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《Computer Engineering and Applications》 2010-03
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Signal recovery based on iterative weighted l_1 norm

YANG Yang,LIU Zhe,LV Fang-yuan School of Science,Northwestern Polytechnical University,Xi'an 710129,China  
Rapid recovery of sparse signals is an important issue in compressed sensing.This paper discusses the parameter selection of the signal recovery algorithm via the iterative weighted l1 norm.A regularization strategy is introduced for the iterative weighted l1 norm to improve the stability of the recovery algorithm.Several numerical experiments are carried out to evaluate the improvement of the proposed algorithm.Numerical result shows that the proposed algorithm can obviously improve the accuracy and stability of sparse signal recovery.
【Fund】: 国家自然科学基金No.60776795;; 国家教育部新世纪人才支持计划;; 西北工业大学科技创新基金~~
【CateGory Index】: TN911
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