Liu_Zhang_Peterson_Chandra_PV

信号系统实验软件，matlab编写，实现时域和频域，离散和连续的各种处理(Signal system experimental software, matlab writing, to achieve time-domain and frequency domain, a variety of discrete and continuous processing )

在matlab环境中自动识别连通区域的大小,GSM中GMSK调制信号的产生，matlab开发工具箱中的支持向量机。( Automatic identification in the matlab environment the size of the connected area, GSM is GMSK modulation signal generation, matlab development toolbox support vector machine.)

kalman 滤波的 matlab 程序(kalman filter matlab program)

说明：  matlab求解常微分方程在机械设计中的应用(matlab solving ordinary differential equations in mechanical design)

这是周建兴的《matlab从入门到精通》第5章的所有源代码，都可以运行的出来，和课本上的一样，(This is Zhoujian Xing' s " matlab from entry to the proficient," Chapter 5, all the source code, you can run out, and textbooks on the same)

说明：  体绘制体绘制体绘制体绘制体绘制体绘制体绘制体绘制体绘制体绘制体绘制体绘制体绘制体绘制体绘制体绘制体绘制体绘制体绘制体绘制体绘制体绘制体绘制体绘制体绘制体绘制体绘制体绘制体绘制体绘制体绘制体绘制体绘制体绘制volume render(volume render)

说明：  VC、Matlab混合编程使用范例，有助于轻松入门。(VC, Matlab use hybrid programming paradigm, help ease entry.)

the file that is sended is desktop file

this is a code for at89c5131 usb supprt micro. this code shows communication protocols to of USB in micro. this code can be used by at89c5131 and use Matlab USB code which I uploadto communicate Simulink of Matlab to a micro via USB.Enjoy it!

本文将排课五要素绑定、封装成课元、课栈两个向量，并以二维权值矩阵描述课元 和课栈之间的关联系。 提出了最佳匹配和遗传算法的排课算法，以随机生成的二维数字矩阵来反映课元和 课栈的关联权重，对数字矩阵组处理和最佳匹配得到的匹配偶图组为遗传算法的初始种 群，以排课各种原则的加权和为目标函数，在遗传算子控制下迭代来寻求更优的匹配结 果即使目标函数最小的偶图匹配结构，进而得到满意的排课结果。 提出了关联匹配和禁忌搜索的排课算法，以随机二维数字矩阵描述课元和课栈之问 的关联权重，按照重权优先并根据正确性原则进行约简，获得课元和课栈之间的匹配偶 图。在此基础上，引入禁忌搜索算法，以排课的完备性原则、合理性原则和人性化原则 的加权和为目标函数，以随机二维权值矩阵生成的匹配偶图为初始解，对二维权值矩阵 进行扰动构成搜索邻域，以生成的匹配偶图为禁忌对象，采用全局藐视准则，获得最优 的排课方案。 以Matlab为平台，利用Excd数据库和Mallab的互联实现数据交换，编写了两套 算法的应用程序，通过实例来验证两套排课算法，结果表明两套算法是可行的。(Arranging the five elements of this paper, binding, packaging into a class element, class stack of two vectors and matrices described by two classes per Rights And the relationship between class stack link. Offers the best match and Genetic Algorithm Platoon algorithm to randomly generated two-dimensional figures to reflect the class element and matrix Class stack associated with weight, the digital matrix group received treatment and the best matching group bipartite graph matching the initial kind of genetic algorithm Group to the weighted course arrangement of principles and the objective function, under the control of the genetic operator iteration to seek the better match Results Results even if the objective function structure of the smallest bipartite graph matching, and then Timetabling satisfactory results. Match the proposed association Timetabling algorithm and tabu search, a random two-dimensional digital matrix element and the class description class stack of Q)