Nonlinear System Identification by Haar Wavelets Nonlinear System Identification by Haar Wavelets
Lecture Notes in Statistics

Nonlinear System Identification by Haar Wavelets

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Publisher Description

In order to precisely model real-life systems or man-made devices, both nonlinear and dynamic properties need to be taken into account. The generic, black-box model based on Volterra and Wiener series is capable of representing fairly complicated nonlinear and dynamic interactions, however, the resulting identification algorithms are impractical, mainly due to their computational complexity. One of the alternatives offering fast identification algorithms is the block-oriented approach, in which systems of relatively simple structures are considered. The book provides nonparametric identification algorithms designed for such systems together with the description of their asymptotic and computational properties.

GENRE
Science & Nature
RELEASED
2012
12 October
LANGUAGE
EN
English
LENGTH
150
Pages
PUBLISHER
Springer Berlin Heidelberg
PROVIDER INFO
Springer Science & Business Media LLC
SIZE
3.1
MB
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