Interpreting the Trispectrum as the Cross-Spectrum of the Wigner–Ville Distribution

The fourth-order time-invariant spectrum, or trispectrum, has a simple derivation as the cross-spectrum among frequency bands in the Wigner-Ville distribution (WVD). Viewed this way, the trispectrum gains intuitive meaning as a measure of the linear dependence of power across frequencies, which yields some insight into its structure and interpretation. We highlight, in particular, a two-dimensional subdomain as useful for identifying modulated oscillations when the modulating envelope is non-negative or lowpass. Spectral characteristics of the carrier and modulating signals are revealed along separate axes of a two-dimensional representation of this domain. The application of this framework, combined with a previously described additive decomposition technique for higher-order spectra, is demonstrated by the blind identification and separation of sleep spindles and beta bursts in EEG.

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Publication Details

Journal
IEEE Signal Processing Letters
Published
2025-12-05
DOI
https://doi.org/10.1109/lsp.2025.3640510
Primary Topic
EEG and Brain-Computer Interfaces
Type
article
Field-Weighted Citation Impact
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article

Interpreting the Trispectrum as the Cross-Spectrum of the Wigner–Ville Distribution

S. Gliske, Erin Radcliffe, Christopher K. Kovach, Aviva Abosch et al.
IEEE Signal Processing Letters
EEG and Brain-Computer Interfaces
article

Interpreting the Trispectrum as the Cross-Spectrum of the Wigner–Ville Distribution

S. Gliske, Erin Radcliffe, Christopher K. Kovach, Aviva Abosch, John A. Thompson, Sam Shipley
article en

Abstract

The fourth-order time-invariant spectrum, or trispectrum, has a simple derivation as the cross-spectrum among frequency bands in the Wigner-Ville distribution (WVD). Viewed this way, the trispectrum gains intuitive meaning as a measure of the linear dependence of power across frequencies, which yields some insight into its structure and interpretation. We highlight, in particular, a two-dimensional subdomain as useful for identifying modulated oscillations when the modulating envelope is non-negative or lowpass. Spectral characteristics of the carrier and modulating signals are revealed along separate axes of a two-dimensional representation of this domain. The application of this framework, combined with a previously described additive decomposition technique for higher-order spectra, is demonstrated by the blind identification and separation of sleep spindles and beta bursts in EEG.

IEEE Signal Processing LettersVol. 33
Baptist Hospital of Miami (US), Baptist Health South Florida (US), University of Colorado Anschutz Medical Campus (US), University of Nebraska Medical Center (US)
Openalex Percentile: Top 61%
EEG and Brain-Computer Interfaces
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Interpreting the Trispectrum as the Cross-Spectrum of the Wigner–Ville Distribution — S. Gliske, Erin Radcliffe, et al. · IEEE Signal Processing Letters (2025) | TGRS Research Map | TGRS