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Article: Transform domain adaptive Volterra filter algorithm based on constrained optimization
Title | Transform domain adaptive Volterra filter algorithm based on constrained optimization |
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Authors | |
Issue Date | 1999 |
Citation | Proceedings - Ieee International Symposium On Circuits And Systems, 1999, v. 3, p. III-219 - III-222 How to Cite? |
Abstract | In this paper, a transform domain normalised partially decoupled LMS (TP-LMS) algorithm is proposed based on the partially decoupled transform domain Voltera filter. It is formulated by applying an orthogonal transform to the first order of the partially decoupled Volterra filter, in which the filter weights of a given order are optimised independently of those in the higher order. This approach results in solving the minimum mean square error (MSE) filtering problem as a series of constrained optimisation problem and the modular structure order by order. Simulation of a system identification application indicates TP-LMS algorithm provides a trade-off between convergence speed and computational complexity. |
Persistent Identifier | http://hdl.handle.net/10722/155097 |
ISSN | 2023 SCImago Journal Rankings: 0.307 |
DC Field | Value | Language |
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dc.contributor.author | Zou, Yuexian | en_US |
dc.contributor.author | Chan, ShingChow | en_US |
dc.contributor.author | Ng, TungSang | en_US |
dc.date.accessioned | 2012-08-08T08:31:51Z | - |
dc.date.available | 2012-08-08T08:31:51Z | - |
dc.date.issued | 1999 | en_US |
dc.identifier.citation | Proceedings - Ieee International Symposium On Circuits And Systems, 1999, v. 3, p. III-219 - III-222 | en_US |
dc.identifier.issn | 0271-4310 | en_US |
dc.identifier.uri | http://hdl.handle.net/10722/155097 | - |
dc.description.abstract | In this paper, a transform domain normalised partially decoupled LMS (TP-LMS) algorithm is proposed based on the partially decoupled transform domain Voltera filter. It is formulated by applying an orthogonal transform to the first order of the partially decoupled Volterra filter, in which the filter weights of a given order are optimised independently of those in the higher order. This approach results in solving the minimum mean square error (MSE) filtering problem as a series of constrained optimisation problem and the modular structure order by order. Simulation of a system identification application indicates TP-LMS algorithm provides a trade-off between convergence speed and computational complexity. | en_US |
dc.language | eng | en_US |
dc.relation.ispartof | Proceedings - IEEE International Symposium on Circuits and Systems | en_US |
dc.title | Transform domain adaptive Volterra filter algorithm based on constrained optimization | en_US |
dc.type | Article | en_US |
dc.identifier.email | Chan, ShingChow:scchan@eee.hku.hk | en_US |
dc.identifier.email | Ng, TungSang:tsng@eee.hku.hk | en_US |
dc.identifier.authority | Chan, ShingChow=rp00094 | en_US |
dc.identifier.authority | Ng, TungSang=rp00159 | en_US |
dc.description.nature | link_to_subscribed_fulltext | en_US |
dc.identifier.scopus | eid_2-s2.0-0032643594 | en_US |
dc.identifier.volume | 3 | en_US |
dc.identifier.spage | III | en_US |
dc.identifier.epage | 219 | en_US |
dc.identifier.scopusauthorid | Zou, Yuexian=7402166847 | en_US |
dc.identifier.scopusauthorid | Chan, ShingChow=13310287100 | en_US |
dc.identifier.scopusauthorid | Ng, TungSang=7402229975 | en_US |
dc.identifier.issnl | 0271-4310 | - |