Jun 2, 2017 · Abstract: Support recovery of sparse signals via orthogonal matching pursuit (OMP) has been extensively studied in recent years.

Abstract—Support recovery of sparse signals via orthogonal matching pursuit (OMP) has been extensively studied in recent years. In this paper, by exploiting ...

Support recovery of sparse signals via orthogonal matching pursuit (OMP) has been extensively studied in recent years. In this paper, by exploiting the ...

In this paper, we use the block orthogonal matching pursuit (BOMP) algorithm to recover block sparse signals x from measurements y = A x + v , where v is an ...

This paper shows that for any K-sparse signal x, if the sensing matrix A satisfies the restricted isometry property (RIP) of order K+1 withricted isometry ...

Abstract. This paper aims to investigate sufficient conditions for the recovery of sparse signals via the orthogonal matching pursuit (OMP) algorithm.

Some new results about sufficient conditions for exact support recovery of sparse signals via orthogonal matching pursuit. IEEE Transactions on Signal ...

Abstract—Support recovery of sparse signals from noisy mea- surements with orthogonal matching pursuit (OMP) has been extensively studied.

PDF | Support recovery of sparse signals from noisy measurements with orthogonal matching pursuit (OMP) has been extensively studied. In this paper, we.

Bibliographic details on Some New Results About Sufficient Conditions for Exact Support Recovery of Sparse Signals via Orthogonal Matching Pursuit.