An adaptive filtering denoising method based on generalized S-transform and Gaussian smoothing
Cao Pengtao1,2, Zhang Min1,2, Li Zhenchun1,2
1. School of Geosciences, China University of Petroleum(East China), Qingdao, Shandong 266580, China; 2. National Laboratory for Marine Sciences and Technology, Qingdao, Shandong 266071, China
Abstract：The conventional time-frequency filtering denoising method based on generalized S-transform needs human-computer interaction to determine the suppression range of high-frequency noise in the time-frequency domain.To overcome this shortcoming,an adaptive denoising method is developed with jointing the generalized S-transform adaptive time-frequency filtering and the Gaussian smoo-thing denoising algorithm.First,signals are processed with the generalized S-transform into time-frequency domain data.Then in the process of reconstructing the time domain signal by the inverse S-transform,the data adaptive time-varying filtering function is used to remove most of high-frequency random noise.Finally the Gaussian smoothing filter function is used to remove the residual high-frequency random noise of the signals.Tests on model and real data verify the correctness and effectiveness of the proposed method in removing high-frequency random noise on seismic data.Compared with the conventional method,the proposed method is less affected by processing parameters and the time-frequency resolution of the signal in the processed data is also higher.
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