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进行特征提取，很不错哦！大家可以拿来做将为处理的很好工具！-Feature Extraction
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MFCC特征提取实例 MFCC特征提取实例 -Examples MFCC feature extraction
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为有效解决局部二元模式(LBP)在人脸识别特征提取时维数过高的问题，提出了一种结合LBP特征和主成分分析(PCA)的人脸识别方法．-To effectively solve the local binary pattern (LBP) feature extraction in face recognition problem of high dimensionality, we propose a combination of LBP features and principal compon
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基于主成分分析的人脸特征提取的MATLAB源代码，通过测试的-Principal component analysis based on human face feature extraction MATLAB source code, pass the test
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基于LABVIEW 环境编写的PCA程序，可以实时实现数据的特征提取。-LABVIEW-based environment for the preparation of the PCA program, you can achieve real-time feature data extraction.
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this principle component analysis(PCA) that is used for linear dimensionality reduction and feature extraction as well as the nonlinear form of PCA which is KPCA and how PCA is used for Active shape models -this is principle component analysis(PCA) t
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是学习PCA特征提取的很好的学习资料，AHP层次分析法计算判断矩阵的最大特征值,包括AHP，因子分析，回归分析，聚类分析。- Is a good learning materials to learn PCA feature extraction, Calculate the maximum eigenvalue judgment matrix of AHP, Including AHP, factor analysis, regression analysis, cluster analysi
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是学习PCA特征提取的很好的学习资料，主同步信号PSS在时域上的相关仿真，多元数据分析的主分量分析投影。- Is a good learning materials to learn PCA feature extraction, PSS primary synchronization signal in the time domain simulation related, Principal component analysis of multivariate data analysis p
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是学习PCA特征提取的很好的学习资料，这是一个好用的频偏估计算法的matlab仿真程序,解耦，恢复原信号。- Is a good learning materials to learn PCA feature extraction, This is a useful frequency estimation algorithm matlab simulation program, Decoupling, restore the original signal.
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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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IMC-PID是利用内模控制原理来对PID参数进行计算，LZ复杂度反映的是一个时间序列中，是学习PCA特征提取的很好的学习资料。- The IMC- PID is using the internal model control principle for PID parameters is calculated, LZ complexity is reflected in a time sequence, Is a good learning materials to learn PCA fe
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是学习PCA特征提取的很好的学习资料，搭建OFDM通信系统的框架，实现用SDRAM运行nios，同时用SRAM保存摄像头数据。- Is a good learning materials to learn PCA feature extraction, Build a framework OFDM communication system, Implemented with SDRAM run nios, while saving camera data SRAM.
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