[Comp-neuro] [new book announcement] Kernel Adaptive Filtering: A Comprehensive Introduction (2010)

Weifeng (Aaron) Liu weifeng at ieee.org
Fri Feb 12 10:02:36 CET 2010

*I apologize if you receive multiple copies of this message.

Dear Colleagues,

I'm very happy to announce that the following book has been published.

Kernel Adaptive Filtering: A Comprehensive Introduction (2010)
By Weifeng Liu, Jose C. Principe, and Simon Haykin, Wiley 2010

Description from the publisher:
There is increased interest in kernel learning algorithms in neural
networks and a growing need for nonlinear adaptive algorithms in
advanced signal processing, communications, and controls. Kernel
Adaptive Filtering is the first book to present a comprehensive,
unifying introduction to online learning algorithms in reproducing
kernel Hilbert spaces. Based on research being conducted in the
Computational Neural Engineering Laboratory at the University of
Florida and in the Cognitive Systems Laboratory at McMaster
University, Ontario, Canada, this unique resource elevates the
adaptive filtering theory to a new level, presenting a new designing
methodology of nonlinear adaptive filters.

Kernel Adaptive Filtering is ideal for engineers, computer scientists,
and graduate students interested in nonlinear adaptive systems for
online applications (applications where the data stream arrives one
sample at a time and incremental optimal solutions are desirable). It
is also a useful guide for those who look for nonlinear adaptive
filtering methodologies to solve practical problems.

Please visit the book’s website
(http://www.cnel.ufl.edu/~weifeng/publication.htm) for table of
contents and more information.


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