| Type of Material: | Thesis |
| Title: | Optimal feature subset selection for pattern classification and recognition of multichannel eeg data using spectral entropy as a complexity measure applications to alcoholic and sleep eeg data |
| Researcher: | Padma, T K |
| Guide: | Sriraam, N |
| Publisher: | Sri Chandrasekharendra Saraswathi Viswa Mahavidyalaya |
| Place: | Kanchipuram |
| Language: | English |
| Dissertation/Thesis Note: | PhD |
| Fulltext: | Shodhganga |
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| 001 | 415917 | |
| 003 | IN-AhILN | |
| 005 | 2018-08-14 11:55:40 | |
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| 035 | __ | |a(IN-AhILN)th_415917 |
| 040 | __ | |aCSMK_631561|dIN-AhILN |
| 041 | __ | |aeng |
| 100 | __ | |aPadma, T K|eResearcher |
| 245 | __ | |aOptimal feature subset selection for pattern classification and recognition of multichannel eeg data using spectral entropy as a complexity measure applications to alcoholic and sleep eeg data |
| 260 | __ | |aKanchipuram|bSri Chandrasekharendra Saraswathi Viswa Mahavidyalaya |
| 502 | __ | |bPhD |
| 700 | __ | |aSriraam, N|eGuide |
| 856 | __ | |uhttp://shodhganga.inflibnet.ac.in/handle/10603/183985|yShodhganga |
| 905 | __ | |anotification |
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