LTE_channel_model-and-predictor

说明：  关于matlab学习方面的资料！谢谢支持！(Matlab learning on the information! Thank you support!)

这是一篇讲解Matlab的一些简单的使用操作以及程序，对新手是很好的。(This is one to explain the use of some simple Matlab operations and procedures, the novice is very good.)

convert Lab space to XYZ space

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. (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. )

直线一级倒立摆稳摆控制的MATLAB仿真图(Linear stability of inverted pendulum chart pendulum control of the MATLAB simulation)

optimization of function by PSO

有关matlab的相关知识的汇总内容比较基础易学比较容易掌握(Summary of the basis of knowledge about matlab)

fast bilateral filter for image denoising

ofdm基本功能,可以展示ofdm的基本功能图形并茂。(that is a foundamental techology)

this simulation code can detect teta for active filter