mirror of
https://gitee.com/openharmony/third_party_ffmpeg
synced 2024-11-24 11:49:48 +00:00
optionally (use_lpc=2) support Cholesky factorization for finding the lpc coeficients
this will find the coefficients which minimize the sum of the squared errors, levinson-durbin recursion OTOH is only strictly correct if the autocorrelation matrix is a toeplitz matrix which it is only if the blocksize is infinite, this is also why applying a window (like the welch winodw we currently use) improves the lpc coefficients generated by levinson-durbin recursion ... optionally (use_lpc>2) support iterative linear least abs() solver using cholesky factorization with adjusted weights in each iteration compression gain for both is small, and multiple passes are of course dead slow Originally committed as revision 5747 to svn://svn.ffmpeg.org/ffmpeg/trunk
This commit is contained in:
parent
643326f747
commit
ab01b2b82a
@ -21,6 +21,7 @@
|
||||
#include "bitstream.h"
|
||||
#include "crc.h"
|
||||
#include "golomb.h"
|
||||
#include "lls.h"
|
||||
|
||||
#define FLAC_MAX_CH 8
|
||||
#define FLAC_MIN_BLOCKSIZE 16
|
||||
@ -236,10 +237,12 @@ static int flac_encode_init(AVCodecContext *avctx)
|
||||
|
||||
/* set compression option overrides from AVCodecContext */
|
||||
if(avctx->use_lpc >= 0) {
|
||||
s->options.use_lpc = !!avctx->use_lpc;
|
||||
s->options.use_lpc = clip(avctx->use_lpc, 0, 11);
|
||||
}
|
||||
av_log(avctx, AV_LOG_DEBUG, " use lpc: %s\n",
|
||||
s->options.use_lpc? "yes" : "no");
|
||||
if(s->options.use_lpc == 1)
|
||||
av_log(avctx, AV_LOG_DEBUG, " use lpc: Levinson-Durbin recursion with Welch window\n");
|
||||
else if(s->options.use_lpc > 1)
|
||||
av_log(avctx, AV_LOG_DEBUG, " use lpc: Cholesky factorization\n");
|
||||
|
||||
if(avctx->min_prediction_order >= 0) {
|
||||
if(s->options.use_lpc) {
|
||||
@ -725,21 +728,49 @@ static int estimate_best_order(double *ref, int max_order)
|
||||
*/
|
||||
static int lpc_calc_coefs(const int32_t *samples, int blocksize, int max_order,
|
||||
int precision, int32_t coefs[][MAX_LPC_ORDER],
|
||||
int *shift)
|
||||
int *shift, int use_lpc)
|
||||
{
|
||||
double autoc[MAX_LPC_ORDER+1];
|
||||
double ref[MAX_LPC_ORDER];
|
||||
double lpc[MAX_LPC_ORDER][MAX_LPC_ORDER];
|
||||
int i;
|
||||
int i, j, pass;
|
||||
int opt_order;
|
||||
|
||||
assert(max_order >= MIN_LPC_ORDER && max_order <= MAX_LPC_ORDER);
|
||||
|
||||
compute_autocorr(samples, blocksize, max_order+1, autoc);
|
||||
if(use_lpc == 1){
|
||||
compute_autocorr(samples, blocksize, max_order+1, autoc);
|
||||
|
||||
compute_lpc_coefs(autoc, max_order, lpc, ref);
|
||||
compute_lpc_coefs(autoc, max_order, lpc, ref);
|
||||
|
||||
opt_order = estimate_best_order(ref, max_order);
|
||||
opt_order = estimate_best_order(ref, max_order);
|
||||
}else{
|
||||
LLSModel m[2];
|
||||
double var[MAX_LPC_ORDER+1], eval;
|
||||
|
||||
for(pass=0; pass<use_lpc-1; pass++){
|
||||
av_init_lls(&m[pass&1], max_order/*3*/);
|
||||
|
||||
for(i=max_order; i<blocksize; i++){
|
||||
for(j=0; j<=max_order; j++)
|
||||
var[j]= samples[i-j];
|
||||
|
||||
if(pass){
|
||||
eval= av_evaluate_lls(&m[(pass-1)&1], var+1);
|
||||
eval= (512>>pass) + fabs(eval - var[0]);
|
||||
for(j=0; j<=max_order; j++)
|
||||
var[j]= samples[i-j] / sqrt(eval);
|
||||
}
|
||||
|
||||
av_update_lls(&m[pass&1], var, 1.0);
|
||||
}
|
||||
av_solve_lls(&m[pass&1], 0.001);
|
||||
opt_order= max_order; //FIXME
|
||||
}
|
||||
|
||||
for(i=0; i<opt_order; i++)
|
||||
lpc[opt_order-1][i]= m[(pass-1)&1].coeff[i];
|
||||
}
|
||||
|
||||
i = opt_order-1;
|
||||
quantize_lpc_coefs(lpc[i], i+1, precision, coefs[i], &shift[i]);
|
||||
@ -865,7 +896,7 @@ static int encode_residual(FlacEncodeContext *ctx, int ch)
|
||||
}
|
||||
|
||||
/* LPC */
|
||||
sub->order = lpc_calc_coefs(smp, n, max_order, precision, coefs, shift);
|
||||
sub->order = lpc_calc_coefs(smp, n, max_order, precision, coefs, shift, ctx->options.use_lpc);
|
||||
sub->type = FLAC_SUBFRAME_LPC;
|
||||
sub->type_code = sub->type | (sub->order-1);
|
||||
sub->shift = shift[sub->order-1];
|
||||
|
Loading…
Reference in New Issue
Block a user