PHD

说明：  飞机设计的相关程序,全机总体参数计算程序 ,全机气动曲线计算程序 ,机翼载荷分布计算程序,巡航状态纵向动稳定性计算程序 ,横航向稳定性计算程序,平飞速度范围计算程序,螺旋桨特性计算程序 (program about flight design including most of problems in flight design)

说明：  通带滤波，用滤波法进行通带滤波，处理手段先进(tongdailvbo)

matlab 的数据挖掘工具包，图像界面，有效挖掘数据的关联关系(Matlab data mining tools package, graphical interface to effectively tap the data relationship )

这是第一版的AsymPDC工具包。用来处理PDC，gPDC和iPDC有关内容。运行环境为Matlab,并且要求至少Matlab中预装了3个工具箱：控制系统，信号处理和统计工具箱。(This is the first public release of AsympPDC package. It deals with the asymptotic statistics for PDC, gPDC and iPDC. AsympPDC runs under Matlab and is a practically self-contained except for requires routines from three Matlab toolboxes: Control System, Signal Processing, and Statistical. It is not extensively tested yet. It was partially tested under Windows, Macintosh and Linux environments with Matlab version 7.0 and higher. Please report any incompatibility to ksameshi[at]usp.br or baccala[at]lcs.poli.usp.br. Additionally for cosmetic purposes, the pdc_xplot routine uses several Matlab users contributed codes: subplot2.m (modified old version of supbplot to control spacing between subplots), shadedplot.m (developed by Dave Van Tol), suplabel.m (for label and title plotting in subplot figures, by Ben Barrowes), suptitle.m (contributed by Drea Thomas, for adding title above all subplots), and tilefigs.m (for tiling figures for simultaneous visualization, by Charles Plum))

一个函数,可用于构建CDMA信源,有数据产生的PN码的形成,以及噪声设置(a function can be used to build CDMA source, the data PN formation, and installed noise)

函数功能是基于实数编码遗传算法的PID整定(Function function is based on real-coded genetic algorithm tuning PID)

说明：  预测光伏负荷的MATLAB程序，遗传算法可以运行 扣扣扣扣(Matlab program for forecasting photovoltaic load, genetic algorithm can run buckle)

介绍matlab界面设计方面的内容，对于matlab设计是很有用的(Introduction matlab interface design aspects, is useful for the design matlab)

image processing information about roi applying for deblurring

Motivation: Why data mining? What is data mining? Data Mining: On what kind of data? Data mining functionality Classification of data mining systems Top-10 most popular data mining algorithms Major issues in data mining Overview of the course