Abstract
The paper discusses the processing and analysis methods for the geoacoustic and electromagnetic emission pulse signals recorded for more than 20 years at the IKIR FEB RAS geodynamic proving ground (Kamchatka Peninsula). The methods for pulse detection, waveform reconstruction, pulse time-frequency analysis using adaptive sparse approximation, structural description of pulse waveforms and pulse classification are proposed. To detect pulses, the adaptive threshold scheme is used. It adjusts to the noise level of a processed signal. To analyze time-frequency structure of the pulses, the adaptive matching pursuit algorithm is used. To identify pulse waveform, the structural description method is proposed. It encodes pulses with special image matrices. The method of the identified pulses classification is considered. Since the methods for pulse structure analysis are sensitive to noise and distortions, the authors propose the method for pulse waveform reconstruction based on wavelet filtering. The geophysical signal information features determined during the analysis can be used to search for anomalies in the data, and then establish a relationship between these anomalies and deformation process dynamics, in particular, with earthquake development processes.
Highlights
Continuous monitoring of geophysical signals at various stages of the deformation process has been carried out for more than 20 years at the IKIR FEB RAS geodynamic polygon in the seismically active region (Kamchatka Peninsula)
A variety of waveforms and a wide dynamic range of frequencies and amplitudes of signals, as well as strong noise from both natural and industrial noises significantly complicate the analysis of pulse geophysical signals using well-known statistical, spectral, energy, and other methods
The first is to classify pulses by amplitude-time form in order to reduce pulse diversity and identify characteristic and anomalous forms; the second is to use sparse approximation to study the features of the time-frequency structure of geophysical signal
Summary
Continuous monitoring of geophysical signals at various stages of the deformation process has been carried out for more than 20 years at the IKIR FEB RAS geodynamic polygon in the seismically active region (Kamchatka Peninsula). The dynamics of pulse flow parameters of the recorded geophysical signals can be considered as an indicator of the stress-strain state of the geophysical system that generates these signals [1,2,3,4]. A variety of waveforms and a wide dynamic range of frequencies and amplitudes of signals, as well as strong noise from both natural and industrial noises significantly complicate the analysis of pulse geophysical signals using well-known statistical, spectral, energy, and other methods. The first is to classify pulses by amplitude-time form in order to reduce pulse diversity and identify characteristic and anomalous forms; the second is to use sparse approximation to study the features of the time-frequency structure of geophysical signal. The methods considered in the paper are used for the analysis of geoacoustic and electromagnetic (electrical component of sferics) signals
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