Sequentially designed compressed sensing

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

doi:10.1109/SSP.2012.6319715

Sequentially designed compressed sensing

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

Onderzoeksoutput: Hoofdstuk in Boek/Rapport/Congresprocedure › Conferentiebijdrage › Academic › peer review

41 Citaten (Scopus)

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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.

Originele taal-2	Engels
Titel	Proceedings of the 2012 IEEE Statistical Signal Processing Workshop (Ann Arbor MI, USA, August 5-8, 2012)
Plaats van productie	Piscataway
Uitgeverij	Institute of Electrical and Electronics Engineers
Pagina's	401-404
ISBN van geprinte versie	978-1-4673-0183-1
DOI's	https://doi.org/10.1109/SSP.2012.6319715
Status	Gepubliceerd - 2012
Evenement	conference; 2012 IEEE Statistical Signal Processing Workshop; 2012-08-05; 2012-08-08 - Duur: 5 aug. 2012 → 8 aug. 2012

Congres

Congres	conference; 2012 IEEE Statistical Signal Processing Workshop; 2012-08-05; 2012-08-08
Periode	5/08/12 → 8/08/12
Ander	2012 IEEE Statistical Signal Processing Workshop

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@inproceedings{531a09145be14035b86782832ea0a199,

title = "Sequentially designed compressed sensing",

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.",

author = "J. Haupt and R.G. Baraniuk and R.M. Castro and R. Nowak",

year = "2012",

doi = "10.1109/SSP.2012.6319715",

language = "English",

isbn = "978-1-4673-0183-1",

pages = "401--404",

booktitle = "Proceedings of the 2012 IEEE Statistical Signal Processing Workshop (Ann Arbor MI, USA, August 5-8, 2012)",

publisher = "Institute of Electrical and Electronics Engineers",

address = "United States",

note = "conference; 2012 IEEE Statistical Signal Processing Workshop; 2012-08-05; 2012-08-08 ; Conference date: 05-08-2012 Through 08-08-2012",

}

Haupt, J, Baraniuk, RG, Castro, RM & 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). Institute of Electrical and Electronics Engineers, Piscataway, blz. 401-404, conference; 2012 IEEE Statistical Signal Processing Workshop; 2012-08-05; 2012-08-08, 5/08/12. https://doi.org/10.1109/SSP.2012.6319715

Sequentially designed compressed sensing. / Haupt, J.; Baraniuk, R.G.; Castro, R.M. et al.

Proceedings of the 2012 IEEE Statistical Signal Processing Workshop (Ann Arbor MI, USA, August 5-8, 2012). Piscataway : Institute of Electrical and Electronics Engineers, 2012. blz. 401-404.

Onderzoeksoutput: Hoofdstuk in Boek/Rapport/Congresprocedure › Conferentiebijdrage › Academic › peer review

TY - GEN

T1 - Sequentially designed compressed sensing

AU - Haupt, J.

AU - Baraniuk, R.G.

AU - Castro, R.M.

AU - Nowak, R.

PY - 2012

Y1 - 2012

N2 - 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.

AB - 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.

U2 - 10.1109/SSP.2012.6319715

DO - 10.1109/SSP.2012.6319715

M3 - Conference contribution

SN - 978-1-4673-0183-1

SP - 401

EP - 404

BT - Proceedings of the 2012 IEEE Statistical Signal Processing Workshop (Ann Arbor MI, USA, August 5-8, 2012)

PB - Institute of Electrical and Electronics Engineers

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T2 - conference; 2012 IEEE Statistical Signal Processing Workshop; 2012-08-05; 2012-08-08

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ER -

Sequentially designed compressed sensing

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Congres

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