This a collection of MATLAB functions for extended Kalman filtering, unscented Kalman filtering, PARticle filtering, and miscellaneous other things. These utilities are designed for reuse and I have found them very useful in many projects. The code has been vectorised for speed and is stable and fast.
標簽： filtering Kalman collection functions
上傳時間： 2013-12-23
上傳用戶：ljmwh2000
Debugging is a fascinating topic no matter what language or platform you re using. It s the only PARt of software development in which engineers kick, scream at, or even throw their computers. For a normally reticent, introverted group, this degree of emotion is extraordinary. Debugging is also the PARt of software development that s famous for causing you to pull all-nighter
標簽： fascinating Debugging language platform
上傳時間： 2013-12-19
上傳用戶：xieguodong1234
On-Line MCMC Bayesian Model Selection This demo demonstrates how to use the sequential Monte Carlo algorithm with reversible jump MCMC steps to perform model selection in neural networks. We treat both the model dimension (number of neurons) and model PARameters as unknowns. The derivation and details are presented in: Christophe Andrieu, Nando de Freitas and Arnaud Doucet. Sequential Bayesian Estimation and Model Selection Applied to Neural Networks . Technical report CUED/F-INFENG/TR 341, Cambridge University DePARtment of Engineering, June 1999. After downloading the file, type "tar -xf version2.tar" to uncompress it. This creates the directory version2 containing the required m files. Go to this directory, load matlab5 and type "smcdemo1". In the header of the demo file, one can select to monitor the simulation progress (with PAR.doPlot=1) and modify the simulation PARameters.
標簽： demonstrates sequential Selection Bayesian
上傳時間： 2016-04-07
上傳用戶：lindor
This demo nstrates how to use the sequential Monte Carlo algorithm with reversible jump MCMC steps to perform model selection in neural networks. We treat both the model dimension (number of neurons) and model PARameters as unknowns. The derivation and details are presented in: Christophe Andrieu, Nando de Freitas and Arnaud Doucet. Sequential Bayesian Estimation and Model Selection Applied to Neural Networks . Technical report CUED/F-INFENG/TR 341, Cambridge University DePARtment of Engineering, June 1999. After downloading the file, type "tar -xf version2.tar" to uncompress it. This creates the directory version2 containing the required m files. Go to this directory, load matlab5 and type "smcdemo1". In the header of the demo file, one can select to monitor the simulation progress (with PAR.doPlot=1) and modify the simulation PARameters.
標簽： sequential reversible algorithm nstrates
上傳時間： 2014-01-18
上傳用戶：康郎
This demo nstrates the use of the reversible jump MCMC algorithm for neural networks. It uses a hierarchical full Bayesian model for neural networks. This model treats the model dimension (number of neurons), model PARameters, regularisation PARameters and noise PARameters as random variables that need to be estimated. The derivations and proof of geometric convergence are presented, in detail, in: Christophe Andrieu, Nando de Freitas and Arnaud Doucet. Robust Full Bayesian Learning for Neural Networks. Technical report CUED/F-INFENG/TR 343, Cambridge University DePARtment of Engineering, May 1999. After downloading the file, type "tar -xf rjMCMC.tar" to uncompress it. This creates the directory rjMCMC containing the required m files. Go to this directory, load matlab5 and type "rjdemo1". In the header of the demo file, one can select to monitor the simulation progress (with PAR.doPlot=1) and modify the simulation PARameters.
標簽： reversible algorithm the nstrates
上傳時間： 2014-01-08
上傳用戶：cuibaigao
The files include LDPC that using different approach to finish its decoding.And the approach is PARallel.
標簽： approach different decoding include
上傳時間： 2016-05-06
上傳用戶：zmy123
三星公司官方 GIVEIO.SYS源代碼下載。 In windows NT/2000/XP, any application can’t access the I/O such as the PARallel port. So, GIVEIO.SYS enables SJF.exe to access the PARallel port without any memory fault. In windows 95/98, GIVEIO.SYS isn’t needed.
標簽： application the windows GIVEIO
上傳時間： 2014-01-11
上傳用戶：yd19890720
What I am trying to introduce here is a full fledged Java Instant messenger, which has all the features supplied by commercial messengers like Yahoo or MSN. Although it cannot comPARed to be in PAR with those messengers, it is an attempt by me to learn Advanced Java and JNI concepts. The challenges I faced here were often overcome by referring to numerous sites, which nearly zeroes in or completely solved the issues I faced at that point of time. It improved my learning curve and also believe would do the same to you too. Ofcourse, there are some bugs and glitches, which I hope you would excuse. Thanks to anyone who takes the pain to report them or even suggest better way of doing things to me.
標簽： introduce messenger Instant fledged
上傳時間： 2014-12-05
上傳用戶：電子世界
Et voil脿, nous sommes PARtis ensemble pour cette grande aventure qu鈥檈st la programmation des PIC PARt1
標簽： programmation ensemble aventure grande
上傳時間： 2014-01-13
上傳用戶：ardager
Et voil脿, nous sommes PARtis ensemble pour cette grande aventure qu鈥檈st la programmation des PIC PART2
標簽： programmation ensemble aventure grande
上傳時間： 2017-03-12
上傳用戶：亞亞娟娟123
