HUFFMAN____code

很好的matlab学习资料，由浅到深的解析，附带源码(Matlab good learning materials, from shallow to deep analysis, with source code)

用jacks 方法产生瑞利衰落 需要的朋友下来看看资源互换(methods used jacks Rayleigh fading need to see friends from exchange resources)

Matlab code for image compression using haar wavelet transforms

bfsk调制解调误码率仿真，需要用MATLAB来实现的好东西(bfsk modem bit error rate simulation, need to use MATLAB to implement the good stuff)

这个是Raman放大的简单程序，使用的是MATLAB自带的ODE45函数。(This is a simple program Raman zoom, using the MATLAB comes with ODE45 function)

Control engineering aguid for beginners

说明：  现代控制理论实验课 matlab倒立摆仿真代码和动画演示 使用matlab的倒立摆建模和仿真设计 使用了状态反馈控制器设计闭环反馈控制系统 实现了动画演示 文档说明：（中文字符显示某些问题，后续更改，系统的simulink构建很简单，这里没有注意到） 系统分析文件夹 .m输入为加速度的情况下的开环系统.m文件 F .m输入为力开环系统的m文件 State_FeedBack_controller.m输入为加速度的闭环系统的m文件 动画演示文件夹 sys.m生成整个控制系统的s函数 pendan.m显示动画的s函数 dh.mdl最终的动画倒立摆simulink的建造(Modern control theory experiment course Matlab inverted pendulum simulation code and animation demonstration Modeling and simulation design of inverted pendulum using MATLAB The closed-loop feedback control system is designed by using the state feedback controller The animation demonstration is realized Document description: (some problems of Chinese character display, subsequent changes, the system's Simulink construction is very simple, not noticed here) System analysis folder Open loop system. M file with. M input as acceleration The input force of the open loop F.M system State_ FeedBack_ The controller. M input is the m file of the closed loop system with acceleration Animation folder Sys. M generates the s function of the whole control system Pendan. M s function for displaying animation dh.mdl The construction of the final animation inverted pendulum simulink)

基于灰度匹配准则的图像匹配，能快速找出对应下帧图像中对应的图像(Matching criterion based on a grayscale image matching, can quickly find out the corresponding frame image in the image )

说明：  通过相关角度的DOA估计中的经典music算法,(Through the relevant point of view of the DOA estimation classic music algorithm,)

BP Alphabet learning program as data classification example