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 :),

Mark Iwen

Project Activity

See All Activity >

Categories

Mathematics, Physics

License

Academic Free License (AFL)

Follow MSU's Sparse Fourier Repository

MSU's Sparse Fourier Repository Web Site

You Might Also Like
Easy to use, low cost, risk management software. Icon
Easy to use, low cost, risk management software.

GOAT’s simple, secure tool helps users collaborate, manage, track and report on business risks from anywhere in the world.

With GOAT’s simple, secure, low cost risk management software tool, you can collaborate, manage, track and report on your business risks anywhere in the world, all for the price of a daily coffee.
Learn More
Rate This Project
Login To Rate This Project

User Reviews

Be the first to post a review of MSU's Sparse Fourier Repository!

Additional Project Details

Intended Audience

Science/Research, Developers

User Interface

Command-line

Programming Language

C++

Related Categories

C++ Mathematics Software, C++ Physics Software

Registered

2008-07-23