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This project describes identification of number plate from vedio.

Tikhonov正则化工具箱，可实现病态方程组的正则化，以及采用L曲线法、岭估计法、GCV法等确定正则化参数，内含使用方法，亲测有效。(Tikhonov regularization toolbox, which can realize regularization in morbid equations, and using the L curve method, ridge estimation, GCV method to determine the regularization parameter, embedded application method, effective measurement.)

是一个人脸识别系统，过程非常详细，对学习非常有帮助(Is a face recognition system, the process is very detailed and very helpful in learning)

本算法是通过共振峰的方法，利用信号的倒谱特性对语音信号进行处理。(This algorithm is the method by the resonance peak, the signal characteristics of the cepstrum of the speech signal processing.)

基于matlab平台下实现huffman编码(Matlab implementation platform based on the huffman coding)

如何在Simulink中搭建Sigma Delta ADC的的非理想模型MODELING BAND，已通过测试。 (In Simulink to build a Sigma Delta ADC' s non-ideal model MODELING BAND, has been tested.)

该本书籍非常适合MATLAB初学者学习，书籍的内容涵盖的面很广，包括对软件的安装，界面的介绍，MATLAB语言，数值计算，程序设计，符号运算，simulink仿真的介绍。这本书的内容，既详细又有许多例子为辅来解释软件的各项功能。对于需要MATLAB作为科研工具的学者们，这是一本非常好的工具书。对于想学习MATLAB软件的同学们，也是一本非常好的学习教材。(This book is ideal for beginners to learn MATLAB, surface content covers a wide range of books, including the introduction of the installation of the software, interface, MATLAB language, numerical computation, program design, symbolic computation, simulink simulation presentation. Contents of this book, there are many examples of both, supplemented by detailed to explain the features of the software. The need for MATLAB as a research tool for scholars, this is a very good tool. For those who want to learn MATLAB software for students, but also a very good learning materials.)

matlab教程，包含数学运算、函数调用及编程、图形绘制等详细讲解(Matlab tutorial, including mathematics, function calls and programming, graphics drawing in detail)

this is a matlab program for a feedback and control systems laboratory subject

说明：  运用博弈论，进行机器人避障避障，若多机器人之间存在动态碰撞，利用博弈论构建多机器人之间的动态避障模型，并利用虚拟行动法来解决博弈的求解问题及多Nash 均衡的选择问题，确保每 个机器人 能够快速学习到最优Nash 均衡(robot avoiding if there are dynamic collisions between multi-agents, the game theory is used to construct a dynamic obstacle avoidance model between multi-agents, and the virtual action method is used to solve the problem of solving the game and the selection of multiple Nash equilibriums to ensure that each agent can quickly learn the optimal Nash equilibrium.)