Sequentially designed compressed sensing

J. Haupt, R.G. Baraniuk, R.M. Castro, R. Nowak

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

40 Citations (Scopus)

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 languageEnglish
Title of host publicationProceedings of the 2012 IEEE Statistical Signal Processing Workshop (Ann Arbor MI, USA, August 5-8, 2012)
Place of PublicationPiscataway
PublisherInstitute of Electrical and Electronics Engineers
Pages401-404
ISBN (Print)978-1-4673-0183-1
DOIs
Publication statusPublished - 2012
Eventconference; 2012 IEEE Statistical Signal Processing Workshop; 2012-08-05; 2012-08-08 -
Duration: 5 Aug 20128 Aug 2012

Conference

Conferenceconference; 2012 IEEE Statistical Signal Processing Workshop; 2012-08-05; 2012-08-08
Period5/08/128/08/12
Other2012 IEEE Statistical Signal Processing Workshop

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  • Cite this

    Haupt, J., Baraniuk, R. G., Castro, R. M., & Nowak, R. (2012). Sequentially designed compressed sensing. In Proceedings of the 2012 IEEE Statistical Signal Processing Workshop (Ann Arbor MI, USA, August 5-8, 2012) (pp. 401-404). Institute of Electrical and Electronics Engineers. https://doi.org/10.1109/SSP.2012.6319715