A method of predictive filter pressing random noise based on AR model
Ren Yue-hua · Global geology · 2012
Random noise is a kind of noise which is hard to advoid in seismic exploration,and it is greatly decreased signal-to-noise ratio of seismic meterials,resulting in poor or no migration imaging.Adaptive predictive filter method updated AR model formula under the assumption of AR model factors change in t-x domain,then introduced cost function to improve the stability and uniqueness of the solution and got 1D and 2D pressing noise recursive formula.Synthetic and real data examples showed that adaptive predictive filtering pressed the random noise interference in signal-to-noise ratio data and protected effective seismic wave well.