Frames for compressed sensing using coherence

Document Type: Research Paper

Authors

1 Politehnica University of Timisoara, Department of Mathematics, Piata Victoriei no.2, 300006 Timisoara, Romania

2 Faculty of Sciences, Department of Mathematics, University of Tabriz, Tabriz, Iran

Abstract

We give some new results on sparse signal recovery in the presence of noise, for weighted spaces. Traditionally, were used dictionaries that have the norm equal to 1, but, for random dictionaries this condition is rarely satis ed. Moreover, we give better estimations then the ones given recently by Cai, Wang and Xu.

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