Subspace-based signal analysis using singular value decomposition.
Alle-Jan van der VeenEd F. DeprettereA. Lee SwindlehurstPublished in: Proc. IEEE (1993)
Keyphrases
- singular value decomposition
- signal analysis
- dimensionality reduction
- principal component analysis
- singular vectors
- signal processing
- feature extraction
- null space
- multiresolution
- qr decomposition
- singular values
- low dimensional
- least squares
- low rank
- empirical mode decomposition
- subspace learning
- adaptive learning
- scatter matrices
- high dimensional data
- reconstruction error
- high dimensional
- pattern recognition
- median filter
- feature space
- eeg data
- independent component analysis
- data matrix
- neural network
- data points
- wavelet decomposition
- lifting scheme
- linear discriminant analysis
- correlation matrix
- noise reduction
- subband
- wavelet transform
- low rank approximation
- multiscale
- face recognition