How to compute FFT?

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Afnan H.
Afnan H. on 10 May 2016
Commented: Afnan H. on 10 May 2016
Hi there
I just would like to ask, if there is an efficient way to compute the FFT without using the built-in method? Because i need the code on something else, so i found a code to compute it, however, it takes a very long time, so i would highly appreciate it if you could suggest me any way to make it more faster? thank you in advance
function z=Fast_Fourier_Transform(x,nfft)
%
j=sqrt(-1);
N=length(x);
z=zeros(1,nfft);
Sum=0;
for k=1:nfft
for jj=1:N
Sum=Sum+x(jj)*exp(-2*pi*j*(jj-1)*(k-1)/nfft);
end
z(k)=Sum;
Sum=0;% Reset
end
return

Answers (1)

John D'Errico
John D'Errico on 10 May 2016
Sorry. You are never going to make that code run as fast as FFT, or even reasonably close to it.
You can always look for a C based FFT code. There must be lots of them around.
  1 Comment
Afnan H.
Afnan H. on 10 May 2016
Thank you for your answer. But could you please clear this for me, so you mean the problem with the code itself? or that i can't implement a code that computes FFT in a fast way using Matlab?

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