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说明：  《精通MATLAB图像处理-张强》光盘，各章的源代码及图像(&quot Proficient in MATLAB Image Processing- Zhang Qiang,&quot CD-ROM, the source code of each chapter, and Image)

实现了统一潮流控制器的建模与设计，可以稳定运行(Modeling and design of unified power flow controller)

基本bp算法,实现函数的拟合,提供给大家分享(Bp basic algorithms, implementation of the fitting function, available to everyone to share)

一个神经网络的工具箱，用于M a t l a b中(A neural network toolbox for M atlab in)

simulation of OFDM using discrete wavelet transform

Discriminant Analysis Toolbox

m-file PID Tunning for simulation Temperature control.

卡尔曼滤波程序，可以用去除噪声，非常好用。(Kalman filtering procedure can be used to remove noise.)

函数优化，随机输入一个函数，优化产生最优值。(Function optimization, random input a function, optimization produces optimal value.)

为实现合成孔径雷达（SAR）图像分类算法的测试与评估，将VC/Matlab 混合编程技术应用到SAR 图像分类平台开发中，分析与 比较了4 种VC/Matlab 混合编程方法及各自优缺点，并着重研究了基于组件对象模型（COM）的VC/Matlab 混合编程方法。使用Matlab COM 编译器创建了SAR 图像分类算法组件，在VC 中调用其导出的接口函数。在此基础上，完成了SAR 图像分类平台的实例开发且 可脱离Matlab 环境运行。实验结果表明，该方法较好地发挥了VC 与Matlab 各自的优势，提高了SAR 图像分类平台开发的效率。(In order to test synthetic aperture radar （SAR） image classification algorithm，VC/Matlab mixed programming technology was used in SAR image classification platform development. Four VC/Matlab mixed programming methods were introduced and analyzed. Comparing with other three methods，the method based on component object model （COM） was studied particularly. SAR image classification algorithm component was created by Matlab COM complier，and its interface function could be invocated with VC. Using this method，a SAR image classification platform was realized. The platform could run without Matlab. The experimental result shows a good combination of VC and Matlab. So，developing efficiency could be enhanced a lot.)