A MATLAB implementation of the basic functions of the novel nonlinear Spline Adaptive Filter (SAF)
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The SAF Toolbox provides a MATLAB implementation of the basic functions of the novel nonlinear Spline Adaptive Filter (SAF), introduced in the recent works of the authors. This kind of adaptive filter derives from the general family of block-oriented nonlinear architectures.
In addition, some scripts implementing a number of demo extracted from the experimental results of the related literature, were provided. The aims of these demo files is to show how the library functions can be used in practical implementations.
References
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[1] Scarpiniti, M., Comminiello, D., Parisi, R. and Uncini, A., 2013. Nonlinear spline adaptive filtering. Signal Processing, 93(4), pp. 772-783.
[2] Scarpiniti, M., Comminiello, D., Scarano, G., Parisi, R. and Uncini, A., 2016. Steady-State Performance of Spline Adaptive Filters. IEEE Transactions on Signal Processing, 64(4), pp. 816-828.
Cite As
Simone (2026). SAF Toolbox (https://github.com/ispamm/SAF-Toolbox), GitHub. Retrieved .
General Information
- Version 1.0.0.0 (1.06 MB)
-
View License on GitHub
MATLAB Release Compatibility
- Compatible with any release
Platform Compatibility
- Windows
- macOS
- Linux
Versions that use the GitHub default branch cannot be downloaded
| Version | Published | Release Notes | Action |
|---|---|---|---|
| 1.0.0.0 |
