最后根据赫斯特指数对该轴回转运动的稳定性进行了描述。
At last, Hurst exponent was adopted to describe the stability of axes rotating motion.
根据这一规律，通过计算声发射信号曲线的赫斯特指数(或分形维数)，便可确定声发射试验中的凯塞点。
On the basis of this character of Hurst index, the Kaiser point can be determined correctly by calculating the Hurst index of AE signal curve.
赫斯特指数的计算过程需要对研究的时间序列数据进行分组，而不同的分组情况对赫斯特指数会产生不同的影响。
The calculation process of Hurst index needs to group the data of time sequence. And different grouping situations have different influences on the Hurst index.
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.
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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