Study on De-noising in Low Electromagnetic Data Based on Bipolar Preset Stacking and Piecewise Linear Fitting
XU Wen-don · Journal of Liaocheng University · 2013
the data quality and credibility of explanation is affected by spike and trend noises in low frequency electromagnetic prospecting,which makes the classical bipolar preset stacking method(N times)fail to de-noise.This contribution presents a method of de-noising which consists on bipolar preset stacking method and piecewise linear fitting.Results of the simulation indicate that the bipolar preset stacking method can remove spike noises effectively.When the value M preset is equal to 0.1,the error is about 0.12V,and the SNR is improved to (N(1-M))~1/2 times.for a nonlinear trend,the error of its power spectral approaching its real spectrum is about 1% after de-noised by the piecewise linear fitting method,which meets the demand of practical application.The proposed methods present a easy,flexible,and effective way for de-noising the spike and trend noise in the low frequency electromagnetic data,and establish research basis for de-noising of the low frequency noises.