From 5066910bf50156479dbdad0164d5306c500b77af Mon Sep 17 00:00:00 2001 From: "Ryan C. Gordon" Date: Sun, 10 Apr 2022 13:44:01 -0400 Subject: [PATCH] audio: Make pregenerated resampler kaiser filter more precise. --- build-scripts/gen_audio_resampler_filter.c | 8 +- src/audio/SDL_audio_resampler_filter.h | 1880 +++++++++++--------- 2 files changed, 1030 insertions(+), 858 deletions(-) diff --git a/build-scripts/gen_audio_resampler_filter.c b/build-scripts/gen_audio_resampler_filter.c index fbc5c905d..4a343fb63 100644 --- a/build-scripts/gen_audio_resampler_filter.c +++ b/build-scripts/gen_audio_resampler_filter.c @@ -141,16 +141,16 @@ int main(void) ); printf("static const float ResamplerFilter[RESAMPLER_FILTER_SIZE] = {\n"); - printf(" %ff", ResamplerFilter[0]); + printf(" %.9ff", ResamplerFilter[0]); for (i = 0; i < RESAMPLER_FILTER_SIZE-1; i++) { - printf("%s%ff", ((i % 6) == 5) ? ",\n " : ", ", ResamplerFilter[i+1]); + printf("%s%.9ff", ((i % 5) == 4) ? ",\n " : ", ", ResamplerFilter[i+1]); } printf("\n};\n\n"); printf("static const float ResamplerFilterDifference[RESAMPLER_FILTER_SIZE] = {\n"); - printf(" %ff", ResamplerFilterDifference[0]); + printf(" %.9ff", ResamplerFilterDifference[0]); for (i = 0; i < RESAMPLER_FILTER_SIZE-1; i++) { - printf("%s%ff", ((i % 6) == 5) ? ",\n " : ", ", ResamplerFilterDifference[i+1]); + printf("%s%.9ff", ((i % 5) == 4) ? ",\n " : ", ", ResamplerFilterDifference[i+1]); } printf("\n};\n\n"); printf("/* vi: set ts=4 sw=4 expandtab: */\n\n"); diff --git a/src/audio/SDL_audio_resampler_filter.h b/src/audio/SDL_audio_resampler_filter.h index 7725d6499..9b4728c3b 100644 --- a/src/audio/SDL_audio_resampler_filter.h +++ b/src/audio/SDL_audio_resampler_filter.h @@ -27,863 +27,1035 @@ #define RESAMPLER_FILTER_SIZE ((RESAMPLER_SAMPLES_PER_ZERO_CROSSING * RESAMPLER_ZERO_CROSSINGS) + 1) static const float ResamplerFilter[RESAMPLER_FILTER_SIZE] = { - 1.000000f, 0.999994f, 0.999974f, 0.999941f, 0.999895f, 0.999834f, - 0.999760f, 0.999672f, 0.999571f, 0.999456f, 0.999327f, 0.999185f, - 0.999029f, 0.998859f, 0.998676f, 0.998479f, 0.998269f, 0.998044f, - 0.997807f, 0.997555f, 0.997290f, 0.997012f, 0.996720f, 0.996414f, - 0.996094f, 0.995762f, 0.995415f, 0.995055f, 0.994682f, 0.994295f, - 0.993894f, 0.993480f, 0.993052f, 0.992611f, 0.992157f, 0.991689f, - 0.991207f, 0.990713f, 0.990204f, 0.989683f, 0.989148f, 0.988599f, - 0.988037f, 0.987462f, 0.986874f, 0.986272f, 0.985657f, 0.985028f, - 0.984387f, 0.983732f, 0.983064f, 0.982382f, 0.981688f, 0.980980f, - 0.980259f, 0.979525f, 0.978778f, 0.978018f, 0.977245f, 0.976458f, - 0.975659f, 0.974847f, 0.974021f, 0.973183f, 0.972332f, 0.971468f, - 0.970591f, 0.969701f, 0.968798f, 0.967882f, 0.966954f, 0.966013f, - 0.965059f, 0.964092f, 0.963113f, 0.962120f, 0.961116f, 0.960098f, - 0.959068f, 0.958026f, 0.956971f, 0.955903f, 0.954823f, 0.953731f, - 0.952626f, 0.951509f, 0.950379f, 0.949237f, 0.948083f, 0.946917f, - 0.945738f, 0.944547f, 0.943344f, 0.942128f, 0.940901f, 0.939661f, - 0.938410f, 0.937146f, 0.935871f, 0.934583f, 0.933284f, 0.931973f, - 0.930650f, 0.929315f, 0.927968f, 0.926610f, 0.925240f, 0.923858f, - 0.922465f, 0.921060f, 0.919644f, 0.918216f, 0.916776f, 0.915325f, - 0.913863f, 0.912390f, 0.910905f, 0.909408f, 0.907901f, 0.906382f, - 0.904853f, 0.903312f, 0.901760f, 0.900197f, 0.898623f, 0.897038f, - 0.895442f, 0.893835f, 0.892218f, 0.890590f, 0.888951f, 0.887301f, - 0.885641f, 0.883970f, 0.882288f, 0.880596f, 0.878894f, 0.877181f, - 0.875457f, 0.873724f, 0.871980f, 0.870226f, 0.868461f, 0.866687f, - 0.864902f, 0.863107f, 0.861303f, 0.859488f, 0.857664f, 0.855829f, - 0.853985f, 0.852131f, 0.850267f, 0.848394f, 0.846511f, 0.844618f, - 0.842716f, 0.840805f, 0.838884f, 0.836953f, 0.835014f, 0.833065f, - 0.831107f, 0.829139f, 0.827163f, 0.825177f, 0.823183f, 0.821179f, - 0.819167f, 0.817146f, 0.815116f, 0.813077f, 0.811029f, 0.808973f, - 0.806909f, 0.804835f, 0.802754f, 0.800664f, 0.798565f, 0.796458f, - 0.794343f, 0.792220f, 0.790088f, 0.787949f, 0.785801f, 0.783645f, - 0.781482f, 0.779310f, 0.777131f, 0.774944f, 0.772750f, 0.770547f, - 0.768337f, 0.766120f, 0.763895f, 0.761662f, 0.759423f, 0.757176f, - 0.754921f, 0.752660f, 0.750391f, 0.748115f, 0.745833f, 0.743543f, - 0.741246f, 0.738943f, 0.736633f, 0.734316f, 0.731992f, 0.729662f, - 0.727325f, 0.724982f, 0.722632f, 0.720276f, 0.717914f, 0.715545f, - 0.713171f, 0.710790f, 0.708403f, 0.706010f, 0.703611f, 0.701206f, - 0.698795f, 0.696379f, 0.693957f, 0.691529f, 0.689096f, 0.686657f, - 0.684213f, 0.681763f, 0.679308f, 0.676847f, 0.674382f, 0.671911f, - 0.669436f, 0.666955f, 0.664469f, 0.661978f, 0.659483f, 0.656983f, - 0.654477f, 0.651968f, 0.649454f, 0.646935f, 0.644412f, 0.641884f, - 0.639352f, 0.636816f, 0.634275f, 0.631731f, 0.629182f, 0.626629f, - 0.624072f, 0.621512f, 0.618947f, 0.616379f, 0.613807f, 0.611232f, - 0.608652f, 0.606070f, 0.603484f, 0.600894f, 0.598301f, 0.595705f, - 0.593106f, 0.590503f, 0.587898f, 0.585289f, 0.582677f, 0.580063f, - 0.577446f, 0.574826f, 0.572203f, 0.569578f, 0.566950f, 0.564319f, - 0.561686f, 0.559051f, 0.556414f, 0.553774f, 0.551132f, 0.548488f, - 0.545841f, 0.543193f, 0.540543f, 0.537891f, 0.535237f, 0.532582f, - 0.529924f, 0.527265f, 0.524605f, 0.521943f, 0.519280f, 0.516615f, - 0.513949f, 0.511281f, 0.508613f, 0.505943f, 0.503273f, 0.500601f, - 0.497928f, 0.495255f, 0.492581f, 0.489906f, 0.487230f, 0.484554f, - 0.481877f, 0.479199f, 0.476522f, 0.473843f, 0.471165f, 0.468486f, - 0.465807f, 0.463128f, 0.460449f, 0.457770f, 0.455091f, 0.452412f, - 0.449733f, 0.447055f, 0.444377f, 0.441699f, 0.439022f, 0.436345f, - 0.433668f, 0.430993f, 0.428318f, 0.425643f, 0.422970f, 0.420297f, - 0.417625f, 0.414955f, 0.412285f, 0.409616f, 0.406949f, 0.404282f, - 0.401617f, 0.398954f, 0.396291f, 0.393631f, 0.390971f, 0.388314f, - 0.385657f, 0.383003f, 0.380350f, 0.377699f, 0.375050f, 0.372403f, - 0.369758f, 0.367115f, 0.364474f, 0.361835f, 0.359198f, 0.356564f, - 0.353932f, 0.351302f, 0.348675f, 0.346050f, 0.343428f, 0.340808f, - 0.338191f, 0.335577f, 0.332965f, 0.330357f, 0.327751f, 0.325148f, - 0.322548f, 0.319951f, 0.317358f, 0.314767f, 0.312180f, 0.309596f, - 0.307015f, 0.304437f, 0.301863f, 0.299293f, 0.296726f, 0.294162f, - 0.291603f, 0.289047f, 0.286494f, 0.283946f, 0.281401f, 0.278860f, - 0.276323f, 0.273791f, 0.271262f, 0.268737f, 0.266217f, 0.263700f, - 0.261188f, 0.258680f, 0.256177f, 0.253678f, 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0.000081878f, 0.000079402f, + 0.000076960f, 0.000074552f, 0.000072179f, 0.000069839f, 0.000067534f, + 0.000065261f, 0.000063023f, 0.000060817f, 0.000058645f, 0.000056506f, + 0.000054399f, 0.000052326f, 0.000050284f, 0.000048275f, 0.000046299f, + 0.000044354f, 0.000042441f, 0.000040560f, 0.000038710f, 0.000036891f, + 0.000035104f, 0.000033348f, 0.000031622f, 0.000029927f, 0.000028263f, + 0.000026628f, 0.000025024f, 0.000023450f, 0.000021905f, 0.000020390f, + 0.000018904f, 0.000017447f, 0.000016019f, 0.000014620f, 0.000013249f, + 0.000011907f, 0.000010593f, 0.000009307f, 0.000008048f, 0.000006818f, + 0.000005614f, 0.000004438f, 0.000003288f, 0.000002166f, 0.000001070f, + -0.000000000f }; static const float ResamplerFilterDifference[RESAMPLER_FILTER_SIZE] = { - -0.000006f, -0.000019f, -0.000033f, -0.000047f, -0.000060f, -0.000074f, - -0.000088f, -0.000101f, -0.000115f, -0.000129f, -0.000142f, -0.000156f, - -0.000170f, -0.000183f, -0.000197f, -0.000211f, -0.000224f, -0.000238f, - 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