DocumentCode
3314204
Title
Spectral projected gradient pursuit for compressed sensing
Author
Zhilin Li ; Houjin Chen ; Chang Yao ; Jupeng Li
Author_Institution
Sch. of Electron. & Inf. Eng., Beijing Jiaotong Univ., Beijing, China
Volume
4
fYear
2011
fDate
26-28 July 2011
Firstpage
2199
Lastpage
2202
Abstract
A greedy sparse signal recovery algorithm called spectral projected gradient pursuit algorithm for compressed sensing is introduced in this paper. Directional pursuit frame is adopted in this algorithm and spectral projected gradient method is used to compute the update direction and step length. Experimental results show that the proposed algorithm is competitive with the approximate conjugate gradient pursuit algorithm.
Keywords
conjugate gradient methods; data compression; greedy algorithms; signal reconstruction; approximate conjugate gradient pursuit algorithm; compressed sensing; directional pursuit frame; greedy sparse signal recovery algorithm; spectral projected gradient pursuit algorithm; step length; Accuracy; Approximation algorithms; Gradient methods; Matching pursuit algorithms; Signal processing algorithms; Signal to noise ratio; Vectors; compressed sensing; conjugate gradient; directional pursuit; matching pursuit; spectral projected gradient;
fLanguage
English
Publisher
ieee
Conference_Titel
Fuzzy Systems and Knowledge Discovery (FSKD), 2011 Eighth International Conference on
Conference_Location
Shanghai
Print_ISBN
978-1-61284-180-9
Type
conf
DOI
10.1109/FSKD.2011.6020060
Filename
6020060
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