tongjituiduan

％ 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) ()

PIDTuningUsingG.A pid 算法(PIDTuningUsingG.A pid algorithm)

cma的MATLAB仿真程序，已经仿真过，供大家参考(cma of the MATLAB simulation program has been simulated for reference)

文献1的仿真程序 solves the linear least squares problem with nonnegative variables = using the newton s algorithm in [1]. [1] Portugal, Judice and Vicente, A comparison of block pivoting and ％ interior point algorithms for linear least squares problems with ％ nonnegative variables, Mathematics of Computation, 63(1994), pp. = 625-643(literature of a simulation program solves the linear least squares p roblem with nonnegative variables using the n = ewton's algorithm in [1]. [1] Portugal. Judice and Vicente. A comparison of block pivoting and interior% po int algorithms for linear least squares proble ms% with nonnegative variables, Mathematics of Computation, 63 (1994), pp. = 625-643)

图片点阵离散及傅里叶正变换和傅里叶逆变换(Image discrete lattice and Fourier transform)

it is for simple hill climbing algorithm

Matlab function. Laplacian enhancement technique described in connection with Eq. (3.7-5). Use the mask shown in Fig. 3.39(d). Gonzalez. Image Processing

用卡尔曼滤波算法实现的目标跟踪，本MATLAB程序已在MATLAB2010经过成功验证。(Kalman filtering algorithm is used to implement the target tracking, the MATLAB has been MATLAB2010 after successful validation. )

Introduction to kinematic of artificial satellite

回波抵消器中常用的几种自适应滤波算法有LMS, NLMS, RLS等算法。对现有主要算法的性能进行了分析，并对优缺点进行评价和比较。为了在收敛速度和运算量之间得到很好的折衷，对NLMS算法改进，得到了 PNLMS(Echo cancellation devices commonly used in adaptive filtering algorithm has several LMS, NLMS, RLS, such as algorithms. The main algorithm of the existing performance analysis, and evaluation and comparison of the advantages and disadvantages. For the convergence between computing speed and a good compromise on the NLMS algorithm improvements have been PNLMS)