面向飞参数据处理应用的数据平滑算法对比

对飞参原始记录数据进行预处理是有效利用飞参数据的基础。介绍了三种典型数据平滑算法的原理,建立仿真航线,并以飞参经度和纬度通道数据为例,对三种平滑算法的处理效果进行了对比研究。结果表明,当误差服从正态分布以及广义正态分布时,通过选取适当参数,Vondrak算法相对于滑动平均和加权局部多项式回归算法具有明显优势,从而为飞参原始记录数据的预处理算法选择提供了参考。     

基于实测光电跟踪仪误差的分布检验及应用

对光电跟踪仪跟踪误差特性分析是进行精度试验数据分析处理的前提基础。为了研究光电跟踪仪对空中目标角跟踪测量误差的分布规律,综合采用偏峰度联合检验即Jarque-Bera法和Kolmogorov-Smirnov非参数统计方法,对实测误差数据进行分布检验。检测结果表明光电跟踪仪角度测量误差中远端区段符合正态分布,近区测量误差80%航次不符合正态分布。所得结论为光电跟踪仪精度试验设计和数据处理算法的确定提供了科学依据。     

低入射余角下雷达海杂波的建模与仿真

研究了低入射余角下雷达海杂波的建模、仿真算法及实现问题。根据实际背景 ,对实测数据进行深入讨论 ,建立起一个较为准确的海杂波幅度分布模型与功率谱模型 ;针对非相参和相参两种雷达体制 ,分别采用修正的零记忆非线性变换法和球不变随机过程法来实现具有给定相关性的K分布随机数序列的产生 ,并以VisualC + +为平台实现了仿真软件。仿真结果证明了模型和算法的有效性。     

基于Johnson转换的轴承装配过程质量控制

轴承装配过程质量研究中的参数一般按正态分布来处理,可实际过程中轴承径向间隙这个质量特性参数未必服从正态分布.基于这种情况,从车间采集了样本数据,并结合现有研究成果进行了正态性检验,在确认属于非正态分布的情况下用Johnson转换的方法进行了非正态过程能力分析,并与直接假设轴承径向间隙这个质量特性参数服从正态分布时的求解结果进行了比较,验证了基于Johnson转换的过程能力分析和质量控制的合理性和有效性.     

可变比特率编码的视频信号在ATM网中的带宽分配

在ATM网中,是否接受一个新呼叫关键在于网络能否提供满足传输性能指标的带宽。因此,能够找到一个既简洁又准确的带宽分配算法是一个很吸引人的问题。对于可变比特率编码的视频信号,若已知比特率概率密度,可用卷积计算所需分配的带宽,但在网中很难实现卷积运算,幸运的是比特率概率密度函数近似正态分布,因此简化了带宽分配算法,本文对这种算法的合理性、误差问题进行了分析,对公式提出了修正看法。     

轴对称淹没水射流喷管内外紊流流场数值模拟

利用淹没水射流可对有机物进行降解.为研究淹没水射流降解的流场特性,根据轴对称淹没水射流撞击靶件的条件建立了物理模型,选用κ-ε紊流模型采用SIMPLEC算法进行数值计算.计算结果表明,流场存在射流区、漫流区、撞击区和漩涡区:射流区离靶件较远的部分同自由射流结构相似;靶件冲击面上压力分布近似的呈正态分布.对物理模型进行适当的改进并进行模拟,其结果同相应的实验数据相吻合,验证了本模型的可行性和计算结果的正确性.     

GPS P码的软件生成算法

GPS系统中的P码由于具有定位精度高,码周期长,结构复杂的特点,有着广泛的军事应用.如果能产生其周期内的任意一段P码,对研究P码的快速捕获有着重要意义.对P码的产生机理进行了研究,提出了一种GPS P码的软件产生算法,能够产生任意时刻、任意卫星的P码,并在MATLAB 6.5环境下对算法进行了仿真实现.     

环境本底统计特性研究

在研究移动物体放射性监测报警技术的背景下,对环境本底的统计特性进行了研究。阐述了检验环境本底是否符合正态分布的几种方法以及MATLAB软件中检验正态分布的工具,并利用采集的环境本底数据计算、分析了环境本底的统计分布模型,最后给出了各方法的评价。     

对数正态分布步加寿命试验的统计分析

本文对正态分布的尺度参数σ和位置参数μ给出了双截尾数据的最佳线性无偏估计和简单线性无偏估计,并研究了在Ⅰ型截尾场合下对数正态分布步加寿命试验的统计分析。最后,给出一数值例子,说明上述方法是可行的。     

基于正态分布曲线的分段式变步长LMS算法

针对传统最小均方误差(Least Mean Square, LMS)自适应滤波算法由于步长固定,在解决稳态误差与收敛性之间的关系时,始终处于矛盾状态的问题,在对传统的固定步长LMS自适应滤波算法分析的基础上,根据变步长LMS自适应滤波算法的步长调整原则,通过构造步长因子与误差信号的非线性函数,提出了一种基于正态分布曲线的分段式变步长LMS自适应滤波算法,并分析了参数取值对算法性能的影响。针对实际信号处理过程中参考信号难以选取的问题,提出了一种基于分裂阵的参考信号选取方法。理论和海试数据分析结果表明:该算法的收敛速度和稳态误差明显优于固定步长的LMS自适应滤波算法和基于Sigmoid函数的变步长LMS自适应滤波算法。     

Multivariate tests of fit using asymptotically sufficient grouping

A sample is taken from a continuous multivariate distribution. The problem is to test the hypothesis that the unknown joint cumulative distribution function is equal to a completely specified function. The observed data are transformed so that the hypothesis being tested is that the distribution is uniform over a unit hypercube. If only neighboring alternatives are considered, it is shown that the numbers of observations falling in a gradually increasing number of subcubes are asymptotically sufficient. It is shown that for all asymptotic probability calculations, we can assume that the joint distribution of the numbers of observations can be considered to be the distribution of slightly rounded off normal random variables. Tests based on these facts are constructed.     

A cost analysis of sampling inspection under Military Standard 105D

Military Standard 105D has been almost universally adopted by government and private consumers for the lot-by-lot sampling inspection of product which may be inspected on a dichotomoun basis The plan specifies, for each lot size, a random sample size and set of acceptance numbers (maximum allowable number of defectives in each sample). The acceptance numbers are based upon the binomial distribution and depend upon the quality required by the purchaser. Where several consecutive lots are submitted, a shift to less severe (“reduced”) inspection or more severe (“tightened”) inspection is specified when the ongoing quality is very high or low. Further experience permits a return to normal sampling from either of these states This paper examines the long range costs of such a sampling scheme. The three inspection types are considered as three distinct Markov chains, with periodic transitions from chain to chain. The expected sample size and the expected proportion of rejected product are determined as a function of the two parameters under control of the manufacturer, lot size and product quality. Some numerical examples are given which illustrate how to compute the overall cost of sampling inspection. Suggestions are made concerning the choice of parameters to minimize this cost.     

Slant Range Distribution Characteristics of Submarine Launch Mobile Mine

With the bias between the predetermined planting location and the fact mine position,slant range of SLMM(submarine launch mobile mine)appears randomly scattered.The normal distribution model of slant range was proposed by the distribution theory of multivariate random variables,and the simplified model based on key parameters was present,and the laws of slant range distribution parameters such as mean and variance were given,which were affected by key parameters.The conclusions ensure that slant range of SLMM can be controlled when laying mines and provide the basis for tactical decision-making.     

Information in two-stage programming under uncertainty

The random variables in two-stage programming under uncertainty are generally treated in a passive manner in that no information regarding the random variables or the process generating the random variables may be obtained. This paper develops the economics of information for the case in which the probability distributions are discrete. A multinomial process is assumed to generate the random variables, and the parameter vector of that process is assumed to be unknown. A Dirichlet prior distribution on the parameter vector is used, and the computation of the value of information thus involves a Dirichlet-multinomial distribution on the random variables. An example involving producing to meet uncertain demands is presented.     

坦克火控首发命中率试验脱靶弹数据处理方法

通过对出现脱靶弹情况下的散布特征参数估计方法的研究 ,建立了正态双边截尾样本均值和方差估计数学模型 ,并给出了数值计算方法 ,为坦克火控系统首发命中概率试验脱靶弹数据处理提供了理论依据。     

Preservation of stochastic orders for random minima and maxima,with applications

It is shown, in this note, that the right spread order and the increasing convex order are both preserved under the taking of random maxima, and the total time on test transform order and the increasing concave order are preserved under the taking of random minima. Some inequalities and preservation properties in reliability and economics are given as applications. © 2003 Wiley Periodicals, Inc. Naval Research Logistics, 2004.     

The error in the normal approximation to the multinomial with an increasing number of classes

In an earlier paper, it was shown that under certain conditions, if the number of classes in a multinomial distribution increases as the number of trials increases, the probabilities assigned to arbitrary regions by the multinomial distribution are close to the probabilities assigned by the distribution of slightly rounded-off normal random variables. A different method of studying the approximation of the multinomial distribution by a normal distribution is to use the multivariate Berry-Esseen bound. In this paper, these two methods are compared, particularly with respect to the class of multinomial distributions for which the bounds on the error remain useful.     

Bayes 试验分析中验前分布的表示

结合武器系统试验鉴定中的问题，研究Ｂａｙｅｓ方法运用中的验前信息表示问题。文中运用自助（Ｂｏｏｔｓｔｒａｐ）方法和随机加权法确定验前分布。对于多种信息源之下的验前信息，给出了验前分布的融合估计。对当前工程实践中常用的方法及存在的问题，提出了看法和处置方法。     

（S，S）策略随机存储系统库存极限分布研究

首先给出了（s,s）策略随机存储系统极限库存分布的概念及更新过程的一些基本知识。利用更新过程的理论给出了极限库存分布的解析表达,并讨论了需求分布为指数分布的情形。然后利用系统仿真的方法进行验证,表明解析方法与仿真方法的结果完全一致。论文结果说明了解析推导的正确性和系统仿真方法的科学性。     

The normal approximation to the multinomial with an increasing number of classes

For a fixed number of classes and the number of trials increasing, the approach of the multinomial cumulative distribution function to a normal cumulative distribution function is familiar. In this paper we allow the number of classes to increase as the number of trials increases, and show that under certain circumstances the probabilities assigned to arbitrary regions by the multinomial distribution are all close to the probabilities assigned by the distribution of “rounded off” normal random variables. As the number of trials increases, the amount rounded off approaches zero. The result can be used to study the asymptotic distribution of functions of multinomial random variables.