emd

SIMULATION ON MATLAB AND VISUAL SERVOING

Bifurcations of Nonlinear Systems

ESPRIT算法的经典功率谱估计程序，已运算过，下载即可使用(ESPRIT algorithm is the classic power spectrum estimation procedures have been operational before, you can use to download)

四桨碟形飞行器飞行控制系统研究相关资料和相关设计过程基础(Four paddle system of the flight control data related to the flying saucer)

matlab code for data encryption and decryption using rsa algoritham

说明：  北京航空航天大学欧老师高等光学仿真书籍源代码，MATLAB语言编写。(Beijing University of Aeronautics and Astronautics Ou teacher advanced optical simulation book source code, MATLAB language.)

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.)

matlab编成教程，在短时间内进行编程学习(matlab compiled the tutorial, in a short time to learn programming)

IT REFERS CODE FOR USING STM

全息谱故障诊断之三维全息谱，学习全息谱必须的matlab代码(matlab code for fault diagonis of holo3D)