File Download
  Links for fulltext
     (May Require Subscription)
Supplementary

Conference Paper: A robust statistics based adaptive lattice-ladder filter in impulsive noise

TitleA robust statistics based adaptive lattice-ladder filter in impulsive noise
Authors
KeywordsElectronics
Issue Date2000
PublisherIEEE.
Citation
The 2000 IEEE International Symposium on Circuits and Systems, Geneva, Switzerland, 28-31 May 2000. In Historic Title IEEE International Symposium on Circuits and Systems Proceedings, 2000, v. 3, p. 539-542 How to Cite?
AbstractIn this paper, a new robust adaptive lattice-ladder filter for impulsive noise suppression is proposed. The filter is obtained by applying the non-linear filtering technique in [l] and the robust statistic approach to the gradient adaptive lattice filter. A systematic method is also developed to determine the corresponding threshold parameters for impulse suppression. Simulation results showed that the performance of the proposed algorithm is better than the conventional RLS, N-RLS, the gradient adaptive lattice normalised-LMS (GAL-NLMS), RMN and ATNA algorithms when the input and desired signals are corrupted by individual and consecutive impulses. The initial convergence, steady-state error, computational complexity and tracking capability of the proposed algorithm are also comparable to the conventional GAL-NLMS algorithm.
Persistent Identifierhttp://hdl.handle.net/10722/46172
ISSN
References

 

DC FieldValueLanguage
dc.contributor.authorZou, YXen_HK
dc.contributor.authorChan, SCen_HK
dc.contributor.authorNg, TSen_HK
dc.date.accessioned2007-10-30T06:44:04Z-
dc.date.available2007-10-30T06:44:04Z-
dc.date.issued2000en_HK
dc.identifier.citationThe 2000 IEEE International Symposium on Circuits and Systems, Geneva, Switzerland, 28-31 May 2000. In Historic Title IEEE International Symposium on Circuits and Systems Proceedings, 2000, v. 3, p. 539-542en_HK
dc.identifier.issn0271-4302en_HK
dc.identifier.urihttp://hdl.handle.net/10722/46172-
dc.description.abstractIn this paper, a new robust adaptive lattice-ladder filter for impulsive noise suppression is proposed. The filter is obtained by applying the non-linear filtering technique in [l] and the robust statistic approach to the gradient adaptive lattice filter. A systematic method is also developed to determine the corresponding threshold parameters for impulse suppression. Simulation results showed that the performance of the proposed algorithm is better than the conventional RLS, N-RLS, the gradient adaptive lattice normalised-LMS (GAL-NLMS), RMN and ATNA algorithms when the input and desired signals are corrupted by individual and consecutive impulses. The initial convergence, steady-state error, computational complexity and tracking capability of the proposed algorithm are also comparable to the conventional GAL-NLMS algorithm.en_HK
dc.languageengen_HK
dc.publisherIEEE.en_HK
dc.relation.ispartofHistoric Title IEEE International Symposium on Circuits and Systems Proceedings-
dc.rights©1999 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.rightsCreative Commons: Attribution 3.0 Hong Kong License-
dc.subjectElectronicsen_HK
dc.titleA robust statistics based adaptive lattice-ladder filter in impulsive noiseen_HK
dc.typeConference_Paperen_HK
dc.identifier.openurlhttp://library.hku.hk:4550/resserv?sid=HKU:IR&issn=0271-4302&volume=3&spage=539&epage=542&date=1999&atitle=A+robust+statistics+based+adaptive+lattice-ladder+filter+in+impulsive+noiseen_HK
dc.identifier.emailChan, ShingChow:scchan@eee.hku.hk-
dc.identifier.emailNg, TungSang:tsng@eee.hku.hk-
dc.identifier.authorityChan, ShingChow=rp00094-
dc.identifier.authorityNg, TungSang=rp00159-
dc.description.naturepublished_or_final_versionen_HK
dc.identifier.doi10.1109/ISCAS.2000.856116en_HK
dc.identifier.scopuseid_2-s2.0-0033717851-
dc.identifier.hkuros50910-
dc.relation.referenceshttp://www.scopus.com/mlt/select.url?eid=2-s2.0-0033717851&selection=ref&src=s&origin=recordpage-
dc.identifier.volume3-
dc.identifier.spage539-
dc.identifier.epage542-
dc.identifier.scopusauthoridZou, YueXian=7402166847-
dc.identifier.scopusauthoridChan, ShingChow=13310287100-
dc.identifier.scopusauthoridNg, TungSang=7402229975-
dc.customcontrol.immutablesml 151023 - merged-

Export via OAI-PMH Interface in XML Formats


OR


Export to Other Non-XML Formats