PID

a tutorial for simulink on matlab

对光纤传输系统中的色度色散进行了仿真，超级正确(pair of optical fiber transmission system of chromatic dispersion for simulation, the Super correct)

带有异步清零和置数信号（置数为全逻辑1）的4位寄存器(With asynchronous clear and set the number of signals (set the number for the whole logic 1) of the four registers)

implementation of k means algorithm source code

车牌定位系统的目的在于正确获取整个图像中车牌的区域，并识别出车牌号。(The purpose of plate positioning system to obtain the correct license plate area in the whole image, and brand recognition out of the bus.)

说明：  研究多帧图像超分辨复原算法中参考帧和参与复原图像帧数据集的选取问题(Selection of reference frame and the considering frames is investigating for multi-frame super-resolution restoration.)

使用MATLAB编程，用于仿真QPSK的解调

说明：  用于小波分析与信号处理，主要是cwt（）函数的应用举例。(Used for the wavelet analysis and signal processing, mainly CWT () function for the application. )

图1为均衡带限信号所引起失真的横向或格型自适应均衡器(其中横向FIR系统长M=11), 系统输入是取值为±1的随机序列，其均值为零；参考信号；信道具有脉冲响应： 式中用来控制信道的幅度失真(W = 2～4, 如取W = 2.9,3.1,3.3,3.5等)，且信道受到均值为零、方差(相当于信噪比为30dB)的高斯白噪声的干扰。试比较基于下列几种算法的自适应均衡器在不同信道失真、不同噪声干扰下的收敛情况(对应于每一种情况,在同一坐标下画出其学习曲线): 1）横向/格-梯型结构LMS算法 2）横向/格-梯型结构RLS算法 并分析其结果。(Figure 1 is a band-limited signal caused balanced horizontal or lattice distortion adaptive equalizer (FIR system in which the lateral length M = 11), the system input is the value of a random sequence of ± 1, mean zero reference signal channel has impulse response: Wherein the amplitude of the distortion for the control channel (W = 2 ~ 4, and so as to take W = 2.9,3.1,3.3,3.5), and subjected to a channel with zero mean and variance (equivalent SNR is 30dB) Gaussian white noise. Compare the following types of algorithm-based adaptive equalizer in a different channel distortion, the convergence of different noise interference (corresponding to each situation, draw their learning curve in the same coordinate): 1) landscape/grid- LMS algorithm ladder structure 2) landscape/grid- RLS algorithm ladder structure And analyze the results.)

说明：  基于sift的交通标志识别并创建GUI实现其功能(Traffic sign recognition based on SIFT and GUI implementation)