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| def | common.Mv (nu, X) |
| | Matérn kernel. More...
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| def | common.Matern_kernel (x, nu=1, rho=1) |
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| def | common.SM_kernel (x, a) |
| | Shifted Matern kernel. More...
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| def | common.GM_kernel (x, nu, rho, a) |
| | Generalized Matern kernel. More...
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| def | common.EP_kernel (x, a) |
| | Exponential-polynomial kernel. More...
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| def | common.vf2tau (vf, sigma=1, strategy=0) |
| | Volume fraction to Tau (and vice-versa) More...
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| def | common.tau2vf (tau, sigma=1, strategy=0) |
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| def | common.Cov2S2 (tau, g, strategy=0) |
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| def | common.FourierOfGaussian (noise) |
| | Fourier Transform of Gaussian Noise. More...
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| def | common.compute_Sphericity (V, A) |
| | Inclusion geometry. More...
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| def | common.Expectation (X) |
| | Basic probability tools. More...
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| def | common.Variance (X, m=None) |
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| def | common.SpacialCovariance (X) |
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| def | common.compute_ProbaDist (data, bins=None) |
| | Compute probability distribution (from data) More...
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| def | common.fit_ProbaDist (x, p, type='LogNormal') |
| | Fit a probability with LogNormal (or Normal) More...
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| def | common.autocorrelation (X) |
| | Autocorrelation of an image. More...
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| def | common.slope_by_fft (C) |
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| def | common.dens_Exponential (x, lmbda=1) |
| | Probability densities. More...
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| def | common.dens_Normal (x, m=0, sigma=1) |
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| def | common.dens_LogNormal (x, m=0, sigma=1) |
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| def | common.MC_estimate_Covariance (RandomField, nsamples=100, nbins=None) |
| | Estimate covariance using Monte-Carlo. More...
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