Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/484538
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dc.coverage.spatialElectronics and Electrical Engineering
dc.date.accessioned2023-05-22T09:51:43Z-
dc.date.available2023-05-22T09:51:43Z-
dc.identifier.urihttp://hdl.handle.net/10603/484538-
dc.description.abstractThis thesis documents our investigations on processing of multichannel electrocardiogram signals using multiscale principal component analysis MSPCA There are three broad contributions First wavelet based denoising methods are proposed and evaluated for noise cancellation The proposed denoising methods are based on relative subband energy of the signal and its Gaussianity from real data Higher order statistics at different wavelet subbands provides significant information about the statis
dc.format.extentNot Available
dc.languageEnglish
dc.relationNot Available
dc.rightsself
dc.titleMultiscale processing of multichannel elctrocardiogram signals
dc.title.alternativeNot available
dc.creator.researcherSharma, L.N.
dc.subject.keywordEngineering
dc.subject.keywordEngineering and Technology
dc.subject.keywordEngineering Electrical and Electronic
dc.description.noteNot Available
dc.contributor.guideDandapat, Samarendra
dc.publisher.placeGuwahati
dc.publisher.universityIndian Institute of Technology Guwahati
dc.publisher.institutionDEPARTMENT OF ELECTRONICS AND ELECTRICAL ENGINEERING
dc.date.registered2006
dc.date.completed2012
dc.date.awarded2012
dc.format.dimensionsNot Available
dc.format.accompanyingmaterialNone
dc.source.universityUniversity
dc.type.degreePh.D.
Appears in Departments:DEPARTMENT OF ELECTRONICS AND ELECTRICAL ENGINEERING

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