Orthogonal method for the Identification of Volterra series. It is an extension of Lee-Schetzen method with two major improvments:
1. Reduced identification uncertainty in diagonal kernel points.
2. Possibility to identify each Volterra kernel with an input with different variance.
This feature reduces the identification noise on lower order kernels and improve the "resolution" on higher order kernels.
For reference see:
Simone Orcioni. Improving the approximation ability of Volterra series identified with a cross-correlation method. DOI:10.1007/s11071-014-1631-7. pp.2861-2869. In NONLINEAR DYNAMICS - ISSN:0924-090X vol. 78 (4) 2014.
License
GNU General Public License version 3.0 (GPLv3)Follow Volterra2.0
Other Useful Business Software
Go From AI Idea to AI App Fast
Access Gemini 3 and 200+ models. Build chatbots, agents, or custom models with built-in monitoring and scaling.
Rate This Project
Login To Rate This Project
User Reviews
Be the first to post a review of Volterra2.0!