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dc.contributor.authorXian, Junen_US
dc.contributor.authorWu, Shuan-Huen_US
dc.contributor.authorLiew, Alanen_US
dc.contributor.authorSmith, Daviden_US
dc.contributor.authorYan, Hongen_US
dc.contributor.editorN/Aen_US
dc.date.accessioned2017-05-03T16:57:21Z
dc.date.available2017-05-03T16:57:21Z
dc.date.issued2006en_US
dc.date.modified2010-10-27T08:29:40Z
dc.identifier.doi10.1109/ICMLC.2006.259011en_AU
dc.identifier.urihttp://hdl.handle.net/10072/24540
dc.description.abstractSpectrum estimation is a popular method for identifying periodically expressed genes in microarray time series analysis. For unevenly sampled data, a common technique is applying the Lomb-Scargle algorithm. The performance of this method suffers from the effect of noise in the data. In this paper, we propose a new spectrum estimation algorithm for unevenly sampled data. The new method is based on signal reconstructing technic in aliased shift-invariant signal spaces and a direct spectrum estimation formula was derived based on B-spline basis. The new algorithm is very flexible and can reduce the effect of noise by adjusting the order of B-spline basis. The test on simulated noisy signal and typical periodically expressed gene data shows our algorithm is accurate compared with Lomb-Scargle algorithmen_US
dc.description.peerreviewedYesen_US
dc.description.publicationstatusYesen_AU
dc.format.extent452342 bytes
dc.format.extent20005 bytes
dc.format.mimetypeapplication/pdf
dc.format.mimetypetext/plain
dc.languageEnglishen_US
dc.language.isoen_AU
dc.publisherIEEEen_US
dc.publisher.placePiscataway, USAen_US
dc.relation.ispartofstudentpublicationNen_AU
dc.relation.ispartofconferencenameFifth International Conference on Machine Learning and Cybernetics,en_US
dc.relation.ispartofconferencetitleProceedings of the Fifth International Conference on Machine Learning and Cybernetics,en_US
dc.relation.ispartofdatefrom2006-08-13en_US
dc.relation.ispartofdateto2006-08-16en_US
dc.relation.ispartoflocationDalianen_US
dc.rights.retentionYen_AU
dc.subject.fieldofresearchcode280204en_US
dc.titleA new spectrum estimation method in unevenly sampling spaceen_US
dc.typeConference outputen_US
dc.type.descriptionE1 - Conference Publications (HERDC)en_US
dc.type.codeE - Conference Publicationsen_US
gro.rights.copyrightCopyright 2006 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_AU
gro.date.issued2006
gro.hasfulltextFull Text


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    Contains papers delivered by Griffith authors at national and international conferences.

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