A GAMP Based Low Complexity Sparse Bayesian Learning Algorithm

no code implementations • 8 Mar 2017 • 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-Maximization (EM)-based sparse Bayesian learning (SBL).

Rectified Gaussian Scale Mixtures and the Sparse Non-Negative Least Squares Problem

no code implementations • 22 Jan 2016 • Alican Nalci, Igor Fedorov, Maher Al-Shoukairi, Thomas T. Liu, Bhaskar D. Rao

We refer to the proposed method as rectified sparse Bayesian learning (R-SBL).