A Matlab benchmarking toolbox for kernel adaptive filtering.
Kernel adaptive filtering algorithms are online and adaptive regression algorithms based on kernels. They are suitable for nonlinear filtering, prediction, tracking and nonlinear regression in general. This toolbox includes algorithms, demos, and tools to compare their performance.
See the included README file for a list of included algorithms and more details.
Very good Software.
Works and fast.