Kernel Adaptive Filtering : A Comprehensive Introduction

Kernel Adaptive Filtering : A Comprehensive Introduction

Description

Reproducing kernel Hilbert spaces is a topic of great current interest for applications in signal processing, communications, and controls The first book to explain real-time learning algorithms in reproducing kernel Hilbert spaces, On-Line Kernel Learning includes simulations that illustrate the ideas discussed and demonstrate their applicability as well as MATLAB codes for simulations. This book is ideal for professionals and graduate students interested in nonlinear adaptive systems for on-line applications.

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Details

Author(s)
Weifeng Liu, Jose C. Principe, Simon S. Haykin
Dimensions
150 x 250 x 15mm | 666g
Publication date
10 Mar 2010
Publisher
John Wiley and Sons Ltd
Imprint
Wiley-Blackwell
Publication City/Country
Hoboken, United States
ISBN10
0470608595
ISBN13
9780470608593