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Conference Paper: A Fast Signal-Dependent Time-Frequency Representation

TitleA Fast Signal-Dependent Time-Frequency Representation
Authors
Lin, YMChan, FHYLam, FK
KeywordsMedical sciences
Computer applications
Issue Date1996
PublisherIEEE.
Citation
Bridging Disciplines for Biomedicine, the 18th IEEE Engineering in Medicine and Biology Society Conference Proceedings, Amsterdam, 31 October - 3 November 1996, v. 3, p. 1041-1042 How to Cite?
DOI: http://dx.doi.org/10.1109/IEMBS.1996.652700
AbstractIn last few years, in order to overcome same limitations of the short time Fourier transform (STFT), while avoiding the cross-terms that make the Wigner distribution difficult to interpret, some signal-dependent time-frequency representations (SDTFR) have been proposed. In this paper, the authors introduce a computationally efficient signal-dependent time-frequency method which is suitable for on-line analysis. This SDTFR uses a Gaussian window (GW) similar to STFT, but varies the parameter σ of the GW with time to achieve high signal concentration and high resolution in time. The parameter σ can be automatically calculated by the slope of instantaneous frequency (IF) and instantaneous bandwidth (IB) at that time.
Persistent Identifierhttp://hdl.handle.net/10722/46012
ISSN
1557-170X
2020 SCImago Journal Rankings: 0.282

 

DC FieldValueLanguage
dc.contributor.authorLin, YMen_HK
dc.contributor.authorChan, FHYen_HK
dc.contributor.authorLam, FKen_HK
dc.date.accessioned2007-10-30T06:40:36Z-
dc.date.available2007-10-30T06:40:36Z-
dc.date.issued1996en_HK
dc.identifier.citationBridging Disciplines for Biomedicine, the 18th IEEE Engineering in Medicine and Biology Society Conference Proceedings, Amsterdam, 31 October - 3 November 1996, v. 3, p. 1041-1042en_HK
dc.identifier.issn1557-170Xen_HK
dc.identifier.urihttp://hdl.handle.net/10722/46012-
dc.description.abstractIn last few years, in order to overcome same limitations of the short time Fourier transform (STFT), while avoiding the cross-terms that make the Wigner distribution difficult to interpret, some signal-dependent time-frequency representations (SDTFR) have been proposed. In this paper, the authors introduce a computationally efficient signal-dependent time-frequency method which is suitable for on-line analysis. This SDTFR uses a Gaussian window (GW) similar to STFT, but varies the parameter σ of the GW with time to achieve high signal concentration and high resolution in time. The parameter σ can be automatically calculated by the slope of instantaneous frequency (IF) and instantaneous bandwidth (IB) at that time.en_HK
dc.format.extent242938 bytes-
dc.format.extent13817 bytes-
dc.format.extent8841 bytes-
dc.format.mimetypeapplication/pdf-
dc.format.mimetypetext/plain-
dc.format.mimetypetext/plain-
dc.languageengen_HK
dc.publisherIEEE.en_HK
dc.rights©1996 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.subjectMedical sciencesen_HK
dc.subjectComputer applicationsen_HK
dc.titleA Fast Signal-Dependent Time-Frequency Representationen_HK
dc.typeConference_Paperen_HK
dc.identifier.openurlhttp://library.hku.hk:4550/resserv?sid=HKU:IR&issn=1557-170X&volume=3&spage=1041&epage=1042&date=1996&atitle=A+Fast+Signal-Dependent+Time-Frequency+Representationen_HK
dc.description.naturepublished_or_final_versionen_HK
dc.identifier.doi10.1109/IEMBS.1996.652700en_HK
dc.identifier.hkuros27234-
dc.identifier.issnl1557-170X-

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