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Signals and Communication Technology

Adaptive Nonlinear System Identification

The Volterra and Wiener Model Approaches

Authors: Ogunfunmi, Tokunbo

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  • The focus is on the Volterra and Wiener modeling approaches, which have become very popular in signal processing circles

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  • ISBN 978-0-387-68630-1
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Softcover $149.99
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  • ISBN 978-1-4419-3883-1
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About this book

Adaptive Nonlinear System Identification: The Volterra and Wiener Model Approaches introduces engineers and researchers to the field of nonlinear adaptive system identification. The book includes recent research results in the area of adaptive nonlinear system identification and presents simple, concise, easy-to-understand methods for identifying nonlinear systems. These methods use adaptive filter algorithms that are well known for linear systems identification. They are applicable for nonlinear systems that can be efficiently modeled by polynomials.

After a brief introduction to nonlinear systems and to adaptive system identification, the author presents the discrete Volterra model approach. This is followed by an explanation of the Wiener model approach. Adaptive algorithms using both models are developed. The performance of the two methods are then compared to determine which model performs better for system identification applications.

Adaptive Nonlinear System Identification: The Volterra and Wiener Model Approaches is useful to graduates students, engineers and researchers in the areas of nonlinear systems, control, biomedical systems and in adaptive signal processing.

Reviews

From the reviews:

"In this book, the author presents simple, concise, easy-to-understand methods for identifying nonlinear systems using adaptive filter algorithms well known for linear systems identification. The book focuses on the Volterra and Wiener models for nonlinear systems … . It is another contribution to the current literature on the subject. The book will be useful for graduate students, engineers and researchers in the area of the nonlinear systems identification and adaptive signal processing." (George S. Stavrakakis, Zentralblatt MATH, Vol. 1130 (8), 2008)


Table of contents (11 chapters)

Table of contents (11 chapters)

Buy this book

eBook $109.00
price for USA in USD
  • ISBN 978-0-387-68630-1
  • Digitally watermarked, DRM-free
  • Included format: PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover $149.99
price for USA in USD
  • ISBN 978-0-387-26328-1
  • Free shipping for individuals worldwide
  • Immediate ebook access, if available*, with your print order
  • Usually dispatched within 3 to 5 business days.
Softcover $149.99
price for USA in USD
  • ISBN 978-1-4419-3883-1
  • Free shipping for individuals worldwide
  • Immediate ebook access, if available*, with your print order
  • Usually dispatched within 3 to 5 business days.
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Bibliographic Information

Bibliographic Information
Book Title
Adaptive Nonlinear System Identification
Book Subtitle
The Volterra and Wiener Model Approaches
Authors
Series Title
Signals and Communication Technology
Copyright
2007
Publisher
Springer US
Copyright Holder
Springer-Verlag US
eBook ISBN
978-0-387-68630-1
DOI
10.1007/978-0-387-68630-1
Hardcover ISBN
978-0-387-26328-1
Softcover ISBN
978-1-4419-3883-1
Series ISSN
1860-4862
Edition Number
1
Number of Pages
XVI, 232
Topics

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