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 | |
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/Territory | 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