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
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;
Conference_Titel :
Fuzzy Systems and Knowledge Discovery (FSKD), 2011 Eighth International Conference on
Conference_Location :
Shanghai
Print_ISBN :
978-1-61284-180-9
DOI :
10.1109/FSKD.2011.6020060
