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 |
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Title of host publication | Proceedings of the 2012 IEEE Statistical Signal Processing Workshop (Ann Arbor MI, USA, August 5-8, 2012) |
Place of Publication | Piscataway |
Publisher | Institute of Electrical and Electronics Engineers |
Pages | 401-404 |
ISBN (Print) | 978-1-4673-0183-1 |
DOIs | |
Publication status | Published - 2012 |
Event | conference; 2012 IEEE Statistical Signal Processing Workshop; 2012-08-05; 2012-08-08 - Duration: 5 Aug 2012 → 8 Aug 2012 |
Conference
Conference | conference; 2012 IEEE Statistical Signal Processing Workshop; 2012-08-05; 2012-08-08 |
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Period | 5/08/12 → 8/08/12 |
Other | 2012 IEEE Statistical Signal Processing Workshop |