mirror of
https://github.com/aportelli/LatAnalyze.git
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95 lines
3.1 KiB
C++
95 lines
3.1 KiB
C++
/*
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* sample-ft.cpp, part of LatAnalyze 3
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*
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* Copyright (C) 2013 - 2016 Antonin Portelli
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*
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* LatAnalyze 3 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 3 of the License, or
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* (at your option) any later version.
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*
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* LatAnalyze 3 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
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* along with LatAnalyze 3. If not, see <http://www.gnu.org/licenses/>.
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*/
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#include <LatAnalyze/Core/OptParser.hpp>
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#include <LatAnalyze/Numerical/GslFFT.hpp>
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#include <LatAnalyze/Io/Io.hpp>
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using namespace std;
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using namespace Latan;
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int main(int argc, char *argv[])
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{
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// argument parsing ////////////////////////////////////////////////////////
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OptParser opt;
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bool parsed;
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string inFilename, outFilename;
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unsigned int dir = FFT::Forward;
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opt.addOption("o", "output", OptParser::OptType::value , true,
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"output file name (default: result not saved)", "");
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opt.addOption("b", "backward", OptParser::OptType::trigger, true,
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"backward Fourier transform (forward by default)");
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opt.addOption("" , "help" , OptParser::OptType::trigger, true,
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"show this help message and exit");
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parsed = opt.parse(argc, argv);
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if (!parsed or (opt.getArgs().size() != 1) or opt.gotOption("help"))
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{
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cerr << "usage: " << argv[0];
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cerr << " <options> <input file>" << endl;
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cerr << endl << "Possible options:" << endl << opt << endl;
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return EXIT_FAILURE;
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}
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inFilename = opt.getArgs()[0];
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outFilename = opt.optionValue("o");
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if (opt.gotOption("b"))
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{
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dir = FFT::Backward;
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}
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// Fourier transform ///////////////////////////////////////////////////////
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DMatSample in = Io::load<DMatSample>(inFilename);
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Index nSample = in.size(), l = in[central].rows();
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bool isInComplex = (in[central].cols() > 1);
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CMatSample res(nSample, l, 1);
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DMatSample out(nSample, l, 2);
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GslFFT ft(l);
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cout << "-- computing Fourier transform..." << endl;
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FOR_STAT_ARRAY(in, s)
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{
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res[s].real() = in[s].col(0);
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if (isInComplex)
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{
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res[s].imag() = in[s].col(1);
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}
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else
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{
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res[s].imag() = DVec::Constant(l, 0.);
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}
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ft(res[s], dir);
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out[s].col(0) = res[s].real();
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out[s].col(1) = res[s].imag();
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}
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// output /////////////////////////////////////////////////////////////////
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cout << scientific;
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cout << "central value:\n" << out[central];
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cout << endl;
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cout << "standard deviation:\n" << out.variance().cwiseSqrt();
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cout << endl;
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if (!outFilename.empty())
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{
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Io::save<DMatSample>(out, outFilename);
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}
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return EXIT_SUCCESS;
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}
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