Channel optimization and nonlinear feature extraction for Electroencephalogram signals classification.
Raksha UpadhyayA. ManglickD. K. ReddyP. K. PadhyPavan Kumar KankarPublished in: Comput. Electr. Eng. (2015)
Keyphrases
- feature extraction
- eeg signals
- pattern classification
- feature vectors
- pattern recognition
- feature selection
- feature set
- image classification
- classification accuracy
- preprocessing
- kernel principal component analysis
- eeg data
- support vector machine svm
- feature space
- dimension reduction
- feature representation
- classification method
- optimization algorithm
- feature extraction and classification
- machine learning
- support vector machine
- support vector
- text classification
- signal processing
- optimization problems
- signal analysis
- extracting features
- single channel
- high dimensional feature space
- frequency domain
- extracted features
- multi channel
- independent component analysis
- principal component analysis
- image processing
- optimization method
- brain activity
- wavelet transform
- quadratic program
- face recognition
- source separation
- image feature extraction
- acoustic signals