KSIG: Improving the Convergence Rate in Adaptive Filtering Using Kernel Hilbert Space.
Eden P. da SilvaCarlos A. Estombelo-MontescoEwaldo Eder Carvalho SantanaPublished in: BRACIS (2015)
Keyphrases
- convergence rate
- hilbert space
- adaptive filtering
- von neumann
- kernel function
- infinite dimensional
- step size
- finite dimensional
- convergence speed
- reproducing kernel hilbert space
- learning rate
- multivariate time series
- euclidean space
- scale spaces
- convex sets
- denoising
- input space
- filtering method
- kernel methods
- feature maps
- continuous functions
- speech signal
- kernel principal component analysis
- recursive least squares
- image processing
- multiple kernel learning
- kernel matrix
- real valued
- support vector
- multiscale