STABLE PROCESSES
- 网络稳定过程
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On Fractional Stable Processes and Fields : White Noise Approach
分数稳定过程及场的白噪声分析
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Some Limit Theorems for a Class of Transient Stable Processes
一类暂留稳定过程的极限定理
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Relationship Between 1 / f and Stable Processes
1/f过程与稳定分布过程的关系
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Two results for symmetric stable processes
关于对称稳定过程的两个结果
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Central limit theorem for a class of super α - symmetric stable processes
一类超α-对称稳定过程的中心极限定理
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On the Local Extinction for the Supper α - Symmetric Stable Processes
超α-对称稳定过程的局部灭绝性
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The Statistical Inference for Generalized Stable Processes
广义稳定过程的统计推断
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α - stable processes can better model the impulsive random signals and noises in physical observation .
口稳定分布可以更好地描述实际应用中所遇到的具有脉冲特性的随机信号和噪声。
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A local functional lil for symmetric stable processes
对称稳定过程的局部泛函重对数律
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Therefore , there are theoretic and applied values in studying the sample path properties of multi-parameter stable processes .
因此,多参数稳定过程的样本轨道的分形性质的研究具有很大的理论意义和应用价值。
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In addition , as one of multi-parameter stochastic processes , the good properties of stable processes make it popular processes .
另外,作为多参数随机过程的研究对象,稳定过程也是一类具有较好性质的、为人们研究得较多的随机过程。
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In precise , we obtain the exact Hausdorff measure functions for level sets of N-parameter symmetric stable processes .
具体来说,我们得到了对称稳定过程的水平集的确切Hausdorff测度函数。
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We summarize them in the following . Firstly , we discuss the problem of level sets of N-parameter d-dimensional strictly stable processes in chapter 3 .
首先,在论文的第三章里,我们研究了N指标d维的严格稳定过程的水平集问题。
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A mathematic model of Cuk DC / DC was developed . The DC / DC converter was simulated using the PSpice software to analyze the transient and stable processes and the ripple-forming mechanism .
建立了一种Cuk型DC/DC变换器的数学模型,并利用PSpice软件对这种变换器进行仿真研究,分析其暂态和稳态的过程及纹波的形成机理。
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The advantages of the presented method are that the structure of the proposed controller is simple , and the parameters are easy to tune . It is shown that the given approach can also be used to control stable processes with large time delay .
该方法的优点是所得控制器结构简单、参数易于调节,且所给方法也适用于其他非最小相位系统的控制。
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A collaboration and decision information model which supports dynamic stable business processes optimizing model is researched ;
在协调与决策信息模型方面,建立了以过程模型为核心的具有集成一分解、协作一自律功能的共享信息模型;
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Stable linear processes with infinitely divisible distribution
具无穷可分分布的稳定线性过程
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According to the outcome of analysis above , a conceptual model of optimizing business processes is proposed which supports to construct dynamic stable business processes .
本文基于宏观信息熵方法对企业过程的柔性度和有序度进行了分析,根据分析结果,本文提出了一种支技动态稳定的企业过程优化概念模型。
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The relations between spectrum densities of system output responses and frequency were obtained by assuming input functions to be ergodic and stable stochastic processes .
假设输入函数为各态历经的平稳随机过程,得出各输出响应的谱密度与频率的关系。
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The results provide useful reference for the seeding effectiveness analysis with Doppler data and the scientific selection of seeding opportunity aiming at large-range and stable precipitation processes , as well as the sufficiency exploitation of air cloud-water resource .
该分析结果对采用雷达进行效果分析,科学选择再作业时机,充分开发空中云水资源具有实际的指导意义。
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In this paper are considered the stable linear processes whose system noise satisfies the infinitely divisible distribution . Under some simple conditions , the infinitely divisibility is proved for the marginal distribution of this linear processes , then the analytic expressions are obtained for the marginal distribution function .
本文研究系统噪声服从无穷可分分布的稳定线性过程,在简单的条件下,证明了该过程的边沿分布是无穷可分的,并给出边沿分布函数的解析表达式。
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The Influence of Vibration in Stable Metal Cutting Processes on the Machined Surface
平稳切削过程中振动对加工表面的影响
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During the period , the system is stable and business processes are smooth . In January 13th 2011 , this system was confirmed by the national project acceptance .
目前海口综合保税区信息平台已进入试运行阶段,期间系统运行稳定,业务流程顺畅,达到了设计要求,并于2011年1月13日通过了国家项目验收。
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G : Ensure stable , predictable development processes that meet scheduled milestones .
确保稳定性、可预测性的开发过程来满足计划的里程碑。
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The main contents and results are as follows : 1 . The basic theories of univariate stable distribution and multivariate stable distributions and stable stochastic processes are introduced .
本文研究的主要内容以及结果如下:1介绍了稳定分布理论以及多元稳定分布与稳定随机过程的基本理论。