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Several Compressed Sensing functions for Julia
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README.md

#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