3.15

看到有些同学在找这方面的资料，的确蒙特卡洛仿真在通信中的应用非常广泛，我把我现有的资料发给大家，希望对大家有用。(The instruction of 02.Monte Carlo Method in matlab)

改进的压缩感知的红外小目标跟踪。将原始特征由haar特征替为直方图。初始时用tophat增强小目标。(Dim IR target tracking via improved compressive sensing. The original haar featrue of CT method is replaced by histogram,and the target enhanced by tophat.)

turbo乘积码，子码扩展汉明码，译码用chase算法(turbo product code, subcode extended Hamming code decoding algorithm with chase)

基于粒子滤波实现的纯方位目标跟踪，最后证明该算法收敛(Particle filter based on the realization of the bearings-only target tracking, the final proof of the convergence of the algorithm)

自己写的matlab m文件 各种混沌信号的产生和比较(Matlab m file their written various chaotic signal generation and comparison)

matlab to zemax program

PSO算法和最速下降法混合算法，求解单目标优化问题，测试函数是非线性方程组，解决MinF(x)的问题。(PSO algorithm and steepest descent method hybrid algorithm for solving single-objective optimization problem, the test function is non-linear equations, solving MinF (x) of the problem.)

说明：  《有限单元法及其应用》（彭细荣），中的代码系列，包含有matlab代码和ansys，apdl命令流，。第一章。(answer，about finite element method application)

学习基于状态空间的模型预测控制强烈推荐的一本书(Model Predictive Control for State Models W.H. Kwon and S. Han)

光学双稳特性曲线 调制作用:It=Ii*T(phi) 反馈作用:phi=phi_0+K*It 得透射率T(phi)与相移phi的反馈关系是 T(phi)=[phi-phi_0]/[K*Ii] 式中phi_0为初始相移 对于多干涉(F-P干涉)有: T(phi)=1/[1+F*(sin(phi/2))^2](Optical bistable characteristic curve modulation role: It = Ii* T (phi) feedback: phi = phi_0+ K* It may transmittance T (phi) and phase-shifting relationship between phi feedback T (phi) = [phi-phi_0 ]/[K* Ii] where phi_0 for the initial phase shift for the multi-interference (FP interference) are: T (phi) = 1/[1+ F* (sin (phi/2)) ^ 2])