radarpulsegenPgui

loading data base in matlab which read different images from foler and load it to m file

我编写hopf的神经网络应用程序，第一次上传(I prepared the neural network applications, the first upload)

Spatial Channel model examples

Hilbert-Huang变换之EMD分解程序。可以直接运行，以及附有几个详细例子。可以用以对非线性非平稳信号的处理，效果理想。(Hilbert-Huang transform EMD decomposition process. Can be run directly, as well as with several detailed examples. Can be used for non-linear non-stationary signal processing, the results are satisfactory.)

通过布里渊频移的变化和散射功率的变化仿真构建布里渊频移变化量的空间分布和布里渊散射功率变化量的空间分布(Brillouin frequency shift change through changes and scattering power of simulation to build Brillouin frequency shift amount of space Brillouin scattering power distribution and the spatial distribution of the amount of change)

说明：  解决二个变量 之间的非线性关系，包括MATLAB中自带的五种copula函数。(Solve the non-linear relationship between two variables, including five Copula Functions in MATLAB.)

vectorcontrol3. sim. vfd cxsscrr njm

SIMULATION OF REGULATION PROBLEM

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)

说明：  方体切割动态规划,这是个数学建模问题，全赛解题(Cube Cutting Dynamic Programming)