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dc.contributor.authorSomerset, Emilyen
dc.date.accessioned2017-12-15T16:13:37Z
dc.date.available2017-12-15T16:13:37Z
dc.identifier.urihttp://hdl.handle.net/1974/23781
dc.description.abstractIn this thesis, a deeper understanding of the theory of cyclostationary processes is sought. Conventional spectrum estimation techniques assume that the data is a realization of a stationary process. If the data is cyclostationary, standard methodology, which assumes stationarity and so autocovariances that are unchanging over time, may lead to poor data analysis. A contribution of this thesis is the development, testing and comparison of three proposed statistical tests for the presence of cyclostationarity in time series data. Moreover, it is hypothesized here that interplanetary magnetic field data collected at ACE is almost-cyclostationary and this thesis aims to determine a set of low-frequency periodic components of its autocorrelation function.en
dc.language.isoengen
dc.relation.ispartofseriesCanadian thesesen
dc.rightsQueen's University's Thesis/Dissertation Non-Exclusive License for Deposit to QSpace and Library and Archives Canadaen
dc.rightsProQuest PhD and Master's Theses International Dissemination Agreementen
dc.rightsIntellectual Property Guidelines at Queen's Universityen
dc.rightsCopying and Preserving Your Thesisen
dc.rightsThis publication is made available by the authority of the copyright owner solely for the purpose of private study and research and may not be copied or reproduced except as permitted by the copyright laws without written authority from the copyright owner.en
dc.rightsCC0 1.0 Universalen
dc.rights.urihttp://creativecommons.org/publicdomain/zero/1.0/
dc.subjectSpectral Analysisen
dc.subjectACEen
dc.subjectInterplanetary Magnetic Fielden
dc.subjectCyclostationarityen
dc.subjectOffset Magnitude-Squared Coherenceen
dc.subjectMultitaper Spectral Analysisen
dc.titleMultitaper Methods for Cyclostationary Feature Detection in Time Series Data: Application to ACE Interplanetary Magnetic Field Dataen
dc.typethesisen
dc.description.degreeM.Sc.en
dc.contributor.supervisorTakahara, Glenen
dc.contributor.supervisorLin, Devonen
dc.contributor.supervisorThomson, Daviden
dc.contributor.departmentMathematics and Statisticsen
dc.degree.grantorQueen's University at Kingstonen


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Queen's University's Thesis/Dissertation Non-Exclusive License for Deposit to QSpace and Library and Archives Canada
Except where otherwise noted, this item's license is described as Queen's University's Thesis/Dissertation Non-Exclusive License for Deposit to QSpace and Library and Archives Canada