付燕
FU Yan (Dept.of Computer;

• 1:西安科技大学计算机系 陕西西安710054

摘要(Abstract)：

常规KL变换对于具有强随机噪声的地震信号处理效果不佳 ,本文提出一种将小波变换和KL变换结合使用的去噪处理新方法。经合成剖面和实际剖面证明 ,该方法能有效去除强随机噪声 ,提高地震剖面信噪比
The effect of using conventional KL transform to remove strong energy random noises of seismic data is not very good.Based on this method,a new method of removing random noises which combines quadratic wavelet transform and KL transform is proposed.The results show that the new method can improve the effect of disposal and improve signal to noise ratio by processing the synthetic data and real data.

关键词(KeyWords)： 地震信号;KL变换;小波变换;随机噪声
seismic data;KL transform;quadratic wavelet transform;random noises

Abstract:

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基金项目(Foundation):

作者(Authors): 付燕
FU Yan (Dept.of Computer;

参考文献(References)：

• [1]　付才芳,罗国安应用KL滤波提高地震记录的信噪比[J]石油地球物理勘探,1986,21(5):486-493.
• [2]　DonohoD .De noisingbysoft thresholding[J].IEEE .Trans.OnIT ,1995,3:613-627.
• [3]　MallatSG ,HangWL .Singuluaritydetectionandprocessingwithwavelets[J].IEEETransonInformationTheory,1992,38(2):617-643.

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