DISANZHANG

set the map edge in map area

System identification with adaptive filter using full and partial-update Normalised-Least-Mean-Squares

说明：  用matlab做的博士毕业论文讲解,里面包括算法值得参考(Using matlab to do a PhD thesis on, which include the algorithm it is also useful)

MOESP 子空间辨识方法的程序，可以用在matlab中(Subspace identification algothem, MOESP)

the article about DC motors and pid controller

Investigation of Next Generation IEEE 802.11n Wireless Local Area Networks (WLAN)

关于非线性拟合的介绍， 与处理适合初学者的使用。(Introduction of non-linear fitting, and processing for beginners use.)

一组光纤模型,单模光纤和多模光纤都有，很好用(a lot of fiber mode)

KNN, K最邻近算法 交叉验证，选出KNN算法中较优的K值(KNN：K nearest neighbours cross validation, for the choice of the best K in KNN algorithm)

实验名称:投资组合分析 实验性质：综合性和研究探索性 实验目的：熟练运用投资组合工具箱，学会构造有效前沿组合的方法，掌握最优投资组合的计算方法；给出投资组合VaR 的值。 实验任务：选择股票并从万得下载数据，计算证券的预期收益率、标准差和协方差，设定一组约束条件，构造最优投资组合并计算该组合的Var值。 实验设备：计算机 实验软件：Matlab2013 Wind数据库 选择一组股票作为投资标的，构造投资组合，通过估计收益率均值、计算方差、协方差，计算该投资组合权重、在险价值、画出有效前沿。(Experimental Name: Portfolio Analysis Experimental nature: comprehensiveness and research exploration The purpose of the experiment is to skillfully use the portfolio toolbox, learn to construct effective frontier portfolio method, grasp the best investment portfolio calculation method, and give the value of portfolio VaR. Experimental tasks: select stock and download data from Wan De, calculate the expected return, standard deviation and covariance of securities, set up a set of constraints, construct the optimal portfolio and calculate the Var value of the portfolio. Experimental equipment: computer Experimental software: Matlab2013 Wind database A group of stocks is selected as investment target, and a portfolio is constructed. By estimating the mean value, variance and covariance of the yield, we calculate the portfolio weight, value at risk and draw effective frontier.)