Proceedings of the International Conference on Promotion of Information Technology (ICPIT 2016)

Research on Seismic Wave Analysis Algorithm Based on HHT

Authors
Yabo Wang, Xiaoke Song, Wei Huang
Corresponding Author
Yabo Wang
Available Online August 2016.
DOI
10.2991/icpit-16.2016.9How to use a DOI?
Keywords
seismic wave, time frequency analysis, HHT
Abstract

The seismic signal is non-stationary signal, which needs to be introduced into the time frequency conversion method. EPAH is provided in this paper, which uses HHT to deal with the non-stationary seismic signal. The advantage of HHT using in processing non-stationary seismic signal is utilized in EPAH. Firstly, EMD is used to decompose the most significant information and energy of the seismic signal. Then, more low frequency information can be identified by spectrum conversion, so the relationship between time and frequency and power of seismic signal can be obtained. At last, the application of EPAH in time-frequency analyze is verified by matlab. It is shown that all kinds of feature of seismic signal can be obtained exactly.

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 International Conference on Promotion of Information Technology (ICPIT 2016)
Series
Advances in Computer Science Research
Publication Date
August 2016
ISBN
10.2991/icpit-16.2016.9
ISSN
2352-538X
DOI
10.2991/icpit-16.2016.9How 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  - Yabo Wang
AU  - Xiaoke Song
AU  - Wei Huang
PY  - 2016/08
DA  - 2016/08
TI  - Research on Seismic Wave Analysis Algorithm Based on HHT
BT  - Proceedings of the International Conference on Promotion of Information Technology (ICPIT 2016)
PB  - Atlantis Press
SP  - 47
EP  - 54
SN  - 2352-538X
UR  - https://doi.org/10.2991/icpit-16.2016.9
DO  - 10.2991/icpit-16.2016.9
ID  - Wang2016/08
ER  -