Approximation of Myopic Systems Whose Inputs Need Not BeContinuous
Multidimensional Systems and Signal Processing
A bibliography on nonlinear system identification
Signal Processing - Special section on digital signal processing for multimedia communications and services
Nonlinear system identification using Gaussian inputs
IEEE Transactions on Signal Processing
Advances in Lee--Schetzen Method for Volterra Filter Identification
Multidimensional Systems and Signal Processing
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The estimation of diagonal elements of a Wiener model kernel is a well-known problem. The new operators and notations proposed here aim at the implementation of efficient and accurate nonparametric algorithms for the identification of diagonal points. The formulas presented here allow a direct implementation of Wiener kernel identification up to the nth order. Their efficiency is demonstrated by simulations conducted on discrete Volterra systems up to fifth order.