RLS

EMD的Toolbox及使用方法 经验模态分解（Empirical Mode Decomposition, 简称EMD）是由美国NASA的黄锷博士提出的一种信号分析方法.它依据数据自身的时间尺度特征来进行信号分解, 无须预先设定任何基函数。这一点与建立在先验性的谐波基函数和小波基函数上的傅里叶分解与小波分解方法具有本质性的差别。正是由于这样的特点, EMD 方法在理论上可以应用于任何类型的信号的分解, 因而在处理非平稳及非线性数据上, 具有非常明显的优势。所以, EMD方法一经提出就在不同的工程领域得到了迅速有效的应用, 例如用在海洋、大气、天体观测资料与地震记录分析、机械故障诊断、密频动力系统的阻尼识别以及大型土木工程结构的模态参数识别方面。本工具书主要分以下几个部分：导论、非稳态信号介绍、一维时频信号分解、二维时频信号分解、时频影像信息提取等。 (Time frequency toolbox for use with MATLAB The Time-Frequency Toolbox has been mainly developed under the auspices of the French CNRS (Centre National de la Recherche Scientifique). It results from a research effort conducted within its Groupements de Recherche ”Traitement du Signal et Images” (O. Macchi) and ”Information, Signal et Images” (J.-M. Chassery). Parts of the Toolbox have also been developed at Rice University, when one of the authors (PG) was visiting the Department of Electrical and Computer Engineering, supported by NSF. Supporting institutions are gratefully acknowledged, as well as M. Guglielmi, M. Najim, R. Settineri, R.G. Baraniuk, M. Chausse, D. Roche, E. Chassande-Mottin, O. Michel and P. Abry for their help at different phases of the development.)

说明：  基于内点法的解l2_l1和l2_TV优化问题的matlab代码(Interior point method based on the solution l2_l1 and optimization problems l2_TV code matlab)

A Simple Singular Value Decomposition matlab code to compress an image

超全的模式识别matlab程序，欢迎下载(Pattern recognition matlab)

说明：  用于故障诊断研究的vss程序代码，感兴趣的可以看看(The VSS program code for fault diagnosis research can be viewed as interesting)

detector de bordes de sobel

模糊控制方面的ＭＡＴＬＡＢ应用，ＰＤＦ格式(Fuzzy control in MATLAB applications, PDF format)

说明：  这是一篇关于基于图像序列的人体步态识别方法研究的文章(This is a sequence of image-based recognition of human gait article)

描述电偶极子和磁偶极子的势场和场强的工具，希望以此给出抽象的偶极子场以形象的描述。(Dipole description of the electric dipole and magnetic dipole potential field and a field strength of the tool, hoping to give the abstract dipole field to the image description.)

利用傅里叶变换的图像篡改盲检测，Matlab实现。(The Fourier transform of the image tamper blind detection, Matlab implementation.)