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Conference Paper: A new minimum variance spectral estimation method for analyzing click-evoked otoacoustic emissions

TitleA new minimum variance spectral estimation method for analyzing click-evoked otoacoustic emissions
Authors
Issue Date2007
Citation
Proceedings - Ieee International Symposium On Circuits And Systems, 2007, p. 833-836 How to Cite?
AbstractThis paper proposes a new minimum variance spectral estimation (MVSE)-based time-frequency analysis (TFA) for click-evoked otoacoustic emissions (CEOAEs). The conventional MVSE is extended to TFA by windowing the observation data to obtain a time-frequency distribution for the time-series. Based on the characteristics of CEOAEs, the window size is given a small value at high frequencies and a large value at low frequencies. The adaptive window size yields the proposed frequency-dependent WMVSE (FDWMVSE). The FDWMVSE integrates the advantages of adaptive window selection of wavelet transform and good resolution of MVSE. Experimental results show that the FDWMVSE can achieve better frequency resolution than other TFA methods when applied to synthesized and real CEOAEs. ©2007 IEEE.
Persistent Identifierhttp://hdl.handle.net/10722/99015
ISSN
References

 

DC FieldValueLanguage
dc.contributor.authorZhang, ZGen_HK
dc.contributor.authorChan, SCen_HK
dc.contributor.authorZhang, VWen_HK
dc.contributor.authorMcPherson, Ben_HK
dc.date.accessioned2010-09-25T18:12:20Z-
dc.date.available2010-09-25T18:12:20Z-
dc.date.issued2007en_HK
dc.identifier.citationProceedings - Ieee International Symposium On Circuits And Systems, 2007, p. 833-836en_HK
dc.identifier.issn0271-4310en_HK
dc.identifier.urihttp://hdl.handle.net/10722/99015-
dc.description.abstractThis paper proposes a new minimum variance spectral estimation (MVSE)-based time-frequency analysis (TFA) for click-evoked otoacoustic emissions (CEOAEs). The conventional MVSE is extended to TFA by windowing the observation data to obtain a time-frequency distribution for the time-series. Based on the characteristics of CEOAEs, the window size is given a small value at high frequencies and a large value at low frequencies. The adaptive window size yields the proposed frequency-dependent WMVSE (FDWMVSE). The FDWMVSE integrates the advantages of adaptive window selection of wavelet transform and good resolution of MVSE. Experimental results show that the FDWMVSE can achieve better frequency resolution than other TFA methods when applied to synthesized and real CEOAEs. ©2007 IEEE.en_HK
dc.languageengen_HK
dc.relation.ispartofProceedings - IEEE International Symposium on Circuits and Systemsen_HK
dc.titleA new minimum variance spectral estimation method for analyzing click-evoked otoacoustic emissionsen_HK
dc.typeConference_Paperen_HK
dc.identifier.emailZhang, ZG: zhangzg@hku.hken_HK
dc.identifier.emailChan, SC: ascchan@hkucc.hku.hken_HK
dc.identifier.emailMcPherson, B: dbmcpher@hkucc.hku.hken_HK
dc.identifier.authorityZhang, ZG=rp01565en_HK
dc.identifier.authorityChan, SC=rp00094en_HK
dc.identifier.authorityMcPherson, B=rp00937en_HK
dc.description.naturelink_to_subscribed_fulltext-
dc.identifier.scopuseid_2-s2.0-34548824120en_HK
dc.identifier.hkuros140425en_HK
dc.relation.referenceshttp://www.scopus.com/mlt/select.url?eid=2-s2.0-34548824120&selection=ref&src=s&origin=recordpageen_HK
dc.identifier.spage833en_HK
dc.identifier.epage836en_HK
dc.identifier.scopusauthoridZhang, ZG=8597618700en_HK
dc.identifier.scopusauthoridChan, SC=13310287100en_HK
dc.identifier.scopusauthoridZhang, VW=23101824900en_HK
dc.identifier.scopusauthoridMcPherson, B=7006800770en_HK

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