Get Free Shipping on orders over $79
Kernel Adaptive Filtering : A Comprehensive Introduction - Weifeng Liu

Kernel Adaptive Filtering

A Comprehensive Introduction

By: Weifeng Liu, JosÃ?© C. Principe, Simon Haykin

Hardcover | 4 February 2021 | Edition Number 1

At a Glance

Hardcover


$250.75

or 4 interest-free payments of $62.69 with

 or 

Ships in 7 to 10 business days

<b>Online learning from a signal processing perspective</b> <p> 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. <i>Kernel Adaptive Filtering</i> 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. <ul> <li> <p> 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 <li> <p> Presents a powerful model-selection method called maximum marginal likelihood <li> <p> Addresses the principal bottleneck of kernel adaptive filters&#8212;their growing structure <li> <p> Features twelve computer-oriented experiments to reinforce the concepts, with MATLAB codes downloadable from the authors' Web site <li> <p> Concludes each chapter with a summary of the state of the art and potential future directions for original research </ul> <p> <i>Kernel Adaptive Filtering</i> 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.

More in Electronics & Communications Engineering

LEGO : Gadgets (Klutz) - Editors of Klutz

RRP $34.99

$25.75

26%
OFF
The Art of Electronics : 3rd edition improved - Paul Horowitz

RRP $171.95

$124.99

27%
OFF
Agentic AI For Dummies : For Dummies (Computer/Tech) - Pam Baker
Book of Making 2026 : Projects for Makers and Hackers - The Makers of Raspberry Pi Official magazine
Metal oxide-based thermoelectric materials : Metal Oxides - Jai Singh
Fundamentals of Electric Circuits : ISE 7th edition - Charles K. Alexander

RRP $169.95

$133.75

21%
OFF
Telecommunications : A Systems Approach - Hudson Warner
Digital Electronics : A Modern Approach - Rachell Hawkins
Understanding Wifi Technology - Jacob Davis
Power Electronics : Analysis and Design - Rick Jacobs
Mobile Computing and Communications - Mason Bell