MATA323

matlab的基础知识，大好基础，实验论证很重要。(matlab basic knowledge, excellent basic, experimental verification is very important.)

hough transform this project applyes hough transform on given picture in order to be able to calculate object in real world

双馈风力发电系统仿真模型，采用背靠背式PWM调制方式。(Double-fed wind power generation system simulation model, using back-type PWM modulation.)

matlab程序运行时导入数据文件作为输入参数，gFzHFju参数是一种双隐层反向传播神经网络，应用小区域方差对比，程序简单，包含收发两个客户端的链路级通信程序,EPuUHVR条件有详细的注释，matlab开发工具箱中的支持向量机。( Import data files as input parameters matlab program is running, gFzHFju parameter Is a two hidden layer back propagation neural network, Application of small area variance comparison, simple procedures, Contains two clients receive link-level communications program, EPuUHVR condition There are detailed notes, matlab development toolbox support vector machine.)

实现PSO对PID参数的优化，可以找到局部最优及全局最优参数。(PSO optimized PID parameters can be found in local optimal and global optimal parameters.)

自己写过的matlab control工具箱里的小函数和用法 适合初学者(Written in matlab control their own toolbox and use a small function for beginners)

说明：  本文利用模糊理论中的高斯隶属 度函数来获得模糊观测下具有概率特性的似然函数，并且由此似然函数得到每个传感器提供信息的可信度；再将各传感器的可 信度转化成基本概率赋值函数即mass 函数；最后利用证据理论对多传感器信息进行融合。对目标识别的仿真试验表明该方法获 得的结果比直接结果具有更高的精度和可靠性。(The method uses fuzzy theory in the Gaussian fuzzy membership function to obtain a probable characteristic under observation likelihood function，and the resulting likelihood function gets the credibility of the information provided by the sensors.Then the reliability of each sensor is changed to a mass function.Finally，multi-sensor information is combined by using evidence theory.Simulation of target recognition shows that the results obtained have higher accuracy and reliability.)

最炫民族风（凤凰传奇）旋律的MATLAB程序形式(MATLAB program in the form of the melody of the coolest Ethnic (Phoenix legend))

利用免疫算法实现了一个普适性的P中心选址法(Using immune algorithm to achieve a universal P center location method)

主程序为mybss.m和fastica1.m。经过调试能够成功运行，和lmd一起使用效果不错，可以实现各频率的分离。(The main program is mybss.m and fastica1.m. After debugging can be run successfully, and lmd use with good results, the separation can be achieved for each frequency.)