wuziqi

Spatial Channel model examples

卫星导航系统中计算DOP值,非常实用的程序，希望对大家有用(satellite navigation system )

均匀圆阵部分阵元失效情况下的DOA估计方法(Part of uniform circular array element failure in case of DOA Estimation)

各种有用的建模，对于学命令流编程的十分有用(ANSYS modeling)

一种matlab与VC++混合编程的方法。供初学者参考学习。可以与MATLAB通讯。(One kind of matlab and VC++ mixed programming method. Reference for beginners to learn. You can communicate with MATLAB.)

自适应阵列波束形成算法研究.kdh 硕士毕业论文(Adaptive array beamforming algorithm. Kdh Master' s Thesis)

电力系统仿真技术，主要是matlab环境下的电力系统仿真研究(Power system simulation technology, mainly is the matlab environment simulation of power system)

高斯厄尔米特积分代码，实现高斯积分功能，环境为matlab(Gauss int)

Matlab R2009b与MSVC 2008混合编程的源代码！(Matlab R2009b with MSVC 2008 Mixed programming source code!)

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)