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Conference Paper: Optimal doppler frequency estimators for ultrasound and optical coherence tomography

TitleOptimal doppler frequency estimators for ultrasound and optical coherence tomography
Authors
KeywordsCramer-Rao bounds
Doppler optical coherence tomography
Doppler ultrasound
Frequency estimation
Maximum likelihood estimation
Issue Date2012
PublisherIEEE. The Journal's web site is located at http://ieeexplore.ieee.org/xpl/conhome.jsp?punumber=1001670
Citation
The 2012 IEEE Biomedical Circuits and Systems Conference (BioCAS 2012), Hsinchu, Taiwan, 28-30 November 2012. In Conference Proceedings, 2012, p. 264-267 How to Cite?
AbstractThe Kasai autocorrelation estimator is widely used in Doppler optical coherence tomography and ultrasound to determine blood velocities. However, as a non-parametric estimator, it may not be optimal. Assuming an additive white Gaussian noise (AWGN) model, we show that the Kasai estimator variance is far from the Cramer-Rao lower bound. Moreover, paradoxically, the Kasai estimator performance degrades as the acquisition rate is increased. By contrast, the additive white Gaussian noise maximum likelihood estimator (AWGN MLE) variance asymptotically approaches the Cramer-Rao lower bound, making it a better estimator at high acquisition rates. Nevertheless, the Kasai estimator outperforms the AWGN MLE under moderate levels of multiplicative decorrelation noise, and could therefore be considered more robust. These findings motivate further work in maximum likelihood estimators under conditions of both additive and multiplicative noise. © 2012 IEEE.
DescriptionConference Theme: Intelligent Biomedical Electronics and Systems for Better Life and Better Environment
Persistent Identifierhttp://hdl.handle.net/10722/186789
ISBN

 

DC FieldValueLanguage
dc.contributor.authorChan, ACWen_US
dc.contributor.authorLam, EYen_US
dc.contributor.authorSrinivasan, Ven_US
dc.date.accessioned2013-08-20T12:19:31Z-
dc.date.available2013-08-20T12:19:31Z-
dc.date.issued2012en_US
dc.identifier.citationThe 2012 IEEE Biomedical Circuits and Systems Conference (BioCAS 2012), Hsinchu, Taiwan, 28-30 November 2012. In Conference Proceedings, 2012, p. 264-267en_US
dc.identifier.isbn978-146732293-5-
dc.identifier.urihttp://hdl.handle.net/10722/186789-
dc.descriptionConference Theme: Intelligent Biomedical Electronics and Systems for Better Life and Better Environment-
dc.description.abstractThe Kasai autocorrelation estimator is widely used in Doppler optical coherence tomography and ultrasound to determine blood velocities. However, as a non-parametric estimator, it may not be optimal. Assuming an additive white Gaussian noise (AWGN) model, we show that the Kasai estimator variance is far from the Cramer-Rao lower bound. Moreover, paradoxically, the Kasai estimator performance degrades as the acquisition rate is increased. By contrast, the additive white Gaussian noise maximum likelihood estimator (AWGN MLE) variance asymptotically approaches the Cramer-Rao lower bound, making it a better estimator at high acquisition rates. Nevertheless, the Kasai estimator outperforms the AWGN MLE under moderate levels of multiplicative decorrelation noise, and could therefore be considered more robust. These findings motivate further work in maximum likelihood estimators under conditions of both additive and multiplicative noise. © 2012 IEEE.-
dc.languageengen_US
dc.publisherIEEE. The Journal's web site is located at http://ieeexplore.ieee.org/xpl/conhome.jsp?punumber=1001670-
dc.relation.ispartofIEEE Biomedical Circuits and Systems Conference Proceedingsen_US
dc.rightsIEEE Biomedical Circuits and Systems Conference Proceedings. Copyright © IEEE.-
dc.rights©2012 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.rightsCreative Commons: Attribution 3.0 Hong Kong License-
dc.subjectCramer-Rao bounds-
dc.subjectDoppler optical coherence tomography-
dc.subjectDoppler ultrasound-
dc.subjectFrequency estimation-
dc.subjectMaximum likelihood estimation-
dc.titleOptimal doppler frequency estimators for ultrasound and optical coherence tomographyen_US
dc.typeConference_Paperen_US
dc.identifier.emailChan, ACW: cwachan@eee.hku.hken_US
dc.identifier.emailLam, EY: elam@eee.hku.hk-
dc.identifier.emailSrinivasan, V: vjsriniv@nmr.mgh.harvard.edu-
dc.identifier.authorityLam, EY=rp00131en_US
dc.description.naturepublished_or_final_version-
dc.identifier.doi10.1109/BioCAS.2012.6418446-
dc.identifier.scopuseid_2-s2.0-84874134274-
dc.identifier.hkuros220495en_US
dc.identifier.spage264-
dc.identifier.epage267-
dc.publisher.placeUnited States-
dc.customcontrol.immutablesml 130904-

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