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dc.contributor.authorÖztürk, Onuren_US
dc.contributor.authorArıkan, Orhanen_US
dc.contributor.authorÇetin, A. Enisen_US
dc.coverage.spatialMugla, Turkeyen_US
dc.date.accessioned2016-02-08T12:13:31Z
dc.date.available2016-02-08T12:13:31Z
dc.date.issued2012en_US
dc.identifier.urihttp://hdl.handle.net/11693/28183
dc.descriptionDate of Conference: 18-20 April 2012en_US
dc.description.abstractEmpirical Mode Decomposition (EMD) is an adaptive signal analysis technique which derives its basis functions from the signal itself. EMD is realized through successive iterations of a sifting process requiring local mean computation. For that purpose, local minima and maxima of the signal are assumed to constitute proper local time scales. EMD lacks accuracy, however, experiencing the so-called mode mixing phenomenon in the presence of noise which creates artificial extrema. In this paper, we propose adaptively filtering the signal in Discrete Cosine Transform domain before each local mean computation step to prevent mode mixing. Denoising filter thresholds are optimized for a product form criterion which is a function of the preserved energy and the eliminated number of extrema of the signal after filtering. Results obtained from synthetic signals reveal the potential of the proposed technique. © 2012 IEEE.en_US
dc.language.isoTurkishen_US
dc.source.title2012 20th Signal Processing and Communications Applications Conference (SIU)en_US
dc.relation.isversionofhttp://dx.doi.org/10.1109/SIU.2012.6204454en_US
dc.subjectAdaptive signalsen_US
dc.subjectAnalysis techniquesen_US
dc.subjectBasis functionsen_US
dc.subjectComputation stepsen_US
dc.subjectDe-noisingen_US
dc.subjectEmpirical Mode Decompositionen_US
dc.subjectLocal meanen_US
dc.subjectLocal minimumsen_US
dc.subjectLocal timeen_US
dc.subjectLow-pass filteringen_US
dc.subjectProduct formsen_US
dc.subjectSuccessive iterationen_US
dc.subjectSynthetic signalsen_US
dc.subjectDiscrete cosine transformsen_US
dc.subjectMixingen_US
dc.subjectSignal processingen_US
dc.titleEmpirical mode decomposition aided by adaptive low pass filteringen_US
dc.title.alternativeUyarlanir alçak geçiren süzme yardimli ampirik mod ayirmaen_US
dc.typeConference Paperen_US
dc.departmentDepartment of Electrical and Electronics Engineering
dc.identifier.doi10.1109/SIU.2012.6204454en_US
dc.publisherIEEEen_US


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