点过程

词组短语

point process · Poisson process

与点过程相关的网络例句 [注：此内容来源于网络，仅供参考]

Dot Pitch 点距 In monitors, the dot pitch is the distance between the holes in the shadow mask; the smaller the number, the sharper the image.

在监视器里，点距是距离(测量在彩色显象管阴罩过程中，在洞之间，用毫米)；更小的数目，骗子这幅图像。如果你有选择，A 。虽然，但是28毫米点距是更好的。

Firstly, This paper processes geometry filtration based on character of orbit's apogee and perigee after orbit model is analyzed and based. Secondly Space Debris is separated into two kinds, coplanar and not coplanar according as location interrelation of target and debris. In Dynamic filtration's processing, considering prediction time limit and orbit perturbation, secular effects which have increaser effect is considered so that some need catching danger time point is appeased, some law about time when target and debris pass intersectant line each other is inferred, when debris and object are in different plane and some similar law also is inferred otherwise. The time list is arithmetical progression. These laws can improve calculation efficiency remarkably; Lastly orbit predict is a course approaching least distance. Danger time point in the last step become beginning time point from which debris and object's position and velocity are calculated by SXP4 Model which is an analytic model.By result, determine that relative movement trend is closer or apart, farther calculate the interval apart from time when predictive least relative distance occurs. Least relative distance and time when least distance occurs is calculated finally. It is a fast approach course adopting varied interval.

本文在分析、建立轨道摄动计算模型的基础上，首先采用基于轨道远、近地点特征对大量编目在册的空间碎片进行初步几何静态筛选，然后根据碎片与目标轨道面的相对位置特点把碎片分为异面与准共面两种情况以进行动态筛选，在筛选过程中考虑到预报时限长度和轨道摄动影响，引入了轨道摄动中具有积累效应的长期项以满足危险时间点的捕捉要求，利用了长期项摄动变化线性的特点导出了碎片与目标异面情况下各自过交线的时间序列成准等差数列的规律性和准共面情况下类似的规律性，从而显著地提高了前期轨道筛选的计算效率；最后对剩余危险碎片和目标飞行器利用SXP4轨道预报模型在前期轨道筛选的基础上以各个危险探测时间点为预报的时间起点，并根据预报计算结果，分析目标和碎片在该时间点的运动趋势是相互远离还是相互接近，推出预计最小相对距离发生时刻相对此刻的时间长度，得到其随时间变化的局部最小相对距离以及危险距离发生的时刻和相对速度，这是一个采用变时间步长、快速逼近最小相对距离的过程。

For general point process model,we pose the mild condition under whichthe maximum likelihood estimateof the parameter possesses the strongconsistency and the convergence rate of iterated logarithm type.

首先对一般的点过程模型我们研究了随着观测时间的增加，参数极大似然估计的渐进性质。我们提出了相当广泛又便于验证的一组条件，足以保证极大似然估计具有强相合性及重对数型收敛速度。

First, in this paper, based on the fundamental theory and methods of survival analysis, martingale analysis method of point process in stochastic process is introduced and product limit estimator of non-parametric estimation is discussed.

本文在综述生存分析中的基本理论与方法的基础上，引入了随机过程中的点过程鞅分析方法，探讨了非参数估计中的乘积限估计。

However, with this new Firefox plugin, users can skip the "drop" point process.

然而，与这新的Firefox插件，用户可以跳过"下拉"点过程。

And based on the theory of Poisson point process, a calculation model of synthetic risk rate is given.

提出了防洪风险分析中一个Poisson标值点过程模型，并运用Poisson点过程理论，给出了综合风险率的计算模型。

The signal analysis methods based on the statistical theory of stochastic point processes for unit activity of neurons were described.

本文结合随机点过程的统计理论和数字信号分析原理探讨了几种神经元放电活动的信号分析方法。

This thesis contributes to the theory of statistical inferences of pointprocesses and their applications in software reliability.

本文主要研究了根据点过程的历史对点过程中参数的统计推断及其在软件可靠性中的应用。

The proposed robust road main direction detection method consists of initial main direction extraction based on the direction histogram of structure tensor and precise direction detection on vectorized edge image. Experiment results demonstrate its robustness and precise. The proposed Gibbs-sampling-based method models road network with marked point process and can effectively extract road network with initial configuration. However it is slow and still can not deal with single and isolated road segment. These problems can be solved by the real-time method. And experiments verify that the real-time method is fast during extracting road segment.

提出的稳健道路局部主方向提取算法以结构张量为基础，通过方向直方图确定大致主方向，并通过矢量化边缘进一步计算准确的方向角，实验结果表明具有良好的稳健性和准确性；提出的基于Gibbs采样的交互式道路网提取方法采用标记点过程对道路网进行建模，在给出初始构造项的情况下，能有效的提取出指定道路网；提出的实时交互式道路段提取算法弥补了上一方法无法处理单一直线道路段和计算过程慢的不足，是上一方法的有益补充，实验结果表明算法能快速提取道路段。

Water Cascade Analysis technology was used to synthesize the water use network for batch processes,which could determine the water pinch point location and the minimum utilities target of the batch process:minimum fresh water use and wastewater discharge.

利用水级联分析法对间歇过程用水网络进行研究，确定过程的用水夹点及最小新鲜水用量和最小废水排放量，提出了间歇用水过程的全局夹点的概念，考虑了用水过程的流率限制，在水级联表格中用流率替代了传统水级联分析法中的传质量，识别过程中每个时间段的局部夹点及公用工程目标，通过全局夹点和局部夹点的比较，指出过程的用水瓶颈，设置储罐打破瓶颈，使用水网络公用工程目标最小化。

与点过程相关的网络解释 [注：此内容来源于网络，仅供参考]

point process：点过程

其他: 分析时空事件(如地震、流行病案例) 之时空点过程(point process)模式. 近几年国内针对建构时空统计模式的研究包括以频谱法构造不可分离时空互变异函数、多尺度时空模式、臭氧及其传输之时空模式、二元资料之马可夫时空模式、及以小波(wavelet) 建构之时空模式等.

stationary point process：平稳点过程

stationary point 平稳点 | stationary point process 平稳点过程 | stationary process 平稳随机过程

stationary point process：平稳点过程无忧雅思网

stationary point 平稳点无忧雅思网 | stationary point process 平稳点过程无忧雅思网"g)JwoBih q] | stationary process 平稳随机过程无忧雅思网8Ov m C6y8L&_:G

marked point process：标值点过程

标量矩阵|scalar matrix | 标值点过程|marked point process | 标准差|standard deviation

marked point process：标值随机点过程

平面点过程:two-dimensional point process | 标值随机点过程:Marked Point Process | 跳时点过程:Point process of the jump times of an extremal process

self-exciting point process：自激点过程

自回归模型|autoregression model, AR model | 自激点过程|self-exciting point process | 自激振荡|self-excited oscillation

spatial point processes：空间点过程

空间模型 spatial models | 空间点过程 spatial point processes | 空间数列 spatial series

Case Studies in Spatial Point Process Modeling：空间点过程建模事例研究

3、 Artificial Neural Networks in Vehicular Pollution Modelling车辆... | 4、 Case Studies in Spatial Point Process Modeling空间点过程建模事例研究 | 5、 Catastrophe Modeling A New Approach to Managing Risk灾...

orderly stationary point process：顺序平稳点过程

顺序数列;有序数列 ordered series | 顺序平稳点过程 orderly stationary point process | 订单统计 orders-received statistics

regular stationary point process：正则平稳点过程

正则状态 regular state | 正则平稳点过程 regular stationary point process | 正常条件;正则条件 regularity conditions