AbstractWe establish several methods for constructing stationary self-similar random fields (ssf's) on the integer lattice by “random wavelet expansion”, which stands for representation of random fields by sums of randomly scaled and translated functions, or more generally, by composites of random functionals and deterministic wavelet expansion. To construct ssf's on the integer lattice, random wavelet expansion is applied to the indicator functions of unit cubes at integer sites. We demonstrate how to construct Gaussian, symmetric stable, and Poisson ssf's by random wavelet expansion with mother wavelets having compact support or non-compact support. We also generalize ssf's to stationary random fields which are invariant under independent...
Uncertainty is an inherent part of many physical systems. This is often ignored to simplify mathemat...
International audienceWe study generalized random fields which arise as rescaling limits of spatial ...
International audienceRandom fractal signals obtained as fixed points of Iterated Function Systems (...
We establish several methods for constructing stationary self-similar random elds (ssf ’s) on the in...
AbstractWe establish several methods for constructing stationary self-similar random fields (ssf's) ...
AbstractMultivariate random fields whose distributions are invariant under operator-scalings in both...
Multivariate random fields whose distributions are invariant under operator-scalings in both the tim...
Abstract. We study generalized random fields which arise as rescaling limits of spa-tial configurati...
AbstractThe study of continuous wavelet transform (CWT) of signals through the behavior of its local...
We study limiting random systems that arise by aggregation of spherical grains which are uniformly s...
We analyze and compare the efficiency and accuracy of two simulation methods for homogeneous random ...
We study the Gaussian random fields indexed by Rd whose covariance is defined in all generality as t...
We propose an explicit way to generate a class of Operator scaling stable random Gaussian fields (OS...
AbstractA stationary random field is often more complicated than a univariate stationary time series...
We consider random functions defined by atomic decompositions in a wavelet dictionary. The scale and...
Uncertainty is an inherent part of many physical systems. This is often ignored to simplify mathemat...
International audienceWe study generalized random fields which arise as rescaling limits of spatial ...
International audienceRandom fractal signals obtained as fixed points of Iterated Function Systems (...
We establish several methods for constructing stationary self-similar random elds (ssf ’s) on the in...
AbstractWe establish several methods for constructing stationary self-similar random fields (ssf's) ...
AbstractMultivariate random fields whose distributions are invariant under operator-scalings in both...
Multivariate random fields whose distributions are invariant under operator-scalings in both the tim...
Abstract. We study generalized random fields which arise as rescaling limits of spa-tial configurati...
AbstractThe study of continuous wavelet transform (CWT) of signals through the behavior of its local...
We study limiting random systems that arise by aggregation of spherical grains which are uniformly s...
We analyze and compare the efficiency and accuracy of two simulation methods for homogeneous random ...
We study the Gaussian random fields indexed by Rd whose covariance is defined in all generality as t...
We propose an explicit way to generate a class of Operator scaling stable random Gaussian fields (OS...
AbstractA stationary random field is often more complicated than a univariate stationary time series...
We consider random functions defined by atomic decompositions in a wavelet dictionary. The scale and...
Uncertainty is an inherent part of many physical systems. This is often ignored to simplify mathemat...
International audienceWe study generalized random fields which arise as rescaling limits of spatial ...
International audienceRandom fractal signals obtained as fixed points of Iterated Function Systems (...