Multiple-view time-frequency distribution based on the empirical mode decomposition

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dc.contributor.author Stevenson, Nathan J.
dc.contributor.author Mesbah, Mostefa
dc.contributor.author Boashash, Boualem
dc.date.accessioned 2012-07-11T14:23:51Z
dc.date.available 2012-07-11T14:23:51Z
dc.date.copyright 2010
dc.date.issued 2010-08
dc.identifier.citation Stevenson, NJ, Mesbah, M, Boashash, B; (2010) 'Multiple-view time-frequency distribution based on the empirical mode decomposition'. Iet Signal Processing, 4 (4) :447-456. doi: 10.1049/iet-spr.2009.0084 en
dc.identifier.volume 4 en
dc.identifier.issued 4 en
dc.identifier.startpage 447 en
dc.identifier.endpage 456 en
dc.identifier.issn 1751-9675
dc.identifier.uri http://hdl.handle.net/10468/630
dc.identifier.doi 10.1049/iet-spr.2009.0084
dc.description.abstract This study proposes a novel, composite time-frequency distribution (TFD) constructed using a multiple-view approach. This composite TFD utilises the intrinsic mode functions (IMFs) of the empirical mode decomposition (EMD) to generate each view that are then combined using the arithmetic mean. This process has the potential to eliminate the inter-component interference generated by a quadratic TFD (QTFD), as the IMFs of the EMD are, in general, monocomponent signals. The formulation of the multiple-view TFD in the ambiguity domain results in faster computation, compared to a convolutive implementation in the time-frequency domain, and a more robust TFD in the presence of noise. The composite TFD, referred to as the EMD-TFD, was shown to generate a heuristically more accurate representation of the distribution of time-frequency energy in a signal. It was also shown to have performance comparable to the Wigner-Ville distribution when estimating the instantaneous frequency of multiple signal components in the presence of noise. en
dc.format.mimetype application/pdf en
dc.language.iso en en
dc.publisher Institution of Engineering and Technology (IET) en
dc.rights © 2010 The Institution of Engineering and Technology. This paper is a postprint of a paper submitted to and accepted for publication in IET Signal Processing and is subject to Institution of Engineering and Technology Copyright. The copy of record is available at IET Digital Library. en
dc.subject Hilbert spectrum en
dc.subject Multiple-view time-frequency distribution en
dc.subject Empirical mode decomposition en
dc.subject Composite time-frequency en
dc.subject TFD en
dc.subject Time- frequency domain en
dc.subject Wigner-Ville distribution en
dc.subject Multiple signal components en
dc.subject Radar signal processing en
dc.subject Sonar signal processing en
dc.subject EMD en
dc.title Multiple-view time-frequency distribution based on the empirical mode decomposition en
dc.type Article (peer-reviewed) en
dc.internal.authorurl http://research.ucc.ie/profiles/C005/nstevenson en
dc.internal.authorcontactother Nathan Stevenson, Paediatrics & Child Health, University College Cork, Cork, Ireland. +353-21-490-3000 Email: n.stevenson@ucc.ie en
dc.internal.availability Full text available en
dc.date.updated 2012-07-11T10:36:41Z
dc.description.version Accepted Version en
dc.internal.rssid 70046780
dc.internal.wokid 000280766800014
dc.description.status Peer reviewed en
dc.identifier.journaltitle Iet Signal Processing en
dc.internal.copyrightchecked No (author). CORA check Romeo. Accepted version uploaded. en
dc.internal.licenseacceptance Yes en


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