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应用随机过程教程及在算法和智能计算中的随机模型，清华大学出版社，龚光鲁，钱敏平著。(Tutorial and the application of random process algorithm and intelligent computing of the stochastic model, Tsinghua University Press, Gong Lu, Qian Min-Ping book.)

说明：  最小误差发图像阈值分割,实现图像的分割功能。(no)

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 code for that pdf

Commande Matlab de la MAS

matlab 图像处理电子书，适合基础入门的同学学习研究。(matlab image processing e-books, suitable for the introductory students learning research.)

MATLAB里面有LMS算法的程序，下面是我自己编写的LMS算法程序，供交流(MATLAB LMS algorithm inside the procedure, the following is my own preparation of the LMS algorithm procedures for the exchange of)

8Inverse Fisher discriminate criteria for small sample size problem and its application to face recognition 2005-Zhuang-Dai

ecently, more and more attention is paid to reversible data hiding (RDH) in encrypted images, since it maintains the excellent property that the original cover can be losslessly recovered after embedded data is extracted while protecting the image content’s confidentiality. All previous methods embed data by reversibly

说明：  仿真LMS均衡器 采用三径叠加信道，PSK调制，并计算误码性能(LMS equalizer simulation using three-path channel superimposed, PSK modulation, and calculate the BER)