moshifenlei

图片任意角度旋转，没有做插值处理，matlab版本。(Image rotation any angle, does not do interpolation, matlab version.)

该算法实现了对图像的分形维计算，图片文件请修改M中的代码，自行读取。(The algorithm is realized with the image fractal dimension calculation, picture files please amend M of the code, to read.)

本程序是基于LeventCode平台作的。 ---包括以下方法： BivaShrink方法、模型1、模型2、模型3（TrivaShrink方法）、BayesShrink方法、LAWMLShrink方法的DWT实现和DT_CWT实现。(This procedure is based on the LeventCode platform for the. --- Including the following methods: BivaShrink method, model 1, model 2, model 3 (TrivaShrink method), BayesShrink method, LAWMLShrink method of DWT implementation and DT_CWT achieve.)

直扩系统传统DMF解扩SIMULINK建模(DS system, the traditional DMF despreading SIMULINK modeling)

说明：  Matlab从入门到精通中所有的源程序。(Matlab from entry to master all of the source.)

利用HHT进行电力分析（自己写的程序·） HHT的改进采用了09年发表的迭代发，值得学习(anlysis power systerm base on ITERATIVE HHT)

How to use the ordinary Voronoi partition generator. The m-files also have their own help documentation that you can view in Matlab. This code creates a bounding polygon that is a square. Then it randomly creates 10 points and then creates and draws the partition. bounds = [0, 10, 10, 0 0, 0, 10, 10] points = 10 * rand(2, 10) regions = voronoi(bounds, points) drawRegions(bounds, regions) ================================ This is a brief set of instructions on how to use the Multiplicatively- weighted Voronoi partition generator. Each of the m-files has a help section, so in Matlab you can call: help mwvoronoi help drawRegions Here is an example that creates a bounding polygon, a square with side length 10. Then it randomly creates six points with random weights. Finally, the code draws the resulting partition. bounds = [0, 10, 10, 0 0, 0, 10, 10] points = 10 * rand(3, 6) regions = mwvoronoi(bounds, points) drawRegions(bounds, regions) Enjoy!

beamformer code using c lang

commande and control the qudrirotor

含分布式电源的配电网日前两阶段优化调度模型，EI论文源程序，放心使用(A Day-Ahead Two-Stage Optimal Scheduling Model for Distribution Network Containing Distributed Generations)