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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. )

说明：  matlab 编程中常用的函数，不会时可以拿来看看(matlab normal fuction )

Shows single- and two-stage-decomposition of a sample image, as well as reconstructed branches. The reconstruction error is shown. Also demonstrates that better compression can often be obtained if different thresholds are allowed for different subbands.

matlab中的主成分分析法，有效的计算了以后预测问题，精度高。(matlab in the principal component analysis, effective after the prediction calculated with high precision.)

说明：  程序为了设置自定义的天线阵列模式，仿真了各种阵列形式的性能(Procedures in order to set up a custom antenna array model, simulation of various forms of performance arrays)

说明：  使用基于栅格地图的Q-learning进行路径规划。(This program use Q-learning to path planning,based on grid map.)

adaptive time frequency analysis toolkit

图像处理 直方均衡等 最完整版本 包括VC++及其matlab实现 而且根据代码可以直接用matlab进行GUI界面编程(Image processing, such as straight balanced side including the most complete version of VC++ and matlab code to achieve and can be directly used in accordance with matlab interface to GUI programming)

电力电子系统仿真,包含了电力电子技术这本书里的十个实验(power matlab )

本程序通过SVD可以很好实现lyapunov指数计算，便于理解，且速度和精度较高(lyapunov exponent by SVD)