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dc.contributor.advisorArıkan, Orhan
dc.contributor.authorÖzdemir, Ahmet Kemal
dc.date.accessioned2016-07-01T10:59:38Z
dc.date.available2016-07-01T10:59:38Z
dc.date.issued2003
dc.identifier.urihttp://hdl.handle.net/11693/29433
dc.descriptionCataloged from PDF version of article.en_US
dc.description.abstractIn this thesis, a new algorithm, time–frequency component analyzer (TFCA), is proposed to analyze composite signals, whose components have compact time–frequency supports. Examples of this type of signals include biological, acoustic, seismic, speech, radar and sonar signals. By conducting its time–frequency analysis in an adaptively chosen warped fractional domain the method provides time–frequency distributions which are as sharp as the Wigner distribution, while suppressing the undesirable interference terms present in the Wigner distribution. Being almost fully automated, TFCA does not require any a priori information on the analyzed signal. By making use of recently developed fast Wigner slice computation algorithm, directionally smoothed Wigner distribution algorithm and fractional domain incision algorithm in the warped fractional domain, the method provides an overall time-frequency representation of the composite signals. It also provides time–frequency representations corresponding to the individual signal components constituting the composite signal. Since, TFCA based analysis enables the extraction of the identified components from the composite signals, it allows detailed post processing of the extracted signal components and their corresponding time–frequency distributions, as well.en_US
dc.description.statementofresponsibilityÖzdemir, Ahmet Kemalen_US
dc.format.extentxxi, 119 leaves, illustrations, tables, 30 cmen_US
dc.language.isoEnglishen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjecttime–frequency distributionsen_US
dc.subjectambiguity functionen_US
dc.subjectWigner distributionen_US
dc.subjectfractional Fourier transformationen_US
dc.subjectfractional domain warpingen_US
dc.subjectcomponent analysisen_US
dc.subjecttime–frequency analysisen_US
dc.subject.lccTK5102.9 .O93 2003en_US
dc.subject.lcshSignal processing.en_US
dc.titleTime-frequency component analyzeren_US
dc.typeThesisen_US
dc.departmentDepartment of Electrical and Electronics Engineeringen_US
dc.publisherBilkent Universityen_US
dc.description.degreePh.D.en_US
dc.identifier.itemidBILKUTUPB072266


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