On the use of Empirical Likelihood for non-Gaussian clutter covariance matrix estimation

Plusieurs caractéristiques physio-pathologiques participent à ce « remodelage vasculaire pulmonaire » (Figure 3: Anomalies dans la circulation pulmonaire au cours de

7, is shown the angular variation of the shift of the Se lines after correction from the dipolar and the demagnetization contributions, for the four different magnetic field

As an example, to show the prediction of fire growth, smoke movement and occupant evacuation in this building, a non-flashover fire is assumed to have occurred in the centre

Relying on recent advances in statistical estima- tion of covariance distances based on random matrix theory, this article proposes an improved covariance and precision

Abramovich , Regularized covariance matrix estimation in com- plex elliptically symmetric distributions using the expected likelihood ap- proach - part 2: the under-sampled

Key words: Covariance matrix estimation, Cram´ er-Rao bound, maximum likelihood, K-distribution, spherically invariant random

In this paper has been introduced a new MLE of the clutter subspace projector in the context of a low-rank SIRV plus white Gaussian noise which outperforms the classical estima-

After having reminded the general ML texture tracking method, the benefit of the modeling the texture τ with a Fisher Probability Density Function (PDF) is exposed and