Strong Converse Exponent for Remote Lossy Source Coding

Han Wu; Hamdi Joudeh

doi:10.1109/ISIT63088.2025.11195479

Strong Converse Exponent for Remote Lossy Source Coding

Han Wu
, Hamdi Joudeh

Onderzoeksoutput: Hoofdstuk in Boek/Rapport/Congresprocedure › Conferentiebijdrage › Academic › peer review

1 Citaat (Scopus)

5 Downloads (Pure)

Samenvatting

Past works on remote lossy source coding studied the rate under average distortion and the error exponent of excess distortion probability. In this work, we look into how fast the excess distortion probability converges to 1 at small rates, also known as exponential strong converse. We characterize its exponent by establishing matched upper and lower bounds. From the exponent, we also recover two previous results on lossy source coding and biometric authentication.

Originele taal-2	Engels
Titel	2025 IEEE International Symposium on Information Theory, ISIT 2025
Uitgeverij	Institute of Electrical and Electronics Engineers
Aantal pagina's	6
ISBN van elektronische versie	979-8-3315-4399-0
DOI's	https://doi.org/10.1109/ISIT63088.2025.11195479
Status	Gepubliceerd - 20 okt. 2025
Evenement	2025 IEEE International Symposium on Information Theory (ISIT) - Ann Arbor, Verenigde Staten van Amerika Duur: 22 jun. 2025 → 27 jun. 2025

Congres

Congres	2025 IEEE International Symposium on Information Theory (ISIT)
Land/Regio	Verenigde Staten van Amerika
Stad	Ann Arbor
Periode	22/06/25 → 27/06/25

Financiering

This work was partially supported by the European Research Council (ERC) under the ERC Starting Grant N. 101116550 (IT-JCAS).

Toegang tot document

10.1109/ISIT63088.2025.11195479

pdfDefinitieve gepubliceerde versie, 319 KBLicentie: TAVERNE

Andere bestanden en links

Link naar publicatie in Scopus

IT-JCAS: Information Theoretic Foundations of Joint Communication and Sensing
Joudeh, H. (Project Manager), Lampel, F. (Projectmedewerker), Yılmaz, G. (Projectmedewerker), Wu, H. (Projectmedewerker), Ensan, M. (Projectmedewerker), Fedorenko, R. (Projectmedewerker) & Alvarado, A. (Projectmedewerker)
1/01/24 → 31/12/28
Project: Third tier

Citeer dit

@inproceedings{74d53aa42f1448afbe2287ad0896d5fa,

title = "Strong Converse Exponent for Remote Lossy Source Coding",

abstract = "Past works on remote lossy source coding studied the rate under average distortion and the error exponent of excess distortion probability. In this work, we look into how fast the excess distortion probability converges to 1 at small rates, also known as exponential strong converse. We characterize its exponent by establishing matched upper and lower bounds. From the exponent, we also recover two previous results on lossy source coding and biometric authentication.",

author = "Han Wu and Hamdi Joudeh",

year = "2025",

month = oct,

day = "20",

doi = "10.1109/ISIT63088.2025.11195479",

language = "English",

booktitle = "2025 IEEE International Symposium on Information Theory, ISIT 2025",

publisher = "Institute of Electrical and Electronics Engineers",

address = "United States",

note = "2025 IEEE International Symposium on Information Theory (ISIT) ; Conference date: 22-06-2025 Through 27-06-2025",

}

Wu, H & Joudeh, H 2025, Strong Converse Exponent for Remote Lossy Source Coding. in 2025 IEEE International Symposium on Information Theory, ISIT 2025., 11195479, Institute of Electrical and Electronics Engineers, 2025 IEEE International Symposium on Information Theory (ISIT), Ann Arbor, Verenigde Staten van Amerika, 22/06/25. https://doi.org/10.1109/ISIT63088.2025.11195479

TY - GEN

T1 - Strong Converse Exponent for Remote Lossy Source Coding

AU - Wu, Han

AU - Joudeh, Hamdi

PY - 2025/10/20

Y1 - 2025/10/20

N2 - Past works on remote lossy source coding studied the rate under average distortion and the error exponent of excess distortion probability. In this work, we look into how fast the excess distortion probability converges to 1 at small rates, also known as exponential strong converse. We characterize its exponent by establishing matched upper and lower bounds. From the exponent, we also recover two previous results on lossy source coding and biometric authentication.

AB - Past works on remote lossy source coding studied the rate under average distortion and the error exponent of excess distortion probability. In this work, we look into how fast the excess distortion probability converges to 1 at small rates, also known as exponential strong converse. We characterize its exponent by establishing matched upper and lower bounds. From the exponent, we also recover two previous results on lossy source coding and biometric authentication.

UR - https://www.scopus.com/pages/publications/105022020691

U2 - 10.1109/ISIT63088.2025.11195479

DO - 10.1109/ISIT63088.2025.11195479

M3 - Conference contribution

BT - 2025 IEEE International Symposium on Information Theory, ISIT 2025

PB - Institute of Electrical and Electronics Engineers

T2 - 2025 IEEE International Symposium on Information Theory (ISIT)

Y2 - 22 June 2025 through 27 June 2025

ER -

Strong Converse Exponent for Remote Lossy Source Coding

Samenvatting

Congres

Financiering

Toegang tot document

Andere bestanden en links

Vingerafdruk

Projecten

IT-JCAS: Information Theoretic Foundations of Joint Communication and Sensing

Citeer dit