Title: Research of Orthogonal Matching Pursuit Algorithm on the Base of Subspace
Abstract:As the theory of compressed sensing was proposed,it had brought a landmark to the development of signal processing and obtaining information domains. Most traditional compressed reconstruction algorit...As the theory of compressed sensing was proposed,it had brought a landmark to the development of signal processing and obtaining information domains. Most traditional compressed reconstruction algorithms had some problems,such as the high iterations,low efficiency of operation and low recovery probability and so on. This paper had proposed backtracking idea to recovery original signal on the base of subspace,which also proved its availability and two important characteristics: firstly,high recovery probability because of drawing into backtracking idea,and secondly,the low computational complexity. This paper had compared parameters with traditional Orthogonal Matching Pursuit algorithm and Subspace Pursuit algorithm,and proved its significant importance in the sparse signal recovery domain.Read More
Publication Year: 2015
Publication Date: 2015-01-01
Language: en
Type: article
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