In this paper, we study the multifractal analysis of local entropy and topological sequence pressure.
本文主要研究了动力系统中的局部熵的重分形分析和序列拓扑压的定义与性质。
A multifractal analysis approach to the problem of image edge detection use in the medical diagnosis is proposed.
本文提出了应用在医疗诊断上的一种基于多重分形分析的边缘检测方法，并应用在变形性骨炎的诊断中。
Therefore, the logging multifractal analysis method will take some practical significance in study of the complicated formation.
测井曲线的多重分形分析方法对于复杂地层的研究具有一定的现实意义。
Then, multifractal analysis is performed for low frequency sub-band. The multifractal spectrum is used as the characteristic parameters to filter pixels which mark different scenery.
然后对低频子带进行多重分形特性分析，再将多重分形谱作为特征参量进行像素筛选，筛选出标志不同景物的像素点。
The first chapter is about graph-directed self-similar sets in complete metric spaces, and the second chapter is about multifractal analysis of equilibrium measures in dynamical systems.
其中第一章是关于度量空间中的图定向自相似集合，第二章是关于动力系统中平衡态测度的重分形分析。
Multifractal method is further used in the analysis of surface. It is found that multifractal spectrum can reflect the overall characteristic of the distribution of probability of a surface.
进一步将多重分形的方法应用到对这些表面的分析中，发现多重分形谱可以全面反映表面概率的分布特征。
We give multifractal detrended fluctuation analysis and Hlder analysis of discrete time series and use them to study the temperature time series fluctuations.
给出了离散时间序列多重分形除趋势涨落分析方法和霍尔德指数的计算方法，并用它们研究了气温时间序列。
In analyzing material structure, the multifractal spectrum is ac hara cteristic parameter which enables the quantitative analysis and explanation ofm ater ial structure from multifractal perspective.
分析表明：在对材料的组织结构进行研究的问题中，多重分形谱是一种有意义的表征参数，能够从多分形角度对材料的组织结构开展定量化的分析与解释。
In this paper, a new multifractal algorithm is proposed based on sub-pixel edge measure. The method can precisely divide the image from texture to edge for image singularity analysis.
本文提出了一种基于亚像素边缘测度的多重分形算法，应用于图像奇异性分析中可以实现从纹理到边缘各层面的精确划分。
The return series of New York oil futures market is analyzed based on multifractal detrended fluctuation analysis (MF-DFA) method, through which the obvious multifractal behavior has been found.
利用多重分形消除趋势分析法(MF -DFA)对纽约原油期货日收益率时间序列进行分析，发现纽约原油期货市场具有明显的多重分形特征。
The return series of New York oil futures market is analyzed based on multifractal detrended fluctuation analysis (MF-DFA) method, through which the obvious multifractal behavior has been found.
利用多重分形消除趋势分析法(MF -DFA)对纽约原油期货日收益率时间序列进行分析，发现纽约原油期货市场具有明显的多重分形特征。
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