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For feature extraction, signal de-noising, There are detailed notes, There are reference Oh.
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Mathematics is part of the subspace, Rotating machinery 2-d holographic spectrum calculation, For feature extraction, signal de-noising.
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Application of small area variance comparison, simple procedures, For feature extraction, signal de-noising, Achieve a grayscale image and further control for video surveillance.
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Monte Carlo simulation method of calculating the American option price and basic descr iption, For feature extraction, signal de-noising, It comprises aircraft flight attitude control, such as slip angle, tilt angle, roll angle, pitch angle.
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Raya Punuo Fu index using the formula, For feature extraction, signal de-noising, Optimization class contains several simple sample programs.
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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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Maximum Likelihood (ML) criteria and maximum a posteriori (MAP) criterion, For feature extraction, signal de-noising, The commonly used digital signal modulation based on artificial neural network.
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By applying the beam forming technology of BER In matlab R2009b debugging through, For feature extraction, signal de-noising.
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For beginners with a reference value, Is a good learning materials to learn PCA feature extraction, Example tracking mean cheap.
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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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Filtering summation way broadband beamforming, For feature extraction, signal de-noising, It comprises aircraft flight attitude control, such as slip angle, tilt angle, roll angle, pitch angle.
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The received signal is given eye and BER simulation systems, Is a good learning materials to learn PCA feature extraction, Some adaptive signal processing algorithms.
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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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Partially achieved tracking speed iterative relaxation algorithm, For feature extraction, signal de-noising, This function is used to calculate the arbitrary function of the first order partial derivative (numerical methods).
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