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a5202bc968
This improves accuracy for the bessel function at large arguments, and this in turn should improve the quality of the Kaiser window. It also improves the performance of the bessel function and hence build_filter by ~ 20%. Details are given below. Algorithm: taken from the Boost project, who have done a detailed investigation of the accuracy of their method, as compared with e.g the GNU Scientific Library (GSL): http://www.boost.org/doc/libs/1_52_0/libs/math/doc/sf_and_dist/html/math_toolkit/special/bessel/mbessel.html. Boost source code (also cited and licensed in the code): https://searchcode.com/codesearch/view/14918379/. Accuracy: sample values may be obtained as follows. i0 denotes the old bessel code, i0_boost the approach here, and i0_real an arbitrary precision result (truncated) from Wolfram Alpha: type "bessel i0(6.0)" to reproduce. These are evaluation points that occur for the default kaiser_beta = 9. Some illustrations: bessel(8.0) i0 (8.000000) = 427.564115721804739678191254 i0_boost(8.000000) = 427.564115721804796521610115 i0_real (8.000000) = 427.564115721804785177396791 bessel(6.0) i0 (6.000000) = 67.234406976477956163762428 i0_boost(6.000000) = 67.234406976477970374617144 i0_real (6.000000) = 67.234406976477975326188025 Reason for accuracy: Main accuracy benefits come at larger bessel arguments, where the Taylor-Maclaurin method is not that good: 23+ iterations (at large arguments, since the series is about 0) can cause significant floating point error accumulation. Benchmarks: Obtained on x86-64, Haswell, GNU/Linux via a loop calling build_filter 1000 times: test: fate-swr-resample-dblp-44100-2626 new: 995894468 decicycles in build_filter(loop 1000), 256 runs, 0 skips 1029719302 decicycles in build_filter(loop 1000), 512 runs, 0 skips 984101131 decicycles in build_filter(loop 1000), 1024 runs, 0 skips old: 1250020763 decicycles in build_filter(loop 1000), 256 runs, 0 skips 1246353282 decicycles in build_filter(loop 1000), 512 runs, 0 skips 1220017565 decicycles in build_filter(loop 1000), 1024 runs, 0 skips A further ~ 5% may be squeezed by enabling -ftree-vectorize. However, this is a separate issue from this patch. Reviewed-by: Michael Niedermayer <michael@niedermayer.cc> Signed-off-by: Ganesh Ajjanagadde <gajjanagadde@gmail.com>
549 lines
20 KiB
C
549 lines
20 KiB
C
/*
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* audio resampling
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* Copyright (c) 2004-2012 Michael Niedermayer <michaelni@gmx.at>
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* bessel function: Copyright (c) 2006 Xiaogang Zhang
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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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/**
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* @file
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* audio resampling
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* @author Michael Niedermayer <michaelni@gmx.at>
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*/
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#include "libavutil/avassert.h"
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#include "resample.h"
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static inline double eval_poly(const double *coeff, int size, double x) {
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double sum = coeff[size-1];
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int i;
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for (i = size-2; i >= 0; --i) {
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sum *= x;
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sum += coeff[i];
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}
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return sum;
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}
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/**
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* 0th order modified bessel function of the first kind.
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* Algorithm taken from the Boost project, source:
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* https://searchcode.com/codesearch/view/14918379/
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* Use, modification and distribution are subject to the
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* Boost Software License, Version 1.0 (see notice below).
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* Boost Software License - Version 1.0 - August 17th, 2003
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Permission is hereby granted, free of charge, to any person or organization
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obtaining a copy of the software and accompanying documentation covered by
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this license (the "Software") to use, reproduce, display, distribute,
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execute, and transmit the Software, and to prepare derivative works of the
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Software, and to permit third-parties to whom the Software is furnished to
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do so, all subject to the following:
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The copyright notices in the Software and this entire statement, including
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the above license grant, this restriction and the following disclaimer,
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must be included in all copies of the Software, in whole or in part, and
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all derivative works of the Software, unless such copies or derivative
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works are solely in the form of machine-executable object code generated by
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a source language processor.
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THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
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IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
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FITNESS FOR A PARTICULAR PURPOSE, TITLE AND NON-INFRINGEMENT. IN NO EVENT
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SHALL THE COPYRIGHT HOLDERS OR ANYONE DISTRIBUTING THE SOFTWARE BE LIABLE
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FOR ANY DAMAGES OR OTHER LIABILITY, WHETHER IN CONTRACT, TORT OR OTHERWISE,
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ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER
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DEALINGS IN THE SOFTWARE.
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*/
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static double bessel(double x) {
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// Modified Bessel function of the first kind of order zero
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// minimax rational approximations on intervals, see
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// Blair and Edwards, Chalk River Report AECL-4928, 1974
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static const double p1[] = {
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-2.2335582639474375249e+15,
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-5.5050369673018427753e+14,
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-3.2940087627407749166e+13,
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-8.4925101247114157499e+11,
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-1.1912746104985237192e+10,
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-1.0313066708737980747e+08,
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-5.9545626019847898221e+05,
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-2.4125195876041896775e+03,
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-7.0935347449210549190e+00,
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-1.5453977791786851041e-02,
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-2.5172644670688975051e-05,
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-3.0517226450451067446e-08,
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-2.6843448573468483278e-11,
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-1.5982226675653184646e-14,
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-5.2487866627945699800e-18,
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};
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static const double q1[] = {
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-2.2335582639474375245e+15,
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7.8858692566751002988e+12,
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-1.2207067397808979846e+10,
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1.0377081058062166144e+07,
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-4.8527560179962773045e+03,
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1.0L,
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};
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static const double p2[] = {
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-2.2210262233306573296e-04,
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1.3067392038106924055e-02,
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-4.4700805721174453923e-01,
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5.5674518371240761397e+00,
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-2.3517945679239481621e+01,
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3.1611322818701131207e+01,
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-9.6090021968656180000e+00,
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};
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static const double q2[] = {
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-5.5194330231005480228e-04,
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3.2547697594819615062e-02,
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-1.1151759188741312645e+00,
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1.3982595353892851542e+01,
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-6.0228002066743340583e+01,
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8.5539563258012929600e+01,
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-3.1446690275135491500e+01,
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1.0L,
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};
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double y, r, factor;
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if (x == 0)
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return 1.0;
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x = fabs(x);
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if (x <= 15) {
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y = x * x;
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return eval_poly(p1, FF_ARRAY_ELEMS(p1), y) / eval_poly(q1, FF_ARRAY_ELEMS(q1), y);
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}
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else {
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y = 1 / x - 1.0 / 15;
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r = eval_poly(p2, FF_ARRAY_ELEMS(p2), y) / eval_poly(q2, FF_ARRAY_ELEMS(q2), y);
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factor = exp(x) / sqrt(x);
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return factor * r;
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}
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}
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/**
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* builds a polyphase filterbank.
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* @param factor resampling factor
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* @param scale wanted sum of coefficients for each filter
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* @param filter_type filter type
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* @param kaiser_beta kaiser window beta
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* @return 0 on success, negative on error
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*/
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static int build_filter(ResampleContext *c, void *filter, double factor, int tap_count, int alloc, int phase_count, int scale,
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int filter_type, double kaiser_beta){
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int ph, i;
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double x, y, w, t;
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double *tab = av_malloc_array(tap_count+1, sizeof(*tab));
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const int center= (tap_count-1)/2;
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if (!tab)
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return AVERROR(ENOMEM);
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/* if upsampling, only need to interpolate, no filter */
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if (factor > 1.0)
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factor = 1.0;
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av_assert0(phase_count == 1 || phase_count % 2 == 0);
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for(ph = 0; ph <= phase_count / 2; ph++) {
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double norm = 0;
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for(i=0;i<=tap_count;i++) {
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x = M_PI * ((double)(i - center) - (double)ph / phase_count) * factor;
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if (x == 0) y = 1.0;
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else y = sin(x) / x;
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switch(filter_type){
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case SWR_FILTER_TYPE_CUBIC:{
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const float d= -0.5; //first order derivative = -0.5
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x = fabs(((double)(i - center) - (double)ph / phase_count) * factor);
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if(x<1.0) y= 1 - 3*x*x + 2*x*x*x + d*( -x*x + x*x*x);
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else y= d*(-4 + 8*x - 5*x*x + x*x*x);
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break;}
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case SWR_FILTER_TYPE_BLACKMAN_NUTTALL:
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w = 2.0*x / (factor*tap_count) + M_PI;
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t = cos(w);
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y *= 0.3635819 - 0.4891775 * t + 0.1365995 * (2*t*t-1) - 0.0106411 * (4*t*t*t - 3*t);
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break;
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case SWR_FILTER_TYPE_KAISER:
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w = 2.0*x / (factor*tap_count*M_PI);
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y *= bessel(kaiser_beta*sqrt(FFMAX(1-w*w, 0)));
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break;
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default:
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av_assert0(0);
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}
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tab[i] = y;
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if (i < tap_count)
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norm += y;
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}
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/* normalize so that an uniform color remains the same */
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switch(c->format){
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case AV_SAMPLE_FMT_S16P:
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for(i=0;i<tap_count;i++)
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((int16_t*)filter)[ph * alloc + i] = av_clip(lrintf(tab[i] * scale / norm), INT16_MIN, INT16_MAX);
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if (tap_count % 2 == 0) {
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for (i = 0; i < tap_count; i++)
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((int16_t*)filter)[(phase_count-ph) * alloc + tap_count-1-i] = ((int16_t*)filter)[ph * alloc + i];
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}
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else {
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for (i = 1; i <= tap_count; i++)
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((int16_t*)filter)[(phase_count-ph) * alloc + tap_count-i] =
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av_clip(lrintf(tab[i] * scale / (norm - tab[0] + tab[tap_count])), INT16_MIN, INT16_MAX);
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}
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break;
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case AV_SAMPLE_FMT_S32P:
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for(i=0;i<tap_count;i++)
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((int32_t*)filter)[ph * alloc + i] = av_clipl_int32(llrint(tab[i] * scale / norm));
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if (tap_count % 2 == 0) {
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for (i = 0; i < tap_count; i++)
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((int32_t*)filter)[(phase_count-ph) * alloc + tap_count-1-i] = ((int32_t*)filter)[ph * alloc + i];
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}
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else {
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for (i = 1; i <= tap_count; i++)
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((int32_t*)filter)[(phase_count-ph) * alloc + tap_count-i] =
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av_clipl_int32(llrint(tab[i] * scale / (norm - tab[0] + tab[tap_count])));
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}
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break;
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case AV_SAMPLE_FMT_FLTP:
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for(i=0;i<tap_count;i++)
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((float*)filter)[ph * alloc + i] = tab[i] * scale / norm;
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if (tap_count % 2 == 0) {
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for (i = 0; i < tap_count; i++)
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((float*)filter)[(phase_count-ph) * alloc + tap_count-1-i] = ((float*)filter)[ph * alloc + i];
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}
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else {
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for (i = 1; i <= tap_count; i++)
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((float*)filter)[(phase_count-ph) * alloc + tap_count-i] = tab[i] * scale / (norm - tab[0] + tab[tap_count]);
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}
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break;
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case AV_SAMPLE_FMT_DBLP:
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for(i=0;i<tap_count;i++)
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((double*)filter)[ph * alloc + i] = tab[i] * scale / norm;
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if (tap_count % 2 == 0) {
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for (i = 0; i < tap_count; i++)
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((double*)filter)[(phase_count-ph) * alloc + tap_count-1-i] = ((double*)filter)[ph * alloc + i];
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}
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else {
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for (i = 1; i <= tap_count; i++)
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((double*)filter)[(phase_count-ph) * alloc + tap_count-i] = tab[i] * scale / (norm - tab[0] + tab[tap_count]);
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}
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break;
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}
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}
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#if 0
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{
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#define LEN 1024
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int j,k;
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double sine[LEN + tap_count];
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double filtered[LEN];
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double maxff=-2, minff=2, maxsf=-2, minsf=2;
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for(i=0; i<LEN; i++){
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double ss=0, sf=0, ff=0;
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for(j=0; j<LEN+tap_count; j++)
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sine[j]= cos(i*j*M_PI/LEN);
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for(j=0; j<LEN; j++){
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double sum=0;
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ph=0;
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for(k=0; k<tap_count; k++)
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sum += filter[ph * tap_count + k] * sine[k+j];
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filtered[j]= sum / (1<<FILTER_SHIFT);
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ss+= sine[j + center] * sine[j + center];
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ff+= filtered[j] * filtered[j];
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sf+= sine[j + center] * filtered[j];
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}
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ss= sqrt(2*ss/LEN);
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ff= sqrt(2*ff/LEN);
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sf= 2*sf/LEN;
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maxff= FFMAX(maxff, ff);
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minff= FFMIN(minff, ff);
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maxsf= FFMAX(maxsf, sf);
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minsf= FFMIN(minsf, sf);
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if(i%11==0){
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av_log(NULL, AV_LOG_ERROR, "i:%4d ss:%f ff:%13.6e-%13.6e sf:%13.6e-%13.6e\n", i, ss, maxff, minff, maxsf, minsf);
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minff=minsf= 2;
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maxff=maxsf= -2;
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}
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}
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}
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#endif
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av_free(tab);
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return 0;
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}
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static ResampleContext *resample_init(ResampleContext *c, int out_rate, int in_rate, int filter_size, int phase_shift, int linear,
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double cutoff0, enum AVSampleFormat format, enum SwrFilterType filter_type, double kaiser_beta,
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double precision, int cheby)
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{
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double cutoff = cutoff0? cutoff0 : 0.97;
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double factor= FFMIN(out_rate * cutoff / in_rate, 1.0);
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int phase_count= 1<<phase_shift;
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if (!c || c->phase_shift != phase_shift || c->linear!=linear || c->factor != factor
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|| c->filter_length != FFMAX((int)ceil(filter_size/factor), 1) || c->format != format
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|| c->filter_type != filter_type || c->kaiser_beta != kaiser_beta) {
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c = av_mallocz(sizeof(*c));
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if (!c)
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return NULL;
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c->format= format;
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c->felem_size= av_get_bytes_per_sample(c->format);
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switch(c->format){
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case AV_SAMPLE_FMT_S16P:
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c->filter_shift = 15;
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break;
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case AV_SAMPLE_FMT_S32P:
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c->filter_shift = 30;
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break;
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case AV_SAMPLE_FMT_FLTP:
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case AV_SAMPLE_FMT_DBLP:
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c->filter_shift = 0;
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break;
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default:
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av_log(NULL, AV_LOG_ERROR, "Unsupported sample format\n");
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av_assert0(0);
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}
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if (filter_size/factor > INT32_MAX/256) {
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av_log(NULL, AV_LOG_ERROR, "Filter length too large\n");
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goto error;
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}
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c->phase_shift = phase_shift;
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c->phase_mask = phase_count - 1;
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c->linear = linear;
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c->factor = factor;
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c->filter_length = FFMAX((int)ceil(filter_size/factor), 1);
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c->filter_alloc = FFALIGN(c->filter_length, 8);
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c->filter_bank = av_calloc(c->filter_alloc, (phase_count+1)*c->felem_size);
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c->filter_type = filter_type;
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c->kaiser_beta = kaiser_beta;
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if (!c->filter_bank)
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goto error;
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if (build_filter(c, (void*)c->filter_bank, factor, c->filter_length, c->filter_alloc, phase_count, 1<<c->filter_shift, filter_type, kaiser_beta))
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goto error;
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memcpy(c->filter_bank + (c->filter_alloc*phase_count+1)*c->felem_size, c->filter_bank, (c->filter_alloc-1)*c->felem_size);
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memcpy(c->filter_bank + (c->filter_alloc*phase_count )*c->felem_size, c->filter_bank + (c->filter_alloc - 1)*c->felem_size, c->felem_size);
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}
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c->compensation_distance= 0;
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if(!av_reduce(&c->src_incr, &c->dst_incr, out_rate, in_rate * (int64_t)phase_count, INT32_MAX/2))
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goto error;
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c->ideal_dst_incr = c->dst_incr;
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c->dst_incr_div = c->dst_incr / c->src_incr;
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c->dst_incr_mod = c->dst_incr % c->src_incr;
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c->index= -phase_count*((c->filter_length-1)/2);
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c->frac= 0;
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swri_resample_dsp_init(c);
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return c;
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error:
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av_freep(&c->filter_bank);
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av_free(c);
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return NULL;
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}
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static void resample_free(ResampleContext **c){
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if(!*c)
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return;
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av_freep(&(*c)->filter_bank);
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av_freep(c);
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}
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static int set_compensation(ResampleContext *c, int sample_delta, int compensation_distance){
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c->compensation_distance= compensation_distance;
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if (compensation_distance)
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c->dst_incr = c->ideal_dst_incr - c->ideal_dst_incr * (int64_t)sample_delta / compensation_distance;
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else
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c->dst_incr = c->ideal_dst_incr;
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c->dst_incr_div = c->dst_incr / c->src_incr;
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c->dst_incr_mod = c->dst_incr % c->src_incr;
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return 0;
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}
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static int swri_resample(ResampleContext *c,
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uint8_t *dst, const uint8_t *src, int *consumed,
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int src_size, int dst_size, int update_ctx)
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{
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if (c->filter_length == 1 && c->phase_shift == 0) {
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int index= c->index;
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int frac= c->frac;
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int64_t index2= (1LL<<32)*c->frac/c->src_incr + (1LL<<32)*index;
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int64_t incr= (1LL<<32) * c->dst_incr / c->src_incr;
|
|
int new_size = (src_size * (int64_t)c->src_incr - frac + c->dst_incr - 1) / c->dst_incr;
|
|
|
|
dst_size= FFMIN(dst_size, new_size);
|
|
c->dsp.resample_one(dst, src, dst_size, index2, incr);
|
|
|
|
index += dst_size * c->dst_incr_div;
|
|
index += (frac + dst_size * (int64_t)c->dst_incr_mod) / c->src_incr;
|
|
av_assert2(index >= 0);
|
|
*consumed= index;
|
|
if (update_ctx) {
|
|
c->frac = (frac + dst_size * (int64_t)c->dst_incr_mod) % c->src_incr;
|
|
c->index = 0;
|
|
}
|
|
} else {
|
|
int64_t end_index = (1LL + src_size - c->filter_length) << c->phase_shift;
|
|
int64_t delta_frac = (end_index - c->index) * c->src_incr - c->frac;
|
|
int delta_n = (delta_frac + c->dst_incr - 1) / c->dst_incr;
|
|
|
|
dst_size = FFMIN(dst_size, delta_n);
|
|
if (dst_size > 0) {
|
|
*consumed = c->dsp.resample(c, dst, src, dst_size, update_ctx);
|
|
} else {
|
|
*consumed = 0;
|
|
}
|
|
}
|
|
|
|
return dst_size;
|
|
}
|
|
|
|
static int multiple_resample(ResampleContext *c, AudioData *dst, int dst_size, AudioData *src, int src_size, int *consumed){
|
|
int i, ret= -1;
|
|
int av_unused mm_flags = av_get_cpu_flags();
|
|
int need_emms = c->format == AV_SAMPLE_FMT_S16P && ARCH_X86_32 &&
|
|
(mm_flags & (AV_CPU_FLAG_MMX2 | AV_CPU_FLAG_SSE2)) == AV_CPU_FLAG_MMX2;
|
|
int64_t max_src_size = (INT64_MAX >> (c->phase_shift+1)) / c->src_incr;
|
|
|
|
if (c->compensation_distance)
|
|
dst_size = FFMIN(dst_size, c->compensation_distance);
|
|
src_size = FFMIN(src_size, max_src_size);
|
|
|
|
for(i=0; i<dst->ch_count; i++){
|
|
ret= swri_resample(c, dst->ch[i], src->ch[i],
|
|
consumed, src_size, dst_size, i+1==dst->ch_count);
|
|
}
|
|
if(need_emms)
|
|
emms_c();
|
|
|
|
if (c->compensation_distance) {
|
|
c->compensation_distance -= ret;
|
|
if (!c->compensation_distance) {
|
|
c->dst_incr = c->ideal_dst_incr;
|
|
c->dst_incr_div = c->dst_incr / c->src_incr;
|
|
c->dst_incr_mod = c->dst_incr % c->src_incr;
|
|
}
|
|
}
|
|
|
|
return ret;
|
|
}
|
|
|
|
static int64_t get_delay(struct SwrContext *s, int64_t base){
|
|
ResampleContext *c = s->resample;
|
|
int64_t num = s->in_buffer_count - (c->filter_length-1)/2;
|
|
num *= 1 << c->phase_shift;
|
|
num -= c->index;
|
|
num *= c->src_incr;
|
|
num -= c->frac;
|
|
return av_rescale(num, base, s->in_sample_rate*(int64_t)c->src_incr << c->phase_shift);
|
|
}
|
|
|
|
static int64_t get_out_samples(struct SwrContext *s, int in_samples) {
|
|
ResampleContext *c = s->resample;
|
|
// The + 2 are added to allow implementations to be slightly inaccurate, they should not be needed currently.
|
|
// They also make it easier to proof that changes and optimizations do not
|
|
// break the upper bound.
|
|
int64_t num = s->in_buffer_count + 2LL + in_samples;
|
|
num *= 1 << c->phase_shift;
|
|
num -= c->index;
|
|
num = av_rescale_rnd(num, s->out_sample_rate, ((int64_t)s->in_sample_rate) << c->phase_shift, AV_ROUND_UP) + 2;
|
|
|
|
if (c->compensation_distance) {
|
|
if (num > INT_MAX)
|
|
return AVERROR(EINVAL);
|
|
|
|
num = FFMAX(num, (num * c->ideal_dst_incr - 1) / c->dst_incr + 1);
|
|
}
|
|
return num;
|
|
}
|
|
|
|
static int resample_flush(struct SwrContext *s) {
|
|
AudioData *a= &s->in_buffer;
|
|
int i, j, ret;
|
|
if((ret = swri_realloc_audio(a, s->in_buffer_index + 2*s->in_buffer_count)) < 0)
|
|
return ret;
|
|
av_assert0(a->planar);
|
|
for(i=0; i<a->ch_count; i++){
|
|
for(j=0; j<s->in_buffer_count; j++){
|
|
memcpy(a->ch[i] + (s->in_buffer_index+s->in_buffer_count+j )*a->bps,
|
|
a->ch[i] + (s->in_buffer_index+s->in_buffer_count-j-1)*a->bps, a->bps);
|
|
}
|
|
}
|
|
s->in_buffer_count += (s->in_buffer_count+1)/2;
|
|
return 0;
|
|
}
|
|
|
|
// in fact the whole handle multiple ridiculously small buffers might need more thinking...
|
|
static int invert_initial_buffer(ResampleContext *c, AudioData *dst, const AudioData *src,
|
|
int in_count, int *out_idx, int *out_sz)
|
|
{
|
|
int n, ch, num = FFMIN(in_count + *out_sz, c->filter_length + 1), res;
|
|
|
|
if (c->index >= 0)
|
|
return 0;
|
|
|
|
if ((res = swri_realloc_audio(dst, c->filter_length * 2 + 1)) < 0)
|
|
return res;
|
|
|
|
// copy
|
|
for (n = *out_sz; n < num; n++) {
|
|
for (ch = 0; ch < src->ch_count; ch++) {
|
|
memcpy(dst->ch[ch] + ((c->filter_length + n) * c->felem_size),
|
|
src->ch[ch] + ((n - *out_sz) * c->felem_size), c->felem_size);
|
|
}
|
|
}
|
|
|
|
// if not enough data is in, return and wait for more
|
|
if (num < c->filter_length + 1) {
|
|
*out_sz = num;
|
|
*out_idx = c->filter_length;
|
|
return INT_MAX;
|
|
}
|
|
|
|
// else invert
|
|
for (n = 1; n <= c->filter_length; n++) {
|
|
for (ch = 0; ch < src->ch_count; ch++) {
|
|
memcpy(dst->ch[ch] + ((c->filter_length - n) * c->felem_size),
|
|
dst->ch[ch] + ((c->filter_length + n) * c->felem_size),
|
|
c->felem_size);
|
|
}
|
|
}
|
|
|
|
res = num - *out_sz;
|
|
*out_idx = c->filter_length + (c->index >> c->phase_shift);
|
|
*out_sz = FFMAX(*out_sz + c->filter_length,
|
|
1 + c->filter_length * 2) - *out_idx;
|
|
c->index &= c->phase_mask;
|
|
|
|
return FFMAX(res, 0);
|
|
}
|
|
|
|
struct Resampler const swri_resampler={
|
|
resample_init,
|
|
resample_free,
|
|
multiple_resample,
|
|
resample_flush,
|
|
set_compensation,
|
|
get_delay,
|
|
invert_initial_buffer,
|
|
get_out_samples,
|
|
};
|