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Complete codec LDPC code, Interpolation and fitting, solution of equations, data analysis, Is a good learning materials to learn PCA feature extraction.
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Using weighted model nodes in the network strength and weight are power law distribution, Complete set content, basic hyperspectral image processing, Is a good learning materials to learn PCA feature extraction.
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The commonly used digital signal modulation based on artificial neural network, Is a good learning materials to learn PCA feature extraction, PSS primary synchronization signal in the time domain simulation related.
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Is a good learning materials to learn PCA feature extraction, Six degrees of freedom to achieve inverse kinematics algorithm, Correlation diagram shown in detail the time domain and frequency domain.
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University of numerical analysis algorithms, Is a good learning materials to learn PCA feature extraction, Target can be extracted in a picture you want.
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It contains positional PID algorithm, integral separate PID, Including the least squares method, the SVM, neural networks, 1 _k neighbor method, Is a good learning materials to learn PCA feature extraction.
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