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文件名称:ReBEL_0-2-6

修正介绍说明

介绍说明－－下载内容来自于网络，使用问题请自行百度

ReBEL is a Matlabtoolkit of functions and scr ipts, designed to

facilitate sequential Bayesian inference (estimation) in general state

space models. This software consolidates research on new methods for

recursive Bayesian estimation and Kalman filtering by Rudolph van der

Merwe and Eric A. Wan. The code is developed and maintained by Rudolph

van der Merwe at the OGI School of Science & Engineering at OHSU

(Oregon Health & Science University).

-ReBEL is a Matlabtoolkit of functions and s cripts. designed to facilitate in sequential Bayesian ference (estimation) in general state space mo dels. This software consolidates research on n ew methods for Bayesian estimation a recursive nd Kalman filtering by Rudolph and van der Merwe Eric A. Wan. The code is developed and maintaine d by Rudolph van der Merwe at the OGI School of Sci ence
(系统自动生成,下载前可以参看下载内容)

下载文件列表

ReBEL-0.2.6/
ReBEL-0.2.6/Bugfixes
ReBEL-0.2.6/ChangeLog
ReBEL-0.2.6/core/
ReBEL-0.2.6/core/addangle.m
ReBEL-0.2.6/core/addrelpath.m
ReBEL-0.2.6/core/cdkf.m
ReBEL-0.2.6/core/checkdups.m
ReBEL-0.2.6/core/checkstructfields.m
ReBEL-0.2.6/core/consistent.m
ReBEL-0.2.6/core/Contents.m
ReBEL-0.2.6/core/convgausns.m
ReBEL-0.2.6/core/cvecrep.m
ReBEL-0.2.6/core/datamat.m
ReBEL-0.2.6/core/ekf.m
ReBEL-0.2.6/core/fixinfds.m
ReBEL-0.2.6/core/gauseval.m
ReBEL-0.2.6/core/gaussample.m
ReBEL-0.2.6/core/geninfds.m
ReBEL-0.2.6/core/gennoiseds.m
ReBEL-0.2.6/core/gensysnoiseds.m
ReBEL-0.2.6/core/gmmfit.m
ReBEL-0.2.6/core/gmminitialize.m
ReBEL-0.2.6/core/gmmprobability.m
ReBEL-0.2.6/core/gmmsample.m
ReBEL-0.2.6/core/gmsppf.m
ReBEL-0.2.6/core/gmsppf2.m
ReBEL-0.2.6/core/gspf.m
ReBEL-0.2.6/core/gssm.m
ReBEL-0.2.6/core/kf.m
ReBEL-0.2.6/core/mlpff.m
ReBEL-0.2.6/core/mlpindexgen.m
ReBEL-0.2.6/core/mlpjacobian.m
ReBEL-0.2.6/core/mlppack.m
ReBEL-0.2.6/core/mlpunpack.m
ReBEL-0.2.6/core/mlpweightinit.m
ReBEL-0.2.6/core/pf.m
ReBEL-0.2.6/core/remrelpath.m
ReBEL-0.2.6/core/residualresample.m
ReBEL-0.2.6/core/rvecrep.m
ReBEL-0.2.6/core/sppf.m
ReBEL-0.2.6/core/srcdkf.m
ReBEL-0.2.6/core/srukf.m
ReBEL-0.2.6/core/stringmatch.m
ReBEL-0.2.6/core/subangle.m
ReBEL-0.2.6/core/ukf.m
ReBEL-0.2.6/docs/
ReBEL-0.2.6/docs/online_docs.txt
ReBEL-0.2.6/examples/
ReBEL-0.2.6/examples/Contents.m
ReBEL-0.2.6/examples/data/
ReBEL-0.2.6/examples/data/mg30_6-4-1_model.mat
ReBEL-0.2.6/examples/data/mg30_normalized.mat
ReBEL-0.2.6/examples/data/speech_data.mat
ReBEL-0.2.6/examples/dual_estimation/
ReBEL-0.2.6/examples/dual_estimation/demspeech_dual.m
ReBEL-0.2.6/examples/gssm/
ReBEL-0.2.6/examples/gssm/gssm_bft.m
ReBEL-0.2.6/examples/gssm/gssm_bot.m
ReBEL-0.2.6/examples/gssm/gssm_brt.m
ReBEL-0.2.6/examples/gssm/gssm_lti1.m
ReBEL-0.2.6/examples/gssm/gssm_mackey_glass.m
ReBEL-0.2.6/examples/gssm/gssm_n1.m
ReBEL-0.2.6/examples/gssm/gssm_speech_linear.m
ReBEL-0.2.6/examples/gssm/infds_train_nn.m
ReBEL-0.2.6/examples/joint_estimation/
ReBEL-0.2.6/examples/joint_estimation/demje1.m
ReBEL-0.2.6/examples/joint_estimation/demje2.m
ReBEL-0.2.6/examples/parameter_estimation/
ReBEL-0.2.6/examples/parameter_estimation/dempe1.m
ReBEL-0.2.6/examples/parameter_estimation/dempe2.m
ReBEL-0.2.6/examples/state_estimation/
ReBEL-0.2.6/examples/state_estimation/demse1.m
ReBEL-0.2.6/examples/state_estimation/demse2.m
ReBEL-0.2.6/examples/state_estimation/demse3.m
ReBEL-0.2.6/examples/state_estimation/demse4.m
ReBEL-0.2.6/examples/state_estimation/demse5.m
ReBEL-0.2.6/INSTALL
ReBEL-0.2.6/LICENSE
ReBEL-0.2.6/netlab/
ReBEL-0.2.6/netlab/conffig.m
ReBEL-0.2.6/netlab/confmat.m
ReBEL-0.2.6/netlab/conjgrad.m
ReBEL-0.2.6/netlab/consist.m
ReBEL-0.2.6/netlab/Contents.m
ReBEL-0.2.6/netlab/datread.m
ReBEL-0.2.6/netlab/datwrite.m
ReBEL-0.2.6/netlab/dem2ddat.m
ReBEL-0.2.6/netlab/demard.m
ReBEL-0.2.6/netlab/demev1.m
ReBEL-0.2.6/netlab/demev2.m
ReBEL-0.2.6/netlab/demev3.m
ReBEL-0.2.6/netlab/demgauss.m
ReBEL-0.2.6/netlab/demglm1.m
ReBEL-0.2.6/netlab/demglm2.m
ReBEL-0.2.6/netlab/demgmm1.m
ReBEL-0.2.6/netlab/demgmm2.m
ReBEL-0.2.6/netlab/demgmm3.m
ReBEL-0.2.6/netlab/demgmm4.m
ReBEL-0.2.6/netlab/demgmm5.m
ReBEL-0.2.6/netlab/demgp.m
ReBEL-0.2.6/netlab/demgpard.m
ReBEL-0.2.6/netlab/demgpot.m
ReBEL-0.2.6/netlab/demgtm1.m
ReBEL-0.2.6/netlab/demgtm2.m
ReBEL-0.2.6/netlab/demhint.m
ReBEL-0.2.6/netlab/demhmc1.m
ReBEL-0.2.6/netlab/demhmc2.m
ReBEL-0.2.6/netlab/demhmc3.m
ReBEL-0.2.6/netlab/demkmn1.m
ReBEL-0.2.6/netlab/demknn1.m
ReBEL-0.2.6/netlab/demmdn1.m
ReBEL-0.2.6/netlab/demmet1.m
ReBEL-0.2.6/netlab/demmlp1.m
ReBEL-0.2.6/netlab/demmlp2.m
ReBEL-0.2.6/netlab/demnlab.m
ReBEL-0.2.6/netlab/demns1.m
ReBEL-0.2.6/netlab/demolgd1.m
ReBEL-0.2.6/netlab/demopt1.m
ReBEL-0.2.6/netlab/dempot.m
ReBEL-0.2.6/netlab/demprgp.m
ReBEL-0.2.6/netlab/demprior.m
ReBEL-0.2.6/netlab/demrbf1.m
ReBEL-0.2.6/netlab/demsom1.m
ReBEL-0.2.6/netlab/demtrain.m
ReBEL-0.2.6/netlab/dist2.m
ReBEL-0.2.6/netlab/eigdec.m
ReBEL-0.2.6/netlab/errbayes.m
ReBEL-0.2.6/netlab/evidence.m
ReBEL-0.2.6/netlab/fevbayes.m
ReBEL-0.2.6/netlab/gauss.m
ReBEL-0.2.6/netlab/gbayes.m
ReBEL-0.2.6/netlab/glm.m
ReBEL-0.2.6/netlab/glmderiv.m
ReBEL-0.2.6/netlab/glmerr.m
ReBEL-0.2.6/netlab/glmevfwd.m
ReBEL-0.2.6/netlab/glmfwd.m
ReBEL-0.2.6/netlab/glmgrad.m
ReBEL-0.2.6/netlab/glmhess.m
ReBEL-0.2.6/netlab/glminit.m
ReBEL-0.2.6/netlab/glmpak.m
ReBEL-0.2.6/netlab/glmtrain.m
ReBEL-0.2.6/netlab/glmunpak.m
ReBEL-0.2.6/netlab/gmm.m
ReBEL-0.2.6/netlab/gmmactiv.m
ReBEL-0.2.6/netlab/gmmem.m
ReBEL-0.2.6/netlab/gmminit.m
ReBEL-0.2.6/netlab/gmmpak.m
ReBEL-0.2.6/netlab/gmmpost.m
ReBEL-0.2.6/netlab/gmmprob.m
ReBEL-0.2.6/netlab/gmmsamp.m
ReBEL-0.2.6/netlab/gmmunpak.m
ReBEL-0.2.6/netlab/gp.m
ReBEL-0.2.6/netlab/gpcovar.m
ReBEL-0.2.6/netlab/gpcovarf.m
ReBEL-0.2.6/netlab/gpcovarp.m
ReBEL-0.2.6/netlab/gperr.m
ReBEL-0.2.6/netlab/gpfwd.m
ReBEL-0.2.6/netlab/gpgrad.m
ReBEL-0.2.6/netlab/gpinit.m
ReBEL-0.2.6/netlab/gppak.m
ReBEL-0.2.6/netlab/gpunpak.m
ReBEL-0.2.6/netlab/gradchek.m
ReBEL-0.2.6/netlab/graddesc.m
ReBEL-0.2.6/netlab/gsamp.m
ReBEL-0.2.6/netlab/gtm.m
ReBEL-0.2.6/netlab/gtmem.m
ReBEL-0.2.6/netlab/gtmfwd.m
ReBEL-0.2.6/netlab/g

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