Journal of Jilin University(Earth Science Edition) ›› 2015, Vol. 45 ›› Issue (1): 293-301.doi: 10.13278/j.cnki.jjuese.201501303
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Liu Cai1, Cui Fangzi1, Liu Yang1, Wang Dian1, Liu Dianmi2, Zhang Peng1
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| [1] 张波, 印兴耀, 吴国忱, 等.用小波分析和反演方法联合去除随机噪声的研究[J].石油地球物理勘探, 1999, 34(6):635-641. Zhang Bo, Yin Xingyao, Wu Guochen, et al. Random Noise Elimination Using Wavelet Analysis and Inversion[J]. Oil Geophysical Prospecting, 1999, 34(6):635-641.[2] 王典, 刘财, 刘洋, 等.基于提升算法和百分位数软阈值的小波去噪技术[J]. 地球物理学进展, 2008, 23(4):1124-1130. Wang Dian, Liu Cai, Liu Yang, et al. Application of Wavelet Transform Based on Lifting Scheme and Percentiles Soft Threshold to Elimination of Seismic Random Noise[J]. Progress in Geophysics, 2008, 23(4):1124-1130.[3] 樊计昌, 刘明军, 王夫运, 等.小波包节点域和空间域倾角扫描高阶相关去噪技术[J]. 石油地球物理勘探, 2009, 44(6):695-699. Fan Jichang, Liu Mingjun, Wang Fuyun, et al. Dip Scanning High Order Correlation Denoise Technique in Wavelet Packet Node Field and Space Domain[J]. Oil Geophysical Prospecting, 2009, 44(6):695-699.[4] Zhang Yi, Cheng Lizhi. A New Wavelet Denoising Method of Seismic Signals Based on a Recursive Optimal Thresholding[J]. Acta Scientiarum Naturalium Universitatis Nankaiensis, 2011, 4:14.[5] 王志强, 韩立国, 巩向博, 等. 起伏地表检波器组合响应[J]. 吉林大学学报:地球科学版, 2014, 44(2):694-703. WangZhiqiang, HanLiguo, GongXiangbo, etal.GeophoneArrayResponseonUndulatingSurface[J].JournalofJilinUniversity:EarthScienceEdition, 2014, 44(2):694-703.[6] Chauris H, Nguyen T. Seismic Demigration/Migration in the Curvelet Domain[J]. Geophysics, 2008, 73(2):35-46.[7] Herrmann F J, Wang D, Hennenlent G, et al. Curvelet-Based Seismic Data Processing:A Multiscale and Nonlinear Approach[J]. Geophysics, 2008, 73(1):1-5.[8] Pennec E L, Mallat S. Sparse Geometric Image Representation with Bandelets[J]. IEEE Trans Image Process, 2005, 14(4):423-438.[9] Do M N, Vetterli M. The Contourlet Transform:An Efficient Directional Multiresolution Image Representation[J]. IEEE Trans Process, 2005, 14(12):2091-2106.[10] Starck J L, Candes E J, Donoho D L. The Curvelet Transform for Image Denoising[J]. IEEE Trans Image Process, 2002, 11(6):670-684.[11] Velisavljevic V. Directionlets:Anisotropic Multi-Directional Representation with Separable Filtering. Lausanne:Ecole Polytechnique Federale de Lausanne, 2005.[12] Fomel S. Towards the Seislet Transform[J]. SEG Extended Abstracts, 2006, 25(1):2847-2851.[13] Fomel S, Liu Y. Seislet Transform and Seislet Frame[J]. Geophysics, 2010, 75(3):25-38.[14] 刘洋, Fomel S, 刘财, 等.高阶Seislet变换及其在随机噪声消除中的应用[J].地球物理学报, 2009, 52(8):2142-2151. Liu Yang, Fomel S, Liu Cai, et al. High-Order Seislet Transform and Its Application of Random Noise Attenuation[J]. Chinese Journal of Geophysics, 2009, 52(8):2142-2151.[15] 张鹏, 陆文凯. 利用局部倾角的地震成像研究[C]//中国地球物理学会第二十六届年会、中国地震学会第十三次学术大会论文集. 宁波:中国地球物理学会, 中国地震学会, 2010. Zhang Peng, Lu Wenkai. Study of Seismic Imaging by Using Local Event Slopes[C]//Papers of the Twenty-Sixth Annual Meeting of Chinese Geophysical Society and the Thirteenth Academic Conference of Seismological Society of China. Ningbo:Chinese Geophysical Society, Seismological Society of China, 2010.[16] Fomel S. Applications of Plane-Wave Destruction Filter[J]. Geophysics, 2002, 67(6):1946-1960.[17] Bona A. Velocity-Less Migration Using Horizontal Slownesses[J]. EGU General Assembly, 2009, 11:EGU2009-3883.[18] Douma H. Leading-Order Seismic Imaging Using Curvelets[J]. Geophysics, 2007, 72(6):231-248.[19] Donoho D L, Johnstone J M. Ideal Spatial Adaptation by Wavelet Shrinkage[J]. Biometrika, 1994, 81(3):425-455.[20] Gao H Y, Bruce A G. WaveShrink with Firm Shrinkage[J]. Statistica Sinica, 1997, 7(4):855-874.[21] 李冲泥, 胡光锐.一种改进的子波域语音增强方法[J].通信学报, 1999, 20(4):88-91. Li Chongni, Hu Guangrui. A Modified Wavelet Domain Speech Enhancement Method[J]. Journal of China Institute of Communications, 1999, 20(4):88-91.[22] 许丽群.小波阈值去噪改进算法研究[J].电子测量技术, 2010, 33(8):43-45. Xu Liqun.Research of Improved Algorithm of De-Noising in Wavelet Threshold[J].Electronic Measurement Technology, 2010, 33(8):43-45.[23] 张新超. Seislet变换去除叠前线性干扰[D]. 成都:成都理工大学, 2009. Zhang Xinchao. Removal of Prestack Linear Noise by Seislet Transform[D]. Chengdu:Chengdu University of Technology, 2009.[24] Fomel S. Velocity-Independent Time-Domain Seismic Imaging Using Local Event Slopes[J]. Geophysics, 2007, 72(3):139-147.[25] Fomel S, Grechka V. Nonhyperbolic Reflection Moveout of P Waves:An Overview and Comparison of Reasons[M]. Golden:Center for Wave Phenomena Colorado School of Mines, 2001.[26] 邓玉娟.基于小波变换的语音阈值去噪算法研究[D].重庆:重庆大学, 2009. Deng Yujuan. Study of Threshold De-Noising Algorithm of Speech Signal Based on Wavelet Transformation[D]. Chongqing:Chongqing University, 2009.[27] 余晃晶.小波降噪阈值选取的研究[J].绍兴文理学院学报:自然科学版, 2004, 24(9):34-38. Yu Huangjing. Slection of a Wavelet Noise-Reduction Threshold[J]. Journal of Shaoxing University:Natural Science Edition, 2004, 24(9):34-38.[28] Claerbout, J F. Basic Earth Imaging:Stanford Exploration Project[EB/OL].[2012-10-10]. http://www. stanford. edu/sep/prof/. |
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