Multiple-measurement vector based implementation for single-measurement vector sparse Bayesian learning with reduced complexity

Sparse Bayesian learning (SBL) has high computational complexity associated with matrix inversion in each iteration. In this paper, we investigate complexity reduced multiplemeasurement vector (MMV) based implementation for single-measurement vector SBL problems. For problems with special structured sensing matrices, we propose two suboptimal SBL schemes… CONTINUE READING