25880049channel-estimation-MIMO-OFDM

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作图教程、详细的一维、二维、三维作图的教程。(MATLAB drawing tutorials, detailed one-dimensional, two-dimensional, three-dimensional mapping tutorial.)

非常帅气的window32 窗口类源码，可以此为基础做进一步的开发。(A Simple Win32 Window Wrapper Class。http://www.codeproject.com/win32/win32windowwrapperclass.asp)

source code describing the use of vector machine support with matlab

image compression using wavelet using matlab

提取子波代码研究. Wavelet extraction.(Wavelet extraction.)

generate simple random fractals recursively

程序为matlab编程的求解约束优化软件，适用于求解等式约束和不等式约束情况；(Matlab program for solving constrained optimization software, suitable for solving equality constraints and inequality constraints )

matlab 数据导入导出及相关实例分析。做的不好，请指教(matlab data import and export, and analyze relevant examples. Do not, please advise)

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