gonglvpumatlab

极大似然估计法用于系统模型辨识，需要构造一个以观测数据和未知参数为自变量的似然函数。(Maximum likelihood estimation method for system model identification, the need to construct a likelihood function as independent variables to the observed data and the unknown parameters.)

说明：  一个关于数值分析的matlab演示，十分有用(A presentation on the numerical analysis matlab, very useful)

卡尔曼滤波器相关的程序，对目标的速度均方根误差等进行了仿真(Kalman filter procedure, the speed of the target such as root mean square error simulation)

里面搜集了各种用matlab编写的回归分析算法，相信对参加建模竞赛的同学们会有所帮助。(Which collected a variety of regression analysis using algorithms written in matlab, I believe the students who participate in modeling contest will help.)

This matlab code gives the BER of MRC, EGC and SC for QPSK

this is primer for matlab, this website is irritating

next xhapter on digital communication basics, lot of basic stuffs available

OFDM SIMULATION HOW TO CREATE A OFDM SIGNAL

求解MATLAB单纯型法程序求解MATLAB单纯型法程序(MATLAB simplex method for solving process-based method for solving simple MATLAB program)

说明：  粒子群优化算法(Particle Swarm optimization,PSO)又翻译为粒子群算法、微粒群算法、或微粒群优化算法。是通过模拟鸟群觅食行为而发展起来的一种基于群体协作的随机搜索算法。通常认为它是群集智能 (Swarm intelligence, SI) 的一种。它可以被纳入多主体优化系统(Multiagent Optimization System, MAOS)。粒子群优化算法是由Eberhart博士和kennedy博士发明。(The probabilistic neural network has a simple structure and is easy to design Particle Swarm Optimization (PSO) is translated as Particle Swarm Optimization, Particle Swarm Optimization, or Particle Swarm Optimization. It is a random search algorithm based on group collaboration developed by simulating the foraging behavior of birds. It is generally considered to be a type of swarm intelligence (SI). It can be incorporated into Multiagent Optimization System (MAOS). The particle swarm optimization algorithm was invented by Dr. Eberhart and Dr. Kennedy.)