DataMining

文章论述了LST系统vblast检测算法的仿真比较。(This article discusses the LST system vblast Simulation Comparison of detection algorithm.)

30总线系统的潮流计算 finpt.m可以修改各支路、各总线的有功、无功、无功补偿、支路阻抗等数据，运行后，运行pflw.exe文件，生成pfoutput.m文件显示潮流计算结果(30-bus system can modify the flow calculation finpt.m slip, the bus active and reactive power, reactive power compensation, slip resistance and other data, run, run pflw.exe files, documents show power flow generated pfoutput.m Results)

matlab program for image registration

Antenna design matlab

说明：  用于数据建模时的样本集自动划分方法，基于X、Y矩阵的校正集及验证的划分(Automatic sample set partition method for data modeling, calibration set and validation partition based on X and Y matrices)

基 于 小 波 变 换 的 信 号 去 噪 研究 算 法 (Signal denoising based on wavelet transform algorithm research )

（7,4）汉明码译码性能程序，内含性能曲线图，包括未编码、硬判决、软判决、SPA迭代译码算法。((7,4) Hamming decoding performance program, containing the performance curves, including non coding, hard decision and soft decision, SPA iterative decoding algorithm.)

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 " )

说明：  这是一篇关于移动机器人路径规划文献。很好的(This is a literature on mobile robot path planning . Good)

in this simulation we implement LTE schemes frequency reuse and we analysed interference co-chennel