Sampling Theorems for Signals From the Union of Finite-Dimensional Linear Subspaces.
Thomas BlumensathMichael E. DaviesPublished in: IEEE Trans. Inf. Theory (2009)
Keyphrases
- finite dimensional
- linear subspace
- low dimensional
- higher dimensional
- euclidean space
- high dimensional
- vector space
- image space
- convex sets
- dimensionality reduction
- subspace learning
- signal processing
- high dimensional data
- face recognition
- dimension reduction
- principal component analysis
- feature space
- parameter space
- manifold learning
- euclidean distance
- similarity search
- pattern recognition
- image processing
- multiple views
- feature vectors
- viewpoint
- feature extraction