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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.

2d fEM for different boundary condtions(2d fem example programmed by matlab for different boundary condtions)

this is matlab based eee project

高斯混合模型的EM搭建过程以及详细说明，利于初学者的学习！(EM Gaussian mixture model building process as well as detailed instructions, which will help beginners to learn!)

1D heat transefer function [A,b,r] = fullyDev1dr(m,rout,mu,dpdx) fullyDev1dr CVFD coefficients for 1D fully developed flow in a pipe Synopsis: [A,b] = fullyDev1dr [A,b] = fullyDev1dr(m) [A,b] = fullyDev1dr(m,rout) [A,b] = fullyDev1dr(m,rout,mu) [A,b] = fullyDev1dr(m,rout,mu,dpdx)

基于matlab写的一个道路障碍物识别，可检测道路障碍物，利用数字图像处理相关知识，如平滑，边缘检测等(Based on MATLAB write a road obstacle identification, can detect road obstacles, the use of digital image processing related knowledge, such as smooth, edge detection, etc.)

LPF 3KHZ implementation in matlab

power factor correction in single phase.pls check it

matlab求解热传导方程的几个例子，有注释，适合初学者(matlab solving a few examples of the heat conduction equation, with notes, suitable for beginners)

一个智能天线处理程序源码，能有效提高算法性能，很实用。(A smart antenna processing source code, can effectively improve the algorithm performance, very practical.)