Adaptive estimation algorithms over distributed networks

We provide an overview of 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:
21st IEICE Signal Processing Symposium
Presented at:
IEICE Signal Processing Symposium, Kyoto, Japan
Year:
2006
Laboratories:




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


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