HIGH ORDER STATISTICS USED IN IDENTIFICATION OF NON-GAUSSIAN PROCESSES BY MEANS OF LINEAR PREDICTION MODELS

摘要

The paper proposes methods of using high order statistics for obtaining attributes in the problem of identification of non-Gaussian processes. Application of a set of generalized lattice filters, whose parameters are calculated from moment functions of the third and fourth orders, is shown to raise the probability of correct identification.