Adaptive processing over distributed networks

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.


Published in:
IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences, 90, 8, 1504-1510
Year:
2007
Publisher:
The Institute of Electronics, Information and Communication Engineers
Laboratories:




 Record created 2017-12-19, last modified 2018-09-13


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