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dc.contributor.authorAkçay, Hüseyin
dc.contributor.authorTürkay, Semiha
dc.date.accessioned2019-10-21T20:11:34Z
dc.date.available2019-10-21T20:11:34Z
dc.date.issued2019
dc.identifier.issn0888-3270
dc.identifier.urihttps://dx.doi.org/10.1016/j.ymssp.2018.11.026
dc.identifier.urihttps://hdl.handle.net/11421/20260
dc.descriptionWOS: 000458228700016en_US
dc.description.abstractIn this paper, a regularized nuclear norm minimization-based subspace identification algorithm is proposed to estimate discrete-time power spectra of multi-input/multi-out systems in innovation models from output-only time-domain measurements. Parametrization and implementation issues are carefully addressed. The new identification algorithm and three popular subspace algorithms are tested on a numerical example and three real-life applications drawn from automotive engineering, acoustics, and renewable energyen_US
dc.language.isoengen_US
dc.publisherAcademic Press LTD- Elsevier Science LTDen_US
dc.relation.isversionof10.1016/j.ymssp.2018.11.026en_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectSystem Identificationen_US
dc.subjectPower Spectrumen_US
dc.subjectSubspace Methoden_US
dc.subjectNuclear Normen_US
dc.subjectRegularizationen_US
dc.subjectInnovation Modelen_US
dc.titlePower spectrum estimation in innovation modelsen_US
dc.typearticleen_US
dc.relation.journalMechanical Systems and Signal Processingen_US
dc.contributor.departmentAnadolu Üniversitesi, Mühendislik Fakültesi, Elektrik ve Elektronik Mühendisliği Bölümüen_US
dc.identifier.volume121en_US
dc.identifier.startpage227en_US
dc.identifier.endpage245en_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.contributor.institutionauthorAkçay, Hüseyin
dc.contributor.institutionauthorTürkay, Semiha


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