Improving the approximation ability of Volterra series identified with a cross-correlation method.

Published: 23 October 2016| Version 2 | DOI: 10.17632/wjf9g78yj5.2
Contributor:
Simone Orcioni

Description

Matlab/Octave toolbox implementing the cross-correlation method described in the paper. The method is an extension of Lee-Schetzen cross-correlation, using multiple-variances.

Files

Steps to reproduce

In the "example" folder of the toolbox there are all necessary files to reproduce the results published in the related paper. To obtain the same figures of the paper use Octave. Using Matlab slightly different results can be obtained. You can download the toolbox and the paper from the links below.

Institutions

Universita Politecnica delle Marche

Categories

Nonlinear System Identification

Related Links

Software
https://github.com/orcioni/Volterra2.0
is source of this dataset
Article
http://link.springer.com/article/10.1007/s11071-014-1631-7
is related to this dataset

Licence