基于离散余弦变换的地震随机噪声压制技术
|
摘要
本文在离散余弦变换(DCT)域中利用预测滤波器压制地震数据中随机噪声方法的基础上,进一步对该法的压噪能力进行了评估,表明与离散傅里叶变换相比,DCT变换能够利用更少的系数来表征地震信号,即具有更好的能量压缩性能,从而可以更好地分离信号和随机噪声,实现随机噪声的压制。人工合成数据和实际数据的实验结果也表明,与F-X域预测滤波技术相比,采用DCT压噪不仅效果好,而且能更好地保护有效波。
This paper proposes a seismic random noise suppression method using the predictive filter in the discrete cosine transform(DCT) domain,and then evaluates its performance.In comparison with the discrete Fourier transform(DFT),DCT can represent seismic signals with fewer coefficients,i.e.,DCT has superior energy compaction for seismic signal.That is why DCT can separate seismic signals from random noise better.The results from both synthetic and real data show that the proposed method achieves better performance for random noise suppression and signal preservation compared with the f-x prediction filter.
This paper proposes a seismic random noise suppression method using the predictive filter in the discrete cosine transform(DCT) domain,and then evaluates its performance.In comparison with the discrete Fourier transform(DFT),DCT can represent seismic signals with fewer coefficients,i.e.,DCT has superior energy compaction for seismic signal.That is why DCT can separate seismic signals from random noise better.The results from both synthetic and real data show that the proposed method achieves better performance for random noise suppression and signal preservation compared with the f-x prediction filter.
引文
[1]Ulrych TJ et al.Signal and noise separation:art andscience.Geophysics,1999,64(5):1648~1656
[2]Lu W K.Adaptive noise attenuation of seismic i ma-ges based on singular value decomposition and texturedirection detection.Journal of Geophysics and En-gineering,2006,3(1):28~34
[3]Abma R and Claerbout J.Lateral prediction fornoise attenuation byT-X and F-Xtechniques.Geo-physics,1995,60(6):1887~1896
[4]Canales L L.Random noise reduction.SEG Techni-cal Program Expanded Abstracts,1984,3:525~527
[5]Gulunay N.FXDECON and complex Wiener predic-tion filter.SEG Technical Program Expanded Ab-stracts,1986,5:279~281
[6]Treitel S.The complex Wiener filter.Geophysics,1974,39(2):169~173
[7]Gonzalez R C and Woods R E.Digital Image Pro-cessing.Pearson Education North Asia Li mited,2002
[8]Soon I Yet al.Noisy speech enhancement using dis-crete cosine transform.Speech Communication,1998,24(3):249~257
[9]Lu WK.Randomnoise suppression based on discretecosine transform.SEG Technical Program Expand-ed Abstracts,2007,26:2668~2671
[10]Ahmed Net al.Discrete cosine transform.IEEETrans Comput,1974,C-23(1):90~93
[2]Lu W K.Adaptive noise attenuation of seismic i ma-ges based on singular value decomposition and texturedirection detection.Journal of Geophysics and En-gineering,2006,3(1):28~34
[3]Abma R and Claerbout J.Lateral prediction fornoise attenuation byT-X and F-Xtechniques.Geo-physics,1995,60(6):1887~1896
[4]Canales L L.Random noise reduction.SEG Techni-cal Program Expanded Abstracts,1984,3:525~527
[5]Gulunay N.FXDECON and complex Wiener predic-tion filter.SEG Technical Program Expanded Ab-stracts,1986,5:279~281
[6]Treitel S.The complex Wiener filter.Geophysics,1974,39(2):169~173
[7]Gonzalez R C and Woods R E.Digital Image Pro-cessing.Pearson Education North Asia Li mited,2002
[8]Soon I Yet al.Noisy speech enhancement using dis-crete cosine transform.Speech Communication,1998,24(3):249~257
[9]Lu WK.Randomnoise suppression based on discretecosine transform.SEG Technical Program Expand-ed Abstracts,2007,26:2668~2671
[10]Ahmed Net al.Discrete cosine transform.IEEETrans Comput,1974,C-23(1):90~93
版权所有：© 2023 中国地质图书馆 中国地质调查局地学文献中心