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.
2014
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11566/182902
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