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中心极限定理

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Modeling experiments on real SAR images demonstrate that the heavy-tailed distributions based on the generalized central limit theorem can accurately describe the sharp-peaked and heavy-tailed statistics of high-resolution SAR images.

真实SAR图像的建模实例表明,基于广义中心极限定理的拖尾分布可以精确描述高分辨率SAR图像的尖峰和厚尾的统计特征。

By using the generalized central limit theorem, the heavy-tailed distributions (heavy-tailed Rayleigh distribution for amplitude image and heavy-tailed exponential distribution for intensity image) are obtained from the symmetric stable distributions of real and imaginary parts of echoes. Taking the heavy-tailed Rayleigh distribution as an example, the algebraic tails of heavy-tailed distributions are explained as well as the statistics of sharp peak and heavy tail.

本文使用广义中心极限定理,由雷达回波的实部和虚部的对称稳定分布,得到SAR图像的拖尾分布(幅值图像的拖尾Rayleigh分布以及强度图像的拖尾指数分布),并以拖尾Rayleigh分布为例,讨论了拖尾分布的代数拖尾特征以及尖峰厚尾的统计特性。

Stationary NA sequences; empirical measure; large deviations principle; linear processes; functional law of the iterated logarithm; strong approximations; LPQD sequences; m-dependent random element; precise asymptotics; the central limit theorem for the sum of random number

基础科学,数学,概率论、数理统计平稳NA序列;经验测度;大偏差原理;线性过程;泛函型重对数律;强逼近; LPQD序列; m-相依随机元;精确渐近性;随机指标中心极限定理

A similar normal state method of system reliability evaluation is presented based on the centre limit theorem of mathematical statistical theory.

基于数理统计理论中的中心极限定理,提出了一种适用于系统可靠性评定的近似正态法。

As an alternative,we turned back to find the limiting distribution of the LSS G_n.

本文主要运用Bernstein多项式逼近、Stieltjes变换方法以及鞅的中心极限定理等手法。

Based on the old algorithm, introduce new Linear Feedback Shift Register, new Central Limit Theorem, Maclaurin Equation to generate uniform distribution, gaussian distribution, exponential distribution's random number respectively and analyze them, compares the difference between new algorithm and old algorithm.

在原有算法的基础上,提出了改进型线性反馈移位寄存法、改进型中心极限定理法和麦克劳林展开法,并对其作测试仿真,比较传统算法与改进型算法之间的优缺点。

According to the central limit theorem,the writer analyses the using case of air splicer,and clarifies the using distribution of air splicer,obtains the statistic on air consumption of air splicer.

运用中心极限定理对空气捻接器的使用情况进行分析,明确了空气捻接器的使用分布情况,得出了空气捻接器耗气量的统计数据。

Thirdly, proper probabilistic model is built for the bilateral stop-and-go generator and the probability properties of its output sequence are studied. It is proved that the output sequence obey strong law of large numbers and central limit theorem and that, however, the distributions of 0 and 1 in the output sequence are imbalanced, which implies that this generator cannot be used as keystream generator directly. The rate of coincidence between the output sequence and corresponding LFSR sequences, together with their first derivatives are obtained, which reveal the existence of correlation between these sequences.

最后,建立了双侧停走生成器的概率模型,研究了双侧停走生成器输出序列的概率分布性质和大数性质,证明了生成器输出序列服从强大数定律和中心极限定理,得到了生成器输出序列中0,1分布是不平衡的结论,由此指出不能将这种生成器直接作为密钥流生成器;给出了双侧停走生成器输出序列和相应的线性移位寄存器序列之间的符合率以及一阶差分序列之间的符合率,得到了符合率的表达式,揭示了这些序列的对应比特和对应序列段之间存在相关性。

Secondly, the properties of output sequences of stop-and-go clocked combiners are discussed. It is proved that the output sequences are stationary and obey strong law of large numbers and central limit theorem. Using the probabilistic model properly built, we analyze the rate of coincidence between the output sequences of two kinds of generators with basic operations and corresponding LFSRs sequences. All the computational formulae are derived. A recursive algorithm for efficiently computing the poster probability of partial input strings and corresponding joint probability is introduced. Moreover, divide-and-conquer attacks on this kind of generators which reconstruct the initial states of the input stop-and-go generators individually are proposed.

其次,分析了一般钟控停走组合生成器输出序列的概率分布性质,证明了生成器的输出序列是严平稳的,且服从强大数定律和中心极限定理;考察了钟控加法型组合生成器和钟控乘法型组合生成器的输出序列和相应的常规钟控下线性移位寄存器序列之间的符合率,给出了符合率的具体计算公式;给出了组合器输出序列段和输入序列段之间的联合分布以及部分输入序列段的后验概率的有效递归算法,进一步提出了利用后验概率对钟控组合生成器进行分别征服相关攻击的方法。

Using the research results of Wiener process and limited fraction Theory, researched on the distribution of inspecting statistic, which lies in the non-stationary process.

利用维那过程的研究成果及泛函中心极限定理对非平稳过程的检验统计量分布进行了研究。

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中文摘要:几乎处处中心极限定理是近几十年概率论研究的一个热门话题。它之所以引起人们的注意是由于它在随机模拟方面的实际应用参见Fisher