ARMA MODELING AND PHASE RECONSTRUCTION OF MULTIDIMENSIONAL NON-GAUSSIAN PROCESSES USING CUMULANTS.

Ananthram Swami, Georgios B. Giannakis

Research output: Contribution to journalConference articlepeer-review

15 Scopus citations

Abstract

A statistical multidimensional sequence, generated by a non-Gaussian process, passes through a linear space-invariant (perhaps ARMA) model and colored Gaussian noise is added at the output. Given output cumulants, algorithms are derived for the nonparametric reconstruction of the system's phase as well as for the parametric identification of the ARMA model, which can be noncausal or have nonseparable denominator.

Original languageEnglish (US)
Pages (from-to)729-732
Number of pages4
JournalICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
StatePublished - Jan 1 1988

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