MCMA

The economic load dispatch plays an important role in the operation of power system, and several models by using different techniques have been used to solve these problems. Several traditional approaches, like lambda-iteration and gradient method are utilized to find out the optimal solution of non-linear problem. More recently, the soft computing techniques have received more attention and were used in a number of successful and practical applications. The purpose of this work is to find out the advantages of application of the evolutionary computing technique and Particle Swarm Optimization (PSO) in particular to the economic load dispatch problem. Here, an attempt has been made to find out the minimum cost by using PSO using the data of three and six generating units

说明：  平方载波同步法的MATLAB实现 锁相环部分的仿真程序 结果正确 可以直接使用(PLLC.M)

searching file video using matlab and show them to TImage component

It is turbo encoder and decoder qritten for communication module has viterbi

chapter 2 matlab exercise sutton book

车队跟车模型，100辆车的首尾相接车队模型，用于研究城市路况跟车，节省整体交通效率的问题(The team follows the model of the car, and the fleet model of the 100 vehicles is used to study the traffic condition of the city and save the overall traffic efficiency.)

分解结构振动模态,识别模态参数，将多自由度振动分解为若干单自由度振动的叠加(structural mode decomposition)

关于IEEE-6、14 30节点系统很实用的，经过运行可靠MATLAB程序上的潮流计算(power flower)

MUSIC算法[1] 是一种基于矩阵特征空间分解的方法。从几何角度讲，信号处理的观测空间可以分解为信号子空间和噪声子空间，显然这两个空间是正交的。信号子空间由阵列接收到的数据协方差矩阵中与信号对应的特征向量组成，噪声子空间则由协方差矩阵中所有最小特征值（噪声方差）对应的特征向量组成。MUSIC算法就是利用这两个互补空间之间的正交特性来估计空间信号的方位。噪声子空间的所有向量被用来构造谱，所有空间方位谱中的峰值位置对应信号的来波方位。MUSIC算法大大提高了测向分辨率，同时适应于任意形状的天线阵列，但是原型MUSIC算法要求来波信号是不相干的。(clear all clc List0= E:DOA估计仿真 List00=[ 2013-10-31_12_44_31 ] for Li=1:1 List1=strcat(List0,List00(Li,:), Data ) In_p=[List1, ChanData ] 输入数据目录 Out_p=strcat([List1, DataDOA ]) 输出数据目录 NLen=10000 分段长度 M=16 r=15 c=299792458 List=List1(end-19:end-1) 选择目录 if(~exist(Out_p, )) mkdir(Out_p) end )

System will automatically delete the directory of debug and release, so please do not put files on these two directory.