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https://gitlab.com/libeigen/eigen.git
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added non-optimized real forward fft (no inverse yet)
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@ -57,21 +57,36 @@ class FFT
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FFT(const traits_type & traits=traits_type() ) :m_traits(traits) { }
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FFT(const traits_type & traits=traits_type() ) :m_traits(traits) { }
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void fwd( Complex * dst, const Complex * src, int nfft)
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template <typename _Input>
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void fwd( Complex * dst, const _Input * src, int nfft)
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{
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{
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m_traits.prepare(nfft,false,dst,src);
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m_traits.prepare(nfft,false,dst,src);
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m_traits.exec(dst,src);
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m_traits.exec(dst,src);
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m_traits.postprocess(dst);
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m_traits.postprocess(dst);
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}
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}
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void inv( Complex * dst, const Complex * src, int nfft)
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template <typename _Input>
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void fwd( std::vector<Complex> & dst, const std::vector<_Input> & src)
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{
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{
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m_traits.prepare(nfft,true,dst,src);
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dst.resize( src.size() );
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m_traits.exec(dst,src);
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fwd( &dst[0],&src[0],src.size() );
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m_traits.postprocess(dst);
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}
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template <typename _Output>
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void inv( _Output * dst, const Complex * src, int nfft)
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{
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m_traits.prepare(nfft,true,dst,src);
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m_traits.exec(dst,src);
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m_traits.postprocess(dst);
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}
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template <typename _Output>
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void inv( std::vector<_Output> & dst, const std::vector<Complex> & src)
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{
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dst.resize( src.size() );
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inv( &dst[0],&src[0],src.size() );
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}
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}
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// TODO: fwd,inv for Scalar
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// TODO: multi-dimensional FFTs
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// TODO: multi-dimensional FFTs
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// TODO: handle Eigen MatrixBase
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// TODO: handle Eigen MatrixBase
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@ -34,7 +34,8 @@ namespace Eigen {
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typedef std::complex<Scalar> Complex;
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typedef std::complex<Scalar> Complex;
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simple_fft_traits() : m_nfft(0) {}
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simple_fft_traits() : m_nfft(0) {}
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void prepare(int nfft,bool inverse,Complex * dst,const Complex *src)
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template <typename _Src>
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void prepare(int nfft,bool inverse,Complex * dst,const _Src *src)
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{
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{
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if (m_nfft == nfft) {
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if (m_nfft == nfft) {
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// reuse the twiddles, conjugate if necessary
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// reuse the twiddles, conjugate if necessary
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@ -73,7 +74,8 @@ namespace Eigen {
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}while(n>1);
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}while(n>1);
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}
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}
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void exec(Complex * dst, const Complex * src)
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template <typename _Src>
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void exec(Complex * dst, const _Src * src)
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{
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{
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work(0, dst, src, 1,1);
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work(0, dst, src, 1,1);
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}
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}
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@ -89,7 +91,9 @@ namespace Eigen {
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private:
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private:
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void work( int stage,Complex * Fout, const Complex * f, size_t fstride,size_t in_stride)
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template <typename _Src>
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void work( int stage,Complex * Fout, const _Src * f, size_t fstride,size_t in_stride)
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{
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{
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int p = m_stageRadix[stage];
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int p = m_stageRadix[stage];
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int m = m_stageRemainder[stage];
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int m = m_stageRemainder[stage];
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@ -25,55 +25,98 @@
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#include "main.h"
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#include "main.h"
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#include <unsupported/Eigen/FFT.h>
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#include <unsupported/Eigen/FFT.h>
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using namespace std;
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using namespace std;
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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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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 << ":" << acc << " " << x << 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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template <class T>
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void test_fft(int nfft)
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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) < 1e-5 );// 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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{
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typedef typename Eigen::FFT<T>::Complex Complex;
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typedef typename Eigen::FFT<T>::Complex Complex;
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FFT<T> fft;
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FFT<T> fft;
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vector<Complex> inbuf(nfft);
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vector<Complex> inbuf(nfft);
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vector<Complex> buf3(nfft);
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vector<Complex> outbuf;
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vector<Complex> outbuf(nfft);
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vector<Complex> buf3;
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for (int k=0;k<nfft;++k)
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for (int k=0;k<nfft;++k)
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inbuf[k]= Complex(
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inbuf[k]= Complex( (T)(rand()/(double)RAND_MAX - .5), (T)(rand()/(double)RAND_MAX - .5) );
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(T)(rand()/(double)RAND_MAX - .5),
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fft.fwd( outbuf , inbuf);
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(T)(rand()/(double)RAND_MAX - .5) );
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fft.fwd( &outbuf[0] , &inbuf[0] ,nfft);
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fft.inv( &buf3[0] , &outbuf[0] ,nfft);
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long double totalpower=0;
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VERIFY( fft_rmse(outbuf,inbuf) < 1e-5 );// gross check
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long double difpower=0;
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for (int k0=0;k0<nfft;++k0) {
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complex<long double> acc = 0;
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long double phinc = 2*k0* M_PIl / nfft;
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for (int k1=0;k1<nfft;++k1) {
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complex<long double> x(inbuf[k1].real(),inbuf[k1].imag());
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acc += x * 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(outbuf[k0].real(),outbuf[k0].imag());
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complex<long double> dif = acc - x;
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difpower += norm(dif);
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}
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long double rmse = sqrt(difpower/totalpower);
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VERIFY( rmse < 1e-5 );// gross check
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totalpower=0;
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fft.inv( buf3 , outbuf);
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difpower=0;
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for (int k=0;k<nfft;++k) {
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VERIFY( dif_rmse(inbuf,buf3) < 1e-5 );// gross check
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totalpower += norm( inbuf[k] );
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difpower += norm(inbuf[k] - buf3[k]);
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}
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rmse = sqrt(difpower/totalpower);
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VERIFY( rmse < 1e-5 );// gross check
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}
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}
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void test_FFT()
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void test_FFT()
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{
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{
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CALL_SUBTEST(( test_fft<float>(32) )); CALL_SUBTEST(( test_fft<double>(32) )); CALL_SUBTEST(( test_fft<long double>(32) ));
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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_fft<float>(1024) )); CALL_SUBTEST(( test_fft<double>(1024) )); CALL_SUBTEST(( test_fft<long double>(1024) ));
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CALL_SUBTEST( test_complex<float>(1024) ); CALL_SUBTEST( test_complex<double>(1024) ); CALL_SUBTEST( test_complex<long double>(1024) );
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CALL_SUBTEST(( test_fft<float>(2*3*4*5*7) )); CALL_SUBTEST(( test_fft<double>(2*3*4*5*7) )); CALL_SUBTEST(( test_fft<long double>(2*3*4*5*7) ));
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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>(1024) ); CALL_SUBTEST( test_scalar<double>(1024) ); CALL_SUBTEST( test_scalar<long double>(1024) );
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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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}
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