2016
An iteratively reweighted method for recovery of block-sparse signal with unknown block partition
ICASSP 2016accepted
In this paper, a new iteratively reweighted least squares method is proposed for recovery of block-sparse signals with unknown cluster patterns. In many practical applications, sparse signals have block-sparse structures with nonzero coefficients occurring in clusters, while the prior information of…