Adaptive Estimation Based on Quantized Measurements - Archive ouverte HAL
Communication Dans Un Congrès Année : 2013

Adaptive Estimation Based on Quantized Measurements

Résumé

In this paper, the tracking of a slowly varying scalar Wiener process based on quantized noisy measurements is studied. An adaptive algorithm using a quantizer with adjustable input gain and bias is presented as a low complexity solution. The mean and asymptotic mean squared error of the algorithm are derived. Simulations under Cauchy and Gaussian noise are presented to validate the results and a comparison with the optimal estimator in the Gaussian and real-valued measurement case shows that the loss of performance due to quantization is negligible using 4 or 5 bits of resolution.

Domaines

Traitement du signal et de l'image [eess.SP] Traitement du signal et de l'image [eess.SP]
Fichier principal
Vignette du fichier
adaptive_estimation_based_on_quantized_measurements.pdf (144.8 Ko) Télécharger le fichier
adaptive_estimation_based_on_quantized_measurements_presentation.pdf (160.23 Ko) Télécharger le fichier
Origine Fichiers produits par l'(les) auteur(s)
Format Autre

Rodrigo Cabral Farias  : Connectez-vous pour contacter le contributeur

https://hal.science/hal-00875981

Soumis le : mercredi 23 octobre 2013-13:53:27

Dernière modification le : mercredi 18 décembre 2024-10:06:06

Archivage à long terme le : vendredi 24 janvier 2014-04:25:34

Télécharger pour visualiser

Dates et versions

hal-00875981 , version 1 (23-10-2013)

Identifiants

  • HAL Id : hal-00875981 , version 1

Citer

Rodrigo Cabral Farias, Jean-Marc Brossier. Adaptive Estimation Based on Quantized Measurements. ICC 2013 - IEEE International Conference on Communications, Jun 2013, Budapest, Hungary. pp.CT-04/5. ⟨hal-00875981⟩

Exporter

BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite

Collections

UGA CNRS GIPSA GIPSA-DIS GIPSA-CICS
117 Consultations
296 Téléchargements

Partager

More