Please use this identifier to cite or link to this item:
https://dspace.iiti.ac.in/handle/123456789/457
Full metadata record
DC Field | Value | Language |
---|---|---|
dc.contributor.advisor | Pachori, Ram Bilas | - |
dc.contributor.author | Bajaj, Varun | - |
dc.date.accessioned | 2017-05-26T10:58:56Z | - |
dc.date.available | 2017-05-26T10:58:56Z | - |
dc.date.issued | 2014-02-10 | - |
dc.identifier.uri | https://dspace.iiti.ac.in/handle/123456789/457 | - |
dc.language.iso | en | en_US |
dc.publisher | Department of Electrical Engineering, IIT Indore | en_US |
dc.relation.ispartofseries | TH002 | - |
dc.subject | Electrical Engineering | en_US |
dc.title | Analysis and classification of EEG signals using novel features based on non-stationary signal decompositions | en_US |
dc.type | Thesis_Ph.D | en_US |
Appears in Collections: | Department of Electrical Engineering_ETD |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
TH_02_Abstract_Varun Bajaj.pdf | 2.11 MB | Adobe PDF | ![]() View/Open |
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