ICA

Dining philosophers problem in C++

说明：  多目标优化经典算法之一，NSGA2算法，用Matlab写的，好好学一下(One of the classical multi-objective optimization algorithm, NSGA2 algorithm, written using Matlab, a good school look)

介绍MATLAB基本操作的的教案，很经典(this is for new learner study MATLAB，it is simple and easy)

power_zener.rar,功率电子领域matlab仿真文件，已经验证过，程序运行正常(power_zener.rar,Power electronics field matlab simulation file, has already been verified, the normal operating procedures)

一种带有积分环节的滑模变结构控制方法程序，包含.mdl与S-function，，(Of a link with the integral sliding mode variable structure control methods and procedures, including. Mdl with the S-function,,)

对数据进行因子分析matlab完整代码。(Factor analysis of the data integrity matlab code.)

1.原始信号A，通过信道受噪声污染后的信号q，然后分别经过均衡器ZF（MMSE）得到信号U，可以画出U的分布图 2.分别应用LMS,SATO,CMA算法得到U。（其中包括最佳延迟、均方误差的计算）所有结果均以图像形式显示。(1. The original signal A, subject to noise pollution through the channel after the signal q, and then through the equalizer, respectively ZF (MMSE) receive the signal U, the distribution of U can draw Figure 2. Were applied LMS, SATO, CMA algorithm to be U. (Including the best delay, mean square error terms) all the results are displayed in graphic form.)

使用matlab实现两幅彩色图像的配准，并且显示它们的匹配点。(It realize the match of two color pictures and show the match point of them.)

Beamspace ESPRIT方法在MIMO雷达角度估计中是实现，有仿真后的结果对比(Beamspace ESPRIT angle estimation method in MIMO radar is realized, after the simulation results comparison)

In this demo, we show how to use Rao-Blackwellised particle filtering to exploit the conditional independence structure of a simple DBN. The derivation and details are presented in A Simple Tutorial on Rao-Blackwellised Particle Filtering for Dynamic Bayesian Networks. This detailed discussion of the ABC network should complement the UAI2000 paper by Arnaud Doucet, Nando de Freitas, Kevin Murphy and Stuart Russell. After downloading the file, type "tar -xf demorbpfdbn.tar" to uncompress it. This creates the directory webalgorithm containing the required m files. Go to this directory, load matlab5 and type "dbnrbpf" for the demo. (In this demo, we show how to use Rao-Blackwellised particle filtering to exploit the conditional independence structure of a simple DBN. The derivation and details are presented in A Simple Tutorial on Rao-Blackwellised Particle Filtering for Dynamic Bayesian Networks. This detailed discussion of the ABC network should complement the UAI2000 paper by Arnaud Doucet, Nando de Freitas, Kevin Murphy and Stuart Russell. After downloading the file, type "tar-xf demorbpfdbn.tar" to uncompress it. This creates the directory webalgorithm containing the required m files. Go to this directory, load matlab5 and type "dbnrbpf" for the demo. )