A robust signal quantization system based on error correcting codes - Université Paris Cité Accéder directement au contenu
Communication Dans Un Congrès Année : 2017

A robust signal quantization system based on error correcting codes

Résumé

In this paper we propose a robust representation of a digital signal based on error correction codes. For each frame of the signal (N successive samples) a binary decomposition, as a (successive power 2) weighted sum of binary vectors, is first considered. Then, each binary vector is projected into the set of codewords of a corresponding block code. The codes are designed so that their correction powers increases inversely to the weight of the binary vectors since the binary vectors with high weight are less sensitive to disturbance. The corresponding representation (decoding) thus appears as a form of signal quantization that can provide an interesting protection against noise and/or channel distorsion. Some applications showing the utility of the proposed representation are given.
Fichier principal
Vignette du fichier
robustSignalQuantization_eusipco2017_publ.pdf (1.34 Mo) Télécharger le fichier
Origine : Fichiers éditeurs autorisés sur une archive ouverte
Loading...

Dates et versions

hal-01829049 , version 1 (03-07-2018)

Identifiants

Citer

Fatimetou El Jili, Gael Mahé, Mamadou Mboup. A robust signal quantization system based on error correcting codes. European Signal Processing Conference (EUSIPCO), 2017, Kos island, Greece. ⟨10.23919/EUSIPCO.2017.8081673⟩. ⟨hal-01829049⟩
66 Consultations
175 Téléchargements

Altmetric

Partager

Gmail Facebook X LinkedIn More