EEG signal classification using nonlinear independent component analysis.
Farid OveisiPublished in: ICASSP (2009)
Keyphrases
- independent component analysis
- eeg signals
- eeg data
- signal processing
- principle component analysis
- source separation
- independent components
- blind source separation
- principal component analysis
- factor analysis
- image classification
- pattern recognition
- kernel density estimators
- machine learning
- neural network
- feature vectors
- feature space
- support vector machine svm
- classification accuracy
- blind separation
- extracted features
- feature selection
- independent subspace analysis
- feature set
- independent components analysis
- computer vision
- image processing
- feature extraction
- support vector
- dimension reduction
- non stationary
- support vector machine
- dimensionality reduction