Please use this identifier to cite or link to this item: https://elib.psu.by/handle/123456789/22831
Title: Application of Harmonic Wavelets to Processing Oscillating Hydroacoustic Signals
Authors: Klionskiy, D.
Kaplun, D.
Gulvanskiy, V.
Bogaevskiy, D.
Romanov, S.
Kalincev, S.
Issue Date: 2017
Publisher: IEEE
Citation: Klionskiy, D. M. Application of harmonic wavelets to processing oscillating hydroacoustic signals / D. M. Klionskiy, D. I. Kaplun, V. V. Gulvanskiy, D. V. Bogaevskiy, S. A. Romanov, S. V. Kalincev // Progress in Electromagnetics Research Symposium, Singapore (19-22 Nov. 2017) - pp. 2528-2533, doi 10.1109PIERS-FALL.2017.8293563
Abstract: The paper is devoted to the application of specific functions called harmonic wavelets, which are aimed at processing a wide range of oscillating hydroacoustic signals including multiharmonic and transient signals. We provide basics of the harmonic wavelet transform and a two-stage algorithm for computing wavelet coefficients based on the discrete Fourier transform. We introduce a special efficiency factor of applying these wavelets to oscillating hydroacoustic signals. Application of harmonic wavelets is efficient for processing oscillating hydroacoustic signals since harmonic wavelets have similarities with these types of signals. In many cases the best basis is the basis that has high correlation with the investigated signals since signal representation in such a basis will require a small number of components. We devote special attention to a very important practical task - denoising of oscillating signals using special statistical criteria and wavelet-based thresholding.
Keywords: Wavelet transforms
Harmonic analysis
Standards
Wavelet domain
Signal denoising
Time-domain analysis
URI: https://elib.psu.by/handle/123456789/22831
metadata.dc.identifier.doi: 10.1109/PIERS-FALL.2017.8293563
Appears in Collections:Публикации в Scopus и Web of Science

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