A PCA aided cross-covariance scheme for discriminative feature extraction from EEG signals.
Roozbeh ZareiJing HeSiuly SiulyYanchun ZhangPublished in: Comput. Methods Programs Biomed. (2017)
Keyphrases
- feature extraction
- eeg signals
- principal component analysis
- extracted features
- principle component analysis
- covariance matrix
- dimensionality reduction
- pattern classification
- discriminant information
- feature vectors
- face recognition
- dimension reduction
- feature selection
- signal processing
- image classification
- motor imagery
- wavelet transform
- linear discriminant analysis
- principal components analysis
- face images
- preprocessing
- feature space
- brain activity
- extracting features
- image processing
- support vector machine svm
- pattern recognition
- frequency analysis
- texture analysis
- high dimensional
- discriminant analysis
- texture features
- neural network