Robust recursive bi-iteration singular value decomposition (SVD) for subspace tracking and adaptive filtering.
Yu WenShing-Chow ChanKa-Leung HoPublished in: ISCAS (4) (2003)
Keyphrases
- singular value decomposition
- adaptive filtering
- dimensionality reduction
- principal component analysis
- low rank
- singular vectors
- rank minimization
- low rank matrix
- singular values
- null space
- least squares
- dimension reduction
- latent semantic indexing
- filtering method
- particle filter
- low rank approximation
- qr decomposition
- subspace learning
- denoising
- data matrix
- speech signal
- low dimensional
- latent semantic analysis
- factorization method
- image denoising
- feature space
- neural network