dc.contributor.author | Akçay, Hüseyin | |
dc.contributor.author | Türkay, Semiha | |
dc.date.accessioned | 2019-10-21T20:11:34Z | |
dc.date.available | 2019-10-21T20:11:34Z | |
dc.date.issued | 2019 | |
dc.identifier.issn | 0888-3270 | |
dc.identifier.uri | https://dx.doi.org/10.1016/j.ymssp.2018.11.026 | |
dc.identifier.uri | https://hdl.handle.net/11421/20260 | |
dc.description | WOS: 000458228700016 | en_US |
dc.description.abstract | In 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 energy | en_US |
dc.language.iso | eng | en_US |
dc.publisher | Academic Press LTD- Elsevier Science LTD | en_US |
dc.relation.isversionof | 10.1016/j.ymssp.2018.11.026 | en_US |
dc.rights | info:eu-repo/semantics/closedAccess | en_US |
dc.subject | System Identification | en_US |
dc.subject | Power Spectrum | en_US |
dc.subject | Subspace Method | en_US |
dc.subject | Nuclear Norm | en_US |
dc.subject | Regularization | en_US |
dc.subject | Innovation Model | en_US |
dc.title | Power spectrum estimation in innovation models | en_US |
dc.type | article | en_US |
dc.relation.journal | Mechanical Systems and Signal Processing | en_US |
dc.contributor.department | Anadolu Üniversitesi, Mühendislik Fakültesi, Elektrik ve Elektronik Mühendisliği Bölümü | en_US |
dc.identifier.volume | 121 | en_US |
dc.identifier.startpage | 227 | en_US |
dc.identifier.endpage | 245 | en_US |
dc.relation.publicationcategory | Makale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı | en_US |
dc.contributor.institutionauthor | Akçay, Hüseyin | |
dc.contributor.institutionauthor | Türkay, Semiha | |