1. In Julia fft(A) is the 2d DFT of A. You can get MATLAB's behavior with fft(A, 1)
2. I might not understand what you are trying to do, but it appears to me that you can just apply the DFT to the full vector and then sample the elements of the vector. 2015-05-10 22:32 GMT-04:00 Edward Chen <[email protected]>: > To whom it may concern: > > 2 issues: > > 1. In MATLAB, we can form an nxn FFT matrix by doing fft(eye(n)). In > Julia, doing fft(eye(n)) doesn't seem to be giving me the same result. > 2. I am actually interested in randomly sampling the rows of a FFT > matrix, and doing matrix-vector multiples with only those rows. I was > wondering if there was a way to use plan_fft to get the nlogn flop speed > using plan_fft in this case. > > > Thanks! > Ed >
