登录
首页 » matlab » Kalman-filter-All

Kalman-filter-All

于 2010-07-13 发布 文件大小:248KB
0 287
下载积分: 1 下载次数: 166

代码说明:

  本文件包含卡尔曼自适应滤波的所有程序及应用实例,是学习卡尔曼滤波的经典MATLAB程序(This document contains all the procedures Kalman adaptive filtering and its application, is to learn the classical Kalman filter MATLAB program)

文件列表:

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,28,2005-06-08
.........\......\tracking_demo.m,1960,2003-01-18
.........\KPMstats
.........\........\#histCmpChi2.m#,267,2005-05-03
.........\........\beta_sample.m,1955,2005-04-25
.........\........\chisquared_histo.m,199,2005-04-25
.........\........\chisquared_prob.m,1326,2005-04-25
.........\........\chisquared_readme.txt,1389,2005-04-25
.........\........\chisquared_table.m,2127,2005-04-25
.........\........\clg_Mstep.m,5884,2005-04-25
.........\........\clg_Mstep_simple.m,1463,2005-04-25
.........\........\clg_prob.m,421,2005-04-25
.........\........\condGaussToJoint.m,646,2005-04-25
.........\........\condgaussTrainObserved.m,908,2005-04-25
.........\........\condgauss_sample.m,351,2005-04-25
.........\........\cond_indep_fisher_z.m,3789,2005-04-25
.........\........\convertBinaryLabels.m,101,2005-04-25
.........\........\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,3513,2005-04-25
.........\........\cwr_em.m,4912,2005-04-25
.........\........\cwr_predict.m,1677,2005-04-25
.........\........\cwr_prob.m,1011,2005-04-25
.........\........\cwr_readme.txt,534,2005-04-25
.........\........\cwr_test.m,2436,2005-04-25
.........\........\dirichletpdf.m,1049,2005-05-22
.........\........\dirichletrnd.m,1049,2005-05-22
.........\........\dirichlet_sample.m,582,2005-04-25
.........\........\distchck.m,3836,2005-04-25
.........\........\eigdec.m,1535,2005-04-25
.........\........\est_transmat.m,535,2005-04-25
.........\........\fit_paritioned_model_testfn.m,103,2005-04-25
.........\........\fit_partitioned_model.m,2290,2005-04-25
.........\........\gamma_sample.m,3144,2005-04-25
.........\........\gaussian_prob.m,848,2005-04-25
.........\........\gaussian_sample.m,659,2005-04-25
.........\........\histCmpChi2.m,394,2005-05-03
.........\........\histCmpChi2.m~,353,2005-05-03
.........\........\KLgauss.m,342,2005-04-25
.........\........\linear_regression.m,2038,2005-04-25
.........\........\logist2.m,3050,2005-04-25
.........\........\logist2Apply.m,365,2005-04-25
.........\........\logist2ApplyRegularized.m,91,2005-04-25
.........\........\logist2Fit.m,593,2005-04-25
.........\........\logist2FitRegularized.m,411,2005-04-25
.........\........\logistK.m,7540,2005-04-25
.........\........\logistK_eval.m,2372,2005-04-25
.........\........\marginalize_gaussian.m,293,2005-04-25
.........\........\matrix_normal_pdf.m,346,2005-04-25
.........\........\matrix_T_pdf.m,430,2005-04-25
.........\........\mc_stat_distrib.m,790,2005-04-25
.........\........\mixgauss_classifier_apply.m,534,2005-04-25
.........\........\mixgauss_classifier_train.m,1377,2005-04-25
.........\........\mixgauss_em.m,2252,2005-04-25
.........\........\mixgauss_init.m,1357,2005-04-25
.........\........\mixgauss_Mstep.m,3283,2005-04-25
.........\........\mixgauss_prob.m,4102,2005-04-25
.........\........\mixgauss_prob_test.m,2320,2005-04-25
.........\........\mixgauss_sample.m,734,2005-04-25
.........\........\mkPolyFvec.m,576,2005-04-25
.........\........\mk_unit_norm.m,280,2005-04-25
.........\........\multinomial_prob.m,567,2005-04-25
.........\........\multinomial_sample.m,577,2005-04-25
.........\........\multipdf.m,1192,2005-05-22
.........\........\multirnd.m,1161,2005-05-22
.........\........\normal_coef.m,205,2005-04-25
.........\........\partial_corr_coef.m,844,2005-04-25
.........\........\parzen.m,2478,2005-04-25
.........\........\parzenC.c,2790,2005-04-25
.........\........\parzenC.dll,49152,2005-04-25
.........\........\parzenC.mexglx,20215,2005-04-25
.........\........\parzenC_test.m,250,2005-04-25
.........\........\parzen_fit_select_unif.m,1668,2005-04-25
.........\........\pca.m,1077,2005-04-25
.........\........\README.txt,156,2005-04-25

下载说明:请别用迅雷下载,失败请重下,重下不扣分!

发表评论

0 个回复

  • 1
    说明:  lms/rls的自适应均衡算法仿真源代码,两个函数打包(lms/rls adaptive equalization algorithm simulation source code, two functions are packaged)
    2007-09-07 22:25:14下载
    积分:1
  • Experiment4.tar
    该文件是学习matlab的经典教材,国内无法找到,本人从国外所得。(this book is the classical textbook for matlab.it is easy to learn and grasp by matlab engineers.)
    2010-02-12 07:35:51下载
    积分:1
  • Rapson_numerical
    In this experiment our equation is f(x0)=x^3-3x-1.We have to find the real root of this equation between 1 and 2.The programme has been shown in the"new_rap" We have done the comparison between the Newton Rapson method the false position method
    2011-02-07 11:35:31下载
    积分:1
  • matlab-simulink
    介绍了matlab中如何使用simulink平台进行信号的仿真.(Describes how to use simulink matlab signal simulation platform.)
    2011-01-05 09:36:22下载
    积分:1
  • Discrete-Fourier-Transform-2D
    Implementation of Discrete fourier transform 2D (to images )
    2013-12-04 12:26:45下载
    积分:1
  • PSO
    粒子群算法,思路清晰,有详细的解释,便于理解(Particle swarm optimization, clear thinking, there is a detailed explanation, easy to understand)
    2014-01-15 09:43:25下载
    积分:1
  • EnergyNormalizationCepSpec
    Speech Recognition - Numbers 1 to 5 Energy normalization and time alignment References: [1] L. Rabiner and B.H. Juang,Fundamentals of Speech Recognition, Prentice-Hall, 1993. % [2] P.E. Papamichalis, Practical Approaches to Speech Coding, Prentice-Hall, 1987. % [3] J.D. Markel and A.H. Gray,Linear Prediction of Speech(Speech Recognition-Numbers 1 to 5 Energy n ormalization and time alignment References : [1] L. Paras and B. H. Juang, Fundamentals of Speech Recognition. Prentice-Hall, 1993. % [2] P. E. Papamichalis, Practical Approaches to Speech Coding, Prentice-Hall, 1987. % [3] J. D. Markel and A. H. Gray, Linear Prediction of Speech)
    2007-06-05 00:33:46下载
    积分:1
  • mfcc2delta
    In this work, the Mel frequency Cepstrum Coefficient (MFCC) feature has been used for designing a text dependent speaker identification system. The extracted speech features (MFCC’s) of a speaker are quantized to a number of centroids using vector quantization algorithm. These centroids constitute the codebook of that speaker. MFCC’s are calculated in training phase and again in testing phase. Speakers uttered same words once in a training session and once in a testing session later. The Euclidean distance between the MFCC’s of each speaker in training phase to the centroids of individual speaker in testing phase is measured and the speaker is identified according to the minimum Euclidean distance. The code is developed in the MATLAB environment and performs the identification satisfactorily.
    2015-02-03 22:43:42下载
    积分:1
  • PSO_VQ
    采用粒子群矢量量化算法生成图像矢量量化的最优码书,可以任意设定种群数与迭代代数。程序结果产生最优码书与平均误差。(Vector quantization using particle swarm algorithm for optimal image vector quantization code book, can set the number of stocks and iterative algebra. The results of the proceedings arising from the optimal codebook with an average error.)
    2007-08-23 19:40:53下载
    积分:1
  • ldpc_stbc
    本程序为实现LDPC编码和STBC,STBC采用2发2收天线,希望对大家有一定的帮助。(implement an STBC encoding/decoding scheme, LDPC coding before modulation and STBC next to decode them. )
    2009-04-27 09:59:12下载
    积分:1
  • 696516资源总数
  • 106914会员总数
  • 0今日下载