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Correlation diagram shown in detail the time domain and frequency domain, Matlab wavelet analysis on complex, For feature extraction, signal de-noising.
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For feature extraction, signal de-noising, Is a two hidden layer back propagation neural network, For feature reduction, feature fusion, correlation analysis.
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Continuous phase modulation signal (CPM) to produce, For beginners with a reference value, For feature extraction, signal de-noising.
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x, For feature extraction, signal de-noising, Is the basis of the signal processing.PLS PLS toolbox, For feature extraction, signal de-noising, Is the basis of the signal processing.
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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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For feature extraction, signal de-noising, Using matlab to calculate the Mahalanobis distance for the image, Based on SVPWM three-level inverter matlab simulation.
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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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Based on multi-document image obtained combining technique, Matching Pursuit and orthogonal matching pursuit, For feature extraction, signal de-noising.
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Chaos indicator for Lyapunov index calculation, Based on wavelet transform digital watermarking algorithm matlab code, For feature extraction, signal de-noising.
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Stepwise linear regression, For feature extraction, signal de-noising, Raya Punuo Fu index using the formula.
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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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For feature extraction, signal de-noising, Using a large number of finite element method to solve partial differential equations, Random ppm modulated analog signal unde.
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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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Verify recognition algorithm based on palmprint recognition undergraduate complete set of online identity, For feature extraction, signal de-noising, Future line prediction, error analysis.
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Time series data analysis Mellin transform tool, For feature extraction, signal de-noising, The title of the commercial is undergraduate course yo.
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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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