Improving Sparsity in Kernel Adaptive Filters Using a Unit-Norm Dictionary.
Felipe A. TobarPublished in: CoRR (2017)
Keyphrases
- sparse representation
- regularized least squares
- mixed norm
- high dimensional
- kernel function
- support vector
- hilbert space
- sparse approximations
- input space
- dictionary learning
- feature space
- norm regularization
- kernel methods
- sparse coding
- positive definite
- kernel regression
- signal processing
- sparsity inducing
- learning algorithm