FFT of 3D array in MATLAB
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I am trying to understand how the FFT of different directions in MATLAB works to reproduce in C/C++ instead.
So far I have the following simple example in MATLAB:
clearvars; clc; close all;
%3D FFT test
Nx = 8;
Ny = 4;
Nz= 6;
Lx =16;
Ly = 6;
dx = Lx/Nx;
dy = Ly/Ny;
%-----------
xi_x = (2*pi)/Lx;
yi_y = (2*pi)/Ly;
xi = ((0:Nx-1)/Nx)*(2*pi);
yi = ((0:Ny-1)/Ny)*(2*pi);
x = xi/xi_x;
y = yi/yi_y;
zlow = 0; %a
zupp =6; %b
Lz = (zupp-zlow);
eta_zgl = 2/Lz;
[D,zgl] = cheb(Nz);
zgl = (1/2)*(((zupp-zlow)*zgl) + (zupp+zlow));
[X,Z,Y] = meshgrid(x,zgl,y); %this gives 3d grid with z-by-x-by-y size (i.e. ZXY)
%ICs
A = 2*pi / Lx;
B = 2*pi / Ly;
u = (Z-zlow) .* (Z-zupp) .* sin(A*X).* sin(B*Y);
uh1 =(fft(u,[],3));%ZXY
uh2 =(fft(u,[],1));%ZXY
uh3 =(fft(u,[],2));%ZXY
So, in C/C++ I have a 3D tensor with (Nz+1) rows and Nx coumns and Ny matrices and taking the 1D FFT along each "row" of u returns the same results as the following in MATLAB:
uh3 =(fft(u,[],2));%ZXY
While taking the 1D FFT of u along each column of u in C/C++ returns the same result as the following in MATLAB:
uh2 =(fft(u,[],1));%ZXY
Then my question is what does this 1D FFT represent? and how should I represent it in C/C++?
uh1 =(fft(u,[],3));%ZXY
The cheb(N) function is:
function [ D, x ] = cheb ( N )
if ( N == 0 )
D = 0.0;
x = 1.0;
return
end
x = cos ( pi * ( 0 : N ) / N )';
c = [ 2.0; ones(N-1,1); 2.0 ] .* (-1.0).^(0:N)';
X = repmat ( x, 1, N + 1 );
dX = X - X';
% Set the off diagonal entries.
D =( c * (1.0 ./ c )' ) ./ ( dX + ( eye ( N + 1 ) ) );
% Diagonal entries.
D = D - diag ( sum ( D' ) );
return
end
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Accepted Answer
Matt J
on 6 Aug 2024
Why reinvent the wheel. Why not just use the open source FFTW C/C++ library (which Matlab is based on).
In any case, the mathematical interpretation of Matlab's 1D FFT is in the documentation,
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