RUSSIAN JOURNAL OF EARTH SCIENCES, VOL. 12, ES5003, doi:10.2205/2012ES000522, 2012
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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
Figures
- Figure 1. Filtered HPS signal for $6,503,000 \le i \le 7,752,000$.
- Figure 2. Filtered HPS signal for the points $6,703,100\le i\le 6,709,900$.
- Figure 3. Signal with LR-disturbances at points $6,704,165\le i\le 6,704,340$...
- Figure 4. Signal with TW-disturbance, starts at the point $i\approx 6,706,750$...
- Figure 5. Location of anomalies.
- Figure 6. TFD function for LR-disturbance.
- Figure 7. TFD function for TW-disturbance.
- Figure 8. Graph of indicator function $\alpha_{R} (i)$ of recognition of...
- Figure 9. Graph of the indicator function $\alpha_{r} (i)$ of recognition...
Tables
- Table 1. The Data on Recognition of LR-Disturbances
- Table 2. The Data on Recognition of TW-Disturbances
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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