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本压缩包里的文件包括MATLAB编写的数字识别程序以及所用的数字样本，供大家参考。(Number Recognition)

用matlab编程实现数字传输码型的仿真，包括单双极性归零，不归零，HDB3等(Digital transmission code simulation using matlab programming, including single and double polarity zero, not zero, HDB3, etc.)

IceKey Licance Control System

利用斯托克斯公式分析偏振态(Analysis of polarization state by Stokes formula)

matlab时频工具箱，比较齐全，里面包含了时频分析的主要算法(time-frequency toolbox matlab, more complete, which includes the time-frequency analysis of the main algorithm)

说明：  计算了沿CMPL厚度方向，可以看出，CMPL的界面从第一个网格移动了1/4个网格，这是为了保证，CMPL更新的电场和磁场的数目相同。(The thickness direction along CMPL is calculated.It can be seen that the interface of CMPL moves 1/4 of the grid from the first grid to ensure that the number of electric and magnetic fields updated by CMPL is the same.)

智能控制理论的各种算法及其应用，第一章为引言部分，概略控制理论和技术的发展、应用、复杂性等，对各章内容做一个大概的介绍；第二章介绍模糊逻辑基础，包括各种模糊基础模糊语言等；第三章主要讲模糊控制的概念、应用、范围和各种参数等；第四章介绍神经元网络的基本理论、神经网络基本模型等；第五章针对第四章的神经网络模型，提出了神经网络控制办法及其目的和各种模型；第六章讲了遗传算法，包括基本遗传算法，GA的实现技术等。本材料为东南大学和南京航空航天大学各相关工科专业的指导教材，为绝大多数老师所指定。(Various algorithms for intelligent control theory and its applications, the first chapter is an introduction part, the schematic control theory and technology development, application, complexity, do a general introduction to the contents of each chapter second chapter introduces the fuzzy logic base, blur the basis of fuzzy language Chapter the main stresses the concept of fuzzy control, application range and variety of parameters fourth chapter describes the basic theory of neural network, neural network model, etc. Chapter V for the first The four chapters of the neural network model, the proposed neural network control approach and its purpose, and a variety of models sixth chapter genetic algorithms, including the basic genetic algorithm, GA implementation techniques. This material is Southeast University and Nanjing University of Aeronautics and Astronautics and the related engineering guidance materials specified for the vast majority of teachers.)

利用c语言生成符合正态分布的随机数，并在matlab程序中画出曲线图，并与理论值比较(Use c language to generate normally distributed random numbers and draw graphs in matlab program)

Modelisation of DS-CDMA transmission system using Artificial Neural Network

图像分类。将图像中的40个样本作为训练样本，训练得到分类器，将另外160个样本作为测试样本测试分类器的效果。(Image classification. The image of the 40 samples as training samples, the trained classifier, an additional 160 samples as a test sample test classification results.)