UPAENERAL

PSD using BT/AR/ method,get the auto-correlation funtion(PSD using BT/AR/method, get the auto-correlation funtion)

discusses the Radar Cross Section (RCS). RCS dependency on aspect angle, frequency, and polarization are discussed.(discusses the Radar Cross Section (RCS). R CS dependency on aspect angle, frequency, and polarization are discussed.)

自己编写的双馈风力发电机模型，可以运行。(I have written a doubly-fed wind turbine model, you can run.)

利用VC++6.0集成编程界面编写综合运用MAT数据文件和MATLAB引擎技术的（求矩阵的奇异值）C++源码程序。本程序说明了：1.如何利用VC++6.0集成编程界面编写源码程序；2.编译链接产生EXE文件所需的间夹文件。注意：要将压缩包内除matlabyinqingwithc++.cpp的所有文件都要拷贝到matlabyinqingwithc++.cpp的“任务文件夹下”。(Use VC++ 6.0 integrated programming interface MAT preparation of comprehensive use of data files and MATLAB engine technology (the singular value matrix) C++ Source procedures. This procedure describes: 1. How to use VC++ 6.0 integrated programming interface to prepare source procedures 2. Compiler generated EXE file the necessary link between the document folder. NOTE: In addition to compression packages matlabyinqingwithc++. Cpp must copy all the files to matlabyinqingwithc++. Cpp s mission folder. )

传统的kmeans聚类算法不能保证时间序列聚类结果的时序性；基于warp-kmeans聚类算法可以有效处理时间序列的聚类问题，而且复杂度低，迭代次数少。 ，输出有目标函数在每次迭代后的值，聚类中心以及聚类区间。内有测试数据和相关文献，点击 test.m 可以完美运行(The traditional kmeans clustering algorithm can not guarantee the time series of the time series clustering results. The warp-kmeans clustering algorithm can effectively deal with the clustering problem of time series, and the complexity is low, and the number of iterations is less. The output has the value of the target function after each iteration, the clustering center and the clustering interval. There are test data and related documents, click test.m can be perfect operation.)

matlab进行潮流计算的一个工具，在文件内。(matlab a tool for power flow calculation, in the document.)

基于小波变换的像素级图像融合以及它的实现方式，经过仿真，取得了良好的效果。(Wavelet-based pixel level image fusion and its implementation, through simulation, and achieved good results.)

功率谱求法，代入函数后使用此方法求解功率谱。(Power Spectral Method.)

space vector pwm technique in matlab/simulink

this code is solution of optimal control