Analysis of Seismic Signal using Maximum Entropy Method
K. Himaja1, K. S. Ramesh2, S.Koteswara Rao3
1K. Himaja, Student, Department of Electronics and Communication Engineering, KL Deemed to Be University, Vaddeswaram (A.P), India.
2Dr. K. S. Ramesh, Professor, Department of Electronics and Communication Engineering, KL Deemed to Be University, Vaddeswaram (A.P), India.
3Dr. S. Koteswara Rao, Professor, Department of Electronics and Communication Engineering, KL Deemed to Be University, Vaddeswaram (A.P), India.
Manuscript received on 05 February 2019 | Revised Manuscript received on 13 February 2019 | Manuscript published on 28 February 2019 | PP: 247-251 | Volume-8 Issue-4, February 2019 | Retrieval Number: D2730028419/19©BEIESP
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Seismogenic disturbances are unpredictable hard knocks and are inevitable in nature. Earthquakes are one of the major seismic disturbances that are generated due to the sudden movement of the tectonic plates resulting in great loss to humanity. During the earthquake, abnormal energy is suddenly emanated into the earth’s lithosphere thereby generating the seismic waves. Seismic signals thus generated travel through the earth layers and are highly combined with locally generated noise. The noise thus associated with seismic signals can be eliminated using FIR based band pass filter. In this paper an attempt is made to apply Maximum Entropy Method for deriving the frequency components of the seismic signals, for which the power spectrum of the seismic signals is analyzed.
Keyword: Adaptive Signal Processing, Applied Statistics, Maximum Entropy Method, Seismology, Stochastic Signal Processing.
Scope of the Article: Signal Control System & Processing