fwdcdmafinal

cross entropy for function minimization

数字图像处理及matlab实现 于成波著 适合matlab及图像处理爱好者(Digital image processing and matlab for implementation on into the waves with matlab and the image processing enthusiasts)

自动控制理论中利用matlab编写二阶系统分别在欠阻尼，临界阻尼，过阻尼时的情况(Automatic control theory using matlab write second-order system in underdamped, critically damped, overdamped)

海杂波；weibull分布；相参；相关高斯随机序列；零记忆非线性变换；matlab(Modeling and Simulation of Interference Correlated Weibull Distribution Sea Clutter)

用遗传算法实现基于最优潮流的负荷消减，并据此进行可靠性计算。(Genetic algorithm based on optimal power flow load reduction and reliability calculations accordingly.)

心电方面的资料，有需要的人可以下载下来看看，是美国MIT库的一些总结。传上来大家看看，原作者看到不要骂人哦。我就想分享一下资源(ECG information regarding people in need can be downloaded see some of the United States concluded MIT library. Pass up we look, the original author to see Oh, do not curse. I wanted to share resources)

说明：  Hermite插值的MATLAB程序。需要的来下载。(Hermite interpolation of the MATLAB program. Need to download.)

NARMAX模型重构，用matlab实现了一个二次二次曲面的重构(NARMAX model reconstructed using Matlab achieved a second conicoid Reconstruction)

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. )

二维金属圆柱仿真例子　matlab编程例子(A simulation example of two-dimensional metal cylinder matlab programming examples)