How to parallelize this code or make it more efficient

2017 2 8
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更新时间：2017 2 8
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I'm doing 3D fft and I would like to parallelize this code if possible, or at least make it more efficient.
Dim=size(y);
N1_FFT=2*2^nextpow2(Dim(1));
N2_FFT=2*2^nextpow2(Dim(2));
N3_FFT=2*2^nextpow2(Dim(3));
N_FFT=[N1_FFT,N2_FFT,N3_FFT];
%Calculate 3D fft
CostFunction3=y;
for p = 1:length(size(y))
CostFunction3 = fft(CostFunction3,N_FFT(p),p);
end
CostFunction3 = fftshift(abs(CostFunction3).^2);
Edit: forgot to mention, y is a 3D matrix with signal samples

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Adam
Adam 2017-2-8
If y is a vector how is this a 3D FFT?
Also you should use
ndims(y)
if you want to loop over the number of dimensions, which is what length( size(y) ) will give you, but in your case, if y is a vector this will return 2 which is not helpful really anyway because one of those dimensions will be a singleton.
Omar Hammouda
Omar Hammouda 2017-2-8
编辑：Omar Hammouda 2017-2-8
Sorry for not being clear, y is a 3D matrix 256x256x256
also I forgot to add this part for calculating the N_FFT
Dim=size(y);
N1_FFT=2*2^nextpow2(Dim(1));
N2_FFT=2*2^nextpow2(Dim(2));
N3_FFT=2*2^nextpow2(Dim(3));
N_FFT=[N1_FFT,N2_FFT,N3_FFT];
I've fixed my question, thanks for noting the mistakes

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