Total Variation Sparse Bayesian Learning for Block Sparsity via Majorization-Minimization

Yanbin He, Geethu Joseph

Block sparsity is a widely exploited structure in sparse recovery, offering significant gains when signal blocks are known. Yet, practical signals often exhibit unknown block bound…