Random Noise Reduction Based on Ensemble Empirical Mode Decomposition and Wavelet Threshold Filtering
2012 ◽
Vol 518-523
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pp. 3887-3890
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Keyword(s):
This paper presents a random noise reduction method based on ensemble empirical mode decomposition (EEMD) and wavelet threshold filtering. Firstly, we have conducted spectrum analysis and analyzed the frequency band range of effective signals and noise. Secondly, we make use of EEMD method on seismic signals to obtain intrinsic mode functions (IMFs) of each trace. Then, wavelet threshold noise reduction method is used on the high frequency IMFs of each trace to obtain new high frequency IMFs. Finally, reconstruct the desired signal by adding the new high frequency IMFs on the low frequency IMFs and the trend item together. When applying our method on synthetic seismic record and field data we can get good results.
2011 ◽
Vol 03
(04)
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pp. 483-491
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2017 ◽
Vol 14
(4)
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pp. 888-898
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2021 ◽
2012 ◽
Vol 04
(04)
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pp. 1250024
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2013 ◽
Vol 300-301
◽
pp. 344-350
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2010 ◽
Vol 55
(4)
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pp. 193-201
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2022 ◽
Vol 168
◽
pp. 108659