Title | ||
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Bayesian hypothesis testing detector for one bit diffusion LMS with blind missing samples. |
Abstract | ||
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•This paper proposes a distributed estimation algorithm when missing data is present.•Two models which are the linear regression model and the one bit model are investigated.•Two cases of non-blind and blind cases are considered in solving the problem.•A Bayesian hypothesis testing is used for missing data detection in the distributed estimation problem. |
Year | DOI | Venue |
---|---|---|
2018 | 10.1016/j.sigpro.2018.01.002 | Signal Processing |
Keywords | Field | DocType |
Distributed estimation,Missing samples,Bayesian hypothesis testing detector,One bit,Diffusion strategy | Mathematical optimization,Heuristic,Algorithm,Mean squared error,Bayesian hypothesis testing,Distributed algorithm,Missing data,Detector,Model parameter,Mathematics,Linear regression | Journal |
Volume | ISSN | Citations |
146 | 0165-1684 | 1 |
PageRank | References | Authors |
0.35 | 20 | 3 |
Name | Order | Citations | PageRank |
---|---|---|---|
Hadi. Zayyani | 1 | 96 | 15.51 |
Mehdi Korki | 2 | 46 | 5.98 |
Farrokh Marvasti | 3 | 113 | 13.55 |