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Conference, Symposium, and Workshop Papers
Citation key | Renatodict2018 |
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Author | B.-S. Shin, M. Yukawa, R. L. G. Cavalcante, and A. Dekorsy |
Year | 2018 |
ISBN | 978-1-5386-4658-8 |
ISSN | 2379-190X |
DOI | 10.1109/ICASSP.2018.8461350 |
Location | Calgary, AB, Canada |
Journal | Proc. IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Calgary, AB, Canada, 15-20 April 2018 |
Note | Date Added to IEEE Xplore: 13 September 2018 |
Editor | IEEE |
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. |