MATLABcongjingtongdaorumen

　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. )

这是一本英文版的书籍，主要讲述模型预测控制，对初学者的学习很有帮助。(This is a book of English version about model predictive control, that is very helpful for beginners learning.)

说明：  seir模型模拟传染病 人在康复以后产生了抗体就不会再得病。不同于SIS模型，我们在模型中引入康复者(The Recovered)，用 [公式] 表示，并满足总人数 [公式] 。这个时候就是SIR模型。一旦变为康复者，就不会再传染，即在概率传递过程中，一旦变为康复者，就没有概率再次转移为感染者或者易感者。我们假设感染者变为康复者的概率为我们来看下SIR模型的微分方程(SEIR model simulating infectious diseases)

qpsk matlab simulink receiver and transmitter. Quadrature Phase shift keying

在MATLAB中象元的自相关性处理图像的纹理特征提取(In MATLAB, the autocorrelation of pixel image texture feature extraction processing)

Code Source DFIG Model

step response in RC filter

costas锁相环matlab仿真代码，对costas环的研究和硬件实现具有指导意义。(Costas Phase-Loop MATLAB Code.)

Channel simulation for Adaptive coding modulation, BER analyzer any didigital mod with any channel code

script shannon limit how to plot it ?