DocumentCode
1717332
Title
Compressed sensing imaging with the KAT-7 array
Author
Schwardt, Ludwig C.
Author_Institution
SKA South Africa, Pinelands, South Africa
fYear
2012
Firstpage
690
Lastpage
693
Abstract
Compressed sensing (CS) provides the theory behind the CLEAN deconvolution step found in aperture synthesis imaging in radio astronomy and suggests many new algorithms for it. A few CS algorithms, including greedy methods such as Orthogonal Matching Pursuit (OMP) and convex relaxation methods based on Basis Pursuit (BP), are evaluated on a small dataset produced by the KAT-7 array. The new algorithms outperform a standard CLEAN algorithm on this snapshot imaging task.
Keywords
astronomical image processing; compressed sensing; convex programming; deconvolution; greedy algorithms; image reconstruction; radioastronomy; CS algorithms; KAT-7 array; OMP; aperture synthesis imaging; clean deconvolution step; compressed sensing imaging algorithm; convex relaxation methods; greedy methods; orthogonal matching pursuit; radioastronomy; Arrays; Compressed sensing; Deconvolution; Extraterrestrial measurements; Imaging; Matching pursuit algorithms; Standards;
fLanguage
English
Publisher
ieee
Conference_Titel
Electromagnetics in Advanced Applications (ICEAA), 2012 International Conference on
Conference_Location
Cape Town
Print_ISBN
978-1-4673-0333-0
Type
conf
DOI
10.1109/ICEAA.2012.6328716
Filename
6328716
Link To Document