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一个学习电磁波时域有限差分法的程序 适合初学者(a code for studying finite difference time domai9n method for elctromagnetic waves )

matlab串口通信，实例教程，基于GUI的matlab串口通信编程(matlab serial communication, tutorial examples, GUI-based serial communication programming matlab)

matlab的一些其他演示，有助于大家学习matlab的简单语法，欢迎下载(Matlab demo of some of the other help you learn a simple syntax Matlab welcome to download)

分数阶吸引子，一定会帮助你仿真出必要的吸引子的，哈哈哈(bifraca chaos)

buck converter is used to steap down the voltage by varying duty cycle of operation

Embedded system book Embedded system book Embedded system book Embedded system book

Matlab的数学手册, 入门和进阶级全部都实用(Matlab mathematical manual entry into the class and all utility)

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.)

海伦方程下的ＭＡＴＬＡＢ仿真细直导线的基本参数数据图(Helen equation under the thin straight wire MATLAB simulation of the basic parameters of the data graph)

Application of LSB Based Steganographic