DocumentCode
2772719
Title
Extensions to Orthogonal Matching Pursuit for Compressed Sensing
Author
Majumdar, Avishek ; Krishnan, Nikhil ; Pillai, Sibi Raj B ; Velmurugan, Rajbabu
Author_Institution
Indian Inst. of Technol. Bombay, Mumbai, India
fYear
2011
fDate
28-30 Jan. 2011
Firstpage
1
Lastpage
5
Abstract
Compressed Sensing (CS) provides a set of mathematical results showing that sparse signals can be exactly reconstructed from a relatively small number of random linear measurements. A particularly appealing greedy-approach to signal reconstruction from CS measurements is the so called Orthogonal Matching Pursuit (OMP). We propose two modifications to the basic OMP algorithm, which can be handy in different situations.
Keywords
iterative methods; signal reconstruction; signal sampling; OMP algorithm; compressed sensing; orthogonal matching pursuit; random linear measurement; sparse signal reconstruction; Approximation algorithms; Approximation methods; Compressed sensing; Information theory; Matching pursuit algorithms; Sparse matrices; Vectors;
fLanguage
English
Publisher
ieee
Conference_Titel
Communications (NCC), 2011 National Conference on
Conference_Location
Bangalore
Print_ISBN
978-1-61284-090-1
Type
conf
DOI
10.1109/NCC.2011.5734741
Filename
5734741
Link To Document