Singular Value Decomposition (SVD)-based orthogonal transform approach for earth’s electric field signal processing

The Earth’s electric field signal is generated from the released energy through a sudden dislocation of the segment in the earth’s crust. Many researchers have reported the use of parametric modeling technique for earth’s electric field signal processing. The existing earth’s electric signal...

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Main Authors:	Astuti, Winda, Salami, Momoh Jimoh Emiyoka, Akmeliawati, Rini, Sediono, Wahju
Format:	Conference or Workshop Item
Language:	English English
Published:	2014
Subjects:	TK7885 Computer engineering
Online Access:	http://irep.iium.edu.my/38531/ http://irep.iium.edu.my/38531/ http://irep.iium.edu.my/38531/1/38531.pdf http://irep.iium.edu.my/38531/4/38531_Singular%20Value%20Decomposition_Scopus.pdf

id	iium-38531
recordtype	eprints
spelling	iium-385312017-09-20T02:34:23Z http://irep.iium.edu.my/38531/ Singular Value Decomposition (SVD)-based orthogonal transform approach for earth’s electric field signal processing Astuti, Winda Salami, Momoh Jimoh Emiyoka Akmeliawati, Rini Sediono, Wahju TK7885 Computer engineering The Earth’s electric field signal is generated from the released energy through a sudden dislocation of the segment in the earth’s crust. Many researchers have reported the use of parametric modeling technique for earth’s electric field signal processing. The existing earth’s electric signal processing based on parametric modeling technique has suffered from the noise. Therefore, the effective earth’s electric field signal processing is necessary in order to process the signal with better performance for the identification. Singular value decomposition (SVD) -based parametric modeling technique is applied as feature extraction technique to the Earth’s electric field signal. The projection of excitation signal on the right eigenvector of the LPC filter impulse response matrix is involved in this technique. The combination of SVD-based parametric modeling technique has perfectly classified the significant Earth’s electric field data prior to the earthquake and the Earth’s electric field data on the normal condition after the polynomial kernel function is applied. 2014-09 Conference or Workshop Item PeerReviewed application/pdf en http://irep.iium.edu.my/38531/1/38531.pdf application/pdf en http://irep.iium.edu.my/38531/4/38531_Singular%20Value%20Decomposition_Scopus.pdf Astuti, Winda and Salami, Momoh Jimoh Emiyoka and Akmeliawati, Rini and Sediono, Wahju (2014) Singular Value Decomposition (SVD)-based orthogonal transform approach for earth’s electric field signal processing. In: 5th International Conference on Computer & Communication Engineering 2014 (ICCCE 2014), 23rd-25th September 2014, Kuala Lumpur. http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=7031606&tag=1
repository_type	Digital Repository
institution_category	Local University
institution	International Islamic University Malaysia
building	IIUM Repository
collection	Online Access
language	English English
topic	TK7885 Computer engineering
spellingShingle	TK7885 Computer engineering Astuti, Winda Salami, Momoh Jimoh Emiyoka Akmeliawati, Rini Sediono, Wahju Singular Value Decomposition (SVD)-based orthogonal transform approach for earth’s electric field signal processing
description	The Earth’s electric field signal is generated from the released energy through a sudden dislocation of the segment in the earth’s crust. Many researchers have reported the use of parametric modeling technique for earth’s electric field signal processing. The existing earth’s electric signal processing based on parametric modeling technique has suffered from the noise. Therefore, the effective earth’s electric field signal processing is necessary in order to process the signal with better performance for the identification. Singular value decomposition (SVD) -based parametric modeling technique is applied as feature extraction technique to the Earth’s electric field signal. The projection of excitation signal on the right eigenvector of the LPC filter impulse response matrix is involved in this technique. The combination of SVD-based parametric modeling technique has perfectly classified the significant Earth’s electric field data prior to the earthquake and the Earth’s electric field data on the normal condition after the polynomial kernel function is applied.
format	Conference or Workshop Item
author	Astuti, Winda Salami, Momoh Jimoh Emiyoka Akmeliawati, Rini Sediono, Wahju
author_facet	Astuti, Winda Salami, Momoh Jimoh Emiyoka Akmeliawati, Rini Sediono, Wahju
author_sort	Astuti, Winda
title	Singular Value Decomposition (SVD)-based orthogonal transform approach for earth’s electric field signal processing
title_short	Singular Value Decomposition (SVD)-based orthogonal transform approach for earth’s electric field signal processing
title_full	Singular Value Decomposition (SVD)-based orthogonal transform approach for earth’s electric field signal processing
title_fullStr	Singular Value Decomposition (SVD)-based orthogonal transform approach for earth’s electric field signal processing
title_full_unstemmed	Singular Value Decomposition (SVD)-based orthogonal transform approach for earth’s electric field signal processing
title_sort	singular value decomposition (svd)-based orthogonal transform approach for earth’s electric field signal processing
publishDate	2014
url	http://irep.iium.edu.my/38531/ http://irep.iium.edu.my/38531/ http://irep.iium.edu.my/38531/1/38531.pdf http://irep.iium.edu.my/38531/4/38531_Singular%20Value%20Decomposition_Scopus.pdf
first_indexed	2023-09-18T20:55:22Z
last_indexed	2023-09-18T20:55:22Z
_version_	1777410267798306816

Singular Value Decomposition (SVD)-based orthogonal transform approach for earth’s electric field signal processing

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