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A sum of squares of those relative deviations will be minimized by device learning methods. The enhanced parameters would be the weighting factors of individual uncorrelated 3D noise habits. Corresponding covariance features are numerically assessed for just two present atmospheric turbulence spectra. The first a person is the general changed atmospheric spectrum. The second a person is the generalized altered von Karman spectrum. Based on these covariance functions, ideal superposition
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