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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| Pengarang-pengarang Utama: | , |
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| Format: | Conference or Workshop Item |
| Bahasa: | English |
| Diterbitkan: |
2004
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| Subjek-subjek: | |
| Capaian Atas Talian: | http://eprints.utm.my/2124/ http://eprints.utm.my/2124/ http://eprints.utm.my/2124/1/Daud2004_ClassificationOfMentalTasksUsing.pdf |
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