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Cited by 1,377

The DOI matches its Crossref record; 26 of the 26 references it cites were found in a registry or an index.

Bispectrum estimation: A digital signal processing framework

Nikias, C.L., Raghuveer, M.R.·1987·Proceedings of the IEEE

Abstract

It is the purpose of this tutorial paper to place bispectrum estimation in a digital signal processing framework in order to aid engineers in grasping the utility of the available bispectrum estimation techniques, to discuss application problems that can directly benefit from the use of the bispectrum, and to motivate research in this area. Three general reasons are behind the use of bispectrum in signal processing and are addressed in the paper: to extract information due to deviations from normality, to estimate the phase of parametric signals, and to detect and characterize the properties of nonlinear mechanisms that generate time series.

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Metadata

Authors
Nikias, C. L., & Raghuveer, M. R.
Venue
Proceedings of the IEEE
Published
1987
Volume
75
Issue
7
Pages
869-891
ISSN
0018-9219 (ISSN-L)
OpenAlex
W2018388266
Cited by
1,377
References
26
FWCI
35.01
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Bispectrum estimation: A digital signal processing framework. https://app.cochat.ai/papers/10.1109/proc.1987.13824
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Nikias, C. L., & Raghuveer, M. R. (1987). Bispectrum estimation: A digital signal processing framework. Proceedings of the IEEE. https://doi.org/10.1109/proc.1987.13824

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