/********************************************************************
* *
- * THIS FILE IS PART OF THE Ogg Vorbis SOFTWARE CODEC SOURCE CODE. *
- * USE, DISTRIBUTION AND REPRODUCTION OF THIS SOURCE IS GOVERNED BY *
- * THE GNU PUBLIC LICENSE 2, WHICH IS INCLUDED WITH THIS SOURCE. *
- * PLEASE READ THESE TERMS DISTRIBUTING. *
+ * THIS FILE IS PART OF THE OggVorbis SOFTWARE CODEC SOURCE CODE. *
+ * USE, DISTRIBUTION AND REPRODUCTION OF THIS LIBRARY SOURCE IS *
+ * GOVERNED BY A BSD-STYLE SOURCE LICENSE INCLUDED WITH THIS SOURCE *
+ * IN 'COPYING'. PLEASE READ THESE TERMS BEFORE DISTRIBUTING. *
* *
- * THE OggSQUISH SOURCE CODE IS (C) COPYRIGHT 1994-2000 *
- * by Monty <monty@xiph.org> and The XIPHOPHORUS Company *
- * http://www.xiph.org/ *
+ * THE OggVorbis SOURCE CODE IS (C) COPYRIGHT 1994-2009 *
+ * by the Xiph.Org Foundation http://www.xiph.org/ *
* *
********************************************************************
function: LPC low level routines
- last mod: $Id: lpc.c,v 1.23 2000/08/15 09:09:43 xiphmont Exp $
********************************************************************/
/* Input : n elements of time doamin data
Output: m lpc coefficients, excitation energy */
-double vorbis_lpc_from_data(double *data,double *lpc,int n,int m){
- double *aut=alloca(sizeof(double)*(m+1));
+float vorbis_lpc_from_data(float *data,float *lpci,int n,int m){
+ double *aut=alloca(sizeof(*aut)*(m+1));
+ double *lpc=alloca(sizeof(*lpc)*(m));
double error;
+ double epsilon;
int i,j;
/* autocorrelation, p+1 lag coefficients */
-
j=m+1;
while(j--){
- double d=0;
- for(i=j;i<n;i++)d+=data[i]*data[i-j];
+ double d=0; /* double needed for accumulator depth */
+ for(i=j;i<n;i++)d+=(double)data[i]*data[i-j];
aut[j]=d;
}
-
+
/* Generate lpc coefficients from autocorr values */
- error=aut[0];
- if(error==0){
- memset(lpc,0,m*sizeof(double));
- return 0;
- }
-
+ /* set our noise floor to about -100dB */
+ error=aut[0] * (1. + 1e-10);
+ epsilon=1e-9*aut[0]+1e-10;
+
for(i=0;i<m;i++){
- double r=-aut[i+1];
+ double r= -aut[i+1];
+
+ if(error<epsilon){
+ memset(lpc+i,0,(m-i)*sizeof(*lpc));
+ goto done;
+ }
/* Sum up this iteration's reflection coefficient; note that in
Vorbis we don't save it. If anyone wants to recycle this code
each iteration. */
for(j=0;j<i;j++)r-=lpc[j]*aut[i-j];
- r/=error;
+ r/=error;
/* Update LPC coefficients and total error */
-
+
lpc[i]=r;
for(j=0;j<i/2;j++){
double tmp=lpc[j];
+
lpc[j]+=r*lpc[i-1-j];
lpc[i-1-j]+=r*tmp;
}
- if(i%2)lpc[j]+=lpc[j]*r;
-
- error*=1.0-r*r;
- }
-
- /* we need the error value to know how big an impulse to hit the
- filter with later */
-
- return error;
-}
+ if(i&1)lpc[j]+=lpc[j]*r;
-/* Input : n element envelope spectral curve
- Output: m lpc coefficients, excitation energy */
+ error*=1.-r*r;
-double vorbis_lpc_from_curve(double *curve,double *lpc,lpc_lookup *l){
- int n=l->ln;
- int m=l->m;
- double *work=alloca(sizeof(double)*(n+n));
- double fscale=.5/n;
- int i,j;
-
- /* input is a real curve. make it complex-real */
- /* This mixes phase, but the LPC generation doesn't care. */
- for(i=0;i<n;i++){
- work[i*2]=curve[i]*fscale;
- work[i*2+1]=0;
- }
- work[n*2-1]=curve[n-1]*fscale;
-
- n*=2;
- drft_backward(&l->fft,work);
-
- /* The autocorrelation will not be circular. Shift, else we lose
- most of the power in the edges. */
-
- for(i=0,j=n/2;i<n/2;){
- double temp=work[i];
- work[i++]=work[j];
- work[j++]=temp;
}
-
- /* we *could* shave speed here by skimping on the edges (thus
- speeding up the autocorrelation in vorbis_lpc_from_data) but we
- don't right now. */
- return(vorbis_lpc_from_data(work,lpc,n,m));
-}
-
-void lpc_init(lpc_lookup *l,long mapped, int m){
- memset(l,0,sizeof(lpc_lookup));
-
- l->ln=mapped;
- l->m=m;
-
- /* we cheat decoding the LPC spectrum via FFTs */
- drft_init(&l->fft,mapped*2);
-
-}
-
-void lpc_clear(lpc_lookup *l){
- if(l){
- drft_clear(&l->fft);
- }
-}
-
-/* One can do this the long way by generating the transfer function in
- the time domain and taking the forward FFT of the result. The
- results from direct calculation are cleaner and faster.
-
- This version does a linear curve generation and then later
- interpolates the log curve from the linear curve. */
-
-void vorbis_lpc_to_curve(double *curve,double *lpc,double amp,
- lpc_lookup *l){
- int i;
- memset(curve,0,sizeof(double)*l->ln*2);
- if(amp==0)return;
-
- for(i=0;i<l->m;i++){
- curve[i*2+1]=lpc[i]/(4*amp);
- curve[i*2+2]=-lpc[i]/(4*amp);
- }
-
- drft_backward(&l->fft,curve); /* reappropriated ;-) */
+ done:
+ /* slightly damp the filter */
{
- int l2=l->ln*2;
- double unit=1./amp;
- curve[0]=(1./(curve[0]*2+unit));
- for(i=1;i<l->ln;i++){
- double real=(curve[i]+curve[l2-i]);
- double imag=(curve[i]-curve[l2-i]);
-
- double a = real + unit;
- curve[i] = 1.0 / FAST_HYPOT(a, imag);
+ double g = .99;
+ double damp = g;
+ for(j=0;j<m;j++){
+ lpc[j]*=damp;
+ damp*=g;
}
}
-}
-
-/* subtract or add an lpc filter to data. */
-
-void vorbis_lpc_filter(double *coeff,double *prime,int m,
- double *data,long n,double amp){
-
- /* in: coeff[0...m-1] LPC coefficients
- prime[0...m-1] initial values
- data[0...n-1] data samples
- out: data[0...n-1] residuals from LPC prediction */
-
- long i,j;
- double *work=alloca(sizeof(double)*(m+n));
- double y;
-
- if(!prime)
- for(i=0;i<m;i++)
- work[i]=0;
- else
- for(i=0;i<m;i++)
- work[i]=prime[i];
-
- for(i=0;i<n;i++){
- y=0;
- for(j=0;j<m;j++)
- y-=work[i+j]*coeff[m-j-1];
-
- data[i]=work[i+m]=data[i]+y;
-
- }
-}
-
-void vorbis_lpc_residue(double *coeff,double *prime,int m,
- double *data,long n){
- /* in: coeff[0...m-1] LPC coefficients
- prime[0...m-1] initial values
- data[0...n-1] data samples
- out: data[0...n-1] residuals from LPC prediction */
+ for(j=0;j<m;j++)lpci[j]=(float)lpc[j];
- long i,j;
- double *work=alloca(sizeof(double)*(m+n));
- double y;
-
- if(!prime)
- for(i=0;i<m;i++)
- work[i]=0;
- else
- for(i=0;i<m;i++)
- work[i]=prime[i];
+ /* we need the error value to know how big an impulse to hit the
+ filter with later */
- for(i=0;i<n;i++){
- y=0;
- for(j=0;j<m;j++)
- y-=work[i+j]*coeff[m-j-1];
-
- work[i+m]=data[i];
- data[i]-=y;
- }
+ return error;
}
-void vorbis_lpc_predict(double *coeff,double *prime,int m,
- double *data,long n){
+void vorbis_lpc_predict(float *coeff,float *prime,int m,
+ float *data,long n){
- /* in: coeff[0...m-1] LPC coefficients
+ /* in: coeff[0...m-1] LPC coefficients
prime[0...m-1] initial values (allocated size of n+m-1)
- data[0...n-1] residuals from LPC prediction
out: data[0...n-1] data samples */
long i,j,o,p;
- double y;
- double *work=alloca(sizeof(double)*(m+n));
+ float y;
+ float *work=alloca(sizeof(*work)*(m+n));
if(!prime)
for(i=0;i<m;i++)
- work[i]=0.;
+ work[i]=0.f;
else
for(i=0;i<m;i++)
work[i]=prime[i];
for(i=0;i<n;i++){
- y=data[i];
+ y=0;
o=i;
p=m;
for(j=0;j<m;j++)
y-=work[o++]*coeff[--p];
-
+
data[i]=work[o]=y;
}
}
-
projects / platform / upstream / libvorbis.git / blobdiff