fdtd1dabc

说明：  Randon data from program

不用音乐播放控件，使用别的方法播放音乐。功能不全。(Do not have music player controls, the use of other means to play music. Insufficiency.)

卷积编码器g1=111,g2=101 x为输入的待译码序列 x=[1,0,1,0,0,1,0,0,0,1,0,1,1,1] x=[1,1,0,1,0,1,1,0,0,1] x=[1,1,1,0,0,0,1,0,1,1] a=size(x) 输入序列的长度 s=a(2)/2 译码后的m序列长度为x的一半 m=zeros(1,s) 最终结果存放 ma=zeros(1,s+1) 存放Fa路径的 mb=zeros(1,s+1) 存放Fb路径的 mc=zeros(1,s+1) 存放Fc路径的 md=zeros(1,s+1) 存放Fd路径的(viterbi decoder)

利用VC＋＋调用MATLAB中的函数进行函数绘图的实例，比较简单的例子。(Using VC to call MATLAB functions in the mapping function of the examples of relatively simple examples.)

递归实现一个集合的所有的子集的输出。 例如{1，2} 输出{}{1}{2}{1，2}(A subset of the output of recursion)

说明：  这是用于指纹识别的matlab的程序，完整的哦，共享，也许有用哈(finger)

介绍了如何利用Mathh的Realtime Workshop代码生成工具将Simulink模型自动转换成C代码的方法(This paper proposes a method of using the RTW (Real-Time Workshop)code generation tool to convert Matlab to the C code．)

支持向量机源程序代码，c++运行环境，matlab例程(SVM source code, c++ runtime environment, matlab routine)

DM码，QR码生成,能够很好地生成二维码，并且支持大小可调(DM,QR barcode，yyyyyyyyyyyyyyyyyyyyyyyyyyyyyyyyyyy)

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)