A Gaussian isotropic stochastic field on a 2D-sphere is characterized by either its covariance function or its angular spectrum. The object of this paper is the estimation of the spectrum in two steps. First we estimate the covariance function, secondly we approximate the series expansion of the covariance function with respect of Legendre polynomials. Simulations show that this method is fast and precise. Keywords: Angular correlation, angular spectrum, isotropic fields on sphere, estimation of correlatio
Click on the DOI link below to access the article (may not be free).This paper presents the characte...
We study the weak convergence (in the high-frequency limit) of the parameter estimators of power spe...
Maxwell's multipoles are a natural geometric characterization of real functions on the sphere (with ...
We consider the problem of estimating the covariance function of an isotropic Gaussian stochastic fi...
Isotropic Gaussian random fields on the sphere are characterized by Karhunen-Lo\`eve expansions with...
We establish weak convergence of the empirical process on the spherical harmonics of a Gaussian rand...
In this paper we provide some simple characterizations for the spherical harmonics coefficients of a...
Isotropic Gaussian random fields on the sphere are characterized by Karhunen-Loève expansions with r...
International audienceThe angular power spectrum of a stationary random field on the sphere is estim...
We introduce a novel approach to simulate Gaussian random fields defined over spheres of $\mathbb{R}...
We study multivariate Gaussian random fields defined over d-dimensional spheres. First, we provide a...
This paper proposes a new class of covariance functions for bivariate random fields on spheres, havi...
AbstractWe characterize the angular polyspectra, of arbitrary order, associated with isotropic field...
Click on the DOI link below to access the article (may not be free).This paper presents the characte...
We study the weak convergence (in the high-frequency limit) of the parameter estimators of power spe...
Maxwell's multipoles are a natural geometric characterization of real functions on the sphere (with ...
We consider the problem of estimating the covariance function of an isotropic Gaussian stochastic fi...
Isotropic Gaussian random fields on the sphere are characterized by Karhunen-Lo\`eve expansions with...
We establish weak convergence of the empirical process on the spherical harmonics of a Gaussian rand...
In this paper we provide some simple characterizations for the spherical harmonics coefficients of a...
Isotropic Gaussian random fields on the sphere are characterized by Karhunen-Loève expansions with r...
International audienceThe angular power spectrum of a stationary random field on the sphere is estim...
We introduce a novel approach to simulate Gaussian random fields defined over spheres of $\mathbb{R}...
We study multivariate Gaussian random fields defined over d-dimensional spheres. First, we provide a...
This paper proposes a new class of covariance functions for bivariate random fields on spheres, havi...
AbstractWe characterize the angular polyspectra, of arbitrary order, associated with isotropic field...
Click on the DOI link below to access the article (may not be free).This paper presents the characte...
We study the weak convergence (in the high-frequency limit) of the parameter estimators of power spe...
Maxwell's multipoles are a natural geometric characterization of real functions on the sphere (with ...