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).
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).