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/*
* Sinc interpolator coefficient and delta generator for the OpenAL Soft
* cross platform audio library.
*
* Copyright (C) 2015 by Christopher Fitzgerald.
*
* This library is free software; you can redistribute it and/or
* modify it under the terms of the GNU Library General Public
* License as published by the Free Software Foundation; either
* version 2 of the License, or (at your option) any later version.
*
* This library is distributed in the hope that it will be useful,
* but WITHOUT ANY WARRANTY; without even the implied warranty of
* MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU
* Library General Public License for more details.
*
* You should have received a copy of the GNU Library General Public
* License along with this library; if not, write to the Free Software
* Foundation, Inc., 51 Franklin Street, Fifth Floor, Boston,
* MA 02110-1301 USA
*
* Or visit: http://www.gnu.org/licenses/old-licenses/lgpl-2.0.html
*
* --------------------------------------------------------------------------
*
* This is a modified version of the bandlimited windowed sinc interpolator
* algorithm presented here:
*
* Smith, J.O. "Windowed Sinc Interpolation", in
* Physical Audio Signal Processing,
* https://ccrma.stanford.edu/~jos/pasp/Windowed_Sinc_Interpolation.html,
* online book,
* accessed October 2012.
*/
#include <stdio.h>
#include <math.h>
#include <string.h>
#ifndef M_PI
#define M_PI (3.14159265358979323846)
#endif
// The number of distinct scale and phase intervals within the filter table.
#define BSINC_SCALE_COUNT (16)
#define BSINC_PHASE_COUNT (16)
#define BSINC_REJECTION (60.0)
#define BSINC_POINTS_MIN (12)
static double MinDouble(double a, double b)
{ return (a <= b) ? a : b; }
static double MaxDouble(double a, double b)
{ return (a >= b) ? a : b; }
/* NOTE: This is the normalized (instead of just sin(x)/x) cardinal sine
* function.
* 2 f_t sinc(2 f_t x)
* f_t -- normalized transition frequency (0.5 is nyquist)
* x -- sample index (-N to N)
*/
static double Sinc(const double x)
{
if(fabs(x) < 1e-15)
return 1.0;
return sin(M_PI * x) / (M_PI * x);
}
static double BesselI_0(const double x)
{
double term, sum, last_sum, x2, y;
int i;
term = 1.0;
sum = 1.0;
x2 = x / 2.0;
i = 1;
do {
y = x2 / i;
i++;
last_sum = sum;
term *= y * y;
sum += term;
} while(sum != last_sum);
return sum;
}
/* NOTE: k is assumed normalized (-1 to 1)
* beta is equivalent to 2 alpha
*/
static double Kaiser(const double b, const double k)
{
double k2;
if((k < -1.0) || (k > 1.0))
return 0.0;
k2 = MaxDouble(1.0 - (k * k), 0.0);
return BesselI_0(b * sqrt(k2)) / BesselI_0(b);
}
/* NOTE: Calculates the transition width of the Kaiser window. Rejection is
* in dB.
*/
static double CalcKaiserWidth(const double rejection, const int order)
{
double w_t = 2.0 * M_PI;
if(rejection > 21.0)
return (rejection - 7.95) / (order * 2.285 * w_t);
return 5.79 / (order * w_t);
}
static double CalcKaiserBeta(const double rejection)
{
if(rejection > 50.0)
return 0.1102 * (rejection - 8.7);
else if(rejection >= 21.0)
return (0.5842 * pow(rejection - 21.0, 0.4)) +
(0.07886 * (rejection - 21.0));
return 0.0;
}
/* Generates the coefficient, delta, and index tables required by the bsinc resampler */
static void BsiGenerateTables()
{
static double filter[BSINC_SCALE_COUNT][BSINC_PHASE_COUNT + 1][2 * BSINC_POINTS_MIN];
static double scDeltas[BSINC_SCALE_COUNT][BSINC_PHASE_COUNT ][2 * BSINC_POINTS_MIN];
static double phDeltas[BSINC_SCALE_COUNT][BSINC_PHASE_COUNT + 1][2 * BSINC_POINTS_MIN];
static double spDeltas[BSINC_SCALE_COUNT][BSINC_PHASE_COUNT ][2 * BSINC_POINTS_MIN];
static int mt[BSINC_SCALE_COUNT];
static double at[BSINC_SCALE_COUNT];
double width, beta, scaleBase, scaleRange;
int si, pi, i;
memset(filter, 0, sizeof(filter));
memset(scDeltas, 0, sizeof(scDeltas));
memset(phDeltas, 0, sizeof(phDeltas));
memset(spDeltas, 0, sizeof(spDeltas));
/* Calculate windowing parameters. The width describes the transition
band, but it may vary due to the linear interpolation between scales
of the filter.
*/
width = CalcKaiserWidth(BSINC_REJECTION, BSINC_POINTS_MIN);
beta = CalcKaiserBeta(BSINC_REJECTION);
scaleBase = width / 2.0;
scaleRange = 1.0 - scaleBase;
// Determine filter scaling.
for(si = 0; si < BSINC_SCALE_COUNT; si++)
{
const double scale = scaleBase + (scaleRange * si / (BSINC_SCALE_COUNT - 1));
const double a = MinDouble(BSINC_POINTS_MIN, BSINC_POINTS_MIN / (2.0 * scale));
int m = 2 * (int)floor(a);
// Make sure the number of points is a multiple of 4 (for SSE).
m += ~(m - 1) & 3;
mt[si] = m;
at[si] = a;
}
/* Calculate the Kaiser-windowed Sinc filter coefficients for each scale
and phase.
*/
for(si = 0; si < BSINC_SCALE_COUNT; si++)
{
const int m = mt[si];
const int o = BSINC_POINTS_MIN - (m / 2);
const int l = (m / 2) - 1;
const double a = at[si];
const double scale = scaleBase + (scaleRange * si / (BSINC_SCALE_COUNT - 1));
const double cutoff = (0.5 * scale) - (scaleBase * MaxDouble(0.5, scale));
for(pi = 0; pi <= BSINC_PHASE_COUNT; pi++)
{
const double phase = l + ((double)pi / BSINC_PHASE_COUNT);
for(i = 0; i < m; i++)
{
const double x = i - phase;
filter[si][pi][o + i] = Kaiser(beta, x / a) * 2.0 * cutoff * Sinc(2.0 * cutoff * x);
}
}
}
/* Linear interpolation between scales is simplified by pre-calculating
the delta (b - a) in: x = a + f (b - a)
Given a difference in points between scales, the destination points
will be 0, thus: x = a + f (-a)
*/
for(si = 0; si < (BSINC_SCALE_COUNT - 1); si++)
{
const int m = mt[si];
const int o = BSINC_POINTS_MIN - (m / 2);
for(pi = 0; pi < BSINC_PHASE_COUNT; pi++)
{
for(i = 0; i < m; i++)
scDeltas[si][pi][o + i] = filter[si + 1][pi][o + i] - filter[si][pi][o + i];
}
}
// Linear interpolation between phases is also simplified.
for(si = 0; si < BSINC_SCALE_COUNT; si++)
{
const int m = mt[si];
const int o = BSINC_POINTS_MIN - (m / 2);
for(pi = 0; pi < BSINC_PHASE_COUNT; pi++)
{
for(i = 0; i < m; i++)
phDeltas[si][pi][o + i] = filter[si][pi + 1][o + i] - filter[si][pi][o + i];
}
}
/* This last simplification is done to complete the bilinear equation for
the combination of scale and phase.
*/
for(si = 0; si < (BSINC_SCALE_COUNT - 1); si++)
{
const int m = mt[si];
const int o = BSINC_POINTS_MIN - (m / 2);
for(pi = 0; pi < BSINC_PHASE_COUNT; pi++)
{
for(i = 0; i < m; i++)
spDeltas[si][pi][o + i] = phDeltas[si + 1][pi][o + i] - phDeltas[si][pi][o + i];
}
}
// Calculate the table size.
i = 0;
for(si = 0; si < BSINC_SCALE_COUNT; si++)
i += 4 * BSINC_PHASE_COUNT * mt[si];
fprintf(stdout, "/* Generated by bsincgen, do not edit! */\n\n"
"/* Table of windowed sinc coefficients and deltas. This 11th order filter\n"
" * has a rejection of -60 dB, yielding a transition width of ~0.302\n"
" * (normalized frequency). Order increases when downsampling to a limit of\n"
" * one octave, after which the quality of the filter (transition width)\n"
" * suffers to reduce the CPU cost. The bandlimiting will cut all sound after\n"
" * downsampling by ~2.73 octaves.\n"
" */\n"
"static const struct {\n"
" alignas(16) const float Tab[%d];\n"
" const float scaleBase, scaleRange;\n"
" const int m[BSINC_SCALE_COUNT];\n"
" const int filterOffset[BSINC_SCALE_COUNT];\n"
"} bsinc = {\n", i);
fprintf(stdout, " /* Tab */ {\n");
for(si = 0; si < BSINC_SCALE_COUNT; si++)
{
const int m = mt[si];
const int o = BSINC_POINTS_MIN - (m / 2);
for(pi = 0; pi < BSINC_PHASE_COUNT; pi++)
{
fprintf(stdout, " /* %2d,%2d (%d) */", si, pi, m);
fprintf(stdout, "\n ");
for(i = 0; i < m; i++)
fprintf(stdout, " %+14.9ef,", filter[si][pi][o + i]);
fprintf(stdout, "\n ");
for(i = 0; i < m; i++)
fprintf(stdout, " %+14.9ef,", scDeltas[si][pi][o + i]);
fprintf(stdout, "\n ");
for(i = 0; i < m; i++)
fprintf(stdout, " %+14.9ef,", phDeltas[si][pi][o + i]);
fprintf(stdout, "\n ");
for(i = 0; i < m; i++)
fprintf(stdout, " %+14.9ef,", spDeltas[si][pi][o + i]);
fprintf(stdout, "\n");
}
}
fprintf(stdout, " },\n\n");
/* The scaleBase is calculated from the Kaiser window transition width.
It represents the absolute limit to the filter before it fully cuts
the signal. The limit in octaves can be calculated by taking the
base-2 logarithm of its inverse: log_2(1 / scaleBase)
*/
fprintf(stdout, " /* scaleBase */ %.9ef, /* scaleRange */ %.9ef,\n", scaleBase, 1.0 / scaleRange);
fprintf(stdout, " /* m */ {");
fprintf(stdout, " %d", mt[0]);
for(si = 1; si < BSINC_SCALE_COUNT; si++)
fprintf(stdout, ", %d", mt[si]);
fprintf(stdout, " },\n");
fprintf(stdout, " /* filterOffset */ {");
fprintf(stdout, " %d", 0);
i = mt[0]*4*BSINC_PHASE_COUNT;
for(si = 1; si < BSINC_SCALE_COUNT; si++)
{
fprintf(stdout, ", %d", i);
i += mt[si]*4*BSINC_PHASE_COUNT;
}
fprintf(stdout, " }\n};\n\n");
}
/* These methods generate a much simplified 4-point sinc interpolator using a
* Kaiser window. This is much simpler to process at run-time, but has notably
* more aliasing noise.
*/
/* Same as in alu.h! */
#define FRACTIONBITS (12)
#define FRACTIONONE (1<<FRACTIONBITS)
static void Sinc4GenerateTables(void)
{
static double filter[FRACTIONONE][4];
const double width = CalcKaiserWidth(BSINC_REJECTION, 4);
const double beta = CalcKaiserBeta(BSINC_REJECTION);
const double scaleBase = width / 2.0;
const double scaleRange = 1.0 - scaleBase;
const double scale = scaleBase + scaleRange;
const double a = MinDouble(4.0, 4.0 / (2.0*scale));
const int m = 2 * (int)floor(a);
const int l = (m/2) - 1;
int pi;
for(pi = 0;pi < FRACTIONONE;pi++)
{
const double phase = l + ((double)pi / FRACTIONONE);
int i;
for(i = 0;i < m;i++)
{
double x = i - phase;
filter[pi][i] = Kaiser(beta, x / a) * Sinc(x);
}
}
fprintf(stdout, "alignas(16) const float sinc4Tab[FRACTIONONE][4] = {\n");
for(pi = 0;pi < FRACTIONONE;pi++)
fprintf(stdout, " { %+14.9ef, %+14.9ef, %+14.9ef, %+14.9ef },\n",
filter[pi][0], filter[pi][1], filter[pi][2], filter[pi][3]);
fprintf(stdout, "};\n\n");
}
int main(void)
{
BsiGenerateTables();
Sinc4GenerateTables();
return 0;
}
|