svm_multiclass.tar

说明：  Matlab表情识别，特征脸[1 ]作为面部表情分类的方法。首先，利用训练图像创建低维人脸空间（pca）。这是通过训练图像集主成分分析（PCA）及图片主成分分析（即具有较大特征值的特征向量）获得的。 结果，所有的测试图像以所选择的主成分表示，计算投影图像与所有投影列车图像的欧几里得距离，选择最小值以找出与试验图像最相似的训练图像。(The feature face [1] is used as a facial expression classification method. Firstly, a low-dimensional face space (pca) is created using training images. This is obtained by training principal component analysis (PCA) of image set and principal component analysis of image (i.e. eigenvectors with larger eigenvalues). As a result, all the test images are represented by the selected principal components, the Euclidean distance between the projected image and all the projected train images is calculated, and the minimum value is selected to find the training image most similar to the test image.)

这好似一个很实用的一堆软件，大家，拿去用功相互借鉴。-This is a very practical like a pile of software, U.S., instead learn from each other hard.

韩文版街头篮球服务端! 很好的休闲游戏-Korean version of the street basketball server! Good casual games

本代码为《MIDAS GTS岩土工程数值分析与方法》一书源代码，版权归作者所有，仅在此分享给大家(This code is "MIDAS GTS numerical analysis and method of geotechnical engineering" a book source code, copyright belongs to the author, only here to share with you)

说明：  eemd example for python

使用labview编写的灰色诊断程序，诊断设备故障的类型，程序已经调试通过。(Prepared using the LabVIEW Gray diagnostic procedures, diagnosis, type of equipment failure, procedures have been debug through.)

说明：  K近邻算法。(k-Nearest Neighbor，KNN)，是一个理论上比较成熟的方法，也是最简单的机器学习算法之一。该方法的思路是：在特征空间中，如果一个样本附近的k个最近(即特征空间中最邻近)样本的大多数属于某一个类别，则该样本也属于这个类别。(K-nearest neighbor algorithm. K-nearest neighbor (KNN) is a mature method in theory and one of the simplest machine learning algorithms. The idea of this method is: in the feature space, if most of the k nearest (i.e. the nearest) samples near a sample belong to a certain category, then the sample also belongs to this category.)

说明：  包含三个M文件，程序为本人自行编译完成，Demo中设有仿真信号验证，并经本人实际齿轮箱信号（轴承外圈故障）测试，经包络分析结果显示能够有效定位轴承外圈故障频率。 亲测可用。(It contains three M files. The program is compiled and completed by myself. Demo has simulation signal validation. It has been tested by my actual gear box signal (bearing outer ring fault). The envelope analysis results show that it can effectively locate the bearing outer ring fault frequency. The pro-test is available.)

H5获取定位信息，需要HTTPS支持，有没有更方便点的啊(H5 positioning information, need HTTPS support, have a more convenient point)

说明：  设计一八木天线，振子数目为4，长度分别为：反射器长度0.39，主馈振子长度0.356，引向器长度均为0.3；反射器和主馈振子的距离0.265，主馈振子和第一引向器的距离0.2575，第一引向器和第二引向器的距离0.225。天线工作频率为400MHz，各振子分段数为9。 利用矩量法模拟该天线的电流分布，并绘制方向图。(A eight wood antenna is designed. The number of vibrators is 4 and the length is 0.39 for the reflector, 0.356 for the main feeder and 0.3 for the director. The distance between the reflector and the main feeder is 0.265, 0.2575 for the main feeder and the first director. The distance between the first director and the second director is 0.225. The working frequency of the antenna is 400MHz and the number of segments of each vibrator is 9.)