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Support Vector Machine ToolBOX for MatLAB

复指数法模态参数识别，可识别频率、阻尼比和振型系数。(The complex exponential law modal parameter identification)

基于YCbCr颜色空间的人脸分割程序，且对大量实验图片验证均有效(YCbCr color space based on face segmentation procedure, and the picture of a large number of experimental verification are valid)

MOSEL IN XPRESS-IVE, IT IS A SOFTWARE FOR OPTIMIZATION

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.)

基于压缩感知过程的语音增强,很好的文章。(Speech enhancement based on compressive sensing)

another source code for entropy in matlab

数理统计与MATLAB的原程序，供大家学习交流(Mathematical Statistics with MATLAB original procedures for the exchange of U.S. study)

信号与系统中用matlab实现计算及simulink建模(Signals and Systems with MATLAB Computing and Simulink Modeling)

matlab教程 适合初学者与编程高级人员(book of matlab )