Ch8_GA_JSP

在mathematica环境下运行，对成绩进行分析。由于找不到mathematica的选项所以选了matlab(Mathematica run in the environment, an analysis of the results. Mathematica can not find the option as a result of the election so the matlab)

反馈网络是神经网络的基础 这里提供了神经网络中用到的反馈 这里能充分理解文档的内容就能很好的掌握神经网络的基础。我将各个函数写成了不同的文档 就是便于大家理解。(Feedback network is the basis of the neural network here provides feedback neural network is used here to fully understand the content of the document can very good master the basis of neural network. I will each different function in the form of a document is easy to understand.)

The objective is to demonstrate character/ symbol frequency distribution analysis (reference to the English language) on 2 vintage ciphers, namely Caesar cipher (a mono-alphabetic substitution cipher) and the Vigenere cipher (a poly-alphabetic substitution cipher).

V-BLAST MIMO STRUCTURE

Matlab与VC++混合编程，用VC调用Matlab命令(Matlab and VC++ mixed programming with VC call Matlab command)

Lte fundamentals and mathematical algorithms

对matlab语言编程中易犯的错误进行了详尽的讲解，并讲解了matlab编程的许多诀窍(Matlab programming language pitfalls in detail explanation to explain the Matlab programming know-how)

图像融合工具箱先取两幅源图像相应的小波分解系数绝对值最大者的值作为融合图像的分解系数(先取两幅源图像相应的小波分解系数绝对值最大者的值作为融合图像的分解系数)

KNN算法实现，初始化模糊成员等级 initialize fuzzy membership grades of sample output for fuzzy KNN(initialize fuzzy membership grades of sample output for fuzzy KNN)

自适应CMA算法实现对分空间的盲均衡，仿真数据随机产生。(CMA adaptive algorithms for blind equalization of sub-space, simulation, randomly generated data.)