A DFT-based approximate eigenvalue and singular value decomposition of polynomial matrices.
Mahdi TohidianHamidreza AmindavarAli M. RezaPublished in: EURASIP J. Adv. Signal Process. (2013)
Keyphrases
- singular value decomposition
- least squares
- correlation matrix
- singular values
- data matrix
- latent semantic indexing
- measurement matrix
- low rank
- low rank approximation
- dimensionality reduction
- null space
- reconstruction error
- dimension reduction
- scatter matrices
- principal component analysis
- error minimization
- frequency domain
- low rank matrices
- covariance matrix
- singular vectors
- factorization method
- pattern recognition
- machine learning
- symmetric matrix
- data sets