Statistical Identification of Kernels of Discrete Nonlinear Systems
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Date
1997-04
Authors
ORCID
Advisor
Referee
Mark
Journal Title
Journal ISSN
Volume Title
Publisher
Společnost pro radioelektronické inženýrství
Abstract
A method for identification of discrete nonlinear systems in terms of the Volterra-Wiener series is presented. It is shown that use of a special, composite-frequency input signal as approximation to Gaussian noise provides a computational efficiency of this method, especially for high order kernels. Orthogonal functionals and consistent estimations for Wiener kernels in the frequency domains are derived for this class of noise input. A basis of the proposed computational procedure for practical identification is the fast Fourier transform (FFT) algorithm which is used both for a generating of system stimuluses and for an analysis of system reactions.
Description
Citation
Radioengineering. 1997, vol. 6, č. 1, s. 16-18. ISSN 1210-2512
http://www.radioeng.cz/fulltexts/1997/97_01_03.pdf
http://www.radioeng.cz/fulltexts/1997/97_01_03.pdf
Document type
Peer-reviewed
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Published version
Date of access to the full text
Language of document
en