pingchafuzhuhanshu

说明：  在CC++中调用Matlab， 了解调用MATLAB接口(In CC++ Calling Matlab, learn to call MATLAB Interface)

做经验模态分解用的几个有用函数,真的非常有用。(Do empirical mode decomposition several useful function is really useful.)

在看了网上的四轴飞行器的源码后，修改的自己认为比较简单的四轴飞行器工作源码(After reading the online source quadrocopter, modify yourself think a relatively simple job quadrocopter source)

SPN的差分密码分析，建议选取的明密文对数量为8000+，太小可能结果有偏差(SPN Differential cryptanalysis, ciphertext clear recommendations for selected number of 8000+, too small deviations may result)

无人机协同决策与控制英文原版，可供研究无人机协同的同学参考(the English original of UAV Cooperative Decision and Control，for the study of reference UAV cooperative students)

基于均匀圆阵的信号二维方向角高精度估计 (Angular precision estimates based on two-dimensional uniform circular array signal direction)

.0 (MultiStyle ProgressBar)

说明：  求N个字符的最大公共子串，超高效率，希望能给大家带来帮助谢谢(Request N sub-character string of the largest public, high efficiency, We hope you help thank you)

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)

马尔可夫的pdf资料，讲解详细。资源不错。希望大家和我一样能有所收获。(Markov pdf data, explain in detail. Good resources. I hope you like me can be harvested.)