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368 lines
11 KiB
368 lines
11 KiB
/* |
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* LPC utility code |
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* Copyright (c) 2006 Justin Ruggles <justin.ruggles@gmail.com> |
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* |
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* This file is part of FFmpeg. |
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* |
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* FFmpeg is free software; you can redistribute it and/or |
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* modify it under the terms of the GNU Lesser General Public |
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* License as published by the Free Software Foundation; either |
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* version 2.1 of the License, or (at your option) any later version. |
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* |
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* FFmpeg is distributed in the hope that it will be useful, |
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* but WITHOUT ANY WARRANTY; without even the implied warranty of |
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* MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU |
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* Lesser General Public License for more details. |
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* |
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* You should have received a copy of the GNU Lesser General Public |
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* License along with FFmpeg; if not, write to the Free Software |
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* Foundation, Inc., 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA |
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*/ |
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#include "libavutil/common.h" |
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#include "libavutil/lls.h" |
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#include "libavutil/mem.h" |
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#include "libavutil/mem_internal.h" |
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#define LPC_USE_DOUBLE |
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#include "lpc.h" |
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#include "lpc_functions.h" |
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#include "libavutil/avassert.h" |
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/** |
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* Schur recursion. |
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* Produces reflection coefficients from autocorrelation data. |
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*/ |
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static inline void compute_ref_coefs(const LPC_TYPE *autoc, int max_order, |
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LPC_TYPE *ref, LPC_TYPE *error) |
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{ |
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LPC_TYPE err; |
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LPC_TYPE gen0[MAX_LPC_ORDER], gen1[MAX_LPC_ORDER]; |
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for (int i = 0; i < max_order; i++) |
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gen0[i] = gen1[i] = autoc[i + 1]; |
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err = autoc[0]; |
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ref[0] = -gen1[0] / ((LPC_USE_FIXED || err) ? err : 1); |
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err += gen1[0] * ref[0]; |
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if (error) |
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error[0] = err; |
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for (int i = 1; i < max_order; i++) { |
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for (int j = 0; j < max_order - i; j++) { |
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gen1[j] = gen1[j + 1] + ref[i - 1] * gen0[j]; |
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gen0[j] = gen1[j + 1] * ref[i - 1] + gen0[j]; |
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} |
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ref[i] = -gen1[0] / ((LPC_USE_FIXED || err) ? err : 1); |
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err += gen1[0] * ref[i]; |
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if (error) |
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error[i] = err; |
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} |
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} |
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/** |
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* Apply Welch window function to audio block |
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*/ |
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static void lpc_apply_welch_window_c(const int32_t *data, ptrdiff_t len, |
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double *w_data) |
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{ |
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int i, n2; |
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double w; |
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double c; |
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if (len == 1) { |
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w_data[0] = 0.0; |
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return; |
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} |
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n2 = (len >> 1); |
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c = 2.0 / (len - 1.0); |
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if (len & 1) { |
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for(i=0; i<n2; i++) { |
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w = c - i - 1.0; |
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w = 1.0 - (w * w); |
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w_data[i] = data[i] * w; |
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w_data[len-1-i] = data[len-1-i] * w; |
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} |
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w_data[n2] = 0.0; |
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return; |
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} |
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w_data+=n2; |
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data+=n2; |
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for(i=0; i<n2; i++) { |
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w = c - n2 + i; |
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w = 1.0 - (w * w); |
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w_data[-i-1] = data[-i-1] * w; |
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w_data[+i ] = data[+i ] * w; |
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} |
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} |
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/** |
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* Calculate autocorrelation data from audio samples |
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* A Welch window function is applied before calculation. |
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*/ |
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static void lpc_compute_autocorr_c(const double *data, ptrdiff_t len, int lag, |
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double *autoc) |
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{ |
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int i, j; |
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for(j=0; j<lag; j+=2){ |
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double sum0 = 1.0, sum1 = 1.0; |
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for(i=j; i<len; i++){ |
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sum0 += data[i] * data[i-j]; |
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sum1 += data[i] * data[i-j-1]; |
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} |
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autoc[j ] = sum0; |
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autoc[j+1] = sum1; |
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} |
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if(j==lag){ |
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double sum = 1.0; |
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for(i=j-1; i<len; i++){ |
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sum += data[i] * data[i-j]; |
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} |
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autoc[j] = sum; |
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} |
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} |
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/** |
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* Quantize LPC coefficients |
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*/ |
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static void quantize_lpc_coefs(double *lpc_in, int order, int precision, |
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int32_t *lpc_out, int *shift, int min_shift, |
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int max_shift, int zero_shift) |
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{ |
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int i; |
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double cmax, error; |
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int32_t qmax; |
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int sh; |
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/* define maximum levels */ |
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qmax = (1 << (precision - 1)) - 1; |
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/* find maximum coefficient value */ |
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cmax = 0.0; |
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for(i=0; i<order; i++) { |
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cmax= FFMAX(cmax, fabs(lpc_in[i])); |
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} |
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/* if maximum value quantizes to zero, return all zeros */ |
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if(cmax * (1 << max_shift) < 1.0) { |
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*shift = zero_shift; |
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memset(lpc_out, 0, sizeof(int32_t) * order); |
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return; |
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} |
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/* calculate level shift which scales max coeff to available bits */ |
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sh = max_shift; |
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while((cmax * (1 << sh) > qmax) && (sh > min_shift)) { |
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sh--; |
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} |
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/* since negative shift values are unsupported in decoder, scale down |
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coefficients instead */ |
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if(sh == 0 && cmax > qmax) { |
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double scale = ((double)qmax) / cmax; |
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for(i=0; i<order; i++) { |
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lpc_in[i] *= scale; |
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} |
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} |
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/* output quantized coefficients and level shift */ |
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error=0; |
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for(i=0; i<order; i++) { |
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error -= lpc_in[i] * (1 << sh); |
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lpc_out[i] = av_clip(lrintf(error), -qmax, qmax); |
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error -= lpc_out[i]; |
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} |
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*shift = sh; |
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} |
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static int estimate_best_order(double *ref, int min_order, int max_order) |
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{ |
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int i, est; |
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est = min_order; |
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for(i=max_order-1; i>=min_order-1; i--) { |
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if(ref[i] > 0.10) { |
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est = i+1; |
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break; |
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} |
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} |
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return est; |
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} |
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int ff_lpc_calc_ref_coefs(LPCContext *s, |
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const int32_t *samples, int order, double *ref) |
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{ |
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double autoc[MAX_LPC_ORDER + 1]; |
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s->lpc_apply_welch_window(samples, s->blocksize, s->windowed_samples); |
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s->lpc_compute_autocorr(s->windowed_samples, s->blocksize, order, autoc); |
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compute_ref_coefs(autoc, order, ref, NULL); |
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return order; |
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} |
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double ff_lpc_calc_ref_coefs_f(LPCContext *s, const float *samples, int len, |
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int order, double *ref) |
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{ |
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int i; |
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double signal = 0.0f, avg_err = 0.0f; |
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double autoc[MAX_LPC_ORDER+1] = {0}, error[MAX_LPC_ORDER+1] = {0}; |
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const double a = 0.5f, b = 1.0f - a; |
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/* Apply windowing */ |
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for (i = 0; i <= len / 2; i++) { |
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double weight = a - b*cos((2*M_PI*i)/(len - 1)); |
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s->windowed_samples[i] = weight*samples[i]; |
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s->windowed_samples[len-1-i] = weight*samples[len-1-i]; |
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} |
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s->lpc_compute_autocorr(s->windowed_samples, len, order, autoc); |
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signal = autoc[0]; |
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compute_ref_coefs(autoc, order, ref, error); |
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for (i = 0; i < order; i++) |
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avg_err = (avg_err + error[i])/2.0f; |
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return avg_err ? signal/avg_err : NAN; |
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} |
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/** |
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* Calculate LPC coefficients for multiple orders |
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* |
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* @param lpc_type LPC method for determining coefficients, |
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* see #FFLPCType for details |
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*/ |
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int ff_lpc_calc_coefs(LPCContext *s, |
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const int32_t *samples, int blocksize, int min_order, |
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int max_order, int precision, |
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int32_t coefs[][MAX_LPC_ORDER], int *shift, |
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enum FFLPCType lpc_type, int lpc_passes, |
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int omethod, int min_shift, int max_shift, int zero_shift) |
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{ |
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double autoc[MAX_LPC_ORDER+1]; |
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double ref[MAX_LPC_ORDER] = { 0 }; |
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double lpc[MAX_LPC_ORDER][MAX_LPC_ORDER]; |
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int i, j, pass = 0; |
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int opt_order; |
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av_assert2(max_order >= MIN_LPC_ORDER && max_order <= MAX_LPC_ORDER && |
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lpc_type > FF_LPC_TYPE_FIXED); |
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av_assert0(lpc_type == FF_LPC_TYPE_CHOLESKY || lpc_type == FF_LPC_TYPE_LEVINSON); |
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/* reinit LPC context if parameters have changed */ |
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if (blocksize != s->blocksize || max_order != s->max_order || |
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lpc_type != s->lpc_type) { |
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ff_lpc_end(s); |
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ff_lpc_init(s, blocksize, max_order, lpc_type); |
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} |
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if(lpc_passes <= 0) |
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lpc_passes = 2; |
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if (lpc_type == FF_LPC_TYPE_LEVINSON || (lpc_type == FF_LPC_TYPE_CHOLESKY && lpc_passes > 1)) { |
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s->lpc_apply_welch_window(samples, blocksize, s->windowed_samples); |
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s->lpc_compute_autocorr(s->windowed_samples, blocksize, max_order, autoc); |
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compute_lpc_coefs(autoc, max_order, &lpc[0][0], MAX_LPC_ORDER, 0, 1); |
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for(i=0; i<max_order; i++) |
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ref[i] = fabs(lpc[i][i]); |
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pass++; |
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} |
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if (lpc_type == FF_LPC_TYPE_CHOLESKY) { |
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LLSModel *m = s->lls_models; |
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LOCAL_ALIGNED(32, double, var, [FFALIGN(MAX_LPC_ORDER+1,4)]); |
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double av_uninit(weight); |
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memset(var, 0, FFALIGN(MAX_LPC_ORDER+1,4)*sizeof(*var)); |
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/* Avoids initializing with an unused value when lpc_passes == 1 */ |
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if (lpc_passes > 1) |
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for(j=0; j<max_order; j++) |
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m[0].coeff[max_order-1][j] = -lpc[max_order-1][j]; |
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for(; pass<lpc_passes; pass++){ |
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avpriv_init_lls(&m[pass&1], max_order); |
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weight=0; |
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for(i=max_order; i<blocksize; i++){ |
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for(j=0; j<=max_order; j++) |
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var[j]= samples[i-j]; |
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if(pass){ |
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double eval, inv, rinv; |
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eval= m[pass&1].evaluate_lls(&m[(pass-1)&1], var+1, max_order-1); |
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eval= (512>>pass) + fabs(eval - var[0]); |
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inv = 1/eval; |
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rinv = sqrt(inv); |
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for(j=0; j<=max_order; j++) |
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var[j] *= rinv; |
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weight += inv; |
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}else |
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weight++; |
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m[pass&1].update_lls(&m[pass&1], var); |
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} |
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avpriv_solve_lls(&m[pass&1], 0.001, 0); |
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} |
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for(i=0; i<max_order; i++){ |
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for(j=0; j<max_order; j++) |
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lpc[i][j]=-m[(pass-1)&1].coeff[i][j]; |
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ref[i]= sqrt(m[(pass-1)&1].variance[i] / weight) * (blocksize - max_order) / 4000; |
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} |
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for(i=max_order-1; i>0; i--) |
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ref[i] = ref[i-1] - ref[i]; |
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} |
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opt_order = max_order; |
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if(omethod == ORDER_METHOD_EST) { |
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opt_order = estimate_best_order(ref, min_order, max_order); |
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i = opt_order-1; |
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quantize_lpc_coefs(lpc[i], i+1, precision, coefs[i], &shift[i], |
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min_shift, max_shift, zero_shift); |
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} else { |
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for(i=min_order-1; i<max_order; i++) { |
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quantize_lpc_coefs(lpc[i], i+1, precision, coefs[i], &shift[i], |
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min_shift, max_shift, zero_shift); |
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} |
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} |
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return opt_order; |
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} |
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av_cold int ff_lpc_init(LPCContext *s, int blocksize, int max_order, |
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enum FFLPCType lpc_type) |
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{ |
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s->blocksize = blocksize; |
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s->max_order = max_order; |
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s->lpc_type = lpc_type; |
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s->windowed_buffer = av_mallocz((blocksize + 2 + FFALIGN(max_order, 4)) * |
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sizeof(*s->windowed_samples)); |
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if (!s->windowed_buffer) |
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return AVERROR(ENOMEM); |
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s->windowed_samples = s->windowed_buffer + FFALIGN(max_order, 4); |
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s->lpc_apply_welch_window = lpc_apply_welch_window_c; |
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s->lpc_compute_autocorr = lpc_compute_autocorr_c; |
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#if ARCH_RISCV |
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ff_lpc_init_riscv(s); |
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#elif ARCH_X86 |
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ff_lpc_init_x86(s); |
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#endif |
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return 0; |
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} |
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av_cold void ff_lpc_end(LPCContext *s) |
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{ |
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av_freep(&s->windowed_buffer); |
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}
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