Using a variation of empirical mode decomposition to remove noise from signals

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buir.contributor.authorÇetin, A. Enis
buir.contributor.orcidÇetin, A. Enis|0000-0002-3449-1958
dc.citation.epage126en_US
dc.citation.spage123en_US
dc.contributor.authorKaleem, M. F.en_US
dc.contributor.authorGuergachi, A.en_US
dc.contributor.authorKrishnan, S.en_US
dc.contributor.authorÇetin, A. Enisen_US
dc.coverage.spatialToronto, ON, Canada
dc.date.accessioned2016-02-08T12:17:57Z
dc.date.available2016-02-08T12:17:57Z
dc.date.issued2011-06en_US
dc.departmentDepartment of Electrical and Electronics Engineeringen_US
dc.descriptionDate of Conference: 12-16 June 2011
dc.descriptionConference name: 21st International Conference on Noise and Fluctuations, ICNF 2011
dc.description.abstractThis paper will describe the application of -based decomposition, which is a variation of the empirical mode decomposition method based on modified peak selection, to de-noising and de-trending of signals. The -based decomposition method will be explained, and its application to synthetic and real-world signals in the context of de-noising and de-trending will be described. Comparison between the computational simplicity of the τ-based decomposition method to de-noising and de-trending of signals and approaches based on empirical mode decomposition will be highlighted. © 2011 IEEE.en_US
dc.description.provenanceMade available in DSpace on 2016-02-08T12:17:57Z (GMT). No. of bitstreams: 1 bilkent-research-paper.pdf: 70227 bytes, checksum: 26e812c6f5156f83f0e77b261a471b5a (MD5) Previous issue date: 2011en
dc.identifier.doi10.1109/ICNF.2011.5994279en_US
dc.identifier.urihttp://hdl.handle.net/11693/28345
dc.language.isoEnglishen_US
dc.publisherIEEE
dc.relation.isversionofhttps://doi.org/10.1109/ICNF.2011.5994279en_US
dc.source.titleProceedings of the IEEE 21st International Conference on Noise and Fluctuations, ICNF 2011en_US
dc.subjectDe-noisingen_US
dc.subjectDe-trendingen_US
dc.subjectEmpirical mode decompositionen_US
dc.subjectDe-noisingen_US
dc.subjectDecomposition methodsen_US
dc.subjectEmpirical mode decompositionen_US
dc.subjectEmpirical mode decomposition methoden_US
dc.subjectREmove noiseen_US
dc.titleUsing a variation of empirical mode decomposition to remove noise from signalsen_US
dc.typeConference Paperen_US

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