Nonlinear System Identification by Haar Wavelets

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Éditeur :

Springer


Collection :

Lecture Notes in Statistics

Paru le : 2012-10-12

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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. ? ?
Pages
139 pages
Collection
Lecture Notes in Statistics
Parution
2012-10-12
Marque
Springer
EAN papier
9783642293955
EAN EPUB
9783642293962

Informations sur l'ebook
Nombre pages copiables
1
Nombre pages imprimables
13
Taille du fichier
2058 Ko
Prix
52,74 €