Blind source separation and tracking using nonlinear PCA criterion: a least-squares approach.
Juha KarhunenPetteri PajunenPublished in: ICNN (1997)
Keyphrases
- blind source separation
- least squares
- independent component analysis
- source separation
- independent components analysis
- principal component analysis
- negative matrix factorization
- component analysis
- eigenvalue decomposition
- independent components
- kernel pca
- non stationary
- factor analysis
- signal processing
- feature extraction
- adaptive particle swarm optimization
- sparse representation
- blind separation
- principal components
- algebraic equations
- optical flow
- feature selection
- speech signal
- temporal structure
- single channel
- face images
- source signals