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Improved sparse signal recovery method based on matching pursuit revised MAP estimation.
- Source :
-
Electronics Letters (Wiley-Blackwell) . 7/26/2018, Vol. 54 Issue 15, p953-955. 2p. - Publication Year :
- 2018
-
Abstract
- The problem of recovering a sparse signal buried in noise from a linear observing system has been studied, via utilising statistic prior information of noise and signal, a fast matching pursuit revised maximum a posterior (MP-RMAP) estimation method is proposed. The proposed method overcomes the none-robust estimation problem that fast Bayesian matching pursuit has in high signal-to-noise ratio cases. Compared with other methods, the MP-RMAP method is able to improve the estimation accuracy with low complexity. Experimental results verify the validity of the proposed algorithm. [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISSN :
- 00135194
- Volume :
- 54
- Issue :
- 15
- Database :
- Academic Search Index
- Journal :
- Electronics Letters (Wiley-Blackwell)
- Publication Type :
- Academic Journal
- Accession number :
- 131123081
- Full Text :
- https://doi.org/10.1049/el.2018.0727