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book part or chapter
Distributed adaptive learning mechanisms
Sayed, Ali H
•
Cattivelli, Federico S
The chapter describes recent developments in distributed processing over adaptive networks. The resulting adaptive learning rules rely on local data at the individual nodes and on collaborations among neighboring nodes in order to exploit the space-time dimension of the data more fully. The ideas are illustrated by considering algorithms of the least mean-squares type, although more general adaptation rules are also possible including least-squares rules and Kalman-type rules. Both incremental and diffusion collaboration strategies are considered
Type
book part or chapter
Authors
Sayed, Ali H
•
Cattivelli, Federico S
Publication date
2009
Publisher
Published in
Handbook on Array Processing and Sensor Networks
Start page
693
End page
722
Peer reviewed
REVIEWED
EPFL units
Available on Infoscience
December 19, 2017
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