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  • Bispectra 02062020

    Rights statement: 12m

    Accepted author manuscript, 3.07 MB, PDF document

    Embargo ends: 1/01/50

    Available under license: CC BY-NC: Creative Commons Attribution-NonCommercial 4.0 International License

  • Supplementary codes

    Accepted author manuscript, 5.61 KB, multipart/x-zip

    Available under license: CC BY-SA: Creative Commons Attribution-ShareAlike 4.0 International License

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Defining the Wavelet Bispectrum

Research output: Contribution to journalJournal articlepeer-review

Forthcoming
<mark>Journal publication date</mark>19/10/2020
<mark>Journal</mark>Applied and Computational Harmonic Analysis
Publication StatusAccepted/In press
<mark>Original language</mark>English

Abstract

Bispectral analysis is an eective signal processing tool for analysing interactions between oscillations, and has been adapted to the continuous wavelet transform for time-evolving analysis of open systems. However, one unaddressed question for the wavelet bispectrum is quantication of the bispectral content of an area of scale-scale space. This makes the capacity for quantitative rather than merely qualitative interpretation of wavelet bispectrum computations very limited. In this paper, we overcome this limitation by providing suitable normalisations of the wavelet bispectrum formula that enable it to be treated as a density to be integrated. These are roughly analogous to the normalisation for second-order wavelet spectral densities. We prove that our denition of the wavelet bispectrum matches the traditional bispectrum of sums of sinusoids, in the limit as the frequency resolution tends to innity. We illustrate the improved quantitative power of our denition with numerical and experimental data.