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dc.contributor.authorBai, MRen_US
dc.contributor.authorElliott, SJen_US
dc.date.accessioned2014-12-08T15:39:28Z-
dc.date.available2014-12-08T15:39:28Z-
dc.date.issued2004-03-05en_US
dc.identifier.issn0022-460Xen_US
dc.identifier.urihttp://hdl.handle.net/11536/26955-
dc.description.abstractIt is well known that the convergence rate of multichannel LMS-based algorithms is limited by the correlation properties of the reference signals and the cross-coupling within the plant dynamics. These factors give rise to excessive eigenvalue spread and slow convergence rate of a gradient descent algorithm. A preconditioning technique is developed in this study for the multichannel LMS algorithm so as to improve its convergence rate. Signal prewhitening and system decoupling are the two key elements of the proposed techniques. Preconditioning filters are first formulated in the frequency domain by using eigenvalue decomposition and singular value decomposition. These filters are then transformed into the time domain with causality taken into account. The preconditioning filters are incorporated into a multichannel LMS algorithm, where the reference signals are prewhitened and the plants are decoupled prior to the adaptation process. Simulations for a two-channel/one listener cross-talk cancellation problem illustrate the effectiveness of the preconditioning technique in improving the convergence rate of the adaptive algorithms. (C) 2003 Elsevier Science Ltd. All rights reserved.en_US
dc.language.isoen_USen_US
dc.titlePreconditioning multichannel adaptive filtering algorithms using EVD- and SVD-based signal prewhitening and system decouplingen_US
dc.typeArticleen_US
dc.identifier.journalJOURNAL OF SOUND AND VIBRATIONen_US
dc.citation.volume270en_US
dc.citation.issue4-5en_US
dc.citation.spage639en_US
dc.citation.epage655en_US
dc.contributor.department機械工程學系zh_TW
dc.contributor.departmentDepartment of Mechanical Engineeringen_US
dc.identifier.wosnumberWOS:000189216500004-
dc.citation.woscount7-
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