Adaptive Nonlinear System Identification: The Volterra and Wiener Model Approaches
Author:   Tokunbo Ogunfunmi
Publisher:   Springer-Verlag New York Inc.
Edition:   Softcover reprint of hardcover 1st ed. 2007
ISBN:  

9781441938831


Pages:   232
Publication Date:   23 November 2010
Format:   Paperback
Availability:   Out of print, replaced by POD   Availability explained
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Adaptive Nonlinear System Identification: The Volterra and Wiener Model Approaches


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Full Product Details

Author:   Tokunbo Ogunfunmi
Publisher:   Springer-Verlag New York Inc.
Imprint:   Springer-Verlag New York Inc.
Edition:   Softcover reprint of hardcover 1st ed. 2007
Dimensions:   Width: 15.50cm , Height: 1.30cm , Length: 23.50cm
Weight:   0.454kg
ISBN:  

9781441938831


ISBN 10:   1441938834
Pages:   232
Publication Date:   23 November 2010
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Active
Availability:   Out of print, replaced by POD   Availability explained
We will order this item for you from a manufatured on demand supplier.

Table of Contents

to Nonlinear Systems.- Polynomial Models of Nonlinear Systems.- Volterra and Wiener Nonlinear Models.- Nonlinear System Identification Methods.- to Adaptive Signal Processing.- Nonlinear Adaptive System Identification Based on Volterra Models.- Nonlinear Adaptive System Identification Based on Wiener Models (Part 1).- Nonlinear Adaptive System Identification Based on Wiener Models (Part 2).- Nonlinear Adaptive System Identification Based on Wiener Models (Part 3).- Nonlinear Adaptive System Identification Based on Wiener Models (Part 4).- Conclusions, Recent Results, and New Directions.

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)


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)


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