This is the Windows app named Kernel Adaptive Filtering Toolbox to run in Windows online over Linux online whose latest release can be downloaded as kafbox-1.4.zip. It can be run online in the free hosting provider OnWorks for workstations.
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Kernel Adaptive Filtering Toolbox to run in Windows online over Linux online
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DESCRIPTION
[Note: This project has moved. Visit https://github.com/steven2358/kafbox/ for the latest version.]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.
If you use this toolbox in your research please cite:
@inproceedings{vanvaerenbergh2013comparative,
author = {Van Vaerenbergh, Steven and Santamar{\'i}a, Ignacio},
booktitle = {2013 IEEE Digital Signal Processing (DSP) Workshop and IEEE Signal Processing Education (SPE)},
title = {A Comparative Study of Kernel Adaptive Filtering Algorithms},
year = {2013},
note = {Software available at \url{https://github.com/steven2358/kafbox/}}
}
Programming Language
MATLAB
This is an application that can also be fetched from https://sourceforge.net/projects/kafbox/. It has been hosted in OnWorks in order to be run online in an easiest way from one of our free Operative Systems.
