Program1

基于COM的VC与MATLAB的混合编程技术(COM-based mixture of VC and MATLAB programming)

运用C语言对高斯信道进行仿真，简洁快速的实现(The use of C language Gaussian channel simulation, simple rapid implementation)

c均值算法的实现，使用c均值算法对一组三位数据进行聚类，给出了测试的类别数目和初始值。(c-means algorithm, using the c-means algorithm on a set of three data clustering, given the number of categories and initial value of the test.)

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.)

基于分数阶自抗扰控制的车辆1/4模型在混合路面启动工况仿真(Fractional-based vehicle ADRC 1/4 model start in the mixed road conditions simulation)

its about Dc machine and can use for other kind of machine

这本书最近看的觉得挺有用的，希望能对做这方面的朋友有所帮助！谢谢！(This book recently read that Tingyou use, hoping to make friends in this area help! Thank you!)

《MATLAB语言实用教程》采用最新版MATLAB R2009a，详细介绍了MATLAB的编程基础及其扩展，使读者能够快速掌握MATLAB基本编程的方法和不同工具箱的使用方法。《MATLAB语言实用教程》共分11章，包括MATLAB入门、MATLAB的基本元素与数据类型、数组与矩阵、MATLAB的程序、MATLAB的图形绘制、MATLAB的科学计算、符号计算、MATLAB在工程数学中的应用、创建用户图形界面、Simulink建模与仿真和MATLAB的应用等内容。 (" MATLAB language tutorials and practical" using the latest version of MATLAB R2009a, introduced in detail the MATLAB programming foundation and its extensions, allowing the reader to quickly grasp the basic MATLAB programming methods and different toolbox to use. " MATLAB language tutorial" is divided into 11 chapters, including the MATLAB MATLAB entry, basic elements and data types, arrays and matrices, the MATLAB program, MATLAB MATLAB graphics rendering, scientific computing, symbolic computation, MATLAB in engineering mathematics application, creating a graphical user interface, modeling and Simulation of Simulink and MATLAB application content.)

Model Reference Adaptive Control

LISVM使用说明，lisvm工具箱, 该工具箱包括了二种分类,二种回归,以及一种一类支持向量机算法( LISVM instructions, LISVM toolbox,The toolkit includes two kinds of classification, two kinds of regression, and a kind of support vector machine (SVM) algorithm)