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Science/Engineering Adaptive Nonlinear System Identification: The Volterra and Wiener Model Approaches

Posted on 2010-03-15




Name:Science/Engineering Adaptive Nonlinear System Identification: The Volterra and Wiener Model Approaches
ASIN/ISBN:0387263284
Language:English
File size:12.35 Mb
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===Communication相关链接===

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

    Number Of Pages: 300

    Publication Date: 2007-09-12

    Sales Rank: 688701

    ISBN / ASIN: 0387263284

    EAN: 9780387263281

    Binding: Hardcover

    Manufacturer: Springer

    Studio: Springer

    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. http://mihd.net/egwj5y http://rapidshare.com/files/58047082/springer_-_adaptive_nonlinear_system_identification.rar
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