Abstract

Distributed adaptive algorithms are proposed based on incremental and diffusion strategies. Adaptation rules that are suitable for ring topologies and general topologies are described. Both distributed LMS and RLS implementations are considered in order to endow a network of nodes with learning abilities; thus resulting in a network that is an adaptive entity in its own right

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