Geometrical Interpretation of the PCA Subspace Approach for Overdetermined Blind Source Separation.
Stefan WinterHiroshi SawadaShoji MakinoPublished in: EURASIP J. Adv. Signal Process. (2006)
Keyphrases
- blind source separation
- geometrical interpretation
- principal component analysis
- independent component analysis
- covariance matrix
- subspace methods
- negative matrix factorization
- independent components
- component analysis
- principal components
- low dimensional
- dimensionality reduction
- source separation
- factor analysis
- adaptive particle swarm optimization
- blind separation
- feature space
- non stationary
- linear discriminant analysis
- dimension reduction
- eigenvalue decomposition
- linear subspace
- feature extraction
- sparse representation
- face recognition
- speech signal
- convolutive mixtures
- discriminant analysis
- independent components analysis
- single channel
- high dimensional data
- random projections
- signal processing
- face images
- high dimensional