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Detecting and Identifying Anomalous Effects in Complex Signals

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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.

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Funding

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.

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Authors and Affiliations

  1. Saint Petersburg Electrotechnical University “LETI”, St. Petersburg, 197376, Russia

    V. V. Geppener

  2. Institute of Cosmophysical Research and Radio Wave Propagation, Far Eastern Branch of the Russian Academy of Sciences, Paratunka, Elizovo raion, Kamchatka krai, 684034, Russia

    B. S. Mandrikova

Authors
  1. V. V. Geppener
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  2. B. S. Mandrikova
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Corresponding authors

Correspondence to V. V. Geppener or B. S. Mandrikova.

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Translated by V. Potapchouck

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Geppener, V.V., Mandrikova, B.S. Detecting and Identifying Anomalous Effects in Complex Signals. Autom Remote Control 82, 1668–1678 (2021). https://doi.org/10.1134/S0005117921100052

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  • DOI: https://doi.org/10.1134/S0005117921100052

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