估计理论
- 名estimation theory
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多维AR(p)模型的估计理论及应用
Estimation Theory of Multivariate AR ( p ) Models and Its Application
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基于Kalman滤波的白噪声估计理论的推广
A Generalization of White Noise Estimation Theory Based on Kalman Filtering
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NA相依样本部分线性模型估计理论
Estimation theory in partly linear regression models under NA dependent samples
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OFDM系统多径时延及信道估计理论研究和算法实现
Theoretical Research and Algorithm Realization of Delay Spread Estimation and Channel Estimation in OFDM Systems
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PA相依样本的部分线性EV模型的估计理论
Estimation Theory in Partly Linear EV Models for PA Data
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应用核密度估计理论构造了单变量多阶非参数模型NP(p)。
In this paper , a kind of nonparametric model based on the kernel density estimation theories is constructed for time series of single variable .
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最后分析了MeanShift算法的基本思想和密度估计理论,并成功地应用MeanShift算法计算跟踪动态目标。
In the final , it analysis the basic thoughts of the Mean Shift algorithm and the density estimation theory , and successful application the Shift algorithm to tracking dynamic target .
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提出了一种新的基于最大似然(ML)估计理论的OFDM整数倍频偏估计方法。
A novel method for integer frequency offset estimation of OFDM systems was derived , which was based on maximum likelihood ( ML ) technique .
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简要介绍了抗差估计理论;在顾及扰动异常的情况下,把自适应抗差Kalman滤波应用到联邦滤波上,对联邦滤波进行了改进,提出了一种自适应抗差联邦滤波算法。
After a brief review of robust estimator in this paper , a adaptive robust kalman filtering and a federated filtering based on it are presented .
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以alpha稳定分布的线性理论和参数的最大似然估计理论为基础,发展形成了线性滤波和非线性滤波两大类算法。
Two kinds of filtering algorithms based on the linear theory of alpha-stable distribution and the theory of maximum likelihood estimation are developed respectively .
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频域分析是各种动态信号处理的重要内容。本文基于Fourier分析和时序分析的极大熵谱估计理论,提出一种可用于诊断频域特征变化的时域特征参数。
Based on the maximum entropy spectrum theory of the time series analysis and the Fourier analysis , a time domain parameter for the diagnosis of frequency variation is proposed .
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VALUE-AT-RISK的核估计理论
The kernel estimation of value-at-risk : theory
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通过对AR模型谱估计理论的研究,提出了用AR模型谱估计对流量信号进行处理和分析,然后计算出流量信号的频率,最后换算成流量值的方法。
According to the theory , the method that processes and analyzes flow signal and calculates the frequency of it and converts the frequency to flow is brought forward .
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通过研究核密度估计理论,提出了一种适应估计金融时间序列分布的Laplace核密度函数。
After studying the theory of kernel density , propose a kind of Laplace Kernel Function , which adapts estimating the distribution of finance time series .
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在经典Kalman滤波估计理论的基础上,利用最优线性融合理论,分别给出了集中式Kalman滤波及各种分散式Kalman滤波的算法,并分析了各种算法的优缺点。
Use the traditional Kalman filter algorithm and optimal linear fusion theory to export the centralized and the decentralized algorithm , then , analyze the strongpoint and the defect of various structures .
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交互式多模型(IMM)是混合估计理论中比较优越的算法。
Interacting Multiple Model Algorithm ( IMM ) has been demonstrated to be the most cost-effective algorithm in hybrid estimation .
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应用向量积计算及先验估计理论和技巧,得到最佳的L2误差估计。
Using the calculation of the vecter product , and the theory and technique of prior estimates , then the optimal order error estimates in L2 are obtained .
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从材料的SN曲线与构件的SN曲线形状相似原理出发,结合Bayes估计理论和加速寿命试验理论,提出一个估计构件疲劳极限的极小样本方法。
A minimum sample method is given to determine the fatigue limits of structural components based on Bayes estimation theory , the accelerated life testing theory and the similarity of S & N curve between material and components .
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采用极小值原理设计了线性二次型高斯状态反馈控制器(LQG),并基于最优估计理论设计了连续Kalman滤波器。
With resort to the minimum principle , a LQG state feedback controller is obtained . In addition , a continuous Kalman filter is designed based on the optimal estimation theory .
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在现有提取极化干涉相位的技术中,由空间谱估计理论发展而来的,利用MUSIC、TLS-ESPRIT算法获取干涉相位信息的方法正逐步完善起来。
Among known methods of extracting interferometric phase , some methods that are developed from spatial spectrum estimation and extracting interferometric phase by MUSIC or TLS-ESPRIT algorithm have been becoming more perfect .
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基于广义随机系统的三种典范型,应用Kalman滤波和白噪声估计理论,分别提出了广义系统的三种降阶Kalman状态估值器和Wiener状态估值器。
Based on three canonical forms of descriptor stochastic systems , applying the Kalman filtering and white noise estimation theory , the three reduced-order Kalman state estimators and Wiener state estimators of descriptor systems are presented respectively .
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该文将最小信息损失(MIL)状态估计理论应用到拓扑错误辨识中,提出了具有严格数学基础的MIL拓扑检错新方法。
In the paper , a novel minimum information loss ( MIL ) based method with rigorous mathematic foundation for topology error identification is presented .
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在实现无控制DEM匹配基础上,针对匹配应用中表面差异探测需要,应用稳健估计理论进行差异探测研究和试验。
After the realization of the 3D surface matching without control points , because the requirement of change detecting in surface matching , the research and test on deformation detection are carried out based on robust estimator .
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本文结合参数估计理论和函数逼近论中的一些理论结果,提出了一种开环辨识Hammerstein模型的新方法。
In this paper , a new method for open-loop identification of Hammerstein model is proposed by combining parameter estimation theory with some results in function approximation theory .
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由于观测条件的变化,观测值方差将产生随机波动。本文根据Bayes估计理论,推导了线性模型待估参数的分布函数及观测值方差估计公式,并将其用于位移检验。
Based on Bayes analysis theory , a Bayes statistical test method is proposed for deformation analysis , the distributive function of parameter to be estimated in linear model and the estimation formulae of variance are derived .
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本文基于Kalman滤波器,推广并发展了Mendel的输入白噪声估值器,提出了相关噪声系统统一的和通用的白噪声估计理论。
Based on the Kalman filter , a unified and general white noise estimation theory is presented for systems with correlated noises , and Mendel 's input white noise estimators are extended and developed .
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对多传感器数据融合方法进行研究,以Bayes估计理论为基础得到了多传感器最优融合数据,并将它与其它方法得到的融合数据进行了比较。
In this paper , study is made on the multisensor data fusion methods . The optimal fused data is given by Bayes estimation theory , and optimal fused results obtained by other methods are compared with it .
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利用微分方程的先验估计理论和技巧,分别得到了椭圆型方程和抛物型方程的最优H1和L2误差估计。
Using the theory and technique of a priori estimate of differential equation , the author obtains the optimal order error estimates in H1-norm and L2-norm of the elliptic equation and parabolic equations respectively .
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根据鲁棒估计理论,采用一种基于广义M估计的自适应滤波器消除DSFH混合扩频系统中的部分带宽干扰,并推导了鲁棒自适应算法。
According to robust estimator theory , an adaptive filter based on generalized M estimation was used to reject partial band interference in DS / FH hybrid communication system , and the robust adaptive algorithm was deduced .
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介绍一种用于有机聚合物LED微弱电流的自动测量装置。装置将测量参数估计理论与T形负反馈电阻网络相接合以实现高准确度微弱电流自动测量。
A new computer-controlled apparatus for weak current measurement of organic / polymer light-emitting diode ( LED ) is proposed , in which the estimation method of parameters combining with T-type negative feedback resistance network is used to realize , a high accuracy and automatic measurement of the weak current .