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

Simple item page
dc.contributor.authorStevenson, Nathan J.
dc.contributor.authorMesbah, Mostefa
dc.contributor.authorBoashash, Boualem
dc.date.accessioned2012-07-11T14:23:51Z
dc.date.available2012-07-11T14:23:51Z
dc.date.copyright2010
dc.date.issued2010-08
dc.date.updated2012-07-11T10:36:41Z
dc.description.abstractThis 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.description.statusPeer revieweden
dc.description.versionAccepted Versionen
dc.format.mimetypeapplication/pdfen
dc.identifier.citationStevenson, 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.2009.0084en
dc.identifier.doi10.1049/iet-spr.2009.0084
dc.identifier.endpage456en
dc.identifier.issn1751-9675
dc.identifier.issued4en
dc.identifier.journaltitleIet Signal Processingen
dc.identifier.startpage447en
dc.identifier.urihttps://hdl.handle.net/10468/630
dc.identifier.volume4en
dc.language.isoenen
dc.publisherInstitution 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.subjectHilbert spectrumen
dc.subjectMultiple-view time-frequency distributionen
dc.subjectEmpirical mode decompositionen
dc.subjectComposite time-frequencyen
dc.subjectTFDen
dc.subjectTime- frequency domainen
dc.subjectWigner-Ville distributionen
dc.subjectMultiple signal componentsen
dc.subjectRadar signal processingen
dc.subjectSonar signal processingen
dc.subjectEMDen
dc.titleMultiple-view time-frequency distribution based on the empirical mode decompositionen
dc.typeArticle (peer-reviewed)en
Files
Original bundle
Now showing 1 - 1 of 1
Thumbnail Image
Name:
emd_tfd.pdf
Size:
797.54 KB
Format:
Adobe Portable Document Format
Description:
Accepted Version
Download
License bundle
Now showing 1 - 1 of 1
Thumbnail Image
Name:
license.txt
Size:
2.71 KB
Format:
Item-specific license agreed upon to submission
Description:
Download
Collections
Paediatrics and Child Health - Journal Articles
Neonatal Brain Research Group - Journal Articles