houfangjiaohui

详细说明:使用matlab实现的LDA(线性判别分析)分类器,以及PCA的实现(matlab implementation of the LDA algorithm and the realization of the linear Discriminant Analysis)

基于c#的互相关函数计算，基于c#的互相关函数计算，基于c#的互相关函数计算，(Cross Correlation)

hierarchical Mesh Segmentation based on Fitting Primitives 配套源码(code for hierarchical Mesh Segmentation based on Fitting Primitives)

说明：  按FPE定阶的 源程序：fpe.cpp M序列：M序列.txt 白噪声：Gauss.txt 程序中先用依模型阶次递推算法估计模型的参数，再用fpe方法判断模型的阶次。 程序运行结果如下： n: 1 判断阶次FPE的值: 0.0096406 -0.481665 1.07868 n: 2 判断阶次FPE的值: 0.00875755 -0.446739 0.00498181 1.07791 0.0527289 n: 3 判断阶次FPE的值: 0.0087098 -0.459433 0.120972 -0.0569228 1.07814 0.0390757 0.116982 n: 4 判断阶次FPE的值: 0.000396884 -0.509677 0.4501 -0.200906 0.0656188 1.07991 -0.0156362 0.442989 0.0497236 n: 5 判断阶次FPE的值: 3.2095e-007 -1.18415 0.813123 -0.517862 0.34881 -0.116864 1.07999 -0.744141 0.474462 -0.253112 0.122771 n: 6 判断阶次FPE的值: 3.23349e-007 -1.14659 0.76933 -0.487651 0.329676 -0.10377 -0.00440907 1.07999 -0.703574 0.447253 -0.235282 0.113587 0.00479688 从以上结果可以看出，当n=5时，fpe值最小，所以这时的模型阶次和参数估计值为最优结果： 3.2095e-007 -1.18415 0.813123 -0.517862 0.34881 -0.116864 1.07999 -0.744141 0.474462 -0.253112 0.122771(err)

Modul convertion Gregorian Date to Lunar Date Visual Basic 6.0.

说明：  这是书上的代码，C/C++中调用Matlab C Math Library的实现，供大家参考(This is the code book, C/C++ In Matlab C Math Library calls to achieve for your reference)

输出一个正整数的所有格雷码序列及一正整数的所有升序拆分序列(output a positive integer Gray all sequences and a positive integer of all ascending sequence Resolution)

在matlab中用ROMBERG方法求二重积分(Seeking double integral using Romberg method in matlab)

模式识别MATLAB代码模式识别M模式识别MATLAB代码ATLAB代码(Pattern of all kinds of matlab algorithm )

对二维图片进行中心放大，能控制放大的倍数，采用最近邻法(enlarge pictures from the center of it，can control the index for enlargement)