Sequentially designed compressed sensing

Jarvis Haupt; Richard Baraniuk; Rui Castro; Robert Nowak

doi:10.1109/SSP.2012.6319715

Sequentially designed compressed sensing

Jarvis Haupt, Richard Baraniuk, Rui Castro, Robert Nowak

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

40 Scopus citations

Abstract

A sequential adaptive compressed sensing procedure for signal support recovery is proposed and analyzed. The procedure is based on the principle of distilled sensing, and makes used of sparse sensing matrices to perform sketching observations able to quickly identify irrelevant signal components. It is shown that adaptive compressed sensing enables recovery of weaker sparse signals than those that can be recovered using traditional non-adaptive compressed sensing approaches.

Original language	English (US)
Title of host publication	2012 IEEE Statistical Signal Processing Workshop, SSP 2012
Pages	401-404
Number of pages	4
DOIs	https://doi.org/10.1109/SSP.2012.6319715
State	Published - Nov 6 2012
Event	2012 IEEE Statistical Signal Processing Workshop, SSP 2012 - Ann Arbor, MI, United States Duration: Aug 5 2012 → Aug 8 2012

Other

Other	2012 IEEE Statistical Signal Processing Workshop, SSP 2012
Country	United States
City	Ann Arbor, MI
Period	8/5/12 → 8/8/12

Keywords

Adaptive sensing
compressed sensing
support recovery

ASJC Scopus subject areas

Signal Processing

Access to Document

10.1109/SSP.2012.6319715

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abstract = "A sequential adaptive compressed sensing procedure for signal support recovery is proposed and analyzed. The procedure is based on the principle of distilled sensing, and makes used of sparse sensing matrices to perform sketching observations able to quickly identify irrelevant signal components. It is shown that adaptive compressed sensing enables recovery of weaker sparse signals than those that can be recovered using traditional non-adaptive compressed sensing approaches.",

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