WSN-in-matlab

equalizers LMS and RLS alghoritm

本子程序包含5个子程序，其主要功能是： （1） 子程序CXCY（E，L，IE，JE）的功能 用于计算各单元的杆件的长度及在结构坐标系中的倾角α的三角函数cosα、sinα。 （2） 子程序ELEA（E，L，IE，JE，A）的功能 用于计算结构坐标系下各单元刚度矩阵中的刚度系数。 （3） 子程序TOTAL（E，LNODE，KE，KZ）的功能 用于形成半带宽的结构原始刚度矩阵。 （4） 子程序FIFX（NP，FXI，FXJ，FYI，FYJ，MMI，MMJ，WL，IE，JE）的功能 它是用来计算各单元的等效节点荷载。 （5） 子程序STIFF（E，KE）的功能 (Book program consists of five sub-programs, and its main functions are: (1) subroutine CXCY (E, L, IE, JE) function The unit used to calculate the length of the bar and in the structure coordinates of the angle α of the trigonometric functions cosα, sinα. (2) subroutine ELEA (E, L, IE, JE, A) function Coordinate system used to calculate the structure of the element stiffness matrix stiffness. (3) subroutine TOTAL (E, LNODE, KE, KZ) function Used to form the structure of semi-bandwidth of the original stiffness matrix. (4) subroutine FIFX (NP, FXI, FXJ, FYI, FYJ, MMI, MMJ, WL, IE, JE) function It is used to calculate the equivalent nodal load of each unit. (5) subroutine STIFF (E, KE) function )

这个程序的主要功能是对彩色图像进行叠加计算。(Superposition of color images)

说明：  对机动目标进行跟踪,对初学者非常有用,可准确的跟踪目标(Tracking of mobile targets, very useful for beginners)

牛顿-拉夫逊潮流计算算例，包括自动执行模块的编写(Newton- Raphson power flow calculation examples, including the preparation of self-executing module)

Some examples about who use trees and binary trees in Matlab

说明：  两个关于数值分析的matlab代码，十分有用(2 matlab code on Numerical Analysis, very useful)

做过模糊PID的朋友很多遇到过这种问题，就是仿真启动不起来，停留在e-7等地方或者仿真很慢，自次上次有个朋友说改变步长能解决这个问题，最后的曲线能达到满足要求的时候，我让他找个例子他就没有后文，以前我做了很多这样的模糊PID，但靠改变步长并没有解决问题，仿真曲线直接发散出去了，我自己这两天也总在思考这个问题，通过不断的调试总结，明白了不少，给遇到这个问题的朋友讲解一下解决办法吧，以一个例子详解：(Done a lot of friends of the fuzzy PID encountered this problem, simulation start up, stay in the e-7 and other local or simulation is very slow, have a friend who said to change the step size to solve this problem since the times the last, the finalcurve to achieve to meet the requirements when I asked him to find examples of his later, I have done a lot of fuzzy PID, but by changing the step does not solve the problem, the simulation curve directly divergence out, Itwo days always thinking about this problem, summarized by the debug and understand a lot of friends to experience this problem to explain the solution, an example Detailed:)

I dont know what it is

预测分类，针对目标样本进行训练比对，预测有可能发生的情况(Predictive classification, target training samples compared to predicted situation may occur)