125 lines
3.6 KiB
C++
125 lines
3.6 KiB
C++
/*
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* Copyright (C) 2008-2009 David Robillard <d@drobilla.net>
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*
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* This program is free software; you can redistribute it and/or modify
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* it under the terms of the GNU General Public License as published by
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* the Free Software Foundation; either version 2 of the License, or
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* (at your option) any later version.
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*
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* This program 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
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* GNU General Public License for more details.
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*
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* You should have received a copy of the GNU General Public License along
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* with this program; if not, write to the Free Software Foundation, Inc.,
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* 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA.
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*/
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#include "fft_result.h"
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#include "fft_graph.h"
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#include <cstdlib>
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#include <cstring>
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#include <string>
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#include <cmath>
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#include <algorithm>
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using namespace std;
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FFTResult::FFTResult(FFTGraph *graph, Gdk::Color color, string trackname) :
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_graph(graph),
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_windowSize(_graph->windowSize()),
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_dataSize(_windowSize / 2),
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_averages(0),
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_min_flat(0.0),
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_max_flat(0.0),
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_min_prop(0.0),
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_max_prop(0.0),
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_data_flat_avg(_dataSize, 0),
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_data_flat_max(_dataSize, FLT_MIN),
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_data_flat_min(_dataSize, FLT_MAX),
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_data_prop_avg(_dataSize, 0),
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_data_prop_max(_dataSize, FLT_MIN),
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_data_prop_min(_dataSize, FLT_MAX),
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_color(color),
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_trackname(trackname)
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{}
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void
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FFTResult::analyzeWindow(float *window)
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{
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float const * const _hanning = _graph->_hanning;
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float *_in = _graph->_in;
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float *_out = _graph->_out;
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// Copy the data and apply the hanning window
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for (unsigned int i = 0; i < _windowSize; ++i) {
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_in[i] = window[i] * _hanning[i];
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}
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fftwf_execute(_graph->_plan);
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// calculate signal power per bin
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float b = _out[0] * _out[0];
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_data_flat_avg[0] += b;
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if (b < _data_flat_min[0]) _data_flat_min[0] = b;
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if (b > _data_flat_max[0]) _data_flat_max[0] = b;
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for (unsigned int i = 1; i < _dataSize - 1; ++i) {
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b = (_out[i] * _out[i]) + (_out[_windowSize - i] * _out[_windowSize - i]);
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_data_flat_avg[i] += b;
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if (_data_flat_min[i] > b) _data_flat_min[i] = b;
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if (_data_flat_max[i] < b ) _data_flat_max[i] = b;
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}
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_averages++;
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}
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void
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FFTResult::finalize()
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{
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if (_averages == 0) {
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_min_flat = _max_flat = 0.0;
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_min_prop = _max_prop = 0.0;
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return;
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}
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// Average & scale
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for (unsigned int i = 0; i < _dataSize - 1; ++i) {
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_data_flat_avg[i] /= _averages;
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// proportional, pink spectrum @ -18dB
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_data_prop_avg[i] = _data_flat_avg [i] * i / 63.096f;
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_data_prop_min[i] = _data_flat_min [i] * i / 63.096f;
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_data_prop_max[i] = _data_flat_max [i] * i / 63.096f;
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}
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_data_prop_avg[0] = _data_flat_avg [0] / 63.096f;
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_data_prop_min[0] = _data_flat_min [0] / 63.096f;
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_data_prop_max[0] = _data_flat_max [0] / 63.096f;
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// calculate power
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for (unsigned int i = 0; i < _dataSize - 1; ++i) {
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_data_flat_min[i] = power_to_db (_data_flat_min[i]);
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_data_flat_max[i] = power_to_db (_data_flat_max[i]);
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_data_flat_avg[i] = power_to_db (_data_flat_avg[i]);
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_data_prop_min[i] = power_to_db (_data_prop_min[i]);
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_data_prop_max[i] = power_to_db (_data_prop_max[i]);
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_data_prop_avg[i] = power_to_db (_data_prop_avg[i]);
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}
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// find min & max
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_min_flat = _max_flat = _data_flat_avg[0];
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_min_prop = _max_prop = _data_prop_avg[0];
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for (unsigned int i = 1; i < _dataSize - 1; ++i) {
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_min_flat = std::min (_min_flat, _data_flat_avg[i]);
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_max_flat = std::max (_max_flat, _data_flat_avg[i]);
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_min_prop = std::min (_min_prop, _data_prop_avg[i]);
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_max_prop = std::max (_max_prop, _data_prop_avg[i]);
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}
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_averages = 0;
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}
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