201405008

matlab实现卫星定位的算法，包含一个简单的定位程序simple.m，还有另外一套的程序，包含卫星位置的的解算，伪距的计算，接收机位置的计算(Satellite positioning algorithm using matlab to achieve)

双线性快速缩放图像以及简单的半色调打印技术程序(images processing)

无线通讯系统的matlab仿真程序；主要包括同步，均衡，信道估计，调制解调(Wireless communications systems matlab simulation program mainly include synchronization, balance, channel estimation, modulation and demodulation)

用于生成ECG波形，包括P波，QRS波，T波(Used to generate the ECG waveform, including the P wave, QRS wave, T wave)

RTD2120.rar programing GFF files

说明：  分数阶灰色单变量预测模型，可用于小样本不确定序列时间序列预测(time series forecasting)

关于不同的差分格式求解对流偏微分方程的比较的程序(difference on the different format for the convection of partial differential equations procedures)

source code for serial communication

逐步判别分析的主函数 用于分类 [sel,c,c0,re,P]=StepclaassV2(data,[50 50 50],data,10) 输入变量 x为训练集.每行为一个样本，每列为一个变量. Class_x,为训练集的分类情况，一行，为各类样本数量,例如[5 6 9] Test为待分类样本. 输出变量：sel为选择的变量序号，c,c0为拟合出的判别函数.re为对Test的判别结果,P为其后验概率. author 王新 2012.4.8 例子Sample: load fisheriris x=meas Class_x=[50,50,50] Test=meas(1:5,:) Fa1=4 [sel,c,c0,re,P]=StepclaassV2(x,Class_x,Test,Fa1)( Stepwise discriminant analysis for the classification of the main function [sel, c, c0, re, P] = StepclaassV2 (data, [50 50 50], data, 10) input variables x as the training set, each conduct a sample of each as a variable. Class_x, the classification for the training set, a row, the number of samples for all types, for example, [5 6 9] Test sample to be classified. output variable: sel for the selected variables serial number, c, c0 is fitted discriminant function. re discrimination results for the Test, P its posterior probability. author Wang 2012.4.8 examples Sample: load fisheriris x = meas Class_x = [50,50,50] Test = meas (1:5, :) Fa1 = 4 [sel, c, c0, re, P] = StepclaassV2 (x, Class_x, Test, Fa1))

说明：  数学实验：使用MATLAB书的源码 实验1 矩阵运算与Matlab命令 1.1 知识要点与背景:日常矩阵及其运算 1.2 实验与观察:矩阵和Matlab语言 1.3 应用、思考与练习 实验2 函数的可视化与Matlab作图 2.1 实验与观察:函数的可视化 2.2 应用、思考与练习 实验3 函数式——直接确定型模型 3.1 知识要点与背景:函数——直接确定型模型 3.2 实验与观察:插值与拟合 3.3 应用、思考与练习 实验4 微分、积分和微分方程 4.1 知识要点与背景:微积分学基本定理 4.2 实验与观察(I):数值微积分 4.3 实验与观察(II):Matlab符号微积分简介 4.4 应用、思考与练习 实验5 用导数作定性分析 5.1 知识要点:函数作图——用导数定性描述函数 5.2 实验与观察:微分方程的定性解图示 5.3 应用、思考与练习(Mathematical Experiment: Using MATLAB source book)