07_AddingHardwareControl

说明：  基于MATLAB的图像处理与仿真研究基于MATLAB的图像处理与仿真研究(MATLAB Based Image Processing and Simulation)

This code realize the MUSIC algorithm.

计算基本矩阵 很有用也很齐全，是源代码m文件，希望对大家有用(Toolbox of computation Fundamental matrix)

对傅里叶变换的理解和matlab程序实现(Fourier transform matlab program to achieve understanding and)

数据同化的经典算法，集合卡尔曼滤波算法，用Matlab写的，里面附有一些参考文献，初学者适用(Classical algorithm of data assimilation, ensemble Kalman filter algorithm, written using Matlab, which with some references, for beginners)

任意信道容量的计算及MATLAB仿真与分析，任意信道容量的计算及MATLAB仿真与分析任意信道容量的计算及MATLAB仿真与分析任意信道容量的计算及MATLAB仿真与分析(kasjdf sdf )

classification test and observed data

实时CORBA平台TAO的安装和使用 TAO在windows上的安装 以及编译过程中出现的问题(TAO Real-time CORBA platform installation and use of TAO in windows on the installation and the compilation Translation process of emerging issues)

pmsm model DQ/matrix

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.)