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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Vydané v:	Proceedings of the IEEE Ročník 98; číslo 6; s. 937 - 947
Hlavní autori:	Gilbert, Anna, Indyk, Piotr
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	New York IEEE 01.06.2010 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Predmet:	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
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