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musepack/libmpcpsy/psy.c

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/*
* Musepack audio compression
* Copyright (c) 2005-2009, The Musepack Development Team
* Copyright (C) 1999-2004 Buschmann/Klemm/Piecha/Wolf
*
* This library is free software; you can redistribute it and/or
* modify it under the terms of the GNU Lesser General Public
* License as published by the Free Software Foundation; either
* version 2.1 of the License, or (at your option) any later version.
*
* This library is distributed in the hope that it will be useful,
* but WITHOUT ANY WARRANTY; without even the implied warranty of
* MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU
* Lesser General Public License for more details.
*
* You should have received a copy of the GNU Lesser General Public
* License along with this library; if not, write to the Free Software
* Foundation, Inc., 59 Temple Place, Suite 330, Boston, MA 02111-1307 USA
*/
/*
* Prediction
* Short-Block-detection with smooth inset
* revise CalcMSThreshold
* /dev/audio for Windows too
* revise PNS/IS
* CVS with smoother inset
* several files per call
* revise ANS with changing SCFs
* No IS
* PNS estimation very rough, also IS should be used to reduce data rate in the side channel
* ANS problems at Frame boundaries when resolution changes
* ANS problems at Subframe boundaries when SCF changes
* CVS+ with smoother transition
----------------------------------------
Optimize Tabelle[18] (use second table)
CVS+
- ANS is disregarded during the search for the best Res
- ANS messes up if res changes (each 36 samples) and/or SCF changes (each 12 samples)
- PNS not in difference signal
- implement IS in decoder
- Experimental Quantizer with complete energy preservation
- 1D, calculated
- 2D, calculated
- 2D, manually modified, coeffs set to 1.f
*/
#include <string.h>
#include <stdio.h>
#include "libmpcpsy.h"
#include <mpc/datatypes.h>
#include <mpc/minimax.h>
#include <mpc/mpcmath.h>
// psy_tab.c
extern const float iw [PART_LONG]; // inverse partition-width for long
extern const float iw_short [PART_SHORT]; // inverse partition-width for short
extern const int wl [PART_LONG]; // w_low for long
extern const int wl_short [PART_SHORT]; // w_low for short
extern const int wh [PART_LONG]; // w_high for long
extern const int wh_short [PART_SHORT]; // w_high for short
extern float MinVal [PART_LONG]; // minimum quality that's adapted to the model, minval for long
extern float Loudness [PART_LONG]; // weighting factors for loudness calculation
extern float SPRD [PART_LONG] [PART_LONG]; // tabulated spreading function
extern float O_MAX;
extern float O_MIN;
extern float FAC1;
extern float FAC2; // constants for offset calculation
extern float partLtq [PART_LONG]; // threshold in quiet (partitions)
extern float invLtq [PART_LONG]; // inverse threshold in quiet (partitions, long)
extern float fftLtq [512]; // threshold in quiet (FFT)
// ans.c
extern float ANSspec_L [MAX_ANS_LINES];
extern float ANSspec_R [MAX_ANS_LINES]; // L/R-masking threshold for ANS
extern float ANSspec_M [MAX_ANS_LINES];
extern float ANSspec_S [MAX_ANS_LINES]; // M/S-masking threshold for ANS
void Init_Psychoakustiktabellen ( PsyModel* );
int CVD2048 ( PsyModel*, const float*, int* );
// Antialiasing for calculation of the subband power
const float Butfly [7] = { 0.5f, 0.2776f, 0.1176f, 0.0361f, 0.0075f, 0.000948f, 0.0000598f };
// Antialiasing for calculation of the masking thresholds
const float InvButfly [7] = { 2.f, 3.6023f, 8.5034f, 27.701f, 133.33f, 1054.852f, 16722.408f };
/* V A R I A B L E S */
static float a [PART_LONG];
static float b [PART_LONG];
static float c [PART_LONG];
static float d [PART_LONG]; // Integrations for tmpMask
static float Xsave_L [3 * 512];
static float Xsave_R [3 * 512]; // FFT-Amplitudes L/R
static float Ysave_L [3 * 512];
static float Ysave_R [3 * 512]; // FFT-Phases L/R
static float T_L [PART_LONG];
static float T_R [PART_LONG]; // time-constants for tmpMask
static float pre_erg_L[2][PART_SHORT];
static float pre_erg_R[2][PART_SHORT]; // Preecho-control short
static float PreThr_L [PART_LONG];
static float PreThr_R [PART_LONG]; // for Pre-Echo-control L/R
static float tmp_Mask_L [PART_LONG];
static float tmp_Mask_R [PART_LONG]; // for Post-Masking L/R
static int Vocal_L [MAX_CVD_LINE + 4];
static int Vocal_R [MAX_CVD_LINE + 4]; // FFT-Line belongs to harmonic?
/* F U N C T I O N S */
// fft_routines.c
void Init_FFT ( PsyModel* );
void PowSpec256 ( const float*, float* );
void PowSpec1024 ( const float*, float* );
void PowSpec2048 ( const float*, float* );
void PolarSpec1024 ( const float*, float*, float* );
void Cepstrum2048 ( float* cep, const int );
void Init_ANS ( void );
// Resets Arrays
void Init_Psychoakustik ( PsyModel* m)
{
int i;
// initializing arrays with zero
memset ( Xsave_L, 0, sizeof Xsave_L );
memset ( Xsave_R, 0, sizeof Xsave_R );
memset ( Ysave_L, 0, sizeof Ysave_L );
memset ( Ysave_R, 0, sizeof Ysave_R );
memset ( a, 0, sizeof a );
memset ( b, 0, sizeof b );
memset ( c, 0, sizeof c );
memset ( d, 0, sizeof d );
memset ( T_L, 0, sizeof T_L );
memset ( T_R, 0, sizeof T_R );
memset ( Vocal_L, 0, sizeof Vocal_L );
memset ( Vocal_R, 0, sizeof Vocal_R );
m->SampleFreq = 0.;
m->BandWidth = 0.;
m->KBD1 = 2.;
m->KBD2 = -1.;
m->Ltq_offset = 0;
m->Ltq_max = 0;
m->EarModelFlag = 0;
m->PNS = 0.;
m->CombPenalities = -1;
// generate FFT lookup-tables with largest FFT-size of 1024
Init_FFT (m);
Init_ANS ();
Init_Psychoakustiktabellen (m);
// setting pre-echo variables to Ltq
for ( i = 0; i < PART_LONG; i++ ) {
pre_erg_L [0][i/3] = pre_erg_R [0][i/3] =
pre_erg_L [1][i/3] = pre_erg_R [1][i/3] =
tmp_Mask_L [i] = tmp_Mask_R [i] =
PreThr_L [i] = PreThr_R [i] = partLtq [i];
}
return;
}
// VBRmode 1: Adjustment of all SMRs via a factor (offset of SMRoffset dB)
// VBRmode 2: SMRs have a minimum of minSMR dB
static void
RaiseSMR_Signal ( const int MaxBand, float* signal, float tmp )
{
int Band;
float z = 0.;
for ( Band = MaxBand; Band >= 0; Band-- ) {
if ( z < signal [Band] ) z = signal [Band];
if ( z > tmp ) z = tmp;
if ( signal [Band] < z ) signal [Band] = z;
}
}
void RaiseSMR (PsyModel* m, const int MaxBand, SMRTyp* smr )
{
float tmp = POW10 ( 0.1 * m->minSMR );
RaiseSMR_Signal ( MaxBand, smr->L, tmp );
RaiseSMR_Signal ( MaxBand, smr->R, tmp );
RaiseSMR_Signal ( MaxBand, smr->M, tmp );
RaiseSMR_Signal ( MaxBand, smr->S, 0.5 * tmp );
return;
}
// input : *smr
// output: *smr, *ms, *x (only the entries for L/R contain relevant data)
// Check if either M/S- or L/R-coding has a lower perceptual entropy
// Choose the better mode, copy the appropriate data into the
// arrays that belong to L and R and set the ms-Flag accordingly.
void
MS_LR_Entscheidung ( const int MaxBand, unsigned char* ms, SMRTyp* smr, SubbandFloatTyp* x )
{
int Band;
int n;
float PE_MS;
float PE_LR;
float tmpM;
float tmpS;
float* l;
float* r;
for ( Band = 0; Band <= MaxBand; Band++ ) { // calculate perceptual entropy
PE_LR = PE_MS = 1.f;
if (smr->L[Band] > 1.) PE_LR *= smr->L[Band];
if (smr->R[Band] > 1.) PE_LR *= smr->R[Band];
if (smr->M[Band] > 1.) PE_MS *= smr->M[Band];
if (smr->S[Band] > 1.) PE_MS *= smr->S[Band];
if ( PE_MS < PE_LR ) {
ms[Band] = 1;
// calculate M/S-signal and copies it to L/R-array
l = x[Band].L;
r = x[Band].R;
for ( n = 0; n < 36; n++, l++, r++ ) {
tmpM = (*l + *r) * 0.5f;
tmpS = (*l - *r) * 0.5f;
*l = tmpM;
*r = tmpS;
}
// copy M/S - SMR to L/R-fields
smr->L[Band] = smr->M[Band];
smr->R[Band] = smr->S[Band];
}
else {
ms[Band] = 0;
}
}
return;
}
// input : FFT-spectrums *spec0 und *spec1
// output: energy in the individual subbands *erg0 and *erg1
// With Butfly[], you can calculate the results of aliasing during calculation
// of subband energy from the FFT-spectrums.
static void
SubbandEnergy ( const int MaxBand,
float* erg0,
float* erg1,
const float* spec0,
const float* spec1 )
{
int n;
int k;
int alias;
float tmp0;
float tmp1;
// Is this here correct for FFT-based data or is this calculation rule only for MDCTs???
for ( k = 0; k <= MaxBand; k++ ) { // subband index
tmp0 = tmp1 = 0.f;
for ( n = 0; n < 16; n++, spec0++, spec1++ ) { // spectral index
tmp0 += *spec0;
tmp1 += *spec1;
// Consideration of Aliasing between the subbands
if ( n < +sizeof(Butfly)/sizeof(*Butfly) && k != 0 ) {
alias = -1 - (n<<1);
tmp0 += Butfly [n] * (spec0[alias] - *spec0);
tmp1 += Butfly [n] * (spec1[alias] - *spec1);
}
else if ( n > 15-sizeof(Butfly)/sizeof(*Butfly) && k != 31 ) {
alias = 31 - (n<<1);
tmp0 += Butfly [15-n] * (spec0[alias] - *spec0);
tmp1 += Butfly [15-n] * (spec1[alias] - *spec1);
}
}
*erg0++ = tmp0;
*erg1++ = tmp1;
}
return;
}
// input : FFT-Spectrums *spec0 and *spec1
// output: energy in the individual partitions *erg0 and *erg1
static void
PartitionEnergy ( float* erg0,
float* erg1,
const float* spec0,
const float* spec1 )
{
unsigned int n;
unsigned int k;
float e0;
float e1;
n = 0;
for ( ; n < 23; n++ ) { // 11 or 23
k = wh[n] - wl[n];
e0 = *spec0++;
e1 = *spec1++;
while ( k-- ) {
e0 += *spec0++;
e1 += *spec1++;
}
*erg0++ = e0;
*erg1++ = e1;
}
for ( ; n < 48; n++ ) { // 37 ... 46, 48, 57
k = wh[n] - wl[n];
e0 = sqrt (*spec0++);
e1 = sqrt (*spec1++);
while ( k-- ) {
e0 += sqrt (*spec0++);
e1 += sqrt (*spec1++);
}
*erg0++ = e0*e0 * iw[n];
*erg1++ = e1*e1 * iw[n];
}
for ( ; n < PART_LONG; n++ ) {
k = wh[n] - wl[n];
e0 = *spec0++;
e1 = *spec1++;
while ( k-- ) {
e0 += *spec0++;
e1 += *spec1++;
}
*erg0++ = e0;
*erg1++ = e1;
}
}
// input : FFT-Spectrums *spec0, *spec1 and unpredictability *cw0 and *cw1
// output: weighted energy in the individual partitions *erg0, *erg1
static void
WeightedPartitionEnergy ( float* erg0,
float* erg1,
const float* spec0,
const float* spec1,
const float* cw0,
const float* cw1 )
{
unsigned int n;
unsigned int k;
float e0;
float e1;
n = 0;
for ( ; n < 23; n++ ) {
e0 = *spec0++ * *cw0++;
e1 = *spec1++ * *cw1++;
k = wh[n] - wl[n];
while ( k-- ) {
e0 += *spec0++ * *cw0++;
e1 += *spec1++ * *cw1++;
}
*erg0++ = e0;
*erg1++ = e1;
}
for ( ; n < 48; n++ ) {
e0 = sqrt (*spec0++ * *cw0++);
e1 = sqrt (*spec1++ * *cw1++);
k = wh[n] - wl[n];
while ( k-- ) {
e0 += sqrt (*spec0++ * *cw0++);
e1 += sqrt (*spec1++ * *cw1++);
}
*erg0++ = e0*e0 * iw[n];
*erg1++ = e1*e1 * iw[n];
}
for ( ; n < PART_LONG; n++ ) {
e0 = *spec0++ * *cw0++;
e1 = *spec1++ * *cw1++;
k = wh[n] - wl[n];
while ( k-- ) {
e0 += *spec0++ * *cw0++;
e1 += *spec1++ * *cw1++;
}
*erg0++ = e0;
*erg1++ = e1;
}
}
// input : masking thresholds, first half of the arrays *shaped0 and *shaped1
// output: masking thresholds, second half of the arrays *shaped0 and *shaped1
// Considering the result of aliasing via InvButfly[]
// The input *thr0, *thr1 is gathered via address calculation from *shaped0, *shaped1
static void
AdaptThresholds ( const int MaxLine, float* shaped0, float* shaped1 )
{
int n;
int mod;
int alias;
float tmp;
const float* invb = InvButfly;
const float* thr0 = shaped0 - 512;
const float* thr1 = shaped1 - 512;
float tmp0;
float tmp1;
// should be able to optimize it with coasting. [ 9 ] + n * [ 7 + 7 + 2 ] + [ 7 ]
// Schleife Schl Schl Ausr Schleife
for ( n = 0; n < MaxLine; n++, thr0++, thr1++ ) {
mod = n & 15; // n%16
tmp0 = *thr0;
tmp1 = *thr1;
if ( mod < +sizeof(InvButfly)/sizeof(*InvButfly) && n > 12 ) {
alias = -1 - (mod<<1);
tmp = thr0[alias] * invb[mod];
if ( tmp < tmp0 ) tmp0 = tmp;
tmp = thr1[alias] * invb[mod];
if ( tmp < tmp1 ) tmp1 = tmp;
}
else if ( mod > 15-sizeof(InvButfly)/sizeof(*InvButfly) && n < 499 ) {
alias = 31 - (mod<<1);
tmp = thr0[alias] * invb[15-mod];
if ( tmp < tmp0 ) tmp0 = tmp;
tmp = thr1[alias] * invb[15-mod];
if ( tmp < tmp1 ) tmp1 = tmp;
}
*shaped0++ = tmp0;
*shaped1++ = tmp1;
}
return;
}
// input : current spectrum in the form of power *spec and phase *phase,
// the last two earlier spectrums are at position
// 512 and 1024 of the corresponding Input-Arrays.
// Array *vocal, which can mark an FFT_Linie as harmonic
// output: current amplitude *amp and unpredictability *cw
static void
CalcUnpred (PsyModel* m,
const int MaxLine,
const float* spec,
const float* phase,
const int* vocal,
float* amp0,
float* phs0,
float* cw )
{
int n;
float amp;
float tmp;
#define amp1 ((amp0) + 512) // amp[ 512...1023] contains data of frame-1
#define amp2 ((amp0) + 1024) // amp[1024...1535] contains data of frame-2
#define phs1 ((phs0) + 512) // phs[ 512...1023] contains data of frame-1
#define phs2 ((phs0) + 1024) // phs[1024...1535] contains data of frame-2
for ( n = 0; n < MaxLine; n++ ) {
tmp = COSF ((phs0[n] = phase[n]) - 2*phs1[n] + phs2[n]); // copy phase to output-array, predict phase and calculate predictive error
amp0[n] = SQRTF (spec[n]); // calculate and set amplitude
amp = 2*amp1[n] - amp2[n]; // predict amplitude
// calculate unpredictability
cw[n] = SQRTF (spec[n] + amp * (amp - 2*amp0[n] * tmp)) / (amp0[n] + FABS(amp));
}
// postprocessing of harmonic FFT-lines (*cw is set to CVD_UNPRED)
if ( m->CVD_used && vocal != NULL ) {
for ( n = 0; n < MAX_CVD_LINE; n++, cw++, vocal++ )
if ( *vocal != 0 && *cw > CVD_UNPRED * 0.01 * *vocal )
*cw = CVD_UNPRED * 0.01 * *vocal;
}
return;
}
#undef amp1
#undef amp2
#undef phs1
#undef phs2
// input : Energy *erg, calibrated energy *werg
// output: spread energy *res, spread weighted energy *wres
// SPRD describes the spreading function as calculated in psy_tab.c
static void
SpreadingSignal ( const float* erg, const float* werg, float* res,
float* wres )
{
int n;
int k;
int start;
int stop;
const float* sprd;
float e;
float ew;
for (k=0; k<PART_LONG; ++k, ++erg, ++werg) { // Source (masking partition)
start = maxi(k-5, 0); // minimum affected partition
stop = mini(k+7, PART_LONG-1); // maximum affected partition
sprd = SPRD[k] + start; // load vector
e = *erg;
ew = *werg;
for (n=start; n<=stop; ++n, ++sprd) {
res [n] += *sprd * e; // spreading signal
wres[n] += *sprd * ew; // spreading weighted signal
}
}
return;
}
// input : spread weighted energy *werg, spread energy *erg
// output: masking threshold *erg after applying the tonality-offset
static void
ApplyTonalityOffset ( float* erg0, float* erg1, const float* werg0, const float* werg1 )
{
int n;
float Offset;
float quot;
// calculation of the masked threshold in the partition range
for ( n = 0; n < PART_LONG; n++ ) {
quot = *werg0++ / *erg0;
if (quot <= 0.05737540597f) Offset = O_MAX;
else if (quot < 0.5871011603f ) Offset = FAC1 * POW (quot, FAC2);
else Offset = O_MIN;
*erg0++ *= iw[n] * minf(MinVal[n], Offset);
quot = *werg1++ / *erg1;
if (quot <= 0.05737540597f) Offset = O_MAX;
else if (quot < 0.5871011603f ) Offset = FAC1 * POW (quot, FAC2);
else Offset = O_MIN;
*erg1++ *= iw[n] * minf(MinVal[n], Offset);
}
return;
}
// input: previous loudness *loud, energies *erg, threshold in quiet *adapted_ltq
// output: tracked loudness *loud, adapted threshold in quiet <Return value>
static float
AdaptLtq ( PsyModel* m, const float* erg0, const float* erg1 )
{
static float loud = 0.f;
float* weight = Loudness;
float sum = 0.f;
int n;
// calculate loudness
for ( n = 0; n < PART_LONG; n++ )
sum += (*erg0++ + *erg1++) * *weight++;
// Utilization of the time constants (fast drop of Ltq T=5, slow rise of Ltq T=20)
//loud = (sum < loud) ? (4 * sum + loud)*0.2f : (19 * loud + sum)*0.05f;
loud = 0.98 * loud + 0.02 * (0.5 * sum);
// calculate dynamic offset for threshold in quiet, 0...+20 dB, at 96 dB loudness, an offset of 20 dB is assumed
return 1.f + m->varLtq * loud * 5.023772e-08f;
}
// input : simultaneous masking threshold *frqthr,
// previous masking threshold *tmpthr,
// Integrations *a (short-time) and *b (long-time)
// output: tracked Integrations *a and *b, time constant *tau
static void
CalcTemporalThreshold ( float* a, float* b, float* tau, float* frqthr, float* tmpthr )
{
int n;
float tmp;
for ( n = 0; n < PART_LONG; n++ ) {
// following calculations relative to threshold in quiet
frqthr[n] *= invLtq[n];
tmpthr[n] *= invLtq[n];
// new post-masking 'tmp' via time constant tau, if old post-masking > Ltq (=1)
tmp = tmpthr[n] > 1.f ? POW ( tmpthr[n], tau[n] ) : 1.f;
// calculate time constant for post-masking in next frame,
// if new time constant has to be calculated (new tmpMask < frqMask)
a[n] += 0.5f * (frqthr[n] - a[n]); // short time integrator
b[n] += 0.15f * (frqthr[n] - b[n]); // long time integrator
if (tmp < frqthr[n])
tau[n] = a[n] <= b[n] ? 0.8f : 0.2f + b[n] / a[n] * 0.6f;
// use post-masking of (Re-Normalization)
tmpthr[n] = maxf (frqthr[n], tmp) * partLtq[n];
}
return;
}
// input : L/R-Masking thresholds in Partitions *thrL, *thrR
// L/R-Subband energies *ergL, *ergR
// M/S-Subband energies *ergM, *ergS
// output: M/S-Masking thresholds in Partitions *thrM, *thrS
static void
CalcMSThreshold ( PsyModel* m,
const float* const ergL,
const float* const ergR,
const float* const ergM,
const float* const ergS,
float* const thrL,
float* const thrR,
float* const thrM,
float* const thrS )
{
int n;
float norm;
float tmp;
// All hardcoded numbers here should be pulled from somewhere,
// the "4.", the -2 dB, the 0.0625 and the 0.9375, as well as all bands where this is done
for ( n = 0; n < PART_LONG; n++ ) {
// estimate M/S thresholds out of L/R thresholds and M/S and L/R energies
thrS[n] = thrM[n] = maxf (ergM[n], ergS[n]) / maxf (ergL[n], ergR[n]) * minf (thrL[n], thrR[n]);
switch ( m->MS_Channelmode ) { // preserve 'near-mid' signal components
case 3:
if ( n > 0 ) {
double ratioMS = ergM[n] > ergS[n] ? ergS[n] / ergM[n] : ergM[n] / ergS[n];
double ratioLR = ergL[n] > ergR[n] ? ergR[n] / ergL[n] : ergL[n] / ergR[n];
if ( ratioMS < ratioLR ) { // MS
if ( ergM[n] > ergS[n] )
thrS[n] = thrL[n] = thrR[n] = 1.e18f;
else
thrM[n] = thrL[n] = thrR[n] = 1.e18f;
}
else { // LR
if ( ergL[n] > ergR[n] )
thrR[n] = thrM[n] = thrS[n] = 1.e18f;
else
thrL[n] = thrM[n] = thrS[n] = 1.e18f;
}
}
break;
case 4:
if ( n > 0 ) {
double ratioMS = ergM[n] > ergS[n] ? ergS[n] / ergM[n] : ergM[n] / ergS[n];
double ratioLR = ergL[n] > ergR[n] ? ergR[n] / ergL[n] : ergL[n] / ergR[n];
if ( ratioMS < ratioLR ) { // MS
if ( ergM[n] > ergS[n] )
thrS[n] = 1.e18f;
else
thrM[n] = 1.e18f;
}
else { // LR
if ( ergL[n] > ergR[n] )
thrR[n] = 1.e18f;
else
thrL[n] = 1.e18f;
}
}
break;
case 5:
thrS[n] *= 2.; // +3 dB
break;
case 6:
break;
default:
fprintf ( stderr, "Unknown stereo mode\n");
case 10:
if ( 4. * ergL[n] > ergR[n] && ergL[n] < 4. * ergR[n] ) {// Energy between both channels differs by less than 6 dB
norm = 0.70794578f * iw[n]; // -1.5 dB * iwidth
if ( ergM[n] > ergS[n] ) {
tmp = ergS[n] * norm;
if ( thrS[n] > tmp )
thrS[n] = MS2SPAT1 * thrS[n] + (1.f-MS2SPAT1) * tmp; // raises masking threshold by up to 3 dB
} else if ( ergS[n] > ergM[n] ) {
tmp = ergM[n] * norm;
if ( thrM[n] > tmp )
thrM[n] = MS2SPAT1 * thrM[n] + (1.f-MS2SPAT1) * tmp;
}
}
break;
case 11:
if ( 4. * ergL[n] > ergR[n] && ergL[n] < 4. * ergR[n] ) {// Energy between both channels differs by less than 6 dB
norm = 0.63095734f * iw[n]; // -2.0 dB * iwidth
if ( ergM[n] > ergS[n] ) {
tmp = ergS[n] * norm;
if ( thrS[n] > tmp )
thrS[n] = MS2SPAT2 * thrS[n] + (1.f-MS2SPAT2) * tmp; // raises masking threshold by up to 6 dB
} else if ( ergS[n] > ergM[n] ) {
tmp = ergM[n] * norm;
if ( thrM[n] > tmp )
thrM[n] = MS2SPAT2 * thrM[n] + (1.f-MS2SPAT2) * tmp;
}
}
break;
case 12:
if ( 4. * ergL[n] > ergR[n] && ergL[n] < 4. * ergR[n] ) {// Energy between both channels differs by less than 6 dB
norm = 0.56234133f * iw[n]; // -2.5 dB * iwidth
if ( ergM[n] > ergS[n] ) {
tmp = ergS[n] * norm;
if ( thrS[n] > tmp )
thrS[n] = MS2SPAT3 * thrS[n] + (1.f-MS2SPAT3) * tmp; // raises masking threshold by up to 9 dB
} else if ( ergS[n] > ergM[n] ) {
tmp = ergM[n] * norm;
if ( thrM[n] > tmp )
thrM[n] = MS2SPAT3 * thrM[n] + (1.f-MS2SPAT3) * tmp;
}
}
break;
case 13:
if ( 4. * ergL[n] > ergR[n] && ergL[n] < 4. * ergR[n] ) {// Energy between both channels differs by less than 6 dB
norm = 0.50118723f * iw[n]; // -3.0 dB * iwidth
if ( ergM[n] > ergS[n] ) {
tmp = ergS[n] * norm;
if ( thrS[n] > tmp )
thrS[n] = MS2SPAT4 * thrS[n] + (1.f-MS2SPAT4) * tmp; // raises masking threshold by up to 12 dB
} else if ( ergS[n] > ergM[n] ) {
tmp = ergM[n] * norm;
if ( thrM[n] > tmp )
thrM[n] = MS2SPAT4 * thrM[n] + (1.f-MS2SPAT4) * tmp;
}
}
break;
case 15:
if ( 4. * ergL[n] > ergR[n] && ergL[n] < 4. * ergR[n] ) {// Energy between both channels differs by less than 6 dB
norm = 0.50118723f * iw[n]; // -3.0 dB * iwidth
if ( ergM[n] > ergS[n] ) {
tmp = ergS[n] * norm;
if ( thrS[n] > tmp )
thrS[n] = tmp; // raises masking threshold by up to +oo dB an
} else if ( ergS[n] > ergM[n] ) {
tmp = ergM[n] * norm;
if ( thrM[n] > tmp )
thrM[n] = tmp;
}
}
break;
case 22:
if ( 4. * ergL[n] > ergR[n] && ergL[n] < 4. * ergR[n] ) {// Energy between both channels differs by less than 6 dB
norm = 0.56234133f * iw[n]; // -2.5 dB * iwidth
if ( ergM[n] > ergS[n] ) {
tmp = ergS[n] * norm;
if ( thrS[n] > tmp )
thrS[n] = maxf (tmp, ergM[n]*iw[n]*0.025); // +/- 1.414
} else if ( ergS[n] > ergM[n] ) {
tmp = ergM[n] * norm;
if ( thrM[n] > tmp )
thrM[n] = maxf (tmp, ergS[n]*iw[n]*0.025); // +/- 1.414
}
}
break;
}
}
return;
}
// input : Masking thresholds in Partitions *partThr0, *partThr1
// level of threshold in quiet *ltq in FFT-resolution
// output: Masking thresholds in FFT-resolution *thr0, *thr1
// inline, because it's called 4x
static void
ApplyLtq ( float* thr0,
float* thr1,
const float* partThr0,
const float* partThr1,
const float AdaptedLTQ,
int MSflag )
{
int n, k;
float ms, ltq, tmp, tmpThr0, tmpThr1;
ms = AdaptedLTQ * (MSflag ? 0.125f : 0.25f);
for( n = 0; n < PART_LONG; n++ )
{
tmpThr0 = sqrt(partThr0[n]);
tmpThr1 = sqrt(partThr1[n]);
for ( k = wl[n]; k <= wh[n]; k++, thr0++, thr1++ )
{
// threshold in quiet (Partition)
// Applies a much more gentle ATH rolloff + 6 dB more dynamic
ltq = sqrt (ms * fftLtq [k]);
tmp = tmpThr0 + ltq;
*thr0 = tmp * tmp;
tmp = tmpThr1 + ltq;
*thr1 = tmp * tmp;
}
}
}
// input : Subband energies *erg0, *erg1
// Masking thresholds in FFT-resolution *thr0, *thr1
// output: SMR per Subband *smr0, *smr1
static void
CalculateSMR ( const int MaxBand,
const float* erg0,
const float* erg1,
const float* thr0,
const float* thr1,
float* smr0,
float* smr1 )
{
int n;
int k;
float tmp0;
float tmp1;
// calculation of the masked thresholds in the subbands
for (n = 0; n <= MaxBand; n++ ) {
tmp0 = *thr0++;
tmp1 = *thr1++;
for (k=1; k<16; ++k, ++thr0, ++thr1) {
if (*thr0 < tmp0) tmp0 = *thr0;
if (*thr1 < tmp1) tmp1 = *thr1;
}
*smr0++ = 0.0625f * *erg0++ / tmp0;
*smr1++ = 0.0625f * *erg1++ / tmp1;
}
return;
}
// input : energy spectrums erg[4][128] (4 delayed FFTs)
// Energy of the last short block *preerg in short partitions
// PreechoFac declares allowed traved of the masking threshold
// output: masking threshold *thr in short partitions
// Energy of the last short block *preerg in short partitions
static void
CalcShortThreshold ( PsyModel* m,
const float erg [4] [128],
const float ShortThr,
float* thr,
float old_erg [2][PART_SHORT],
int* transient )
{
const int* index_lo = wl_short; // lower FFT-index
const int* index_hi = wh_short; // upper FFT-index
const float* iwidth = iw_short; // inverse partition-width
int k;
int n;
int l;
float new_erg;
float th, TransDetect = m->TransDetect;
const float* ep;
for ( k = 0; k < PART_SHORT; k++ ) {
transient [k] = 0;
th = old_erg [0][k];
for ( n = 0; n < 4; n++ ) {
ep = erg[n] + index_lo [k];
l = index_hi [k] - index_lo [k];
new_erg = *ep++;
while (l--)
new_erg += *ep++; // e = Short_Partition-energy in piece n
if ( new_erg > old_erg [0][k] ) { // bigger than the old?
if ( new_erg > old_erg [0][k] * TransDetect ||
new_erg > old_erg [1][k] * TransDetect*2 ) // is signal transient?
transient [k] = 1;
}
else {
th = minf ( th, new_erg ); // assume short threshold = engr*PreechoFac
}
old_erg [1][k] = old_erg [0][k];
old_erg [0][k] = new_erg; // save the current one
}
thr [k] = th * ShortThr * *iwidth++; // pull out and multiply only when transient[k]=1
}
return;
}
// input : previous simultaneous masking threshold *preThr,
// current simultaneous masking threshold *simThr
// output: update of *preThr for next call,
// current masking threshold *partThr
static void
PreechoControl ( float* partThr0,
float* preThr0,
const float* simThr0,
float* partThr1,
float* preThr1,
const float* simThr1 )
{
int n;
for ( n = 0; n < PART_LONG; n++ ) {
*partThr0++ = minf ( *simThr0, *preThr0 * PREFAC_LONG);
*partThr1++ = minf ( *simThr1, *preThr1 * PREFAC_LONG);
*preThr0++ = *simThr0++;
*preThr1++ = *simThr1++;
}
return;
}
void
TransientenCalc ( int* T,
const int* TL,
const int* TR )
{
int i;
int x1;
int x2;
memset ( T, 0, 32*sizeof(*T) );
for ( i = 0; i < PART_SHORT; i++ )
if ( TL[i] || TR[i] ) {
x1 = wl_short[i] >> 2;
x2 = wh_short[i] >> 2;
while ( x1 <= x2 )
T [x1++] = 1;
}
}
// input : PCM-Data *data
// output: SMRs for the input data
SMRTyp
Psychoakustisches_Modell ( PsyModel* m,
const int MaxBand,
const PCMDataTyp* data,
int* TransientL,
int* TransientR )
{
float Xi_L[32], Xi_R[32]; // acoustic pressure per Subband L/R
float Xi_M[32], Xi_S[32]; // acoustic pressure per Subband M/S
float cw_L[512], cw_R[512]; // unpredictability (only L/R)
float erg0[512], erg1[512]; // holds energy spectrum of long FFT
float phs0[512], phs1[512]; // holds phase spectrum of long FFT
float Thr_L[2*512], Thr_R[2*512]; // masking thresholds L/R, second half for triangle swap
float Thr_M[2*512], Thr_S[2*512]; // masking thresholds M/S, second half for triangle swap
float F_256[4][128]; // holds energies of short FFTs (L/R only)
float Xerg[1024]; // holds energy spectrum of very long FFT
float Ls_L[PART_LONG], Ls_R[PART_LONG]; // acoustic pressure in Partition L/R
float Ls_M[PART_LONG], Ls_S[PART_LONG]; // acoustic pressure per each partition M/S
float PartThr_L[PART_LONG], PartThr_R[PART_LONG]; // masking thresholds L/R (Partition)
float PartThr_M[PART_LONG], PartThr_S[PART_LONG]; // masking thresholds M/S (Partition)
float sim_Mask_L[PART_LONG], sim_Mask_R[PART_LONG]; // simultaneous masking (only L/R)
float clow_L[PART_LONG], clow_R[PART_LONG]; // spread, weighted energy (only L/R)
float cLs_L[PART_LONG], cLs_R[PART_LONG]; // weighted partition energy (only L/R)
float shortThr_L[PART_SHORT],shortThr_R[PART_SHORT]; // threshold for short FFT (only L/R)
int n;
int MaxLine = (MaxBand+1)*16; // set FFT-resolution according to MaxBand
SMRTyp SMR0;
SMRTyp SMR1; // holds SMR's for first and second Analysis
int isvoc_L = 0;
int isvoc_R = 0;
float factorLTQ = 1.f; // Offset after variable LTQ
// 'ClearVocalDetection'-Process
if ( m->CVD_used ) {
memset ( Vocal_L, 0, sizeof Vocal_L );
memset ( Vocal_R, 0, sizeof Vocal_R );
// left channel
PowSpec2048 ( &data->L[0], Xerg );
isvoc_L = CVD2048 ( m, Xerg, Vocal_L );
// right channel
PowSpec2048 ( &data->R[0], Xerg );
isvoc_R = CVD2048 ( m, Xerg, Vocal_R );
}
// calculation of the spectral energy via FFT
PolarSpec1024 ( &data->L[0], erg0, phs0 ); // left
PolarSpec1024 ( &data->R[0], erg1, phs1 ); // right
// calculation of the acoustic pressures per each subband for L/R-signals
SubbandEnergy ( MaxBand, Xi_L, Xi_R, erg0, erg1 );
// calculation of the acoustic pressures per each partition
PartitionEnergy ( Ls_L, Ls_R, erg0, erg1 );
// calculate the predictability of the signal
// left
memmove ( Xsave_L+512, Xsave_L, 1024*sizeof(float) );
memmove ( Ysave_L+512, Ysave_L, 1024*sizeof(float) );
CalcUnpred ( m, MaxLine, erg0, phs0, isvoc_L ? Vocal_L : NULL, Xsave_L, Ysave_L, cw_L );
// right
memmove ( Xsave_R+512, Xsave_R, 1024*sizeof(float) );
memmove ( Ysave_R+512, Ysave_R, 1024*sizeof(float) );
CalcUnpred ( m, MaxLine, erg1, phs1, isvoc_R ? Vocal_R : NULL, Xsave_R, Ysave_R, cw_R );
// calculation of the weighted acoustic pressures per each partition
WeightedPartitionEnergy ( cLs_L, cLs_R, erg0, erg1, cw_L, cw_R );
// Spreading Signal & weighted unpredictability-signal
// left
memset ( clow_L , 0, sizeof clow_L );
memset ( sim_Mask_L, 0, sizeof sim_Mask_L );
SpreadingSignal ( Ls_L, cLs_L, sim_Mask_L, clow_L );
// right
memset ( clow_R , 0, sizeof clow_R );
memset ( sim_Mask_R, 0, sizeof sim_Mask_R );
SpreadingSignal ( Ls_R, cLs_R, sim_Mask_R, clow_R );
// Offset depending on tonality
ApplyTonalityOffset ( sim_Mask_L, sim_Mask_R, clow_L, clow_R );
// handling of transient signals
// calculate four short FFTs (left)
PowSpec256 ( &data->L[ 0+SHORTFFT_OFFSET], F_256[0] );
PowSpec256 ( &data->L[144+SHORTFFT_OFFSET], F_256[1] );
PowSpec256 ( &data->L[288+SHORTFFT_OFFSET], F_256[2] );
PowSpec256 ( &data->L[432+SHORTFFT_OFFSET], F_256[3] );
// calculate short Threshold
CalcShortThreshold ( m, F_256, m->ShortThr, shortThr_L, pre_erg_L, TransientL );
// calculate four short FFTs (right)
PowSpec256 ( &data->R[ 0+SHORTFFT_OFFSET], F_256[0] );
PowSpec256 ( &data->R[144+SHORTFFT_OFFSET], F_256[1] );
PowSpec256 ( &data->R[288+SHORTFFT_OFFSET], F_256[2] );
PowSpec256 ( &data->R[432+SHORTFFT_OFFSET], F_256[3] );
// calculate short Threshold
CalcShortThreshold ( m, F_256, m->ShortThr, shortThr_R, pre_erg_R, TransientR );
// dynamic adjustment of the threshold in quiet to the loudness of the current sequence
if ( m->varLtq > 0. )
factorLTQ = AdaptLtq (m, Ls_L, Ls_R );
// utilization of the temporal post-masking
if ( m->tmpMask_used ) {
CalcTemporalThreshold ( a, b, T_L, sim_Mask_L, tmp_Mask_L );
CalcTemporalThreshold ( c, d, T_R, sim_Mask_R, tmp_Mask_R );
memcpy ( sim_Mask_L, tmp_Mask_L, sizeof sim_Mask_L );
memcpy ( sim_Mask_R, tmp_Mask_R, sizeof sim_Mask_R );
}
// transient signal?
for ( n = 0; n < PART_SHORT; n++ ) {
if ( TransientL [n] ) {
sim_Mask_L [3*n ] = minf ( sim_Mask_L [3*n ], shortThr_L [n] );
sim_Mask_L [3*n+1] = minf ( sim_Mask_L [3*n+1], shortThr_L [n] );
sim_Mask_L [3*n+2] = minf ( sim_Mask_L [3*n+2], shortThr_L [n] );
}
if ( TransientR[n] ) {
sim_Mask_R [3*n ] = minf ( sim_Mask_R [3*n ], shortThr_R [n] );
sim_Mask_R [3*n+1] = minf ( sim_Mask_R [3*n+1], shortThr_R [n] );
sim_Mask_R [3*n+2] = minf ( sim_Mask_R [3*n+2], shortThr_R [n] );
}
}
// Pre-Echo control
PreechoControl ( PartThr_L,PreThr_L, sim_Mask_L, PartThr_R, PreThr_R, sim_Mask_R );
// utilization of the threshold in quiet
ApplyLtq ( Thr_L, Thr_R, PartThr_L, PartThr_R, factorLTQ, 0 );
// Consideration of aliasing between the subbands (noise is smeared)
// In: Thr[0..511], Out: Thr[512...1023]
AdaptThresholds ( MaxLine, Thr_L+512, Thr_R+512 );
memmove ( Thr_L, Thr_L+512, 512*sizeof(float) );
memmove ( Thr_R, Thr_R+512, 512*sizeof(float) );
// calculation of the Signal-to-Mask-Ratio
CalculateSMR ( MaxBand, Xi_L, Xi_R, Thr_L, Thr_R, SMR0.L, SMR0.R );
/***************************************************************************************/
/***************************************************************************************/
if ( m->MS_Channelmode > 0 ) {
// calculation of the spectral energy via FFT
PowSpec1024 ( &data->M[0], erg0 ); // mid
PowSpec1024 ( &data->S[0], erg1 ); // side
// calculation of the acoustic pressures per each subband for M/S-signals
SubbandEnergy ( MaxBand, Xi_M, Xi_S, erg0, erg1 );
// calculation of the acoustic pressures per each partition
PartitionEnergy ( Ls_M, Ls_S, erg0, erg1 );
// calculate masking thresholds for M/S
CalcMSThreshold ( m, Ls_L, Ls_R, Ls_M, Ls_S, PartThr_L, PartThr_R, PartThr_M, PartThr_S );
ApplyLtq ( Thr_M, Thr_S, PartThr_M, PartThr_S, factorLTQ, 1 );
// Consideration of aliasing between the subbands (noise is smeared)
// In: Thr[0..511], Out: Thr[512...1023]
AdaptThresholds ( MaxLine, Thr_M+512, Thr_S+512 );
memmove ( Thr_M, Thr_M+512, 512*sizeof(float) );
memmove ( Thr_S, Thr_S+512, 512*sizeof(float) );
// calculation of the Signal-to-Mask-Ratio
CalculateSMR ( MaxBand, Xi_M, Xi_S, Thr_M, Thr_S, SMR0.M, SMR0.S );
}
if ( m->NS_Order > 0 ) { // providing the Noise Shaping thresholds
memcpy ( ANSspec_L, Thr_L, sizeof ANSspec_L );
memcpy ( ANSspec_R, Thr_R, sizeof ANSspec_R );
memcpy ( ANSspec_M, Thr_M, sizeof ANSspec_M );
memcpy ( ANSspec_S, Thr_S, sizeof ANSspec_S );
}
/***************************************************************************************/
/***************************************************************************************/
//
//-------- second model calculation via shifted FFT ------------------------
//
// calculation of the spectral power via FFT
PolarSpec1024 ( &data->L[576], erg0, phs0 ); // left
PolarSpec1024 ( &data->R[576], erg1, phs1 ); // right
// calculation of the acoustic pressures per each subband for L/R-signals
SubbandEnergy ( MaxBand, Xi_L, Xi_R, erg0, erg1 );
// calculation of the acoustic pressures per each partition
PartitionEnergy ( Ls_L, Ls_R, erg0, erg1 );
// calculate the predictability of the signal
// left
memmove ( Xsave_L+512, Xsave_L, 1024*sizeof(float) );
memmove ( Ysave_L+512, Ysave_L, 1024*sizeof(float) );
CalcUnpred ( m, MaxLine, erg0, phs0, isvoc_L ? Vocal_L : NULL, Xsave_L, Ysave_L, cw_L );
// right
memmove ( Xsave_R+512, Xsave_R, 1024*sizeof(float) );
memmove ( Ysave_R+512, Ysave_R, 1024*sizeof(float) );
CalcUnpred ( m, MaxLine, erg1, phs1, isvoc_R ? Vocal_R : NULL, Xsave_R, Ysave_R, cw_R );
// calculation of the weighted acoustic pressure per each partition
WeightedPartitionEnergy ( cLs_L, cLs_R, erg0, erg1, cw_L, cw_R );
// Spreading Signal & weighted unpredictability-signal
// left
memset ( clow_L , 0, sizeof clow_L );
memset ( sim_Mask_L, 0, sizeof sim_Mask_L );
SpreadingSignal ( Ls_L, cLs_L, sim_Mask_L, clow_L );
// right
memset ( clow_R , 0, sizeof clow_R );
memset ( sim_Mask_R, 0, sizeof sim_Mask_R );
SpreadingSignal ( Ls_R, cLs_R, sim_Mask_R, clow_R );
// Offset depending on tonality
ApplyTonalityOffset ( sim_Mask_L, sim_Mask_R, clow_L, clow_R );
// Handling of transient signals
// calculate four short FFTs (left)
PowSpec256 ( &data->L[ 576+SHORTFFT_OFFSET], F_256[0] );
PowSpec256 ( &data->L[ 720+SHORTFFT_OFFSET], F_256[1] );
PowSpec256 ( &data->L[ 864+SHORTFFT_OFFSET], F_256[2] );
PowSpec256 ( &data->L[1008+SHORTFFT_OFFSET], F_256[3] );
// calculate short Threshold
CalcShortThreshold ( m, F_256, m->ShortThr, shortThr_L, pre_erg_L, TransientL );
// calculate four short FFTs (right)
PowSpec256 ( &data->R[ 576+SHORTFFT_OFFSET], F_256[0] );
PowSpec256 ( &data->R[ 720+SHORTFFT_OFFSET], F_256[1] );
PowSpec256 ( &data->R[ 864+SHORTFFT_OFFSET], F_256[2] );
PowSpec256 ( &data->R[1008+SHORTFFT_OFFSET], F_256[3] );
// calculate short Threshold
CalcShortThreshold ( m, F_256, m->ShortThr, shortThr_R, pre_erg_R, TransientR );
// dynamic adjustment of threshold in quiet to loudness of the current sequence
if ( m->varLtq > 0. )
factorLTQ = AdaptLtq ( m, Ls_L, Ls_R );
// utilization of temporal post-masking
if (m->tmpMask_used) {
CalcTemporalThreshold ( a, b, T_L, sim_Mask_L, tmp_Mask_L );
CalcTemporalThreshold ( c, d, T_R, sim_Mask_R, tmp_Mask_R );
memcpy ( sim_Mask_L, tmp_Mask_L, sizeof sim_Mask_L );
memcpy ( sim_Mask_R, tmp_Mask_R, sizeof sim_Mask_R );
}
// transient signal?
for ( n = 0; n < PART_SHORT; n++ ) {
if ( TransientL[n] ) {
sim_Mask_L [3*n ] = minf ( sim_Mask_L [3*n ], shortThr_L [n] );
sim_Mask_L [3*n+1] = minf ( sim_Mask_L [3*n+1], shortThr_L [n] );
sim_Mask_L [3*n+2] = minf ( sim_Mask_L [3*n+2], shortThr_L [n] );
}
if ( TransientR[n] ) {
sim_Mask_R [3*n ] = minf ( sim_Mask_R [3*n ], shortThr_R [n] );
sim_Mask_R [3*n+1] = minf ( sim_Mask_R [3*n+1], shortThr_R [n] );
sim_Mask_R [3*n+2] = minf ( sim_Mask_R [3*n+2], shortThr_R [n] );
}
}
// Pre-Echo control
PreechoControl ( PartThr_L, PreThr_L, sim_Mask_L, PartThr_R, PreThr_R, sim_Mask_R );
// utilization of threshold in quiet
ApplyLtq ( Thr_L, Thr_R, PartThr_L, PartThr_R, factorLTQ, 0 );
// Consideration of aliasing between the subbands (noise is smeared)
// In: Thr[0..511], Out: Thr[512...1023]
AdaptThresholds ( MaxLine, Thr_L+512, Thr_R+512 );
memmove ( Thr_L, Thr_L+512, 512*sizeof(float) );
memmove ( Thr_R, Thr_R+512, 512*sizeof(float) );
// calculation of the Signal-to-Mask-Ratio
CalculateSMR ( MaxBand, Xi_L, Xi_R, Thr_L, Thr_R, SMR1.L, SMR1.R );
/***************************************************************************************/
/***************************************************************************************/
if ( m->MS_Channelmode > 0 ) {
// calculation of the spectral energy via FFT
PowSpec1024 ( &data->M[576], erg0 ); // mid
PowSpec1024 ( &data->S[576], erg1 ); // side
// calculation of the acoustic pressure per each subband for M/S-signals
SubbandEnergy ( MaxBand, Xi_M, Xi_S, erg0, erg1 );
// calculation of the acoustic pressure per each partition
PartitionEnergy ( Ls_M, Ls_S, erg0, erg1 );
// calculate masking thresholds for M/S
CalcMSThreshold ( m, Ls_L, Ls_R, Ls_M, Ls_S, PartThr_L, PartThr_R, PartThr_M, PartThr_S );
ApplyLtq ( Thr_M, Thr_S, PartThr_M, PartThr_S, factorLTQ, 1 );
// Consideration of aliasing between the subbands (noise is smeared)
// In: Thr[0..511], Out: Thr[512...1023]
AdaptThresholds ( MaxLine, Thr_M+512, Thr_S+512 );
memmove ( Thr_M, Thr_M+512, 512*sizeof(float) );
memmove ( Thr_S, Thr_S+512, 512*sizeof(float) );
// calculation of the Signal-to-Mask-Ratio
CalculateSMR ( MaxBand, Xi_M, Xi_S, Thr_M, Thr_S, SMR1.M, SMR1.S );
}
/***************************************************************************************/
/***************************************************************************************/
if ( m->NS_Order > 0 ) {
for ( n = 0; n < MAX_ANS_LINES; n++ ) { // providing Noise Shaping thresholds
ANSspec_L [n] = minf ( ANSspec_L [n], Thr_L [n] );
ANSspec_R [n] = minf ( ANSspec_R [n], Thr_R [n] );
ANSspec_M [n] = minf ( ANSspec_M [n], Thr_M [n] );
ANSspec_S [n] = minf ( ANSspec_S [n], Thr_S [n] );
}
}
for ( n = 0; n <= MaxBand; n++ ) { // choose 'worst case'-SMR from shifted analysis windows
SMR0.L[n] = maxf ( SMR0.L[n], SMR1.L[n] );
SMR0.R[n] = maxf ( SMR0.R[n], SMR1.R[n] );
SMR0.M[n] = maxf ( SMR0.M[n], SMR1.M[n] );
SMR0.S[n] = maxf ( SMR0.S[n], SMR1.S[n] );
}
return SMR0;
}
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