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d961a79eb0
Avoids a warning of the unused function 'autocorrelate'.
293 lines
9.6 KiB
C
293 lines
9.6 KiB
C
/*
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* AAC Spectral Band Replication decoding functions
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* Copyright (c) 2008-2009 Robert Swain ( rob opendot cl )
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* Copyright (c) 2009-2010 Alex Converse <alex.converse@gmail.com>
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*
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* This file is part of Libav.
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*
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* Libav 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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* Libav 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 Libav; 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 "config.h"
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#include "libavutil/attributes.h"
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#include "libavutil/intfloat.h"
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#include "sbrdsp.h"
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static void sbr_sum64x5_c(float *z)
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{
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int k;
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for (k = 0; k < 64; k++) {
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float f = z[k] + z[k + 64] + z[k + 128] + z[k + 192] + z[k + 256];
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z[k] = f;
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}
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}
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static float sbr_sum_square_c(float (*x)[2], int n)
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{
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float sum0 = 0.0f, sum1 = 0.0f;
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int i;
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for (i = 0; i < n; i += 2)
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{
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sum0 += x[i + 0][0] * x[i + 0][0];
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sum1 += x[i + 0][1] * x[i + 0][1];
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sum0 += x[i + 1][0] * x[i + 1][0];
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sum1 += x[i + 1][1] * x[i + 1][1];
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}
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return sum0 + sum1;
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}
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static void sbr_neg_odd_64_c(float *x)
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{
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union av_intfloat32 *xi = (union av_intfloat32*) x;
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int i;
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for (i = 1; i < 64; i += 4) {
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xi[i + 0].i ^= 1U << 31;
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xi[i + 2].i ^= 1U << 31;
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}
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}
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static void sbr_qmf_pre_shuffle_c(float *z)
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{
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union av_intfloat32 *zi = (union av_intfloat32*) z;
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int k;
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zi[64].i = zi[0].i;
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zi[65].i = zi[1].i;
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for (k = 1; k < 31; k += 2) {
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zi[64 + 2 * k + 0].i = zi[64 - k].i ^ (1U << 31);
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zi[64 + 2 * k + 1].i = zi[ k + 1].i;
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zi[64 + 2 * k + 2].i = zi[63 - k].i ^ (1U << 31);
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zi[64 + 2 * k + 3].i = zi[ k + 2].i;
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}
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zi[64 + 2 * 31 + 0].i = zi[64 - 31].i ^ (1U << 31);
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zi[64 + 2 * 31 + 1].i = zi[31 + 1].i;
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}
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static void sbr_qmf_post_shuffle_c(float W[32][2], const float *z)
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{
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const union av_intfloat32 *zi = (const union av_intfloat32*) z;
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union av_intfloat32 *Wi = (union av_intfloat32*) W;
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int k;
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for (k = 0; k < 32; k += 2) {
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Wi[2 * k + 0].i = zi[63 - k].i ^ (1U << 31);
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Wi[2 * k + 1].i = zi[ k + 0].i;
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Wi[2 * k + 2].i = zi[62 - k].i ^ (1U << 31);
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Wi[2 * k + 3].i = zi[ k + 1].i;
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}
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}
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static void sbr_qmf_deint_neg_c(float *v, const float *src)
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{
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const union av_intfloat32 *si = (const union av_intfloat32*)src;
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union av_intfloat32 *vi = (union av_intfloat32*)v;
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int i;
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for (i = 0; i < 32; i++) {
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vi[ i].i = si[63 - 2 * i ].i;
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vi[63 - i].i = si[63 - 2 * i - 1].i ^ (1U << 31);
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}
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}
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static void sbr_qmf_deint_bfly_c(float *v, const float *src0, const float *src1)
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{
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int i;
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for (i = 0; i < 64; i++) {
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v[ i] = src0[i] - src1[63 - i];
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v[127 - i] = src0[i] + src1[63 - i];
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}
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}
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#if 0
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/* This code is slower because it multiplies memory accesses.
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* It is left for educational purposes and because it may offer
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* a better reference for writing arch-specific DSP functions. */
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static av_always_inline void autocorrelate(const float x[40][2],
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float phi[3][2][2], int lag)
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{
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int i;
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float real_sum = 0.0f;
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float imag_sum = 0.0f;
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if (lag) {
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for (i = 1; i < 38; i++) {
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real_sum += x[i][0] * x[i+lag][0] + x[i][1] * x[i+lag][1];
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imag_sum += x[i][0] * x[i+lag][1] - x[i][1] * x[i+lag][0];
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}
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phi[2-lag][1][0] = real_sum + x[ 0][0] * x[lag][0] + x[ 0][1] * x[lag][1];
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phi[2-lag][1][1] = imag_sum + x[ 0][0] * x[lag][1] - x[ 0][1] * x[lag][0];
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if (lag == 1) {
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phi[0][0][0] = real_sum + x[38][0] * x[39][0] + x[38][1] * x[39][1];
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phi[0][0][1] = imag_sum + x[38][0] * x[39][1] - x[38][1] * x[39][0];
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}
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} else {
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for (i = 1; i < 38; i++) {
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real_sum += x[i][0] * x[i][0] + x[i][1] * x[i][1];
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}
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phi[2][1][0] = real_sum + x[ 0][0] * x[ 0][0] + x[ 0][1] * x[ 0][1];
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phi[1][0][0] = real_sum + x[38][0] * x[38][0] + x[38][1] * x[38][1];
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}
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}
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static void sbr_autocorrelate_c(const float x[40][2], float phi[3][2][2])
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{
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autocorrelate(x, phi, 0);
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autocorrelate(x, phi, 1);
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autocorrelate(x, phi, 2);
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}
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#else
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static void sbr_autocorrelate_c(const float x[40][2], float phi[3][2][2])
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{
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float real_sum2 = x[0][0] * x[2][0] + x[0][1] * x[2][1];
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float imag_sum2 = x[0][0] * x[2][1] - x[0][1] * x[2][0];
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float real_sum1 = 0.0f, imag_sum1 = 0.0f, real_sum0 = 0.0f;
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int i;
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for (i = 1; i < 38; i++) {
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real_sum0 += x[i][0] * x[i ][0] + x[i][1] * x[i ][1];
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real_sum1 += x[i][0] * x[i + 1][0] + x[i][1] * x[i + 1][1];
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imag_sum1 += x[i][0] * x[i + 1][1] - x[i][1] * x[i + 1][0];
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real_sum2 += x[i][0] * x[i + 2][0] + x[i][1] * x[i + 2][1];
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imag_sum2 += x[i][0] * x[i + 2][1] - x[i][1] * x[i + 2][0];
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}
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phi[2 - 2][1][0] = real_sum2;
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phi[2 - 2][1][1] = imag_sum2;
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phi[2 ][1][0] = real_sum0 + x[ 0][0] * x[ 0][0] + x[ 0][1] * x[ 0][1];
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phi[1 ][0][0] = real_sum0 + x[38][0] * x[38][0] + x[38][1] * x[38][1];
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phi[2 - 1][1][0] = real_sum1 + x[ 0][0] * x[ 1][0] + x[ 0][1] * x[ 1][1];
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phi[2 - 1][1][1] = imag_sum1 + x[ 0][0] * x[ 1][1] - x[ 0][1] * x[ 1][0];
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phi[0 ][0][0] = real_sum1 + x[38][0] * x[39][0] + x[38][1] * x[39][1];
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phi[0 ][0][1] = imag_sum1 + x[38][0] * x[39][1] - x[38][1] * x[39][0];
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#endif
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}
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static void sbr_hf_gen_c(float (*X_high)[2], const float (*X_low)[2],
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const float alpha0[2], const float alpha1[2],
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float bw, int start, int end)
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{
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float alpha[4];
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int i;
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alpha[0] = alpha1[0] * bw * bw;
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alpha[1] = alpha1[1] * bw * bw;
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alpha[2] = alpha0[0] * bw;
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alpha[3] = alpha0[1] * bw;
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for (i = start; i < end; i++) {
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X_high[i][0] =
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X_low[i - 2][0] * alpha[0] -
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X_low[i - 2][1] * alpha[1] +
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X_low[i - 1][0] * alpha[2] -
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X_low[i - 1][1] * alpha[3] +
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X_low[i][0];
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X_high[i][1] =
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X_low[i - 2][1] * alpha[0] +
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X_low[i - 2][0] * alpha[1] +
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X_low[i - 1][1] * alpha[2] +
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X_low[i - 1][0] * alpha[3] +
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X_low[i][1];
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}
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}
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static void sbr_hf_g_filt_c(float (*Y)[2], const float (*X_high)[40][2],
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const float *g_filt, int m_max, intptr_t ixh)
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{
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int m;
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for (m = 0; m < m_max; m++) {
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Y[m][0] = X_high[m][ixh][0] * g_filt[m];
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Y[m][1] = X_high[m][ixh][1] * g_filt[m];
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}
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}
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static av_always_inline void sbr_hf_apply_noise(float (*Y)[2],
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const float *s_m,
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const float *q_filt,
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int noise,
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float phi_sign0,
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float phi_sign1,
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int m_max)
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{
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int m;
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for (m = 0; m < m_max; m++) {
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float y0 = Y[m][0];
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float y1 = Y[m][1];
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noise = (noise + 1) & 0x1ff;
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if (s_m[m]) {
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y0 += s_m[m] * phi_sign0;
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y1 += s_m[m] * phi_sign1;
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} else {
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y0 += q_filt[m] * ff_sbr_noise_table[noise][0];
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y1 += q_filt[m] * ff_sbr_noise_table[noise][1];
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}
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Y[m][0] = y0;
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Y[m][1] = y1;
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phi_sign1 = -phi_sign1;
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}
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}
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static void sbr_hf_apply_noise_0(float (*Y)[2], const float *s_m,
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const float *q_filt, int noise,
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int kx, int m_max)
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{
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sbr_hf_apply_noise(Y, s_m, q_filt, noise, 1.0, 0.0, m_max);
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}
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static void sbr_hf_apply_noise_1(float (*Y)[2], const float *s_m,
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const float *q_filt, int noise,
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int kx, int m_max)
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{
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float phi_sign = 1 - 2 * (kx & 1);
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sbr_hf_apply_noise(Y, s_m, q_filt, noise, 0.0, phi_sign, m_max);
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}
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static void sbr_hf_apply_noise_2(float (*Y)[2], const float *s_m,
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const float *q_filt, int noise,
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int kx, int m_max)
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{
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sbr_hf_apply_noise(Y, s_m, q_filt, noise, -1.0, 0.0, m_max);
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}
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static void sbr_hf_apply_noise_3(float (*Y)[2], const float *s_m,
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const float *q_filt, int noise,
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int kx, int m_max)
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{
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float phi_sign = 1 - 2 * (kx & 1);
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sbr_hf_apply_noise(Y, s_m, q_filt, noise, 0.0, -phi_sign, m_max);
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}
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av_cold void ff_sbrdsp_init(SBRDSPContext *s)
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{
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s->sum64x5 = sbr_sum64x5_c;
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s->sum_square = sbr_sum_square_c;
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s->neg_odd_64 = sbr_neg_odd_64_c;
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s->qmf_pre_shuffle = sbr_qmf_pre_shuffle_c;
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s->qmf_post_shuffle = sbr_qmf_post_shuffle_c;
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s->qmf_deint_neg = sbr_qmf_deint_neg_c;
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s->qmf_deint_bfly = sbr_qmf_deint_bfly_c;
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s->autocorrelate = sbr_autocorrelate_c;
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s->hf_gen = sbr_hf_gen_c;
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s->hf_g_filt = sbr_hf_g_filt_c;
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s->hf_apply_noise[0] = sbr_hf_apply_noise_0;
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s->hf_apply_noise[1] = sbr_hf_apply_noise_1;
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s->hf_apply_noise[2] = sbr_hf_apply_noise_2;
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s->hf_apply_noise[3] = sbr_hf_apply_noise_3;
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if (ARCH_ARM)
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ff_sbrdsp_init_arm(s);
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if (ARCH_X86)
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ff_sbrdsp_init_x86(s);
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}
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