【摘要】 为了拓展独立分量分析的应用领域以及寻找地震信号去噪新方法,提出应用ICA处理地震信号随机噪声的具体方案,分析ICA的四个假设前提条件,结合实际地震信号的统计特性,分析作为源信号的有效波与噪声,并对其进行处理,使其能够在独立性和非高斯性方面满足独立分量分析算法的要求。对于盲源分离的两个固有不确定性问题,引入波形相似度的概念,使问题得到解决。从而说明在地震信号处理领域应用独立分量分析算法的可行性。最后提出算法,并用其处理合成地震信号(含随机噪声Ricker子波),实现有效波和噪声的分离,证明算法的有效性。更多还原

【Abstract】 With the aim of using ICA in the de-noising of seismic signal,analysis the four assumption conditions of the ICA,consider with the statistical characteristics of practical seismic signal,analysis and process the source signals,make them full fill with the requirement of the requiring of ICA in independence and non gaussian are presented. The concept of waveform similarity introduce to deal with the two inherent uncertainties of Blind Source Separation. And then the feasible of using independent component analysis is proved in the application of seismic signal processing.A algorithm and then use it in the synthetic seismic signal (Ricker wavelet with Random-noise) processing are taken. Complete with the separation of wave and noise,the validity of the algorithm is proved.更多还原