DocumentCode
2910591
Title
Detection of Unmodeled Nonlinearities Using Correlation Methods
Author
Enqvist, M. ; Schoukens, J. ; Pintelon, R.
Author_Institution
Vrije Univ. Brussel, Brussels
fYear
2007
fDate
1-3 May 2007
Firstpage
1
Lastpage
6
Abstract
This paper concerns the validation of linear models with respect to unmodeled nonlinearities. Two versions of a method for nonlinearity detection based on estimators of higher order cross-correlations are described and evaluated. Unlike many existing approaches, the proposed method seems to be applicable to a wide range of systems and input signals. It can also distinguish between even and odd nonlinearities.
Keywords
correlation methods; nonlinear systems; signal detection; signal processing; estimators; higher order cross-correlations; input signals; linear models; nonlinearity detection; Correlation; Frequency domain analysis; Frequency estimation; Frequency response; Instrumentation and measurement; Linear approximation; Linear systems; Noise measurement; Nonlinear systems; System identification; Correlation; Linear models; Nonlinear systems; System identification; Validation methods;
fLanguage
English
Publisher
ieee
Conference_Titel
Instrumentation and Measurement Technology Conference Proceedings, 2007. IMTC 2007. IEEE
Conference_Location
Warsaw
ISSN
1091-5281
Print_ISBN
1-4244-0588-2
Type
conf
DOI
10.1109/IMTC.2007.379370
Filename
4258197
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