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CompressedSensing

Several Compressed Sensing functions for Julia

Readme

CompressedSensing

Build Status Documentation Status

This package contains several useful algorithms for compressed sensing, multiple measurement vectors, and sparse blind source separation.

Available Algorithms

SMV - Single Measurement Vectors
  • IRLS - Equality constrained Iteratively Reweighted Least Squares Lp Minimization 1
  • UIRLS - Unconstrained Iteratively Reweighted Lease Squares Lp Minimization 1
MMV - Multiple Measurement Vectors
  • ZAP - Zeropoint Attractor 2
BSS - Sparse Blind Source Separation
  • nGMCA - Sparse non-negative Blind Source Separation 3
Quantifying Sparsity
  • GI - Absolute Gini Index 4
  • Coherence - Measuring the coherence of a measurement matrix by the definitions commonly used 5

Documentation can be found at readthedocs here

First Commit

11/05/2014

Last Touched

about 2 months ago

Commits

68 commits