BEM

天线选择的相关程序，初学者的好帮手！很有用的哦！(Antenna selection procedures, beginners a good helper!)

matlab编的干涉图生成程序，非常适合初学者使用。(interferogram matlab code generation process, very suitable for beginners to use.)

AUTOMATIC TEMPRATURE Report

控制DOS下ISA总线上的电信号输出，适用于工控上实现通道的开合的一个小程序。(control DOS ISA bus signals on the output, IPC applicable to achieve the opening of a channel of a small procedure.)

= lorentzfit （× ） lorentzfit 符合输入（× ）与罗伦兹功能的形式 “ （× ）= 1 / （（- 2）^ 2 + 3号） 输入 ：因变量值[ 是] （× ） × ：独立变量的值 输出功率 一：名单[ 1 2 3 ] 罗伦兹参数 示例 × = - 16:0.1:35 = 19.4 / （（- 7）^ 2 + 15.8）+ randn （大小（× ）/ 10 ） = lorentzfit （× ） 杰瑞德·威尔斯 11 / 15 / 11 杰瑞德威尔斯[ 点] [在] [ 点] 教育公爵(a = lorentzfit(y,x) LORENTZFIT fits the input Y(X) with a Lorentzian function of the form Y (X) = A1./((X- A2).^2+ A3) INPUTS Y : Dependent variable values [Y(X)] X : Independent variable values OUTPUT A : List of Lorentzian parameters [A1 A2 A3] EXAMPLE x =-16:0.1:35 y = 19.4./((x- 7).^2+ 15.8)+ randn(size(x))./10 a = lorentzfit(y,x) Jered R Wells 11/15/11 jered [dot] wells [at] duke [dot] edu)

　k-means 算法接受参数 k ；然后将事先输入的n个数据对象划分为 k个聚类以便使得所获得的聚类满足：同一聚类中的对象相似度较高；而不同聚类中的对象相似度较小。聚类相似度是利用各聚类中对象的均值所获得一个“中心对象”（引力中心）来进行计算的。(K-means algorithm accept parameter k Then will the n of prior input data object is divided into k clustering to make won clustering meet: the same clustering the object in the similarity is higher And different clustering the object in the smaller similarity. Clustering similarity is using the cluster of the object in the mean gained a "center object" (the center of gravity) to calculate. )

根据硕士论文编写，在DV-hop基础上对平均每跳距离做了修正，效果比原始算法好的多。(According to the master s thesis writing, on the basis of DV- hop made a correction, the average jump distance effect is much better than the original algorithm. )

Bat-inspired algorithm is a metaheuristic optimization algorithm developed by Xin-She Yang in 2010. this is the demo of bat algorithm

桥梁结构模态参数识别,emd,hht,wt(parameter identification using emd method)

针对常规PID控制不具有自适应能力，对于时变、非线性系统控制效果不佳。提出了将模糊技术与PID控制相结合的控制方式，设计模糊控制器。(Conventional PID control with adaptive capabilities, time-varying, nonlinear system control ineffective. Fuzzy and PID control combined control mode fuzzy controller design.)