youhua

实现了 正交频分复用OFDM的仿真，包括循环前缀的添加 和傅里叶变换 其中调制解调用了QPSK(Realize the orthogonal frequency division multiplexing (OFDM simulation, including the circulation of the prefix add and Fourier transform one demodulation used QPSK )

buck环路建模，主要用于buck的建模仿真，可以用于Buck的环路稳定性建模仿真。(Buck loop modeling, mainly for Buck modeling and simulation, can be used for Buck loop stability modeling and simulation.)

本程序为m源文件，应用于无线回传的拓扑优化问题，采用的是贪婪算法。(This program is m source file, which is applied to topology optimization of wireless backhaul, and greedy algorithm is adopted.)

说明：  信号稀疏度K与重构成功概率关系曲线绘制例程代码(K signal sparsity and Reconstruction success probability plots draw sample code)

ESPRIT11算法,是借助旋转不变技术估计信号参数,用matlab写的,大家可以参考一下啊!(ESPRIT11 algorithm, is using the same techniques to estimate rotation signal parameters, Matlab was used, we can take a look ah!)

desribes how to connect pscad through matlab

ACTIVE CONTOUR WITHOUT EDGES in matlab

K最邻近密度估计技术是一种分类方法，不是聚类方法。 不是最优方法，实践中比较流行。 通俗但不一定易懂的规则是： 1.计算待分类数据和不同类中每一个数据的距离（欧氏或马氏）。 2.选出最小的前K数据个距离，这里用到选择排序法。 3.对比这前K个距离，找出K个数据中包含最多的是那个类的数据，即为待分类数据所在的类。(K nearest neighbor density estimation is a classification method, not a clustering method. It is not the best method, but it is popular in practice. Popular but not necessarily understandable rule is: 1. calculate the distance between the data to be classified and the data in each other (Euclidean or Markov). 2. select the minimum distance from the previous K data, where the choice sorting method is used. 3. compare the previous K distances to find out which K data contains the most data of that class, that is, the class to which the data to be classified is located.)

对一幅彩色图像进行融合，用到颜色空间转换，数字矩阵到图像显示的转变，同屏显示其效果图，有待进一步研究(Color images of an integration, using the color space conversion, digital matrix image display to change, with the screen display the effect of map, be subject to further study)

backprogation step by step (single layer)