Please use this identifier to cite or link to this item: http://repository.elizadeuniversity.edu.ng/jspui/handle/20.500.12398/628
Title: Singular Value Decomposition (SVD) Based Orthogonal Transform Approach for Earth's Electric Field Signal Processing
Authors: Astuti, W.
Salami, Momoh-Jimoh E.
Akmeliawati, R.
Sediono, W.
Keywords: Singular value decomposition
Computers
Abstracts
Earth
Electric fields
Parametric statistics
Transforms
Issue Date: 23-Sep-2014
Publisher: IEEE
Citation: Astuti, W., Salami, M. J. E., Akmeliawati, R., & Sediono, W. (2014, September). Singular Value Decomposition (SVD) Based Orthogonal Transform Approach for Earth's Electric Field Signal Processing. In 2014 International Conference on Computer and Communication Engineering (pp. 84-87). IEEE.
Abstract: 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.
URI: 10.1109/ICCCE.2014.35
http://repository.elizadeuniversity.edu.ng/jspui/handle/20.500.12398/628
Appears in Collections:Research Articles



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