Title :
Sequentially designed compressed sensing
Author :
Haupt, Jarvis ; Baraniuk, Richard ; Castro, Rui ; Nowak, Robert
Author_Institution :
Dept. of Electr. & Comput. Eng., Univ. of Minnesota, Minneapolis, MN, USA
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.
Keywords :
matrix algebra; signal reconstruction; distilled sensing; nonadaptive compressed sensing approach; sequential designed compressed sensing; signal support recovery; sketching observations; sparse sensing matrices; Compressed sensing; Computers; Noise; Noise measurement; Random variables; Sensors; Vectors; Adaptive sensing; compressed sensing; support recovery;
Conference_Titel :
Statistical Signal Processing Workshop (SSP), 2012 IEEE
Conference_Location :
Ann Arbor, MI
Print_ISBN :
978-1-4673-0182-4
Electronic_ISBN :
pending
DOI :
10.1109/SSP.2012.6319715
