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Matlab图形背景代码 包括导入数据、进度条、当前时间、主界面窗口设置等等。(Matlab codes of graphic background)

matlab界面设计的一些资料笔记,可以做为初学者参考用(matlab interface design some of the information notes, can be used as reference for beginners)

主要讲述了matlab相关的数学问题的解答，很全面。(Focuses on matlab related mathematical questions, very comprehensive.)

An Optimum Feature Extraction Method for Texture

implementation of a watershed segmentation

说明：  SOFM网络及其在MATLAB中的实现.本文详细叙述了自组织映射网络的原理、算法及其在 Matlab中实现的工具箱,并结合实例给出了SOFM在Matlab上的实现方法,对于SOFM的现存问题和未来研究趋势作了分析和展望。 (This paper described the principle,the algorithm andthe toolbox in Matlab of Self-organizing Feature Map Neural Network detailedly,including a paradigm of SOFM implemented in Matlab,analyzed the problem of SOFM at present and prospected its researching trend in the future. )

说明：  matlab中simulink三相整流电路的仿真(sanxiangzhengliudianlufangzhen)

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.

已知系统的差分方程，用matlab实现输出信号的自相关计算并画出图形。(Differential equations known system, the output signal using matlab autocorrelation calculated and drawn graphics.)

本文概述了使用MATLAB图像去噪的基本原理。以小波分析法为重点，对常用的几种去噪方法进行了分析比较。最后结合理论分析和实验结果，讨论了一个完整去噪算法中影响去噪性能的各种因素。(This paper outlines the basic principles of image denoising using MATLAB. Wavelet analysis, focusing on several commonly used de-noising methods were analyzed and compared. Finally, the theoretical analysis and experimental results, discusses the various factors that affect a complete de-noising algorithm denoising performance.)