Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.14365/3634
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dc.contributor.authorDeğirmenci, Duygu-
dc.contributor.authorYalçın, Melike-
dc.contributor.authorÖzdemir, Mehmet Akif-
dc.contributor.authorAkan A.-
dc.date.accessioned2023-06-16T15:01:50Z-
dc.date.available2023-06-16T15:01:50Z-
dc.date.issued2020-
dc.identifier.isbn9.78E+12-
dc.identifier.urihttps://doi.org/10.1109/TIPTEKNO50054.2020.9299225-
dc.identifier.urihttps://hdl.handle.net/20.500.14365/3634-
dc.description2020 Medical Technologies Congress, TIPTEKNO 2020 -- 19 November 2020 through 20 November 2020 -- 166140en_US
dc.description.abstractTime-frequency representation (TFR) provides a good analysis for periodic signals; however, they are insufficient for nonstationary signals. The synchrosqueezing transform (SST) provides a strong analysis of nonstationary signals. The signal has different synchrosqueezing transformations that are implemented using different TFR. This paper provides a review of the different SST methods implemented using different TFR available in the literature, a comparison of these, and their use with different techniques in biomedical signal processing applications. Adding different techniques to the applied SST method affects the signal processing and classification ability of the selected SST method. © 2020 IEEE.en_US
dc.description.sponsorship1919B011903550, 1919B011903566; Türkiye Bilimsel ve Teknolojik Araştirma Kurumu, TÜBITAKen_US
dc.description.sponsorshipACKNOWLEDGMENT This work was supported by the Scientific and Technical Research Council of Turkey (TUBITAK) under Grant Numbers 1919B011903566 and 1919B011903550.en_US
dc.language.isoenen_US
dc.publisherInstitute of Electrical and Electronics Engineers Inc.en_US
dc.relation.ispartofTIPTEKNO 2020 - Tip Teknolojileri Kongresi - 2020 Medical Technologies Congress, TIPTEKNO 2020en_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectBiomedical Applicationsen_US
dc.subjectSignal Processingen_US
dc.subjectSynchrosqueezingen_US
dc.subjectTime-Frequencyen_US
dc.subjectBiomedical engineeringen_US
dc.subjectBiomedical signal processingen_US
dc.subjectMedical applicationsen_US
dc.subjectBiomedical applicationsen_US
dc.subjectBiomedical signalen_US
dc.subjectClassification abilityen_US
dc.subjectNonstationary signalsen_US
dc.subjectPeriodic signalen_US
dc.subjectSynchrosqueezingen_US
dc.subjectTime-frequency representationsen_US
dc.subjectSignal analysisen_US
dc.titleSynchrosqueezing Transform in Biomedical Applications: a Mini Reviewen_US
dc.typeConference Objecten_US
dc.identifier.doi10.1109/TIPTEKNO50054.2020.9299225-
dc.identifier.scopus2-s2.0-85099473927-
dc.authorscopusid57514196800-
dc.authorscopusid57206479576-
dc.authorscopusid35617283100-
dc.identifier.wosWOS:000659419900013-
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.identifier.scopusqualityN/A-
dc.identifier.wosqualityN/A-
item.openairetypeConference Object-
item.grantfulltextreserved-
item.languageiso639-1en-
item.cerifentitytypePublications-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
item.fulltextWith Fulltext-
crisitem.author.dept05.06. Electrical and Electronics Engineering-
Appears in Collections:Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection
WoS İndeksli Yayınlar Koleksiyonu / WoS Indexed Publications Collection
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