blind-source-separation

biosignals ECG rrextract.m so forth.

< Cross.Platform.GUI.Programming.with.wxWidgets>>中译本PDF格式制(<Cross.Platform.GUI.Programming.with.wxWidgets>> in PDF format translation system)

通过matlab GUI的基础控件实现了多标签页的切换(Basis by matlab GUI controls to achieve a multi-tab to switch)

说明：  基于AT89S51和CC1100射频识别阅读器的设计与研究(Based on AT89S51 and CC1100 radio frequency identification readers, Design and Research)

Converts 3D and 2D MATLAB plots to the scalable vector format (SVG).(Converts 2D and 3D plots to the MATLAB scala ble vector format (SVG).)

说明：  AM调制，利用载波查表，基带信号，C语言实现功能(AM using table for carrier and baseband signals)

数据的统计描述与分析的matlab实现与分析(Statistical description and analysis matlab realize and Analysis)

对检层法测井中出现的浅层时间倒转问题实现模拟，更好的理解测井中的这一问题。(Logging on Logging Method shallow back in time to appear in the issue of analog, a better understanding of logging in this issue.)

Very simple matlab code for QAM modulation

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))