Wavelet Maxima Method for Identifying Singularities in Electromagnetic Signal

Bing Han, Ji Tang, Guoze Zhao, Yaxin Bi, Lifeng Wang, Yuanzhi Cheng

Research output: Contribution to journalArticle

2 Citations (Scopus)

Abstract

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.
LanguageEnglish
Pages765-779
JournalSeismology and Geology
Volume37
Issue number3
DOIs
Publication statusPublished - 20 Sep 2015

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wavelet
earthquake
data mining
transform
method
anomaly

Keywords

  • Wavelet
  • Singularity
  • Data mining
  • Earthquake

Cite this

Han, Bing ; Tang, Ji ; Zhao, Guoze ; Bi, Yaxin ; Wang, Lifeng ; Cheng, Yuanzhi. / Wavelet Maxima Method for Identifying Singularities in Electromagnetic Signal. In: Seismology and Geology. 2015 ; Vol. 37, No. 3. pp. 765-779.
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Wavelet Maxima Method for Identifying Singularities in Electromagnetic Signal. / Han, Bing; Tang, Ji; Zhao, Guoze; Bi, Yaxin; Wang, Lifeng; Cheng, Yuanzhi.

In: Seismology and Geology, Vol. 37, No. 3, 20.09.2015, p. 765-779.

Research output: Contribution to journalArticle

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AU - Han, Bing

AU - Tang, Ji

AU - Zhao, Guoze

AU - Bi, Yaxin

AU - Wang, Lifeng

AU - Cheng, Yuanzhi

PY - 2015/9/20

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AB - 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.

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KW - Singularity

KW - Data mining

KW - Earthquake

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JO - Seismology and Geology

T2 - Seismology and Geology

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