2D-Steady-State-Temp-Diffusion

2X2 MIMO系统使用ML（最大似然）接受。（验证可用）(2X2 MIMO system using the ML (maximum likelihood) to accept. (Verification can be used))

this file is for game with matlab code

考虑载波的qpsk信号在瑞利信道上的仿真(consider Carrier qpsk Rayleigh channel signal simulation)

Trajectory generation program using several methode of planification tapezoidel, bang -bang method

种大气湍流相位屏仿真函数，可准确模拟大气对激光相位的改变。(An atmospheric turbulence phase screen simulation function, can accurately simulate the atmospheric changes to the laser phase.)

用Matlab编写的铅垂平面内的比例导引方案弹道程序，目标为水平面内的平动物体(Proportional navigation scheme with ballistic programs written in Matlab vertical plane, the target for the level of animal body in a horizontal plane)

GM(1，N)模型的MATLAB实现,轻松实现GM模型的操作，且易于实现，很方便(MATLAB implementation of GM (1, N) model)

matlab计算两幅图片之间的psnr和ssim值，彩色图片，算法是转换为YUV计算的，YCbCr(matlab computing psnr and ssim value between two pictures, color pictures, the algorithm is converted to YUV calculation, YCbCr)

说明：  先进PID控制Matlab仿真(刘金琨编)第4版-仿真程序 全书分17章，包括基本的PID控制、PID控制器的整定、时滞系统PID控制、基于微分器的PID控制、基于观测器的PID控制、自抗扰控制器及其PID控制、PD鲁棒自适应控制、专家PID控制和模糊PD控制、神经网络PID控制、基于差分进化的PID控制、伺服系统PID控制、迭代学PID控制、挠性及奇异摄动系统的PD控制、机械PID控制，以及其他控制方法的设计。每种方法都给出了算法推导、实例分析和相应的MATLAB仿真设计程序。(Advanced PID Control matlab simulation (edited by Liu Jinqi) - 4th Edition - simulation program The book is divided into 17 chapters, including basic PID control, tuning of PID controller, PID control of time-delay system, PID control based on differentiator, PID control based on observer, ADRC and its PID control, PD robust adaptive control, expert PID control and fuzzy PD control, neural network PID control, PID control based on differential evolution, PID control of servo system and iterative PID control. The design of PD control, mechanical PID control and other control methods for flexible and singular perturbation systems. Each method gives the algorithm derivation, case analysis and corresponding MATLAB simulation design program.)

韩国lee tea won博士的fast iva的论文以及matlab源程序 (Lee Teawon s fast independent vector analysis for convolution BSS. )