文件名称:Kalman
介绍说明－－下载内容均来自于网络，请自行研究使用
Kalman filter toolbox written by Kevin Murphy, 1998.
See http://www.ai.mit.edu/~murphyk/Software/kalman.html for details.
Installation
------------
1. Install KPMtools from http://www.ai.mit.edu/~murphyk/Software/KPMtools.html
3. Assuming you installed all these files in your matlab directory, In Matlab type
addpath matlab/KPMtools
addpath matlab/Kalman
Demos
-----
See tracking_demo.m for a demo of 2D tracking.
See learning_demo.m for a demo of parameter estimation using EM.
较早版本的kalman滤波matlab源码，适合研读。
See http://www.ai.mit.edu/~murphyk/Software/kalman.html for details.
Installation
------------
1. Install KPMtools from http://www.ai.mit.edu/~murphyk/Software/KPMtools.html
3. Assuming you installed all these files in your matlab directory, In Matlab type
addpath matlab/KPMtools
addpath matlab/Kalman
Demos
-----
See tracking_demo.m for a demo of 2D tracking.
See learning_demo.m for a demo of parameter estimation using EM.
较早版本的kalman滤波matlab源码，适合研读。
(系统自动生成,下载前可以参看下载内容)
下载文件列表
压缩包 : 67506271kalman.rar 列表 Kalman\AR_to_SS.m Kalman\convert_to_lagged_form.m Kalman\ensure_AR.m Kalman\eval_AR_perf.m Kalman\kalman_filter.m Kalman\kalman_forward_backward.m Kalman\kalman_smoother.m Kalman\kalman_update.m Kalman\learning_demo.m Kalman\learn_AR.m Kalman\learn_AR_diagonal.m Kalman\learn_kalman.m Kalman\README.txt Kalman\README.txt~ Kalman\sample_lds.m Kalman\smooth_update.m Kalman\SS_to_AR.m Kalman\tracking_demo.m Kalman