A collection of sparse Fourier transform codes developed by faculty at MSU. Currently codes for four different prototype sparse FFTs are here:
1.) DMSFT, implemented by Ruochuan Zhang. This is a fast, stable, noise robust, and *fully discrete* improvement on the ideas in GFFT below. It is THE BEST sparse FFT around!!! If you're looking for AAFFT, try this out first.
2.) AAFFT, implemented by Mark Iwen in 2008. This code is easy to use, and documented well, but not implemented very efficiently. It is much slower than it should be.
3.) GFFT, implemented by Ben Segal and Mark Iwen. This code is less easy to use, and also not terribly efficient. But, the *algorithm* itself is significantly simpler and has "essentially no parameters".
4.) MSFFT, implemented by David Lawlor and Bosu Choi. This code is fast, but is not terribly easy to use. The algorithm is robust to some noise, but requires a lot of parameter tuning.
Enjoy at your own risk :),
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