【摘要】 在地震勘探中,随机噪声是一种频带较宽、严重影响有效波的干扰波,常用的傅立叶变换方法效果去除效果不理想。小波变换是一种时频分析方法,根据它的分频和局部分析能力,能有效地消除随机干扰,保留有效波的中、高频成分,经过小波重构,可恢复有效波信号。本文首先通过MATLAB合成了含噪地震记录,然后使用不同的小波基、阈值和分解层次对地震记录中的随机干扰进行了去除。其结果表明:基于小波变换的去噪方法是一种提取有用信号、展示噪声和突变信号的优越方法,具有广阔的应用价值。更多还原

【Abstract】 In seismic exploration,the random noise is a interference wave of wide band,and seriously affecting the effective waves,commonly used Fourier transform is a commonly method to attenuating it and the result is not satisfactory. The wavelet transform is a time- frequency analysis method based on fractional frequency and local analysis,which will effectively eliminate random noise,retain significant wave of middle and high frequency components,and through wavelet reconstruction to restore significant wave signal. In this paper,we use MATLAB synthesized seismic signals with noisy firstly,and then use different wavelet bases,thresholds and decomposition level to attenuating random noise in effective waves. The results show that: the method based on wavelet transform is an useful method to extract useful signal,display noise and mutation signal,and has broad application value.更多还原