Kernel Adaptive Filtering by Weifeng Liu

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Summary

* On-line learning is a fundamental tool in adaptive signalprocessing * Presents on-line learning from a signal processingperspective.

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Kernel Adaptive Filtering by Weifeng Liu

* On-line learning is a fundamental tool in adaptive signalprocessing * Presents on-line learning from a signal processingperspective.
Weifeng Liu, PhD, is a senior engineer of the Demand Forecasting Team at Amazon.com Inc. His research interests include kernel adaptive filtering, online active learning, and solving real-life large-scale data mining problems.

José C. Principe is Distinguished Professor of Electrical and Biomedical Engineering at the University of Florida, Gainesville, where he teaches advanced signal processing and artificial neural networks modeling. He is BellSouth Professor and founder and Director of the University of Florida Computational Neuro-Engineering Laboratory.

Simon Haykin is Distinguished University Professor at McMaster University, Canada.He is world-renowned for his contributions to adaptive filtering applied to radar and communications. Haykin's current research passion is focused on cognitive dynamic systems, including applications on cognitive radio and cognitive radar.

SKU Unavailable
ISBN 13 9780470447536
ISBN 10 0470447532
Title Kernel Adaptive Filtering
Author Weifeng Liu
Series Adaptive And Cognitive Dynamic Systems: Signal Processing Learning Communications And Control
Condition Unavailable
Binding Type Hardback
Publisher John Wiley & Sons Inc
Year published 2010-03-12
Number of pages 240
Cover note Book picture is for illustrative purposes only, actual binding, cover or edition may vary.