| Issue |
ITM Web Conf.
Volume 25, 2019
2018 3rd International Conference on Intelligent Computing and Cognitive Informatics (ICICCI 2018)
|
|
|---|---|---|
| Article Number | 01014 | |
| Number of page(s) | 3 | |
| Section | Intelligent Computing | |
| DOI | https://doi.org/10.1051/itmconf/20192501014 | |
| Published online | 01 February 2019 | |
A Seismic Signal Denoising Method Based on Wavelet Comprehensive Threshold
Institute of Disaster Prevention, Vibration Key Laboratory of Precision Measurement Technology and Instrument 065201, China
a Corresponding author: 1009278271@qq.com
The wavelet comprehensive threshold is used to inherit and develop the advantages of hard threshold and soft threshold denoised method. Based on the small wavelet coefficients of the noise signal and the large wavelet coefficients of the seismic signal, the simulation experiment of the Ricker signal and the noise reduction experiment is carried out. The simulation results show that the MSE of the wavelet comprehensive threshold is the closest to the original signal waveform after noise reduction, and the energy of the high frequency part of the waveform is reduced and the low frequency part is suppressed. Finally, the actual seismic waveform, for example, the noise reduction of the actual waveform can be the first time of the waveform, and the waveform of the effective signal energy, noise signal energy is suppressed.
© The Authors, published by EDP Sciences, 2019
This is an open access article distributed under the terms of the Creative Commons Attribution License 4.0 (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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