Two dimensional sparse signal reconstruction via 2D inverse-free sparse Bayesian learning

摘要

＜正＞Dear editor,With the ability to reconstruct signals represented using sparse bases in a certain transform domain from an incomplete set of samples, sparse signal recovery（SSR） has been used in various applications. The reported SSR algorithms include basis pursuit（BP） [1], orthogonal matching pursuit（OMP） [2], and sparse Bayesian learning（SBL） [3, 4].