ofdm-siso

该文档第一部分总结了matlab中的基本函数其表达式，编程以及范例。第二部分讲了如何插值拟合以及查表。里面有非常详细的解释，并且配有程序范例。(The first part of the document summarizes the basic function of matlab in its expression, programming, and example. The second part of the talk about how to fit and look-up table interpolation. There are very detailed explanation, and with a program example.)

说明：  基于matlab的激光谐振腔的横模模拟程序，用于模拟激光腔不同参数下的模式(MATLAB program of laser )

生成数字信号处理课程常用信号：冲激、阶跃、斜坡、正弦、复指数和指数信号，幅度长度时延频率相位可控。(Signal generation, capable of generating pulse, step, ramp, sine, complex sine and exponent signals.)

主要是MIMO-OFDM系统的C++语言实现，简单实用，值得一看。(This is a C++ language of MIMO-OFDM system, simple and practical, worth a visit.)

本程序是自己写的，在瑞丽衰落信号下的BPSK仿真，已经经过试验成功(This program is written in their own, in Ruili fading BPSK simulation signal, has been successfully tested)

MATLAB赋值，获取最大值，及其最小值到等！(MATLAB assignment, obtain the maximum)

先进PID控制及其MATLAB仿真(刘金锟)(Advanced PID control and MATLAB simulation (Liu Kun) )

最小环长为6的LDPC码构造代码,能构造性能优良的LDPC码(the min girth is 6 LDPC construction method )

平衡车源代码 arduino的，使用3轴加速度，角速度检测，然后是卡尔曼滤波

说明：  SGA（Simple Genetic Algorithm）是一种强大的智能多变量优化算法，它模仿种群繁殖规律来进行优化。本SGA可以优化变量，求最小值,最大值（当把函数倒数也就求最小值） 并且支持浮点编码，grey编码，二进制编码；轮赌法选择，锦标赛选择；单点交叉，均布交叉，浮点交叉；单点变异，浮点变异；调用时Genetic（目标函数名） 使用SGA时，首先需要一个目标函数（像AimFunc.m），该函数返回适应度输入变量为待优化变量x输出为一个适应度。然后修改Genetic.m中可以修改的地方(SGA (Simple Genetic Algorithm) is a powerful smart multi-variable optimization algorithm, which mimics the reproduction of law to be optimized. The SGA can be optimized variables, minimum, maximum, (when the function will last for the minimum) and supports the floating-point encoding, grey code, binary code round of betting method selection, tournament selection single-point crossover, uniform crossover , floating-point crossover single point mutation, floating-point mutation called Genetic (objective function name) the use of SGA, first of all need an objective function (like AimFunc.m), the fitness function returns the input variables to be optimized for the output variable x a fitness. Can be modified and then modify the place Genetic.m)