cog/Frameworks/FLAC/flac-1.2.1/src/libFLAC/lpc.c

1378 lines
47 KiB
C

/* libFLAC - Free Lossless Audio Codec library
* Copyright (C) 2000,2001,2002,2003,2004,2005,2006,2007 Josh Coalson
*
* 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.
*/
#if HAVE_CONFIG_H
# include <config.h>
#endif
#include <math.h>
#include "FLAC/FLAC_assert.h"
#include "FLAC/format.h"
#include "private/bitmath.h"
#include "private/lpc.h"
#if defined DEBUG || defined FLAC__OVERFLOW_DETECT || defined FLAC__OVERFLOW_DETECT_VERBOSE
#include <stdio.h>
#endif
#ifndef FLAC__INTEGER_ONLY_LIBRARY
#ifndef M_LN2
/* math.h in VC++ doesn't seem to have this (how Microsoft is that?) */
#define M_LN2 0.69314718055994530942
#endif
/* OPT: #undef'ing this may improve the speed on some architectures */
#define FLAC__LPC_UNROLLED_FILTER_LOOPS
void FLAC__lpc_window_data(const FLAC__int32 in[], const FLAC__real window[], FLAC__real out[], unsigned data_len)
{
unsigned i;
for(i = 0; i < data_len; i++)
out[i] = in[i] * window[i];
}
void FLAC__lpc_compute_autocorrelation(const FLAC__real data[], unsigned data_len, unsigned lag, FLAC__real autoc[])
{
/* a readable, but slower, version */
#if 0
FLAC__real d;
unsigned i;
FLAC__ASSERT(lag > 0);
FLAC__ASSERT(lag <= data_len);
/*
* Technically we should subtract the mean first like so:
* for(i = 0; i < data_len; i++)
* data[i] -= mean;
* but it appears not to make enough of a difference to matter, and
* most signals are already closely centered around zero
*/
while(lag--) {
for(i = lag, d = 0.0; i < data_len; i++)
d += data[i] * data[i - lag];
autoc[lag] = d;
}
#endif
/*
* this version tends to run faster because of better data locality
* ('data_len' is usually much larger than 'lag')
*/
FLAC__real d;
unsigned sample, coeff;
const unsigned limit = data_len - lag;
FLAC__ASSERT(lag > 0);
FLAC__ASSERT(lag <= data_len);
for(coeff = 0; coeff < lag; coeff++)
autoc[coeff] = 0.0;
for(sample = 0; sample <= limit; sample++) {
d = data[sample];
for(coeff = 0; coeff < lag; coeff++)
autoc[coeff] += d * data[sample+coeff];
}
for(; sample < data_len; sample++) {
d = data[sample];
for(coeff = 0; coeff < data_len - sample; coeff++)
autoc[coeff] += d * data[sample+coeff];
}
}
void FLAC__lpc_compute_lp_coefficients(const FLAC__real autoc[], unsigned *max_order, FLAC__real lp_coeff[][FLAC__MAX_LPC_ORDER], FLAC__double error[])
{
unsigned i, j;
FLAC__double r, err, ref[FLAC__MAX_LPC_ORDER], lpc[FLAC__MAX_LPC_ORDER];
FLAC__ASSERT(0 != max_order);
FLAC__ASSERT(0 < *max_order);
FLAC__ASSERT(*max_order <= FLAC__MAX_LPC_ORDER);
FLAC__ASSERT(autoc[0] != 0.0);
err = autoc[0];
for(i = 0; i < *max_order; i++) {
/* Sum up this iteration's reflection coefficient. */
r = -autoc[i+1];
for(j = 0; j < i; j++)
r -= lpc[j] * autoc[i-j];
ref[i] = (r/=err);
/* Update LPC coefficients and total error. */
lpc[i]=r;
for(j = 0; j < (i>>1); j++) {
FLAC__double tmp = lpc[j];
lpc[j] += r * lpc[i-1-j];
lpc[i-1-j] += r * tmp;
}
if(i & 1)
lpc[j] += lpc[j] * r;
err *= (1.0 - r * r);
/* save this order */
for(j = 0; j <= i; j++)
lp_coeff[i][j] = (FLAC__real)(-lpc[j]); /* negate FIR filter coeff to get predictor coeff */
error[i] = err;
/* see SF bug #1601812 http://sourceforge.net/tracker/index.php?func=detail&aid=1601812&group_id=13478&atid=113478 */
if(err == 0.0) {
*max_order = i+1;
return;
}
}
}
int FLAC__lpc_quantize_coefficients(const FLAC__real lp_coeff[], unsigned order, unsigned precision, FLAC__int32 qlp_coeff[], int *shift)
{
unsigned i;
FLAC__double cmax;
FLAC__int32 qmax, qmin;
FLAC__ASSERT(precision > 0);
FLAC__ASSERT(precision >= FLAC__MIN_QLP_COEFF_PRECISION);
/* drop one bit for the sign; from here on out we consider only |lp_coeff[i]| */
precision--;
qmax = 1 << precision;
qmin = -qmax;
qmax--;
/* calc cmax = max( |lp_coeff[i]| ) */
cmax = 0.0;
for(i = 0; i < order; i++) {
const FLAC__double d = fabs(lp_coeff[i]);
if(d > cmax)
cmax = d;
}
if(cmax <= 0.0) {
/* => coefficients are all 0, which means our constant-detect didn't work */
return 2;
}
else {
const int max_shiftlimit = (1 << (FLAC__SUBFRAME_LPC_QLP_SHIFT_LEN-1)) - 1;
const int min_shiftlimit = -max_shiftlimit - 1;
int log2cmax;
(void)frexp(cmax, &log2cmax);
log2cmax--;
*shift = (int)precision - log2cmax - 1;
if(*shift > max_shiftlimit)
*shift = max_shiftlimit;
else if(*shift < min_shiftlimit)
return 1;
}
if(*shift >= 0) {
FLAC__double error = 0.0;
FLAC__int32 q;
for(i = 0; i < order; i++) {
error += lp_coeff[i] * (1 << *shift);
#if 1 /* unfortunately lround() is C99 */
if(error >= 0.0)
q = (FLAC__int32)(error + 0.5);
else
q = (FLAC__int32)(error - 0.5);
#else
q = lround(error);
#endif
#ifdef FLAC__OVERFLOW_DETECT
if(q > qmax+1) /* we expect q==qmax+1 occasionally due to rounding */
fprintf(stderr,"FLAC__lpc_quantize_coefficients: quantizer overflow: q>qmax %d>%d shift=%d cmax=%f precision=%u lpc[%u]=%f\n",q,qmax,*shift,cmax,precision+1,i,lp_coeff[i]);
else if(q < qmin)
fprintf(stderr,"FLAC__lpc_quantize_coefficients: quantizer overflow: q<qmin %d<%d shift=%d cmax=%f precision=%u lpc[%u]=%f\n",q,qmin,*shift,cmax,precision+1,i,lp_coeff[i]);
#endif
if(q > qmax)
q = qmax;
else if(q < qmin)
q = qmin;
error -= q;
qlp_coeff[i] = q;
}
}
/* negative shift is very rare but due to design flaw, negative shift is
* a NOP in the decoder, so it must be handled specially by scaling down
* coeffs
*/
else {
const int nshift = -(*shift);
FLAC__double error = 0.0;
FLAC__int32 q;
#ifdef DEBUG
fprintf(stderr,"FLAC__lpc_quantize_coefficients: negative shift=%d order=%u cmax=%f\n", *shift, order, cmax);
#endif
for(i = 0; i < order; i++) {
error += lp_coeff[i] / (1 << nshift);
#if 1 /* unfortunately lround() is C99 */
if(error >= 0.0)
q = (FLAC__int32)(error + 0.5);
else
q = (FLAC__int32)(error - 0.5);
#else
q = lround(error);
#endif
#ifdef FLAC__OVERFLOW_DETECT
if(q > qmax+1) /* we expect q==qmax+1 occasionally due to rounding */
fprintf(stderr,"FLAC__lpc_quantize_coefficients: quantizer overflow: q>qmax %d>%d shift=%d cmax=%f precision=%u lpc[%u]=%f\n",q,qmax,*shift,cmax,precision+1,i,lp_coeff[i]);
else if(q < qmin)
fprintf(stderr,"FLAC__lpc_quantize_coefficients: quantizer overflow: q<qmin %d<%d shift=%d cmax=%f precision=%u lpc[%u]=%f\n",q,qmin,*shift,cmax,precision+1,i,lp_coeff[i]);
#endif
if(q > qmax)
q = qmax;
else if(q < qmin)
q = qmin;
error -= q;
qlp_coeff[i] = q;
}
*shift = 0;
}
return 0;
}
void FLAC__lpc_compute_residual_from_qlp_coefficients(const FLAC__int32 *data, unsigned data_len, const FLAC__int32 qlp_coeff[], unsigned order, int lp_quantization, FLAC__int32 residual[])
#if defined(FLAC__OVERFLOW_DETECT) || !defined(FLAC__LPC_UNROLLED_FILTER_LOOPS)
{
FLAC__int64 sumo;
unsigned i, j;
FLAC__int32 sum;
const FLAC__int32 *history;
#ifdef FLAC__OVERFLOW_DETECT_VERBOSE
fprintf(stderr,"FLAC__lpc_compute_residual_from_qlp_coefficients: data_len=%d, order=%u, lpq=%d",data_len,order,lp_quantization);
for(i=0;i<order;i++)
fprintf(stderr,", q[%u]=%d",i,qlp_coeff[i]);
fprintf(stderr,"\n");
#endif
FLAC__ASSERT(order > 0);
for(i = 0; i < data_len; i++) {
sumo = 0;
sum = 0;
history = data;
for(j = 0; j < order; j++) {
sum += qlp_coeff[j] * (*(--history));
sumo += (FLAC__int64)qlp_coeff[j] * (FLAC__int64)(*history);
#if defined _MSC_VER
if(sumo > 2147483647I64 || sumo < -2147483648I64)
fprintf(stderr,"FLAC__lpc_compute_residual_from_qlp_coefficients: OVERFLOW, i=%u, j=%u, c=%d, d=%d, sumo=%I64d\n",i,j,qlp_coeff[j],*history,sumo);
#else
if(sumo > 2147483647ll || sumo < -2147483648ll)
fprintf(stderr,"FLAC__lpc_compute_residual_from_qlp_coefficients: OVERFLOW, i=%u, j=%u, c=%d, d=%d, sumo=%lld\n",i,j,qlp_coeff[j],*history,(long long)sumo);
#endif
}
*(residual++) = *(data++) - (sum >> lp_quantization);
}
/* Here's a slower but clearer version:
for(i = 0; i < data_len; i++) {
sum = 0;
for(j = 0; j < order; j++)
sum += qlp_coeff[j] * data[i-j-1];
residual[i] = data[i] - (sum >> lp_quantization);
}
*/
}
#else /* fully unrolled version for normal use */
{
int i;
FLAC__int32 sum;
FLAC__ASSERT(order > 0);
FLAC__ASSERT(order <= 32);
/*
* We do unique versions up to 12th order since that's the subset limit.
* Also they are roughly ordered to match frequency of occurrence to
* minimize branching.
*/
if(order <= 12) {
if(order > 8) {
if(order > 10) {
if(order == 12) {
for(i = 0; i < (int)data_len; i++) {
sum = 0;
sum += qlp_coeff[11] * data[i-12];
sum += qlp_coeff[10] * data[i-11];
sum += qlp_coeff[9] * data[i-10];
sum += qlp_coeff[8] * data[i-9];
sum += qlp_coeff[7] * data[i-8];
sum += qlp_coeff[6] * data[i-7];
sum += qlp_coeff[5] * data[i-6];
sum += qlp_coeff[4] * data[i-5];
sum += qlp_coeff[3] * data[i-4];
sum += qlp_coeff[2] * data[i-3];
sum += qlp_coeff[1] * data[i-2];
sum += qlp_coeff[0] * data[i-1];
residual[i] = data[i] - (sum >> lp_quantization);
}
}
else { /* order == 11 */
for(i = 0; i < (int)data_len; i++) {
sum = 0;
sum += qlp_coeff[10] * data[i-11];
sum += qlp_coeff[9] * data[i-10];
sum += qlp_coeff[8] * data[i-9];
sum += qlp_coeff[7] * data[i-8];
sum += qlp_coeff[6] * data[i-7];
sum += qlp_coeff[5] * data[i-6];
sum += qlp_coeff[4] * data[i-5];
sum += qlp_coeff[3] * data[i-4];
sum += qlp_coeff[2] * data[i-3];
sum += qlp_coeff[1] * data[i-2];
sum += qlp_coeff[0] * data[i-1];
residual[i] = data[i] - (sum >> lp_quantization);
}
}
}
else {
if(order == 10) {
for(i = 0; i < (int)data_len; i++) {
sum = 0;
sum += qlp_coeff[9] * data[i-10];
sum += qlp_coeff[8] * data[i-9];
sum += qlp_coeff[7] * data[i-8];
sum += qlp_coeff[6] * data[i-7];
sum += qlp_coeff[5] * data[i-6];
sum += qlp_coeff[4] * data[i-5];
sum += qlp_coeff[3] * data[i-4];
sum += qlp_coeff[2] * data[i-3];
sum += qlp_coeff[1] * data[i-2];
sum += qlp_coeff[0] * data[i-1];
residual[i] = data[i] - (sum >> lp_quantization);
}
}
else { /* order == 9 */
for(i = 0; i < (int)data_len; i++) {
sum = 0;
sum += qlp_coeff[8] * data[i-9];
sum += qlp_coeff[7] * data[i-8];
sum += qlp_coeff[6] * data[i-7];
sum += qlp_coeff[5] * data[i-6];
sum += qlp_coeff[4] * data[i-5];
sum += qlp_coeff[3] * data[i-4];
sum += qlp_coeff[2] * data[i-3];
sum += qlp_coeff[1] * data[i-2];
sum += qlp_coeff[0] * data[i-1];
residual[i] = data[i] - (sum >> lp_quantization);
}
}
}
}
else if(order > 4) {
if(order > 6) {
if(order == 8) {
for(i = 0; i < (int)data_len; i++) {
sum = 0;
sum += qlp_coeff[7] * data[i-8];
sum += qlp_coeff[6] * data[i-7];
sum += qlp_coeff[5] * data[i-6];
sum += qlp_coeff[4] * data[i-5];
sum += qlp_coeff[3] * data[i-4];
sum += qlp_coeff[2] * data[i-3];
sum += qlp_coeff[1] * data[i-2];
sum += qlp_coeff[0] * data[i-1];
residual[i] = data[i] - (sum >> lp_quantization);
}
}
else { /* order == 7 */
for(i = 0; i < (int)data_len; i++) {
sum = 0;
sum += qlp_coeff[6] * data[i-7];
sum += qlp_coeff[5] * data[i-6];
sum += qlp_coeff[4] * data[i-5];
sum += qlp_coeff[3] * data[i-4];
sum += qlp_coeff[2] * data[i-3];
sum += qlp_coeff[1] * data[i-2];
sum += qlp_coeff[0] * data[i-1];
residual[i] = data[i] - (sum >> lp_quantization);
}
}
}
else {
if(order == 6) {
for(i = 0; i < (int)data_len; i++) {
sum = 0;
sum += qlp_coeff[5] * data[i-6];
sum += qlp_coeff[4] * data[i-5];
sum += qlp_coeff[3] * data[i-4];
sum += qlp_coeff[2] * data[i-3];
sum += qlp_coeff[1] * data[i-2];
sum += qlp_coeff[0] * data[i-1];
residual[i] = data[i] - (sum >> lp_quantization);
}
}
else { /* order == 5 */
for(i = 0; i < (int)data_len; i++) {
sum = 0;
sum += qlp_coeff[4] * data[i-5];
sum += qlp_coeff[3] * data[i-4];
sum += qlp_coeff[2] * data[i-3];
sum += qlp_coeff[1] * data[i-2];
sum += qlp_coeff[0] * data[i-1];
residual[i] = data[i] - (sum >> lp_quantization);
}
}
}
}
else {
if(order > 2) {
if(order == 4) {
for(i = 0; i < (int)data_len; i++) {
sum = 0;
sum += qlp_coeff[3] * data[i-4];
sum += qlp_coeff[2] * data[i-3];
sum += qlp_coeff[1] * data[i-2];
sum += qlp_coeff[0] * data[i-1];
residual[i] = data[i] - (sum >> lp_quantization);
}
}
else { /* order == 3 */
for(i = 0; i < (int)data_len; i++) {
sum = 0;
sum += qlp_coeff[2] * data[i-3];
sum += qlp_coeff[1] * data[i-2];
sum += qlp_coeff[0] * data[i-1];
residual[i] = data[i] - (sum >> lp_quantization);
}
}
}
else {
if(order == 2) {
for(i = 0; i < (int)data_len; i++) {
sum = 0;
sum += qlp_coeff[1] * data[i-2];
sum += qlp_coeff[0] * data[i-1];
residual[i] = data[i] - (sum >> lp_quantization);
}
}
else { /* order == 1 */
for(i = 0; i < (int)data_len; i++)
residual[i] = data[i] - ((qlp_coeff[0] * data[i-1]) >> lp_quantization);
}
}
}
}
else { /* order > 12 */
for(i = 0; i < (int)data_len; i++) {
sum = 0;
switch(order) {
case 32: sum += qlp_coeff[31] * data[i-32];
case 31: sum += qlp_coeff[30] * data[i-31];
case 30: sum += qlp_coeff[29] * data[i-30];
case 29: sum += qlp_coeff[28] * data[i-29];
case 28: sum += qlp_coeff[27] * data[i-28];
case 27: sum += qlp_coeff[26] * data[i-27];
case 26: sum += qlp_coeff[25] * data[i-26];
case 25: sum += qlp_coeff[24] * data[i-25];
case 24: sum += qlp_coeff[23] * data[i-24];
case 23: sum += qlp_coeff[22] * data[i-23];
case 22: sum += qlp_coeff[21] * data[i-22];
case 21: sum += qlp_coeff[20] * data[i-21];
case 20: sum += qlp_coeff[19] * data[i-20];
case 19: sum += qlp_coeff[18] * data[i-19];
case 18: sum += qlp_coeff[17] * data[i-18];
case 17: sum += qlp_coeff[16] * data[i-17];
case 16: sum += qlp_coeff[15] * data[i-16];
case 15: sum += qlp_coeff[14] * data[i-15];
case 14: sum += qlp_coeff[13] * data[i-14];
case 13: sum += qlp_coeff[12] * data[i-13];
sum += qlp_coeff[11] * data[i-12];
sum += qlp_coeff[10] * data[i-11];
sum += qlp_coeff[ 9] * data[i-10];
sum += qlp_coeff[ 8] * data[i- 9];
sum += qlp_coeff[ 7] * data[i- 8];
sum += qlp_coeff[ 6] * data[i- 7];
sum += qlp_coeff[ 5] * data[i- 6];
sum += qlp_coeff[ 4] * data[i- 5];
sum += qlp_coeff[ 3] * data[i- 4];
sum += qlp_coeff[ 2] * data[i- 3];
sum += qlp_coeff[ 1] * data[i- 2];
sum += qlp_coeff[ 0] * data[i- 1];
}
residual[i] = data[i] - (sum >> lp_quantization);
}
}
}
#endif
void FLAC__lpc_compute_residual_from_qlp_coefficients_wide(const FLAC__int32 *data, unsigned data_len, const FLAC__int32 qlp_coeff[], unsigned order, int lp_quantization, FLAC__int32 residual[])
#if defined(FLAC__OVERFLOW_DETECT) || !defined(FLAC__LPC_UNROLLED_FILTER_LOOPS)
{
unsigned i, j;
FLAC__int64 sum;
const FLAC__int32 *history;
#ifdef FLAC__OVERFLOW_DETECT_VERBOSE
fprintf(stderr,"FLAC__lpc_compute_residual_from_qlp_coefficients_wide: data_len=%d, order=%u, lpq=%d",data_len,order,lp_quantization);
for(i=0;i<order;i++)
fprintf(stderr,", q[%u]=%d",i,qlp_coeff[i]);
fprintf(stderr,"\n");
#endif
FLAC__ASSERT(order > 0);
for(i = 0; i < data_len; i++) {
sum = 0;
history = data;
for(j = 0; j < order; j++)
sum += (FLAC__int64)qlp_coeff[j] * (FLAC__int64)(*(--history));
if(FLAC__bitmath_silog2_wide(sum >> lp_quantization) > 32) {
#if defined _MSC_VER
fprintf(stderr,"FLAC__lpc_compute_residual_from_qlp_coefficients_wide: OVERFLOW, i=%u, sum=%I64d\n", i, sum >> lp_quantization);
#else
fprintf(stderr,"FLAC__lpc_compute_residual_from_qlp_coefficients_wide: OVERFLOW, i=%u, sum=%lld\n", i, (long long)(sum >> lp_quantization));
#endif
break;
}
if(FLAC__bitmath_silog2_wide((FLAC__int64)(*data) - (sum >> lp_quantization)) > 32) {
#if defined _MSC_VER
fprintf(stderr,"FLAC__lpc_compute_residual_from_qlp_coefficients_wide: OVERFLOW, i=%u, data=%d, sum=%I64d, residual=%I64d\n", i, *data, sum >> lp_quantization, (FLAC__int64)(*data) - (sum >> lp_quantization));
#else
fprintf(stderr,"FLAC__lpc_compute_residual_from_qlp_coefficients_wide: OVERFLOW, i=%u, data=%d, sum=%lld, residual=%lld\n", i, *data, (long long)(sum >> lp_quantization), (long long)((FLAC__int64)(*data) - (sum >> lp_quantization)));
#endif
break;
}
*(residual++) = *(data++) - (FLAC__int32)(sum >> lp_quantization);
}
}
#else /* fully unrolled version for normal use */
{
int i;
FLAC__int64 sum;
FLAC__ASSERT(order > 0);
FLAC__ASSERT(order <= 32);
/*
* We do unique versions up to 12th order since that's the subset limit.
* Also they are roughly ordered to match frequency of occurrence to
* minimize branching.
*/
if(order <= 12) {
if(order > 8) {
if(order > 10) {
if(order == 12) {
for(i = 0; i < (int)data_len; i++) {
sum = 0;
sum += qlp_coeff[11] * (FLAC__int64)data[i-12];
sum += qlp_coeff[10] * (FLAC__int64)data[i-11];
sum += qlp_coeff[9] * (FLAC__int64)data[i-10];
sum += qlp_coeff[8] * (FLAC__int64)data[i-9];
sum += qlp_coeff[7] * (FLAC__int64)data[i-8];
sum += qlp_coeff[6] * (FLAC__int64)data[i-7];
sum += qlp_coeff[5] * (FLAC__int64)data[i-6];
sum += qlp_coeff[4] * (FLAC__int64)data[i-5];
sum += qlp_coeff[3] * (FLAC__int64)data[i-4];
sum += qlp_coeff[2] * (FLAC__int64)data[i-3];
sum += qlp_coeff[1] * (FLAC__int64)data[i-2];
sum += qlp_coeff[0] * (FLAC__int64)data[i-1];
residual[i] = data[i] - (FLAC__int32)(sum >> lp_quantization);
}
}
else { /* order == 11 */
for(i = 0; i < (int)data_len; i++) {
sum = 0;
sum += qlp_coeff[10] * (FLAC__int64)data[i-11];
sum += qlp_coeff[9] * (FLAC__int64)data[i-10];
sum += qlp_coeff[8] * (FLAC__int64)data[i-9];
sum += qlp_coeff[7] * (FLAC__int64)data[i-8];
sum += qlp_coeff[6] * (FLAC__int64)data[i-7];
sum += qlp_coeff[5] * (FLAC__int64)data[i-6];
sum += qlp_coeff[4] * (FLAC__int64)data[i-5];
sum += qlp_coeff[3] * (FLAC__int64)data[i-4];
sum += qlp_coeff[2] * (FLAC__int64)data[i-3];
sum += qlp_coeff[1] * (FLAC__int64)data[i-2];
sum += qlp_coeff[0] * (FLAC__int64)data[i-1];
residual[i] = data[i] - (FLAC__int32)(sum >> lp_quantization);
}
}
}
else {
if(order == 10) {
for(i = 0; i < (int)data_len; i++) {
sum = 0;
sum += qlp_coeff[9] * (FLAC__int64)data[i-10];
sum += qlp_coeff[8] * (FLAC__int64)data[i-9];
sum += qlp_coeff[7] * (FLAC__int64)data[i-8];
sum += qlp_coeff[6] * (FLAC__int64)data[i-7];
sum += qlp_coeff[5] * (FLAC__int64)data[i-6];
sum += qlp_coeff[4] * (FLAC__int64)data[i-5];
sum += qlp_coeff[3] * (FLAC__int64)data[i-4];
sum += qlp_coeff[2] * (FLAC__int64)data[i-3];
sum += qlp_coeff[1] * (FLAC__int64)data[i-2];
sum += qlp_coeff[0] * (FLAC__int64)data[i-1];
residual[i] = data[i] - (FLAC__int32)(sum >> lp_quantization);
}
}
else { /* order == 9 */
for(i = 0; i < (int)data_len; i++) {
sum = 0;
sum += qlp_coeff[8] * (FLAC__int64)data[i-9];
sum += qlp_coeff[7] * (FLAC__int64)data[i-8];
sum += qlp_coeff[6] * (FLAC__int64)data[i-7];
sum += qlp_coeff[5] * (FLAC__int64)data[i-6];
sum += qlp_coeff[4] * (FLAC__int64)data[i-5];
sum += qlp_coeff[3] * (FLAC__int64)data[i-4];
sum += qlp_coeff[2] * (FLAC__int64)data[i-3];
sum += qlp_coeff[1] * (FLAC__int64)data[i-2];
sum += qlp_coeff[0] * (FLAC__int64)data[i-1];
residual[i] = data[i] - (FLAC__int32)(sum >> lp_quantization);
}
}
}
}
else if(order > 4) {
if(order > 6) {
if(order == 8) {
for(i = 0; i < (int)data_len; i++) {
sum = 0;
sum += qlp_coeff[7] * (FLAC__int64)data[i-8];
sum += qlp_coeff[6] * (FLAC__int64)data[i-7];
sum += qlp_coeff[5] * (FLAC__int64)data[i-6];
sum += qlp_coeff[4] * (FLAC__int64)data[i-5];
sum += qlp_coeff[3] * (FLAC__int64)data[i-4];
sum += qlp_coeff[2] * (FLAC__int64)data[i-3];
sum += qlp_coeff[1] * (FLAC__int64)data[i-2];
sum += qlp_coeff[0] * (FLAC__int64)data[i-1];
residual[i] = data[i] - (FLAC__int32)(sum >> lp_quantization);
}
}
else { /* order == 7 */
for(i = 0; i < (int)data_len; i++) {
sum = 0;
sum += qlp_coeff[6] * (FLAC__int64)data[i-7];
sum += qlp_coeff[5] * (FLAC__int64)data[i-6];
sum += qlp_coeff[4] * (FLAC__int64)data[i-5];
sum += qlp_coeff[3] * (FLAC__int64)data[i-4];
sum += qlp_coeff[2] * (FLAC__int64)data[i-3];
sum += qlp_coeff[1] * (FLAC__int64)data[i-2];
sum += qlp_coeff[0] * (FLAC__int64)data[i-1];
residual[i] = data[i] - (FLAC__int32)(sum >> lp_quantization);
}
}
}
else {
if(order == 6) {
for(i = 0; i < (int)data_len; i++) {
sum = 0;
sum += qlp_coeff[5] * (FLAC__int64)data[i-6];
sum += qlp_coeff[4] * (FLAC__int64)data[i-5];
sum += qlp_coeff[3] * (FLAC__int64)data[i-4];
sum += qlp_coeff[2] * (FLAC__int64)data[i-3];
sum += qlp_coeff[1] * (FLAC__int64)data[i-2];
sum += qlp_coeff[0] * (FLAC__int64)data[i-1];
residual[i] = data[i] - (FLAC__int32)(sum >> lp_quantization);
}
}
else { /* order == 5 */
for(i = 0; i < (int)data_len; i++) {
sum = 0;
sum += qlp_coeff[4] * (FLAC__int64)data[i-5];
sum += qlp_coeff[3] * (FLAC__int64)data[i-4];
sum += qlp_coeff[2] * (FLAC__int64)data[i-3];
sum += qlp_coeff[1] * (FLAC__int64)data[i-2];
sum += qlp_coeff[0] * (FLAC__int64)data[i-1];
residual[i] = data[i] - (FLAC__int32)(sum >> lp_quantization);
}
}
}
}
else {
if(order > 2) {
if(order == 4) {
for(i = 0; i < (int)data_len; i++) {
sum = 0;
sum += qlp_coeff[3] * (FLAC__int64)data[i-4];
sum += qlp_coeff[2] * (FLAC__int64)data[i-3];
sum += qlp_coeff[1] * (FLAC__int64)data[i-2];
sum += qlp_coeff[0] * (FLAC__int64)data[i-1];
residual[i] = data[i] - (FLAC__int32)(sum >> lp_quantization);
}
}
else { /* order == 3 */
for(i = 0; i < (int)data_len; i++) {
sum = 0;
sum += qlp_coeff[2] * (FLAC__int64)data[i-3];
sum += qlp_coeff[1] * (FLAC__int64)data[i-2];
sum += qlp_coeff[0] * (FLAC__int64)data[i-1];
residual[i] = data[i] - (FLAC__int32)(sum >> lp_quantization);
}
}
}
else {
if(order == 2) {
for(i = 0; i < (int)data_len; i++) {
sum = 0;
sum += qlp_coeff[1] * (FLAC__int64)data[i-2];
sum += qlp_coeff[0] * (FLAC__int64)data[i-1];
residual[i] = data[i] - (FLAC__int32)(sum >> lp_quantization);
}
}
else { /* order == 1 */
for(i = 0; i < (int)data_len; i++)
residual[i] = data[i] - (FLAC__int32)((qlp_coeff[0] * (FLAC__int64)data[i-1]) >> lp_quantization);
}
}
}
}
else { /* order > 12 */
for(i = 0; i < (int)data_len; i++) {
sum = 0;
switch(order) {
case 32: sum += qlp_coeff[31] * (FLAC__int64)data[i-32];
case 31: sum += qlp_coeff[30] * (FLAC__int64)data[i-31];
case 30: sum += qlp_coeff[29] * (FLAC__int64)data[i-30];
case 29: sum += qlp_coeff[28] * (FLAC__int64)data[i-29];
case 28: sum += qlp_coeff[27] * (FLAC__int64)data[i-28];
case 27: sum += qlp_coeff[26] * (FLAC__int64)data[i-27];
case 26: sum += qlp_coeff[25] * (FLAC__int64)data[i-26];
case 25: sum += qlp_coeff[24] * (FLAC__int64)data[i-25];
case 24: sum += qlp_coeff[23] * (FLAC__int64)data[i-24];
case 23: sum += qlp_coeff[22] * (FLAC__int64)data[i-23];
case 22: sum += qlp_coeff[21] * (FLAC__int64)data[i-22];
case 21: sum += qlp_coeff[20] * (FLAC__int64)data[i-21];
case 20: sum += qlp_coeff[19] * (FLAC__int64)data[i-20];
case 19: sum += qlp_coeff[18] * (FLAC__int64)data[i-19];
case 18: sum += qlp_coeff[17] * (FLAC__int64)data[i-18];
case 17: sum += qlp_coeff[16] * (FLAC__int64)data[i-17];
case 16: sum += qlp_coeff[15] * (FLAC__int64)data[i-16];
case 15: sum += qlp_coeff[14] * (FLAC__int64)data[i-15];
case 14: sum += qlp_coeff[13] * (FLAC__int64)data[i-14];
case 13: sum += qlp_coeff[12] * (FLAC__int64)data[i-13];
sum += qlp_coeff[11] * (FLAC__int64)data[i-12];
sum += qlp_coeff[10] * (FLAC__int64)data[i-11];
sum += qlp_coeff[ 9] * (FLAC__int64)data[i-10];
sum += qlp_coeff[ 8] * (FLAC__int64)data[i- 9];
sum += qlp_coeff[ 7] * (FLAC__int64)data[i- 8];
sum += qlp_coeff[ 6] * (FLAC__int64)data[i- 7];
sum += qlp_coeff[ 5] * (FLAC__int64)data[i- 6];
sum += qlp_coeff[ 4] * (FLAC__int64)data[i- 5];
sum += qlp_coeff[ 3] * (FLAC__int64)data[i- 4];
sum += qlp_coeff[ 2] * (FLAC__int64)data[i- 3];
sum += qlp_coeff[ 1] * (FLAC__int64)data[i- 2];
sum += qlp_coeff[ 0] * (FLAC__int64)data[i- 1];
}
residual[i] = data[i] - (FLAC__int32)(sum >> lp_quantization);
}
}
}
#endif
#endif /* !defined FLAC__INTEGER_ONLY_LIBRARY */
void FLAC__lpc_restore_signal(const FLAC__int32 residual[], unsigned data_len, const FLAC__int32 qlp_coeff[], unsigned order, int lp_quantization, FLAC__int32 data[])
#if defined(FLAC__OVERFLOW_DETECT) || !defined(FLAC__LPC_UNROLLED_FILTER_LOOPS)
{
FLAC__int64 sumo;
unsigned i, j;
FLAC__int32 sum;
const FLAC__int32 *r = residual, *history;
#ifdef FLAC__OVERFLOW_DETECT_VERBOSE
fprintf(stderr,"FLAC__lpc_restore_signal: data_len=%d, order=%u, lpq=%d",data_len,order,lp_quantization);
for(i=0;i<order;i++)
fprintf(stderr,", q[%u]=%d",i,qlp_coeff[i]);
fprintf(stderr,"\n");
#endif
FLAC__ASSERT(order > 0);
for(i = 0; i < data_len; i++) {
sumo = 0;
sum = 0;
history = data;
for(j = 0; j < order; j++) {
sum += qlp_coeff[j] * (*(--history));
sumo += (FLAC__int64)qlp_coeff[j] * (FLAC__int64)(*history);
#if defined _MSC_VER
if(sumo > 2147483647I64 || sumo < -2147483648I64)
fprintf(stderr,"FLAC__lpc_restore_signal: OVERFLOW, i=%u, j=%u, c=%d, d=%d, sumo=%I64d\n",i,j,qlp_coeff[j],*history,sumo);
#else
if(sumo > 2147483647ll || sumo < -2147483648ll)
fprintf(stderr,"FLAC__lpc_restore_signal: OVERFLOW, i=%u, j=%u, c=%d, d=%d, sumo=%lld\n",i,j,qlp_coeff[j],*history,(long long)sumo);
#endif
}
*(data++) = *(r++) + (sum >> lp_quantization);
}
/* Here's a slower but clearer version:
for(i = 0; i < data_len; i++) {
sum = 0;
for(j = 0; j < order; j++)
sum += qlp_coeff[j] * data[i-j-1];
data[i] = residual[i] + (sum >> lp_quantization);
}
*/
}
#else /* fully unrolled version for normal use */
{
int i;
FLAC__int32 sum;
FLAC__ASSERT(order > 0);
FLAC__ASSERT(order <= 32);
/*
* We do unique versions up to 12th order since that's the subset limit.
* Also they are roughly ordered to match frequency of occurrence to
* minimize branching.
*/
if(order <= 12) {
if(order > 8) {
if(order > 10) {
if(order == 12) {
for(i = 0; i < (int)data_len; i++) {
sum = 0;
sum += qlp_coeff[11] * data[i-12];
sum += qlp_coeff[10] * data[i-11];
sum += qlp_coeff[9] * data[i-10];
sum += qlp_coeff[8] * data[i-9];
sum += qlp_coeff[7] * data[i-8];
sum += qlp_coeff[6] * data[i-7];
sum += qlp_coeff[5] * data[i-6];
sum += qlp_coeff[4] * data[i-5];
sum += qlp_coeff[3] * data[i-4];
sum += qlp_coeff[2] * data[i-3];
sum += qlp_coeff[1] * data[i-2];
sum += qlp_coeff[0] * data[i-1];
data[i] = residual[i] + (sum >> lp_quantization);
}
}
else { /* order == 11 */
for(i = 0; i < (int)data_len; i++) {
sum = 0;
sum += qlp_coeff[10] * data[i-11];
sum += qlp_coeff[9] * data[i-10];
sum += qlp_coeff[8] * data[i-9];
sum += qlp_coeff[7] * data[i-8];
sum += qlp_coeff[6] * data[i-7];
sum += qlp_coeff[5] * data[i-6];
sum += qlp_coeff[4] * data[i-5];
sum += qlp_coeff[3] * data[i-4];
sum += qlp_coeff[2] * data[i-3];
sum += qlp_coeff[1] * data[i-2];
sum += qlp_coeff[0] * data[i-1];
data[i] = residual[i] + (sum >> lp_quantization);
}
}
}
else {
if(order == 10) {
for(i = 0; i < (int)data_len; i++) {
sum = 0;
sum += qlp_coeff[9] * data[i-10];
sum += qlp_coeff[8] * data[i-9];
sum += qlp_coeff[7] * data[i-8];
sum += qlp_coeff[6] * data[i-7];
sum += qlp_coeff[5] * data[i-6];
sum += qlp_coeff[4] * data[i-5];
sum += qlp_coeff[3] * data[i-4];
sum += qlp_coeff[2] * data[i-3];
sum += qlp_coeff[1] * data[i-2];
sum += qlp_coeff[0] * data[i-1];
data[i] = residual[i] + (sum >> lp_quantization);
}
}
else { /* order == 9 */
for(i = 0; i < (int)data_len; i++) {
sum = 0;
sum += qlp_coeff[8] * data[i-9];
sum += qlp_coeff[7] * data[i-8];
sum += qlp_coeff[6] * data[i-7];
sum += qlp_coeff[5] * data[i-6];
sum += qlp_coeff[4] * data[i-5];
sum += qlp_coeff[3] * data[i-4];
sum += qlp_coeff[2] * data[i-3];
sum += qlp_coeff[1] * data[i-2];
sum += qlp_coeff[0] * data[i-1];
data[i] = residual[i] + (sum >> lp_quantization);
}
}
}
}
else if(order > 4) {
if(order > 6) {
if(order == 8) {
for(i = 0; i < (int)data_len; i++) {
sum = 0;
sum += qlp_coeff[7] * data[i-8];
sum += qlp_coeff[6] * data[i-7];
sum += qlp_coeff[5] * data[i-6];
sum += qlp_coeff[4] * data[i-5];
sum += qlp_coeff[3] * data[i-4];
sum += qlp_coeff[2] * data[i-3];
sum += qlp_coeff[1] * data[i-2];
sum += qlp_coeff[0] * data[i-1];
data[i] = residual[i] + (sum >> lp_quantization);
}
}
else { /* order == 7 */
for(i = 0; i < (int)data_len; i++) {
sum = 0;
sum += qlp_coeff[6] * data[i-7];
sum += qlp_coeff[5] * data[i-6];
sum += qlp_coeff[4] * data[i-5];
sum += qlp_coeff[3] * data[i-4];
sum += qlp_coeff[2] * data[i-3];
sum += qlp_coeff[1] * data[i-2];
sum += qlp_coeff[0] * data[i-1];
data[i] = residual[i] + (sum >> lp_quantization);
}
}
}
else {
if(order == 6) {
for(i = 0; i < (int)data_len; i++) {
sum = 0;
sum += qlp_coeff[5] * data[i-6];
sum += qlp_coeff[4] * data[i-5];
sum += qlp_coeff[3] * data[i-4];
sum += qlp_coeff[2] * data[i-3];
sum += qlp_coeff[1] * data[i-2];
sum += qlp_coeff[0] * data[i-1];
data[i] = residual[i] + (sum >> lp_quantization);
}
}
else { /* order == 5 */
for(i = 0; i < (int)data_len; i++) {
sum = 0;
sum += qlp_coeff[4] * data[i-5];
sum += qlp_coeff[3] * data[i-4];
sum += qlp_coeff[2] * data[i-3];
sum += qlp_coeff[1] * data[i-2];
sum += qlp_coeff[0] * data[i-1];
data[i] = residual[i] + (sum >> lp_quantization);
}
}
}
}
else {
if(order > 2) {
if(order == 4) {
for(i = 0; i < (int)data_len; i++) {
sum = 0;
sum += qlp_coeff[3] * data[i-4];
sum += qlp_coeff[2] * data[i-3];
sum += qlp_coeff[1] * data[i-2];
sum += qlp_coeff[0] * data[i-1];
data[i] = residual[i] + (sum >> lp_quantization);
}
}
else { /* order == 3 */
for(i = 0; i < (int)data_len; i++) {
sum = 0;
sum += qlp_coeff[2] * data[i-3];
sum += qlp_coeff[1] * data[i-2];
sum += qlp_coeff[0] * data[i-1];
data[i] = residual[i] + (sum >> lp_quantization);
}
}
}
else {
if(order == 2) {
for(i = 0; i < (int)data_len; i++) {
sum = 0;
sum += qlp_coeff[1] * data[i-2];
sum += qlp_coeff[0] * data[i-1];
data[i] = residual[i] + (sum >> lp_quantization);
}
}
else { /* order == 1 */
for(i = 0; i < (int)data_len; i++)
data[i] = residual[i] + ((qlp_coeff[0] * data[i-1]) >> lp_quantization);
}
}
}
}
else { /* order > 12 */
for(i = 0; i < (int)data_len; i++) {
sum = 0;
switch(order) {
case 32: sum += qlp_coeff[31] * data[i-32];
case 31: sum += qlp_coeff[30] * data[i-31];
case 30: sum += qlp_coeff[29] * data[i-30];
case 29: sum += qlp_coeff[28] * data[i-29];
case 28: sum += qlp_coeff[27] * data[i-28];
case 27: sum += qlp_coeff[26] * data[i-27];
case 26: sum += qlp_coeff[25] * data[i-26];
case 25: sum += qlp_coeff[24] * data[i-25];
case 24: sum += qlp_coeff[23] * data[i-24];
case 23: sum += qlp_coeff[22] * data[i-23];
case 22: sum += qlp_coeff[21] * data[i-22];
case 21: sum += qlp_coeff[20] * data[i-21];
case 20: sum += qlp_coeff[19] * data[i-20];
case 19: sum += qlp_coeff[18] * data[i-19];
case 18: sum += qlp_coeff[17] * data[i-18];
case 17: sum += qlp_coeff[16] * data[i-17];
case 16: sum += qlp_coeff[15] * data[i-16];
case 15: sum += qlp_coeff[14] * data[i-15];
case 14: sum += qlp_coeff[13] * data[i-14];
case 13: sum += qlp_coeff[12] * data[i-13];
sum += qlp_coeff[11] * data[i-12];
sum += qlp_coeff[10] * data[i-11];
sum += qlp_coeff[ 9] * data[i-10];
sum += qlp_coeff[ 8] * data[i- 9];
sum += qlp_coeff[ 7] * data[i- 8];
sum += qlp_coeff[ 6] * data[i- 7];
sum += qlp_coeff[ 5] * data[i- 6];
sum += qlp_coeff[ 4] * data[i- 5];
sum += qlp_coeff[ 3] * data[i- 4];
sum += qlp_coeff[ 2] * data[i- 3];
sum += qlp_coeff[ 1] * data[i- 2];
sum += qlp_coeff[ 0] * data[i- 1];
}
data[i] = residual[i] + (sum >> lp_quantization);
}
}
}
#endif
void FLAC__lpc_restore_signal_wide(const FLAC__int32 residual[], unsigned data_len, const FLAC__int32 qlp_coeff[], unsigned order, int lp_quantization, FLAC__int32 data[])
#if defined(FLAC__OVERFLOW_DETECT) || !defined(FLAC__LPC_UNROLLED_FILTER_LOOPS)
{
unsigned i, j;
FLAC__int64 sum;
const FLAC__int32 *r = residual, *history;
#ifdef FLAC__OVERFLOW_DETECT_VERBOSE
fprintf(stderr,"FLAC__lpc_restore_signal_wide: data_len=%d, order=%u, lpq=%d",data_len,order,lp_quantization);
for(i=0;i<order;i++)
fprintf(stderr,", q[%u]=%d",i,qlp_coeff[i]);
fprintf(stderr,"\n");
#endif
FLAC__ASSERT(order > 0);
for(i = 0; i < data_len; i++) {
sum = 0;
history = data;
for(j = 0; j < order; j++)
sum += (FLAC__int64)qlp_coeff[j] * (FLAC__int64)(*(--history));
if(FLAC__bitmath_silog2_wide(sum >> lp_quantization) > 32) {
#ifdef _MSC_VER
fprintf(stderr,"FLAC__lpc_restore_signal_wide: OVERFLOW, i=%u, sum=%I64d\n", i, sum >> lp_quantization);
#else
fprintf(stderr,"FLAC__lpc_restore_signal_wide: OVERFLOW, i=%u, sum=%lld\n", i, (long long)(sum >> lp_quantization));
#endif
break;
}
if(FLAC__bitmath_silog2_wide((FLAC__int64)(*r) + (sum >> lp_quantization)) > 32) {
#ifdef _MSC_VER
fprintf(stderr,"FLAC__lpc_restore_signal_wide: OVERFLOW, i=%u, residual=%d, sum=%I64d, data=%I64d\n", i, *r, sum >> lp_quantization, (FLAC__int64)(*r) + (sum >> lp_quantization));
#else
fprintf(stderr,"FLAC__lpc_restore_signal_wide: OVERFLOW, i=%u, residual=%d, sum=%lld, data=%lld\n", i, *r, (long long)(sum >> lp_quantization), (long long)((FLAC__int64)(*r) + (sum >> lp_quantization)));
#endif
break;
}
*(data++) = *(r++) + (FLAC__int32)(sum >> lp_quantization);
}
}
#else /* fully unrolled version for normal use */
{
int i;
FLAC__int64 sum;
FLAC__ASSERT(order > 0);
FLAC__ASSERT(order <= 32);
/*
* We do unique versions up to 12th order since that's the subset limit.
* Also they are roughly ordered to match frequency of occurrence to
* minimize branching.
*/
if(order <= 12) {
if(order > 8) {
if(order > 10) {
if(order == 12) {
for(i = 0; i < (int)data_len; i++) {
sum = 0;
sum += qlp_coeff[11] * (FLAC__int64)data[i-12];
sum += qlp_coeff[10] * (FLAC__int64)data[i-11];
sum += qlp_coeff[9] * (FLAC__int64)data[i-10];
sum += qlp_coeff[8] * (FLAC__int64)data[i-9];
sum += qlp_coeff[7] * (FLAC__int64)data[i-8];
sum += qlp_coeff[6] * (FLAC__int64)data[i-7];
sum += qlp_coeff[5] * (FLAC__int64)data[i-6];
sum += qlp_coeff[4] * (FLAC__int64)data[i-5];
sum += qlp_coeff[3] * (FLAC__int64)data[i-4];
sum += qlp_coeff[2] * (FLAC__int64)data[i-3];
sum += qlp_coeff[1] * (FLAC__int64)data[i-2];
sum += qlp_coeff[0] * (FLAC__int64)data[i-1];
data[i] = residual[i] + (FLAC__int32)(sum >> lp_quantization);
}
}
else { /* order == 11 */
for(i = 0; i < (int)data_len; i++) {
sum = 0;
sum += qlp_coeff[10] * (FLAC__int64)data[i-11];
sum += qlp_coeff[9] * (FLAC__int64)data[i-10];
sum += qlp_coeff[8] * (FLAC__int64)data[i-9];
sum += qlp_coeff[7] * (FLAC__int64)data[i-8];
sum += qlp_coeff[6] * (FLAC__int64)data[i-7];
sum += qlp_coeff[5] * (FLAC__int64)data[i-6];
sum += qlp_coeff[4] * (FLAC__int64)data[i-5];
sum += qlp_coeff[3] * (FLAC__int64)data[i-4];
sum += qlp_coeff[2] * (FLAC__int64)data[i-3];
sum += qlp_coeff[1] * (FLAC__int64)data[i-2];
sum += qlp_coeff[0] * (FLAC__int64)data[i-1];
data[i] = residual[i] + (FLAC__int32)(sum >> lp_quantization);
}
}
}
else {
if(order == 10) {
for(i = 0; i < (int)data_len; i++) {
sum = 0;
sum += qlp_coeff[9] * (FLAC__int64)data[i-10];
sum += qlp_coeff[8] * (FLAC__int64)data[i-9];
sum += qlp_coeff[7] * (FLAC__int64)data[i-8];
sum += qlp_coeff[6] * (FLAC__int64)data[i-7];
sum += qlp_coeff[5] * (FLAC__int64)data[i-6];
sum += qlp_coeff[4] * (FLAC__int64)data[i-5];
sum += qlp_coeff[3] * (FLAC__int64)data[i-4];
sum += qlp_coeff[2] * (FLAC__int64)data[i-3];
sum += qlp_coeff[1] * (FLAC__int64)data[i-2];
sum += qlp_coeff[0] * (FLAC__int64)data[i-1];
data[i] = residual[i] + (FLAC__int32)(sum >> lp_quantization);
}
}
else { /* order == 9 */
for(i = 0; i < (int)data_len; i++) {
sum = 0;
sum += qlp_coeff[8] * (FLAC__int64)data[i-9];
sum += qlp_coeff[7] * (FLAC__int64)data[i-8];
sum += qlp_coeff[6] * (FLAC__int64)data[i-7];
sum += qlp_coeff[5] * (FLAC__int64)data[i-6];
sum += qlp_coeff[4] * (FLAC__int64)data[i-5];
sum += qlp_coeff[3] * (FLAC__int64)data[i-4];
sum += qlp_coeff[2] * (FLAC__int64)data[i-3];
sum += qlp_coeff[1] * (FLAC__int64)data[i-2];
sum += qlp_coeff[0] * (FLAC__int64)data[i-1];
data[i] = residual[i] + (FLAC__int32)(sum >> lp_quantization);
}
}
}
}
else if(order > 4) {
if(order > 6) {
if(order == 8) {
for(i = 0; i < (int)data_len; i++) {
sum = 0;
sum += qlp_coeff[7] * (FLAC__int64)data[i-8];
sum += qlp_coeff[6] * (FLAC__int64)data[i-7];
sum += qlp_coeff[5] * (FLAC__int64)data[i-6];
sum += qlp_coeff[4] * (FLAC__int64)data[i-5];
sum += qlp_coeff[3] * (FLAC__int64)data[i-4];
sum += qlp_coeff[2] * (FLAC__int64)data[i-3];
sum += qlp_coeff[1] * (FLAC__int64)data[i-2];
sum += qlp_coeff[0] * (FLAC__int64)data[i-1];
data[i] = residual[i] + (FLAC__int32)(sum >> lp_quantization);
}
}
else { /* order == 7 */
for(i = 0; i < (int)data_len; i++) {
sum = 0;
sum += qlp_coeff[6] * (FLAC__int64)data[i-7];
sum += qlp_coeff[5] * (FLAC__int64)data[i-6];
sum += qlp_coeff[4] * (FLAC__int64)data[i-5];
sum += qlp_coeff[3] * (FLAC__int64)data[i-4];
sum += qlp_coeff[2] * (FLAC__int64)data[i-3];
sum += qlp_coeff[1] * (FLAC__int64)data[i-2];
sum += qlp_coeff[0] * (FLAC__int64)data[i-1];
data[i] = residual[i] + (FLAC__int32)(sum >> lp_quantization);
}
}
}
else {
if(order == 6) {
for(i = 0; i < (int)data_len; i++) {
sum = 0;
sum += qlp_coeff[5] * (FLAC__int64)data[i-6];
sum += qlp_coeff[4] * (FLAC__int64)data[i-5];
sum += qlp_coeff[3] * (FLAC__int64)data[i-4];
sum += qlp_coeff[2] * (FLAC__int64)data[i-3];
sum += qlp_coeff[1] * (FLAC__int64)data[i-2];
sum += qlp_coeff[0] * (FLAC__int64)data[i-1];
data[i] = residual[i] + (FLAC__int32)(sum >> lp_quantization);
}
}
else { /* order == 5 */
for(i = 0; i < (int)data_len; i++) {
sum = 0;
sum += qlp_coeff[4] * (FLAC__int64)data[i-5];
sum += qlp_coeff[3] * (FLAC__int64)data[i-4];
sum += qlp_coeff[2] * (FLAC__int64)data[i-3];
sum += qlp_coeff[1] * (FLAC__int64)data[i-2];
sum += qlp_coeff[0] * (FLAC__int64)data[i-1];
data[i] = residual[i] + (FLAC__int32)(sum >> lp_quantization);
}
}
}
}
else {
if(order > 2) {
if(order == 4) {
for(i = 0; i < (int)data_len; i++) {
sum = 0;
sum += qlp_coeff[3] * (FLAC__int64)data[i-4];
sum += qlp_coeff[2] * (FLAC__int64)data[i-3];
sum += qlp_coeff[1] * (FLAC__int64)data[i-2];
sum += qlp_coeff[0] * (FLAC__int64)data[i-1];
data[i] = residual[i] + (FLAC__int32)(sum >> lp_quantization);
}
}
else { /* order == 3 */
for(i = 0; i < (int)data_len; i++) {
sum = 0;
sum += qlp_coeff[2] * (FLAC__int64)data[i-3];
sum += qlp_coeff[1] * (FLAC__int64)data[i-2];
sum += qlp_coeff[0] * (FLAC__int64)data[i-1];
data[i] = residual[i] + (FLAC__int32)(sum >> lp_quantization);
}
}
}
else {
if(order == 2) {
for(i = 0; i < (int)data_len; i++) {
sum = 0;
sum += qlp_coeff[1] * (FLAC__int64)data[i-2];
sum += qlp_coeff[0] * (FLAC__int64)data[i-1];
data[i] = residual[i] + (FLAC__int32)(sum >> lp_quantization);
}
}
else { /* order == 1 */
for(i = 0; i < (int)data_len; i++)
data[i] = residual[i] + (FLAC__int32)((qlp_coeff[0] * (FLAC__int64)data[i-1]) >> lp_quantization);
}
}
}
}
else { /* order > 12 */
for(i = 0; i < (int)data_len; i++) {
sum = 0;
switch(order) {
case 32: sum += qlp_coeff[31] * (FLAC__int64)data[i-32];
case 31: sum += qlp_coeff[30] * (FLAC__int64)data[i-31];
case 30: sum += qlp_coeff[29] * (FLAC__int64)data[i-30];
case 29: sum += qlp_coeff[28] * (FLAC__int64)data[i-29];
case 28: sum += qlp_coeff[27] * (FLAC__int64)data[i-28];
case 27: sum += qlp_coeff[26] * (FLAC__int64)data[i-27];
case 26: sum += qlp_coeff[25] * (FLAC__int64)data[i-26];
case 25: sum += qlp_coeff[24] * (FLAC__int64)data[i-25];
case 24: sum += qlp_coeff[23] * (FLAC__int64)data[i-24];
case 23: sum += qlp_coeff[22] * (FLAC__int64)data[i-23];
case 22: sum += qlp_coeff[21] * (FLAC__int64)data[i-22];
case 21: sum += qlp_coeff[20] * (FLAC__int64)data[i-21];
case 20: sum += qlp_coeff[19] * (FLAC__int64)data[i-20];
case 19: sum += qlp_coeff[18] * (FLAC__int64)data[i-19];
case 18: sum += qlp_coeff[17] * (FLAC__int64)data[i-18];
case 17: sum += qlp_coeff[16] * (FLAC__int64)data[i-17];
case 16: sum += qlp_coeff[15] * (FLAC__int64)data[i-16];
case 15: sum += qlp_coeff[14] * (FLAC__int64)data[i-15];
case 14: sum += qlp_coeff[13] * (FLAC__int64)data[i-14];
case 13: sum += qlp_coeff[12] * (FLAC__int64)data[i-13];
sum += qlp_coeff[11] * (FLAC__int64)data[i-12];
sum += qlp_coeff[10] * (FLAC__int64)data[i-11];
sum += qlp_coeff[ 9] * (FLAC__int64)data[i-10];
sum += qlp_coeff[ 8] * (FLAC__int64)data[i- 9];
sum += qlp_coeff[ 7] * (FLAC__int64)data[i- 8];
sum += qlp_coeff[ 6] * (FLAC__int64)data[i- 7];
sum += qlp_coeff[ 5] * (FLAC__int64)data[i- 6];
sum += qlp_coeff[ 4] * (FLAC__int64)data[i- 5];
sum += qlp_coeff[ 3] * (FLAC__int64)data[i- 4];
sum += qlp_coeff[ 2] * (FLAC__int64)data[i- 3];
sum += qlp_coeff[ 1] * (FLAC__int64)data[i- 2];
sum += qlp_coeff[ 0] * (FLAC__int64)data[i- 1];
}
data[i] = residual[i] + (FLAC__int32)(sum >> lp_quantization);
}
}
}
#endif
#ifndef FLAC__INTEGER_ONLY_LIBRARY
FLAC__double FLAC__lpc_compute_expected_bits_per_residual_sample(FLAC__double lpc_error, unsigned total_samples)
{
FLAC__double error_scale;
FLAC__ASSERT(total_samples > 0);
error_scale = 0.5 * M_LN2 * M_LN2 / (FLAC__double)total_samples;
return FLAC__lpc_compute_expected_bits_per_residual_sample_with_error_scale(lpc_error, error_scale);
}
FLAC__double FLAC__lpc_compute_expected_bits_per_residual_sample_with_error_scale(FLAC__double lpc_error, FLAC__double error_scale)
{
if(lpc_error > 0.0) {
FLAC__double bps = (FLAC__double)0.5 * log(error_scale * lpc_error) / M_LN2;
if(bps >= 0.0)
return bps;
else
return 0.0;
}
else if(lpc_error < 0.0) { /* error should not be negative but can happen due to inadequate floating-point resolution */
return 1e32;
}
else {
return 0.0;
}
}
unsigned FLAC__lpc_compute_best_order(const FLAC__double lpc_error[], unsigned max_order, unsigned total_samples, unsigned overhead_bits_per_order)
{
unsigned order, index, best_index; /* 'index' the index into lpc_error; index==order-1 since lpc_error[0] is for order==1, lpc_error[1] is for order==2, etc */
FLAC__double bits, best_bits, error_scale;
FLAC__ASSERT(max_order > 0);
FLAC__ASSERT(total_samples > 0);
error_scale = 0.5 * M_LN2 * M_LN2 / (FLAC__double)total_samples;
best_index = 0;
best_bits = (unsigned)(-1);
for(index = 0, order = 1; index < max_order; index++, order++) {
bits = FLAC__lpc_compute_expected_bits_per_residual_sample_with_error_scale(lpc_error[index], error_scale) * (FLAC__double)(total_samples - order) + (FLAC__double)(order * overhead_bits_per_order);
if(bits < best_bits) {
best_index = index;
best_bits = bits;
}
}
return best_index+1; /* +1 since index of lpc_error[] is order-1 */
}
#endif /* !defined FLAC__INTEGER_ONLY_LIBRARY */