雷达仿真教材示例

时变参数的粒子群优化的matlab实现，可用于解决多种连续优化问题(A flexible implementation of PSO algorithm with time-varying parameters. Algorithm is suitable for solving continuous optimization problems. Special care has been taken to enable flexibility of the algorthm with respect to its parameters and to initial population selection. Detailed logging of the algorithm performance during the search is also enabled. )

基于局域均值的盲源分离技术在故障诊断中的应用文章，希望对大家有用！(Based on Local Mean Blind Source Separation Techniques in Fault Diagnosis article, I hope useful for everyone!)

matlab code for ss.USE THESE FOR CR

kaerman 算法用于matlab中的计算(kaerman matlab algorith)

基于矩量法的程序，主要计算天线的散射问题(the program is about scattering of antenna base on MOM )

1．本程序演示的是用简单遗传算法随机一个种群，然后根据所给的交叉率，变异率，世代数计算最大适应度所在的代数 2．演示程序以用户和计算机的对话方式执行，即在计算机终端上显示“提示信息”之后，由用户在键盘上输入演示程序中规定的命令；相应的输入数据和运算结果显示在其后。 3．测试数据 输入初始变量后用y=100*(x1*x1-x2)*(x1*x2-x2)+(1-x1)*(1-x1)其中-2.048<=x1,x2<=2.048作适应度函数求最大适应度即为函数的最大值 (1. This program demonstrates a simple genetic algorithm is a random population, then according to the crossover rate and mutation rate, fitness for calculating the maximum number of generations in which algebra 2. Demo program to computer users and the implementation of dialogue, that is displayed on a computer terminal " message" after the keyboard input by the user specified in the order demo program the corresponding input data and results in a subsequent operation. 3. Test data input with the initial variables y = 100* (x1* x1-x2)* (x1* x2-x2)+ (1-x1)* (1-x1) where-2.048 < = x1, x2 < = 2.048 ask for the maximum fitness function is the function of the maximum fitness)

This is the MATLAB for the DSP working behind FM transmitters in FPGAs etc.

【实例简介】Matlab 和Smulink 制冷空调仿真资料集（资料 代码 案例）

this directory consist of simplify fuzzy artmap network m filse

二进制通信系统的进行蒙特卡罗仿真程序，以正交信号为基础。当均值分别等于０，０.１，１.０，２．０时完成１００００个比特的仿真并求出误差概率。绘出理论误码率和蒙特拉罗仿真的差错率并进行比较这俩个结果，并绘出每个均值情况下判决器的１０００个接受信噪比抽样(Binary communication systems to carry out Monte-Carlo simulation procedures to orthogonal signal basis. When the mean, respectively, equivalent to 10,000 completed 0,0.1,1.0,2.0 bit error probability simulation and obtained. Mapping theory and蒙特拉罗BER simulation这俩error rate and compare results, and the mean circumstances of each mapped)