audio: removed my perl experiment script.
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#!/usr/bin/perl -w
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use warnings;
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use strict;
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# The resampling algorithm: https://ccrma.stanford.edu/~jos/resample/
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# https://www.mathworks.com/help/signal/ref/kaiser.html
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# "Thus kaiser(L,beta) is equivalent to
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# besseli(0,beta*sqrt(1-(((0:L-1)-(L-1)/2)/((L-1)/2)).^2))/besseli(0,beta)."
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# Matlab kaiser calls besseli():
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# https://www.mathworks.com/help/matlab/ref/besseli.htm
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# https://en.wikipedia.org/wiki/Bessel_function
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sub print_table {
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my $tableref = shift;
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my $name = shift;
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my @table = @{$tableref};
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my $comma = '';
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my $count = 0;
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print("static const float $name = {\n ");
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foreach (@table) {
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print("$comma$_");
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#print(sprintf("%.6f\n", $_));
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if (++$count > 4) {
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$count = 0;
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print(",\n ");
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$comma = '';
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} else {
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$comma = ', ';
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}
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}
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print("\n};\n\n");
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}
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use POSIX ();
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# This is a "modified" bessel function, so you can't use POSIX j0()
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sub bessel {
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my $x = shift;
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my $i0 = 1;
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my $f = 1;
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my $i = 1;
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while (1) {
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my $diff = POSIX::pow($x / 2.0, $i * 2) / POSIX::pow($f, 2);
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last if ($diff < 1.0e-21);
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$i0 += $diff;
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$i++;
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$f *= $i;
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}
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return $i0;
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}
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sub kaiser {
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my $L = shift;
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my $beta = shift;
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my @retval;
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#print("L=$L, beta=$beta\n"); exit(0);
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for (my $i = 0; $i < $L; $i++) {
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my $val = bessel($beta * sqrt(1.0 -
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POSIX::pow(
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(
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(
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($i-($L-1.0))
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) / 2.0
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) / (($L-1)/2.0), 2.0 ))
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) / bessel($beta);
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unshift @retval, $val;
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}
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return @retval;
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}
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my $zero_crossings = 5;
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my $bits_per_sample = 16;
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my $samples_per_zero_crossing = 1 << (($bits_per_sample / 2) + 1);
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my $kaiser_window_table_size = ($samples_per_zero_crossing * $zero_crossings) + 1;
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# if dB > 50: 0.1102 * ($db - 8.7)
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my $db = 80.0;
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my $beta = 0.1102 * ($db - 8.7);
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my @table = kaiser($kaiser_window_table_size, $beta);
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print_table(\@table, 'kaiser_window');
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# Kaiser window has "sinc function" ("cardinal sine") applied to it:
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# sin(pi * x) / (pi * x)
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# "For example, to use the ideal lowpass filter, the table would contain
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# h(l) = sinc(l/L)."
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use Math::Trig ':pi';
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for (my $i = 1; $i < $kaiser_window_table_size; $i++) {
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my $x = $i / $samples_per_zero_crossing;
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$table[$i] *= sin($x * pi) / ($x * pi);
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}
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print_table(\@table, 'with_sinc');
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# "Our implementation also stores a table of differences ¯h(l) = h(l + 1) − h(l) between successive
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# FIR sample values in order to speed up the linear interpolation. The length of each table is
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# Nh = LNz + 1, including the endpoint definition ¯h(Nh) = 0."
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my @differences = ();
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for (my $i = 1; $i < $kaiser_window_table_size; $i++) {
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push @differences, $table[$i] - $table[$i - 1];
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}
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push @differences, 0;
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print_table(\@differences, 'differences');
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# Might as well use this code as a test harness...
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use autodie;
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my $fnamein = shift @ARGV;
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my $fnameout = shift @ARGV;
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my $inrate = shift @ARGV;
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my $outrate = shift @ARGV;
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print("Resampling $fnamein (freq=$inrate) to $fnameout (freq=$outrate).\n");
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open(IN, '<:raw', $fnamein);
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my @src = ();
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# this assumes mono Sint16 raw data since we aren't parsing .wav files.
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# !!! FIXME: deal with multichannel audio.
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my $channels = 1;
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# this is inefficient, but this is just throwaway code...
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while (read(IN, my $bytes, 2) == 2) {
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my ($samp) = unpack('s', $bytes);
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push @src, $samp;
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}
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close(IN);
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my $ratio = $outrate / $inrate;
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my $sample_frames_in = scalar(@src) / $channels;
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my $sample_frames_out = $sample_frames_in * $ratio;
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my $outsamples = $sample_frames_out * $channels;
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#my @dst = (0) x ($outsamples);
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my @dst = ();
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print("Resampling $sample_frames_in input frames to $sample_frames_out output (ratio=$ratio).\n");
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my $inv_spzc = int(POSIX::ceil(($samples_per_zero_crossing * $inrate) / $outrate));
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my $padding_len;
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if ($ratio < 1.0) {
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$padding_len = int(POSIX::ceil(($samples_per_zero_crossing * $inrate) / $outrate));
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} else {
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$padding_len = $samples_per_zero_crossing;
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}
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# You need to pad the input or we'll get buffer overflows.
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# !!! FIXME: deal with multichannel audio.
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for (my $i = 0; $i < $padding_len; $i++) {
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push @src, 0;
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unshift @src, 0;
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}
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# !!! FIXME: deal with multichannel audio.
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my $time = 0.0;
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for (my $i = 0; $i < $outsamples; $i++) {
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my $srcindex = int($time * $inrate); # !!! FIXME: truncate or round?
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my $ftime = $srcindex / $inrate; # this would be $time if we didn't convert $srcindex to int.
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my $fnexttime = ($srcindex + 1) / $inrate;
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# do this twice to calculate the sample, once for the "left wing" and then same for the right.
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my $sample = 0;
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my $interpolation = 1.0 - ($fnexttime - $time) / ($fnexttime - $ftime);
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my $filterindex = int($interpolation * $samples_per_zero_crossing);
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$srcindex += $padding_len;
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for (my $j = 0; ($filterindex + ($j * $samples_per_zero_crossing)) < $kaiser_window_table_size; $j++) {
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$sample += int($src[$srcindex - $j] * ($table[$filterindex + $j * $samples_per_zero_crossing] + $interpolation * $differences[$filterindex + $j * $samples_per_zero_crossing]));
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}
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$interpolation = 1 - $interpolation;
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$filterindex = $interpolation * $samples_per_zero_crossing;
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for (my $j = 0; ($filterindex + ($j * $samples_per_zero_crossing)) < $kaiser_window_table_size; $j++) {
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$sample += int($src[$srcindex + 1 + $j] * ($table[$filterindex + $j * $samples_per_zero_crossing] + $interpolation * $differences[$filterindex + $j * $samples_per_zero_crossing]));
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}
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push @dst, $sample;
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# "After each output sample is computed, the time register is incremented by 2nl+nη /Ï (i.e., time is incremented by 1/Ï in fixed-point format)."
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$time += 1.0 / $outrate;
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}
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open(OUT, '>:raw', $fnameout);
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# this is inefficient, but this is just throwaway code...
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foreach (@dst) {
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print OUT pack('s', $_);
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}
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close(OUT);
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print("Done.\n");
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