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Avtomatika i Telemekhanika, 2021, Issue 10, Pages 46–59
DOI: https://doi.org/10.31857/S0005231021100056 (Mi at15799) 		 
This article is cited in 4 scientific papers (total in 4 papers)

Detecting and identifying anomalous effects in complex signals

V. V. Geppenera, B. S. Mandrikovab

a Saint Petersburg Electrotechnical University “LETI”, St. Petersburg, 197376 Russia
b Institute of Cosmophysical Research and Radio Wave Propagation, Far Eastern Branch of the Russian Academy of Sciences, Paratunka, Elizovo raion, Kamchatka krai, 684034 Russia
Full-text PDF (2981 kB) Citations (4)
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DOI: https://doi.org/10.31857/S0005231021100056
Abstract: We propose a method for detecting and identifying anomalous effects in a signal of a complex structure based on nonlinear approximating schemes in the dictionary of wavelet packets. Taking into account the properties of the time–frequency window of the wavelet transform, an adaptive threshold is introduced. Increasing the efficiency of detecting various types of structures is achieved by applying a superposition of wavelet transform constructions. Using neutron monitor data as an example, it is shown that the method permits one to suppress noise and identify anomalous effects of various shapes and duration. The results confirmed the efficiency of the proposed method for detecting low-amplitude Forbush effects in cosmic ray variations.
Keywords: data analysis, nonlinear approximation, wavelet packet, cosmic ray variation.
Funding agency Grant number
Ministry of Science and Higher Education of the Russian Federation АААА-А21-121011290003-0
The work was carried out within the framework of the State assignment on the topic “Physical processes in the system of near space and geospheres under solar and lithospheric influences” (2021–2023), reg. no. AAAA-A21-121011290003-0.
Presented by the member of Editorial Board: A. A. Lazarev

Received: 24.01.2021
Revised: 26.04.2021
Accepted: 30.06.2021
English version:
Automation and Remote Control, 2021, Volume 82, Issue 10, Pages 1668–1678
DOI: https://doi.org/10.1134/S0005117921100052
Bibliographic databases:
Document Type: Article
Language: Russian
Citation: V. V. Geppener, B. S. Mandrikova, “Detecting and identifying anomalous effects in complex signals”, Avtomat. i Telemekh., 2021, no. 10, 46–59; Autom. Remote Control, 82:10 (2021), 1668–1678
Citation in format AMSBIB
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\paper Detecting and identifying anomalous effects in complex signals
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\issue 10
\pages 46--59
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\transl
\jour Autom. Remote Control
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\vol 82
\issue 10
\pages 1668--1678
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  • https://www.mathnet.ru/eng/at/y2021/i10/p46
    • This publication is cited in the following 4 articles:
    Citing articles in Google Scholar: Russian citations, English citations
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