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Wavelet Maxima Method for Identifying Singularities in Electromagnetic Signal

Han, Bing, Tang, Ji, Zhao, Guoze, Bi, Yaxin, Wang, Lifeng and Cheng, Yuanzhi (2015) Wavelet Maxima Method for Identifying Singularities in Electromagnetic Signal. Seismology and Geology, 37 (3). pp. 765-779. [Journal article]

[img] Text - Published Version

DOI: 10.3969/j.isn.0253-4967.2015.03.008


Wavelet maxima method as a kind of data mining method has been applied to earthquake study, which gives us a direct way to identify singularities of different time and frequencies in long term of observations. This paper introduces how to identify electromagnetic anomalies using the wavelet maxima, i.e. the wavelet coefficients are calculated by using continuous wavelet transform and then calculate the maximum value of wavelet coefficients in each scale and identify the singularities associated with the earthquake.

Item Type:Journal article
Keywords:Wavelet, Singularity, Data mining, Earthquake
Faculties and Schools:Faculty of Computing & Engineering
Faculty of Computing & Engineering > School of Computing and Mathematics
Research Institutes and Groups:Computer Science Research Institute
Computer Science Research Institute > Artificial Intelligence and Applications
ID Code:38941
Deposited By: Dr Yaxin Bi
Deposited On:16 Nov 2017 15:27
Last Modified:16 Nov 2017 15:27

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