This paper proposes an improvement in cross-correlation methods derived from the Lee–Schetzen method, in order to obtain a lower mean square error in the output for a wider range of the input variances. In particular, each Wiener kernel is identified with a different input variance and new formulas for conversion from Wiener to Volterra representation are presented.
Improving the approximation ability of Volterra series identified with a cross-correlation method / Orcioni, Simone. - In: NONLINEAR DYNAMICS. - ISSN 0924-090X. - STAMPA. - 78:4(2014), pp. 2861-2869. [10.1007/s11071-014-1631-7]
Improving the approximation ability of Volterra series identified with a cross-correlation method
ORCIONI, Simone
2014-01-01
Abstract
This paper proposes an improvement in cross-correlation methods derived from the Lee–Schetzen method, in order to obtain a lower mean square error in the output for a wider range of the input variances. In particular, each Wiener kernel is identified with a different input variance and new formulas for conversion from Wiener to Volterra representation are presented.File in questo prodotto:
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