Ahmed Al Hilli

Weighted Block Sparse Bayesian Learning for Basis Selection

Block Sparse Bayesian Learning (BSBL) methods estimate a block sparse vector by maximizing the posterior distribution and using sparsity-inducing priors. In BSBL works, all hyperparameters priors are assumed to follow the same distribution with the same parameters. In this paper, we propose to assig…