Classification of mental tasks using de-noised EEG signals
The wsvelet based de-noising can bc eiiiployed ivi[li ihc combii.~ation of different kind of threshold parameters. tlwesliold operators. mother wavelets and timsliold rescaling methods. The central issue i.n wavelet bassd de-noising method is the selection of an appropriate ilircshold paraiiwters. I...
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| தலைமை எழà¯à®¤à¯à®¤à®¾à®³à®°à¯à®•à®³à¯: | , |
|---|---|
| வடிவமà¯: | Conference or Workshop Item |
| மொழி: | English |
| வெளியீடபà¯à®ªà®Ÿà¯à®Ÿà®¤à¯: |
2004
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| பகà¯à®¤à®¿à®•à®³à¯: | |
| நிகழà¯à®¨à®¿à®²à¯ˆ அணà¯à®•à®²à¯: | http://eprints.utm.my/2124/ http://eprints.utm.my/2124/ http://eprints.utm.my/2124/1/Daud2004_ClassificationOfMentalTasksUsing.pdf |
| கà¯à®±à®¿à®¯à¯€à®Ÿà¯à®•à®³à¯: |
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