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Adaptive Nonlinear System Identification: The Volterra and Wiener Model Approaches (Signals and Communication Technology)

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Synopses & Reviews

Publisher Comments:

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.

Synopsis:

The book focuses on polynomial types of nonlinearities for which the Volterra and Wiener approaches are well-suited. Further, extensive coverage is given to System Identification applications of the adaptive methods. These methods can be applied to other applications of adaptive nonlinear processes. The book includes recent research results in the area of adaptive nonlinear system identification from the author and other active researchers in the field.

Synopsis:

Focuses on System Identification applications of the adaptive methods presented. but which can also be applied to other applications of adaptive nonlinear processes. Covers recent research results in the area of adaptive nonlinear system identification from the authors and other researchers in the field.

Synopsis:

The purpose of this work is to introduce engineers and researchers to the field of nonlinear adaptive system identification. The author describes the general area, and presents the Volterra model approach and the discrete Wiener model approach. The performances of the two model approaches are compared.The book focuses on polynomial types of nonlinearities for which the Volterra and Wiener approaches are well-suited. Further, extensive coverage is given to System Identification applications of the adaptive methods. These methods can be applied to other applications of adaptive nonlinear processes. The book includes recent research results in the area of adaptive nonlinear system identification from the author and other active researchers in the field.

Table of Contents

Introduction to Nonlinear Systems.- Polynomial Models for Nonlinear Systems.- Volterra and Wiener Nonlinear Models.- Nonlinear System Indentification Methods.- Introduction to Adaptive Signal Processing.- Nonlinear Adaptive System Identification based on Volterra Models.- Nonlinear Adaptive System Identification based on Wiener Models: Part I.- Nonlinear Adaptive System Identification based on Wiener Models: Part II.- Nonlinear Adaptive System Identification based on Wiener Models: Part III.- Nonlinear Adaptive System Identification based on Wiener Models: Part IV.- Conclusions, Recent Results, and New Directions.

Product Details

ISBN:
9780387263281
Editor:
Ogunfunmi, Tokunbo
Publisher:
Springer
Editor:
Ogunfunmi, Tokunbo
Author:
Ogunfunmi, T.
Author:
Ogunfunmi, Tokunbo
Subject:
Engineering - Electrical & Electronic
Subject:
Electronics - Circuits - General
Subject:
Computer Graphics - General
Subject:
Engineering / Electrical
Subject:
Computer Graphics - Image Processing
Subject:
Telecommunications
Subject:
Automation
Subject:
Electricity
Subject:
Adaptive filters
Subject:
Nonlinear systems
Subject:
Signal processing
Subject:
System identification
Subject:
Volterra Model
Subject:
Wiener Model
Subject:
Signal, Image and Speech Processing
Subject:
Control, Robotics, Mechatronics
Subject:
Image Processing and Computer Vision
Subject:
Circuits and Systems
Subject:
Communications Engineering, Networks
Subject:
Communications Engineering, Networks <P>This professional level book introduces engineers and researchers to the field of nonlinear adaptive system identification. It first describes the general field and then develops both the Volterra model approach and
Subject:
Electricity-General Electricity
Subject:
Electronics - General
Copyright:
Edition Number:
1
Edition Description:
Book
Series:
Signals and Communication Technology
Series Volume:
The Volterra and Wie
Publication Date:
December 2006
Binding:
HARDCOVER
Language:
English
Illustrations:
Y
Pages:
248
Dimensions:
235 x 155 mm 1170 gr

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Related Subjects

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Reference » Science Reference » Technology
Science and Mathematics » Electricity » General Electricity
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Science and Mathematics » Mathematics » Topology

Adaptive Nonlinear System Identification: The Volterra and Wiener Model Approaches (Signals and Communication Technology) New Hardcover
0 stars - 0 reviews
$190.25 In Stock
Product details 248 pages Springer - English 9780387263281 Reviews:
"Synopsis" by , The book focuses on polynomial types of nonlinearities for which the Volterra and Wiener approaches are well-suited. Further, extensive coverage is given to System Identification applications of the adaptive methods. These methods can be applied to other applications of adaptive nonlinear processes. The book includes recent research results in the area of adaptive nonlinear system identification from the author and other active researchers in the field.
"Synopsis" by , Focuses on System Identification applications of the adaptive methods presented. but which can also be applied to other applications of adaptive nonlinear processes. Covers recent research results in the area of adaptive nonlinear system identification from the authors and other researchers in the field.
"Synopsis" by , The purpose of this work is to introduce engineers and researchers to the field of nonlinear adaptive system identification. The author describes the general area, and presents the Volterra model approach and the discrete Wiener model approach. The performances of the two model approaches are compared.The book focuses on polynomial types of nonlinearities for which the Volterra and Wiener approaches are well-suited. Further, extensive coverage is given to System Identification applications of the adaptive methods. These methods can be applied to other applications of adaptive nonlinear processes. The book includes recent research results in the area of adaptive nonlinear system identification from the author and other active researchers in the field.
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