Adaptive Short Time Fourier Transform (STFT) analysis of Seismic Electric Signal (SES): A comparison of hamming and rectangular window

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,...

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Main Authors: Astuti , Winda, Sediono , Wahju, Aibinu, A. M., Akmeliawati, Rini, Salami, Momoh Jimoh Eyiomika
Format: Proceeding Paper
Language:English
Published: 2012
Subjects:
Online Access:http://irep.iium.edu.my/28552/1/p.wsediono.isiea.371-astuti.pdf
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author Astuti , Winda
Sediono , Wahju
Aibinu, A. M.
Akmeliawati, Rini
Salami, Momoh Jimoh Eyiomika
author_facet Astuti , Winda
Sediono , Wahju
Aibinu, A. M.
Akmeliawati, Rini
Salami, Momoh Jimoh Eyiomika
author_sort Astuti , Winda
collection IIUM
description 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.
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spelling oai:generic.eprints.org:285522013-02-19T06:18:34Z http://irep.iium.edu.my/28552/ Adaptive Short Time Fourier Transform (STFT) analysis of Seismic Electric Signal (SES): A comparison of hamming and rectangular window Astuti , Winda Sediono , Wahju Aibinu, A. M. Akmeliawati, Rini Salami, Momoh Jimoh Eyiomika TK7885 Computer engineering 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. 2012 Proceeding Paper PeerReviewed application/pdf en http://irep.iium.edu.my/28552/1/p.wsediono.isiea.371-astuti.pdf Astuti , Winda and Sediono , Wahju and Aibinu, A. M. and Akmeliawati, Rini and Salami, Momoh Jimoh Eyiomika (2012) 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 (ISIEA2012), September 23-26, 2012, Bandung, Indonesia. http://www.isiea.org/2012/
spellingShingle TK7885 Computer engineering
Astuti , Winda
Sediono , Wahju
Aibinu, A. M.
Akmeliawati, Rini
Salami, Momoh Jimoh Eyiomika
Adaptive Short Time Fourier Transform (STFT) analysis of Seismic Electric Signal (SES): A comparison of hamming and rectangular window
title Adaptive Short Time Fourier Transform (STFT) analysis of Seismic Electric Signal (SES): A comparison of hamming and rectangular window
title_full Adaptive Short Time Fourier Transform (STFT) analysis of Seismic Electric Signal (SES): A comparison of hamming and rectangular window
title_fullStr Adaptive Short Time Fourier Transform (STFT) analysis of Seismic Electric Signal (SES): A comparison of hamming and rectangular window
title_full_unstemmed Adaptive Short Time Fourier Transform (STFT) analysis of Seismic Electric Signal (SES): A comparison of hamming and rectangular window
title_short Adaptive Short Time Fourier Transform (STFT) analysis of Seismic Electric Signal (SES): A comparison of hamming and rectangular window
title_sort adaptive short time fourier transform stft analysis of seismic electric signal ses a comparison of hamming and rectangular window
topic TK7885 Computer engineering
url http://irep.iium.edu.my/28552/1/p.wsediono.isiea.371-astuti.pdf
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