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Background/Objectives: Ionospheric total electron content perturbations generated by earthquake occurred in Indonesia are analyzed. Methods/Statistical Analysis: The vertical total electron content data on the earthquake day is detrended such that it can be analyzed using statistical signal processing algorithms. Modified periodogram algorithm is implemented on both the disturbed and undisturbed vertical total electron content data. Findings: From the power spectral densities of modified periodogram, the time of occurrence of earthquake is observed and it is noted that it is matching with the actual time of occurrence of event considered. Application/Improvement: This analysis aids in developing an early warning system for earthquakes.

Keywords

Atmospheric Sciences, Earthquakes, Global Positioning System, Statistical Signal Processing.
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