A MATLAB library for sparse representation problems

Functional models and algorithms for sparse signal processing

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.

Sparse representation solvers for P0- and P1-problems

C++/Eigen3 implementation of the L1-norm minimization using homotopy

Extending Sparse Dictionary Learning Methods for Adversarial Robustness

Exploring the utility of surface approximation using non-radial basis functions.

Code related to Optimization Techniques