Journal
NONLINEAR DYNAMICS
Volume 78, Issue 4, Pages 2861-2869Publisher
SPRINGER
DOI: 10.1007/s11071-014-1631-7
Keywords
Lee-Schetzen method; Volterra series; Nonlinear systems; Cross-correlation methods
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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.
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