Simultaneous Structures in Convex Signal Recovery—Revisiting the Convex Combination of Norms

In compressed sensing one uses known structures of otherwise unknown signals to recover them from as few linear observations as possible. The structure comes in form of some compressibility including different notions of sparsity and low rankness. In many cases convex relaxations allow to efficientl...

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Bibliographic Details
Main Authors: Martin Kliesch, Stanislaw J. Szarek, Peter Jung
Format: Article
Language:English
Published: Frontiers Media S.A. 2019-05-01
Series:Frontiers in Applied Mathematics and Statistics
Subjects:
Online Access:https://www.frontiersin.org/article/10.3389/fams.2019.00023/full