LDPC

机器学习算法adaboost的一个新版本，相比以前的0.3版，修正了几个BUG。(A new version of adaboost in machine learning algorithms.Compared of the previous version, some bugs are modified.)

本程序用于基因数据的分类，我自己写了一个基于欧氏距离的费舍尔判据，选取有代表性的基因，最后用NMF将矩阵分解，对得到的矩阵进行分类，分类用的是自带的svm算法(It is used for classfication, I wrote a fisher criterion based on Euclidean distance, selecting representative genes,after NMF,classification with the SVM algorithm is shipped )

基于Matlab的X-CT图像重建程序源代码(Matlab-based X-CT image reconstruction program source code)

说明：  Kernel pca基于核方法的特征提取算法(feature selection)

- K means algorithm is performed with different initial centroids in order to get the best clustering. - The total cost is calculated by summing the distance of each point to its cluster centre and then summing over all the clusters.Based on the minimum overall cost achieved during each iteration of iterKMeans the pixel assignment to their respective clusters are made and final compressed image is obtained. This algorithm will run slower as the number of clusters , size of the image and number of iterations increase.

MATLAB and C Programming for Trefftz Finite Element Methods

matlab code for Hilbert-Huang Transform

Wind turbine System Identification Toolbox Final report by Sean Semper and Sumit Tripathi

该压缩包中包含的程序均在MATLAB下开发，从功能上分为两类。第一类名字中包含SVC的程序，主要用来对两类数据进行分类，并可以生成分类结果图。第二类名字中包含SVR的程序，主要用来对高维数据集进行预测，并可以生成预测结果图。该类程序可以很好地解决SVM中的分类及预测问题。(The archive contains the MATLAB program are under development, from the functions are divided into two categories. The first category name contains the SVC process, mainly two types of data used to classify and to generate classification result. The second category contains the name of the SVR procedures, mainly used for high-dimensional data sets to predict and can generate predictions map. The application can be a good solution in SVM classification and forecasting problems.)

This function could deblurr an image with median filter