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The Library is for Finite Transforms such as the Number Theoretic Transform (NTT) and Finite Radon Transform (FRT). Current modules include NTTW for NTTs with high resolution (microsecond) timing, basic array and imaging. The transforms are optimised for performance.
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.)
C++library to generate a random noise with isotropic correlation.
It is a C++ library that implements a Fourier Filtering Method (FFM) to generate Gaussian random noise with any correlation with the only requirement of isotropy in both one and two dimensions. Unlike previous FFM that are only suitable to generate disorders whose correlation Fourier Transform (FT) has an analytical expression, it should be enlightened that the present method works with any isotropic and finite correlation, even its analytic FT does not exist.
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