cwf0002

matlab--巴特沃斯高通滤波算法来增强图像(Matlab, butterworth high pass filter algorithm to enhance image)

用matlab画了一个小动物，利用了plot，sina，cos等 函数(use Matlab drew a small animal )

用于本科生电力系统稳态分析的潮流计算，本模板以三机九节点为例为例(It can be used as a template of powerflow.（steady-state analysis of power system）)

说明：  两份Matlab的资料，一个是关于如何与VC接口调用Matlab的程序；一个是介绍matlab如何使用(Matlab two information, one is on how to call Matlab and VC interface procedures one is to introduce how to use matlab)

这个是关于matlab仿真OFDM的完整程序，可以很好的掌握哦对于初学者(the study of OFDM using matlab)

拉格朗日插值matlab程序，不是自带函数(laglangri matlab pro)

说明：  matlab代码，实现DCT变换matlab代码，实现DCT变换(matlab code, DCT transform matlab code, DCT transform)

1．进一步掌握栈的基本操作的实现。 2．掌握栈在算术表达式的计算方面的应用。 (1. Further understand the basic operation of the stack implementation. 2. Control stack in the calculation of arithmetic expression applications.)

matlab经典算法程序,可以运行通过。很好的一个遗传算法。(GA)

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)