For Full-Text PDF, please login, if you are a member of IEICE,|
or go to Pay Per View on menu list, if you are a nonmember of IEICE.
Adaptive Processing over Distributed Networks
Ali H. SAYED Cassio G. LOPES
IEICE TRANSACTIONS on Fundamentals of Electronics, Communications and Computer Sciences
Publication Date: 2007/08/01
Online ISSN: 1745-1337
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,
Full Text: PDF(532.7KB)>>
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.