Reduced Complexity Volterra Models for Nonlinear System Identification
نویسندگان
چکیده
منابع مشابه
Reduced Complexity Volterra Models for Nonlinear System Identification
A broad class of nonlinear systems and filters can be modeled by the Volterra series representation. However, its practical use in nonlinear system identification is sometimes limited due to the large number of parameters associated with the Volterra filter’s structure. The parametric complexity also complicates design procedures based upon such a model. This limitation for system identificatio...
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Conventional Volterra series model is hardly applied to engineering practice due to its parametric complexity and estimation difficulty. To solve this problem, nonlinear system identification using reduced complexity Volterra models is proposed. Since the nonlinear components often play a secondary role compared to the dominant, linear component of the system, they spend the most of identificat...
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ژورنال
عنوان ژورنال: EURASIP Journal on Advances in Signal Processing
سال: 2001
ISSN: 1687-6172,1687-6180
DOI: 10.1155/s1110865701000324