three_level_diode_cl_pwm

Image Texture Classification Using Combined Grey Level Co-Occurrence Probabilities and Support Vector Machines Texture refers to properties that represent the surface or structure of an object and is defined as something consisting of mutually related elements. The main focus in this study is to do texture segmentation and classification for texture digital images. Grey level co-occurrence probabilities (GLCP) method is being used to extract features from texture image. Gaussian support vector machines (GSVM) have been proposed to do classification on the extracted features. A popular Brodatz texture album had been chosen to test out the result. In this study, a combined GLCP-GSVM shows an improvement over GLCP in terms of classification accuracy.

content based image retri (CBIR).

说明：  //实现K-means聚类算法 //包括main.m、distance.m、randCent.m、kMeans.m等四个matlab文件 //以及测试数据集(//Implementation of K-means clustering algorithm // including four matlab files: main.m, distance.m, randCent.m, kMeans.m, etc. //And test data sets)

rectifier design in matlab

说明：  DBSCAN聚类算法，初步实现，功能比较简单，数据集比较简单(DBSCAN clustering algorithm, preliminary implementation, relatively simple function, relatively simple data set)

本程序是基于LeventCode平台作的。包括以下方法：BivaShrink方法、模型1、模型2、模型3（TrivaShrink方法）、BayesShrink方法、LAWMLShrink方法的DWT实现和DT_CWT实现(This procedure is based on the platform for LeventCode. Including the following methods: BivaShrink method, model 1, model 2, model 3 (TrivaShrink method), BayesShrink methods, LAWMLShrink methods DWT realize and realize DT_CWT)

说明：  蚁群算法在tsp（旅行商问题)的matlab程序。可以运行。(Ant colony algorithm in tsp (TSP) of the matlab program. Can run.)

用MATLAB实现图像的显示、转换叠加等重要操作。。。。。。。(Using MATLAB to achieve image display, conversion and other important operations overlay. . . . . . .)

mimo-ofdm系统检测算法的matlab仿真与研究(study of mimo-ofdm)

centralize algorithm in matlab