Seismic signal denoising method based on CEEMD and improved wavelet threshold

Abstract

Seismic data usually contains a lot of noise. In order to effectively remove noise and improve the signal-to-noise ratio of seismic signals, this paper proposes a method of combining complete empirical mode decomposition (CEEMD) with improved wavelet threshold denoising.method. CEEMD has good adaptability to signal decomposition; the new wavelet threshold function can effectively overcome the discontinuity of hard threshold function and the deviation of wavelet coefficients in soft threshold function. The combination of the two methods can obtain better denoising effect. After processing the simulated signal with the method proposed in this paper, the signal-to-noise ratio is significantly better than the traditional single denoising method.