| dc.contributor.author | Akçay, Hüseyin | |
| dc.date.accessioned | 2019-10-21T20:41:06Z | |
| dc.date.available | 2019-10-21T20:41:06Z | |
| dc.date.issued | 2009 | |
| dc.identifier.isbn | 9781424427109 | |
| dc.identifier.uri | https://dx.doi.org/10.1109/SSP.2009.5278460 | |
| dc.identifier.uri | https://hdl.handle.net/11421/20657 | |
| dc.description | 2009 IEEE/SP 15th Workshop on Statistical Signal Processing, SSP '09 -- 31 August 2009 through 3 September 2009 -- Cardiff -- 78481 | en_US |
| dc.description.abstract | In this paper, a subspace-based identification algorithm to identify stable linear-time-invariant systems from corrupted phase samples of the frequency response function on nonuniformly spaced grid of frequencies are developed. The algorithm is strongly consistent if the corruptions are zero-mean random variables with a known covariance function. Furthermore, it exactly retrieves finite-dimensional systems from noise-free phase data using a finite amount of data | en_US |
| dc.language.iso | eng | en_US |
| dc.relation.isversionof | 10.1109/SSP.2009.5278460 | en_US |
| dc.rights | info:eu-repo/semantics/closedAccess | en_US |
| dc.subject | Hilbert Transform | en_US |
| dc.subject | Phase Data | en_US |
| dc.subject | Rational Interpolation | en_US |
| dc.subject | Strong Consistency | en_US |
| dc.subject | Subspace-Based Identification | en_US |
| dc.title | Subspace-based rational interpolation from phase data | en_US |
| dc.type | conferenceObject | en_US |
| dc.relation.journal | IEEE Workshop on Statistical Signal Processing Proceedings | en_US |
| dc.contributor.department | Anadolu Üniversitesi, Mühendislik Fakültesi, Elektrik ve Elektronik Mühendisliği Bölümü | en_US |
| dc.identifier.startpage | 737 | en_US |
| dc.identifier.endpage | 740 | en_US |
| dc.relation.publicationcategory | Konferans Öğesi - Uluslararası - Kurum Öğretim Elemanı | en_US] |
| dc.contributor.institutionauthor | Akçay, Hüseyin | |
