2 papers
cs.LG2017
A GAMP Based Low Complexity Sparse Bayesian Learning Algorithm
Maher Al-Shoukairi, Philip Schniter, Bhaskar D. Rao
In this paper, we present an algorithm for the sparse signal recovery problem that incorporates damped Gaussian generalized approximate message passing (GGAMP) into Expectation-Max…
cs.LG2016
Rectified Gaussian Scale Mixtures and the Sparse Non-Negative Least Squares Problem
Alican Nalci, Igor Fedorov, Maher Al-Shoukairi +2
In this paper, we develop a Bayesian evidence maximization framework to solve the sparse non-negative least squares (S-NNLS) problem. We introduce a family of probability densities…