Kernel density estimation on the Siegel space applied to radar processing
Résumé
Main techniques of probability density estimation on Riemannian manifolds are reviewed in the case of the Siegel space. For computational reasons we chose to focus on the kernel density estimation. The main result of the paper is the expression of Pelletier's kernel density estimator. The method is applied to density estimation of reflection coefficients from radar observations.
Origine | Fichiers produits par l'(les) auteur(s) |
---|
Loading...