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

 
: Shin, B.-S.; Yukawa, M.; Cavalcante, R.L.G.; Dekorsy, A.

:

Institute of Electrical and Electronics Engineers -IEEE-; IEEE Signal Processing Society:
IEEE International Conference on Acoustics, Speech, and Signal Processing 2018. Proceedings : April 15-20, 2018, Calgary Telus Convention Center, Calgary, Alberty, Canada
Piscataway, NJ: IEEE, 2018
ISBN: 978-1-5386-4658-8
ISBN: 978-1-5386-4657-1
ISBN: 978-1-5386-4659-5
pp.3414-3418
International Conference on Acoustics, Speech, and Signal Processing (ICASSP) <2018, Calgary>
English
Conference Paper
Fraunhofer HHI ()

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.

: http://publica.fraunhofer.de/documents/N-520109.html