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: | , , , |
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| Format: | Conference or Workshop Item |
| Language: | English English |
| Published: |
2014
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| Subjects: | |
| Online Access: | http://irep.iium.edu.my/38531/1/38531.pdf http://irep.iium.edu.my/38531/4/38531_Singular%20Value%20Decomposition_Scopus.pdf http://irep.iium.edu.my/38531/ http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=7031606&tag=1 |
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| Summary: | 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. |
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