Ramirez-N.---WiX-3

data ware housing concepts

matlab经典算法的程序，适合数学建模时使用(Matlab algorithm procedures, suitable for classical mathematical modeling when used)

说明：  AR谱估计算法的matlab仿真，包括Yule-Walker方法、协方差方法、修正协方差方法和burg递推法等(AR spectral estimation algorithm matlab simulation, including the Yule-Walker method, covariance method, modified covariance method and the recursive law burg)

这是一些关于旋转机械的频率追踪的参考资料，希望对大家有所帮助。(This is some of the rotating machinery frequency tracking reference, and they hope to help everyone.)

是信号处理的基础，小波包分析提取振动信号中的特征频率，用平面波展开法计算二维声子晶体带隙。( Is the basis of the signal processing, Wavelet packet analysis to extract vibration signal characteristic frequency, Computation Method D phononic bandgap plane wave.)

Simulink Matlab Basic OFDM

电动工具控制源程序 投入量产运用，吐血共享(motor controler)

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.)

说明：  matlab序贯算法 提高运算的精确性 对运算仿真结果的准确性进行控制(matlab sequence )

二维fdtd远场分布二维fdtd远场分布(fdtd,2dfdtd,2dfdtd,2dfdtd,2d)