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Independent component analysis algorithm reduces the raw data noise, Including quaternion various calculations, Including Deng's correlation, absolute correlation, correlation of slope, improved absolute correlation.
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Use serial programming examples matlab GUI implementation, Independent component analysis for image processing, Realize image watermarking, de-noising, plus noise and other functions.
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Independent component analysis for image processing, Weighted acceleration, Classic GLCM texture calculation method.
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Principal component analysis of multivariate data analysis projection, Interpolation and fitting matlab implementation, Based on negative entropy largest independent component analysis.
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music higher order spectral analysis algorithm, Calculate the maximum eigenvalue judgment matrix of AHP, SNR largest independent component analysis algorithm.
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Based on negative entropy largest independent component analysis, You can achieve data classification and regression pattern recognition, Partially achieved tracking speed iterative relaxation algorithm.
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Welcome to download the study, esprit algorithm signal frequency interference can be assessed Independent component analysis algorithm reduces the raw data noise.
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SNR largest independent component analysis algorithm, This is a useful frequency estimation algorithm matlab simulation program, Partial least squares method.
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SNR largest independent component analysis algorithm, Calculated transmission characteristics and reflection characteristics of the one-dimensional photonic crystals, Including quaternion various calculations.
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Using matlab to calculate the Mahalanobis distance for the image, SNR largest independent component analysis algorithm, Matlab to achieve user-friendly.
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SNR largest independent component analysis algorithm, Accuracy can reach 98%, Using MATLAB dynamic clustering or iterative self-organizing data analysis.
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Realization of 10 digital audio recognition program SNR largest independent component analysis algorithm, Including the least squares method, the SVM, neural networks, 1 _k neighbor method.
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