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. Introduce the concept of waveform similarity to deal with the two two inherent uncertainties of Blind Source Separation. And then prove the feasible of using Independent Component Analysis in the application of seismic signal processing. Take a algorithm and then use it in the synthetic seismic signal (Ricker wavelet with Random-noise) processing. Complete with the separation of Wave and Noise, prove the validity of the algorithm.
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李宏,林义刚,张冬生,等. ICA在地震信号处理中的应用研究[J]. 科学技术与工程, 2010, (9): . li hong, lin yi gang, zhang dong sheng, et al. the research of using ICA on the application of seismic signal processing[J]. Science Technology and Engineering,2010,(9).