Changes between Version 14 and Version 15 of Examples/Fft2dHighpass
 Timestamp:
 05/17/10 09:18:55 (7 years ago)
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Examples/Fft2dHighpass
v14 v15 46 46  Using FFTW using Estimate mode  0.09  [http://code.haskell.org/repa/repahead/repaexamples/FFT/HighPass/legacy/c/FFTW.c FFTW.c]  47 47 48 The vector version uses the same recursive radix2 decimation in time (DIT) algorithm as the Repa version, but is not rank generalised. It applies a recursive 1d FFT to each row and then transposes the matrix, twice each. Recursive FFT algorithms tend to be slower than inplace ones because the data is copied into new vectors at each recursion. A 512 point FFT is built from two 256 point FFTs, which are build from 4 128 point FFTs and so on. The result of each FFT is a new vector which needs to be allocated and then filled.48 The vector version uses the same recursive radix2 decimation in time (DIT) algorithm as the Repa version, but is not rank generalised. It applies a recursive 1d FFT to each row and then transposes the matrix, twice. Recursive FFT algorithms tend to be slower than inplace ones because the data is copied into new vectors at each recursion. A 512 point FFT is built from two 256 point FFTs, which are build from 4 128 point FFTs and so on. The result of each FFT is a new vector which needs to be allocated and then filled. 49 49 50 50 Jones's version also uses a 1d radix2 DIT FFT kernel, but it first reorders the values then performs a inplace transform using three nested loops.