A note on the eigenvalues, singular values, and eigenvectors of Toeplitz and Hankel matrices.
Sven-Erik EkströmStefano Serra CapizzanoParis VassalosPublished in: CoRR (2022)
Keyphrases
- singular values
- singular value decomposition
- correlation matrix
- least squares
- low rank
- principal component analysis
- matrix completion
- dimensionality reduction
- data matrix
- matrix decomposition
- eigenvalues and eigenvectors
- principal components
- low rank approximation
- covariance matrix
- optical flow
- computer vision
- systems of linear equations
- singular vectors
- three dimensional
- low rank matrix
- viewpoint