Analysis of generalised orthogonal matching pursuit using restricted isometry constant

Isometry (Riemannian geometry) Restricted isometry property Constant (computer programming) SIGNAL (programming language) Signal reconstruction
DOI: 10.1049/el.2014.1012 Publication Date: 2014-06-30T18:30:24Z
ABSTRACT
In compressive sensing, the generalised orthogonal matching pursuit (gOMP) algorithm is one kind of sparse signal recovery algorithm, which generalises OMP by selecting a fixed number atoms at each iteration. Restricted isometry constant-based sufficient conditions to guarantee correct support identification and successful using gOMP in noiseless case are proposed. The proposed bounds more relaxed compared with existing ones.
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