m_mvdr

改进的基于遗传算法的被动声目标定位，采用的是DOA类算法(Improved genetic algorithm based on passive acoustic target, the algorithm is DOA)

测试系统动力学主要是解决测试系统的动态性能指标，对动态特性的研究有很大的意义。(Test system dynamics mainly to resolve the dynamic performance measurement system, the dynamic characteristics of a great significance.)

MIMO capacity This code is best for MIMO capactiy study.

基于LabVIEW的FSK调制解调仿真设计.....(FSK modulation and demodulation based on LabVIEW simulation design .....)

运动检测的matlab程序 效果不错的 推荐给大家(motion detection programed by matlab)

粒子群算法，很好用的，请大家多多支持，一定要学的好的东西，对我们的大学生活有很好的帮助(PSO, a very good use, please support, we must learn good things, our universities have a good life with the help of)

Code implementation of a Kohonen Neural Network that solves the Traveling salesman problem for 500 cities.

判断参数的影响因素，本人已亲测，请大家放心下载(Judging the influence of parameters)

matlab编写的有关图论方面的程序，在这里与大家分享，共同学习！(Matlab prepared by the relevant theory of the procedure, here and share with everyone, learning together!)

说明：  .附件结构: gatbx.rar: (1)gatbx-origin.zip; (2)gatbx-toolbox.rar; (3)gatbx-example.rar 2.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,(Annex structure: gatbx.rar: (1) gatbx-origin.zip; (2) gatbx-toolbox.rar; (3) gatbx-Test_fns under the compression package need to be added to Mat. The lab search path can be done, and gatbx-origin is the original version of the toolbox provided by Sheffield University, without any changes, which can be used for comparison. 3. Gatbx-example is the source code of example debugging and the debugging instructions of each example. You can compare it with the original book. 4. It is assumed that the gatbx toolbox is better than the gads toolbox in the new version of MATLAB 7 in familiarizing and understanding the principle and calculation process of genetic algorithm, although it is less visualized than gads.)