文件名称:ReBEL_0-2-6
- 所属分类：
- 人工智能/神经网络/遗传算法
- 资源属性：
- [Matlab] [源码]
- 上传时间：
- 2012-11-26
- 文件大小：
- 478kb
- 下载次数：
- 0次
- 提 供 者：
- 薛*
- 相关连接：
- 无
- 下载说明：
- 别用迅雷下载，失败请重下，重下不扣分！
介绍说明－－下载内容均来自于网络，请自行研究使用
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
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
相关搜索： rebel
ReBEL-0
2
7
MATLAB
bayesian
ESTIMATION
rebel
o
Recursive
Bayesian
Estimation
bayesian
pcafacerecognisematlab
rar
ReBEL-0
2
7
MATLAB
bayesian
ESTIMATION
rebel
o
Recursive
Bayesian
Estimation
bayesian
pcafacerecognisematlab
rar
(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
...........\Bugfixes
...........\ChangeLog
...........\core
...........\....\addangle.m
...........\....\addrelpath.m
...........\....\cdkf.m
...........\....\checkdups.m
...........\....\checkstructfields.m
...........\....\consistent.m
...........\....\Contents.m
...........\....\convgausns.m
...........\....\cvecrep.m
...........\....\datamat.m
...........\....\ekf.m
...........\....\fixinfds.m
...........\....\gauseval.m
...........\....\gaussample.m
...........\....\geninfds.m
...........\....\gennoiseds.m
...........\....\gensysnoiseds.m
...........\....\gmmfit.m
...........\....\gmminitialize.m
...........\....\gmmprobability.m
...........\....\gmmsample.m
...........\....\gmsppf.m
...........\....\gmsppf2.m
...........\....\gspf.m
...........\....\gssm.m
...........\....\kf.m
...........\....\mlpff.m
...........\....\mlpindexgen.m
...........\....\mlpjacobian.m
...........\....\mlppack.m
...........\....\mlpunpack.m
...........\....\mlpweightinit.m
...........\....\pf.m
...........\....\remrelpath.m
...........\....\residualresample.m
...........\....\rvecrep.m
...........\....\sppf.m
...........\....\srcdkf.m
...........\....\srukf.m
...........\....\stringmatch.m
...........\....\subangle.m
...........\....\ukf.m
...........\docs
...........\....\online_docs.txt
...........\examples
...........\........\Contents.m
...........\........\data
...........\........\....\mg30_6-4-1_model.mat
...........\........\....\mg30_normalized.mat
...........\........\....\speech_data.mat
...........\........\dual_estimation
...........\........\...............\demspeech_dual.m
...........\........\gssm
...........\........\....\gssm_bft.m
...........\........\....\gssm_bot.m
...........\........\....\gssm_brt.m
...........\........\....\gssm_lti1.m
...........\........\....\gssm_mackey_glass.m
...........\........\....\gssm_n1.m
...........\........\....\gssm_speech_linear.m
...........\........\....\infds_train_nn.m
...........\........\joint_estimation
...........\........\................\demje1.m
...........\........\................\demje2.m
...........\........\parameter_estimation
...........\........\....................\dempe1.m
...........\........\....................\dempe2.m
...........\........\state_estimation
...........\........\................\demse1.m
...........\........\................\demse2.m
...........\........\................\demse3.m
...........\........\................\demse4.m
...........\........\................\demse5.m
...........\INSTALL
...........\LICENSE
...........\netlab
...........\......\conffig.m
...........\......\confmat.m
...........\......\conjgrad.m
...........\......\consist.m
...........\......\Contents.m
...........\......\datread.m
...........\......\datwrite.m
...........\......\dem2ddat.m
...........\......\demard.m
...........\......\demev1.m
...........\......\demev2.m
...........\......\demev3.m
...........\......\demgauss.m
...........\......\demglm1.m
...........\......\demglm2.m
...........\......\demgmm1.m
...........\......\demgmm2.m
...........\......\demgmm3.m
...........\......\demgmm4.m
...........\......\demgmm5.m
...........\Bugfixes
...........\ChangeLog
...........\core
...........\....\addangle.m
...........\....\addrelpath.m
...........\....\cdkf.m
...........\....\checkdups.m
...........\....\checkstructfields.m
...........\....\consistent.m
...........\....\Contents.m
...........\....\convgausns.m
...........\....\cvecrep.m
...........\....\datamat.m
...........\....\ekf.m
...........\....\fixinfds.m
...........\....\gauseval.m
...........\....\gaussample.m
...........\....\geninfds.m
...........\....\gennoiseds.m
...........\....\gensysnoiseds.m
...........\....\gmmfit.m
...........\....\gmminitialize.m
...........\....\gmmprobability.m
...........\....\gmmsample.m
...........\....\gmsppf.m
...........\....\gmsppf2.m
...........\....\gspf.m
...........\....\gssm.m
...........\....\kf.m
...........\....\mlpff.m
...........\....\mlpindexgen.m
...........\....\mlpjacobian.m
...........\....\mlppack.m
...........\....\mlpunpack.m
...........\....\mlpweightinit.m
...........\....\pf.m
...........\....\remrelpath.m
...........\....\residualresample.m
...........\....\rvecrep.m
...........\....\sppf.m
...........\....\srcdkf.m
...........\....\srukf.m
...........\....\stringmatch.m
...........\....\subangle.m
...........\....\ukf.m
...........\docs
...........\....\online_docs.txt
...........\examples
...........\........\Contents.m
...........\........\data
...........\........\....\mg30_6-4-1_model.mat
...........\........\....\mg30_normalized.mat
...........\........\....\speech_data.mat
...........\........\dual_estimation
...........\........\...............\demspeech_dual.m
...........\........\gssm
...........\........\....\gssm_bft.m
...........\........\....\gssm_bot.m
...........\........\....\gssm_brt.m
...........\........\....\gssm_lti1.m
...........\........\....\gssm_mackey_glass.m
...........\........\....\gssm_n1.m
...........\........\....\gssm_speech_linear.m
...........\........\....\infds_train_nn.m
...........\........\joint_estimation
...........\........\................\demje1.m
...........\........\................\demje2.m
...........\........\parameter_estimation
...........\........\....................\dempe1.m
...........\........\....................\dempe2.m
...........\........\state_estimation
...........\........\................\demse1.m
...........\........\................\demse2.m
...........\........\................\demse3.m
...........\........\................\demse4.m
...........\........\................\demse5.m
...........\INSTALL
...........\LICENSE
...........\netlab
...........\......\conffig.m
...........\......\confmat.m
...........\......\conjgrad.m
...........\......\consist.m
...........\......\Contents.m
...........\......\datread.m
...........\......\datwrite.m
...........\......\dem2ddat.m
...........\......\demard.m
...........\......\demev1.m
...........\......\demev2.m
...........\......\demev3.m
...........\......\demgauss.m
...........\......\demglm1.m
...........\......\demglm2.m
...........\......\demgmm1.m
...........\......\demgmm2.m
...........\......\demgmm3.m
...........\......\demgmm4.m
...........\......\demgmm5.m