Improved Generalized Sparsity Adaptive Matching Pursuit Algorithm Based on Compressive Sensing
Joint Authors
Source
Journal of Electrical and Computer Engineering
Issue
Vol. 2020, Issue 2020 (31 Dec. 2020), pp.1-11, 11 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2020-04-10
Country of Publication
Egypt
No. of Pages
11
Main Subjects
Information Technology and Computer Science
Abstract EN
The modified adaptive orthogonal matching pursuit algorithm has a lower convergence speed.
To overcome this problem, an improved method with faster convergence speed is proposed.
In respect of atomic selection, the proposed method computes the correlation between the measurement matrix and residual and then selects the atoms most related to residual to construct the candidate atomic set.
The number of selected atoms is the integral multiple of initial step size.
In respect of sparsity estimation, the proposed method introduces the exponential function to sparsity estimation.
It uses a larger step size to estimate sparsity at the beginning of iteration to accelerate the algorithm convergence speed and a smaller step size to improve the reconstruction accuracy.
Simulations show that the proposed method has better performance in terms of convergence speed and reconstruction accuracy for one-dimension signal and two-dimension signal.
American Psychological Association (APA)
Zhao, Liquan& Ke, Ma& Jia, Yanfei. 2020. Improved Generalized Sparsity Adaptive Matching Pursuit Algorithm Based on Compressive Sensing. Journal of Electrical and Computer Engineering،Vol. 2020, no. 2020, pp.1-11.
https://search.emarefa.net/detail/BIM-1183871
Modern Language Association (MLA)
Zhao, Liquan…[et al.]. Improved Generalized Sparsity Adaptive Matching Pursuit Algorithm Based on Compressive Sensing. Journal of Electrical and Computer Engineering No. 2020 (2020), pp.1-11.
https://search.emarefa.net/detail/BIM-1183871
American Medical Association (AMA)
Zhao, Liquan& Ke, Ma& Jia, Yanfei. Improved Generalized Sparsity Adaptive Matching Pursuit Algorithm Based on Compressive Sensing. Journal of Electrical and Computer Engineering. 2020. Vol. 2020, no. 2020, pp.1-11.
https://search.emarefa.net/detail/BIM-1183871
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1183871