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Tutorial on higher-order statistics (spectra) in signal processing and system theory: theoretical results and some applications

Mendel, J.M.·1991·Proceedings of the IEEE

Abstract

A compendium of recent theoretical results associated with using higher-order statistics in signal processing and system theory is provided, and the utility of applying higher-order statistics to practical problems is demonstrated. Most of the results are given for one-dimensional processes, but some extensions to vector processes and multichannel systems are discussed. The topics covered include cumulant-polyspectra formulas; impulse response formulas; autoregressive (AR) coefficients; relationships between second-order and higher-order statistics for linear systems; double C(q,k) formulas for extracting autoregressive moving average (ARMA) coefficients; bicepstral formulas; multichannel formulas; harmonic processes; estimates of cumulants; and applications to identification of various systems, including the identification of systems from just output measurements, identification of AR systems, identification of moving-average systems, and identification of ARMA systems.>

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Metadata

Authors
Mendel, J. M.
Venue
Proceedings of the IEEE
Published
1991-03
Volume
79
Issue
3
Pages
278-305
ISSN
0018-9219 (ISSN-L)
OpenAlex
W2123879611
Cited by
1,810
References
0
FWCI
85.41
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Tutorial on higher-order statistics (spectra) in signal processing and system theory: theoretical results and some applications. https://app.cochat.ai/papers/10.1109/5.75086
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Mendel, J. M. (1991). Tutorial on higher-order statistics (spectra) in signal processing and system theory: theoretical results and some applications. Proceedings of the IEEE. https://doi.org/10.1109/5.75086

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