全部 标题 作者
关键词 摘要

OALib Journal期刊
ISSN: 2333-9721
费用:99美元

查看量下载量

相关文章

更多...

地震资料中随机强噪声压制——时频峰值滤波

, PP. 1123-1131

Keywords: 随机强噪声,时频峰值滤波,零漂,局部线性化

Full-Text   Cite this paper   Add to My Lib

Abstract:

?时频峰值滤波对于地震资料中随机强噪声具有高效的压制能力.针对实际地震资料其平稳高斯白噪假设无法满足的现实,结合理论证明与合成地震资料检测,认识到时频峰值滤波后对不同强度的白、色噪声均具有很强的压制能力,但存在有效信号“零漂”现象,这种“零漂”现象与随机噪声平均功率和方差无关,却与均值有关.进而考虑实际地震资料中局部线性化不绝对满足的情况,以三角波为例研究了时频峰值滤波后有效信号的波形“变形”特征,发现有效三角波信号可能存在频带过补偿现象,且这种过补偿现象具有非对称性并与时变曲率密切相关.这些结果为进一步完善时频峰值滤波指明了方向.

References

[1]  1 Zhang Z J, Lin Y H, Liu E R. Large static correction using a hybrid optimization method in complex terrain: Some experience learnt from China. J Seism Explor, 2005, 13: 337-352
[2]  2 张中杰. 多分量地震资料的各向异性处理和解释方法. 哈尔滨: 黑龙江教育出版社, 2002. 128
[3]  3 Duncan G, Beresford G. Median filter behavior with seismic data. Geophys Prospect, 1995, 43: 329-345
[4]  4 Yuan S Q, Tan Y H. The solutions of equation-based noise detector for an adaptive median filter. Pattern Recognit, 2006, 39: 2253-2257
[5]  8 Donoho D. De-noising by soft-thresholding. IEEE Trans Inf Technol, 1995, 3: 631-627
[6]  9 Zhang R F, Tadeusz J U. Physical wavelet frame denoising. Geophysics, 2003, 68: 225-231
[7]  10 杨立强, 宋海斌, 郝天珧, 等. 基于二维小波变换的随机噪声压制方法研究. 石油物探, 2005, 44: 4-6
[8]  11 Michael J. Edge preserving filtering on 3-D seismic data using complex wavelet transforms. SEG Technical Program Expanded Abstracts, 2006. 2872-2876
[9]  12 Liu C, Liu Y, Yang B J, et al. A 2D multistage median filter to reduce random seismic noise. Geophysics, 2006, 71: 105-110
[10]  13 李月, 杨宝俊, 袁野, 等. 混沌振子检测系统的弱有效地震信号检测能力. 科学通报. 2006, 51: 1710-1716
[11]  14 Chen Y, Zhang Z J, Tian X B. Complex polarization analysis based on Windowed Hilbert transform and its application. Chin J Geophys, 2005, 48: 889-895
[12]  15 Felix J H, Wang D L, Gilles H, et al. Curvelet-based seismic data processing: A multiscale and nonlinear approach. Geophysics, 2008, 73: A1-A5
[13]  16 Deng X Y, Yang D H, Peng J M, et al. Noise reduction and drift removal using least squares support vector regression with implicit bias term. Geophysics, 2010, 75: 119-127
[14]  17 邓小英, 杨顶辉, 刘涛, 等. 最小二乘支持向量回归滤波系统性能分析. 地球物理学报, 2010, 53: 2004-2011
[15]  18 Deng X Y, Yang D H, Liu T, et al. Study of least squares support vector regression filtering technology with a new 2D Ricker wavelet kernel. J Seism Explor, 2011, 20: 161-176
[16]  19 Boashash B, Mesbah M. Signal enhancement by time-frequency peak filtering. IEEE Trans Signal Proc, 2004, 52: 929-937
[17]  20 Lin H B, Li Y, Yang B J. Recovery of seismic event by time-frequency peak filtering. Proceedings of IEEE International Conference on Image Processing, Sep 16-19. San Antonio, USA, 2007. V: 441-444
[18]  21 Zhang Z J, Wang G J, Harris J M. Multicomponent wavefield simulation in viscous extensively dilatancy anisotropic media. Phys Earth Planet Inter, 1999, 114: 25-38
[19]  22 张贤达. 现代信号处理. 北京: 清华大学出版社, 2003. 58
[20]  5 Lu W K, Zhang W P, Liu D Q. Local linear coherent noise attenuation based on local polynomial approximation. Geophysics, 2006, 71: 163-169
[21]  6 Lu W K. Adaptive noise attenuation of seismic images based on singular value decomposition and texture direction detection. J Geophys Eng, 2006, 3: 28-34
[22]  7 Maiza B, Mirko V D B. Local singular value decomposition for signal enhancement of seismic data. Geophysics, 2007, 72: 59-65

Full-Text

Contact Us

service@oalib.com

QQ:3279437679

WhatsApp +8615387084133