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dc.contributor.authorSomerset, Emily
dc.contributor.otherQueen's University (Kingston, Ont.). Theses (Queen's University (Kingston, Ont.))en
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_US
dc.language.isoenen_US
dc.relation.ispartofseriesCanadian thesesen
dc.rightsQueen's University's Thesis/Dissertation Non-Exclusive License for Deposit to QSpace and Library and Archives Canada*
dc.rightsProQuest PhD and Master's Theses International Dissemination Agreement*
dc.rightsIntellectual Property Guidelines at Queen's University*
dc.rightsCopying and Preserving Your Thesis*
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.*
dc.rightsCC0 1.0 Universal*
dc.rights.urihttp://creativecommons.org/publicdomain/zero/1.0/*
dc.subjectSpectral Analysisen_US
dc.subjectACEen_US
dc.subjectInterplanetary Magnetic Fielden_US
dc.subjectCyclostationarityen_US
dc.subjectOffset Magnitude-Squared Coherenceen_US
dc.subjectMultitaper Spectral Analysisen_US
dc.titleMultitaper Methods for Cyclostationary Feature Detection in Time Series Data: Application to ACE Interplanetary Magnetic Field Dataen_US
dc.typethesisen
dc.description.degreeMaster of Scienceen_US
dc.contributor.supervisorTakahara, Glen
dc.contributor.supervisorLin, Devon
dc.contributor.supervisorThomson, David
dc.contributor.departmentMathematics and Statisticsen_US


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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