CRLB under K-distributed observation with parameterized mean - Inria - Institut national de recherche en sciences et technologies du numérique Access content directly
Conference Papers Year : 2014

CRLB under K-distributed observation with parameterized mean

Abstract

A semi closed-form expression of the Fisher information matrix in the context of K-distributed observations with parameterized mean is given and related to the classical, i.e. Gaussian case. This connection is done via a simple multiplicative factor, which only depends on the intrinsic parameters of the texture and the size of the observation vector. Finally, numerical simulation is provided to corroborate the theoretical analysis
Fichier principal
Vignette du fichier
_C36_.pdf (122.89 Ko) Télécharger le fichier
Origin : Files produced by the author(s)
Loading...

Dates and versions

hal-00993010 , version 1 (19-05-2014)

Identifiers

  • HAL Id : hal-00993010 , version 1

Cite

Mohammed Nabil El Korso, Alexandre Renaux, Philippe Forster. CRLB under K-distributed observation with parameterized mean. IEEE Sensor Array Multichannel Workshop, Jun 2014, A Coruña, Spain. ⟨hal-00993010⟩
246 View
602 Download

Share

Gmail Facebook Twitter LinkedIn More