LMSduixiao

汉明码在matlab环境下的编码程序，经本人测试好用(Hamming code in matlab coding process environment, as I use to test)

高压共轨系统的matlab-simlink模型，含三作用高压泵、共轨管、喷油器等子系统(High pressure common rail system the matlab-simlink model, three the role of high-pressure pump, common rail, injector subsystem)

针对EMD经验模态分解不能找到instfreq的问题(For empirical mode decomposition EMD can not find instfreq problems)

MUSIC算法以及运用MUSIC、ESPRIT、GEESE进行非相关源的模拟测向并比较各种算法的性能(MUSIC algorithm performance and the use of MUSIC, ESPRIT, GEESE non-relevant source analog measurement and comparison of various algorithms to)

这里给出了双向中继系统基于AF协议下的relay beamforming 优化算法，仿真重现了一篇transactions上的文章(Relay beamforming simulation of two-way relay communication under AF protocol, the simulation is for a paper on transactions, it put forward three kinds of optimization algorithm.)

基于局部误差的RBF神经网络辨识的MATLAB仿真程序,有注释(Based on local error of RBF neural network identification MATLAB simulation program)

newton raphson power flow

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.)

MIMO Capacity and channel measurment

MATLAB神经网络30个案例分析—案例28 灰色神经网络的预测算法—订单需求预测源代码及数据(MATLAB Neural Network 30 Case Studies- Case of 28 gray neural network prediction algorithm- order demand forecast source code and data)