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Avtomatika i Telemekhanika, 2019, Issue 7, Pages 122–133
DOI: https://doi.org/10.1134/S0005231019070055 (Mi at15302) 		 
This article is cited in 3 scientific papers (total in 3 papers)

Intellectual Control Systems, Data Analysis

A search method for unknown high-frequency oscillators in noisy signals based on the continuous wavelet transform

I. V. Shcherban, N. E. Kirilenko, S. O. Krasnikov

Southern Federal University, Rostov-on-Don, Russia
Full-text PDF (847 kB) Citations (3)
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DOI: https://doi.org/10.1134/S0005231019070055
Abstract: We propose a method for finding a priori undefined structures of unknown temporal fluctuations for frequency oscillators of various intensities as part of the output signals of synchronized dynamical systems. Unlike traditional approaches, the developed method is based on the continuous wavelet transform of the observed signal and is efficient in cases when frequency characteristics of the desired pattern are close to the noise characteristics of the output signal.
Keywords: continuous wavelet transform, wavelet entropy, pattern.
Presented by the member of Editorial Board: V. I. Vasil'ev

Received: 03.02.2017
Revised: 03.01.2019
Accepted: 07.02.2019
English version:
Automation and Remote Control, 2019, Volume 80, Issue 7, Pages 1279–1287
DOI: https://doi.org/10.1134/S0005117919070051
Bibliographic databases:
Document Type: Article
Language: Russian
Citation: I. V. Shcherban, N. E. Kirilenko, S. O. Krasnikov, “A search method for unknown high-frequency oscillators in noisy signals based on the continuous wavelet transform”, Avtomat. i Telemekh., 2019, no. 7, 122–133; Autom. Remote Control, 80:7 (2019), 1279–1287
Citation in format AMSBIB
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  • https://www.mathnet.ru/eng/at/y2019/i7/p122
    • This publication is cited in the following 3 articles:
    Citing articles in Google Scholar: Russian citations, English citations
    Related articles in Google Scholar: Russian articles, English articles
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