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estimation of error相关的网络例句

查询词典 estimation of error

与 estimation of error 相关的网络例句 [注:此内容来源于网络,仅供参考]

Study is made of Bayes estimation of the error rate proportionality parameter θ in the JM model for testing software reliability,leading to the a priori,a posteriori distribution of θ and the coresponding Bayes estimates on the Bayes assumption,Jeffrey s principle and conjugate dis- tribution,together with their comparison and discussion.

讨论了软件可靠性模型——JM 模型中故障率比例参数θ的 Bayes 估计问题,分别求出了在贝叶斯假设、杰弗莱原则和共轭分布原则下参数θ的先验分布、后验分布及相应的 Bayes 估计,并对它们进行了比较和讨论。

This paper introduces an algorithm used in estimation of the phase error of chirp signal.

摘要该文提出了一种对雷达发射脉冲进行相位估计的算法。

According to analyzing the shortcoming of the estimation of circler error probability of multiple independently targeted reentry vehicles, this paper put forward a new method that is adapt to actual situation.

针对目前使用的多头分导式子弹头圆概率误差估算方法比较粗略的缺点,对多头分导式子弹头飞行特点进行了分析,并按照分析结果,提出了一种新的CEP估算方法。

According to analyzing the shortcoming of the estimation of circler error probability CEP of multiple independently targeted reentry vehicles MITRV , this paper put forward a new method that is adapt to actual situation .

根据一种多头分导方案实例,利用这种新的方法进行了子弹头圆概率误差的计算和验证,通过不同方法的对比,证实新的估算方法简单,可靠,结论符合误差分配规律。

In fact, the performance of system will degrade significantly when there is error in the estimation of DOA.

实际上,当期望信号的波达方向存在误差时,这些波束成形器的性能将明显下降。

For robustness of parameter estimation of linear model,we obtain the maximal classes of the error distribution,in which Generalized Least Squares Estimate,Gauss-Markov Estimate of estimable function of parameters,and Minimum Norm Quadratic Unbiased Estimator of variance maintain their optimal statistical properties.

这些研究成果不仪具有比较深刻的理论意义,还具有较为广泛的应用价值。

The method of estimation in paper [7] is to build fitness function by the 2-norm of error matrix directly. For the error matrix is a Toeplitz matrix, a novel fitness function was presented. Then a new method, the real-valued genetic algorithm which is based on genes weights variation independently, is developed in this paper.

文献[7]提出的估计方法直接以误差矩阵的2范数建立适应度函数,文中利用该矩阵是Toeplitz矩阵的特性,构造了一个新的适应度函数,提出了一种基于基因分量独立变异的实数遗传算法。

Especially, applying the estimation of map-aiding matching to modify Kalman Filter, the precision of error in the road is obtained in the field of road, so it can satisfy demand of VMS.(3) For the moving vehicles in a city, DGPS is so often affected by obstructing that DGPS signals are intermitted. The paper establishs mathematical model of DGPS/DR.

本文建立了组合导航系统的数学模型,提出了对观测量进行误差补偿的迭代扩展卡尔曼滤波算法,通过该算法将DGPS和DR系统集成起来,进行综合数据处理,从而可以连续不断地为行驶在街道上的车辆提供精确的定位服务。

The major achievement of this paper is: Based on characteristics of the traffic data distribution, execute pattern recognition operations on traffic condition on two dimensions by clustering, then use BP neural network to describe and forecast traffic flow aiming at each pattern. Making use of classic flow-occupancy inverse "V" model, implement polynomial fitting using least-squares algorithm and statistics method on flow curves to detect outliers which are proved to be not accord with practice through the actual implement, then use the moving average model to recorrect the outliers and absent. Make correlation analysis on muti-direction flow queues of the intersection and ones of upriver intersections, choose flow queue with high correlation as assistant one to improve the error tolerance of the prediction system, at the same time we can use the method to give an estimation of flow in intersection with out sensors. We design and implement an SOA(Service-Oriented Architecture)-based UTDD(urban traffic data mining development) with high expansibility and performance, which implement unified management and call of the data-mining application though defining a XML-based description of data-mining process and a common interface to call data-mining process, finally we build traffic flow prediction application model on UTDD.

根据交通流量数据分布的特征,提出基于k-means的二次聚类方法,对交通流量在流量大小和时间上进行模式划分,进而对各个交通流模式进行基于BP神经网络的描述和预测,从而提高模型对流量预测的精度; 2)根据流量/时间占有率倒&V&字形曲线分布模型,提出基于最小二乘法的三次多项式曲线拟合和统计方法的异常检测方法,实际应用表明该方法能够有效识别异常数据,然后根据移动平均算法对异常数据进行修正; 3)基于序列相关性分析,分别对预测方向的交通流量数据序列、上游路口相关序列以及预测路口其它各个方向上的交通流量序列进行分析,选择相似性流量序列,作为辅助序列提供其他没有检测器路口的流量估计; 4)设计和实现了基于SOA(Service-Oriented Achitecture)的高性能、可扩展的智能交通数据挖掘系统UTDD,该系统通过定义基于XML的数据挖掘过程描述和通用的过程模型接口,实现数据挖掘应用的统一管理和调用,最后在UTDD上建立了基于路口流量预测的应用模型。

An improved UKF method is proposed and applied to the nonlinear initial alignment of SINS on the stationary base. Simulation results illustrate that the given method has a better performance in the estimation of the azimuth error than the EKF, traditional UKF and scaled SSUKF does. Based on the dynamic error equations of SINS, the mathematics model of the IMU/GPS integrated navigation system is derived for Kalman filtering.

此外,论文还分析和研究了捷联惯性导航系统的力学方程编排和惯性仪表的误差,建立了IMU/GPS组合导航系统的状态方程和量测方程,设计和开发了用于机载SAR运动补偿的组合导航实验系统,并对设计的组合系统进行了大量的静态实验和车载实验。

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