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[matlab] dsakf DL : 0: ％文件名：randlsbget.m ％程序员:余波％编写时间:2007.6.25 ％函数功能: 本函数将完成提取隐秘于上的秘密信息％输入格式举例:result=( scover.jpg ,56, secret.txt ,2001) ％参数说明: ％ output是信息隐藏后的图象％ len_total是秘密信息的长度％ goalfile是提取出的秘密信息文件％ key是随机间隔函数的密钥％ result是提取的信息 function result=randlsbget(output,len_total,goalfile,key) ste_cover=imread(output) ste_cover=double(ste_cover) ％判断嵌入信息量是否过大 [m,n]=size(ste_cover) frr=fopen(goalfile, a ) ％ p作为信息嵌入位计数器将信息序列写回文本文件 p=1 ％调用随机间隔函数选取像素点 [row,col]=randinterval(ste_cover,len_toal,key) for i=:len_toal if bitand(ste_cover(row(i),col(i)),1)==1 fwrite(frr,1, bit1 ) result(p,1) else fwrite(frr,0, bit1 ) result(p,1)=0 end if p==len_total break end p=p+1 end fclose(frr)
Date : 2025-12-27 Size : 3kb User : yubo
[matlab] PLS1_sina DL : 1: 用于单变量的偏最小二乘回归，直接给出回归系数。 X0是自变量矩阵，Y0是因变量向量，PRESS是去除其中某一个样本而回归出的方程对缺失样本的误差估计，SS则是使用全部样本回归出的方程对同一个样本的误差估计。在h个成分时，计算PRESS_h与SS_h-1，若1-PRESS/SS大于0.0975时，应增加成份。 [row,col]=size(pz) -For single-variable partial least squares regression, regression coefficients are given directly. X0 is the independent variable matrix, Y0 is the dependent variable vector, PRESS is to remove one of them out of the sample and the regression equation for missing samples error estimates, SS is the use of all of the sample regression equation out of a sample of the same error estimates. In h constituent, the calculation PRESS_h and SS_h-1, if the 1-PRESS/SS greater than 0.0975, to increase the ingredients. [Row, col] = size (pz)
Date : 2025-12-27 Size : 1kb User : 张灏
[matlab] FitDataToALogisticFunction DL : 0: 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
Date : 2025-12-27 Size : 11kb User : abeaqhax
[matlab] hex2dec_diy DL : 0: function hex2dec_diy(infile,outfile,row,col) 从文件中读取十六进制的数据，转换为十进制数据后，再存储数据文件。 infile: 输入文件名，字符类型 outfile：输出文件名，字符类型 row：输入数据行数，数值类型 col：输入数据列数，数值类型 Author: xcw Data: 2011-07-27 -no description
Date : 2025-12-27 Size : 1kb User : xin_canwei
[matlab] CONTOUR-FOLLOWING DL : 0: [knew,m,n]=contour_b_trial_2(a,row,col) knew=contour image m=contour background pixels n=contour object pixels ch=contour_code_2(m) ch=contour code [k8,m8]=eightneighbour(k,n) k8=contour image containing eight neighbourhood m8=contour pixels [k4,m4]=fourneighbour2(k,n) k4=contour image containing four neighbourhood m4=contour pixels press pause after each plot to continue
Date : 2025-12-27 Size : 5kb User : deepsash