Proceedings of the 2017 5th International Conference on Machinery, Materials and Computing Technology (ICMMCT 2017)

Research on Applications of CurveletThreshold in Seismic Signal Denoising

Authors
Hui Yang, Hua Zhang
Corresponding Author
Hui Yang
Available Online April 2017.
DOI
10.2991/icmmct-17.2017.266How to use a DOI?
Keywords
curvelet threshold, curvelet transformation,seismic signal denoising
Abstract

The seismic signal denoising is to extract useful information from seismic data, remove interference noise and improve the signal-noise ratio to lay the foundation of subsequent treatment of the seismic data. The paper gives the basic principles of the curvelet transformation and puts forward the method of reducing the noise in the seismic signal by using the curvelet threshold. Finally, the paper gives a practical example of denoising the seismic signal to provide some references for the relative teachers.

Copyright
© 2017, 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 2017 5th International Conference on Machinery, Materials and Computing Technology (ICMMCT 2017)
Series
Advances in Engineering Research
Publication Date
April 2017
ISBN
10.2991/icmmct-17.2017.266
ISSN
2352-5401
DOI
10.2991/icmmct-17.2017.266How to use a DOI?
Copyright
© 2017, 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  - Hui Yang
AU  - Hua Zhang
PY  - 2017/04
DA  - 2017/04
TI  - Research on Applications of CurveletThreshold in Seismic Signal Denoising
BT  - Proceedings of the 2017 5th International Conference on Machinery, Materials and Computing Technology (ICMMCT 2017)
PB  - Atlantis Press
SP  - 1386
EP  - 1391
SN  - 2352-5401
UR  - https://doi.org/10.2991/icmmct-17.2017.266
DO  - 10.2991/icmmct-17.2017.266
ID  - Yang2017/04
ER  -