Paden-Kahan

EMD工具包 HT,HHT变换最新的工具(EMD kit HT, HHT transform the latest tools)

说明：  Chebyshev 用切比雪夫多项式逼近已知函数 Legendre 用勒让德多项式逼近已知函数 Pade 用帕德形式的有理分式逼近已知函数 lmz 用列梅兹算法确定函数的最佳一致逼近多项式 ZJPF 求已知函数的最佳平方逼近多项式 FZZ 用傅立叶级数逼近已知的连续周期函数 DFF 离散周期数据点的傅立叶逼近 SmartBJ 用自适应分段线性法逼近已知函数 SmartBJ 用自适应样条逼近（第一类）已知函数 multifit 离散试验数据点的多项式曲线拟合 LZXEC 离散试验数据点的线性最小二乘拟合 ZJZXEC 离散试验数据点的正交多项式最小二乘拟合 (Interpolation function)

for fem matlab for solving all 2D and 3D problem

对于初学者用matlab画图很有帮助，能迅速熟练掌握matlab作图方法(it is bery helpful for beginners to learn Matlab drawing ,with it you can quickly master the mapping method of matlab)

本程序用matlab编写，在传统的基本粒子群算法基础上结合多智能体思想，编写了基于多智能体的粒子群算法，并结合电力负荷分配问题比较了其实际效果(This program with matlab, in the traditional basic particle swarm algorithm combining based on multi-agent thought, write based on multi-agent particle swarm algorithm, and combined with power load allocation problem is the actual effect )

(1) 使用所学过的组件设计一友好的登记表, 设计方式可以Applet 或Application。 (2) 该表可以为学生入学登记表或邮件用户登记表。 (3) 要求将所学过的所有组件在表中体现，并通过事件处理对组件进行相关操作。 (4) 表中的输入信息要求存放于一文本文件中。 (5) 通过数据输出的方式，将文本中的输入信息读出后显示到屏幕上。 ((1) use the learned component to design a friendly registration form, design ways to Applet or Application. (2) The enrollment form for registration form or mail the user registration form. (3) requiring that all of the components studied reflected in the table and, through the event handling of the components related to operation. (4), enter the information requirements in the table stored in a text file. (5) The data output by the way, the text in the input information read out after the show to the screen.)

说明：  该算法适用于各种非线性，非平稳的信号，对于数据的分析较透彻。(The algorithm is suitable for various non-linear and non-stationary signals, and the data analysis is more thorough.)

ubuntu embeded development

TSL ESPRIT GTD方法针对一维像的散射点提取(TSL ESPRIT GTDMethod for one-dimensional scattering point like extraction)

本压缩文件中，含有3个图像增强的Matlab程序，包括用小波方法及非小波实现图像的增强(The compressed file, containing three of the Matlab image enhancement procedures, including the use of wavelet methods and non-wavelet image enhancement)