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Robustness of wave-fitting with respect to uncertain parameter values
KTH, School of Electrical Engineering (EES), Signal Processing.
KTH, School of Electrical Engineering (EES), Signal Processing. KTH, School of Electrical Engineering (EES), Centres, ACCESS Linnaeus Centre.ORCID iD: 0000-0002-2718-0262
2005 (English)In: Instrumentation and Measurement Technology Conference, 2005. IMTC 2005. Proceedings of the IEEE, 2005, Vol. 1, 662-665 p.Conference paper, Published paper (Refereed)
Abstract [en]

This paper presents a criterion for model order selection. By usage of the parsimony principle the mean sum-squareerror is evaluated for models subject to imperfections inparameter values. In particular, model imperfections in different sinewavefitting scenarios have been analyzed. The analysis is carried out considering linear models. The obtained result is generalized to models incorporating non-linear parameters. Numerical illustrations are provided in order to gain insight of the behavior of model imperfections, as well as to numerically verify the theoretical results. The main contributions include a general result for linear signal models, as well as some novel results on sinewave-fitting. 

Place, publisher, year, edition, pages
2005. Vol. 1, 662-665 p.
Keyword [en]
ADC testing where;Gaussian requirement;linear models;model order selection;nonlinear parameter;sine wave fitting;uncertain parameter values;white noise additive model;Gaussian processes;signal processing;
National Category
Signal Processing
Identifiers
URN: urn:nbn:se:kth:diva-82978DOI: 10.1109/IMTC.2005.1604200Scopus ID: 2-s2.0-33847229154OAI: oai:DiVA.org:kth-82978DiVA: diva2:498634
Conference
IMTC
Note
QC 20120229Available from: 2012-02-12 Created: 2012-02-12 Last updated: 2012-02-29Bibliographically approved

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Händel, Peter

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