An Information-Spectrum Approach to Distributed Hypothesis Testing for General Sources - Equipe Channel and source coding solutions for emerging digital communication and storage systems
Communication Dans Un Congrès Année : 2024

An Information-Spectrum Approach to Distributed Hypothesis Testing for General Sources

Résumé

This paper investigates Distributed Hypothesis testing (DHT), in which a source X is encoded given that side information Y is available at the decoder only. Based on the received coded data, the receiver aims to decide on the two hypotheses H0 or H1 related to the joint distribution of X and Y. While most existing contributions in the literature on DHT consider i.i.d. assumptions, this paper assumes more generic, non-i.i.d., non-stationary, and non-ergodic sources models. It relies on information-spectrum tools to provide general formulas on the achievable Type-II error exponent under a constraint on the Type-I error. The achievability proof is based on a quantize-and-binning scheme. It is shown that with the quantize-and-binning approach, the error exponent boils down to a trade-off between a binning error and a decision error, as already observed for the i.i.d. sources. The last part of the paper provides error exponents for particular source models, e.g., Gaussian, stationary, and ergodic models.
Fichier principal
Vignette du fichier
Salihou24IZS.pdf (291.2 Ko) Télécharger le fichier
Origine Fichiers produits par l'(les) auteur(s)

Dates et versions

hal-04682208 , version 1 (30-08-2024)

Identifiants

  • HAL Id : hal-04682208 , version 1

Citer

Ismaila Salihou Adamou, Elsa Dupraz, Tadashi Matsumoto. An Information-Spectrum Approach to Distributed Hypothesis Testing for General Sources. 2024 International Zurich Seminar on Information and Communication, Mar 2024, Zurich, Switzerland. ⟨hal-04682208⟩
7 Consultations
3 Téléchargements

Partager

More