mathematical modeling

我这儿有一组若干年份的数据，是按一定时间顺序排的，想用曲线拟合法得到2010年的人均国内生产总值，不知怎么用matlab，高手赐教！！！！！！可加分 年份 人均国内生产总值(元) 1996 27000 1997 30619 1998 33282 1999 33689 2000 41020 2001 43344 2002 46030 2003 53887 2004 59271 2005 64507 2006 70597 07.1季 20505 07.2季 19619 07.3季 19874 07.4季 19223 08.1季 19703(I have a group here, a number of years of data are ranked by order of a certain period of time, and want to use curve fitting to be in 2010 the per capita gross domestic product, I do not know how to use matlab, you let us know! ! ! ! ! ! Add points to the year the per capita GDP (Yuan) 1996 27000 1997 30619 1998 33282 1999 33689 2000 41020 2001 43344 2002 46030 2003 53887 2004 59271 2005 64507 2006 70597 07.1 quarter 19,619 07.3 quarter 20,505 07.2 quarter 19,223 08.1 quarter 19,874 07.4 quarter 19,703)

basic concept in matlab

MATLAB simulator for wireless LAN

Rayleigh_Channel based in Jakes model

试者工作特征曲线 （receiver operating characteristic curve，简称ROC曲线），又称为感受性曲线（sensitivity curve）。得此名的原因在于曲线上各点反映着相同的感受性，它们都是对同一信号刺激的反应，只不过是在几种不同的判定标准下所得的结果而已。接受者操作特性曲线就是以虚报概率为横轴，击中概率为纵轴所组成的坐标图，和被试在特定刺激条件下由于采用不同的判断标准得出的不同结果画出的曲线。(PLOTROC Plot receiver operating characteristic. Syntax plotroc(targets,outputs) plotroc(targets1,outputs1, name1 ,targets,outputs2, name2 , ...) Description PLOTROC(TARGETS,OUTPUTS) plots the receiver operating characteristic for each output class. The more each curve hugs the left and top edges of the plot, the better the classification. PLOTROC(TARGETS1,OUTPUTS2, name1 ,...) generates multiple plots. )

对图像以嵌入率为rate进行顺序LSB嵌入，然后进行卡方隐写分析(Rate on the image to be embedded in the order of LSB embedding rate, and then chi-square steganalysis)

此程序用来产生不同n条件下的固有频率并画出振型图(The program used to generate the N under different natural frequency and vibration mode diagram drawn )

root finding by false position

计算多重分形非趋势波动分析，高斯白噪声的生成程序，三相光伏逆变并网的仿真。( Calculate the multifractal trend fluctuation analysis, Gaussian white noise generator, Three-phase photovoltaic inverter and network simulation.)

災色統計聚類的matlab源碼，可用來進行統計分析，計算白化與灰化的情況(disaster color clustering Matlab statistical source, which can be used for statistical analysis, computation and whitening of the ash)