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商品詳細
Adaptive Nonlinear System Identification: The Volterra and Wiener Model Approaches. Softcover reprint of hardcover 1st ed. 2007
・ISBN 978-1-4419-3883-1 paper EUR 99.99
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| 著者・編者 | Ogunfunmi, Tokunbo, |
|---|---|
| シリーズ | (Signals and Communication Technology) |
| 出版社 | (Springer-Verlag New York Inc., US) |
| 出版年月 | 2010 |
| ページ数 | 232 pp. |
| 言語 | ENG |
| ニュース番号 | ＜A05-27441＞ |
解説
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.