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matlab绘图初级入门讲义，十分有用。可以看看(matlab drawing primary entry notes, very useful. Can look at the)

采用matlab编程实现的近似熵的计算。近似熵是一个从衡量时间序列复杂性的角度出发的反映信号整体特征的指标(Calculated using approximate entropy matlab programming to achieve. Approximate entropy is a sequence complexity measure of the time of departure the perspective of the indicators reflect the overall characteristics of the signal)

Split PML 2D TM FDTD

说明：  bp神经网络，实现bp神经网络的分类，用matlab语言编写(bp neural network, the realization of bp neural network classification, using matlab language)

追逐问题是现实生活中的常见问题,本文就三人绕正三角形的追逐问题建立起了两个数学模型:一个充分应用运动的周期性首先给出了三人共边的充要条件,然后直接给出在一个周期内三人共边的次数及起止时刻,另一个则利用初等数论的方法给出了三人共边的另一个充要条件 利用matlab长于计算和强大的绘图功能,本文分别给出了求解两个模型的matlab程序,通过动画仿真演示三人绕正三角形的追逐模型,并给出三者共边的时间起止点和共边的次数。 更多还原 (The problem is that in real life the pursuit of the common problems, the paper chase on three questions about the triangle established two mathematical models: a full application of the cyclical movement Firstly, the necessary and sufficient conditions of the three sides, and then directly within a given period of three sides of the starting and ending times and moments, and the other using elementary number theory approach gives another three necessary and sufficient conditions of the edge using matlab longer computing and powerful graphics capabilities, this paper two models are given for solving matlab program, triangle chase through animated simulation model demonstrates trio around and gives the time of the beginning and ending points of the three sides and the number of edges. More Restore)

Matlab based program on Digital signal processing and DSK processor

matlab 代码，利用分步傅里叶方法求解NLSE方程(matlab code, solve the equation NLSE)

说明：  有关带有加权的矩形阵的方向图，输入相关参数即可，是雷达系统与分析里面的(For a rectangular array with the weighting pattern, you can enter the relevant parameters, and analysis of radar systems inside)

一个简单的CA模型，用于仿真实践，使初学者很容易接受，简单易懂(A simple CA model, for the simulation of practice, so that beginners are easy to accept, easy to understand)

说明：  基于Graph Cut的一种分割方法，比较著名的论文。(Graph Cut based on a segmentation method to compare the famous paper.)