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dc.contributor.authorAkçay, Hüseyin
dc.contributor.authorTürkay, Semiha
dc.date.accessioned2019-10-21T20:11:33Z
dc.date.available2019-10-21T20:11:33Z
dc.date.issued2013
dc.identifier.isbn978-3-033-03962-9
dc.identifier.urihttps://hdl.handle.net/11421/20256
dc.descriptionEuropean Control Conference (ECC) -- JUL 17-19, 2013 -- ETH Zurich, Zurich, SWITZERLANDen_US
dc.descriptionWOS: 000332509702132en_US
dc.description.abstractIn this paper, the properties of two recently proposed frequency-domain subspace-based algorithms to estimate discrete-time cross-power spectral density (cross-PSD) and auto-power spectral density (auto-PSD) matrices of vector auto-regressive moving-average and moving-average (ARMAMA) models from sampled values of the Welch cross-PSD and auto-PSD estimators on uniform grids of frequencies, are illustrated by numerical and real-life application examples. The latter is concerned with the modeling of acoustic spectra for detecting faults in induction motors.en_US
dc.description.sponsorshipEuropean Control Assoc, IFAC, IEEE, CSSen_US
dc.language.isoengen_US
dc.publisherIEEEen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectPower Spectrumen_US
dc.subjectSubspace Identificationen_US
dc.subjectWelch Estimatoren_US
dc.subjectDynamic Factor Modelen_US
dc.subjectAcoustic Spectraen_US
dc.titleA spectral estimation case study in frequency-domain by subspace methodsen_US
dc.typeconferenceObjecten_US
dc.relation.journal2013 European Control Conference (Ecc)en_US
dc.contributor.departmentAnadolu Üniversitesi, Mühendislik Fakültesi, Elektrik ve Elektronik Mühendisliği Bölümüen_US
dc.identifier.startpage2404en_US
dc.identifier.endpage2409en_US
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.contributor.institutionauthorAkçay, Hüseyin
dc.contributor.institutionauthorTürkay, Semiha


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