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MATLAB STREL UNCTION MATLAB CODE IN IMAGE PROCESSIG

基于互信息熵的图像配准方法，其中包括图像配准的程序，还有程序运行的界面，对于初学图像配准或者利用MATLAB做GUI界面的同学有所帮助(Entropy based on mutual information image registration methods, including image registration procedures, as well as run the interface, image registration for the novice or the use of MATLAB GUI interface to do help the students)

对均衡进行初始化，并计算固定均衡矩阵等固定参数。 (Initialization and calculation of ixed parameters, e.g. cell positions,equalization matrix etc.)

IMAQPLOT is a simple demonstration of previewing video data using the toolbox s TimerFcn callback. IMAQPLOT also allows users to integrate the video preview into any MATLAB GUI. These are capabilities that are present in the toolbox s PREVIEW command, but are presented here as a demonstration of TimerFcn callback. Using toolbox callback properties, you can configure a video input object to generate a live image plot display. Do you want a basic preview window created for you? Simply call: obj = videoinput( matrox , 1) obj.TimerFcn = @imaqplot obj.TimerPeriod = 0.1 obj.FramesPerTrigger = Inf start(obj) Do you want to add a preview window to an existing GUI? Simply provide IMAQPLOT a handle to an image object and it will update it for you: obj = videoinput( dt , 1) obj.TimerFcn = {@imaqplot, hImage} obj.TimerPeriod = 0.1 obj.FramesPerTrigger = Inf start(obj)

说明：  前半部分仿真可能是对的 ，但是后面求频偏估计均方误差与定时估计均方误差的图像时，就不对了。希望告诉们能给我解答一下(code about OFDM)

matlab实现对ccd相机的实时采集，gui显示图像，并进行处理(matlab to realize real-time acquisition ccd camera, gui display images, and processing)

matlab fir LPF least square error with zeroa weighted

a doctorate thesis for dynamic multi-objective optimization

说明：  加性噪声以及jakes信道模型的代码，对新手可以起作用。(Additive noise and the code of the jakes channel model can play a role for novices.)

说明：  灰色模型预测是在数据不呈现一定规律下可以采取的一种建模和预测方法，其预测数据与原始数据存在一定的规律相似性(Grey model prediction is a kind of modeling and prediction method that can be adopted when the data does not show certain rules. There is certain regularity similarity between the prediction data and the original data)