problem-Backpack

a simple graphics application

two-section dual-band Chebyshev impedance transformer

此程序为统计分析中常见的统计量的matlab程序，有详细注释.(the progroms is very good)

code for pan tompkin algorithm CORRECTED VERSION

this files contain code regarding capacity analysis

Matlab基础及其应用教程，非常好用，呵呵呵呵(Matlab basis of their application tutorial, very easy to use)

C-C方法用来计算时间延迟和时间窗口，适用于混沌时间序列，在求混沌时间序列的相空间重构时，用来计算时间延迟。(The C-C method is used to calculate the time delay and time window,it is suitable for chaotic time series, when you restructure the phase space reconstruction for chaotic time series, you can used it to calculate the time delay.)

非平衡格林函数法法计算电子透过率，具有完整的汉密尔顿量，表面格林函数，退化各领函数，E-K关系(Non-equilibrium Green' s function method to calculate electronic transmission, complete with Hamilton volume, surface Green' s function, degeneration, the leading function, EK relations)

说明：  遗传算法MATLAB代码，绝对对你开始学习ｍａｔｌａｂ和遗传算法的人有帮助(MATLAB code of genetic algorithm, the absolute beginning of your learning and genetic algorithm matlab help people)

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.)