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Research Article Open access CC BY 4.0

A Note on Guaranteed Stable Recovery of Sparse Signal in Compressed Sensing via the RIP of Orders

Hiroshi Inoue

Journal of Advances in Mathematics and Computer Science · pp. 1–9 · Published 7 Jul 2015

10.9734/BJMCS/2015/18237

Abstract

In this paper, we shall continue a study of the CS-recovery of signals studied in [1]. Under the assumption that a m × n matrix A obeys the RIP of order s we decompose the space of unknown vectors into sets M0; M1; · · · ;M7 de ned by a bias function px on a good location T0 = {1; 2; · · · ; s} and research a good condition of CS-recovery.

Compressed sensing restricted isometry property sparse signal recovery

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