LSDE

说明：  MATLAB遗传工具箱及应用，内附程序说明(MATLAB and application of genetic toolbox, containing a description of the procedures)

MATLAB连续潮流程序（9节点） （百度百科）连续潮流需要注意的问题： 1 连续潮流中两个重要的问题是：连续参数的选择和步长的确定。参数选取不正确或是步长不合理都会导致潮流不收敛。 2 连续潮流所求出的负荷裕度是针对特定网络状态和特定的负荷增长方式而言的。当增长方式改变或是网络结构或是参数发生改变后，连续潮流求出的负荷裕度是会改变的。 3 至今为止，出现了基于负荷增长的连续潮流、基于网络断线故障的连续潮流等。 (MATLAB continuous flow program (9 nodes) (Baidu Encyclopedia) continuous flow problems that need attention: A continuous trend in two important questions are: selection and step continuous parameter determining long. Parameter selection is incorrect or unreasonable step will not lead to the convergence trend. 2 continuous load margin is determined by the trend for a particular network status and specific in terms of load growth. When changing the growth mode or network structure or parameters are changed, the load margin is calculated continuous trend will change. 3 So far, there has been a continuous trend based on load growth, based on network fault and continuous flow and so on.)

几组自己编造的典型声速剖面下的传播损失对比图。自动化是我们的集中追求。(several manmade sound speed profile and its horizontal transmission loss.)

进行快速拉格朗日插值，方便对大量数据逼近函数(jgkljdsjpotweogj lsj jgfdsopiriew[iotrwejjgl dfs jkgoer[w)

CV1 - it is used for learnig work in matlab(CV1- it is used for learnig work in matlab)

在二维空间里有两个点A=(X1，Y1)和B=(X2，Y2)，如果X1>X2并且Y1>Y2 ，我们认为A优于B，A是这个集合的最大极值点，在给定的二维空间里的N个点的集合S中，找出最大极值点。(In two-dimensional space, there are two points = A = (X1, Y1) and B (X2, Y2), if the X1 and Y1 > X2 > Y2, we think that A is superior to B, A is the biggest extreme value point of the set, in A given set of N points in the two-dimensional space S, find out the most extreme value point.)

基于背景差分的视频背景提取，及车辆检测，基于matlab(Based on the background of the video background differential extraction, and vehicle detection)

说明：  模糊PIDsimulink其仿真效果非常好快速性和稳态特性良好(Fuzzy PIDsimulink the simulation results is very good speed and good steady state characteristics)

matlab code for wiener filter noise removal

说明：  梯度下降算法代码及详细解释，使用matlab编程(Gradient descent algorithm code and detailed explanation)