Research of Using ICA on the Application of Seismic Signal Processing
Lanlan Wang · Science Technology and Engineering · 2010
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.