A Bat-Inspired Sparse Recovery Algorithm for Compressed Sensing
Joint Authors
Hua, Gang
Bao, Wanning
Liu, Haiqiang
Huang, Dongbo
Hua, Qianqian
Source
Computational Intelligence and Neuroscience
Issue
Vol. 2018, Issue 2018 (31 Dec. 2018), pp.1-9, 9 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2018-10-29
Country of Publication
Egypt
No. of Pages
9
Main Subjects
Abstract EN
Compressed sensing (CS) is an important research area of signal sampling and compression, and the essence of signal recovery in CS is an optimization problem of solving the underdetermined system of equations.
Greedy pursuit algorithms are widely used to solve this problem.
They have low computational complexity; however, their recovery performance is limited.
In this paper, an intelligence recovery algorithm is proposed by combining the Bat Algorithm (BA) and the pruning technique in subspace pursuit.
Experimental results illustrate that the proposed algorithm has better recovery performance than greedy pursuit algorithms.
Moreover, applied to the microseismic monitoring system, the BA can recover the signal well.
American Psychological Association (APA)
Bao, Wanning& Liu, Haiqiang& Huang, Dongbo& Hua, Qianqian& Hua, Gang. 2018. A Bat-Inspired Sparse Recovery Algorithm for Compressed Sensing. Computational Intelligence and Neuroscience،Vol. 2018, no. 2018, pp.1-9.
https://search.emarefa.net/detail/BIM-1130585
Modern Language Association (MLA)
Bao, Wanning…[et al.]. A Bat-Inspired Sparse Recovery Algorithm for Compressed Sensing. Computational Intelligence and Neuroscience No. 2018 (2018), pp.1-9.
https://search.emarefa.net/detail/BIM-1130585
American Medical Association (AMA)
Bao, Wanning& Liu, Haiqiang& Huang, Dongbo& Hua, Qianqian& Hua, Gang. A Bat-Inspired Sparse Recovery Algorithm for Compressed Sensing. Computational Intelligence and Neuroscience. 2018. Vol. 2018, no. 2018, pp.1-9.
https://search.emarefa.net/detail/BIM-1130585
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1130585