Abstract
An algorithm is presented for the identification of the Volterra kernels of nonlinear systems using coloured Gaussian excitation. The solution is presented in terms of multidimentisional Z-transforms of the system's kernels. The cases of white Gaussian and non-Gaussian inputs are also considered. The results of a simulation study are included to illustrate the validity of the algorithm.
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