#CompressedSensing
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