Frames for compressed sensing using coherence

Authors

  • G. Zamani Eskandani Faculty of Sciences, Department of Mathematics, University of Tabriz, Tabriz, Iran
  • L. Gavruta Politehnica University of Timisoara, Department of Mathematics, Piata Victoriei no.2, 300006 Timisoara, Romania
  • P. Gavruta Politehnica University of Timisoara, Department of Mathematics, Piata Victoriei no.2, 300006 Timisoara, Romania
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 satised. Moreover, we give better estimations then the ones given recently by Cai, Wang and Xu.

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Journal title

volume 04  issue 01

pages  25- 34

publication date 2015-04-01

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