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Nonlinear System Identification by Haar Wavelets
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Catalogue Information
Field name
Details
Dewey Class
519.5
Title
Nonlinear System Identification by Haar Wavelets ([Ebook]) / by Przemysław Śliwiński.
Author
Śliwiński, Przemysław
Other name(s)
SpringerLink (Online service)
Publication
Berlin, Heidelberg : Springer
, 2013.
Physical Details
XI, 139 pages. 27 illus., 18 illus. in color. : online resource.
Series
Lecture Notes in Statistics
0930-0325 ; ; 210
ISBN
9783642293962
Summary Note
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.:
Contents note
Introduction -- Hammerstein systems -- Identification goal -- Haar orthogonal bases -- Identification algorithms -- Computational algorithms. â Final remarks. - Technical derivations.
System details note
Online access to this digital book is restricted to subscription institutions through IP address (only for SISSA internal users).
Internet Site
http://dx.doi.org/10.1007/978-3-642-29396-2
Links to Related Works
Subject References:
Mathematical Statistics
.
Statistical Theory and Methods
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Statistics
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Authors:
Śliwiński, Przemysław
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Corporate Authors:
SpringerLink (Online service)
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Series:
Lecture Notes in Statistics
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Classification:
519.5
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519.5 (DDC 23)
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