Generalized notions of sparsity and restricted isometry property. Part I: a unified framework
Author:
Affiliation:
1. Department of Mathematics, University of Illinois at Urbana-Champaign, Urbana, IL, USA
2. Department of Electrical and Computer Engineering, The Ohio State University, Columbus, OH, USA
Abstract
Funder
National Science Foundation
Publisher
Oxford University Press (OUP)
Subject
Applied Mathematics,Computational Theory and Mathematics,Numerical Analysis,Statistics and Probability,Analysis
Link
http://academic.oup.com/imaiai/article-pdf/9/1/157/32931220/iay018.pdf
Reference46 articles.
1. $K$-SVD: an algorithm for designing overcomplete dictionaries for sparse representation;Aharon;IEEE Trans. Signal Process.,2006
2. A simple proof of the restricted isometry property for random matrices;Baraniuk;Constr Approx.,2008
3. One-bit compressive sensing of dictionary-sparse signals;Baraniuk;Inf. Inference,2017
4. Interpolation Spaces
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