Kalmana

所属分类:数值算法/人工智能
开发工具:Windows_Unix
文件大小:537KB
下载次数:27
上传日期:2006-11-16 09:48:29
上 传 者xykiller
说明:  发现的KALman滤波源代码。很实用的。已经驶过了。
(found KALman Filtering source code. Very practical. Has been passing through a.)

文件列表:
Kalmanall (0, 2006-06-15)
Kalmanall\Kalman (0, 2006-10-26)
Kalmanall\Kalman\AR_to_SS.m (1107, 2002-05-29)
Kalmanall\Kalman\convert_to_lagged_form.m (425, 2002-05-29)
Kalmanall\Kalman\ensure_AR.m (354, 2002-05-29)
Kalmanall\Kalman\eval_AR_perf.m (1045, 2002-05-29)
Kalmanall\Kalman\kalman_filter.m (2899, 2006-06-14)
Kalmanall\Kalman\kalman_forward_backward.m (2392, 2002-11-01)
Kalmanall\Kalman\kalman_intro.pdf (144971, 2004-09-07)
Kalmanall\Kalman\kalman_smoother.m (1584, 2002-05-29)
Kalmanall\Kalman\kalman_update.m (1840, 2002-05-29)
Kalmanall\Kalman\learning_demo.m (1022, 2002-10-23)
Kalmanall\Kalman\learn_AR.m (819, 2002-05-29)
Kalmanall\Kalman\learn_AR_diagonal.m (687, 2002-05-29)
Kalmanall\Kalman\learn_kalman.m (5498, 2002-05-29)
Kalmanall\Kalman\sample_lds.m (1797, 2003-01-24)
Kalmanall\Kalman\smooth_update.m (1199, 2002-05-29)
Kalmanall\Kalman\SS_to_AR.m (579, 2002-05-29)
Kalmanall\Kalman\tracking_demo.m (1960, 2003-01-18)
Kalmanall\KPMstats (0, 2006-06-14)
Kalmanall\KPMstats\KPMstats (0, 2004-06-07)
Kalmanall\KPMstats\KPMstats\#chisquared_histo.m# (136, 2004-02-23)
Kalmanall\KPMstats\KPMstats\#clg_Mstep.m# (5681, 2004-05-27)
Kalmanall\KPMstats\KPMstats\#clg_Mstep_simple.m# (2272, 2004-05-27)
Kalmanall\KPMstats\KPMstats\#condGaussToJoint.m# (588, 2004-05-13)
Kalmanall\KPMstats\KPMstats\#convertBinaryLabels.m# (50, 2004-06-01)
Kalmanall\KPMstats\KPMstats\#KLgauss.m# (469, 2004-05-13)
Kalmanall\KPMstats\KPMstats\#linear_regression.m# (1954, 2004-05-13)
Kalmanall\KPMstats\KPMstats\#logist2Apply.m# (352, 2004-06-01)
Kalmanall\KPMstats\KPMstats\#logist2ApplyRegularized.m# (88, 2004-04-20)
Kalmanall\KPMstats\KPMstats\#logist2FitRegularized.m# (398, 2004-06-01)
Kalmanall\KPMstats\KPMstats\#mixgauss_classifier_train.m# (1344, 2004-04-20)
Kalmanall\KPMstats\KPMstats\#mixgauss_em.m# (2185, 2004-04-20)
Kalmanall\KPMstats\KPMstats\#weightedRegression.m# (1285, 2004-05-27)
Kalmanall\KPMstats\KPMstats\beta_sample.m (1955, 2004-02-10)
Kalmanall\KPMstats\KPMstats\chisquared_histo.m (199, 2004-02-23)
Kalmanall\KPMstats\KPMstats\chisquared_histo.m~ (125, 2004-02-23)
Kalmanall\KPMstats\KPMstats\chisquared_prob.m (1291, 2003-07-28)
... ...

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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