second-order-analysis-of-complex-RVs

FSK 信号的循环谱程序，验证了是正确的(The cycle of FSK signal spectrum procedure, verify the is correct)

设计主动悬架控制系统框图，使用matlab软件建立主动悬架模型，在simulink中进行仿真计算，给出垂直加速度图。(Block diagram of control system design for active suspension, semi-active suspension model established using MATLAB software, the simulation in Simulink, given the vertical acceleration diagram.)

说明：  基于ISO532A计算响度；播放声音；倍频程声压级计算(Calculation of loudness, playing sound, octave sound pressure level based on iso532a)

MATLAB人脸识别,运行TEST.m文件看效果就可以了，完成的功能就是识别人脸并标记起来。(MATLAB+human face recognition,run TEST.m to show the performance,To be sure that images in the images file are in the same size,)

基于遗传算法的配电网重构，有效降低配电网网损，提高了电能质量(It is a Distribution network reconfiguration based on Genetic algorithm.)

generalized sidelobe cancellation implented frome "Adaptive filter theory 3th edition, page 320-335" author: ب ه م ن ی ا ن د ا ن ش گ ا ه ش ی ر ا ز

本程序是测量机器人误差改正的程序，用matlab编的，自己开发的(This procedure is a measure of the robot error correction procedures, the use of matlab plait, their development )

high power diode manual

％ 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) ()

这里主要对LMS算法及一些改进的LMS算法（NLMS算法、变步长LMS算法、变换域LMS算法）之间的不同点进行了比较，在传统的LMS算法的基础上发展了LMS算法的应用。另一方面又从RLS算法的分析中对其与LMS算法的不同特性进行了比较，很值得研究！(The key players here and some of the LMS algorithm is an improved LMS algorithm (NLMS algorithm, variable step size LMS algorithm, transform domain LMS algorithm) the differences between the points of comparison, in the traditional LMS algorithm is developed on the basis of the LMS algorithm applications. On the other hand and from the analysis of RLS algorithm and LMS algorithm for its different characteristics were compared, it is worth studying!)