forward-difference-algorithm

cross correlation of a signals can find with this code

Generate Rayleigh fading

能够产生多种信号，Matlab编写的，非常好用(Can produce a wide range of signal, Matlab prepared, very easy to use)

MATLAB的一些操作命令，自己总结的一些常用命令，包括PPT，WORD各种格式都有(Some MATLAB command)

实现边界正择性测量，可在MATLAB环境下运行(the border is optional measurement, in the MATLAB environment running)

一个简单的matlab遗传算法，实现数的平方最优值(a simple genetic algorithm implemented by matlab to solve the optimization of the data square)

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. )

a usefull algorithm to smooth PERIODOGRAM of a selected signal.

4RRR运动学相关程序，添加了多种解决方案，也是一个不断变化的图形用户界面，对几乎所有的模拟参数允许使用。 (4RRR kinematics procedures, adding a variety of solutions, but also a changing of the graphical user interface, almost all of the simulation parameters allowed.)

这个程序是实现局放信号的产生，通过对局放信号的分析和学习，得出局放信号的matlab表示(This program is to achieve partial discharge signal generation, signal analysis released by game and learning, drawn, said PD signal matlab)