It is a new useful optimal estimation recursion filter.
这种滤波器是一个新的有用的最优估计递推滤波器。
One of the algorithms is to linearized the state equation based on the optimal estimation.
其中一种方法是基于当前最优估计值对状态方程进行线性化。
The steady-state optimal estimation of singular systems is studied by applying ARMA innovation model.
基于多项式ARMA新息模型方法提出了随机奇异线性离散时间系统的稳态最优估计。
In this paper, the Kriging method is used for optimal estimation of the point and areal precipitation.
本文应用克里格法对点雨量和面雨量进行了最优估计。
Sensor fault detection is accomplished by integrating the optimal estimation and fault detection logic.
综合自联想网络的最优估计与故障诊断，自动区分估计误差和传感器故障。
Employing the optimal estimation can restore the pixels information in the corner effectively and rapidly.
为了有效和快速地恢复角点处的图像信息，采用了最优估值理论。
Second, this method focuses on optimal smoothing of estimator for a single distribution and does not address optimal estimation of the ROC curve.
第二，他只关心单个分布函数的最优拟合，而不是直接对ROC曲线做最优估计。
Therefore, the robust least square method with some additional conditions at the breakdown ratio being 20% was employed for optimal estimation of Muskingum parameters.
为此，采用崩溃率为20%、附有条件的抗差最小二乘法估计马斯京根汇流参数最优值。
Based on the theory of the optimal estimation, this paper proposes a multi-sensors decentralized algorithm to solve the parameter estimation problems in noise environment.
本文基于最优估计理论，提出了一种多传感器分散估计融合算法，以解决测量噪声干扰下参数估计问题。
All the methods of navigation and positioning are summarized and classified from the linear optimal estimation algorithms and the non-linear suboptimal estimation algorithms.
从线性最优估计算法和非线性次优估计算法两方面出发，对目前导航系统数据处理算法进行了归纳与分类。
This paper considers a linear optimal estimation problem for a stochastic process viewed as the output signal of the time delay stochastic systems driven by a white noise input.
本文研究在白噪声输入情况下，时滞系统随机输出信号的线性滤波估计问题。
Primary filter accomplishes the fusion of public state vectors about sub filters and time updating, and outputs the credible, precise and optimal estimation of navigation parameter error.
主滤波器(全局滤波器)进行子滤波器的公共状态矢量融合和时间更新，输出可靠、准确的导航参数误差的全局最优估计量。
The optimal estimation algorithm of measurement noise and the optimal state fusion algorithm for multi-channel system with multiplicative noises are mainly researched in this dissertation.
本文主要针对多通道带乘性噪声系统的观测噪声最优估计算法和状态最优融合估计算法展开进一步研究。
This paper first introduced the kalman filter, to all sorts of navigation data information fusion, thus constituting navigation system, in order to get the optimal estimation system state.
本文首先介绍了卡尔曼滤波器，对各种导航数据进行信息融合，从而组成导航系统，以获取系统状态的最优估计。
The theory and methods of mathematical statistics were used to optimal estimation, testing and analysis on data of radar accuracy testing. The problem of decision making and testing were solved.
运用数理统计的理论、观点和方法对制导雷达精度检验中的数据进行了最优估计、检验和分析，解决了雷达精度的检验、判定和决策问题。
In this paper we investigated optimal linear unbiased estimation of the linear estimable function in general multivariate random effect linear model.
本文研究了一般的随机效应多元线性模型中线性可估函数的最优线性无偏估计。
For this special multisensor system, distributed optimal fusion algorithm is received by avoiding computing correlated estimation covariance based on the matrix operation.
在这类特殊的多传感器系统中，本文通过矩阵运算消除相关估计方差，得到了最优分布式融合估计算法。
Modern plant management involves theory computations frequently, of which the estimation of plant optimal lifetime is a regular job for the plant manager.
现代设备管理中，经常会遇到理论计算问题，其中，设备最佳使用年限的估算对于设备管理人员来说，是一项常规性工作。
The paper analyses the parameter uncertaintys effect on the investors optimal portfolio choice, it suggests if the investor ignores the estimation risk, he may by lead to take p.
文章考虑投资者自身预测力存在估计误差的感知风险（参数不确定性）对投资者最优资产组合选择问题的影响。
In the sense of linear unbiased minimum variance estimation, a global optimal recursive state estimation algorithm for this discretized linear system is proposed.
在线性无偏最小方差估计准则下，推导出了该离散化后所得系统的全局最优递推状态估计算法。
The MIMO-OFDM channel estimation method is researched based on the system design, and a space-frequency domain optimal pilot-tones design algorithm is presented.
从系统设计角度研究了MIMO-OFDM系统的信道估计方法，提出一种基于空频域的最优导频设计算法。
The results obtained in this paper are very important for the further studies on the state estimation and optimal control of 2-D linear systems with stochastic input.
这些结果对进一步展开对随机2-D系统的状态估计，最优控制和其它方面的研究都具有重要意义。
The application of Wavelet in dynamic estimation and data fusion is introduced in this paper; an optimal real-time multiscale estimation and fusion algorithm for dynamic system is given.
介绍了小波变换在动态估计和数据融合中的应用，给出了一种实时的最优动态多尺度估计和融合算法。
The three basic problems of two-dimensional (2-d) hidden Markov models (HMMs) are studied, including probability evaluation, optimal states and parameter estimation.
研究了2维隐马尔可夫模型的三个基本问题，包括概率评估问题、最优状态问题和参数估计问题。
The asymptotic results of the estimation provided a theoretical basis for finding the asymptotic optimal scheme as well as estimating the optimal variable bandwidth directly from the data.
所得估计的渐近结果为求渐近最优方案以及直接从数据估计最优变窗宽提供了理论基础。
This paper presents a new hybrid algorithm based on both model reduction and linear model estimation for searching optimal number and locations of sensors for building structural health monitoring.
提出了一种基于模型减缩和线性模型估计理论的、用于建筑结构健康监测中传感器布置的新算法。
The distributions are obtained by kernel estimation methods using a Gaussian kernel with the optimal bandwidth chosen using the method proposed in Silverman (1986).
西尔弗曼1986的研究提出的方法进行了最优宽度选择，进而通过高斯核心估计方法获得了这个分布。
By using linear mask and the optimal fusion estimation, this algorithm improves the ability of edge keeping and denoising effectively, overcomes the disadvantages of the edge keeping filter.
该算法釆用线状掩模窗口和最优融合估计方法，有效地增强了边缘保持能力和去噪能力，克服了边缘保持滤波器存在的缺陷。
Based on the analysing of the data, selected relevant factors, made a series of tests and amendments with models, then created forest volume estimation optimal multivariate linear regression model.
在分析数据的基础上，选择了相关遥感因子和定性因子，并通过一系列模型的检验与修正，建立了公顷蓄积量估测的最优多元线性回归模型。
Based on the analysing of the data, selected relevant factors, made a series of tests and amendments with models, then created forest volume estimation optimal multivariate linear regression model.
在分析数据的基础上，选择了相关遥感因子和定性因子，并通过一系列模型的检验与修正，建立了公顷蓄积量估测的最优多元线性回归模型。
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