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 Rewieghted 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