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