Separate stochastic bias two-stage decoupled wiener filters;
分离随机偏差两段解耦Wiener滤波器
Using modern time-series analysis method,based on the autoregressive moving average(ARMA)innovation model and white noise estimators,a new two-stage decoupled Wiener filters are presented for descriptor systems with stochastic bias.
应用现代时间序列分析方法 ,基于ARMA新息模型和白噪声估值器 ,提出了一种分离随机偏差两段解耦Wiener滤波新方法 ,同两段解耦Kalman滤波理论相比 ,避免了解Riccati方程 ,实现了完全解耦。
Based on the assumption of random installation deviation, the finite element met hod analyzing the initial displacement and stress of grid structures was set up.
基于随机安装偏差模式,利用空间有限单元法和概率方法,分析了网架结构由于安装偏差引起的初始应力和初始位移。
The notion of entropy density deviation and average random conditional entropy of arbitrary information sources on finite alphabet set relative to nonhomogeneous Markov chain are introduced,and the random deviation inequations between the relative entropy densities of arbitrary information sources and the average random condition entropy relative to nonhomogenous Markov chain are obtained.
通过引进有限字母集上任意信源相对于非齐次马氏链的熵密度偏差和平均随机条件熵的概念 ,得出了任意信源的相对熵密度与相对于非齐次马氏链的平均随机条件熵之间的随机偏差不等式 。
In this paper, a strong limit theorem represented by inequalities with random bounds which we call a random deviation theorem on Sn(i0,i1,…,im-1,ω) which hold for arbitrary countable non-homogeneous Markov chains is obtained.
本文给出了关于Sn(i0,i1,…,im-1,ω)的一个对任意可列非齐次马尔可夫链普遍成立的随机偏差定理,即用不等式表示的一个强极限定理。
The two-stage Kalman filter is excellent than standard Kalman filter in the presence of unknown random bias.
当动力学模型存在未知的随机系统偏差时,两阶段卡尔曼滤波要优于标准卡尔曼滤波。
A Class of Random Deviation Theorems and the Approach of Laplace Transform;
一类随机偏差定理与Laplace变换的方法
THE LARGE DEVIATION PRINCIPLE FOR PERSISTENT RANDOM WALKS IN RANDOM ENVIRONMENT
随机环境中持久性随机游动的大偏差原理
the expected value of the square of the deviations of a random variable from the point of origin.
偏离原点的随机变量的偏差平方的期望值。
Strong deviation theorems of random variable sequences for occurring frequencies;
随机变量序列发生频率的强偏差定理
Deviation Inequalities and Moderate Deviations on the Number of Isolated Vertices in Sparse Random Graphs;
稀疏随机图中孤立点的个数的偏差不等式与中偏差
statistical measure of the variance of two random variables measured in the same mean time period.
同一时间段内，两个随机变量平方偏差的统计值。
A Class of Strong Deviation Theorems for the Sequences of Absolutely Continuous Random variables
连续型随机变量序列的一类强偏差定理
Large Deviations for the Partial Sums of Several Random Variable Sequences;
一些随机变量序列部分和的大偏差定理
Large Deviations for Sums of Heavy-tailed Random Variables of Several New Classes;
几个新的重尾族上随机变量和的大偏差
Deviation Theoremes of the Multivariate Function Sequences of Arbitrary Random Variables;
任意随机变量多元函数序列的偏差定理的研究
LARGE DEVIATION OF SYMMETRIC ZERO RANGE PROCESSES WITH RANDOM RATES;
随机环境下的对称零程过程的大偏差原理(英文)
A Class of Strong Deviation Theorems on the Frequencies Which Arbitrary Sequences of Absolutely Continous Random Variables Occurs;
连续型随机变量序列出现频率的强偏差定理
A SMALL DERIVATION THEOREM FOR THE SEQUENCE OF COUNTABLE VALUE RANDOM VARIABLES;
可列值随机变量序列的一个小偏差定理
Finite Difference Method and Numerical Simulation of Stochastic Partial Differential Equations
有限差分方法与随机偏微分方程的数值模拟
Precise Large Deviations for Sums of Negatively Quadrant Dependent Random Variables Belonging to the D Class
D族负象限相依随机变量和的精致大偏差
A Class of Stong Deviation Theorems For Continuous Random Variables By Transformation of Laplace
基于Laplace变换的连续型随机变量的强偏差定理
Large Deviations for Solutions to Stochastic Differential Equations Driven by Semimartingale with Non-Lipschitz Coefficients
半鞅非Lipschitz系数随机微分方程解的大偏差
A Class of Strong Deviation Theorems for Functional of Sequence of Arbitrary Random Variables
关于任意随机变量序列泛函的一类强偏差定理