3 accepted papers
Signal sparse representation (SR) is an evolving research topic. The sparse coding performance is highly dependent on the properties of the system matrix that are usually hard to be guaranteed. Preconditioning is a technique that transforms a linear system into another one with more favorable proper…
This paper deals with designing incoherent sparsifying dictionaries. A new framework is proposed, in which the sparse representation error and mutual coherence are embedded. An alternating minimization method is developed for solving the optimal dictionary problem. One of the significant features of…
In this paper, a distributed compressed estimation (DCE) scheme is presented based on a distributed recursive-least squares algorithm for sparse signals and systems along with a sensing matrix design procedure based on compressive sensing techniques. The D-CE scheme consists of compression and decom…