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在深地震测深数据处理中,仍多用基于傅里叶变换的滤波方法和小波二阶相关去噪方法。鉴于傅里叶变换方法对非稳态的地震信号不能提供在时频上的任何局部信息,而小波和小波包方法弥补了傅里叶变换的不足,能够提供时频上的任何局部信息,且高阶相关比二阶相关对随机噪声有更好的抑制和去除作用,本文结合小波和小波包去噪方法以及高阶相关去噪方法,编写了深地震测深数据处理的小波和小波包滤波方法的人机交互软件,用于抑制和去除地震信号中的加性高斯随机噪声。该软件可以方便快捷地显示深地震测深的地震记录截面,进行小波域的自适应阈值去噪、小波域和小波包域的二阶和高阶相关去噪以及基于傅氏变换的常规滤波。实例计算结果表明,方法和程序是有效且可行的。
In the deep seismic sounding data processing, the Fourier transform-based filtering method and the wavelet second-order correlation denoising method are still used. Since the Fourier transform method can not provide any local information on the time-frequency signal for the unsteady seismic signal, the wavelet and wavelet packet method can make up for the shortage of Fourier transform and can provide any local information on time and frequency Higher-order correlation is better than second-order correlation to suppress and remove stochastic noise. In this paper, wavelet and wavelet packet denoising method and high-order correlation denoising method are used to write wavelet and wavelet packet filter for deep seismic sounding data processing Method of human-computer interaction software to suppress and remove additive Gaussian random noise in seismic signals. The software can display the seismic recording cross section of deep seismic sounding conveniently and quickly, and carry out adaptive threshold denoising in wavelet domain, second and high order correlation denoising in wavelet domain and wavelet packet, and conventional filtering based on Fourier transform. The calculation results of examples show that the methods and procedures are effective and feasible.