# SAF Toolbox
## Description
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.
## The Latest Version
The latest version of the toolbox can be downloaded on GitHub at the following link:
[https://github.com/ispamm/SAF-Toolbox](https://github.com/ispamm/SAF-Toolbox)
Additional datasets converted according to the toolbox's conventions can be downloaded from the author's website:
[http://michelescarpiniti.site.uniroma1.it/](http://michelescarpiniti.site.uniroma1.it/)
## Documentation
The manual, in .pdf format, is available under the relative folder.
## Installation
Unzip all files in a local folder and use it as current folder for Matlab execution or add it to path.
## Licensing
The toolbox is distributed under BSD-3 license. Please see the file called LICENSE.
## Contacts
* If you have any request, bug report, or inquiry, you can contact the author at:
michele [dot] scarpiniti [at] uniroma1 [dot] it.
* Additional contact information can also be found on the website of the author:
http://michelescarpiniti.site.uniroma1.it/.
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SAF-Toolbox-master.zip (52个子文件)
SAF-Toolbox-master
License.txt 1KB
manual
Manual.pdf 1.69MB
Nonlinear_spline_adaptive_filtering.pdf 1.05MB
SAF_lib
create_SPL_lms_iir_adaptive_filter_1.m 3KB
create_SPL_apa_adaptive_filter_1.m 3KB
AF_LMS_Sandwich2SPL_F.m 4KB
FW_Sandwich1SPL_F.m 2KB
AF_LMS_HSPL_F.m 3KB
FW_III_ord_VF_F.m 3KB
FW_WSPL_F.m 2KB
AF_LMS_LNLJenkins_F.m 4KB
AF_LMS_WPOLY_F.m 3KB
ActFunc.m 4KB
AF_APA_WSPL_F.m 3KB
AF_LMS_WSPL_F.m 3KB
create_Sandwich2SPL_lms_adaptive_filter_1.m 3KB
FW_WSPL_IIR_F.m 2KB
AF_LMS_Sandwich1SPL_F.m 3KB
AF_LMS_HPOLY_F.m 3KB
FW_HSPL_F.m 2KB
FW_Sandwich2SPL_F.m 3KB
FW_WPOLY_F.m 2KB
create_Sandwich1SPL_lms_adaptive_filter_1.m 3KB
AF_APA_HSPL_F.m 4KB
dActFunc.m 3KB
AF_LMS_WSPL_IIR_F.m 4KB
AF_APA_HPOLY_F.m 3KB
create_SPL_lms_adaptive_filter_1.m 2KB
create_LNLJenkins_lms_adaptive_filter_1.m 4KB
create_III_ord_Volterra_filter_1.m 4KB
AF_LMS_MATHEWS_POLY_F.m 3KB
FW_HPOLY_F.m 2KB
AF_LMS_WPOLY_IIR_F.m 4KB
AF_APA_WSPL_IIR_F.m 3KB
create_SPL_apa_iir_adaptive_filter_1.m 3KB
AF_III_ord_VF_APA_F.m 3KB
create_activation_function.m 9KB
demo
S2SAF_compare_demo.m 16KB
HSAF_Polynomial_compare_demo.m 12KB
WSAF_IIR_demo.m 10KB
S2SAF_demo.m 11KB
HSAF_demo.m 10KB
WSAF_DX_compare_demo.m 10KB
S1SAF_compare_demo.m 16KB
WPOLY_demo.m 10KB
S1SAF_demo.m 12KB
WSAF_demo.m 10KB
WSAF_Volterra_compare_demo.m 7KB
HSAF_DX_compare_demo.m 10KB
WSAF_IIR_Volterra_compare_demo.m 10KB
Hammerstein uniform cubic spline adaptive filters_ Learning__and convergence properties.pdf 1.13MB
README.md 2KB
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