plotting-with-matlab

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.)

pattern of a thin wire of lengh L

说明：  模糊聚类程序，完成！matlab7.0调试通过，内含测试程序及数据！欢迎交流！(Fuzzy clustering procedure, done! matlab7.0 through debugging, testing procedures and data contained! Welcome to exchange!)

CODE FOR MATLAB FOR DOWLODING

通过输入区间端点a和b以及精度，初始等分数和最大外推层数来近似f(x)在a到b上的积分！(By entering a and b as well as the interval endpoint accuracy, the initial fraction and the like to approximate the maximum number of layers extrapolation f (x) at the points a to the b!)

This is book aboud Mobile Broadband Including WiMAX and LTE in English version

立体匹配算法中比较经典的块匹配方法。其中包含了比较有名的ＳＡＤＳＳＤ算法－－－即左右视图中逐一比对像素数值，从而求得最小ｄｉｓｐａｒｉｔｙ　继而得到ｄｅｐｔｈ。(ＳＳＤＳＡＤ　methods present in this file,which are improtant in the stereo matching-----we obtain the disparity with the difference of the intensity between the left and right images )

用MATLAB实现的BPSK调制解调源程序(In MATLAB source code for BPSK modulation and demodulation)

matlab code a tester

Speech Synthesis is more important to analyze digital signal