A New Ensemble Empirical Mode Decomposition (EEMD) Denoising Method for Seismic Signals

详细信息    查看全文

• 作者：Said Gaci ; ^{said_gaci@yahoo.com}
• 关键词：Empirical mode decomposition (EMD) ; Ensemble Empirical mode decomposition (EEMD) ; Discrete wavelet transform (DWT) ; seismogram
• 刊名：Energy Procedia
• 出版年：2016
• 出版时间：November 2016
• 年：2016
• 卷：97
• 期：Complete
• 页码：84-91
• 全文大小：366 K
• 卷排序：97

文摘

This paper suggests a new denoising technique based on the Ensemble Empirical mode decomposition (EEMD). This technique has been compared with the discrete wavelet transform (DWT) thresholding. Firstly, both methods have been implemented on synthetic signals with diverse waveforms (‘blocks’, ‘heavy sine’, ‘Doppler’, and ‘mishmash’). Secondly, the denoising methods have been applied on real seismic traces recorded in the Algerian Sahara. It is shown that the proposed technique outperforms the DWT thresholding. In conclusion, the EEMD technique can provide a powerful tool for denoising seismic signals.