A complex generalized model of autoregression of non-Gaussian processes

Authors

DOI:

https://doi.org/10.3103/S0735272706080036

Abstract

The paper is devoted to the problem of generation of higher-order statistics for complex non-Gaussian random processes. The generalized complex autoregressive models based on the moment functions are set up. A technique is developed for generation of complex non-Gaussian random processes by prescribed parameters of higher-order spectra.

References

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Published

2006-08-03

Issue

Section

Research Articles