文件列表:

Kalman (0, 2009-04-15)
Kalman\tracking_demo.m (1960, 2003-01-18)
Kalman\testKalman.m (28, 2005-06-09)
Kalman\SS_to_AR.m (579, 2002-05-29)
Kalman\smooth_update.m (1199, 2002-05-29)
Kalman\sample_lds.m (1797, 2003-01-24)
Kalman\learn_kalman.m (5515, 2006-08-24)
Kalman\learn_AR_diagonal.m (687, 2002-05-29)
Kalman\learn_AR.m (819, 2002-05-29)
Kalman\learning_demo.m (1022, 2002-10-23)
Kalman\kalman_update.m (1840, 2002-05-29)
Kalman\kalman_smoother.m (1584, 2002-05-29)
Kalman\kalman_forward_backward.m (2392, 2002-11-01)
Kalman\eval_AR_perf.m (1045, 2002-05-29)
Kalman\ensure_AR.m (354, 2002-05-29)
Kalman\convert_to_lagged_form.m (425, 2002-05-29)
Kalman\AR_to_SS.m (1107, 2002-05-29)

Kalman filter toolbox written by Kevin Murphy, 19***. 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.

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