Applications of singular value decomposition to system modeling in signal processing.
Konstantinos KonstantinidesKung YaoPublished in: ICASSP (1984)
Keyphrases
- singular value decomposition
- signal processing
- singular values
- least squares
- dimension reduction
- latent semantic indexing
- image processing
- low rank
- reconstruction error
- low rank approximation
- null space
- latent semantic analysis
- principal component analysis
- dimensionality reduction
- correlation matrix
- data sets
- low rank matrix
- singular vectors
- qr decomposition
- sparse representation
- nearest neighbor
- low rank matrices