G-Rilling

matlab例程100，可以作为学习matlab和研究时的工具书，方便查阅；(matlab routine 100, can be used as study and research matlab book at the time of instrument for easy access )

匈牙利算法的MatLab实现，用于求解关于最大连接(MatLab implementation of the Hungarian algorithm for solving the maximum connection on)

光伏逆变器双闭环控制 电流环相位频率的跟踪 电压的前馈补偿(PV inverter dual closed-loop control of the frequency of the current loop phase tracking voltage feedforward compensation)

模拟退火算法matlab程序，有详细使用说明。(Simulated Annealing Matlab codes)

好好好好好好好好好好好好好好好好好好好好好好好好好好好好好好好好好好好好好好好好好好好好好好好好好好好好好好好好好好好好好好好好好好好好好好好好好好好好好好(Good good good good good good good good good good good good good good good good good good good good good good good good good good good good good good good good good good good good good good good)

关于图像压缩编码的matlab的实现程序，静态图像压缩标准(About image compression coding matlab realization process, still image compression standard)

说明：  遗传算法的一些实现案例，包括函数优化，目标分配等问题(Some implementation cases of genetic algorithm, including function optimization, target assignment and so on)

稀疏性工具箱函数集,比较全面,有测试函数,可用,很好(Toolbox Sparsity function set, a more comprehensive, there are test functions, usable, very good)

matlab GUI图形用户界面编程，本例程为一个基于matlab的计算器的源码，实现简单的数值加减运算。(matlab GUI(graphical user interface),this is a programe programed by matlab.It has the basic functon of counting.)

《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.)