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Conference Paper: A method for estimating the instantaneous frequency of non-stationary heart sound signals

TitleA method for estimating the instantaneous frequency of non-stationary heart sound signals
Authors
KeywordsComputers
Artificial intelligence
Issue Date2003
PublisherIEEE. The Journal's web site is located at http://ieeexplore.ieee.org/xpl/conferences.jsp
Citation
International Conference on Neural Networks and Signal Processing Proceedings, Nanjing, China, 14-17 December 2003, v. 1, p. 798-801 How to Cite?
AbstractPractical signals such as speech, biomedical measurement and communications turn out to be extremely non-stationary and nonlinear time series. Traditional FFT-based power spectral analysis fails to deal with these transient signals. To provide more efficient way for investigating non-stationary and nonlinear signals with high time-frequency resolution and extract more information regarding the transient frequency features involved in the signals, a novel method based on the instantaneous frequency distribution is developed in this paper to provide the time-frequency distribution of the practical signals. The aim of this contribution is to explore the role that both empirical mode decomposition and Hilbert transform can be used to play in such practical signals. Both simulation and experimental results were presented and analyzed to demonstrate the power and effectiveness of the proposed new time-frequency distribution.
Persistent Identifierhttp://hdl.handle.net/10722/46511
ISSN

 

DC FieldValueLanguage
dc.contributor.authorSun, LSen_HK
dc.contributor.authorShen, MFen_HK
dc.contributor.authorChan, FHYen_HK
dc.date.accessioned2007-10-30T06:51:36Z-
dc.date.available2007-10-30T06:51:36Z-
dc.date.issued2003en_HK
dc.identifier.citationInternational Conference on Neural Networks and Signal Processing Proceedings, Nanjing, China, 14-17 December 2003, v. 1, p. 798-801en_HK
dc.identifier.issn1089-3555en_HK
dc.identifier.urihttp://hdl.handle.net/10722/46511-
dc.description.abstractPractical signals such as speech, biomedical measurement and communications turn out to be extremely non-stationary and nonlinear time series. Traditional FFT-based power spectral analysis fails to deal with these transient signals. To provide more efficient way for investigating non-stationary and nonlinear signals with high time-frequency resolution and extract more information regarding the transient frequency features involved in the signals, a novel method based on the instantaneous frequency distribution is developed in this paper to provide the time-frequency distribution of the practical signals. The aim of this contribution is to explore the role that both empirical mode decomposition and Hilbert transform can be used to play in such practical signals. Both simulation and experimental results were presented and analyzed to demonstrate the power and effectiveness of the proposed new time-frequency distribution.en_HK
dc.format.extent223829 bytes-
dc.format.extent13817 bytes-
dc.format.mimetypeapplication/pdf-
dc.format.mimetypetext/plain-
dc.languageengen_HK
dc.publisherIEEE. The Journal's web site is located at http://ieeexplore.ieee.org/xpl/conferences.jspen_HK
dc.rights©2003 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.subjectComputersen_HK
dc.subjectArtificial intelligenceen_HK
dc.titleA method for estimating the instantaneous frequency of non-stationary heart sound signalsen_HK
dc.typeConference_Paperen_HK
dc.identifier.openurlhttp://library.hku.hk:4550/resserv?sid=HKU:IR&issn=1089-3555&volume=1&spage=798&epage=801&date=2003&atitle=A+method+for+estimating+the+instantaneous+frequency+of+non-stationary+heart+sound+signalsen_HK
dc.description.naturepublished_or_final_versionen_HK
dc.identifier.hkuros95143-

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