Title
Bayesian hypothesis testing detector for one bit diffusion LMS with blind missing samples.
Abstract
•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. Zayyani19615.51
Mehdi Korki2465.98
Farrokh Marvasti311313.55