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Kernel Adaptive Filtering: A Comprehensive Introduction (Adaptive and Cognitive Dynamic Systems: Signal Processing, Learning, Communications and Control) book cover by Weifeng Liu, José C. Principe, Simon Haykin
Hardcover

Kernel Adaptive Filtering: A Comprehensive Introduction (Adaptive and Cognitive Dynamic Systems: Signal Processing, Learning, Communications and Control)

by Weifeng Liu, José C. Principe and Simon Haykin

$119.81 / copy at 25+ copies As low as $112.76 at 1,000+Your best volume price

Hardcover · 240 pages Wiley · 2010

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Hardcover
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About the book

Kernel Adaptive Filtering

Online learning from a signal processing perspective

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 Neuro-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 design methodology of nonlinear adaptive filters.

  • Covers the kernel least mean squares algorithm, kernel affine projection algorithms, the kernel recursive least squares algorithm, the theory of Gaussian process regression, and the extended kernel recursive least squares algorithm

  • Presents a powerful model-selection method called maximum marginal likelihood

  • Addresses the principal bottleneck of kernel adaptive filters—their growing structure

  • Features twelve computer-oriented experiments to reinforce the concepts, with MATLAB codes downloadable from the authors' Web site

  • Concludes each chapter with a summary of the state of the art and potential future directions for original research

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.



The book, Kernel Adaptive Filtering: A Comprehensive Introduction (Adaptive and Cognitive Dynamic Systems: Signal Processing, Learning, Communications and Control) [Bulk, Wholesale, Quantity] ISBN#9780470447536 in Hardcover by Weifeng Liu, José C. Principe, Simon Haykin may be ordered in bulk quantities. Minimum starts at 25 copies. Availability based on publisher status and quantity being ordered.

Details

Publisher
Wiley
Authors
Weifeng Liu, José C. Principe, Simon Haykin
Format
Hardcover
Published
Mar 1, 2010
ISBN-13
9780470447536
Pages
240
Carton quantity
30 copies
Printing
Printed on demand
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Kernel Adaptive Filtering in bulk: pricing

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CopiesPrice per copyYou save
25 – 99 $119.81 15% off list
100 – 249 $118.40 16% off list
250 – 499 $116.99 17% off list
500 – 999 $115.58 18% off list
1,000+ $112.76 20% off list
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