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一杯沸水冷却，圆柱体模型，底面半径0.05m，高0.1m，周围温度20度，初始水温100度 方程是四维输运方程（常数a^2=k/(c*p)，k是热传导系数0.6006焦/（米*秒*度）） 初始条件：t=0时水等于100度 边界条件：1.上下壁都是自由冷却，第三类边界条件，周围温度保持在20度（H=k/h,h取1） 2.杯壁绝热，第二类边界条件 图形显示格式,取过圆柱轴的截面温度变化将其做成动画. (A cup of boiling water for cooling, the cylinder model, the bottom radius of 0.05m, the high-0.1m, an ambient temperature of 20 degrees, the initial water temperature of 100 degrees is four-dimensional transport equation equation (constant a ^ 2 = k/(c* p), k is the thermal conductivity coefficient of 0.6006 J/(m* s* degrees)) initial conditions: t = 0 when the water equivalent to 100 degrees boundary conditions: 1. up and down the wall are free cooling, the third boundary condition, the ambient temperature maintained at 20 degrees (H = k/h, h check one) 2.杯壁insulation, the second boundary condition graphical display format, check-off section of cylindrical shaft temperature change to make animation.)

扩频通信仿真系统，包括各个模块的分析编码译码，以及跳频仿真，和同步模块分析(Spread spectrum communication simulation systems, including the analysis of each module)

利用相关分析法对系统进行辨识，使用matlab,能够成功辨识出系统传递函数(Correlation analysis method using the system identification, the use of matlab, can successfully identify the system transfer function)

利用matlab编程实现TE TM波的推导以及包括最佳匹配层的设计还有全矢量半矢量的推导(TE TM PML)

手机定位中基于TDOA技术的fang算法的仿真(TDOA mobile location technology based on the simulation algorithm fang)

说明：  三篇关于MATLAB，模糊PID控制，液位控制与仿真的文章(3 on MATLAB, Fuzzy PID control, level control and simulation of the article)

该工具箱包括了二种分类,二种回归,以及一种一类支持向量机算法 (1) Main_SVC_C.m --- C_SVC二类分类算法 (2) Main_SVC_Nu.m --- Nu_SVC二类分类算法 (3) Main_SVM_One_Class.m --- One-Class支持向量机 (4) Main_SVR_Epsilon.m --- Epsilon_SVR回归算法 (5) Main_SVR_Nu.m --- Nu_SVR回归算法(Support Vector Machine Matlab Toolbox 1.0 Platform : Matlab6.5/Matlab7.0 Reference : Chih-Chung Chang, Chih-Jen Lin. "LIBSVM: a Library for Support Vector Machines")

this function erases any empty sheets in an excel document the input fileName is the entire path of the file for example, fileName = C:Documents and Settingsmatlab

用FAMALE.TXT和MALE.TXT的数据作为本次作业使用的样本集，利用K-L变换对该样本集进行变换，与过去用Fisher线性判别方法或其它方法得到的分类面进行比较.(Use FAMALE. TXT and MALE. TXT data as the assignment is to use the data sets, by K-L of the sample set of change, and the past with Fisher transformation linear discriminative methods or other methods available for the classification comparison. )

本matlab程序用DFP法求解多元模型的最小值（给出初始点和精度要求条件）。(The matlab program using DFP method for solving the minimum multivariate model (given initial point and precision conditions).)