IHS

Digital ImageProcessing Using MATLAB 数字图像处理（MATLAB版） 冈萨雷斯和伍兹所著 这本书的matlab代码编译后的文件 可以在matlab中使用 (Digital ImageProcessing Using MATLAB digital image processing (MATLAB version) written by Gonzales and Woods book compiled matlab code files can be used in matlab)

Image Processing toolbox - Average filter(Image Processing toolbox- Average filter)

albigenses+小波神经网络算法的研究，本例程给那些需要的人使用(albigenses+ wavelet neural network algorithm, the routine for those who need to use)

用于MATLAB作图中，多张图的合并（里面的文件路径需要根据需要更改）(For the MATLAB plot, the multiple number of pictures merger (inside the file path needs to be changed as needed))

FBG delay simulation

分为5个部分： 3.1 M文件 3.2 程序控制结构 3.3 函数文件 3.4 程序举例 3.5 程序调试(Divided into five parts: 3.1 M Document Control 3.2 Functions 3.3 Document Structure 3.4 program debugging program, for example 3.5)

Perfect matlab facetracker, detects eyes, mouth and face.

在这项工作中所使用的方法是基于一个由大卫阿诺德教程。 http://online.redwoods.cc.ca.us/instruct/darnold/diffeq/logistic/logistic.pdf 这将运行该Logistic.m带来了图形用户界面。 1。放弃在列的格式文本文件中的x值 2。放弃在山口格式文本文件中的y值 3。的阴谋初始 按钮将绘制的分布 4。 查找适合 按钮，会找到最适合 5。 重置 将删除的情节（虽然我想打扫所有的领域 -没有时间） 5。地下K，糖尿病在下列公式中的值 Ÿ 等于k/（1+进出口（- G *的（十型录））） 6。上证所给出了squred误差之间的拟合函数与实际数据的总和 7。消委会提供的相关合作关系的实际数据拟合功能和效率(The method used in this work is based on a tutorial by David Arnold. http://online.redwoods.cc.ca.us/instruct/darnold/diffeq/logistic/logistic.pdf RUN The Logistic.m this will bring up the GUI. 1. Give the x values on a text file in column format 2. Give the y values on a text file in col format 3. Plot Initial Button will plot the distribution 4. Find Fit button will find the best fit 5. Reset will remove the plot (Although I wanted to clean all the fields- did not have time) 5. K, G, Dm are the values in the following equation y = K./(1+exp(-G*(x-Dm))) 6. SSE gives the sum of squred error between the fitted function and the actual data 7. CC give the correlation co-efficient between the fitted function and actual data)

Matlab策略之动量策略，根据前P个月的收益率，选取股票收益率最高和最低的组合买入，并持有Q个月(Matlab strategy momentum strategies, based on the previous month yields P, select the highest and the lowest stock returns a combination of buy and hold Q Months)

dijkstra算法matlab程序，很简单很好用(Dijkstra algorithm matlab, very simple works nicely )