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Conference Paper: A method for identifying non-Gaussian parametric model with time-varying coefficients

TitleA method for identifying non-Gaussian parametric model with time-varying coefficients
Authors
Shen, MSong, RTing, KHChan, FHY
KeywordsEngineering
Electrical engineering
Issue Date2003
PublisherIEEE.
Citation
IEEE International Conference on Acoustics, Speech and Signal Processing Proceedings, Hong Kong, China, 6-10 April 2003, v. 6, p. 629-632 How to Cite?
DOI: http://dx.doi.org/10.1109/ICASSP.2003.1201760
AbstractA method for identifying a non-Gaussian AR model with time-varying parameters is addressed. The proposed approach is based on the application of higher-order spectra (HOS) and wavelet analysis. To solve the problem and identify the characteristics of the time-varying linear system, a time-varying parametric model is proposed as a non-Gaussian AR model. The model coefficients that characterize the time-varying system are the functions of time and can be represented by a family of wavelet basis functions, having the invariant basis coefficients. This method can well track the changes of the model coefficients. The experimental results show the effectiveness of the proposed approach.
Persistent Identifierhttp://hdl.handle.net/10722/46383
ISSN
1520-6149

 

DC FieldValueLanguage
dc.contributor.authorShen, Men_HK
dc.contributor.authorSong, Ren_HK
dc.contributor.authorTing, KHen_HK
dc.contributor.authorChan, FHYen_HK
dc.date.accessioned2007-10-30T06:48:42Z-
dc.date.available2007-10-30T06:48:42Z-
dc.date.issued2003en_HK
dc.identifier.citationIEEE International Conference on Acoustics, Speech and Signal Processing Proceedings, Hong Kong, China, 6-10 April 2003, v. 6, p. 629-632en_HK
dc.identifier.issn1520-6149en_HK
dc.identifier.urihttp://hdl.handle.net/10722/46383-
dc.description.abstractA method for identifying a non-Gaussian AR model with time-varying parameters is addressed. The proposed approach is based on the application of higher-order spectra (HOS) and wavelet analysis. To solve the problem and identify the characteristics of the time-varying linear system, a time-varying parametric model is proposed as a non-Gaussian AR model. The model coefficients that characterize the time-varying system are the functions of time and can be represented by a family of wavelet basis functions, having the invariant basis coefficients. This method can well track the changes of the model coefficients. The experimental results show the effectiveness of the proposed approach.en_HK
dc.format.extent197441 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.rights©2003 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.-
dc.subjectEngineeringen_HK
dc.subjectElectrical engineeringen_HK
dc.titleA method for identifying non-Gaussian parametric model with time-varying coefficientsen_HK
dc.typeConference_Paperen_HK
dc.identifier.openurlhttp://library.hku.hk:4550/resserv?sid=HKU:IR&issn=1520-6149&volume=6&spage=629&epage=632&date=2003&atitle=A+method+for+identifying+non-Gaussian+parametric+model+with+time-varying+coefficientsen_HK
dc.description.naturepublished_or_final_versionen_HK
dc.identifier.doi10.1109/ICASSP.2003.1201760en_HK
dc.identifier.hkuros82035-
dc.identifier.issnl1520-6149-

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