Nonlinear signal reconstruction based on recursive Moving Window Kernel Method.
Leonid LyubchykVladislav KolbasinRoman ShafeyevPublished in: IDAACS (2015)
Keyphrases
- kernel methods
- moving window
- signal reconstruction
- compressive sensing
- basis functions
- image reconstruction
- kernel matrix
- kernel function
- support vector machine
- machine learning
- support vector
- random projections
- reproducing kernel hilbert space
- multiscale analysis
- reproducing kernel
- feature space
- gray scale
- pattern recognition
- multiscale
- high quality
- training data
- decision trees
- neural network