Vibrational and hydroacoustic signal processing in the frequency domain and its software-hardware implementation

The paper discusses an algorithm for spectral density estimation in the frequency domain using wavelet-based smoothing by wavelet thresholding techniques. The suggested algorithm can be applied to vibrational and hydroacoustic signal processing in order to estimate signal parameters in the frequency...

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Vydáno v:Pattern recognition and image analysis Ročník 27; číslo 3; s. 588 - 598
Hlavní autoři: Klionskiy, D. M., Kaplun, D. I., Kupriyanov, M. S., Dorokhov, A. V., Geppener, V. V., Golubkov, A. M.
Médium: Journal Article
Jazyk:angličtina
Vydáno: Moscow Pleiades Publishing 01.07.2017
Springer Nature B.V
Témata:
Algorithms
Applied Problems
Computer Science
Discrete Wavelet Transform
Hardware
Image Processing and Computer Vision
Order parameters
Parameter estimation
Pattern Recognition
Signal processing
Wavelet transforms
spectral density
thresholding
hydroacoustic signal
vibrational signal
wavelet
software-hardware implementation
frequency domain
signal parameters
maximal overlap discrete Fourier transform
ISSN:1054-6618, 1555-6212
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Shrnutí:The paper discusses an algorithm for spectral density estimation in the frequency domain using wavelet-based smoothing by wavelet thresholding techniques. The suggested algorithm can be applied to vibrational and hydroacoustic signal processing in order to estimate signal parameters in the frequency domain. The algorithm can be applied to the Fourier periodogram without using signal samples in the time domain. We also propose a technique aimed at working with signals of arbitrary length by applying the maximal overlap discrete wavelet transform. We also study software-hardware implementation of the developed algorithms.
Bibliografie:ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 14
ISSN:1054-6618
1555-6212
DOI:10.1134/S1054661817030191