ICA（主分量分析）算法和程序

实现mfsk的仿真 最近做的课程设计的内容 很难啊 郁闷(The realization of the simulation MFSK recent content of the curriculum design is difficult ah depressing)

这是一个弹片机控制的数字调频系统,能发射不同的频段.(This is a shrapnel control the number of FM system can be launched in different bands.)

一个有关排队论的源码，是用MATLAB编写的，希望与大家共享，共同进步。(one of the queuing theory of the source code is the use of MATLAB, I hope to share with you, and common progress.)

自己编写的BPM文件，用于时滞系统的辨识，辨识效果还不错(This is a M file of BPNN I have written for the identification of delay systems identification.The simulation result shows that the method is valid.)

这是一个用matlab语言编写的gfdm调制技术5G软件包。与正交频分复用器相比，GFDM调制是下一代低带外频率复用器的一种有条件的波形。主要区别在于滤波器的设计：ofdm采用矩形波形、gfdm-rc或rrc波形。

DOUBLE OPTIMIZATION DESCRIPCTION

Matlab GUI 编程 编制GUI界面(Matlab GUI)

元胞自动机matlab环境下对交通流问题的仿真_数学建模

交直流潮流计算方法，交替算法，带界面船设计。包括PQ快速潮流计算、牛顿拉夫逊潮流计算详细程序，以及直流潮流计算程序，基于11节点算例进行求解，循环4次即可收敛。

说明：  提供一个人工免疫算法源程序，其算法过程包括： 1.设置各参数 2.随机产生初始群体——pop=initpop(popsize,chromlength) 3.故障类型编码，每一行为一种！code(1,:)，正常；code(2,:)，50％；code(3,:)，150％。实际故障测得数据编码，这里Unnoralcode,188％ 4.开始迭代（M次）： 1）计算目标函数值：欧氏距离[objvalue]=calobjvalue(pop,i) 2）计算群体中每个个体的适应度fitvalue=calfitvalue(objvalue) 3）选择newpop=selection(pop,fitvalue) objvalue=calobjvalue(newpop,i) ％ 交叉newpop=crossover(newpop,pc,k) objvalue=calobjvalue(newpop,i) ％ 变异newpop=mutation(newpop,pm) objvalue=calobjvalue(newpop,i) ％ 5.求出群体中适应值最大的个体及其适应值 6.迭代停止判断。(provide a source of artificial immune algorithm, the algorithm process include : 1. Two of the parameters set. Initial randomly generated groups-- pop = initpop (popsize, chromlength) 3. Fault type coding, each act a! Code (1 :), normal; Code (2, :), 50%; Code (3 :), 150%. Fault actual measured data coding, here Unnoralcode, 188% 4. Beginning iteration (M) : 1) the objective function value : Euclidean distance [objvalue] = calobjvalue (pop, i) 2) calculation of each individual groups of fitness calfitvalue fitvalue = ( objvalue) 3) = newpop choice selection (pop, fitvalue) objvalue = calobjvalue (newpop, i) =% newpop cross-crossover (newpop, pc, k) = calobjvalue objvalue (newpop, i) =% variation newpop mutation (newpop, pm ) objvalue = calobjvalue (newpop, i)% 5. groups sought to adapt th)