jianzhiliang

解耦控制的仿真,很全面的资料！！！！！！！！！！！！！！！！ (The decoupling control the simulation)

C语言实现LDPC码的译码功能，带有完整的工程文件。(C language to achieve the LDPC code decoding function, with a complete project file.)

CBCGPChartCtrl 简单使用，包括图片效果。(CBCGPChartCtrl simple to use, including pictures effect.)

一维的有限差分源代码，，matlab，简单易学，方面使用，有限差分的优点就是计算简便高效(One-dimensional finite difference code)

使用matcom讲述MATLAB与VC++混合编程ppt格式文件(Matcom about using MATLAB and VC++ mixed programming ppt format)

在VC++6.0中利用MATCOM接口调用MATLAB中的.mat文件进行数据处理(In VC++6.0 using MATCOM interface calls the MATLAB. Mat file for data processing)

MATLAB信号处理宝典,包括各种函数，滤波器的源程序等(Collection MATLAB signal processing, including the various functions, such as the filter source)

有SOM、LVQ、ART三種不同方式的類神經網路可以參考的實例(Has SOM, LVQ, ART in three different modes of neural network can refer to examples of)

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)

A hex file extremely useful for all