave;
x = L_add(accu, x);
x = L_add(x, x);
return x;
}
/*****************************************************************************
*
* functionname: AnalysisFilterLattice
* description: filters spectral lines with TNS filter
*
*****************************************************************************/
static void AnalysisFilterLattice(const Word32 signal[], /*!< input spectrum */
Word16 numOfLines, /*!< no. of lines */
const Word32 parCoeff[],/*!< PARC coefficients */
Word16 order, /*!< filter order */
Word32 output[]) /*!< filtered signal values */
{
Word32 state_par[TNS_MAX_ORDER];
Word32 j;
for ( j=0; j<TNS_MAX_ORDER; j++ ) {
state_par[j] = 0;
}
for(j=0; j<numOfLines; j++) {
output[j] = FIRLattice(order,signal[j],state_par,parCoeff);
}
}
/*****************************************************************************
*
* functionname: ApplyTnsMultTableToRatios
* description: Change thresholds according to tns
*
*****************************************************************************/
void ApplyTnsMultTableToRatios(Word16 startCb,
Word16 stopCb,
TNS_SUBBLOCK_INFO subInfo, /*!< TNS subblock info */
Word32 *thresholds) /*!< thresholds (modified) */
{
Word32 i;
if (subInfo.tnsActive) {
for(i=startCb; i<stopCb; i++) {
/* thresholds[i] * 0.25 */
thresholds[i] = (thresholds[i] >> 2);
}
}
}