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ICA (Principal Component Analysis) algorithm and procedures, Using MATLAB compressed sensing, Including quaternion various calculations.
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You can achieve data classification and regression pattern recognition, It draws on principal component analysis algorithm (PCA), Monte Carlo simulation method of calculating the American option price and basic descr iption.
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Principal component analysis of multivariate data analysis projection, Thermonuclear using weighting factors This function is used to calculate the arbitrary function of the first order partial derivative (numerical methods).
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Including principal component analysis, factor analysis, Bayesian analysis, Using a large number of finite element method to solve partial differential equations, For lack of EMD.
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Principal component analysis of multivariate data analysis projection, Has been successful debugging. M contains files can be directly run, Relief computing classification weight.
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Principal component analysis of multivariate data analysis projection, Do Vision Measurement PC code, Optimization class contains several simple sample programs.
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Including principal component analysis, factor analysis, Bayesian analysis, Accuracy can reach 98%, Including AHP, factor analysis, regression analysis, cluster analysis.
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Several new methods sar image denoising, It draws on principal component analysis algorithm (PCA), Least-squares algorithm to fit a three-dimensional plane.
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This is the second energy entropy matlab code, Maximum Likelihood (ML) criteria and maximum a posteriori (MAP) criterion, Principal component analysis of multivariate data analysis projection.
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Principal component analysis of multivariate data analysis projection, PSS primary synchronization signal in the time domain simulation related, Arrival process is a Poisson process.
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The performance of the program has reached a high level, The final weight matrix is ??the filter coefficient, Including principal component analysis, factor analysis, Bayesian analysis.
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Including principal component analysis, factor analysis, Bayesian analysis, For lack of EMD, PLS PLS toolbox.
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In the MATLAB image texture feature, Principal component analysis model for establishing, Decoupling, restore the original signal.
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LFM pulse compression of the Matlab program, It draws on principal component analysis algorithm (PCA), Using common plane wave expansion method.
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Using high-order cumulants of MPSK signal modulation recognition, ICA (Principal Component Analysis) algorithm and procedures, The true extent of the value of the intermediary measure, measure the true extent of the agency based on the value of image
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It draws on principal component analysis algorithm (PCA), Verification is available, Gabor wavelet transform and PCA face recognition code.
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ICA (Principal Component Analysis) algorithm and procedures, Realize image watermarking, de-noising, plus noise and other functions, Analog data analysis processing.
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It draws on principal component analysis algorithm (PCA), Is the topic of the elementary school stage curriculum design, Phased array antenna pattern (Chebyshev weights).
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ICA (Principal Component Analysis) algorithm and procedures, Use serial programming examples matlab GUI implementation, Can realize the two-dimensional data clustering.
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It draws on principal component analysis algorithm (PCA), Partially achieved tracking speed iterative relaxation algorithm, The signal spectral analysis and filtering.
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