Theoretical Foundations and Numerical Methods for Sparse Recovery /

Theoretical Foundations and Numerical Methods for Sparse Recovery / / ed. by Massimo Fornasier.

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The present collection is the very first contribution of this type in the field of sparse recovery. Compressed sensing is one of the important facets of the broader concept presented in the book, which by now has made connections with other branches such as mathematical imaging, inverse problems, nu...

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Bibliographic Details
Superior document:Title is part of eBook package: De Gruyter DGBA Backlist Complete English Language 2000-2014 PART1
MitwirkendeR:
Caselles, Vicent,
Chambolle, Antonin,
Cremers, Daniel,
Fornasier, Massimo,
Novaga, Matteo,
Pock, Thomas,
Ramlau, Ronny,
Rauhut, Holger,
Teschke, Gerd,
HerausgeberIn:
Fornasier, Massimo,
Place / Publishing House:Berlin ;, Boston : : De Gruyter, , [2010]
©2010
Year of Publication:2010
Language:English
Series:Radon Series on Computational and Applied Mathematics , 9
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Physical Description:1 online resource (340 p.)
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Table of Contents:
  • Frontmatter
  • Table of Contents
  • Compressive Sensing and Structured Random Matrices
  • Numerical Methods for Sparse Recovery
  • Sparse Recovery in Inverse Problems
  • An Introduction to Total Variation for Image Analysis

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