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- Title
Improved sparse signal recovery method based on matching pursuit revised MAP estimation.
- Authors
Pan, Jian; Tang, Jun; Wang, Li; Zhang, Yunlei
- 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.
- Publication
Electronics Letters (Wiley-Blackwell), 2018, Vol 54, Issue 15, p953
- ISSN
0013-5194
- Publication type
Article
- DOI
10.1049/el.2018.0727