FFT and IFFT: Random Phases
    14 views (last 30 days)
  
       Show older comments
    
I imported a single audio file to MATLAB workspace.
After I apply the FFT:
Y = fft(signal)
How can I random change the audio phases before apply the Inverse FFT and get the 'new_signal'?
new_signal = ifft(Y)
How can I do it?
0 Comments
Accepted Answer
  Brittany Scheid
      
 on 16 Jun 2019
        
      Edited: Brittany Scheid
      
 on 16 Jun 2019
  
      Following the comment by David Goodmanson above, here is what I used to randomize an array of timeseries data:
function randX = phaseRandomize(X)
% Returns a phase-randomized version of the input data X. If X is an array,
% each row is treated as an independant time series, and columns represent
% sample points. 
[N,L]=size(X);
Y=fft(X,[],2); % Get spectrum
% Add random phase shifts (negative for conjugates), preserve DC offset
rnd_theta= -pi + (2*pi).*rand(N,L/2-1); 
Y(:,2:L/2)=Y(:,2:L/2).*exp(1i*rnd_theta);
Y(:,L/2+2:L)=Y(:,L/2+2:L).*exp(-1i*flip(rnd_theta,2));
% return phase-randomized data
randX =ifft(Y,[],2);
end
2 Comments
  oloo
 on 21 Feb 2023
				Could You please provide code to revert phases back to oryginal signal? of course based on same rnd_theta. Thank You very much.
More Answers (1)
  David Goodmanson
      
      
 on 22 Mar 2019
        Hi Nycholas,
Assuming signal is real and of length n, n even, then
Y(1) is for frequency 0, the DC contribution, and it's real.  Don't mess with that point.
Y(2) and Y(n) are complex conjugates.  You can multiply one of that pair by exp(i*theta) and the other by exp(-i*theta), where theta is a random angle with 0 <= theta < 2*pi.  the new Y(2) and Y(n) remain complex conugates.
In general from k = 2 to n/2, Y(k) and Y(n+2-k) form a complex conjugate pair.  For each of those pairs, do the same kind of multiplcation as above, with a different random angle.  Each pair remain complex conjugates. 
Y(n/2+1) is real.  Don't mess with that point either.
ifft back.
Here the random phases are totally uncorrelated from frequency to frequency, which may or may not be physically realistic.   
3 Comments
  David Daminelli
 on 1 Jun 2019
				Hello NM and DG! I'm working on a project that needs this same function, and I've done an algorithm that does that. It is here https://www.mathworks.com/matlabcentral/answers/465112-help-with-sound-function, followed by a question I had during the project, if they can help it would be usefull!
See Also
Categories
				Find more on Transforms in Help Center and File Exchange
			
	Community Treasure Hunt
Find the treasures in MATLAB Central and discover how the community can help you!
Start Hunting!



