system

matlab经典算法的程序：规划问题，插值与拟合，解方程，数据分析，绘图等。内含程序源码及教学课件(classical algorithm matlab processes: planning, interpolation and fitting, solution of equations, data analysis, mapping and so on. Containing procedures and source courseware)

介绍了关于电网孤网运行时的风险分析及其解决办法(isolated power system operation)

不错的GM_EM代码。用于聚类分析等方面。( GM_EM- fit a Gaussian mixture model to N points located in n-dimensional space. Note: This function requires the Statistical Toolbox and, if you wish to plot (for k = 2), the function error_ellipse Elementary usage: GM_EM(X,k)- fit a GMM to X, where X is N x n and k is the number of clusters. Algorithm follows steps outlined in Bishop (2009) Pattern Recognition and Machine Learning , Chapter 9. Additional inputs: bn_noise- allow for uniform background noise term ( T or F , default T ). If T , relevant classification uses the (k+1)th cluster reps- number of repetitions with different initial conditions (default = 10). Note: only the best fit (in a likelihood sense) is returned. max_iters- maximum iteration number for EM algorithm (default = 100) tol- tolerance value (default = 0.01) Outputs idx- classification/labelling of data in X mu- GM centres)

matlab code for wireless channel

R3LS的matlab程序，最小二乘法的递推算法(R3LS the matlab program, recursive least squares algorithm)

Calculating SNR and BER to System MIMO using SVD and receiver shaping.

说明：  EEG处理过程中用到的一些程序，如预处理，特征提取等(EEG processing some of the procedures used, such as preprocessing, feature extraction)

求两幅图像的同名点位置，确定图像某一点的视差值(Strives for the two images of the same name point location, to determine the parallax value of image point)

模式识别 二维高斯随机数 fisher线性分类器(Two-dimensional Gaussian random number pattern recognition fisher linear classifier)

模糊聚类和数据分析工具箱是一个集合的Matlab功能。它的提出​ ​ 是将一个给定的数据集为子集（称为集群），硬和模糊分区的意思是，这些之间的转换子集是脆的或渐进的。(The Fuzzy Clustering and Data Analysis Toolbox is a collection of Matlab functions. Its propose is to divide a given data set into subsets (called clusters), hard and fuzzy partitioning mean, that these transitions between the subsets are crisp or gradual.)