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 |
Files in This Item:
File | Description | Size | Format | |
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2528-2533.pdf | 172.37 kB | Adobe PDF | View/Open |
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