Periodic-defect-layers-number

无线传感器网络协议仿真，可以看到每一轮所选出的簇头数目，基站收到的数据包总数，簇头收到的数据包总数，第一个节点死亡的时间，10 的节点死亡的时间等(Wireless sensor network protocol simulation, you can see every one of the selected number of cluster heads, the total number of packets received base station, cluster head total number of packets received, the first node of the time of death, 10 of the node dies time, etc.)

this is decision tree ID3 algorithm, this algorithm is one of decision tree algorithm like cart, chaid, c4.5, etc

This is code for antenna arrays

用matlab编写的关于图像的行分割和列分割算法，很实用(Prepared using matlab line on the image segmentation algorithm segmentation and out, very useful)

LCL型滤波并网逆变器双环控制参数设计与优化，对工程实践的指导作用明显(LCL type filter and inverter loop control parameter design and optimization, the guiding role of engineering practice significantly)

image zoom code mat lab interpolate

说明：  ofdm的时域仿真代码，matlab下正常。(ofdm s time domain simulation code with matlab,it s works well.)

matlab解决TPS问题，简单易懂，已运行测试(matlab solve TPS, easy to understand, and has been running test)

特徵粹取（feature extraction）是特徵選取（feature selection）的延伸，簡單地說，我們希望將資料群由高維度的空間中投影到低維度的空間，因此，我們必須找出一組基底向量（base）來進行線性座標轉換，使得轉換後的座標，能夠符合某一些特性。 我們可以將特徵粹取分成「包含類別資訊」和「不包含類別資訊」兩大類。包含類別資訊指的是我們已經知道哪些資料分別歸屬於哪一類；而不包含類別資訊的特徵粹取則適用於我們不知道手上的資料點分別該歸屬於哪一類，甚至連該劃分成幾類都不知道的情況。對於這兩大類資料，可以分述如下： 對於「不包含類別資訊」的資料，我們通常使用「主要分量分析」（principal component analysis），簡稱 PCA。 (Cuiqu features (feature extraction) is feature selection (feature selection) extension, simply put, we want to base the projection data the high-dimensional space to low-dimensional space, so we have to find a set of basis vectors ( base) to the linear coordinate conversion, so that after the coordinate conversion, can meet a number of features. We can feature Cuiqu into " category contains information" and " does not contain a category of information," two categories. Contains categories of information refers to what we already know what kind of information are attributed to Cuiqu features include categories of information are not applicable to information we do not know the points are in the hands of the home in which category, and even that is divided into several class do not know the situation. For these two categories of information, can be divided as follows: For information " does not include the categories of information" , we usually use the " )

功能如名称主要就是介绍蒙特卡罗方法的使用(Features such as the name of)