Tool-box-for-fuzzy

对基于freedom的微电网，进行了稳定性分析以及灵敏度分析(Microgrid based on freedom, stability analysis, and carried out sensitivity analysis)

KNN algorithm for matlab

说明：  一本非常经典的书，INTRODUCTION TO MATLAB FOR ENGINEERING STUDENTS，国外很多著名大学学习Matlab就用的这本教材(This book, INTRODUCTION TO MATLAB FOR ENGINEERING STUDENTS, is a very good book.)

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)

CurveLab is a collection of Matlab and C++ programs for the Fast Discrete Curvelet Transform in two and three dimensions. For the 2d curvelet transform, the software package includes two distinct implementations: the wrapping-based transform and the transform using unequally-spaced fast Fourier trans- form (USFFT). Both variants are based on the Curvelet transform as described in ‘New Tight Frames of Curvelets and Optimal Representations of Objects with Piecewise C2Sin- gularities’, Comm. Pure Appl. Math. 57 (2004) 219-266. The implementation is also discussed in detail in ‘Fast Discrete Curvelet Transforms’, Multiscale Model. Simul. 5 (2006), no. 3, 861-899. We advise users to become familiar with these references. The two implementations diff er by the choice of spatial grid used to translate curvelets at each scale and angle.(CurveLab is a collection of Matlab and C++ programs for the Fast Discrete Curvelet Transform in two and three dimensions. For the 2d curvelet transform, the software package includes two distinct implementations: the wrapping-based transform and the transform using unequally-spaced fast Fourier trans- form (USFFT). Both variants are based on the Curvelet transform as described in ' New Tight Frames of Curvelets and Optimal Representations of Objects with Piecewise C2Sin-gularities' , Comm. Pure Appl. Math. 57 (2004) 219-266. The implementation is also discussed in detail in ' Fast Discrete Curvelet Transforms' , Multiscale Model. Simul. 5 (2006), no. 3, 861-899. We advise users to become familiar with these references. The two implementations differ by the choice of spatial grid used to translate curvelets at each scale and angle.)

主要应用Matlab来实现图像的盲源分离而且是三个图像的处理问题采用的方法是FastICA算法(The main application of Matlab to achieve blind source separation method for processing an image problem and is three images FastICA algorithm is used)

matlab-应用程序举例子，实践应用，基础入门，语法基础，编程风格(matlab-application examples, practical applications, introductory, basic syntax, programming style)

affine optical flow method

DSP实验参考，对在校大学生实验参考有很大帮助，联系ＭＡＴＬＡＢ的应用．(DSP experimental reference, college students in the experiment that much help, contact the application of MATLAB.)

MATLAB小程序:关于MATLAB中字符串的操作的程序(small MATLAB : MATLAB string on the operating procedures)