GroupSparseBox_V3

OP37的一个资料。欢迎大家看看OP37的一个资料。欢迎大家看看

根据BCH码的编译码原理，用matlab实现的BCH码编译码，并进行误码率分析。(According to the principle of BCH code ，the program will realize the encodeing and decoding of BCH code，the analysis of BER.)

通过matlab代码，双向PCS控制仿真，DC-DC部分采用UHdJRnZ定功率单环控制，DC-AC采用Udc-Q解耦控制，系统直流电压由后级DC-AC实现稳定控制，trNkGDT参数合适 ( Through the matlab code, two-way PCS control simulation, DC-DC part of the UHdJRnZ fixed power control, Udc-Q using DC-AC decoupling control, the system DC voltage the rear stage DC-AC to achieve stable control, trNkGDT parameters suitable )

Kasami sequence generator using matlab

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)

lvq vector quantization algorithm for the simulation program Matlab.

详细介绍了BP神经网络和RBF神经网络的分类能力(Details of the BP neural network and RBF neural network classification ability)

图像处理中，图像质量的评价指标，信噪比等等(quality assessments of image in image processing)

2D particle movement in a circle domain

该幻灯片详细阐述了matlab函数的绘图函数，及函数详细的应用例程！(this book tell us how to use matlab software to draw picture!)