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PCA-Example

于 2011-02-28 发布文件大小:6KB

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Principal component analysis (PCA) is a mathematical procedure that uses an orthogonal transformation to convert a set of observations of possibly correlated variables into a set of values of uncorrelated variables called principal components. The number of principal components is less than or equal to the number of original variables.

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积分：1
tuoluobiaodinggongshi
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积分：1
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2008-10-04 21:51:17下载

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循环流化床锅炉燃烧过程simulink模型解耦以后的(CFBB combustion simulink model )

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QPSK信号在高斯和瑞利信道下的调制解调，并画出误码率曲线和星座图(QPSK Modulation and demodulation)

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积分：1

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PCA-Example

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