Sampling and Reconstruction of Signals in a Reproducing Kernel Subspace of $L^p({\Bbb R}^d)$
M. Zuhair NashedQiyu SunPublished in: CoRR (2009)
Keyphrases
- reproducing kernel
- hilbert space
- von neumann
- infinite dimensional
- reproducing kernel hilbert space
- image reconstruction
- sample size
- euclidean space
- random sampling
- multivariate time series
- low dimensional
- high dimensional
- machine learning
- dimension reduction
- high dimensional data
- scale spaces
- dimensionality reduction
- principal component analysis