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
Published in:	Proceedings of the IEEE Vol. 98; no. 6; pp. 937 - 947
Main Authors:	Gilbert, Anna, Indyk, Piotr
Format:	Journal Article
Language:	English
Published:	New York IEEE 01.06.2010 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects:	Algorithms Compressive sensing Computation Computational complexity Encoding expanders Hardware Image coding Mathematical analysis Mathematics Matrices Matrix methods Recovery Signal processing Signal processing algorithms Sparse matrices sparse recovery streaming algorithms Streams Testing Vectors
ISSN:	0018-9219, 1558-2256
Online Access:	Get full text
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