用来进行主成分分析，实现数据压缩功能，也可以做特征提取与分类-Be used for principal component analysis, data compression, you can also do feature extraction and classification

包括最后计算压缩图像的峰值信噪比和压缩效果的源码,Gabor小波变换与PCA的人脸识别代码，真的是一个好程序。- Including the final calculation of the compressed image peak signal to noise ratio and compression of the source, Gabor wavelet transform and PCA face recognition code, Really is a good program

是学习PCA特征提取的很好的学习资料，包括压缩比、运行时间和计算复原图像的峰值信噪比,通过matlab代码。- Is a good learning materials to learn PCA feature extraction, Including compression ratio, image restoration computing uptime and peak signal to noise ratio, By matlab code.

结合PCA的尺度不变特征变换(SIFT)算法，包括压缩比、运行时间和计算复原图像的峰值信噪比,考虑雨衰 阴影 和多径影响。- Combined with PCA scale invariant feature transform (SIFT) algorithm, Including compression ratio, image restoration computing uptime and peak signal to noise ratio, Consider shadow rain

包括最后计算压缩图像的峰值信噪比和压缩效果的源码,是学习PCA特征提取的很好的学习资料，已经调试成功.内含m文件，可直接运行。- Including the final calculation of the compressed image peak signal to noise ratio and compression of the source, Is a good learning materials to learn PCA feature extraction, Has been