2015-04-02-15.35.09

一些MATLAB练习用的小代码.均为M文件。全是本人学习时写的。有注释。绝对原创。(MATLAB exercises with some small code. Are M documents. Learning all the time I wrote. Annotated. Absolutely original.)

BUILDING WITH MATLAB,VERSION 5

HANS-MARTIN KROLZIG,MS-VECM代码，需转码成.ox文件方可使用。(HANS-MARTIN KROLZIG，code of MS-VECM written by txt. you should transcode this text file into .ox before using it.)

The camera calibration toolbox for Matlab (version 3.0) utilizes a new bias correction procedure for circular control points and a nonrecursive method for reversing the distortion model

利用kalman滤波算法对状态空间描述的位移测量系统进行了滤波处理，对系统输出的真实位移、测量位移和滤波位移进行了对比，显示了kalman滤波算法较好的滤波性能。(Displacement measurement system described by the equation of states were filtered by Kalman filter algorithm. The output of the system, including the real displacement, measuring displacement and filtering displacement were compared, and the results showed the great performance of Kalman filter algorithm.)

Photos with people (e.g., family, friends, celebrities, etc.) are the major interest of users. Thus, with the exponentially growing photos, large-scale content-based face image retrieval is an enabling technology for many emerging applications. In this work, we aim to utilize automatically detected human attributes that contain semantic cues of the face photos to improve contentbased face retrieval by constructing semantic codewords for efficient large-scale face retrieval. By leveraging human attributes in a scalable and systematic framework, we propose two orthogonal methods named attribute-enhanced sparse coding and attributeembedded inverted indexing to improve the face retrieval in the offline and online stages. We investigate the effectiveness of different attributes and vital factors essential for face retrieval. Experimenting on two public datasets, the results show that theproposed methods can achieve up to 43.5 relative improvement in MAP compared to the existing methods.

：介绍遣传算法的基本原理和Matlab的遗传算法优化工具箱(GAOT)，分析了优化工具函数。探讨Matlab遗传算法工具箱在 参数优化和非线性规划中的应用。通过优化实例，说明遗传算法是一种具有良好的全局寻优性能的优化方法。用Maflab语 言及Maflab语言编制的优化工具箱进行优化设计具有语言简单、函数丰富、用法比较灵活、编程效率高等特点。(: Removal algorithm introduce the basic principles and Matlab Genetic Algorithm Optimization Toolbox (GAOT), an analysis of function optimization tool. Explore the Matlab Genetic Algorithm Toolbox in the parameter optimization and nonlinear programming applications. Through optimization examples to illustrate the genetic algorithm is a good global optimization method to optimize performance. Maflab language and using language Maflab Optimization Toolbox to optimize the design of the language is simple, function-rich, and using more flexible programming and high efficiency.)

群体智能优化：粒子群算法，是一种以鸟群觅食这种社会行为为基础的最佳化寻优技术(particle swarm optimization)

Find all java objects contained within a java container or Matlab GUI handle If no output parameter is specified, then an interactive GUI window will be displayed with a tree-view of all container components, their properties and callbacks.

Course_control_in_wind控制图,模拟图可能花了我几个月的时间,对船舶仿真使用非常大! ! ! ! ! !珍惜(Course_control_in_wind control chart, the simulation diagram probably spent me months, to the ship simulation use very big!!!!!! cherish)