mb-ofdm-uwb

光通信中归零型（占空比可调）差分相位调制信号建模与仿真分析(Optical Communication zero type (duty cycle adjustable) differential phase modulation signal modeling and simulation analysis)

Active and Reactive Power Flow Fuzzy Controller

直流电动机的机械特性 matlab 仿真建模(Dc motor mechanical properties of the matlab simulation modeling)

基于特征目标跟踪程序 matlab 程序(基于特征目标跟踪程序)

信号完整性分析 及新手入门需要考虑的相关事宜(Getting Started signal integrity analysis and related issues to be considered)

it is a three-phase PWM inverter with LC filter

聚类算法，不是分类算法。分类算法是给一个数据，然后判断这个数据属于已分好的类中的具体哪一类。聚类算法是给一大堆原始数据，然后通过算法将其中具有相似特征的数据聚为一类。这里的k-means聚类，是事先给出原始数据所含的类数，然后将含有相似特征的数据聚为一个类中。所有资料中还是Andrew Ng介绍的明白。首先给出原始数据{x1,x2,...,xn}，这些数据没有被标记的。初始化k个随机数据u1,u2,...,uk。这些xn和uk都是向量。根据下面两个公式迭代就能求出最终所有的u,这些u就是最终所有类的中心位置。(Clustering algorithm, not a classification algorithm. Classification algorithm is to give a figure, and then determine the data belonging to a specific class of good which category. Clustering algorithm is to give a lot of raw data, and then through the algorithm which has similar characteristics data together as a class. Here k-means clustering, is given in advance the number of classes contained in the raw data, then the data contain similar characteristics together as a class. All information presented in or Andrew Ng understand. Firstly, raw data {x1, x2, ..., xn}, the data is not labeled. K random initialization data u1, u2, ..., uk. These are the vectors xn and uk. According to the following two formulas can be obtained final iteration all u, u is the ultimate all these classes the center position.)

此书籍完整归纳了matlab从基础到高级应用的常用源代码，是一本不可多得的学习matlab的电子书籍。(This book summarizes the complete matlab from basic to advanced applications commonly used source code, is a rare study matlab e-books.)

OFDM matlab调制与解调仿真，信号及其频谱(The OFDM matlab modulation and demodulation simulation, signal and its spectrum)

OFDM系统降峰均比技术SLM、PTS两种方法的MATLAB仿真(OFDM system MATLAB simulation reducing PAPR SLM, PTS two methods)