Zeqiang Ma

Group sparse Bayesian learning via exact and fast marginal likelihood maximization

This paper concerns sparse Bayesian learning (SBL) problem for group sparse signals. Group sparsity means that the signal components can be divided into groups, and the entries in one group are simultaneously zero or nonzero. In SBL, each group is controlled by a hyper-parameter. The marginal likeli…