optics-matlab

基于二进制编码遗传算法的ＰＩＤ整定的仿真程序(Binary-coded genetic algorithm based on the PID tuning the simulation program)

This work outlines the application of ground-based GPS to climate research and meteorology without omitting the fact that precise GPS positioning can also highly benefit using numerical weather models for tropospheric delay determination for applications where GPS troposphere estimation is not possible, for example kinematic and rapid static surveys. In this sense, the technique of GPS-derived tropospheric delays is seen as mutually improving both disciplines, precise positioning as well as meteorology and climatology

基于时变的因子向量自回归模型的matlab程序(Based on time-varying factor vector autoregression model matlab program)

对于给定信噪比的通信系统，估计差错概率,数据调制采用GMSK(Estimate error probability for a given SNR communications system,the data modulation method is GMSK )

matlab与mas系统的结合 设计了多智能体的合作与竞争机制 效果还不错(The combination with the mas matlab system designed multi-agent cooperation and competition results were pretty good)

改程序将实现对两个信号的曼切斯特编码，以用仿真软件验证过了(Reform program will achieve two Manchester encoded signal to a validated using simulation software)

使用MATLAB simulink 设计picoblaze (picoblaze design by MATLAB simulink)

无线通信中MIMO信道容量OFDM信道防真，BPSK调制(MIMO wireless communication OFDM modulation channel capacity to prevent)

ofdm系统基于matlab的m语言仿真(OFDM system is based on the m language matlab simulation)

说明：  按FPE定阶的 源程序：fpe.cpp M序列：M序列.txt 白噪声：Gauss.txt 程序中先用依模型阶次递推算法估计模型的参数，再用fpe方法判断模型的阶次。 程序运行结果如下： n: 1 判断阶次FPE的值: 0.0096406 -0.481665 1.07868 n: 2 判断阶次FPE的值: 0.00875755 -0.446739 0.00498181 1.07791 0.0527289 n: 3 判断阶次FPE的值: 0.0087098 -0.459433 0.120972 -0.0569228 1.07814 0.0390757 0.116982 n: 4 判断阶次FPE的值: 0.000396884 -0.509677 0.4501 -0.200906 0.0656188 1.07991 -0.0156362 0.442989 0.0497236 n: 5 判断阶次FPE的值: 3.2095e-007 -1.18415 0.813123 -0.517862 0.34881 -0.116864 1.07999 -0.744141 0.474462 -0.253112 0.122771 n: 6 判断阶次FPE的值: 3.23349e-007 -1.14659 0.76933 -0.487651 0.329676 -0.10377 -0.00440907 1.07999 -0.703574 0.447253 -0.235282 0.113587 0.00479688 从以上结果可以看出，当n=5时，fpe值最小，所以这时的模型阶次和参数估计值为最优结果： 3.2095e-007 -1.18415 0.813123 -0.517862 0.34881 -0.116864 1.07999 -0.744141 0.474462 -0.253112 0.122771(err)