探讨在地震勘探中小波变换处理非平稳信号的时频分析方法,从强噪声地震信号中除去干扰进而提取有效信号。在 D.L.Dohono 提出的小波阈值去噪方法的基础上,提出了一种新的阈值函数用于非平稳强震降噪。该函数是介于硬、软阈值函数之间的一个可调函数,具有计算稳定性好、精度高、收敛速度快、对模型参数α的选择简单易于操作等特征。通过仿真实验和实际地震处理验证,表明所构造的新阈值函数能有效改善地震剖面处理效果,达到提高信噪比的目的。
In seismic exploration,how to remove the interference from the seismic signal with strong background noises and extract the effective signal is the key of the seismic data processing.Wavelet transform is a time-frequency analysis to process non-stationary signals.Based on the wavelet threshold de-noising method proposed by D.L.Dohono,a new threshold function used in the non-stationary earthquake reduction noise is presented.This function is an adjustable function between hard and soft threshold functions and has the good stability of computation,high precision,fast convergence speed.Its choice of model parameters is simple and easy to operate.The simulation results and the actual seismic data processing show that the new constructed threshold function can effectively improve the seismic data processing,in order to increase the signal to noise ratio.