Improving the approximation ability of Volterra series identified with a cross-correlation method

• DOI: 10.1007/s11071-014-1631-7
• Publication Date: 2014-09-15T14:41:48Z
• Authors: Simone Orcioni
• Keywords: Volterra series; Kernel (algebra); Representation

This paper proposes an improvement in cross-correlation methods derived from the Lee–Schetzen method, order to obtain a lower mean square error output for wider range of input variances. In particular, each Wiener kernel is identified with different variance and new formulas conversion Volterra representation are presented.