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Frequency-Energy Characteristics of Local Earthquakes using Discrete Wavelet Transform(DWT)
Abstract:The wavelet transform is one of the most important method used in signal processing. In this study, we have introduced frequency-energy characteristics of local earthquakes using discrete wavelet transform. Frequency-energy characteristic was analyzed depend on difference between P and S wave arrival time and noise within records. We have found that local earthquakes have similar characteristics. If frequency-energy characteristics can be found accurately, this gives us a hint to calculate P and S wave arrival time. It can be seen that wavelet transform provides successful approximation for this. In this study, 100 earthquakes with 500 records were analyzed approximately.
Digital Object Identifier (DOI): doi.org/10.5281/zenodo.1076050Procedia APA BibTeX Chicago EndNote Harvard JSON MLA RIS XML ISO 690 PDF
 O. Kulhanek, "Anatomy of Seismograms", Elsevier Science Publishers, Netherlands, (1990).
 U. F. Dowla, S. K. Anant, "Wavelet Transform Methods for Phase Identification in Three Component Seismograms", Bulletin of Seismological Society of America, Vol. 87, No. 6., pp. 1598-1612, December (1997).
 Z. Du, G. R. Foulger, F. Mao, "Noise reduction for Broad-band threecomponent seismograms using data-adaptive polarization Filters", Geophys. J. Int., 141, 820-828, (2000).
 P. J. Oonincx, "A Wavelet Method for Detecting S- waves in Seismic Data", Computational Geosciences 3, 11-134, (1999).
 A. Chakraborty, D. Okaya, "Frequency -Time Decompositions of Seismic Data Using Wavelet-Based Methods", Geophysics, Vol. 60, No. 6, 1906-1916, December (1995).
 J. C. Goswami, A. K. Chan, "Fundamentals of Wavelets Theory, Algorithm and Applications", John Wiley & Sons, USA, (1999).
 M. Misiti, Y. Misiti, G. Oppenheim, J. Poggi, "Wavelet Toolbox for use with MATLAB, User-s Guide", The Mathworks Inc., (1997-2002).
 C. Parameswariah, "Understanding Wavelet Analysis and Filters for Engineering Applications", PHd., College of Engineering and Science, Louisiana Tech University, May 2003.
 L. Angr─▒sani, M. Daponte, M. D-apuzzo, A. Testa, "A Measurement Method Based on The Wavelet Transform for Power Quality Analysis", IEEE Transactions on Power Delivery, Vol. 13, No.4, October (1998).
 R. G. Lyons, "Understanding Digital Signal Processing", Addison Wesley Inc., (1999).
 I. Daubechies, "Ten Lectures in Wavelets, Series in Applied Mathematics", Philadelphia, pp. 357, (1992).