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dc.contributor.authorAkçay, Hüseyin
dc.contributor.authorTürkay, Semiha
dc.date.accessioned2019-10-21T20:41:24Z
dc.date.available2019-10-21T20:41:24Z
dc.date.issued2018
dc.identifier.isbn9781538660898
dc.identifier.issn1948-3449
dc.identifier.urihttps://dx.doi.org/10.1109/ICCA.2018.8444313
dc.identifier.urihttps://hdl.handle.net/11421/20775
dc.description14th IEEE International Conference on Control and Automation, ICCA 2018 -- 12 June 2018 through 15 June 2018 -- -- 138930en_US
dc.description.abstractIn this paper, identification of discrete-time power spectra of multi-input/multi-output models in innovation form from output-only time-domain measurements is studied. Two regularized nuclear norm minimization-based subspace algorithms are proposed. One of the algorithms is capable of handling missing dataen_US
dc.language.isoengen_US
dc.publisherIEEE Computer Societyen_US
dc.relation.isversionof10.1109/ICCA.2018.8444313en_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectInnovation Modelen_US
dc.subjectMissing Dataen_US
dc.subjectPower Spectrumen_US
dc.subjectRegularizationen_US
dc.subjectSubspace Methoden_US
dc.subjectSystem Identificationen_US
dc.titlePower Spectrum Estimation in Innovation Models by Nuclear Norm Optimizationen_US
dc.typeconferenceObjecten_US
dc.relation.journalIEEE International Conference on Control and Automation, ICCAen_US
dc.contributor.departmentAnadolu Üniversitesi, Mühendislik Fakültesi, Elektrik ve Elektronik Mühendisliği Bölümüen_US
dc.identifier.volume2018-Juneen_US
dc.identifier.startpage662en_US
dc.identifier.endpage667en_US
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US]
dc.contributor.institutionauthorAkçay, Hüseyin
dc.contributor.institutionauthorTürkay, Semiha


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