The article deals with the problem of recognition of anomalies in time series with Raleigh- and tsunami-wave disturbances in signals from hydrostatic pressure sensors HPS of ocean bottom seismic stations in the framework of tsunami warning problem. The proposed method of spectral-time analysis STAN of signals from the sensors was based on computing the evaluations of functions of frequency-time distribution, decision-making procedures and non-linear filtering for the above problem. The developed STAN method was applied to recognize time intervals with Rayleigh and tsunami-wave disturbances in HPS signals. The proposed STAN method is quite universal and can be used to solve problems of recognition of anomalies in time series of geophysical data of different nature.
Tsunami, hydrostatic pressure sensors, recognition, anomalies, Raleigh disturbances, spectral-time analysis, functions of frequency-time distribution, decision-making procedures
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