PLL_example

说明：  使用Matlab实现的一个图像Warping的算法，通过指定需要进行Warping的点以及操作之后的位置，对图片进行扭曲变形，是图形图像处理的经典算法。(Implemented using the Matlab image Warping algorithm, Warping by specifying the need for operation after the point and the location of the distortion of the picture is the classic graphic image processing algorithms.)

ripper matlab code for classification

比较简单易懂的cacfar单元平均恒虚警检测方法(Relatively straightforward cacfar cell averaging CFAR detection method)

编码格式转换，UTF8， ASIC， BIG5， GBK 相互转化(Encoding format conversion, UTF8, ASIC, BIG5, GBK into each other)

最速下降法求解非线性方程组，此程序求解了【6x-sin（y）-50=0 cos（x）-4y-70=0】这一方程的解，大家可以把方程组改换，应用于自己的题目，例子。(Steepest descent method for solving nonlinear equations, this procedure solved 【6x-sin (y)-50 = 0 cos (x)-4y-70 = 0】 solution of this equation, we can change the equations, applications in their own subject, example.)

Very informative Artificial life simulation lectures at IIITA and sworn intelligence presentations at IIITA.

说明：  利用MATLAB语言调节GUI窗口尺寸，有简单的示例(Adjusting the size of GUI window using MATLAB language)

说明：  用MATLAB的GUI对SIMULINK的仿真进行调用，并且对仿真参数进行更改(Simulation by SIMULINK with MATLAB GUI on call, and change the simulation parameters)

matlab小波方法对信号进行去噪处理，让信号更接近实际，更准确(matlab wavelet denoising method of signal processing, so that the signal is more realistic, more accurate)

论文调研了复杂网络的结构特征，基于复杂网络的方法对在线社会网络的多种属性进行了分析，并利用MATLAB仿真工具对在线社会网络数据源进行了仿真，论文重点分析了在线社会网络的度分布、集聚系数、平均最短路径三个基本特征量，仿真实验结果表明在线社会网络具有小世界特性和无标度特性；然后，基于节点收缩的方法对网络节点重要性进行评估，根据节点重要度找出在线社会网络中的核心节点；进而，采用标签传播算法对在线社会网络进行社团划分，改进了算法的结条件，可在不影响划分结果的前提下，大大提高了运算效率。(Studies show that many social networks have the characteristics of the complex network, researching the basic characteristics of the network can help us to understand the various characteristics of social network By researching the importance of network nodes, we can find the Hub node of the network, it provides the basis of preventing the malicious attacks, protecting critical node or getting a better network transmission By researching the community structure of network can help us understand the relationship between the individual networks and achieve the maximization of network availability.)