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FMRLC Simulation Cruise Control

GuassSeidel迭代法,得到完整的迭代数据和最中运算结果，可以自行控制误差以及迭代次数(GuassSeidelMethodForLinearEquations)

用MatLab环境进行OFDM仿真代码，具有注释详细，非常适合初学者。(source code for OFDM ,suitable for the beginner)

gate exam guide book

用MATLAB实现通信原理的QAM与MSK编码。两个源码以及用到的自己编写的相关MATLAB函数分别放在相应的文件夹下。(Using MATLAB and MSK communication principle of QAM encoding. Both source and associated MATLAB functions used in their preparation were placed in the appropriate folder.)

逐步判别分析的主函数 用于分类 [sel,c,c0,re,P]=StepclaassV2(data,[50 50 50],data,10) 输入变量 x为训练集.每行为一个样本，每列为一个变量. Class_x,为训练集的分类情况，一行，为各类样本数量,例如[5 6 9] Test为待分类样本. 输出变量：sel为选择的变量序号，c,c0为拟合出的判别函数.re为对Test的判别结果,P为其后验概率. author 王新 2012.4.8 例子Sample: load fisheriris x=meas Class_x=[50,50,50] Test=meas(1:5,:) Fa1=4 [sel,c,c0,re,P]=StepclaassV2(x,Class_x,Test,Fa1)( Stepwise discriminant analysis for the classification of the main function [sel, c, c0, re, P] = StepclaassV2 (data, [50 50 50], data, 10) input variables x as the training set, each conduct a sample of each as a variable. Class_x, the classification for the training set, a row, the number of samples for all types, for example, [5 6 9] Test sample to be classified. output variable: sel for the selected variables serial number, c, c0 is fitted discriminant function. re discrimination results for the Test, P its posterior probability. author Wang 2012.4.8 examples Sample: load fisheriris x = meas Class_x = [50,50,50] Test = meas (1:5, :) Fa1 = 4 [sel, c, c0, re, P] = StepclaassV2 (x, Class_x, Test, Fa1))

说明：  微网系统并网和离网两种状态的研究仿真。内容详细，常用控制算法的对比研究与仿真(Micro-grid systems and networks and off-grid simulation study of two states. Detailed, comparative study of commonly used control algorithms and simulation)

简化的JPDA算法，提高效率，速度提高不少(Simplified JPDA algorithm, improve efficiency)

用米氏理论的MATLAB程序代码计算悬浮球形粒子的相关散射效率因子，散射各向异性因子，散射系数，约化散射系数等(The related scattering efficiency factor, scattering anisotropy factor, scattering coefficient and reduced scattering coefficient of suspended spherical particles are calculated by MATLAB code of Mie theory)

微软的一道题目，有12个外表一模一样的小球，其中有一个的质量和其他11个球不一样（11个球的质量完全相同），而且该球不知道是轻点还是重点。现在给你一个天平（无砝码），只有3次测量机会，请你找出该球。球号从a到l(小写)(Microsoft' s one topic, there are 12 look exactly the same ball, one of which the quality and not the same as the other 11 balls (11 balls of the same quality), and that the ball does not know or focus of light spots. Now to give you a balance (no weight), only three measurements chance, would you please identify the ball. Ball number from a to l (lowercase))