akagamMIMO

％ 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) ()

分段控制器设计的MATLAB源程序，想做分段控制SIMULINK的同学可下载看看！(Segmented controller design MATLAB source, wanted segmented control SIMULINK students can download to see!)

The fusion of high-spectral/low-spatial resolution multispectral and low-spectral/high-spatial resolution panchromatic satellite images is a very useful technique in various applications of remote sensing. Recently, some studies showed that a wavelet-based image fusion method provides high quality spectral content in fused images. However, most wavelet-based methods yield fused results with spatial resolution that is less than that obtained via the Brovey, IHS, and PCA fusion methods. In this paper, we introduce a new method based on a curvelet transform, which represents edges better than wavelets. Since edges play a fundamental role in image representation, one effective means to enhance spatial resolution is to enhance the edges. The curvelet-based image fusion method provides richer information in the spatial and spectral domains simultaneously. We performed Landsat ETM+ image fusion and found that the proposed method provides optimum fusion results.

It provide the implamentation of the graphical user interface for the faces system

digital modulation System will automatically delete the directory of debug and release, so please do not put files on these two directory.

Obtain the CDF plots of PAPR from an OFDM BPSK transmission specified per IEEE 802.11a specification Per the IEEE 802.11a specifications, we 52 have used subcarriers. Given so, the theoretical maximum expected PAPR is 52 (around 17dB). However, thanks to the scrambler, all the subcarriers in an OFDM symbol being equally modulated is unlikely. Using a small script, the cumulative distribution of PAPR from each OFDM symbol, modulated by a random BPSK signal is obtained

基本粒子群算法源代码及解析，解析非常详细(The particle swarm algorithm source code and resolve a very detailed, analytical)

《matlab应用大全》赵海滨编著，清华大学出版社，第六章主讲积分和微分的运算源代码(The application of matlab Zhao Haibin compiled, tsinghua university press, the application of matlab Zhao Haibin compiled, tsinghua university press, chapter 6 on integral and differential operation of the source code)

最小二乘法是一种数学优化技术。它通过最小化误差的平方和寻找数据的最佳函数匹配。利用最小二乘法可以简便地求得未知的数据，并使得这些求得的数据与实际数据之间误差的平方和为最小。最小二乘法还可用于曲线拟合。其他一些优化问题也可通过最小化能量或最大化熵用最小二乘法来表达。(Least squares method is a mathematical optimization techniques. It matches by squaring and finding data to minimize the error of the best functions. Least square method can easily be obtained unknown data, and so these squared error between the obtained data and the actual data and the minimum. The least squares method can be used for curve fitting. Some other optimization problems can be expressed by the least squares method by minimizing or maximizing entropy energy.)

Power Iteration Clustering projection Input: W - row-normalized affinity matrix v0 - starting vector conv - convergence threshold maxit - maximum number of iterations Output: vt - 1-d PIC embedding i - iterations ran t - runtime