The sparse Bayesian learning method (SBL) is used to estimate the posterior of the signal's sparse representation and to infer the maximally sparse representation by using the Expectation- ...

The official SuiteSparse library: a suite of sparse matrix algorithms authored or co-authored by Tim Davis, Texas A&M University.