The results show that in the simulation of non-linear system model, this framework for Bayesian predictive filter can implement the tracking of simple motion and the orientation prediction.
实验结果表明，在非线性系统模型的仿真中，贝叶斯预测滤波框架能够较好的实现对简单物体运动的跟踪和方位的预测。
The Kalman Filter is widely applied in the Information Fusion at the present, which can get the optimal estimate in the Linear-Gaussian model, but not applied in the nonlinear and non-Gaussian model.
目前在信息融合领域广泛使用的融合算法是卡尔曼滤波，它在线性高斯模型下能得到最优估计，但在非线性非高斯模型下则无法应用。
According to the equivalent circuit model of non-linear load, a detecting approach of harmonic current in single-phase circuit based on fast iterative algorithm in active power filter is proposed.
根据非线性负载的等效电路模型，提出了一种基于快速跟踪算法的有源电力滤波器单相电路谐波电流检测方法。
My main work is applying the particle filter algorithm to random simulate the non-linear Bayesian dynamic models.
我的主要工作是把粒子滤波算法引人到非线性贝叶斯动态模型中来，对非线性模型进行了模拟。
Kalman filter is a high efficiency, optimal data process method, which is a realtime recursive filter of linear, non-bias and least square.
卡尔曼滤波，是线性、无偏、最小方差的实时递推滤波，是一种高效、优化的数据处理方法。
Kalman filter is a high efficient, optimal data process method, which is a real time recursive filter based on linear, non-bias and least square approach.
卡尔曼滤波，是线性、无偏、最小方差的实时递推滤波，是一种高效、优化的数据处理方法。
Since the real life systems basically are nonlinear, so this paper study the basic principles and specific applications of Particle Filter (PF) specially used for non-linear non-Gaussian tracking.
由于我们实际生活中的系统基本上都是非线性的，因此本文研究的是专门用于非线性非高斯系统跟踪的粒子滤波算法(PF)的基本原理及其具体应用。
The thesis does research on the application of non-linear LES in power system relay protection filter computing.
研究了非线性最小二乘算法在电力系统滤波计算中的应用问题。
With these numerical integration methods as mathematics tools, the new tracking algorithm, non-linear estimators weighted fusion filter, is developed, we call it TNF.
以这些数值积分方法为数学工具，推导出了非线性估计子加权融合滤波器，本文中简称TNF。
Particle filter algorithm has shown its good performance in non-linear and non-Gaussian models and is paid more and more attention.
粒子滤波算法由于其在非线性、非高斯模型中所表现出的优良性能，使得其越来越受到人们的重视。
The active power Filter, which can compensate simultaneously the harmonics and reactive power of non-linear loads, is good method to eliminate the harmonic pollution in power system.
采用有源滤波器就地吸收谐波源所产生的谐波电流，是消除或限制电力系统谐波污染的一种有效的措施。
The application of the Extended Kalman Filter (EKF) to identify INS platform drift error coefficients under the condition of ideal and non-ideal linear vibration is presented in this paper.
设计了多位置测漂方案，对理想、非理想线振动条件下的参数辨识问题进行了仿真。
The Ensemble Kalman Filter (EnKF) is a powerful data assimilation method and has proven its efficiency for strongly non-linear dynamical systems but is demanding in computing power.
方法是目前在强非线性系统中应用最广泛，效果最明显的集合资料同化方法。
Based on the unity power factor control strategy of single-phase active power filter, remove the part of non-linear load is the single-phase full-controlled rectifier.
基于单位功率因数控制策略的单相有源滤波，去掉非线性负载部分即为单相全控整流。
Median filter technology is a non-linear technology that can preserve image edge while removing noise. It is used in many fields widely, e. g. image enhancing and restoration.
中值滤波技术是一种在去除噪声的同时能较好保护图像边缘细节的非线性技术，在图像增强和恢复等领域中得到了广泛的应用。
Median filter technology is a non-linear technology that can preserve image edge while removing noise. It is used in many fields widely, e. g. image enhancing and restoration.
中值滤波技术是一种在去除噪声的同时能较好保护图像边缘细节的非线性技术，在图像增强和恢复等领域中得到了广泛的应用。
应用推荐