matlab_numer

自己編寫的matlab代碼，實現fft函數及ifft函數功能(I have written matlab code to achieve the original fft function and the ifft function)

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))

标定程序，张正友的标定程序，实现摄像机内外参数标定(calibration procedures, Zhang is the Friends of the calibration procedures, and outside the parameters of the camera calibration)

emd中处理端点的方法，对于端点的效果很好。(emd endpoint processing method for endpoint works well.)

关于今年来四川房价的一个时间序列预测，有很好的预测结果(For this year to a time series of Sichuan house price forecasts)

the code simulate the transmission using convlutional encoder and vetirbi decoder

通过傅里叶变换的方法计算全息图像某一行的衬比度(fringe contrast calculation)

点目标成像程序，程序简洁，效果较好，具有一定的使用价值(ISAR image)

这个代码是根据已经得到的权值矩阵，来进行分类(This code is based on the weight matrix has been to classify)

this file compute lagg on arrays