copula-var

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.)

对信号进行短时傅里叶变换，可以方便的调节各种短时傅里叶变换的影响因素。(Short-time Fourier transform of the signal, you can easily adjust a variety of short-time Fourier transform of the influencing factors.)

说明：  包含matlab各种命令函数的简介及查询，包含电子书籍《matlab命令大全》。(Matlab command function includes a variety of briefings and inquiries, including e-books &quot matlab command Tai Quan.&quot )

说明：  用MATLAB编写的，用人口迁移算法求函数的最大值。可运行。(Prepared using MATLAB, with population migration algorithm for the maximum value function. Can run.)

Simplified model of induction motor and drive

Kalman滤波 Made By Zhang HengFu X(k)=A*X(k-1)+B*U(k)+W(k)； Z(k)=H*X(k)+V(k)(Kalman Made By Zhang HengFu X(k)=A*X(k-1)+B*U(k)+W(k)； Z(k)=H*X(k)+V(k))

对原始正弦信号进行傅里叶变换与逆变换并给出结果(Fourier transform and inverse transform the original sinusoidal signals and gives results)

经验模态分解算法，主要作为用于盲源分离的信号处理算法(Empirical mode decomposition algorithm, mainly used as a signal processing algorithm for blind source separation)

经典法，布莱克曼-图基法求谱估计，简单实用(Classical method, Blackman- map-based spectrum estimation method, simple and practical)

对心电信号的基线消除，包含ECG信号和源代码，并在matlab中仿真，包含中值滤波，高通滤波，整系数滤波，和小波变换！都是一些简单的经典的方法(Elimination of baseline ECG, ECG signals and includes source code and simulation in matlab, including median filtering, high-pass filter, the filter with integer coefficients, and wavelet transform! Are some simple classical methods)