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137 lines
5.7 KiB
C++
137 lines
5.7 KiB
C++
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// This file is part of Eigen, a lightweight C++ template library
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// for linear algebra. Eigen itself is part of the KDE project.
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//
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// Copyright (C) 2009 Mark Borgerding mark a borgerding net
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//
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// Eigen is free software; you can redistribute it and/or
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// modify it under the terms of the GNU Lesser General Public
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// License as published by the Free Software Foundation; either
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// version 3 of the License, or (at your option) any later version.
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//
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// Alternatively, you can redistribute it and/or
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// modify it under the terms of the GNU General Public License as
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// published by the Free Software Foundation; either version 2 of
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// the License, or (at your option) any later version.
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//
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// Eigen is distributed in the hope that it will be useful, but WITHOUT ANY
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// WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS
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// FOR A PARTICULAR PURPOSE. See the GNU Lesser General Public License or 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 Lesser General Public
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// License and a copy of the GNU General Public License along with
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// Eigen. If not, see <http://www.gnu.org/licenses/>.
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#include "main.h"
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#include <fftw3.h>
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#include <unsupported/Eigen/FFT>
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using namespace std;
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float norm(float x) {return x*x;}
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double norm(double x) {return x*x;}
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long double norm(long double x) {return x*x;}
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template < typename T>
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complex<long double> promote(complex<T> x) { return complex<long double>(x.real(),x.imag()); }
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complex<long double> promote(float x) { return complex<long double>( x); }
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complex<long double> promote(double x) { return complex<long double>( x); }
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complex<long double> promote(long double x) { return complex<long double>( x); }
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template <typename T1,typename T2>
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long double fft_rmse( const vector<T1> & fftbuf,const vector<T2> & timebuf)
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{
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long double totalpower=0;
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long double difpower=0;
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cerr <<"idx\ttruth\t\tvalue\t|dif|=\n";
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for (size_t k0=0;k0<fftbuf.size();++k0) {
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complex<long double> acc = 0;
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long double phinc = -2.*k0* M_PIl / timebuf.size();
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for (size_t k1=0;k1<timebuf.size();++k1) {
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acc += promote( timebuf[k1] ) * exp( complex<long double>(0,k1*phinc) );
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}
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totalpower += norm(acc);
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complex<long double> x = promote(fftbuf[k0]);
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complex<long double> dif = acc - x;
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difpower += norm(dif);
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cerr << k0 << "\t" << acc << "\t" << x << "\t" << sqrt(norm(dif)) << endl;
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}
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cerr << "rmse:" << sqrt(difpower/totalpower) << endl;
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return sqrt(difpower/totalpower);
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}
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template <typename T1,typename T2>
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long double dif_rmse( const vector<T1> buf1,const vector<T2> buf2)
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{
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long double totalpower=0;
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long double difpower=0;
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size_t n = min( buf1.size(),buf2.size() );
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for (size_t k=0;k<n;++k) {
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totalpower += (norm( buf1[k] ) + norm(buf2[k]) )/2.;
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difpower += norm(buf1[k] - buf2[k]);
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}
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return sqrt(difpower/totalpower);
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}
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template <class T>
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void test_scalar(int nfft)
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{
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typedef typename Eigen::FFT<T>::Complex Complex;
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typedef typename Eigen::FFT<T>::Scalar Scalar;
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FFT<T> fft;
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vector<Scalar> inbuf(nfft);
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vector<Complex> outbuf;
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for (int k=0;k<nfft;++k)
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inbuf[k]= (T)(rand()/(double)RAND_MAX - .5);
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fft.fwd( outbuf,inbuf);
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VERIFY( fft_rmse(outbuf,inbuf) < test_precision<T>() );// gross check
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vector<Scalar> buf3;
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fft.inv( buf3 , outbuf);
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VERIFY( dif_rmse(inbuf,buf3) < test_precision<T>() );// gross check
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}
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template <class T>
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void test_complex(int nfft)
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{
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typedef typename Eigen::FFT<T>::Complex Complex;
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FFT<T> fft;
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vector<Complex> inbuf(nfft);
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vector<Complex> outbuf;
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vector<Complex> buf3;
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for (int k=0;k<nfft;++k)
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inbuf[k]= Complex( (T)(rand()/(double)RAND_MAX - .5), (T)(rand()/(double)RAND_MAX - .5) );
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fft.fwd( outbuf , inbuf);
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VERIFY( fft_rmse(outbuf,inbuf) < test_precision<T>() );// gross check
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fft.inv( buf3 , outbuf);
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VERIFY( dif_rmse(inbuf,buf3) < test_precision<T>() );// gross check
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}
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void test_FFTW()
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{
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CALL_SUBTEST( test_complex<float>(32) ); CALL_SUBTEST( test_complex<double>(32) ); CALL_SUBTEST( test_complex<long double>(32) );
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CALL_SUBTEST( test_complex<float>(256) ); CALL_SUBTEST( test_complex<double>(256) ); CALL_SUBTEST( test_complex<long double>(256) );
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CALL_SUBTEST( test_complex<float>(3*8) ); CALL_SUBTEST( test_complex<double>(3*8) ); CALL_SUBTEST( test_complex<long double>(3*8) );
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CALL_SUBTEST( test_complex<float>(5*32) ); CALL_SUBTEST( test_complex<double>(5*32) ); CALL_SUBTEST( test_complex<long double>(5*32) );
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CALL_SUBTEST( test_complex<float>(2*3*4) ); CALL_SUBTEST( test_complex<double>(2*3*4) ); CALL_SUBTEST( test_complex<long double>(2*3*4) );
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CALL_SUBTEST( test_complex<float>(2*3*4*5) ); CALL_SUBTEST( test_complex<double>(2*3*4*5) ); CALL_SUBTEST( test_complex<long double>(2*3*4*5) );
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CALL_SUBTEST( test_complex<float>(2*3*4*5*7) ); CALL_SUBTEST( test_complex<double>(2*3*4*5*7) ); CALL_SUBTEST( test_complex<long double>(2*3*4*5*7) );
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CALL_SUBTEST( test_scalar<float>(32) ); CALL_SUBTEST( test_scalar<double>(32) ); CALL_SUBTEST( test_scalar<long double>(32) );
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CALL_SUBTEST( test_scalar<float>(45) ); CALL_SUBTEST( test_scalar<double>(45) ); CALL_SUBTEST( test_scalar<long double>(45) );
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CALL_SUBTEST( test_scalar<float>(50) ); CALL_SUBTEST( test_scalar<double>(50) ); CALL_SUBTEST( test_scalar<long double>(50) );
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CALL_SUBTEST( test_scalar<float>(256) ); CALL_SUBTEST( test_scalar<double>(256) ); CALL_SUBTEST( test_scalar<long double>(256) );
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CALL_SUBTEST( test_scalar<float>(2*3*4*5*7) ); CALL_SUBTEST( test_scalar<double>(2*3*4*5*7) ); CALL_SUBTEST( test_scalar<long double>(2*3*4*5*7) );
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}
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