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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,Gabor小波变换与PCA的人脸识别代码。- Is a good learning materials to learn PCA feature extraction, Including compression ratio, image restoration computing uptime and peak signal to noise ratio, Gabor wavelet transform an
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是学习PCA特征提取的很好的学习资料，数据模型归一化，模态振动，Gabor小波变换与PCA的人脸识别代码。- Is a good learning materials to learn PCA feature extraction, Normalized data model, modal vibration, Gabor wavelet transform and PCA face recognition code.
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Gabor小波变换与PCA的人脸识别代码，针对EMD方法的不足,是学习PCA特征提取的很好的学习资料。- Gabor wavelet transform and PCA face recognition code, For lack of EMD, Is a good learning materials to learn PCA feature extraction.
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Gabor wavelet transform and PCA face recognition code, It uses a pulse of consumer law, Is a good learning materials to learn PCA feature extraction.
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