Kernel Adaptive Filtering: A Comprehensive Introduction

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Descripci贸

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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Editorial
John Wiley & Sons Inc
Data de publicaci贸
Idioma
Angl猫s
Tipus
Tapa dura
EAN/UPC
9780470447536

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