dc.contributor.author | Akçay, Hüseyin | |
dc.contributor.author | Türkay, Semiha | |
dc.date.accessioned | 2019-10-21T20:41:24Z | |
dc.date.available | 2019-10-21T20:41:24Z | |
dc.date.issued | 2018 | |
dc.identifier.isbn | 9781538660898 | |
dc.identifier.issn | 1948-3449 | |
dc.identifier.uri | https://dx.doi.org/10.1109/ICCA.2018.8444313 | |
dc.identifier.uri | https://hdl.handle.net/11421/20775 | |
dc.description | 14th IEEE International Conference on Control and Automation, ICCA 2018 -- 12 June 2018 through 15 June 2018 -- -- 138930 | en_US |
dc.description.abstract | In 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 data | en_US |
dc.language.iso | eng | en_US |
dc.publisher | IEEE Computer Society | en_US |
dc.relation.isversionof | 10.1109/ICCA.2018.8444313 | en_US |
dc.rights | info:eu-repo/semantics/closedAccess | en_US |
dc.subject | Innovation Model | en_US |
dc.subject | Missing Data | en_US |
dc.subject | Power Spectrum | en_US |
dc.subject | Regularization | en_US |
dc.subject | Subspace Method | en_US |
dc.subject | System Identification | en_US |
dc.title | Power Spectrum Estimation in Innovation Models by Nuclear Norm Optimization | en_US |
dc.type | conferenceObject | en_US |
dc.relation.journal | IEEE International Conference on Control and Automation, ICCA | en_US |
dc.contributor.department | Anadolu Üniversitesi, Mühendislik Fakültesi, Elektrik ve Elektronik Mühendisliği Bölümü | en_US |
dc.identifier.volume | 2018-June | en_US |
dc.identifier.startpage | 662 | en_US |
dc.identifier.endpage | 667 | en_US |
dc.relation.publicationcategory | Konferans Öğesi - Uluslararası - Kurum Öğretim Elemanı | en_US] |
dc.contributor.institutionauthor | Akçay, Hüseyin | |
dc.contributor.institutionauthor | Türkay, Semiha | |