Cyclic-cumulant based identification of almost periodically time-varying systems: Parametric methods

Amod V. Dandawate, Georgios B. Giannakis

Research output: Chapter in Book/Report/Conference proceedingConference contribution

8 Scopus citations

Abstract

Identification of known order (almost) periodically time- varying ARM A models is addressed using cyclic cumulants of output only, or, input/output data. Several approaches are presented under different modeling assumptions and their relative merits are discussed. Both linear and non-linear algorithms are derived in time-And cyclic-domains and optimality issues are considered. All the algorithms utilize consistent single record estimators, are phase sensitive and are shown to be insensitive to any stationary noise as well as additive (perhaps nonstationary) Gaussian noise of unknown covariance.

Original languageEnglish (US)
Title of host publicationICASSP 1992 - 1992 International Conference on Acoustics, Speech, and Signal Processing
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages229-232
Number of pages4
ISBN (Electronic)0780305329
DOIs
StatePublished - Jan 1 1992
Event1992 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 1992 - San Francisco, United States
Duration: Mar 23 1992Mar 26 1992

Publication series

NameICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
Volume5
ISSN (Print)1520-6149

Other

Other1992 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 1992
CountryUnited States
CitySan Francisco
Period3/23/923/26/92

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    Dandawate, A. V., & Giannakis, G. B. (1992). Cyclic-cumulant based identification of almost periodically time-varying systems: Parametric methods. In ICASSP 1992 - 1992 International Conference on Acoustics, Speech, and Signal Processing (pp. 229-232). [226528] (ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings; Vol. 5). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICASSP.1992.226528