基于小波变换的地震信号降噪处理

1998年 37卷 第No. 3期
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The noise elimination processing of seismic signal based on wavelet transform
1. 西北工业大学电子工程系, 西安 71O072;2. 西安石油学院钻井信息中心, 西安 710O65
Department of Electronic Engineering,Northwest Polytechnical University,Xi'an 710072
为了克服传统信号处理方法对地震反射信号这一类非平稳信号的局限性, 本文通过利用小波变换中奇异信号和随机噪声在多尺度空间中不同模极大值的传播特性设计的于波消噪方法, 对模拟地震信号处理的仿真结果表明小波方法在处理地震信号等一类非平稳信号时能获得较好的信噪比增益, 保持对突变信息的良好分辨率。
In order to overcome the 1imitation of traditional signal processing methods used in seismicreflection signal which is a kind of nonstationary signa1, we design wavelet noise-eliminationmethods by using the different propagation properties of singular signal and random noise inmultiscale space. The results of the simulated seismic signal processing show the wavelet methodscan impove the signal-to-noise ratio and preserve the good resolution for abrupt information.
小波变换; 奇异性; 多尺度空间; 模极大值; 地震反射信号;
wavelet transform; singular property; multiscale space; module maximum value; seismic reflection signal;