Translation of electroencephalographic (EEG) recordings into control signals for brain-computer interface (BCI) systems needs to be based on a robust classification of the various types of information. EEG-based BCI features are often noisy and likely to contain outliers. This contribution describes
β¦ LIBER β¦
Classification of washing machines vibration signals using discrete wavelet analysis for feature extraction
β Scribed by Goumas, S.K.; Zervakis, M.E.; Stavrakakis, G.S.
- Book ID
- 114629069
- Publisher
- IEEE
- Year
- 2002
- Tongue
- English
- Weight
- 479 KB
- Volume
- 51
- Category
- Article
- ISSN
- 0018-9456
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