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 hal.structure.identifier
BAY AHMED, Hadj Ahmed
13094 Institut de Recherche de l'Ecole Navale (EA 3634) [IRENAV]
dc.contributor.author
 hal.structure.identifier
KOMATY, Ali
13094 Institut de Recherche de l'Ecole Navale (EA 3634) [IRENAV]
dc.contributor.author
 hal.structure.identifier
DARE, Delphine
13094 Institut de Recherche de l'Ecole Navale (EA 3634) [IRENAV]
dc.contributor.author
 hal.structure.identifier
BOUDRAA, Abdel-Ouahab
13094 Institut de Recherche de l'Ecole Navale (EA 3634) [IRENAV]
dc.date.accessioned2015
dc.date.available2015
dc.date.issued2015
dc.date.submitted2015
dc.identifier.urihttp://hdl.handle.net/10985/10293
dc.description.abstractIn this work a new denoising scheme based on the empirical mode decomposition associated with a frequency analysis is introduced. Compared to classical approaches where the extracted modes are thresholded in time domain, in the proposed strategy the thresholding is done in the frequency domain. Each mode is divided into blocks of equal length where the frequency content of each one is analyzed. Relevant modes are identified using an energy and a frequency thresholds obtained by training. The denoised signal is obtained by the superposition of the thresholded modes. The effectiveness of the proposed scheme is illustrated on synthetic and real signals and the results compared to those of methods reported recently.
dc.language.isoen
dc.rightsPost-print
dc.subjectEmpirical Mode Decomposition
dc.subjectIntrinsic Mode Function
dc.subjectDenoising
dc.titleOn signal denoising by EMD in the frequency domain
dc.typdocCommunications avec actes
dc.localisationCentre de Paris
dc.subject.halSciences de l'ingénieur: Traitement du signal et de l'image
ensam.audienceInternationale
ensam.conference.title23rd European Signal Processing Conference (EUSIPCO)
ensam.conference.date2015-08
ensam.countryFrance
ensam.title.proceedingEUSIPCO
ensam.page1-5
ensam.cityNice
hal.identifierhal-01208020
hal.version1
hal.submission.permittedupdateMetadata


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