统计特征

  • 网络statistic;Statistical Characteristics
统计特征统计特征
  1. 这两种属性重要度都利用数据的统计特征,克服了经典Rough集属性约简对噪声敏感的缺点。

    Both of two make use of statistics and partly eliminate the rough set sensitivity to noise .

  2. ICA系数的高阶统计特征在纹理分类中的应用

    Application of Higher-Order Statistics Features of ICA Coefficients in Texture Classification

  3. 函数模型描述的是观测值和待估参数之间的物理和几何关系,随机模型描述了GPS观测值的统计特征,并通过观测值的方差协方差给定了每个观测值对最后的定位结果的贡献。

    The GPS functional model describes the relationship between the observations .

  4. 利用遗传算法对图像的统计特征进行了特征选取,并应用于颅脑CT图像检索中。

    Statistical features are selected by genetic algorithm , which are applied in content-based brain CT image retrieval .

  5. ABg型超支化反应体系的平衡统计特征

    Equilibrium Statistical Characteristics of Hyperbranched Reaction System of AB_g Type

  6. 其次,针对有效TC的影响时间进行了统计特征分析。

    Secondly , the statistical analysis of effective TC influence days was conducted .

  7. 平坦衰落MIMO信道的能量统计特征分析

    Statistical Distributions of MIMO Channels over Flat Fading

  8. 针对UK心理测试自动分析系统的手写体数字识别问题,提出了结构特征和统计特征相组合的三级分类方案。

    A three-stage classification system of handwritten digits recognition is presented for the automatic analysis system in UK psychology test .

  9. 文中根据SAR图像的纹理特征和相干斑噪声的统计特征,提出了一种基于区域分集的相干斑抑制算法。

    According to the characteristics of SAN image details and speckle distribution , this peper puts forward a speckle-reduction algorithm based on region division .

  10. 然后在划定的ROI中检测吃水线特征和边缘梯度统计特征,由此选出符合条件的ROI;

    Secondly it proposes the waterline and maximum edge gradient detection , which can seek out the correct ROI .

  11. 本文系统研究了高分辨率SAR图像目标几何结构特征、灰度统计特征和变换特征的提取方法,并从理论和实验两方面对这些特征在目标分类中的应用进行分析比较。

    This paper has researched on the feature extraction technology about geometry feature , configuration feature , intensity statistical feature , and transformation feature in SAR images of high-resolution .

  12. 直到最近几年,由于计算机数据处理和计算能力的飞速发展,科学家们发现大量的真实网络并不是随机网络,而是具有与前者不同统计特征的无尺度(scale-free)网络。

    However , scientists recently find that a lot of real networks are not random network but scale-free network .

  13. 本文利用传统的单指数模型和ARCH模型,分析了开放式基金的收益率的统计特征、ARCH效应及与股价指数的关系。

    By using the traditional single-index model and ARCH model , the paper analyzes the returns characteristic , ARCH effects and the relationship with stock indexes of the objects-vary open-end funds in China .

  14. FN应力下超薄栅N-MOSFET失效的统计特征及寿命预测

    Statistical Failure Characteristics of N-MOSFET 's with Ultrathin Gate Oxides Under FN Stress and Lifetime Prediction

  15. 基于高阶统计特征的FY-2气象卫星全视场杂散光估计

    Full-field-of-view stray light estimation for FY-2 meteorological satellite based on the high-order statistical eigenvalues

  16. 基于裂隙的走向、迹长、间距和张开度的统计特征,应用MonteCarlo方法随机生成裂隙网络系统。

    Based on the statistic characteristics of orientations , traces , space distances , and apertures of fractures , a stochastic fracture network system is generated by use of the Monte-Carlo method .

  17. 研究了ACD的一种重要扩展模型:SCD模型的统计特征,如高阶矩的存在条件以及自相关函数的性质,并将其与ACD模型进行了比较。

    We research SCD model , which is an important extend of ACD model , compare the statistical properties with ACD model deeply .

  18. 日本GMS低云风的若干统计特征及应用于北太平洋西部风场分析的初步试验

    Some statistical characteristics and prelimimary study of application to low level wind field analysis over East Asia and western North Pacific based on Japanese CMS low cloud winds

  19. 介绍了一种基于小波变换的SAR图像噪声消除方法,充分考虑噪声的统计特征,并把小波变换与空间滤波两者有机结合起来。

    This paper introduce a method based on wavelet transform for removing the noise of the SAR image , with full consideration of the statistic characteristic of the speckle noise and combination of the wavelet transform with the spatial filter .

  20. 指出现行评定参数Ra、Rz和S等仅仅各自反映表面轮廓的单一统计特征,只有综合评定才能反映表面的实际功能。

    The paper shows that the evaluated parameters presently used , such as R. , R , and S , can only reflect the singular property of the surface profile individually , the composite evaluation can reflect the practical function of a surface .

  21. 青藏高原500hPa高压的统计特征

    The statistical characteristics of the 500 hPa high over the Qinghai-Xizang Plateau

  22. APS方法是在模拟的整个过程中对输出数据进行分析,而我们需要的常常是分子组分在某个时刻的统计特征。

    This method obtains the statistical character of one species in the whole time course . However , we often need to know the statistical character of all species in some time .

  23. 通过分析发送端拥塞窗口的演化行为,发现拥塞窗口的演化过程与TCP连接的吞吐量具有稳定的统计特征,与初始条件无关。

    By analyzing the evolutionary behavior of congestion window size of the TCP source , it is drawn that the statistic performances of both congestion window size and TCP connection ′ s throughput are stable , without respect to their initial conditions .

  24. 通过选择局部半径R和局部密度p这两个统计特征,可以方便地产生出各种不同形式的溶洞介质,并由此灵活、准确地描述实际的复杂溶洞介质。

    Via choosing the characteristic quantities namely the local radius R and the local density p , could generate a great variety of the different cave media , and thereout arrived at the theoretical cave model that was capable of describing the practical complex cave medium smartly and accurately .

  25. 然后,提出了进一步随机化嵌入块位置的方法,克服了嵌入块与JPEG块的重合概率过高的问题,从而有效保持了图像统计特征。

    Secondly , a further randomizing embedding blocks method is proposed , which overcomes the defects of high probability of coincidence of embedding blocks and JPEG blocks , and preserves the statistics of cover images .

  26. 本文首先简要介绍了Markov随机场模型,它描述了图像的局部统计特征,是全文纹理合成各个算法及其应用的理论基础。

    This paper starts with a brief introduction of Markov Random Field that describes the local statistical characteristics of an image and is the theoretical basis of all the algorithms and their applications concerned with texture synthesis in the whole paper .

  27. 分析了C6H6分子振动能谱的涨落统计特征。

    The statistical properties of vibrational energy levels in C 6H 6 are analyzed .

  28. 有关Kanai-Tajimi模型的统计特征分析

    Statistical properties analysis of Kanai-Tajimi model

  29. 在此基础上重点介绍了基于统计特征的非物理信道模型和基于散射特性的物理信道模型这两类MIM(?)信道建模方法。

    Based on them , two kinds of MIMO channel modeling methods are emphatically introduced , which are the non-physical model based on statistical characteristics and the physical model based on scattering characteristics .

  30. 针对线性PCA方法难以提取非线性统计特征信息,本文在输入训练神经网络基础上提出了一种非线性PCA故障检测方法。

    In this paper , a nonlinear PCA ( principal component analysis ) method for fault detection based on input-train neural network ( IT-net ) is proposed for the reason that linear PCA method is difficult to capture nonlinear statistical characteristic information .