Abstract
Recently, many applications about the recovery of block sparse signals have arisen, which can be casted as the recovery of a block sparse signal x from a measurement equation y = Φx. In this paper, we investigate block sparse signal recovery problems when Φ is assumed to be a block-concatenation of Toeplitz matrices. The algorithm of StOMP is extended to the block sparse case, and the algorithm of tBlock-StOMP is proposed. Specifically, tBlock-StOMP combines advantages of StOMP with the structural characteristics of Φ to pursue high efficiency in block sparse signal recovery. Furthermore, a modified algorithm of tBlock-StOMP, termed mtBlock-StOMP, is proposed. Compared with many other recovery algorithms, numerical simulations demonstrate that tBlock-StOMP as well as mtBlock-StOMP results in evident effectiveness in block sparse reconstruction problems.
Sign-in/Register to access full text options 
Free) 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a call
