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Conference Paper: A method for identifying non-Gaussian parametric model with time-varying coefficients
Title | A method for identifying non-Gaussian parametric model with time-varying coefficients |
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Authors | |
Keywords | Engineering Electrical engineering |
Issue Date | 2003 |
Publisher | IEEE. |
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? |
Abstract | A 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 Identifier | http://hdl.handle.net/10722/46383 |
ISSN |
DC Field | Value | Language |
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dc.contributor.author | Shen, M | en_HK |
dc.contributor.author | Song, R | en_HK |
dc.contributor.author | Ting, KH | en_HK |
dc.contributor.author | Chan, FHY | en_HK |
dc.date.accessioned | 2007-10-30T06:48:42Z | - |
dc.date.available | 2007-10-30T06:48:42Z | - |
dc.date.issued | 2003 | en_HK |
dc.identifier.citation | IEEE International Conference on Acoustics, Speech and Signal Processing Proceedings, Hong Kong, China, 6-10 April 2003, v. 6, p. 629-632 | en_HK |
dc.identifier.issn | 1520-6149 | en_HK |
dc.identifier.uri | http://hdl.handle.net/10722/46383 | - |
dc.description.abstract | A 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.extent | 197441 bytes | - |
dc.format.extent | 511437 bytes | - |
dc.format.extent | 13817 bytes | - |
dc.format.mimetype | application/pdf | - |
dc.format.mimetype | application/pdf | - |
dc.format.mimetype | text/plain | - |
dc.language | eng | en_HK |
dc.publisher | IEEE. | 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.subject | Engineering | en_HK |
dc.subject | Electrical engineering | en_HK |
dc.title | A method for identifying non-Gaussian parametric model with time-varying coefficients | en_HK |
dc.type | Conference_Paper | en_HK |
dc.identifier.openurl | http://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+coefficients | en_HK |
dc.description.nature | published_or_final_version | en_HK |
dc.identifier.doi | 10.1109/ICASSP.2003.1201760 | en_HK |
dc.identifier.hkuros | 82035 | - |
dc.identifier.issnl | 1520-6149 | - |