Piecewise smooth signal denoising via principal curve projections

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buir.contributor.authorArıkan, Orhan
buir.contributor.orcidArıkan, Orhan|0000-0002-3698-8888
dc.citation.epage431en_US
dc.citation.spage426en_US
dc.contributor.authorÖzertem, Umuten_US
dc.contributor.authorErdoğmuş, D.en_US
dc.contributor.authorArıkan, Orhanen_US
dc.coverage.spatialCancun, Mexico
dc.date.accessioned2016-02-08T11:36:27Z
dc.date.available2016-02-08T11:36:27Z
dc.date.issued2008-10en_US
dc.departmentDepartment of Electrical and Electronics Engineeringen_US
dc.descriptionDate of Conference: 16-19 Oct. 2008
dc.descriptionConference name: 2008 IEEE Workshop on Machine Learning for Signal Processing
dc.description.abstractOne common problem in signal denoising is that if the signal has a blocky, in other words a piecewise-smooth structure, the denoised signal may suffer from oversmoothed discontinuities or exhibit artifacts very similar to Gibbs phenomenon. In the literature, total variation methods and some modifications on the signal reconstructions based on wavelet coefficients are proposed to overcome these problems. We take a novel approach by introducing principal curve projections as an artifact-free signal denoising filter alternative. The proposed approach leads to a nonparametric denoising algorithm that does not lead to Gibbs effect or so-called staircase type unnatural artifacts in the denoised signal. ©2008 IEEE.en_US
dc.description.provenanceMade available in DSpace on 2016-02-08T11:36:27Z (GMT). No. of bitstreams: 1 bilkent-research-paper.pdf: 70227 bytes, checksum: 26e812c6f5156f83f0e77b261a471b5a (MD5) Previous issue date: 2008en
dc.identifier.doi10.1109/MLSP.2008.4685518en_US
dc.identifier.urihttp://hdl.handle.net/11693/26810
dc.language.isoEnglishen_US
dc.publisherIEEE
dc.relation.isversionofhttp://dx.doi.org/10.1109/MLSP.2008.4685518en_US
dc.source.titleProceedings of the 2008 IEEE Workshop on Machine Learning for Signal Processing, MLSP 2008en_US
dc.subjectLearning systemsen_US
dc.subjectRobot learningen_US
dc.subjectTechnical presentationsen_US
dc.subjectCommon problemsen_US
dc.subjectDenoised signalsen_US
dc.subjectDenoising algorithmsen_US
dc.subjectGibbs phenomenonsen_US
dc.subjectNonparametricen_US
dc.subjectPiece wisesen_US
dc.subjectPiecewise smoothesen_US
dc.subjectPrincipal curvesen_US
dc.subjectSignal denoisingen_US
dc.subjectTotal variationsen_US
dc.subjectWavelet coefficientsen_US
dc.subjectSignal processingen_US
dc.titlePiecewise smooth signal denoising via principal curve projectionsen_US
dc.typeConference Paperen_US

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