modulation

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.)

16QAM调制数据，符号速率1Mbps，用于时钟同步电路的输入数据。(16QAM modulation data, symbol rate 1Mbps, for clock synchronization circuit input data.)

本实验先利用Mathematica求解非线性方程（组）,探索不动点、混沌的性质(In this study, the first use of Mathematica for solving nonlinear equations (group), explore the fixed point, chaotic nature of the)

matlab 匹配追踪算法,garbor原子的，非常好用(matlab matching pursuit)

精通MATLAB_GUI设计,里面是源程序代码(Versed in MATLAB_GUI design, which is the source code)

pso plot core diversity matlab code

EMD(earth mover distance)

三被动雷达交叉定位，去除鬼影点和杂波，点点关联概率达到8成以上。(remove noise wave； remove false intersection points ； Data association 。 )

说明：  基于MATLAB的三相锁相环的实现以及数据的仿真，亲测可用(Realization of Three-Phase-Locked Loop Based on MATLAB and Simulation of data show that the pro-test is available)

OFDM高斯白噪声信道仿真，包括发送端到接收端，误码率分析。()