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ART1自适应谐振网，已经通过测试，分类性能良好并且准确，此程序已经完成了运行，希望大家好好利用(ART1 adaptive resonance network, has passed the test, the classification performance is good and accurate, this program has completed running, I hope you make good use of)

文件是 天线与电波传播 第3版 2017 的课件资源。 该书围绕天线与电波传播两大内容展开。全书共 14 章。前9章为天线部分，各章内容分别为：天线基础知识、简单线天线、行波天线、非频变天线、缝隙天线与微带天线、手机天线、测向天线、面天线、新型天线；后5章为电波传播部分，各章内容分别为：电波传播的基础知识、地面波传播、天波传播、视距传播、地面移动通信中接收场强的预测。(The document is the courseware resource of the third edition of antenna and radio wave propagation 2017. The book launches around two main contents: antenna and radio wave propagation. The book consists of 14 chapters. The first nine chapters are the antenna section, which includes the basic knowledge of antenna, simple wire antenna, traveling wave antenna, non-frequency-varying antenna, slot antenna and microstrip antenna, mobile phone antenna, direction finding antenna, surface antenna and new type antenna, and the last five chapters are the radio wave propagation section, which includes the basic knowledge of radio wave propagation, the ground. Wave propagation, sky wave propagation, line of sight propagation, and prediction of received field strength in ground mobile communication.)

改进的非负矩阵分解算法源程序 比较有用 直接可以使用(Negative matrix decomposition algorithm is more useful source program can be used directly)

　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. )

实现了三层介质的地震记录，雷克子波，卷积，采用均方根速度计算。(Implementation of the earthquake record in three layer medium, Ricker wavelet, convolution, using the root mean square velocity calculation.)

EARLANG B MATLAB CODE IN TELECOM

Apriori Algorithm in matlab

enhancing semi-supervised clustering:a feature projection prespective算法实现(the implementation of the alogrithm described in the paper--- enhancing semi-supervised clustering:a feature projection prespective)

说明：  模式分类的配套的matlab工具箱，所以的函数，(Pattern classification of matching matlab toolbox, so the function)

matlab图像配准例程，包含了.m文件和图片，值得下载研究(matlab image registration routines, including the. m files and pictures, it is worth downloading study)