Add to ORKGThe determination of directional power density distribution of an electromagnetic wave from the electromagnetic field measurement can be expressed as an ill-posed inverse problem. We consider the resolution of this inverse problem via a maximum entropy reg-ularization method. A finite dimensional algorithm is derived from optimality conditions, and we prove its convergence. A variant of this algorithm is also studied. This second one leads to a solution which maximizes entropy in the probabilistic sense. Some numerical examples are given
We describe an algorithm to efficiently compute maximum entropy densities, i.e. densities maximizing...
International audienceIn this paper, we study entropy maximisation problems in order to reconstruct ...
International audienceAn entropy regularization algorithm (ERA) has been developed to compute the wa...
26 pagesThe determination of directional power density distribution of an electromagnetic wave from ...
Abstract—This paper presents the development of a novel ‘maximum entropy’-based numerical methodolog...
The identification of directional energy distribution from the field measurement is an "ill-posed" p...
AbstractWe consider the linear inverse problem of reconstructing an unknown finite measure μ from a ...
International audienceThe Maximum entropy principle in spectral analysis was used as an estimator of...
The identification of directional energy distribution from the field measurement is an “ill-posed” p...
International audienceWe consider the linear inverse problem of reconstructing an unknown finite mea...
A new spectral estimate, the maximum entropy method, is described. In the maximum entropy method, th...
In this paper, the continuous optimal control theory is used to model and solve the maximum entropy ...
This paper is concerned with the localization problem of a source belonging to a domain monitored by...
The Maximum Entropy ($\textit{MaxEnt}$) method is a relatively new technique especially suitable for...
The maximum entropy method has been shown to be the only regularisation method which does not introd...
We describe an algorithm to efficiently compute maximum entropy densities, i.e. densities maximizing...
International audienceIn this paper, we study entropy maximisation problems in order to reconstruct ...
International audienceAn entropy regularization algorithm (ERA) has been developed to compute the wa...
26 pagesThe determination of directional power density distribution of an electromagnetic wave from ...
Abstract—This paper presents the development of a novel ‘maximum entropy’-based numerical methodolog...
The identification of directional energy distribution from the field measurement is an "ill-posed" p...
AbstractWe consider the linear inverse problem of reconstructing an unknown finite measure μ from a ...
International audienceThe Maximum entropy principle in spectral analysis was used as an estimator of...
The identification of directional energy distribution from the field measurement is an “ill-posed” p...
International audienceWe consider the linear inverse problem of reconstructing an unknown finite mea...
A new spectral estimate, the maximum entropy method, is described. In the maximum entropy method, th...
In this paper, the continuous optimal control theory is used to model and solve the maximum entropy ...
This paper is concerned with the localization problem of a source belonging to a domain monitored by...
The Maximum Entropy ($\textit{MaxEnt}$) method is a relatively new technique especially suitable for...
The maximum entropy method has been shown to be the only regularisation method which does not introd...
We describe an algorithm to efficiently compute maximum entropy densities, i.e. densities maximizing...
International audienceIn this paper, we study entropy maximisation problems in order to reconstruct ...
International audienceAn entropy regularization algorithm (ERA) has been developed to compute the wa...