Proceedings of the 2016 4th International Conference on Machinery, Materials and Computing Technology

Analysis of Earth Gravity Tide Signal Based on EMD and Information Extraction

Authors
Dongjun Zhong, Haiyan Quan
Corresponding Author
Dongjun Zhong
Available Online March 2016.
DOI
10.2991/icmmct-16.2016.163How to use a DOI?
Keywords
Empirical Mode Decomposition, the earth gravity tide signal, information.
Abstract

Empirical Mode Decomposition (EMD) is a decomposition algorithm which is used to analyze nonlinear and time-varying. Different from the traditional signal analysis method, the decomposition is data-driven and self-adaptive. EMD has been widely used in blind source separation and received attention because of its potential application in signal processing. EMD algorithm and its application in earth gravity tide signal are introduced. EMD is a potential method in the earth gravity tide signal. So we can extract useful information from it to understand earthquake precursors.

Copyright
© 2016, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 2016 4th International Conference on Machinery, Materials and Computing Technology
Series
Advances in Engineering Research
Publication Date
March 2016
ISBN
10.2991/icmmct-16.2016.163
ISSN
2352-5401
DOI
10.2991/icmmct-16.2016.163How to use a DOI?
Copyright
© 2016, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Dongjun Zhong
AU  - Haiyan Quan
PY  - 2016/03
DA  - 2016/03
TI  - Analysis of Earth Gravity Tide Signal Based on EMD and Information Extraction
BT  - Proceedings of the 2016 4th International Conference on Machinery, Materials and Computing Technology
PB  - Atlantis Press
SP  - 835
EP  - 839
SN  - 2352-5401
UR  - https://doi.org/10.2991/icmmct-16.2016.163
DO  - 10.2991/icmmct-16.2016.163
ID  - Zhong2016/03
ER  -