A Hybrid Dictionary Approach for Distributed Kernel Adaptive Filtering in Diffusion Networks

Ban-Sok Shin; Masahiro Yukawa; Renato L. G. Cavalcante; Armin Dekorsy

ICASSP 2018accepted0 citations

A Hybrid Dictionary Approach for Distributed Kernel Adaptive Filtering in Diffusion Networks

Ban-Sok Shin, Masahiro Yukawa, Renato L. G. Cavalcante, Armin Dekorsy

Abstract

We propose a hybrid dictionary approach for distributed kernel-based adaptive learning of a nonlinear function by a network of nodes. The hybrid dictionary incorporates a local part to improve learning of high frequency components in the function within the local domain of each node and a global part to provide a consensus estimate of the function over the whole region of interest. We apply our scheme to the reconstruction of a spatial distribution by a network of mobile nodes. Performance evaluations show that high frequency components are reconstructed accurately by our hybrid dictionary approach while common schemes are not able to recover them completely.

BibTeX

@inproceedings{icassp2018_ahybriddictionar,
  title = {A Hybrid Dictionary Approach for Distributed Kernel Adaptive Filtering in Diffusion Networks},
  author = {Ban-Sok Shin and Masahiro Yukawa and Renato L. G. Cavalcante and Armin Dekorsy},
  booktitle = {ICASSP 2018},
  year = {2018}
}