Please use this identifier to cite or link to this item:
http://repository.elizadeuniversity.edu.ng/jspui/handle/20.500.12398/608
Title: | Adaptive Short Time Fourier Transform (STFT) Analysis of seismic electric signal (SES): A comparison of Hamming and rectangular window |
Authors: | Astuti, W. Sediono, W. Aibinu, A. M. Akmeliawati, R. Salami, Momoh-Jimoh E. |
Keywords: | Seismic electric signal (SES) Adaptive STFT Hamming window Rectangular window |
Issue Date: | 23-Sep-2012 |
Publisher: | IEEE |
Citation: | Astuti, 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. |
Abstract: | Seismic 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. |
URI: | 10.1109/ISIEA.2012.6496663 http://repository.elizadeuniversity.edu.ng/jspui/handle/20.500.12398/608 |
Appears in Collections: | Research Articles |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
Adaptive Short Time Fourier Transform (STFT) Analysis of seismic electric signal (SES)_A comparison of Hamming and rectangular window.pdf | Abstract | 264.17 kB | Adobe PDF | View/Open |
Items in EUSpace are protected by copyright, with all rights reserved, unless otherwise indicated.