blast_mimo_zf

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.)

用于提取心音包络的程序，编译运行较好，有界面显示。(Used to extract the heart sound envelope program, compile and run better, there are screen displays.)

base de données multimodale base de données multimodale base de données multimodale base de données multimodale

使用单纯形算法整定pid参数的例程还可以(PID parameters tuning by simplex algorithm)

实现SVM数据挖掘分类模型，主要构造了SVM分类器。(Data mining to achieve SVM classification model, the main structure of the SVM classifier.)

针对MIMO系统，从物理层出发考虑中断概率以及安全概率给出了概率的仿真公式( consider MIMO systerm ,simulation for outage probability and security probability)

simulink环境下的双极性PWM控制的单向电压型整流器的模型(simulink environment bipolar PWM control unidirectional voltage source rectifier model)

MATLAB,用距量法分析计算带状线的特性阻抗(MATLAB, from the method of calculation of the stripline characteristic impedance)

this is new approach for fuel cell control.it is really helpfull.

文献代码——"Statistical thresholding method for infrared images",2011.5, Pattern Analysis and Applications, Springer (matlab code of the literature——"Statistical thresholding method for infrared images",2011.5, Pattern Analysis and Applications, Springer )