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Kalman

于 2012-01-31 发布 文件大小:589KB
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下载积分: 1 下载次数: 5

代码说明:

  this code give an implementation of kalman filter in matlab. the complete set of matlab tools useful for implementationof matlab are available with this file

文件列表:

Kalman
......\KalmanAll
......\.........\Kalman
......\.........\......\AR_to_SS.m,1107,2002-05-29
......\.........\......\convert_to_lagged_form.m,425,2002-05-29
......\.........\......\ensure_AR.m,354,2002-05-29
......\.........\......\eval_AR_perf.m,1045,2002-05-29
......\.........\......\kalman_filter.m,2899,2002-05-29
......\.........\......\kalman_forward_backward.m,2392,2002-11-01
......\.........\......\kalman_smoother.m,1584,2002-05-29
......\.........\......\kalman_update.m,1840,2002-05-29
......\.........\......\learning_demo.m,1022,2002-10-23
......\.........\......\learn_AR.m,819,2002-05-29
......\.........\......\learn_AR_diagonal.m,687,2002-05-29
......\.........\......\learn_kalman.m,5515,2006-08-24
......\.........\......\README.txt,485,2004-06-07
......\.........\......\README.txt~,535,2003-01-18
......\.........\......\sample_lds.m,1797,2003-01-24
......\.........\......\smooth_update.m,1199,2002-05-29
......\.........\......\SS_to_AR.m,579,2002-05-29
......\.........\......\testKalman.m,28,2005-06-09
......\.........\......\tracking_demo.m,1960,2003-01-18
......\.........\KPMstats
......\.........\........\#histCmpChi2.m#,267,2005-05-03
......\.........\........\beta_sample.m,1955,2005-04-26
......\.........\........\chisquared_histo.m,199,2005-04-26
......\.........\........\chisquared_prob.m,1326,2005-04-26
......\.........\........\chisquared_readme.txt,1389,2005-04-26
......\.........\........\chisquared_table.m,2127,2005-04-26
......\.........\........\clg_Mstep.m,5884,2005-04-26
......\.........\........\clg_Mstep_simple.m,1463,2005-04-26
......\.........\........\clg_prob.m,421,2005-04-26
......\.........\........\condGaussToJoint.m,646,2005-04-26
......\.........\........\condgaussTrainObserved.m,908,2005-04-26
......\.........\........\condgauss_sample.m,351,2005-04-26
......\.........\........\cond_indep_fisher_z.m,3789,2005-04-26
......\.........\........\convertBinaryLabels.m,101,2005-04-26
......\.........\........\CVS
......\.........\........\...\Entries,3587,2005-04-27
......\.........\........\...\Entries.Extra,1922,2005-04-27
......\.........\........\...\Entries.Extra.Old,0,2005-04-27
......\.........\........\...\Entries.Old,0,2005-04-27
......\.........\........\...\Repository,10,2005-04-27
......\.........\........\...\Root,51,2005-04-27
......\.........\........\...\Template,0,2005-06-05
......\.........\........\cwr_demo.m,3513,2005-04-26
......\.........\........\cwr_em.m,4912,2005-04-26
......\.........\........\cwr_predict.m,1677,2005-04-26
......\.........\........\cwr_prob.m,1011,2005-04-26
......\.........\........\cwr_readme.txt,534,2005-04-26
......\.........\........\cwr_test.m,2436,2005-04-26
......\.........\........\dirichletpdf.m,1049,2005-05-22
......\.........\........\dirichletrnd.m,1049,2005-05-22
......\.........\........\dirichlet_sample.m,582,2005-04-26
......\.........\........\distchck.m,3836,2005-04-26
......\.........\........\eigdec.m,1535,2005-04-26
......\.........\........\est_transmat.m,535,2005-04-26
......\.........\........\fit_paritioned_model_testfn.m,103,2005-04-26
......\.........\........\fit_partitioned_model.m,2290,2005-04-26
......\.........\........\gamma_sample.m,3144,2005-04-26
......\.........\........\gaussian_prob.m,848,2005-04-26
......\.........\........\gaussian_sample.m,659,2005-04-26
......\.........\........\histCmpChi2.m,394,2005-05-03
......\.........\........\histCmpChi2.m~,353,2005-05-03
......\.........\........\KLgauss.m,342,2005-04-26
......\.........\........\linear_regression.m,2038,2005-04-26
......\.........\........\logist2.m,3050,2005-04-26
......\.........\........\logist2Apply.m,365,2005-04-26
......\.........\........\logist2ApplyRegularized.m,91,2005-04-26
......\.........\........\logist2Fit.m,593,2005-04-26
......\.........\........\logist2FitRegularized.m,411,2005-04-26
......\.........\........\logistK.m,7540,2005-04-26
......\.........\........\logistK_eval.m,2372,2005-04-26
......\.........\........\marginalize_gaussian.m,293,2005-04-26
......\.........\........\matrix_normal_pdf.m,346,2005-04-26
......\.........\........\matrix_T_pdf.m,430,2005-04-26
......\.........\........\mc_stat_distrib.m,790,2005-04-26
......\.........\........\mixgauss_classifier_apply.m,534,2005-04-26
......\.........\........\mixgauss_classifier_train.m,1377,2005-04-26
......\.........\........\mixgauss_em.m,2252,2005-04-26
......\.........\........\mixgauss_init.m,1357,2005-04-26
......\.........\........\mixgauss_Mstep.m,3283,2005-04-26
......\.........\........\mixgauss_prob.m,4102,2005-04-26
......\.........\........\mixgauss_prob_test.m,2320,2005-04-26
......\.........\........\mixgauss_sample.m,734,2005-04-26
......\.........\........\mkPolyFvec.m,576,2005-04-26
......\.........\........\mk_unit_norm.m,280,2005-04-26
......\.........\........\multinomial_prob.m,567,2005-04-26
......\.........\........\multinomial_sample.m,577,2005-04-26
......\.........\........\multipdf.m,1192,2005-05-22
......\.........\........\multirnd.m,1161,2005-05-22
......\.........\........\normal_coef.m,205,2005-04-26
......\.........\........\partial_corr_coef.m,844,2005-04-26
......\.........\........\parzen.m,2478,2005-04-26
......\.........\........\parzenC.c,2790,2005-04-26
......\.........\........\parzenC.dll,229862,2005-04-26
......\.........\........\parzenC.mexglx,20215,2005-04-26
......\.........\........\parzenC_test.m,250,2005-04-26
......\.........\........\parzen_fit_select_unif.m,1668,2005-04-26
......\.........\........\pca.m,1077,2005-04-26

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    非连续波导时间域有限差分法仿真(TD-FDM),入射波为理想高斯脉冲。经典之处在于利用matlab制作了电影文件,可以动画形式看到波的入射、反射以及透射状况。(Non-consecutive time waveguide FDTD simulation (TD-FDM), for an ideal Gaussian pulse incident. Classic is the use of matlab has produced a movie file, you can see an animation sequence of the incident wave, reflection and transmission status.)
    2007-12-09 13:14:57下载
    积分:1
  • Kalman_paper_simulate
    说明:  Kalman滤波器仿真研究,包括自己写的小论文及其详细的MATLAB程序仿真。(Kalman filter simulation studies, including a small paper to write my own detailed procedures for the MATLAB simulation.)
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    积分:1
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    完成了数字接收机的整个流程仿真,从调制,解调,下变频,抽样判决,鉴频的整个模块(To complete the entire process of digital receiver simulation, from the modulation, demodulation, downconversion, sample sentences, frequency of the module)
    2010-05-29 17:37:00下载
    积分:1
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    2007-06-23 12:49:26下载
    积分:1
  • Manual-MATLAB-GUIDE-[Ingles]
    manual matlap GUI ingles
    2013-10-19 00:13:11下载
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    rs figure....
    2012-01-28 19:04:00下载
    积分:1
  • 1
    说明:  基于MATLAB神经网络的工业现场数字字符识别,使用MATLAB工具,实现显示识别。(MATLAB Neural Network Based Character Recognition industrial field, use the MATLAB tools to achieve display identification.)
    2010-03-12 11:03:22下载
    积分:1
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    EProm 试验程序,调试成功,解释详细(EProm testing procedures, testing success, to explain in detail)
    2010-08-16 17:15:13下载
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    implementing color detection by using the hue technique
    2011-01-12 02:39:02下载
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