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particle-filter-mcmc
- 该程序为基于粒子滤波的一种新算法,综合MCMC Bayesian Model Selection即MONTE CARLO马尔克夫链的算法,用来实现目标跟踪,多目标跟踪,及视频目标跟踪及定位等,解决非线性问题的能力比卡尔曼滤波,EKF,UKF好多了,是我珍藏的好东西,现拿出来与大家共享,舍不得孩子套不着狼,希望大家相互支持,共同促进.-the program based on particle filter for a new algorithm, Integrated Bayesian MCMC
PF-EKF
- 粒子滤波和扩展卡尔曼滤波的对比分析，matlab算法，欢迎交流-Particle filter and comparative analysis of the extended Kalman filter, matlab algorithm, welcomed the exchange of
ran
- 神经网络的资源分配网算法-Neural network resource allocation algorithm Nets
kalmanzx
- 程序可以实现三维目标的跟踪监控，利用的是扩展卡尔曼滤波器EKF算法-Program can achieve the three-dimensional target tracking control, the use of the extended Kalman filter EKF algorithm
SLAMsession
- 这个是SSSLAM2006提供的机器人定位与地图创建的算法，该程序主要应用EKF滤波算法，完成了机器人SLAM。-This is SSSLAM2006 provide robot localization and mapping algorithm, which is mainly applied EKF filtering algorithm, to complete a robot SLAM.
Adaptive-Online-Learning
- 基于EKF的神经网络自适应在线学习算法，包含例子和文档。-We show that a hierarchical Bayesian modeling approach allows us to perform regularization in sequential learning. We identify three inference levels within this hierarchy: model selection, parameter estimation, and
dansimon
- 扩展卡尔曼滤波器算法 外国导师的经典的控制算法-EKF algorithm Dan Simon
PF_EKF_UKF
- 粒子算法，卡尔曼滤波 粒子算法，卡尔曼滤波-PF EKF UKF PF EKF UKF PF EKF UKF
ekf2
- 一种快速Kalman滤波算法实现,。对于某些不能够采取离线计算的滤波过程来说，它可以在保证一定精度的同时极大地提高计算速度和减少计算占用资源- EKF Extended Kalman Filter for nonlinear dynamic systems [x, P] = ekf(f,x,P,h,z,Q,R) returns state estimate, x and state covariance, P for nonlinear dynamic system: