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
Type de document :
Communication dans un congrès
IEEE Sensor Array Multichannel Workshop, Jun 2014, A Coruña, Spain. IEEE, 2014
https://hal.inria.fr/hal-00993010
Contributeur : Alexandre Renaux
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Soumis le : lundi 19 mai 2014 - 15:04:56
Dernière modification le : jeudi 13 septembre 2018 - 15:24:04
Document(s) archivé(s) le : lundi 10 avril 2017 - 23:46:36
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. IEEE, 2014. 〈hal-00993010〉
