Contains a wide-ranging collection of compressed sensing and feature selection algorithms. Examples include matching pursuit algorithms, forward and backward stepwise regression, sparse Bayesian learning, and basis pursuit.

Reverse correlation using linear regression and compressed sensing for uncovering the psychoacoustic tinnitus spectrum

Compressive sensing exploit the possibility to represent an image with a sparse representation.