Adaptive Short Time Fourier Transform (STFT) Analysis of seismic electric signal (SES): A comparison of Hamming and rectangular window

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dc.contributor.authorAstuti, W.
dc.contributor.authorSediono, W.
dc.contributor.authorAibinu, A. M.
dc.contributor.authorAkmeliawati, R.
dc.contributor.authorSalami, Momoh-Jimoh E.
dc.date.accessioned2019-10-24T13:43:55Z
dc.date.available2019-10-24T13:43:55Z
dc.date.issued2012-09-23
dc.description.abstractSeismic electric signal (SES) is one of features for predicting earthquakes (EQs) because of its significant changes in the amplitude of the signal prior to the earthquake. This paper presents detailed analysis of SES recorded prior to earthquake that occurred in Greece in the period from January 1, 2008 to June 30, 2008. During this period of time 5 earthquakes were recorded with magnitudes greater than 6R. In this analysis STFT involving adaptively sliding window technique is used, in which Hamming and rectangular window functions are applied and compared. The comparison shows that Hamming window gives better results in analyzing the first significantly changes of SES prior to the EQ. The application of Hamming window resulted in less rippled spectrum shape which is more suitable to be used in characterizing the SES.en_US
dc.identifier.citationAstuti, W., Sediono, W., Aibinu, A. M., Akmeliawati, R., & Salami, M. J. E. (2012, September). Adaptive Short Time Fourier Transform (STFT) Analysis of seismic electric signal (SES): A comparison of Hamming and rectangular window. In 2012 IEEE Symposium on Industrial Electronics and Applications (pp. 372-377). IEEE.en_US
dc.identifier.uri10.1109/ISIEA.2012.6496663
dc.identifier.urihttp://repository.elizadeuniversity.edu.ng/handle/20.500.12398/608
dc.language.isoenen_US
dc.publisherIEEEen_US
dc.subjectSeismic electric signal (SES)en_US
dc.subjectAdaptive STFTen_US
dc.subjectHamming windowen_US
dc.subjectRectangular windowen_US
dc.titleAdaptive Short Time Fourier Transform (STFT) Analysis of seismic electric signal (SES): A comparison of Hamming and rectangular windowen_US
dc.typeArticleen_US
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