Sparse Recovery Using Sparse Matrices

In this paper, we survey algorithms for sparse recovery problems that are based on sparse random matrices. Such matrices has several attractive properties: they support algorithms with low computational complexity, and make it easy to perform incremental updates to signals. We discuss applications t...

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Bibliographic Details
Main Authors: Gilbert, Anna (Author), Indyk, Piotr (Contributor)
Other Authors: Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science (Contributor)
Format: Article
Language:English
Published: Institute of Electrical and Electronics Engineers, 2012-05-24T18:31:47Z.
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