largemat

用matlab编写的,提供一种求解最优哈密尔顿的算法---三边交换调整法.(prepared by using Matlab and provide a solution to the optimal algorithm Hamilton--- trilateral exchange adjustment.)

基于matlab 2010rb搭建的buck-boost chopper直流变换器升降压斩波电路仿真模型，调试通过，适合本科生学习电力电子技术仿真。(2010 rb based on matlab to build the buck- boost chopper dc converter buck chopper circuit simulation model, debugging through, suitable for undergraduate study power electronic technology simulation.)

基于状态观测器的二自由度汽车建模及控制分析，有动画直观显示(State observer based on two degrees of freedom and control of automotive modeling analysis has animated visual display)

此源码用于对一些非线性的方程组进行求解，时间复杂度比较小，效率比较高(This source is used for some non-linear equations is solved, the time complexity is relatively small, more efficient )

说明：  用matlab实现fir低通滤波器，还有在simulink仿真(The f.i.r low-pass filter is implemented by matlab and simulated in simulink.)

k-means 算法接受输入量 k ；然后将n个数据对象划分为 k个聚类以便使得所获得的聚类满足：同一聚类中的对象相似度较高；而不同聚类中的对象相似度较小。聚类相似度是利用各聚类中对象的均值所获得一个“中心对象”（引力中心）来进行计算的。(k-means algorithm accepts input k then n data objects into k clusters in order to make clustering satisfy obtained: the objects in the same cluster high similarity different clustering object similarity small. Cluster similarity is the use of the mean of each cluster of objects that get a " central object" (center of gravity) to perform the calculation.)

此为matlab版的gist特征提取，亲测可以直接运行(This is the gist of feature extraction matlab version, pro-test can be run directly)

yangjianchao将稀疏编码引入到超分辨率重建的文章(Yangjianchao will be introduced to the sparse coding super-resolution reconstruction)

GM(1,1)灰色预测的matlab的.m文件，可以直接使用。(GM (1,1) in matlab forecasts gray. M files can be used directly.)

统讲述MATLAB6.5 的集成工作平台，引导读者初会MATLAB 基本用法。 第二、三章系统叙述MATLAB6.1 的四大基本数据类型（数值数组、字符串数组、元胞数组、 构架数组），至于其它扩展数据类型（函数句柄、符号数据、内联函数、unit 数组、稀疏类） 则另辟章节专述。此后，本书用九个独立章分述MATLAB6.5 的数值计算、符号计算、函数 和数据可视、面向对象编程、GUI 交互操作界面设计、EXE 独立应用程序生成、实现不同 软件平台交互的API、M-book 数据图形文字环境集成等八大通用功能。本书用专门的一章 深入浅出地阐明SIMULINK 的分层建模、仿真功能、与MATLAB 交互的功能。(The the integration work platform on the system tells MATLAB6.5 the guide readers to the beginning of MATLAB basic usage. The second and third chapters system described the MATLAB6.1 four basic data types (numeric array, string array, cell array, the array architecture), as extended data types (function handle symbol data, inline functions, unit array , the sparse class) are covered in separate chapters specifically mentioned. Since then, with nine separate chapter book are as MATLAB6.5 the numerical computation, symbolic computation, functions, and data visualization, object-oriented programming, GUI interactive interface design, EXE standalone application generation, different software platform to interact The data graphics API, M-book text environment integration Eight generic function. Book special chapter layman' s language to clarify SIMULINK hierarchical modeling, simulation capabilities, and MATLAB interaction.)