RUSSIAN JOURNAL OF EARTH SCIENCES, VOL. 12, ES5003, doi:10.2205/2012ES000522, 2012

Method of spectral-time analysis for recognition of anomalies in time series with Raleigh- and tsunami-wave disturbances in signals from hydrostatic pressure sensors of ocean bottom seismic stations

V. G. Getmanov

Abstract

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.

Received 26 July 2012; accepted 29 July 2012; published 12 September 2012.

 
Citation: Getmanov V. G. (2012), Method of spectral-time analysis for recognition of anomalies in time series with Raleigh- and tsunami-wave disturbances in signals from hydrostatic pressure sensors of ocean bottom seismic stations, Russ. J. Earth Sci., 12, ES5003, doi:10.2205/2012ES000522.
 

Copyright 2012 by the Geophysical Center RAS.

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