G1

matlab code for digital signal processing

说明：  对原始图像添加椒盐噪声，并用邻域平均和中值滤波法进行滤波，并可以进行对比。(Add salt and pepper noise to the original image, and with neighborhood average and median filtering method for filtering, and can be compared.)

This matlab code calculates the V curves of Synchronous machine

介绍了一种代数过完备ICA算法，采用这种方法对混合语言信号进行分解。(Algebraic independent component analysis an approach for separation of overcomplete speech mixtures)

MATLAB Tutorial This tutorial is available as a supplement to the textbook Fundamentals of Signals and Systems Using Matlab by Edward Kamen and Bonnie Heck, published by Prentice Hall. The tutorial covers basic MATLAB commands that are used in introductory signals and systems analysis. It is meant to serve as a quick way to learn MATLAB and a quick reference to the commands that are used in this textbook. For more detailed information, the reader should consult the official MATLAB documentation. An easy way to learn MATLAB is to sit down at a computer and follow along with the examples given in this tutorial and the examples given in the textbook.

matlab的图形标注，利于matlab的图形学习(Matlab graphical label, beneficial to the matlab graphical learning)

（注意，之前上传的Fea_Gabor_brodatz有误）该代码为用gabor变换算法提取图像的纹理特征，用matlab编写，可应用于基于纹理的图像检索系统。其中还包含一篇gabor变换相关的文献(The code for the transformation algorithm using gabor texture features extracted using matlab preparation, can be applied to image retrieval system based on texture)

此程序实现图象增强的功能，采用直方图均衡化的方法来实现图像增强。(This procedure realize the function of image enhancement using histogram equalization method to achieve image enhancement.)

说明：  自动提取曲线的峰值的matlab程序，比较有用 (Automatic extraction of the peak curve matlab procedures, more useful)

粗糙集理论是一种基于对现实世界进行不确定描述的理论,属性约简是粗糙集理论的核心理论之一。对粗糙集理论进行阐述,并给出基于启发式的知识约简算法,最后结合MATLAB程序实例说明了该算法的可行性与有效性。(Rough set theory is based on the uncertainty of the real world is described in theory, attribute reduction is the core theory of rough set theory one. Elaborate on the rough set theory, and gives the knowledge-based heuristic reduction algorithm, and finally with MATLAB program example illustrates the feasibility and effectiveness of the algorithm.)