工作空间

long line model for 3phase system

给音乐添加噪声再通过低通滤波器滤掉噪声，性能改善过后能明显看到效果。(Add noise to the music and through a low pass filter filters noise, performance improvement can be evident after the effects.)

粒子群算法的matlab实现，由主函数swarm和6个辅助函数：fitness（适应度函数）、congstrict(约束函数)、getNeighborIndex、getNeighborIndexVector、getNeighborIndexWithBestFitness、randint组成。其中fitness由使用者自行编写。(SO algorithm matlab realize, from the main function of swarm and six auxiliary functions: fitness (fitness function Number), congstrict (constraint function), getNeighborIndex, getNeighborIndexVector, getNeighborIndexWithBestFitness, randint composition. Compiled by the user which fitnessTo write.)

说明：  Zeby aktywowac to konto zeby pobierac

新颖的K均值聚类算法，以SAM作为两个向量的距离度量，取代原始的向量间的距离(Multi-spectral K-mean clustering with SAM as spectral similarty)

本程序运用PAST算法估计信号的子空间，MUSIC算法估计波达方向，实现了对信号的入射角度的实时跟踪。(The procedures used PAST algorithm estimates the signal subspace, the MUSIC algorithm to estimate DOA, real-time tracking of the incident angle of the signal.)

马氏距离是一种有效地计算两个样本集之间相似度的算法（数据之间协方差距离），与欧式距离相比，它考虑了各种特征之间的联系。本实验旨在通过给出的样本数据，设计一个最小马氏距离分类器并对测试点进行分类，然后将其与最小欧式距离分类器进行比较，实验得出当协方差矩阵为单位阵时，最小马氏距离分类器将与最小欧式距离分类器等价。本实验还根据实验样本设计贝叶斯分类器进行分类，并与最小马氏距离分类器进行比较，比较两种分类器的分类效果。(Markov distance is an effective method to compute the similarity between the two samples (data covariance distance), compared with the Euclidean distance, which takes into account the link between different characteristics. This experiment aimed at through the given sample data, design a minimum Mahalanobis distance classifier and classify the test points, and then compare it with the minimum Euclidean distance classifier. Experimental results showed that when the covariance matrix is a unit matrix, minimum Mahalanobis distance classifier with the minimum Euclidean distance classifier equivalent.In this experiment, according to the experimental design of the Bias classifier, and compared with the minimum distance classifier, the classification results of the two classifiers are compared.)

用MATLAB进行图像的处理与绘制，可以绘制平面图以及动态图。(MATLAB image processing and rendering)

This function computes the RMS feature of the signals in x,which are stored in columns. The signals in x are divided into multiple windows of size winsize and the windows are space wininc apart. Inputs x: columns of signals winsize: window size (length of x) wininc: spacing of the windows (winsize) datawin: window for data (e.g. Hamming, default rectangular) must have dimensions of (winsize,1) dispstatus:zero for no waitbar (default) Outputs feat: RMS value in a 2 dimensional matrix dim1 window dim2 feature (col i is the features for the signal in column i of x)

模式识别 关于GMM+EM+BIC，请运行附件的程序。主程序：VASceneAnalysisFH7_ICMEFull_2009.m (Pattern Recognition on the GMM+ EM+ BIC, please run the attached file. Main program: VASceneAnalysisFH7_ICMEFull_2009.m)