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

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: Conference or Workshop Item
Language:English
Published: 2012
Subjects:
TK7885 Computer engineering
Online Access:http://irep.iium.edu.my/28552/
http://irep.iium.edu.my/28552/
http://irep.iium.edu.my/28552/1/p.wsediono.isiea.371-astuti.pdf
id iium-28552
recordtype eprints
spelling iium-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 Conference or Workshop Item 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/
repository_type Digital Repository
institution_category Local University
institution International Islamic University Malaysia
building IIUM Repository
collection Online Access
language English
topic TK7885 Computer engineering
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
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.
format Conference or Workshop Item
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
title 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_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_sort adaptive short time fourier transform (stft) analysis of seismic electric signal (ses): a comparison of hamming and rectangular window
publishDate 2012
url http://irep.iium.edu.my/28552/
http://irep.iium.edu.my/28552/
http://irep.iium.edu.my/28552/1/p.wsediono.isiea.371-astuti.pdf
first_indexed 2018-09-07T05:07:26Z
last_indexed 2018-09-07T05:07:26Z
_version_ 1610924002468954112

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