Horizon-radar-system-simulation

matlab函数汇总，包含大部分图像处理函数.(matlab function summary, including the majority of image processing functions.)

将原信号进行EMD分解，得到一系列IMF分量，这些分量是按频率从高到低排列(EMD decomposition of the original signal to obtain a series of IMF components, which are arranged according to the frequency high to low)

MATLAB和c的先进PID算法测试文件，大学课程用先进PID算法。(The test file of advanced PID algorithm of MATLAB and C, university course with advanced PID algorithm.)

上海期货市场自动交易接口CTP开发示例代码。(CTP interface examples codes.)

一维云模型的评价代码，可以完成评价等功能。(One-dimensional cloud model)

MATLAB 开发滤波输出系统，可以高低波选择波段，并且为双屏显示(MATLAB development filtered output system, you can choose the level of wave band, and for dual display)

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, ( The debugging uses the Matlab edition is 6.5, gatbx-toolbox debugs the toolbox which in the process uses, somewhat warm-hearted ground the friend already to provide this toolbox, the reason that pasted again, was because under 6.5 editions debugged this toolbox to be able to present some wrong prompts, had already carried on the correction in this edition, will use this toolbox only to need to compress package of under gatbx and gatbx Test_fns joins to the Matlab search path then, moreover gatbx-origin was the primitive edition toolbox which the Sheffield university provided, has not made any modification, both might make the comparison are the example debugging sound code and various examples debugging explained with 3.gatbx-example, everybody might compare the original bookCarries on comparison 4. in my opinion under the gatbx toolbox s to be able to let the human compared with Matlab7 update gads toolbox be familiar with the understanding genetic algorithm principle and)

一个matlab里面的基本操作的演示程序(Matlab basic operation inside a demonstration program)

使用push-relabel方法求解最大流问题，是国外的一个研究机构编写的，速度很快。(This is an efficient implementation of the push-relabel method. See Goldberg and Tarjan, "A New Approach to the Maximum Flow Problem," J. ACM Vol. 35, 921--940, 1988 and Cherkassky and Goldberg, "On Implementing Push-Relabel Method for the Maximum Flow Problem," Proc. IPCO-4, 157--171, 1995.)

code alamouti mimo matlab