Compressive Sensing Using the Entropy Functional

نویسندگان

  • Kivanç Köse
  • Osman Günay
  • A. Enis Çetin
چکیده

In most compressive sensing problems l1 norm is used during the signal reconstruction process. In this article the use of entropy functional is proposed to approximate the l1 norm. A modified version of the entropy functional is continuous, differentiable and convex. Therefore, it is possible to construct globally convergent iterative algorithms using Bregman’s row action D-projection method for compressive sensing applications. Simulation examples are presented. Index Terms Compressive Sensing, Entropy functional, Iterative row-action methods, D-Projection.

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Compressive sensing using the modified entropy functional

Article history: Available online 2 October 2013

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عنوان ژورنال:
  • CoRR

دوره abs/1101.5079  شماره 

صفحات  -

تاریخ انتشار 2011