Adaptive Processing over Distributed Networks

Ali H. SAYED  Cassio G. LOPES  

IEICE TRANSACTIONS on Fundamentals of Electronics, Communications and Computer Sciences   Vol.E90-A    No.8    pp.1504-1510
Publication Date: 2007/08/01
Online ISSN: 1745-1337
DOI: 10.1093/ietfec/e90-a.8.1504
Print ISSN: 0916-8508
Type of Manuscript: Special Section INVITED PAPER (Special Section on Papers Selected from the 21st Symposium on Signal Processing)
distributed processing,  adaptive filtering,  adaptive networks,  incremental algorithm,  diffusion,  collaboration,  cooperation,  mean-square-error,  energy conservation,  

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The article describes recent adaptive estimation algorithms over distributed networks. The algorithms rely on local collaborations and exploit the space-time structure of the data. Each node is allowed to communicate with its neighbors in order to exploit the spatial dimension, while it also evolves locally to account for the time dimension. Algorithms of the least-mean-squares and least-squares types are described. Both incremental and diffusion strategies are considered.