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Matching-extrapolation of bicumulants of one-D signals using two-D AR modeling

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2 Author(s)
Erdem, A.T. ; Eastman Kodak Co., Rochester, NY, USA ; Tekalp, A.M.

A 2-D autoregressive (AR) model is proposed which is not based on an underlying linear process representation, for matching-extrapolation of arbitrary bicumulant sequences of one-dimensional signals. This model employs the same number of coefficients as the number of given bicumulant samples, thus, makes it possible to extrapolate a given finite set of bicumulant samples to infinity while being consistent with, i.e., matching, all of the given samples. The computation of the model coefficients requires solving a system of linear equations. An algorithm is developed for the extrapolation of the given bicumulant samples based on the proposed 2-D AR model. An example is presented to compare the performance of the proposed method with other approaches for the extrapolation of a given set of bicumulant samples

Published in:

Acoustics, Speech, and Signal Processing, 1991. ICASSP-91., 1991 International Conference on

Date of Conference:

14-17 Apr 1991