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bf-C++source-2003.8-5
- 实现bayes框架下的几种滤波算法的库程序，包括EKF,UKF等滤波器的C++的源程序，软件采用了模版化编程技术，易于使用。有样例程序，开发环境是Visual Studio。-Bayes the fr a mework of the realization of several filtering algorithm library procedures, including the EKF, UKF, such as filter C
EKFUKF_1_1
- EKF uKF的matlab工具箱，适合做非线性滤波的仿真计算。-EKF uKF the matlab toolbox for nonlinear filter to do the simulation.
ParticleEx1
- EKF与PF在目标跟踪中的一个简单比较，比较实用-EKF and the PF in the target tracking in a simple comparison of practical
ekf
- 这是个扩展kalman滤波的历程，对初学最优估计饿人应该很有帮助。-This is a course of extended kalman filtering, optimal estimation of beginner hungry people should be helpful.
ekfukf_1_2
- kalman滤波，扩展的kalman滤波（EKF），unscented Kalman filter（UKF），基于EKF和UKF混合模型的IMM实现，以及配套的Rauch-Tung-Striebel和two-filter平滑工具，一个很好用的框架-kalman filtering, extended kalman filter (EKF), unscented Kalman filter (UKF), based on the EKF
upf_demos
- ％ PURPOSE : Demonstrate the differences between the following filters on the same problem: ％ ％ 1) Extended Kalman Filter (EKF) ％ 2) Unscented Kalman Filter (UKF) ％ 3) Particle Filter (PF) ％ 4) PF with EKF prop
3970957upf_demos
- 介绍了kf,ekf,ukf ,pf ,upf 的程序代码，是一个比较全的程序代码-Introduced kf, ekf, ukf, pf, upf procedure code, is a relatively wide code
upf_demos
- ekf, ukf, pf等滤波器程序，对于学习估计理论的非常有用-ekf, ukf, pf procedures, such as filters, estimation theory for the study of very useful
EnsembleKalman_filter
- 集合卡尔曼滤波(EnKF) 数据同化方法可以避免了EKF 中协方差演变方程预报过程中出现的计算不准确和关于协方差矩阵的大量数据的存储问题,最主要的是可以有效的控制估计误差方差的增长,改善预报的效果。-Ensemble Kalman Filter (EnKF) data assimilation methods can be avoided in the EKF covariance forecasting the evolution e
EKF
- 扩展卡尔曼滤波算法，应用很多，换个背景就可应用，有点基础就下载，本程序已删掉背景。-Extended Kalman filter algorithm, the application of a lot can change in the context of applications, a little foundation on the download, the procedures have been deleted from t
EKF_UKF_PFduibifangzhen
- 该算法详细仿真了EKF、UKF以及PF三种方法，进行了对比，只需简单的调整参数就可以观察在不同条件下的滤波效果。-The algorithm detailed simulation of the EKF, UKF and PF three methods were compared, a simple adjustment of parameters can be observed under different conditions
EKF
- This paper studies the problem of tracking a ballistic object in the reentry phase by processing radar measurements. A suitable (highly nonlinear) model of target motion is developed and the theoretical Cramer—Rao
Motor
- 利用Kalman及EKF对两相永磁同步电机的状态进行估计。假设电机线圈电流可测，利用 EFK来估计电机的位置和转速。-Use of Kalman and EKF on two-phase permanent magnet synchronous motor of the state estimate. Assumptions motor coil current can be measured using EFK to estimate
SSS06.Prac1.DataAssociation.tar
- 移动机器人同时定位与地图创建最前沿技术，来自school summer 的培训材料，一共有三个代码包，包括EKF，PF等代码，这是第一部分-Mobile Robot Localization and Mapping at the same time to create the most cutting-edge technology, from the school summer training materials, a total
SSS06.Prac2.MonocularSLAM.tar
- 移动机器人同时定位与地图创建最前沿技术，来自school summer 的培训材料，一共有三个代码包，包括EKF，PF等代码，这是第二部分，主要是关于数据关联（data association）的.-Mobile Robot Localization and Mapping at the same time to create the most cutting-edge technology, from the school summe
EKF1
- EKF程序,用于计算目标跟踪的问题.运行情况很好,很适合非线性滤波问题.-EKF procedures used to calculate the target tracking problem.
particle_filter_paper_and_source_code_for_example2
- particle filter 原始论文及文中二维示例的代码，代码可以运行，并与KF,EKF,UKF做了比较-original particle filter papers and the text of two-dimensional sample code, code can run, and KF, EKF, UKF make a comparison
PF-EKF-WSN
- 迭代扩展卡尔曼滤波，实现非线性滤波的功能，应用在无线传感器网络中-Iterative extended Kalman filter, nonlinear filter function implementation, applications in wireless sensor networks
EKFSLAM
- 采用EKF实现移动机器人在全局地图中的自定位-EKF used for mobile robot self-localization
kalmanbucy
- 学习扩展卡尔曼滤波气的基本文件，可以随便下载并讨论-This is a tutorial on nonlinear extended Kalman filter (EKF). It uses the standard EKF fomulation to achieve nonlinear state estimation. Inside, it uses the complex step Jacobian to linearize th