MIMO_all

烟雾具有半透明性，本程序是基于小波变换的烟雾半透明性的仿真；代码+图片！(Smoke with the translucency, the procedure is based on the wavelet transform of the simulated smoke translucent code+ pictures!)

实用的遗传程序，非常非常的使用，一定要支持。非常感谢(Practical genetic program, very, very used, must be supported. Thank you very much)

局部极小点，用于局部极小点的程序，还有相应的论文，大家可以下载好好学习，看看老外的编程技巧(find local minimum)

　Kmeans 算法是聚类分析中使用最为广泛的算法之一，其每个类别均用该类中所有数据的平均值(或加权平均)来表示，这个平均值即被称作聚类中心。该方法虽然不能用于 类别属性的数据，但对于数值属性的数据，它能很好地体现聚类在几何和统计学上的意义。(Kmeans algorithm is the most widely used cluster analysis algorithm, each category with the average of all data in the class (or weighted average) to represent the average is known as the cluster center. Although this method can not be used The class attribute of the data, but data for numeric attributes, it can well reflect the significance of clustering on the geometry and statistics.)

在matlab实现直线插补仿真，对观察插补原理有良好的效果。(In matlab linear interpolation simulation，To observe interpolation theory has a good effect)

single UAV obstacle avoidance MPC problem

说明：  matlab平台的一段通过一个字符控制关机、注销和重启的函数，包含取消功能。(A section of the MATLAB platform controls shutdown, logout and restart functions through a character, including cancellation functions.)

绘制地震图形matlab软件包,可采用不同方式进行剖面成图实现(Seismic mapping matlab graphics package, to be used in different ways to realize profile mapping)

基于PWM的可控直流电源设计与实现，PWM整流电路原理图(PWM-controlled DC power supply based on the design and implementation, PWM rectifier)

《数字图像处理(MATLAB版)》是把图像处理基础理论论述与软件实践方法相结合的第一本书，它集成了冈萨雷斯和伍兹所著的《数字图像处理》一书中的重要内容和MathWorks公司的图像处理工具箱。本书的特色在于它重点强调了怎样通过开发新代码来增强这些软件工具。本书在介绍MATLAB编程基础知识之后，讲述了图像处理的主要内容，具体包括亮度变换、线性和非线性空间滤波、频率域滤波、图像复原与配准、彩色图像处理、小波、图像数据压缩、形态学图像处理、图像分割、区域和边界表示与描述以及对象识别等。(Digital image processing (the MATLAB Version) " is the first book of the combination exposition of the basic theory of image processing software practices, integrated Gonzalez and Woods book" Digital Image Processing " book of important content and MathWorks Image Processing Toolbox. The features of this book lies in its emphasis on how to develop new code to enhance these software tools. Introducing MATLAB programming basics, the book tells the story of the main contents of the image processing, including brightness transform, linear and nonlinear spatial filtering, frequency domain filtering, image restoration and registration, color image processing, wavelets, image data compression, morphological image processing, image segmentation, regions and boundary representation and description, and object recognition.)