Adaptive Filtering De-noising Method Based on Generalized S - Transform and Gaussian Smoothing
Pengtao Cao, Min Zhang, Zhenchun Li · International Geophysical Conference, Beijing, China, 24-27 April 2018 · 2018
Aiming at the shortcoming of conventional time-frequency filtering de-noising method based on generalized S-transform, needing human-computer interaction to determine the suppression range of high-frequency noise in time-frequency domain, with a certain lack of subjective empirical experience.So joint generalized S-transform adaptive time-frequency filtering and Gaussian smoothing de-noising algorithm have developed a data adaptive de-noising method.Firstly, the generalized S-transform of the signal is used to obtain the time-frequency domain data, then in the process of reconstructing the time domain signal by S inverse transform, the data adaptive time-varying filtering function is used to remove most of the high-frequency random noise components, Finally the Gaussian smoothing filter function is used to remove the residual high frequency random noise of the signal.The results of the model and the real data verifies the proposed method is correctness and effectiveness in removing the high frequency random noise in the seismic data.