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
Our Free Plans just got better! | Auth0
You asked, we delivered! Auth0 is excited to expand our Free and Paid plans to include more options so you can focus on building, deploying, and scaling applications without having to worry about your security. Auth0 now, thank yourself later.
Rate This Project
Login To Rate This Project
User Reviews
Be the first to post a review of Volterra2.0!