jiachuanglvboqi

emd过程的详细演示 可以帮助刚刚接触hht的人了解 emd的过程(EMD detailed demonstration of the process can help just contact HHT people understand the process of EMD)

说明：  //1、动态改变学习速率 //2、加入动量项 //3、运用了Matcom4.5的矩阵运算库（可免费下载,头文件matlib.h)， // 方便矩阵运算,当然，也可自己写矩阵类 //4、可暂停运算 //5、可将网络以文件的形式保存、恢复(//1, dynamically changing learning rate// 2, adding momentum item// 3, the use of matrix operations Matcom4.5 library (available for free download, headers matlib.h),// ​ ​ to facilitate matrix operations, but may also write your own matrix class// 4, may suspend the operation// 5, the network can be saved as a file and restore)

arma模型的具体实现代码， 可以用(arma model of the specific code, you can use)

说明：  power quality improvement using dpfc...

papers on Power Quality IEEE

说明：  计算一个方柱的散射的波形，并求其RCS。方柱的网格总数是N=500个，时间步为1200步。网格尺寸为lamda/18,时间间隔是ddx/2*c，c为光速。脉冲源位于中心。方柱边长为7*lamda。并与相同尺度的球的散射场进行对比(Calculate the scattered waveform of a square column and find its RCS. The total number of grids of the square column is N=500 and the time step is 1200 steps. The grid size is lamda/18, the time interval is ddx/2*c, and c is the speed of light. The pulse source is at the center. The side of the square column is 7*lamda. And compare the scattering field of the ball of the same scale)

金融数据分析的一个新的程序码 可应用于数据分析 价格以及期货指数估计 还可用于 几何布朗运动的模拟("An estimation technique for Time Indexed gaussian Mixture Models", we propose a model specification that can be used to describe data with spikes, jumps, mean reversion, geometric brownian motion, you name it... We then develop an estimation procedures to extract the parameters from data generated from this model. The original intent was to develop a model for electricity price spike, however it can be extended far beyond this. A more general extension of this basic idea using particle filtering is developed in another paper.)

Simple, yet simplistic, Lattice Boltzmann (LB) MATLAB implementation. D2H9, BGK, omega = 1, laminar flow in a 2D channel used as benchmark. Requires Image Processing Toolbox. The code is not optimized for memory nor for speed, i.e. not efficient at all. However, it is better than almost nothing (i.e. the present MATLAB situation at Feb 2005 ? as far as I know) Optimization for memory should consider only dry locations.

跟踪微分器，用于自抗扰控制的过度安排作用，学习自抗扰可参考学习，谢谢(Track Differentiator)

说明：  著名的ICP算法！matlab源程序，验证可用！(ICP algorithm famous! matlab source code to verify availability!)