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stochastic filtering相关的网络例句

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

This paper proposes a non-linear adaptive filtering method based on analyzing the performance of the conventional adaptive methods in the cases of that the NBI can be modeled as a single tone,an autoregressive stochastic process or narrow band BPSK digital modulation signals.

在分析线性自适应滤波抑制单频干扰、自回归过程窄带干扰和窄带BPSK调制信号干扰的性能的基础上,提出了一种非线性自适应波抑制方法。

Also the problems of stochastic controllability, observability and stability of the filter are studied, a simple observability criterion for the time-invariant systems is set up, error band of the filtering is given theoretically, and the filtering stability results are proved under more general conditions; besides, the filtering error caused by uncorrect mathematical models is analysed.

本文还研究了随机能控能观性及滤波的稳定性问题,建立了结构简单的平稳定常系统的能观性判据,在理论上给出了滤波算法的误差范围,在更一般的条件下证明了最优滤波算法的稳定性;并从理论上分析了模型误差对滤波产生的影响。

On the basis of that, the latitudinal attitudes of the shipping are estimated by using Kalrnan filtering. Then, the stochastic optimal control schemes of the latitudinal attitudes are also studied.

在此基础上,用卡尔曼滤波方法对其横向所受力矩进行了最优估计,并进行了横向姿态的随机LQG控制规律的研究。

Based on the HP filtering analysis,the stylized facts and important influence of China's energy efficiency fluctuations are detected in the article,and then a dynamic stochastic general equilibrium model is developed to describe the mechanism of energy efficiency change in the short run.

本文从波动角度分析了中国能源效率的变化,特别强调波动成分对能源效率的短期影响,并在动态随机一般均衡框架下构建能源效率的机制决定模型,以探讨不同冲击对中国能源效率波动的作用差异。

Filter ; kalman filtering ; linear stochastic systems ; optimal designs ; minimal order filter.

滤波器;卡尔曼滤波;线性随机系统;最优设计;最小阶滤波器

Then, the result from the least square method is used as initial values of elastic visco-plasticity parameter. The Kalman Filtering stochastic back analysis is carried out.

利用最小二乘目标函数对边坡岩体弹-粘塑性参数进行了确定性反分析计算,并将反演结果作为参数初始值进行了岩体参数的Kalman滤波随机反分析计算。

First, recursive algorithms of the state optimal filtering under various stochastic noise conditions are constructed, which widely extends the results of Rajasekaran et al, and a reversed-time optimal filtering approach is developed.

本文首先在不同噪声条件下建立了多种状态线性最优滤波递推算法,推广了Ra-jasekaran等人的结果,并推导出状态的逆向最优滤波公式。

Combining forward and backward stochastic differential equations and filtering techniques, the Nash equilibrium point of a type of partially observed LQ nonzero sum stochastic differential game problem is obtained.

摘要结合正倒向随机微分方程理论和滤波技术,给出了一类部分可观测信息下线性二次非零和随机微分对策问题的纳什均衡点。

Therefore, basic methodologies for stochastic seismic and filtering responses of nonlinear structure are studied, the approximate solution methodologies and their practical applications are investigated in the dissertation employing equivalent linearization and moment equations method based on FPK equations and Ito stochastic differential equations. The research works are mainly concerned with the following aspects:Firstly, the differential expression of bilinear hysteretic is studied and a new differential expression is developed, then they are demonstrated.

因此,本文基于FPK方程和伊藤随机微分方程,研究了滞后结构物的随机地震反应和随机滤波问题的基本方法,并利用等效线性化法和矩方程法,研究了非线性结构随机地震反应分析和随机滤波分析的近似解法及它们的工程应用。

In order to decrease visual delay in virtual reality, we studied and analyzed the testing results of all sorts of human being head motion. We put forward that the head moving of human being is a Guass-Markov stochastic process and constructed a stochastic mathematics model for head motion. We also proposed an effective algorithm for head-moving prediction based on Kalman filtering and preprocessing of the measured data.

为了克服虚拟现实系统中的视觉延迟现象,在对各种头部运动规律测试结果分析研究的基础上,提出人的头部运动是具有高斯-马尔可夫特性的随机过程,建立了头部运动的随机数学模型,设计了基于卡尔曼滤波和测量数据预处理技术的头部未来位置预测算法。

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从鲍尔点的形成原理出发,分析对称连杆曲线上鲍尔点的产生条件,提出等边机构的对称连杆曲线上有单鲍尔点和双鲍尔点。

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