RLSwangsave

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 tool box 3.3 about image acquisition

sigma-delta DAC simulink model

采用matlab开发的用于车牌分割的开发程序,识别率高(The development of the use of matlab for the development of procedures for license plate segmentation, recognition rate is high)

Gaussian noise refers to its obey gaussian probability density function (i.e., normal distribution) of the noise. If a noise, its amplitude distribution obeys the gaussian distribution, and its power spectral density is uniformly distributed, has described it as a gaussian white noise. Were not associated with the second order moments of the gaussian white noise, a moment is constant, 所谓高斯噪声是指它的概率密度函数服从高斯分布（即正态分布）的一类噪声。如果一个噪声，它的幅度分布服从高斯分布，而它的功率谱密度又是均匀分布的，则称它为高斯白噪声。高斯白噪声的二阶矩不相关，一阶矩为常数，是指先后信号在时间上的相关性。高斯白噪声包括热噪声和散粒噪声。 (Gaussian noise refers to its obey gaussian probability density function (i.e., normal distribution) of the noise. If a noise, its amplitude distribution obeys the gaussian distribution, and its power spectral density is uniformly distributed, has described it as a gaussian white noise. Were not associated with the second order moments of the gaussian white noise, a moment is constant, refers to the correlation of signal in time. White gaussian noise including thermal noise and shot noise. )

QPSK调制以及误码率计算程序，含分析报告，对于通信专业的人士有一定帮助(QPSK modulation and the bit error rate calculation procedures, including analytical reports, for the communications professional to help people have a certain)

ZeroForcing MIMO BPSK BER

Simulation of DVB-T (Digital Video Broadcasting – Terrestrial)

efg for 2d timoshenko beam

matlab去除图片噪音，很好很强大，通过三种方式实现噪音的减小(matlab remove picture noise, a very powerful, three ways to achieve the noise decreases)