GUI01

这是一个关于异步电机无速度传感器的仿真模型，采用参考模型自适应(sensorless control of the IM based on the MRAC)

Principal componenet analysis code written in matlab paltform in order to solve multivariate problems like discriminating bological disease states from healty ones.

模式识别的一种算法，主要是设计和计算相应的支持向量机支撑的一种算法分析。(An algorithm for pattern recognition, mainly design and the corresponding support vector machine algorithm supported calculated.)

tA scheme of format conversion optical 16-ary quadrature amplitude modulation (16QAM) toquadrature phase shift keying (QPSK) signal based on cascaded four-wave mixing (FWM) in semiconduc-tor optical amplifiers (SOAs) is proposed. Theoretical analysis and simulations of the format conversionscheme are conducted to validate the feasibility of the proposal. In this proposal, the phase conjugatedof 16QAM signal is generated after the first FWM process in an SOA, and then the QPSK signal is con-verted due to the second non-degenerate FWM (ND-FWM) process in another SOA. The performance andthe optimal design of the 10 Gbit/s format conversion system under various key parameters of SOAs are uated and discussed. Simulation results present useful to enable interconnection between backbonenetwork and access network.

%P199_8  GA clc; clear; pop_size=100;%种群大小 m=42;%每个个体的基因数目 m1=21;%每个个体中x1占的位数 m2=21;%每个个体中x2占的位数 %产生初始种群 for j=1:pop_size     for i=1:m         num=randperm(2)-1;         str_num(j,i)=dec2bin(num(1));%随机产生的二进制数,pop_size个，每个m位            end   end delta=10; cc=0;%迭代次数 while delta>0.01%for qq=1:500%大循环 for j=1:pop_size for i=1:m     if i

使用MATLAB进行导弹比例导引率的仿真，修改后可以用于其他导引方式的仿真计算，另有方案弹道仿真，对研究不同导引律和制导弹道有帮助

这是数字信号处理的作业的第一部分包括了lms算法的基本步骤(This is a digital signal processing operations, including the first part of the basic steps of the lms algorithm)

利用matlab的GUI界面进行锥齿轮的弯曲和接触强度计算(use matlab s GUI to calculate bevel gear strength )

系统辨识 自适应控制 最小二乘 广义递推算法 噪声参数直接给定(system identification . Generalized least square identfication . with the noise parameters directly given)

自己用MATLAB写的一个基于多项式插值的亚像素处理算法，处理速度快(sub-pixel edge detect)