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Please use this identifier to cite or link to this item: https://dspace.iiti.ac.in/handle/123456789/952
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dc.contributor.authorTripathi, Abhinaven_US
dc.contributor.authorJoshi, Dhaivaten_US
dc.contributor.authorPachori, Ram Bilas [Guide]en_US
dc.date.accessioned2018-01-17T06:28:44Z-
dc.date.available2018-01-17T06:28:44Z-
dc.date.issued2016-12-05-
dc.identifier.urihttps://dspace.iiti.ac.in/handle/123456789/952-
dc.language.isoenen_US
dc.publisherDiscipline of Electrical Engineering, IIT Indoreen_US
dc.relation.ispartofseriesBTP257;EE 2016 TRI-
dc.subjectElectrical Engineeringen_US
dc.titleAutomated classification of abnormal EMG signals using tunable-Q wavelet transformen_US
dc.typeB.Tech Projecten_US
Appears in Collections:Department of Electrical Engineering_BTP

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