Desert seismic random noise reduction framework based on improved PSO–SVM
Author:
Funder
National Natural Science Foundation of China
Publisher
Springer Science and Business Media LLC
Subject
Geology,Geophysics,Building and Construction
Link
http://link.springer.com/content/pdf/10.1007/s40328-019-00283-3.pdf
Reference24 articles.
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2. Bekara M, Baan M (2009) Random and coherent noise attenuation by empirical mode decomposition. Geophysics 74:89–98
3. Bui Quang P, Gaillard P, Cano Y, Ulzibat M (2015) Detection and classification of seismic events with progressive multi-channel correlation and hidden Markov models. Comput Geosci 83:110–119
4. Dan Z, Yue L, Chao Z (2016) Automatic time picking for microseismic data based on a fuzzy C-means clustering algorithm. IEEE Geosci Remote Sens Lett 13:1900–1904
5. Deng XY, Yang DH, Yang BJ (2008) LS-SVR with variant parameters and its practical applications for seismic prospecting data denoising. In: IEEE international symposium on industrial electronics, pp 1060–1063
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