粒子濾波程序，仿真實現自由度機器人對目標的跟蹤，使用kalman濾波估計總雅可比矩陣J，噪聲為非高斯噪聲
上傳時間： 2014-01-25
上傳用戶：頂得柱
介紹一些常用的數值計算方法，包括用FFT計算離散傅立葉(Fourier)變換，kalman濾波，alpha-beida-ganma濾波
上傳時間： 2014-01-06
上傳用戶：sammi
一個很不錯的程序，用于kalman仿真，希望大家喜歡。
標簽： 程序
上傳時間： 2017-01-21
上傳用戶：woshiayin
一個很不錯的程序，用于kalman仿真，希望大家喜歡。
標簽： 程序
上傳時間： 2014-01-14
上傳用戶：chenlong
各種濾波器，包括LMS、RLS、Wiener,Kalman,Median等濾波器源碼，都是原創
標簽： 濾波器
上傳時間： 2013-12-19
上傳用戶：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.
標簽： probabilistic distributed large-scale dynamical
上傳時間： 2014-01-12
上傳用戶：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
標簽： documentation mathematical for filtering
上傳時間： 2014-01-20
上傳用戶：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
標簽： documentation mathematical for filtering
上傳時間： 2013-12-10
上傳用戶：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.
標簽： distribution observable grid investigated
上傳時間： 2014-12-08
上傳用戶：ls530720646
雷達數據處理的重要模型算法之一，該代碼對imm算法的不同參數下進行了詳細的仿真。
上傳時間： 2014-11-29
上傳用戶：ruixue198909
