在随机信号测量或仿真系统中，经常需要对离散数据信号进行随机性检验，以确定待测信号的特性或组成成分。
In random signal processing or simulating systems, the test of discrete digital signal randomicity is often needed. By which the compositions or the specialties can be testified.
当用计算机模拟满足一定功率谱规律的离散数字随机信号时，通常是对伪随机白噪声离散数字信号进行数字滤波来模拟。
When the random processes that meet certain power spectra are simulated by digital filters to white noise, the step length of the filters affects response mean-square values and correlation functions.
本文主要是使用离散二进小波变换，采用小波域阈值的去噪方法对地震信号中随机噪声进行分析和处理。
This paper mainly points out how to analyze and get rid of the random noise of seismic data by using the wavelet transform and de-noising method by threshold filter in wavelet domain.
本文主要是使用离散二进小波变换，采用小波域阈值的去噪方法对地震信号中随机噪声进行分析和处理。
This paper mainly points out how to analyze and get rid of the random noise of seismic data by using the wavelet transform and de-noising method by threshold filter in wavelet domain.
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