Kernel Adaptive Filtering: A Comprehensive Introduction PDF (Adobe DRM) download by Simon Haykin

Kernel Adaptive Filtering: A Comprehensive Introduction

Wiley
Publication date: February 2010
ISBN: 9780470608586
Digital Book format: PDF (Adobe DRM)

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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.

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Kernel Adaptive Filtering: A Comprehensive Introduction PDF (Adobe DRM) download by Simon Haykin
Wiley, February 2010
ISBN: 9780470608586
EAN:  9780470608586
PDF (Adobe DRM)
List Price: $94.99 eBook price: $91.99
Kernel Adaptive Filtering: A Comprehensive Introduction ePub (Adobe DRM) download by Simon Haykin
Wiley, September 2011
ISBN: 9781118211212
EAN:  9781118211212
ePub (Adobe DRM)
List Price: $94.99 eBook price: $91.99
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