filter1

视频加噪攻击 ，是基于matlab的，经过测试，效果很好，(AdditionalNoise)

2012年研究生数学建模大赛 D题 第一问 地球的显示的代码 MATLAB代码(Graduate Mathematical Modeling Contest D Earth in question first asked in 2012 the code displayed MATLAB code)

new principle in RADAR and LIDAR with pulse compression and ifft and fft

人脸识别Adaboost源代码,用matlab编写实现，使用Adaboost算法进行人脸检测(source code for face recognation using Adaboost)

基于LFSR和混沌理论的伪随机序列生成方法 (Pseudo-random sequences generating method based on LFSR and chaos theory)

基于matlab的EOF分解程序，包括旋转EOF分解，复数EOF分解等，附带详细的例子(matlab, including rotated EOF decomposition, plural EOF decomposition, etc., along with detailed examples)

2Transmitter,2Receiver,Spatial Multiplexing

该文件是学习matlab的经典教材，国内无法找到，本人从国外所得。(this book is the classical textbook for matlab.it is easy to learn and grasp by matlab engineers.)

weatherwax_DHS_solutions duda & hart

说明：  锅炉汽包水位控制系统是火力发电厂中的一个重要的热工控制系统，汽包水位的 控制大多采用传统PID控制方式。但是，传统PID控制器参数的整定是在获取对象数学 模型的基础上，根据某一整定规则来确定的，不能进行在线调整，难以适应锅炉汽包 水位这样一个复杂多变的控制系统，其控制效果往往难以满足要求。 本文应用模糊控制技术，设计了一种二输入三输出模糊自整定PID控制器，对锅 炉汽包水位进行控制，实现了PID参数的自适应调节。利用MATLAB对控制系统进行 仿真。结果表明，该控制器自整定能力及鲁棒性比传统PID控制器更强，响应速度快、 精度高，同时对虚假水位有较好的控制效果。(Boiler water level control system is an important thermal power plant in the thermal control system, boiler water level Control most of the traditional PID control method. However, the traditional PID controller tuning parameters for objects in mathematics Model based on the rules to determine a whole and can not be adjusted online, it is difficult to adapt to the boiler drum Water level control such a complex system, its control effect is often difficult to meet the requirements. In this paper, fuzzy control technology, designed a two input and three output fuzzy self-tuning PID controller, the pot Steam drum level control, the PID parameters to achieve the adaptive regulation. The control system using MATLAB Simulation. The results show that the controller auto-tuning capability and robustness more than the traditional PID controller, fast response, High precision, while the water level has better control of false results.)