查询词典 range estimation

In order to obtain the reliable and accurate headway distance data, a state space model for distance data filter is established and then a new data fusion and estimation algorithm based on Kalman filter principle is developed. Its recursion formula is obtained. Taking the distance measurements of machine vision and laser radar as inputs, this fusion and estimation algorithm can output more reliable and accurate fusion data in real time.

建立了距离滤波的状态空间数学模型，提出了一种新的基于Kalman滤波原理的距离数据融合估计方法，推导出融合估计的递推公式，对来自机器视觉和激光雷达的距离数据进行融合估计，以减少距离数据的噪声，提高其可靠性与准确性。

In chapter 1, regression models with censored data, LSE for censored regression models and LAD estimation for models with fixed censoring point are introduced. Then, we state our main results for LAD estimator of nonlinear regression models with randomly censored data, including consistency, boundedness in probability and asymptotic normality. The proofs of our main theorems are given in detail. In chapter 2, we state the main difficulty of obtaining numerical solution for censored LAD estimation, and recall the history of studies on this problem including some anterior algorithms.

在第一章，首先介绍删失线性回归模型的基本概念和性质，并对已有的估计方法，如最小二乘估计、固定点删失的最小一乘估计等做了简单的回顾；然后，把固定点删失线性回归模型的最小一乘估计方法推广到了随机删失、非线性模型的情形，并得到了估计量的一些渐近性质，如相合性、渐近正态性等；最后，给出主要结果的详细证明过程。

Based on the least square criteria and to ensure the convergence of kinetic parameter estimation, we suggested a weighted Levenberg-Marquardt algorithm which introduces a relaxation parameter to prevent estimation procedure from divergence.

本研究除了沿用LM以残差平方总合作为调整修正步伐的方法外，另外还考量动态参数个别收敛的情况。

Based on filtering theory, a residual life predict model is set up according to condition information, and a general formula of parameter estimation is deduced using maximum likelihood estimation, thus, when the life distributing of an equipment is known, the model can be rapidly educed by taking the distribution into the formula is educed, and its residual life can be predicted without complex iterative process is predicted.

利用滤波理论，建立了基于状态信息的剩余寿命预测通用模型，并推导出采用极大似然估计法下参数估计的通式，使得在已知寿命服从其他任何分布形式时直接代入通式便可快速地得出其模型，从而预测其剩余寿命，省去了复杂繁琐的迭代过程。

Based upon master-slave- splitting iteration, rigorous solution of the whole AC/DC hybrid power system state estimation can be achieved, and different algorithms are adopted for estimation of AC and DC systems respectively.

该方法自然地将整个电力网络的状态估计问题分解成交流估计和直流估计两个子问题，通过主从分裂迭代，可获得严格的全局状态估计解。

The paper studies the auto-covariance estimation of Gamma distribution by using the asymptotic behavior of student U -statistic,gives the large sample interval estimation for the scale parameter,and carries out the computing simulation according to the method of random simulation.

利用学生氏U－统计量的渐近性质，研究伽玛分布的自协方差估计，同时给出了尺度参数的大样本区间估计，并采用随机模拟的方法进行计算模拟

And then, adopting the same model, cyclic moment estimation statistic of different orders are constructed respectively, large sample variance expressions of the estimator through theoretic analysis are derived, as well as the constraint relation of estimator performance and noise statistical characteristic. The curve of estimation performance is obtained through Monte Carlo simulation test, which proves the related conclusion derived.

然后，论文同样以加性和乘性噪声联合干扰下的复谐波信号和复线性调频信号为观测模型，分别构造了基于不同阶次的循环矩估计量，从理论上推导出了估计量的大样本方差表达式，分析了估计量性能与噪声统计特性的约束关系，通过Monte-Carlo仿真试验得到了估计性能的曲线，验证了推导的有关结论。

The motor's dynamic model, which is generally employed for speed control and parameter estimation applications, is improved for the purpose of improving the parameter estimation accuracy by the assumption that the stator self inductance Ls is identical to the rotor self inductance Lr. The motor's dynamic response to a direct on line start is used to estimate the parameters.

详细给出了遗传算法应用于动态数学模型参数识别问题的一般步骤，在Kron动态数学模型基础上，假定定子自电感Ls和转子自电感Lr相等，利用异步电动机直接空载起动的特性，对异步电动机动态数学模型和简化模型的参数进行了识别，给出了识别参数及有关结果。

We follow the idea of sequential estimation method of Palandri (2007) but simplify the specification to estimate the correlations with BEKK specification proposing the Sequential-BEKK model using multistep Maximum likelihood estimation procedures to estimate.

通过运用BEKK模型模拟的数据，本文比较发现，Sequential-BEKK模型在进行样本内预测相关系数矩阵时，表现优于BEKK系列模型和OGARCH模型，稍差于CCC和Dec模型，但是Sequential-BEKK能够比其他模型更好的刻画相关系数的动态过程。

This paper proposes a Mobile Agent Data Fusion algorithm based on bayes sequential estimation for wireless sensor networks. By designing data packet and data table with specific structure, and considers MA in multihop environments and adopts gradient of Bayes sequential estimation to dispatch MA. MA accounts for performing data processing and making data aggregation decisions at nodes rather than bring data back to a central processor, redundant sensory data will be eliminated.

该算法通过构造特定数据结构的报文，在多跳环境中由Bayes序贯估计调整梯度向量，据此动态决定移动代理的访问路径，使移动代理有选择地在传感器节点之间移动，且在节点处由移动代理对数据进行融合，将多余的感知数据剔除，而不是把原始数据传输到Sink节点。

When this condition occurs, inbound replication with the source partner is stopped on the destination domain controller and event ID 2042 is logged in the Directory Services event log.

计算机密码学是研究计算机信息加密、解密及其变换的科学，是数学和计算机的交义学科，也是一门新兴的学科。

Instructions: click on the thumbnails to see a larger image, then use the left-right arrow keys to scroll through the slideshow.

使用说明：滑鼠点在小图上即可放大观赏。开启后键盘左右键可用来换照片。