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README.txt
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README.txt
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New files added to the Volterra-Wiener tool:
ident_volt.m :Identification of Wiener system with algorithm proposed in
[1] Simone Orcioni, Massimiliano Pirani, and Claudio Turchetti. Advances in
Lee-Schetzen method for Volterra filter identification. Multidimensional
Systems and Signal Processing, 16(3):265-284, 2005.
ident_volt_20.m :Identification of Wiener system with the mukltiple-variance
algorithm proposed in
[2] Simone Orcioni. Improving the approximation ability of Volterra series
identified with a cross-correlation method. Nonlinear Dynamics, 2014.
Wiener2Volterra_20.m : Formulas for Wiener to Volterra conversion for
mukltiple-variance algorithm.
In the directory examples you can find the code used in [2] to obtain all
published results.
The multiple variance algorithm has been updated to use the computational
complexity reduction method presented in
[3] Orcioni, S., Terenzi, A., Cecchi, S., Piazza, F., & Carini, A. (2018).
Identification of Volterra Models of Tube Audio Devices using
Multiple-Variance Method. Journal of the Audio Engineering Society,
66(10), 823–838. https://doi.org/10.17743/jaes.2018.0046