EM-for-HMM-Multivariate-Gaussian-processes

procesado de imagen mat lab

％ 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) ()

Active approach - TOA LS(Active approach- TOA LS)

说明：  经过主元分析后的神经网络算法Matlab代码(After principal component analysis of neural network algorithm Matlab code)

Modelisation of DS-CDMA transmission system using Artificial Neural Network

该算法利用演化博弈的思想进行多小区用户的资源分配，将小区重叠部分当做种群，种群中的用户进行演化博弈进行网络切换，基站为其分配子信道。本算法利用matlab进行仿真测试，仿真结果显示演化博弈能够达到稳定，提升系统吞吐量，在小区资源分配能够有一个很好的参考。不同于传统的资源分配方法，可以给出一个新思路(The algorithm uses the idea of evolutionary game to allocate resources for multi-cell users. The overlapping part of the cell is regarded as a population. The users in the population are handed over by evolutionary game, and the base station allocates subchannels to them. The algorithm is tested by matlab. The simulation results show that the evolutionary game can achieve stability, improve system throughput, and have a good reference for resource allocation in the cell. Different from the traditional method of resource allocation, a new idea can be given.)

说明：  计算棱镜SPR传感器透射率，包括角度扫描和波长扫描两种模式。(Calculation of transmittance of prism SPR sensor)

matlab assignment 002

基于峭度理论的盲分离，根据峭度的大小来点分离的点(Blind separation based on the theory of kurtosis)

产生均匀分布的随机白噪信号,并观察数据分布的直方图产生均匀分布的随机白噪信号,并观察数据分布的直方图(Generate uniformly distributed random white noise signal, and to observe the distribution of the histogram data generated uniformly distributed random white noise signal, and to observe the data distribution histogram)