bezier

DF加中继基于门限的中继选择，适合基础者学习。(DF plus relay threshold-based relay selection, suitable foundation to learn.)

在simulink的环境下的电机功率的研究仿真模型，并有良好的效果(In simulink environment of motor power, a simulation model of research and has a good effect)

Color To Gray And back Matlab Code

采用粒子滤波的方法解决船舶的位置的例子，有具体的图说明(Using the particle filtering method to solve examples of the location of the ship)

城市切换功能,点击城市可以弹出其他城市进行切换(the demo is to change city)

用于求解无控飞行器的飞行轨迹,其中主要说明其数值求解过程，，，。(It can be used to solve the orbit of aircraft that haven t been controlled!)

MATLAB R2008数字图像处理与分析实例教程源程序 众多实例(MATLAB R2008 digital image processing and analysis of many instances tutorial source instance)

利用此程序，可以找出二维离散映射henon map的吸引域(With this program, you can find the two-dimensional discrete domain of attraction map henon map)

说明：  .附件结构: gatbx.rar: (1)gatbx-origin.zip; (2)gatbx-toolbox.rar; (3)gatbx-example.rar 2.调试所用Matlab版本是6.5，gatbx-toolbox是调试过程中使用的工具箱，有些热心的研友已经提供了该工具箱，之所以再贴一遍，是因为6.5版本下调试该工具箱会出现一些错误提示，在该版本中已经进行了改正，使用该工具箱只需要将压缩包下的gatbx和gatbxTest_fns加入到Matlab搜索路径即可，另外gatbx-origin是Sheffield大学提供的原始版本的工具箱，未做任何改动，两者可做比较之用 3.gatbx-example是算例调试源码和各算例的调试说明，大家可以对照原书进行比较 4.窃以为gatbx工具箱较之Matlab7新版下的gads工具箱更能让人熟悉和了解遗传算法的原理和计算过程，虽然在可视化方面不及gads 5.学习遗传算法如果首先用熟相关工具箱的话，能够先培养信心，然后更有兴趣去专研和了解具体的算法，如果就用现有的工具箱就能解决问题的话，不了解其详细的算法也未尝不可，毕竟不是每个研友都能向see_moonlight那样开发自己的工具箱吧,(Annex structure: gatbx.rar: (1) gatbx-origin.zip; (2) gatbx-toolbox.rar; (3) gatbx-Test_fns under the compression package need to be added to Mat. The lab search path can be done, and gatbx-origin is the original version of the toolbox provided by Sheffield University, without any changes, which can be used for comparison. 3. Gatbx-example is the source code of example debugging and the debugging instructions of each example. You can compare it with the original book. 4. It is assumed that the gatbx toolbox is better than the gads toolbox in the new version of MATLAB 7 in familiarizing and understanding the principle and calculation process of genetic algorithm, although it is less visualized than gads.)

Resolution of the Cronig-Penney s predator and victim problem wrote in Matlab v6.5.