## Abstract In this paper, a novel method to compress electroencephalogram (EEG) signal is proposed. The proposed method is based on the generation process of the classified signature and envelope vector sets (CSEVS), which employs an effective __k__‐means clustering algorithm. It is assumed that b
✦ LIBER ✦
Neuro-wavelet classifiers for EEG signals based on rough set methods
✍ Scribed by Marcin Szczuka; Piotr Wojdyłło
- Book ID
- 114295744
- Publisher
- Elsevier Science
- Year
- 2001
- Tongue
- English
- Weight
- 354 KB
- Volume
- 36
- Category
- Article
- ISSN
- 0925-2312
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