Kinematic-Hardening-Plasticity

说明：  matlab 与VC混合编程，通过MATLAB调用MATLAB的函数的WORD文档，按上面的例子，一步一步，就可以实现。(mixed programming with VC matlab, MATLAB by calling the function MATLAB WORD document, according to the example above, step by step, can be achieved.)

基于小波变换的基本原理，进行数字的信号处理(wavelet transform )

其实popupwindow用起来比Dialog 方便，因为dialog一切都需要你自己来实现，而popupwindow帮我们实现了很多，我认为在使用的时候关键我们要看清参数： popupWindow.showAtLocation(parent, gravity, x, y) parent这个是一个父view试图， gravity 这个默认是居中，我们要指定显示方式：Gravity.LEFT | Gravity.TOP 最后两个参数就是显示的坐标位置，这样就可以根据需求自己定位显示位置了

浙江大学关于概率模型的ppt演示文稿，可以参考(Zhejiang university about probability model PPT presentation manuscripts, can reference)

its about svpwm dtc of an induction motor drive

Add pilot symbols to the input data just before transmission 2. Implement cyclic prefix (CP), use 10 of symbol length. Divide the 64 input data points into 8-bit streams, generate and append the CP based on each symbol 3. Include complex noise into transmitted signal Organization of Transmitter end of OFDM System a. Generate Data b. Modulate c. Serial to Parallel d. Cyclic Prefix (CP) e. Add Pilot points f. IFFT g. Parallel to Serial

当水下存在多个目标时，利用平均声强器检测已经不再有效，此时使用复平均声强器来确定多目标的方位。(When existing multi sources, average acoustic intensity does work. At this case, complex average acoustic intensity can obtain the direction of multi sources.)

说明：  在matlab上生成数据波形文件，下载到安捷伦信号源中，直接用信号源的IQ调制功能回放波形。(Matlab generate data in the waveform file, downloaded to the Agilent signal sources, the direct use of the IQ signal source playback waveform modulation functions.)

量子遗传算法MATLAB源代码，内含多个子文件，测试时运行main文件即可(Quantum Genetic Algorithm MATLAB source code that contains multiple sub-documents, tests can be run main document)

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)