本文首先分析了当前模拟信号随机性测试技术，通过比较，说明使用熵测度对信号的随机性进行评价更加准确与科学。
Firstly, this paper analyzes the current analog signal random testing technology, and describes using entropy measure is more accurate and scientific to estimate the randomicity of signal by contrast.
为适应现代工程技术的需要，介绍了平稳随机信号分析在微型计算机上的实现和应用。
In order to meet the technical requirement nowaday, this paper represents how to perform stationary stochastic signal analysis with microcomputer.
基于随机分形理论，采用分数布朗运动模型，应用R/S分析技术和基于小波变换的谱参数估计方法计算地震道信号的赫斯特指数。
The thesis based on random fractal theory, utilizing fractional Brownian motion model, using R/S analysis technique and wavelet transform method to estimate Hurst exponent which dep.
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