Random noise attenuation by a selective hybrid approach using f-x empirical mode decomposition
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Bibliography
Abma, R., and J. Claerbout, 1995, Lateral prediction for noise attenuation by
and
techniques: Geophysics,
60
, 1887-1896.
Bekara, M., and M. van der Baan, 2009, Random and coherent noise attenuation by empirical mode decomposition: Geophysics,
74
, V89-V98.
Bonar, D., and M. Sacchi, 2012, Denoising seismic data using the nonlocal means algorithm: Geophysics,
77
, A5-A8.
Canales, L., 1984, Random noise reduction: 54th Annual International Meeting, SEG, Expanded Abstracts, 525-527.
Chen, W., S. Wang, Z. Zhang, and X. Chuai, 2012, Noise reduction based on wavelet threshold filtering and ensemble empirical mode decomposition: 82nd Annual International Meeting, SEG, Expanded Abstracts, 1-6.
Chen, Y., 2014, Deblending using a space-varying median filter: SEG expanded abstracts: 84th Annual international meeting, 82-87.
Chen, Y., S. Fomel, and J. Hu, 2014a, Iterative deblending of simultaneous-source seismic data using seislet-domain shaping regularization: Geophysics,
79
, V179-V189.
Chen, Y., T. Liu, and Y. Zhang, 2014b, Random noise attenuation by a hybrid approach using f-x empirical mode decomposition and multichannel singular spectrum analysis: 76th Annual International Conference and Exhibition, EAGE, Extended Abstracts, DOI: 10.3997/2214-4609.20141585.
Chen, Y., and J. Ma, 2014, Random noise attenuation by
f-x
emprical mode decomposition predictive filtering: Geophysics,
79
, V81-V91.
Chen, Y., J. Yuan, Z. Jin, K. Chen, and L. Zhang, 2014c, Deblending using normal moveout and median filtering in common-midpoint gathers: Journal of Geophysics and Engineering,
11
, 045012.
Chen, Y., C. Zhou, J. Yuan, and Z. Jin, 2014d, Application of empirical mode decomposition to random noise attenuation of seismic data: Journal of Seismic Exploration,
23
, 481-495.
Dong, L., Z. Li, and D. Wang, 2013, Curvelet threshold denoising joint with empirical mode decomposition: 83rd Annual International Meeting, SEG, Expanded Abstracts, 4412-4416.
Fomel, S., and Y. Liu, 2010, Seislet transform and seislet frame: Geophysics,
75
, V25-V38.
Fomel, S., P. Sava, I. Vlad, Y. Liu, and V. Bashkardin, 2013, Madagascar open-source software project: Journal of Open Research Software,
1
, e8.
Gao, J., J. Mao, W. Chen, and Q. Zheng, 2006, On the denoising method of prestack seismic data in wavelet domain: Chinese J. Geophys,
49
, 1155-1163.
Hennenfent, G., and F. Herrmann, 2006, Seismic denoising with nonunformly sampled curvelets: Computing in Science & Engineering,
8
, 16-25.
Herrera, R. H., J. B. Tary, and M. van der Baan, 2013, Time-frequency representation of microseismic signals using the synchrosqueezing transform: in Geoconvention, CSEG.
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,
454
, 903-995.
Liu, G., X. Chen, J. Du, and K. Wu, 2012, Random noise attenuation using
f-x
regularized nonstationary autoregression: Geophysics,
77
, V61-V69.
Neelamani, R., A. Baumstein, D. Gillard, M. Hadidi, and W. Soroka, 2008, Coherent and random noise attenuation using the curvelet transform: The Leading Edge,
27
, 240-248.
Oropeza, V., and M. Sacchi, 2011, Simultaneous seismic data denoising and reconstruction via multichannel singular spectrum analysis: Geophysics,
76
, V25-V32.
Wang, Y., 1999, Random noise attenuation using forward-backward linear prediction: Journal of Seismic Exploration,
8
, 133-142.
Yuan, S., and S. Wang, 2011, A local f-x cadzow method for noise reduction of seismic data obtained in complex formations: Petroleum Science,
8
, 269-277.
2015-11-23