Mercurial > hg > svcore
diff base/ColumnOp.cpp @ 1267:1d8418cca63a 3.0-integration
Further column op tests and fixes
author | Chris Cannam |
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date | Thu, 17 Nov 2016 14:46:03 +0000 |
parents | |
children | 2f468f43c02c |
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--- /dev/null Thu Jan 01 00:00:00 1970 +0000 +++ b/base/ColumnOp.cpp Thu Nov 17 14:46:03 2016 +0000 @@ -0,0 +1,162 @@ +/* -*- c-basic-offset: 4 indent-tabs-mode: nil -*- vi:set ts=8 sts=4 sw=4: */ + +/* + Sonic Visualiser + An audio file viewer and annotation editor. + Centre for Digital Music, Queen Mary, University of London. + This file copyright 2006-2016 Chris Cannam and QMUL. + + This program is free software; you can redistribute it and/or + modify it under the terms of the GNU General Public License as + published by the Free Software Foundation; either version 2 of the + License, or (at your option) any later version. See the file + COPYING included with this distribution for more information. +*/ + +#include "ColumnOp.h" + +#include <cmath> +#include <algorithm> +#include <iostream> + +using namespace std; + +ColumnOp::Column +ColumnOp::fftScale(const Column &in, int fftSize) +{ + return applyGain(in, 2.0 / fftSize); +} + +ColumnOp::Column +ColumnOp::peakPick(const Column &in) +{ + vector<float> out(in.size(), 0.f); + + for (int i = 0; in_range_for(in, i); ++i) { + if (isPeak(in, i)) { + out[i] = in[i]; + } + } + + return out; +} + +ColumnOp::Column +ColumnOp::normalize(const Column &in, ColumnNormalization n) { + + if (n == ColumnNormalization::None || in.empty()) { + return in; + } + + float scale = 1.f; + + if (n == ColumnNormalization::Sum1) { + + float sum = 0.f; + + for (auto v: in) { + sum += fabsf(v); + } + + if (sum != 0.f) { + scale = 1.f / sum; + } + + } else { + + float max = 0.f; + + for (auto v: in) { + v = fabsf(v); + if (v > max) { + max = v; + } + } + + if (n == ColumnNormalization::Max1) { + if (max != 0.f) { + scale = 1.f / max; + } + } else if (n == ColumnNormalization::Hybrid) { + if (max > 0.f) { + scale = log10f(max + 1.f) / max; + } + } + } + + return applyGain(in, scale); +} + +ColumnOp::Column +ColumnOp::distribute(const Column &in, + int h, + const vector<double> &binfory, + int minbin, + bool interpolate) +{ + vector<float> out(h, 0.f); + int bins = int(in.size()); + + for (int y = 0; y < h; ++y) { + + if (interpolate && h > bins) { + + double sy = binfory[y] - minbin - 0.5; + double syf = floor(sy); + + int mainbin = int(syf); + int other = mainbin; + if (sy > syf) { + other = mainbin + 1; + } else if (sy < syf) { + other = mainbin - 1; + } + + if (mainbin < 0) { + mainbin = 0; + } + if (mainbin >= bins) { + mainbin = bins - 1; + } + + if (other < 0) { + other = 0; + } + if (other >= bins) { + other = bins - 1; + } + + double prop = 1.0 - fabs(sy - syf); + + double v0 = in[mainbin]; + double v1 = in[other]; + + out[y] = float(prop * v0 + (1.0 - prop) * v1); + + } else { + + double sy0 = binfory[y] - minbin; + + double sy1; + if (y+1 < h) { + sy1 = binfory[y+1] - minbin; + } else { + sy1 = bins; + } + + int by0 = int(sy0 + 0.0001); + int by1 = int(sy1 + 0.0001); + + for (int bin = by0; bin == by0 || bin < by1; ++bin) { + + float value = in[bin]; + + if (bin == by0 || value > out[y]) { + out[y] = value; + } + } + } + } + + return out; +}