多重分形谱用来定量表征不同生长条件下岛的分布。
Multifractal spectra are used to describe quantitatively the irregular distribution of island patterns obtained under different growth conditions.
采用外延的方法修正灰度设置的偏移可以对多重分形谱有所改善。
An extending method is here used to correct the deviation of gray level setting-up so as to improve the multifractal spectrum.
通过计算多重分形谱来分析正常受试者和异常受试者的结肠压力数据。
Multifractal theory is applied to analyze the intestinal pressure data. Through the multifractal chart, the data are classified as normal and abnormal which accords with the original diagnosis.
多重分形谱图分析有望为大颗粒流化床中颗粒运动规律的探测提供一种新的手段。
The MSS analysis is expected to offer an effective tool for exploring the particle motion in fluidized bed with coarse granules.
通过引入多重分形谱特征参数，刻画了原油和燃料油期货价格系统的多重分形特征。
Applying characteristic parameters of multifractal Spectrum, this paper depicts multifractal characteristic of crude oil and fuel oil futures price system.
论文的研究重点是从三个不同的方面将多重分形谱及其参数应用于股价波动性的预测研究。
And from there different aspects, this thesis forecasts the fluctuation of stock-price with multifractal spectra and its parameters.
第四部分是多重分形谱参数在预测高频股价时间序列在下一个交易周波动幅度方面的应用。
The theoretical anomalous characteristics of multifractal spectra on high-frequency stock-price time series are firstly deduced during prices fluctuate sharply.
利用一个简单的计算方法来近似代替HOLDER指数并通过计算其多重分形谱以寻求合适的分割阈值。
We can replace the HOLDER exponent by a simple calculation method and find a suitable segmentation threshold by calculating its multi-fractal spectrum.
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。
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.
对原始收益率序列进行置乱操作和替代数据处理，发现收益率序列的分布特征是多重分形谱产生的重要原因。
After original returns series are conducted by permuting and surrogate data, it is found that distributing character of returns is important source of multifractal spectrums.
探讨了分形测度小波变换极大值线的拓扑分岔情况，并提出了一种基于小波变换模极大值的多重分形谱估算方法。
Topologic bifurcation situation of maxima lines is also discussed. In the end, an estimation for multifractal spectrum is proposed in terms of wavelet module maxima lines.
从混沌的角度来看，随机过程的多重分形谱是动力系统的重要特征，熵率只是多重分形维中特殊的一维，即信息维。
Known from the theory of chaos, multi-fractal of stochastic process is a key characteristic of its dynamics, of which entropy rate is a special fractal dimension named information dimension.
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。
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.
本文研究分析了不同的多重分形算法，确定使用更简便、快速有效的多重分形谱改进算法来求取往复压缩机的故障特征参数。
This paper compared different arithmetic of multifractal, and the improved multifractal arithmetic was used to compute fault feature parameter of reciprocating compressor.
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 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.
其次使用小波变换模极大方法对上证指数、深证成指和三支股票青岛海信、青岛啤酒、青岛海尔五分钟高频数据进行了多重分形谱的分析，并与MFDFA法的计算结果进行比较。
Next. WTMM is used to analyze multifractal spectrums of three stocks 5-minute high-frequency data of Qingdao Hisense. Qingdao beer and Qingdao Haier, and WTMM's results is compared with MFDFA's.
本文从分形信息论观点出发，考察多重测度分形，导出基于分形熵比的多重分形维谱函数。
From the view of fractal information theory, the multifractal has been introduced, and the multifractal dimension spectrum function based on the fractal entropy has been investigated.
采用多重分形改进算法提取往复压缩机振动信号的多重分形特征，得到了轴承故障的广义维数谱。
The multifractal features are extracted from the vibration signals of different spots on reciprocating compressor using the improving arithmetic, the general dimension spectrum of bearing.
研究结果表明：地震分布的多重分形维数谱和奇异性谱对于一些典型震区的强震发生具有中期预报价值。
The results show that the medium term symptoms of strong earthquakes in some regions can be proposed from the multi fractal dimension spectrum and singularity spectrum of earthquake distribution.
人们所熟知的常用以代替分形维数的各种度量将在分维谱意义下加以统一，最后讨论多重分形及其分维谱的应用。
The usual fractal dimensions familiar to all us will be united by the multifractal dimension spectrum. Finally, the applications of the multifractal and its dimension spectrum will be discussed.
首先通过计算原始图像和特征灰度图像的分形维数实现第一次的粗分类提取，然后采用多重分形奇异谱方法进一步完成了细分。
At first, the fractal dimension is extracted from the original image and special gray image for the rough classification, and then the multi-fractal dimension is used for further classification.
首先通过计算原始图像和特征灰度图像的分形维数实现第一次的粗分类提取，然后采用多重分形奇异谱方法进一步完成了细分。
At first, the fractal dimension is extracted from the original image and special gray image for the rough classification, and then the multi-fractal dimension is used for further classification.
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