粒子滤波程序，仿真实现自由度机器人对目标的跟踪，使用kalman滤波估计总雅可比矩阵J，噪声为非高斯噪声
上传时间： 2014-01-25
上传用户：顶得柱
介绍一些常用的数值计算方法，包括用FFT计算离散傅立叶(Fourier)变换，kalman滤波，alpha-beida-ganma滤波
上传时间： 2014-01-06
上传用户：sammi
一个很不错的程序，用于kalman仿真，希望大家喜欢。
标签： 程序
上传时间： 2017-01-21
上传用户：woshiayin
一个很不错的程序，用于kalman仿真，希望大家喜欢。
标签： 程序
上传时间： 2014-01-14
上传用户：chenlong
各种滤波器，包括LMS、RLS、Wiener,Kalman,Median等滤波器源码，都是原创
标签： 滤波器
上传时间： 2013-12-19
上传用户：a3318966
dysii is a C++ library for distributed probabilistic inference and learning in large-scale dynamical systems. It provides methods such as the Kalman, unscented Kalman, and particle filters and smoothers, as well as useful classes such as common probability distributions and stochastic processes.
标签： probabilistic distributed large-scale dynamical
上传时间： 2014-01-12
上传用户：wangdean1101
documentation for optimal filtering toolbox for mathematical software package Matlab. The methods in the toolbox include Kalman filter, extended Kalman filter and unscented Kalman filter for discrete time state space models. Also included in the toolbox are the Rauch-Tung-Striebel and Forward-Backward smoother counter-parts for each filter, which can be used to smooth the previous state estimates, after obtaining new measurements. The usage and function of each method are illustrated with five demonstrations problems. 1
标签： documentation mathematical for filtering
上传时间： 2014-01-20
上传用户：changeboy
documentation for optimal filtering toolbox for mathematical software package Matlab. The methods in the toolbox include Kalman filter, extended Kalman filter and unscented Kalman filter for discrete time state space models. Also included in the toolbox are the Rauch-Tung-Striebel and Forward-Backward smoother counter-parts for each filter, which can be used to smooth the previous state estimates, after obtaining new measurements. The usage and function of each method are illustrated with five demonstrations problems. 1
标签： documentation mathematical for filtering
上传时间： 2013-12-10
上传用户：zxc23456789
observable distribution grid are investigated. A distribution grid is observable if the state of the grid can be fully determined. For the simulations, the modified 34-bus IEEE test feeder is used. The measurements needed for the state estimation are generated by the ladder iterative technique. Two methods for the state estimation are analyzed: Weighted Least Squares and Extended Kalman Filter. Both estimators try to find the most probable state based on the available measurements. The result is that the Kalman filter mostly needs less iterations and calculation time. The disadvantage of the Kalman filter is that it needs some foreknowlegde about the state.
标签： distribution observable grid investigated
上传时间： 2014-12-08
上传用户：ls530720646
雷达数据处理的重要模型算法之一，该代码对imm算法的不同参数下进行了详细的仿真。
上传时间： 2014-11-29
上传用户：ruixue198909
