yuece

主要包含数学建模中的一个逢山开路问题的求解，还有carlight等问题的实现(Every mountain open)

本程序用来模拟当前研究很热门的自旋阀满足的LLG方程，并作图研究其性态。具体数据公式文件包里有详细说明(the procedures used to simulate the current research is very popular spin valves to meet the LLG equation, and mapping study its behavior. Specific data document bundle formula are described in detail)

根据查找边缘发二值化图像，确定图形质心的位置。(According Find Edges hair binary image, to determine the location of the centroid graphics.)

function [ H ,S ] = HS( f ) UNTITLED2 Summary of this function goes here Detailed explanation goes here syms x1 x2 f1=diff(f,x1) f2=diff(f,x2) S= [f1 f2] H = [diff(f1,x1) diff(f1,x2) diff(f2,x1) diff(f2,x2)] end s0=subs(S,findsym(S),[0 0])(function [H, S] = HS (f) UNTITLED2 Summary of this function goes here Detailed explanation goes here syms x1 x2 f1 = diff (f, x1) f2 = diff (f, x2) S = [f1 f2] H = [diff (f1, x1) diff (f1, x2) diff (f2, x1) diff (f2, x2)] end s0 = subs (S, findsym (S), [0 0 ]))

说明：  matlab MCL（蒙特卡罗）仿真，移动节点(matlab MCL (Monte Carlo) simulation, mobile nodes)

LTE-A系统的最新进展，对超前研究LTE-A系统的非常有帮助(LTE-A system of the latest, on the advance of LTE-A system very helpful)

this package provides the segmentation using k means algorithm

Acoustic Echo Cancellation (AEC) This emonstration illustrates the application of adaptive filters to acoustic echo cancellation (AEC). in matlab and pdf

说明：  Genetic Algorithm matlab code for reconstruction gene regulatory networks

说明：  针对一般的粒子群优化(PSO)学习算法中存在的容易陷入局部最优和搜索精度不高的缺点,对改进型PSO算法进行研究。由于惯性权重系数ω对算法是否会陷入局部最优起到关键的作用,因此,通过改变惯性权重ω的选择,对惯性权重系数采取线性减小的方法,引入改进型的PSO算法。采用改进的PSO算法对PID控制器进行参数优化并把得到的最优参数应用于控制系统中进行仿真。仿真实验结果表明:改进型PSO算法不会陷入局部最优,能得到全局最优的PID控制器的参数,并使得控制系统的性能指标达到最优,控制系统具有较好的鲁棒性。(Aiming at the shortcomings of general PSO learning algorithm, which is easy to fall into local optimum and low search precision, the improved PSO algorithm is studied)