logo EDITE Marion BELLARD
Identité
Marion BELLARD
État académique
Thèse soutenue le 2014-01-30
Sujet: Influence du mapping
Direction de thèse:
Laboratoire:
Voisinage
Ellipse bleue: doctorant, ellipse jaune: docteur, rectangle vert: permanent, rectangle jaune: HDR. Trait vert: encadrant de thèse, trait bleu: directeur de thèse, pointillé: jury d'évaluation à mi-parcours ou jury de thèse.
Productions scientifiques
oai:hal.archives-ouvertes.fr:hal-00880637
Reconstruction of Constellation Labeling with Convolutional Coded Data
We propose here an algorithm for reconstructing an unknown constellation labeling. Our method assumes that the underlying error correcting code is a convolutional code. We define the notions of linear and affine equivalence among labelings. Those notions will help us to reduce the cost of the search. We show that the search is intractable with our method as the constellation size grows. In that case we restrict the search to Gray labelings. Our algorithm adapts very well to that constraint and allows an easy reconstruction up to a constellation of 256 points.
In Proceedings of the 2012 IEEE International Symposium on Information Theory and its Applications International Symposium on Information Theory and its Applicationsconference proceeding 2012-10-28
Soutenance
Thèse: Influence du mapping pour la reconnaissance d'un système de communication
Soutenance: 2014-01-30
Rapporteurs: Pierre LOIDREAU    Thierry BERGER