Python implementation of various Compressed Sensing algorithms, some of them originally implemented in Matlab. Algorithms implemented: - l1 minimization from l1magic - Orthogonal Matching Pursuit - Smoothed L0 - Greedy Analysis Pursuit - NESTA - Two Stage Thresholding - Analysis-By-Synthesis (my paper)
Not thoroughly tested, but I use them for my research. Use at own risk.
The code can also be forked or downloaded from https://github.com/nikcleju/pyCSalgos
TODO: Figure out how to actually get changelog content.
Changelog content for this version goes here.