Method of adaptive threshold wavelet processing of pulse signals

  1. Kaliningrad State Technical University
  2. Institute of cosmophysical research and radio wave propagation

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Geoacoustic emission (GAE) signals recorded at the geodynamic polygon of the Kamchatka Peninsula
are a complex multicomponent source of information about the stress-
strain state of the medium at mesoscales. This type of signal has a pulsed nature. A
number of studies have shown that an increase in the intensity of pulse repetition is a possible
harbinger of earthquakes. GAE signals often contain noise and interference, the appearance of which is due
to a number of reasons, for example, the heterogeneity of the propagation medium, the influence of weather conditions, human activity, etc. Thus, GAE signals contain constantly present background noise, while
its intensity varies over time. This noise significantly distorts the shape of geoacoustic
pulses and thereby complicates the analysis of signals, the isolation of its structural components and, as a result,
reduces the reliability of its predictive capabilities. The presented article presents the results
of the assessment of background noise geoacoustic

Tristanov A. B., Lukovenkova O. O., Solodchuk A. A. Method of adaptive threshold wavelet processing of pulse signals // Marine intelligent technologies. 2023. No. 4, part 1. pp. 205-213. - DOI: 10.37220/MIT.2023.62.4.025.