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Conference Paper: Robust adaptive Lomb periodogram for time-frequency analysis of signals with sinusoidal and transient components

TitleRobust adaptive Lomb periodogram for time-frequency analysis of signals with sinusoidal and transient components
Authors
KeywordsEngineering
Electrical engineering
Issue Date2005
PublisherIEEE.
Citation
Icassp, Ieee International Conference On Acoustics, Speech And Signal Processing - Proceedings, 2005, v. IV, p. IV493-IV496 How to Cite?
AbstractThis article introduces a robust adaptive Lomb periodogram (RALP) for time-frequency (TF) analysis of time series with sinusoidal and transient components, which are possibly non-uniformly sampled. It extends the conventional Lomb spectrum by windowing the observation data and adaptively selects the window lengths by the intersection of confidence intervals (ICI) rule. The influence of transient components to conventional time-frequency representation can be moderated using M-estimation of robust statistics. Instead of treating the transient components as impulsive noise and removing them, the proposed RALP TF distribution yields separately a time domain representation of the transient components and a conventional TF representation of the sinusoidal components, which greatly improves the visualization and detection of these components. Simulation results show that the proposed RALP differentiates the two kinds of components well, and offers better time and frequency resolutions than the conventional Lomb periodogram. © 2005 IEEE.
Persistent Identifierhttp://hdl.handle.net/10722/45778
ISSN
References

 

DC FieldValueLanguage
dc.contributor.authorZhang, Zen_HK
dc.contributor.authorChan, SCen_HK
dc.date.accessioned2007-10-30T06:35:15Z-
dc.date.available2007-10-30T06:35:15Z-
dc.date.issued2005en_HK
dc.identifier.citationIcassp, Ieee International Conference On Acoustics, Speech And Signal Processing - Proceedings, 2005, v. IV, p. IV493-IV496en_HK
dc.identifier.issn1520-6149en_HK
dc.identifier.urihttp://hdl.handle.net/10722/45778-
dc.description.abstractThis article introduces a robust adaptive Lomb periodogram (RALP) for time-frequency (TF) analysis of time series with sinusoidal and transient components, which are possibly non-uniformly sampled. It extends the conventional Lomb spectrum by windowing the observation data and adaptively selects the window lengths by the intersection of confidence intervals (ICI) rule. The influence of transient components to conventional time-frequency representation can be moderated using M-estimation of robust statistics. Instead of treating the transient components as impulsive noise and removing them, the proposed RALP TF distribution yields separately a time domain representation of the transient components and a conventional TF representation of the sinusoidal components, which greatly improves the visualization and detection of these components. Simulation results show that the proposed RALP differentiates the two kinds of components well, and offers better time and frequency resolutions than the conventional Lomb periodogram. © 2005 IEEE.en_HK
dc.format.extent230692 bytes-
dc.format.extent27162 bytes-
dc.format.mimetypeapplication/pdf-
dc.format.mimetypetext/plain-
dc.languageengen_HK
dc.publisherIEEE.en_HK
dc.relation.ispartofICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedingsen_HK
dc.rights©2005 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.titleRobust adaptive Lomb periodogram for time-frequency analysis of signals with sinusoidal and transient componentsen_HK
dc.typeConference_Paperen_HK
dc.identifier.openurlhttp://library.hku.hk:4550/resserv?sid=HKU:IR&issn=1520-6149&volume=4&spage=493&epage=496&date=2005&atitle=Robust+Adaptive+Lomb+Periodogram+for+Time-frequency+Analysis+of+Signals+with+Sinusoidal+and+Transient+Componentsen_HK
dc.identifier.emailZhang, Z:zgzhang@eee.hku.hken_HK
dc.identifier.emailChan, SC:scchan@eee.hku.hken_HK
dc.identifier.authorityZhang, Z=rp01565en_HK
dc.identifier.authorityChan, SC=rp00094en_HK
dc.description.naturepublished_or_final_versionen_HK
dc.identifier.doi10.1109/ICASSP.2005.1416053en_HK
dc.identifier.scopuseid_2-s2.0-33646799842en_HK
dc.identifier.hkuros102935-
dc.relation.referenceshttp://www.scopus.com/mlt/select.url?eid=2-s2.0-33646799842&selection=ref&src=s&origin=recordpageen_HK
dc.identifier.volumeIVen_HK
dc.identifier.spageIV493en_HK
dc.identifier.epageIV496en_HK
dc.publisher.placeUnited Statesen_HK
dc.identifier.scopusauthoridZhang, Z=8597618700en_HK
dc.identifier.scopusauthoridChan, SC=13310287100en_HK
dc.identifier.issnl1520-6149-

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