Please use this identifier to cite or link to this item: https://hdl.handle.net/11147/10100
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dc.contributor.authorAltınkaya, Mustafa Aziz-
dc.date.accessioned2021-01-24T18:32:19Z-
dc.date.available2021-01-24T18:32:19Z-
dc.date.issued2004-
dc.identifier.isbn0-7803-8318-4-
dc.identifier.urihttps://doi.org/10.1109/SIU.2004.1338323-
dc.identifier.urihttps://hdl.handle.net/11147/10100-
dc.descriptionIEEE 12th Signal Processing and Communications Applications Conferenceen_US
dc.description.abstractAlthough the maximum likelihood method gives the optimum solutions for the parameter estimation problem of the sinusoids embedded in noise, it is computationally difficult since it generally requires to solve nonlinear optimization problems. So some model-based parameter estimators with high frequency resolution property are preferred quite often. In order to find these estimates the first step is usually forming the autocorrelation (AC) matrix. In this work the effects of the method utilized in the generation of the AC matrix on the performances of sinusoidal parameter estimators are investigated. One way of forming the AC matrix is to use a Toeplitz structure with either the biased or the unbiased AC lag estimates as the matrix elements. Another way is to use the socalled "covariance method" in the AC matrix generation. In this method the matrix formed is no longer Toeplitz; but it is still symmetric. We can think of that the Toeplitz AC matrix is a perturbed version of the non-Toeplitz AC matrix. The differences in the performances of the MUSIC spectral estimator with Toeplitz; and non-Toeplitz AC matrix usage is related to the perturbation in the AC matrix estimate. For this purpose the 3 x 3 AC matrix is is utilized in the estimation of the frequency of a single sinusoid using the MUSIC frequency estimator. The accuracy of the perturbation analysis is checked with the simulation results. Additionally, the fact that the performance of an estimator with data windowing and Toeplitz AC matrix generation becomes near to the performance of the same estimator with non-Toeplitz AC matrix is shown with simulation studies.en_US
dc.description.sponsorshipIEEE, Tubitak, Istanbul Teknik Univ, Aselsan, Profile Telre, TURCom, Sgi, Datacore, Diviten_US
dc.language.isotren_US
dc.publisherInstitute of Electrical and Electronics Engineers Inc.en_US
dc.relation.ispartofIEEE 12th Signal Processing and Communications Applications Conferenceen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.titleÖzilinti matrisinin oluşturulma yönteminin modele dayalı sinüzoidal parametre kestirimindeki etkilerien_US
dc.title.alternativeEffects of the autocorrelation matrix generation method on the model-based sinusoidal parameter estimators-
dc.typeConference Objecten_US
dc.institutionauthorAltınkaya, Mustafa Aziz-
dc.departmentİzmir Institute of Technology. Electrical and Electronics Engineeringen_US
dc.identifier.startpage316en_US
dc.identifier.endpage319en_US
dc.identifier.wosWOS:000225861200081en_US
dc.identifier.scopus2-s2.0-18844384450en_US
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.identifier.doi10.1109/SIU.2004.1338323-
dc.relation.doi10.1109/SIU.2004.1338323en_US
dc.coverage.doi10.1109/SIU.2004.1338323en_US
item.openairetypeConference Object-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
item.grantfulltextopen-
item.fulltextWith Fulltext-
item.languageiso639-1tr-
item.cerifentitytypePublications-
crisitem.author.dept03.05. Department of Electrical and Electronics Engineering-
Appears in Collections:Electrical - Electronic Engineering / Elektrik - Elektronik Mühendisliği
Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection
WoS İndeksli Yayınlar Koleksiyonu / WoS Indexed Publications Collection
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