Statistical resolution limit for multiple parameters of interest and for multiple signals - Inria - Institut national de recherche en sciences et technologies du numérique Accéder directement au contenu
Communication Dans Un Congrès Année : 2010

Statistical resolution limit for multiple parameters of interest and for multiple signals

Résumé

The concept of Statistical Resolution Limit (SRL), which is defined as the minimal separation to resolve two closely spaced signals, is an important tool to quantify performance in parametric estimation problems. This paper generalizes the SRL based on the Cram'er-Rao bound to multiple parameters of interest per signal and for multiple signals. We first provide a fresh look at the SRL in the sense of Smith's criterion by using a proper change of variable formula. Second, based on the Minkowski distances, we extend this criterion to the important case of multiple parameters of interest per signal and to multiple signals. The results presented herein can be applied to any estimation problem and are not limited to source localization problems.
Fichier principal
Vignette du fichier
SRL_ICASSP_HAL.pdf (180.45 Ko) Télécharger le fichier
Origine : Fichiers produits par l'(les) auteur(s)
Loading...

Dates et versions

inria-00445468 , version 1 (08-01-2010)

Identifiants

Citer

Mohammed Nabil El Korso, Remy Boyer, Alexandre Renaux, Sylvie Marcos. Statistical resolution limit for multiple parameters of interest and for multiple signals. ICASSP 2010 - 35th IEEE International Conference on Acoustics, Speech and Signal Processing, 2010, Dallas, Texas, United States. pp.3602-3605, ⟨10.1109/icassp.2010.5495922⟩. ⟨inria-00445468⟩
381 Consultations
347 Téléchargements

Altmetric

Partager

Gmail Facebook X LinkedIn More