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Conference Paper: An approach for identification of non-Gaussian linear system with time-varying parameters

TitleAn approach for identification of non-Gaussian linear system with time-varying parameters
Authors
KeywordsTime-varying linear system
Wavelet basis
Higher-order spectra
Issue Date2002
PublisherIEEE.
Citation
IEEE Region 10 Conference on Computers, Communications, Control and Power Engineering Proceedings, Beijing, China, 28-31 October 2002, v. 3, p. 1294-1297 How to Cite?
AbstractA new approach for identification of non-Gaussian linear system with time-varying parameters is addressed in this paper. The proposed method is based on the application of higher-order spectra (HOS) and wavelet analysis. In order to solve the problem and identify the characteristics of the time-varying linear system, a time-varying parametric model is proposed as non-Gaussian AR model. The model parameters that characterize the time-varying system are functions of time and can be represented by a family of wavelet basis functions, of which the corresponding basis coefficients are invariant. This method can well track the changes of the model parameters, and the results show its effectiveness of the proposed approach.
Persistent Identifierhttp://hdl.handle.net/10722/46380
ISSN

 

DC FieldValueLanguage
dc.contributor.authorShen, Men_HK
dc.contributor.authorSong, Ren_HK
dc.contributor.authorTing, KHen_HK
dc.contributor.authorChan, FHYen_HK
dc.date.accessioned2007-10-30T06:48:38Z-
dc.date.available2007-10-30T06:48:38Z-
dc.date.issued2002en_HK
dc.identifier.citationIEEE Region 10 Conference on Computers, Communications, Control and Power Engineering Proceedings, Beijing, China, 28-31 October 2002, v. 3, p. 1294-1297en_HK
dc.identifier.issn0886-1420en_HK
dc.identifier.urihttp://hdl.handle.net/10722/46380-
dc.description.abstractA new approach for identification of non-Gaussian linear system with time-varying parameters is addressed in this paper. The proposed method is based on the application of higher-order spectra (HOS) and wavelet analysis. In order to solve the problem and identify the characteristics of the time-varying linear system, a time-varying parametric model is proposed as non-Gaussian AR model. The model parameters that characterize the time-varying system are functions of time and can be represented by a family of wavelet basis functions, of which the corresponding basis coefficients are invariant. This method can well track the changes of the model parameters, and the results show its effectiveness of the proposed approach.en_HK
dc.format.extent273278 bytes-
dc.format.extent511437 bytes-
dc.format.extent13817 bytes-
dc.format.mimetypeapplication/pdf-
dc.format.mimetypeapplication/pdf-
dc.format.mimetypetext/plain-
dc.languageengen_HK
dc.publisherIEEE.en_HK
dc.rightsCreative Commons: Attribution 3.0 Hong Kong License-
dc.rights©2002 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.en_HK
dc.subjectTime-varying linear systemen_HK
dc.subjectWavelet basisen_HK
dc.subjectHigher-order spectraen_HK
dc.titleAn approach for identification of non-Gaussian linear system with time-varying parametersen_HK
dc.typeConference_Paperen_HK
dc.identifier.openurlhttp://library.hku.hk:4550/resserv?sid=HKU:IR&issn=0886-1420&volume=3&spage=1294&epage=1297&date=2002&atitle=An+approach+for+identification+of+non-Gaussian+linear+system+with+time-varying+parametersen_HK
dc.description.naturepublished_or_final_versionen_HK
dc.identifier.hkuros81962-

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