digital-image-processing

％ 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) ()

This tutorial is the next of before, you will learn a few of the basic functions of Matlab. First we will start working with basic mathematical functions, setting variables, and generating time series.

双DQ锁相PLL算法的研究，具有一定参考价值。(Research Documentation double DQ phase-locked PLL algorithm has some reference value.)

一本用于matlab最优化设计的电子书籍，对初学者有很大的帮助。(A used in matlab optimization design of electronic books, has a great help for beginners. )

使用概率数据关联进行目标的关联，用于多目标跟踪过程。(Using PDA algorithm for data association.)

实验程序MATLAB的图像变换和频谱分析，运运行的是有利于通过。,可以直接使用。 (The experimental procedure of MATLAB image transformation and spectral analysis, transport run is conducive to the adoption. Can be used directly.)

说明：  对信号进行频域特征提取，先通过傅里叶变换得到信号频谱，再计算频谱特征，包括重心频率，均方频率和频率方差(Firstly, the frequency spectrum of the signal is obtained by Fourier transform, and then the spectrum characteristics, including center of gravity frequency, mean square frequency and frequency variance, are calculated.)

利用matlab产生一个雷达回波信号，模拟了信号的强度和回波时间的变化(Using matlab to generate a radar echo signal, analog signal intensity and echo time of change)

说明：  V带传动多目标优化设计 轴系设计计算 轴系设计计算-2(V belt drive shaft multi-objective optimization design calculations-2 shaft design calculation)

这是一个目标跟踪的matlab代码，机器人专业的同学应该会很感兴趣！！(This is a target tracking matlab code, the robot professional students should be very interested in! !)