Random noise attenuation by
empirical mode decomposition predictive filtering
Appendix A: Sifting algorithm
Chen & Ma: EMD
Bekara, M., and M. van der Baan, 2007, Local singular value decomposition for signal enhancement of seismic data: Geophysics,
----, 2009, Random and coherent noise attenuation by empirical mode decomposition: Geophysics,
Cai, H., Z. He, and D. Huang, 2011, Seismic data denoising based on mixed time-frequency methods: Applied Geophysics,
Canales, L., 1984, Random noise reduction: SEG expanded abstracts:54th Annual international meeting, 525-527.
Fomel, S., and Y. Liu, 2010, Seislet transform and seislet frame: Geophysics,
Gao, J., J. Mao, W. Chen, and Q. Zheng, 2006, On the denoising method of prestack seismic data in wavelet domain: Chinese J. Geophys,
Guo, J., X. Zhou, and H. Yang, 1995, Attenuation of random noise in
domain: Oil Geophysical Prospecting,
Harris, P., and R. White, 1997, Improving the performance of f-x prediction at low signal-to-noise ratios: Geophysical Prospecting,
Huang, N. E., Z. Shen, S. R. Long, M. C. Wu, H. H. Shih, Q. Zheng, N.-C. Yen, C. C. Tung, and H. H. Liu, 1998, The empirical mode decomposition and the Hilbert spectrum for nonlinear and non-stationary time series analysis: Proceeding of the Royal Society of London Series A,
Kang, Y., C. Yu, W. Jia, and C. Wang, 2003, A study on noise-suppression method in f-x domain: Oil Geophysical Prospecting,
Kopecky, M., 2010, Ensemble empirical mode decomposition: Image data analysis with white-noise reflection: Acta Polytechnica,
Kopsinis, Y., 2009, Development of EMD-based denoising methods inspired by wavelet thresholding: Signal Processing, IEEE Transactions on,
, 1351 - 1362.
Liu, C., H. Li, C. Tao, Y. Liu, D. Wang, and C. Gu, 2007, A new fuzzy nesting multilevel median filter and its application to seismic data processing: Chinese J. Geophysics,
Liu, G., X. Chen, J. Du, and J. Song, 2011, Seismic noise attenuation using nonstationary polynomial fitting: Applied Geophysics,
Liu, G., S. Fomel, L. Jin, and X. Chen, 2009a, Stacking seismic data using local correlation: Geophysics,
Liu, Y., S. Fomel, C. Liu, D. Wang, G. Liu, and X. Feng, 2009b, High-order seislet transform and its application of random noise attenuation: Chinese J. Geophysics,
Liu, Z., X. Chen, and J. Li, 2009c, Noncasual spatial prediction filtering based on an ARMA model: Applied Geophysics,
Mao, Y., and P. Que, 2007, Noise suppression and flawdetection of ultrasonic signals via empirical mode decomposition: Rus. J. Nondestruct. Test.,
Mayne, W., 1962, Common reflection point horizontal data stacking techniques: Geophysics,
Neelamani, R., A. Baumstein, D. Gillard, M. Hadidi, and W. Soroka, 2008, Coherent and random noise attenuation using the curvelet transform: The Leading Edge,
Sacchi, M. D., 2008, http://seismic-lab.physics.ualberta.ca/: SeismicLab.
Su, G., X. Zhou, and C. Li, 1998, Prediction noise elimination in
domain: Oil Geophysical Prospecting,
Torres, M. E., M. A. Colominas, G. Schlotthauer, and P. Flandrin, 2011, A complete ensemble empirical mode decomposition with adaptive noise: IEEE International Conference on Acoustics, Speech and Signal Proces- sing (ICASSP), 4144-4147.
Tufts, D., and R. Kumaresan, 1980, Estimation of frequencies of multiple sinusoids: Making linear prediction perform like maximum likelihood: Proceedings of the IEEE,
Wu, Z., and N. E. Huang, 2009, Ensemble empirical mode decomposition: A noise-assisted data analysis method: Advances in Adaptive Data Analysis,
Yilmaz, O., 2001, Seismic data analysis: Processing, inversion, and interpretation of seismic data: Soc. Expl. Geophys.
Zhang, R., and T. Ulrych, 2003, Physical wavelet frame denoising: Geophysics,
Zhong, W., B. Yang, and Z. Zhang, 2006, Research on application of polynomial fitting technique in highly noisy seismic data: Progress in Geophysics,