Seismic signals wavelet packet de-noising method based on improved threshold function and adaptive threshold

Liu Shuchong, Chen Xun

Institute of Disaster Prevention, Sanhe 065201

Wavelet analysis is one of the effective method to improve the signal to noise ratio and resolution of seismic data, a wavelet packet seismic signal denoising method based on a new threshold function and adaptive threshold was put forward according to the distortion problem of traditional threshold function denoising method, which make up the defects of traditional thresholding method. Wavelet packet decomposition techniques was used for seismic wave signal denoising processing, and the synthetic seismic signals and actual seismic data was done wavelet packet decomposition processing through MATLAB, better removing high frequency random noise to retain the useful signals. Experimental results showed that the method can effectively remove noise and improve seismic resolution, with better denoising effect.