Téléchargez le livre : Adaptive Nonlinear System Identification

Adaptive Nonlinear System Identification

The Volterra and Wiener Model Approaches de

Éditeur :

Springer


Collection :

Signals and Communication Technology

Paru le : 2007-09-05

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Description
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.
Pages
232 pages
Collection
Signals and Communication Technology
Parution
2007-09-05
Marque
Springer
EAN papier
9780387263281
EAN PDF
9780387686301
Informations sur l'ebook
Nombre pages copiables
2
Nombre pages imprimables
23
Taille du fichier
4065 Ko
Prix
94,94 €

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