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Please use this identifier to cite or link to this item: http://dspace.dtu.ac.in:8080/jspui/handle/repository/14949
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dc.contributor.authorKUMAR, AKHILESH-
dc.date.accessioned2016-07-21T11:34:16Z-
dc.date.available2016-07-21T11:34:16Z-
dc.date.issued2016-07-
dc.identifier.urihttp://dspace.dtu.ac.in:8080/jspui/handle/repository/14949-
dc.description.abstractThis project has been inspired by the need to find an efficient method for ECG Signal denoising using different combinations of wavelets and thresholding techniques. In this thesis , the ECG signal was decomposed in three level and reconstructed using different wavelet like Haar,Daubenchies,Symlet,Coiflets, BiorSpline, Reversebior, Demyer etc. and thresholding techniques. After that Notch Filter was applied for removing 50 Hz Power Line Noises. All the de- Noised ECG was calculated in terms of SNR, MSE and Cross correlations and summarized and compared the results.en_US
dc.language.isoen_USen_US
dc.relation.ispartofseriesTD NO.1622;-
dc.subjectNOISE REMOVALen_US
dc.subjectWAVELETen_US
dc.subjectNOTCH FILTERen_US
dc.subjectSNRen_US
dc.titleNOISE REMOVAL IN ECGen_US
dc.typeThesisen_US
Appears in Collections:M.E./M.Tech. Electronics & Communication Engineering

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