📄 ifft2.cpp
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#include "NumMeth.h"void fft( Matrix& RealA, Matrix& ImagA);void ifft2( Matrix& RealA, Matrix& ImagA) {// Routine to compute inverse two dimensional Fourier transform // using FFT algorithm// Inputs// RealA, ImagA Real and imaginary parts of transform array// Outputs// RealA, ImagA Real and imaginary parts of data array int i, j, N = RealA.nRow(); Matrix RealT(N), ImagT(N); // Temporary work vector //* Loop over the columns of the matrix
for( j=1; j<=N; j++ ) { //* Copy out a column into a vector and take its complex conjugate
for( i=1; i<=N; i++ ) { RealT(i) = RealA(i,j); ImagT(i) = -1.0*ImagA(i,j); } //* Take FFT of the vector
fft(RealT,ImagT); //* Copy the transformed vector back into the column
for( i=1; i<=N; i++ ) { RealA(i,j) = RealT(i); ImagA(i,j) = ImagT(i); } } //* Loop over the rows of the matrix
double invN2 = 1.0/(N*N); for( i=1; i<=N; i++ ) { //* Copy out a row into a vector and take its complex conjugate
for( j=1; j<=N; j++ ) { RealT(j) = RealA(i,j); ImagT(j) = ImagA(i,j); } //* Take FFT of the vector
fft(RealT,ImagT); //* Copy the transformed vector back, taking its complex conjugate
// and applying the 1/N normalization
for( j=1; j<=N; j++ ) { RealA(i,j) = RealT(j)*invN2; ImagA(i,j) = -1.0*ImagT(j)*invN2; } }}
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