ref: 33ddd7974dd5a66968da754a44072fbc6a5a9bd7
dir: /libcelt/psy.c/
/* (C) 2007 Jean-Marc Valin, CSIRO
*/
/*
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 the Xiph.org Foundation 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 FOUNDATION 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 "psy.h"
#include <math.h>
/* The Vorbis freq<->Bark mapping */
#define toBARK(n) (13.1f*atan(.00074f*(n))+2.24f*atan((n)*(n)*1.85e-8f)+1e-4f*(n))
#define fromBARK(z) (102.f*(z)-2.f*pow(z,2.f)+.4f*pow(z,3.f)+pow(1.46f,z)-1.f)
/* Psychoacoustic spreading function. The idea here is compute a first order
recursive filter. The filter coefficient is frequency dependent and
chosen such that we have a -10dB/Bark slope on the right side and a -25dB/Bark
slope on the left side. */
static void spreading_func(float *psd, float *mask, int len, int Fs)
{
int i;
float decayL[len], decayR[len];
float mem;
//for (i=0;i<len;i++) printf ("%f ", psd[i]);
/* This can easily be tabulated, which makes the function very fast. */
for (i=0;i<len;i++)
{
float f;
float deriv;
/* Real frequency (in Hz) */
f = Fs*i*(1/(2.f*len));
/* This is the derivative of the Vorbis freq->Bark function (see above) */
deriv = (8.288e-8 * f)/(3.4225e-16 *f*f*f*f + 1) + .009694/(5.476e-7 *f*f + 1) + 1e-4;
/* Back to FFT bin units */
deriv *= Fs*(1/(2.f*len));
/* decay corresponding to -10dB/Bark */
decayR[i] = pow(.1f, deriv);
/* decay corresponding to -25dB/Bark */
decayL[i] = pow(0.0031623f, deriv);
//printf ("%f %f\n", decayL[i], decayR[i]);
}
/* Compute right slope (-10 dB/Bark) */
mem=psd[0];
for (i=0;i<len;i++)
{
mask[i] = (1-decayR[i])*psd[i] + decayR[i]*mem;
mem = mask[i];
}
/* Compute left slope (-25 dB/Bark) */
mem=mask[len-1];
for (i=len-1;i>=0;i--)
{
mask[i] = (1-decayR[i])*mask[i] + decayL[i]*mem;
mem = mask[i];
}
//for (i=0;i<len;i++) printf ("%f ", mask[i]); printf ("\n");
#if 0 /* Prints signal and mask energy per critical band */
for (i=0;i<25;i++)
{
int start,end;
int j;
float Esig=0, Emask=0;
start = (int)floor(fromBARK((float)i)*(2*len)/Fs);
if (start<0)
start = 0;
end = (int)ceil(fromBARK((float)(i+1))*(2*len)/Fs);
if (end<=start)
end = start+1;
if (end>len-1)
end = len-1;
for (j=start;j<end;j++)
{
Esig += psd[j];
Emask += mask[j];
}
printf ("%f %f ", Esig, Emask);
}
printf ("\n");
#endif
}
/* Compute a marking threshold from the spectrum X. */
void compute_masking(float *X, float *mask, int len, int Fs)
{
int i;
int N=len/2;
float psd[N];
psd[0] = X[0]*X[0];
for (i=1;i<N;i++)
psd[i] = X[i*2-1]*X[i*2-1] + X[i*2]*X[i*2];
/* TODO: Do tone masking */
/* Noise masking */
spreading_func(psd, mask, N, Fs);
}
void compute_mdct_masking(float *X, float *mask, int len, int Fs)
{
int i;
float psd[len];
float mem;
for (i=0;i<len;i++)
mask[i] = X[i]*X[i];
for (i=1;i<len-1;i++)
psd[i] = .5*mask[i] + .25*(mask[i-1]+mask[i+1]);
//psd[0] = .5*mask[0]+.25*(mask[1]+mask[2]);
psd[0] = .5*mask[0]+.5*mask[1];
psd[len-1] = .5*(mask[len-1]+mask[len-2]);
/* TODO: Do tone masking */
/* Noise masking */
spreading_func(psd, mask, len, Fs);
}