Publication:
Haar-MUSİC: A new hybrid method for frequency estimation

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dc.contributor.authorYalçın, Nedim Aktan
dc.contributor.authorVatansever, Fahri
dc.contributor.buuauthorYALÇIN, NEDİM AKTAN
dc.contributor.buuauthorVATANSEVER, FAHRİ
dc.contributor.departmentMühendislik Fakültesi
dc.contributor.departmentElektrik Elektronik Mühendisliği Bölümü
dc.contributor.orcid0000-0002-0049-7841
dc.contributor.orcid0000-0002-3885-8622
dc.contributor.researcheridAAH-1474-2021
dc.contributor.researcheridAAG-8425-2021
dc.date.accessioned2024-10-08T06:54:33Z
dc.date.available2024-10-08T06:54:33Z
dc.date.issued2022-11-30
dc.description.abstractParameter estimation is very important in signal analysis. In this study, a new hybrid method based on implementation of Multiple Signal Classification (MUSIC) method with Discrete Haar transform (DHT) coefficients for frequency estimation of signals is proposed. This method decreases the input data size and sampling frequency and limits noise subspace correlation matrix according to Nyquist criteria. The realized simulations and real test data show that the proposed method converges to signals' frequencies faster than the classical MUSIC algorithm and gives accurate results even under high noise.
dc.identifier.doi10.1007/s00034-022-02245-7
dc.identifier.eissn1531-5878
dc.identifier.endpage2940
dc.identifier.issn0278-081X
dc.identifier.issue5
dc.identifier.startpage2916
dc.identifier.urihttps://doi.org/10.1007/s00034-022-02245-7
dc.identifier.urihttps://link.springer.com/article/10.1007/s00034-022-02245-7
dc.identifier.urihttps://hdl.handle.net/11452/46041
dc.identifier.volume42
dc.identifier.wos000914789400003
dc.indexed.wosWOS.SCI
dc.language.isoen
dc.publisherSpringer
dc.relation.journalCircuits Systems and Signal Processing
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.subjectPower-system
dc.subjectClassification
dc.subjectDecomposition
dc.subjectAlgorithm
dc.subjectSignals
dc.subjectHaar transform
dc.subjectMusic algorithm
dc.subjectFrequency estimation
dc.subjectScience & technology
dc.subjectTechnology
dc.subjectEngineering, electrical & electronic
dc.subjectEngineering
dc.titleHaar-MUSİC: A new hybrid method for frequency estimation
dc.typeArticle
dspace.entity.typePublication
local.contributor.departmentMühendislik Fakültesi/Elektrik Elektronik Mühendisliği Bölümü
relation.isAuthorOfPublicationb38f6109-ab01-4075-9074-e9cd3476a792
relation.isAuthorOfPublication32f35813-c6bd-451c-91eb-73aec5e99b0b
relation.isAuthorOfPublication.latestForDiscoveryb38f6109-ab01-4075-9074-e9cd3476a792

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