Strong Converse Exponent for Remote Lossy Source Coding

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.

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Published
2025-06-22
DOI
https://doi.org/10.1109/isit63088.2025.11195479
Primary Topic
Cooperative Communication and Network Coding
Type
article
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article

Strong Converse Exponent for Remote Lossy Source Coding

Hamdi Joudeh, Han Wu
Cooperative Communication and Network Coding
article

Strong Converse Exponent for Remote Lossy Source Coding

Hamdi Joudeh, Han Wu
article en

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.

Eindhoven University of Technology (NL)
Openalex Percentile: Top 65%
Cooperative Communication and Network Coding
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Strong Converse Exponent for Remote Lossy Source Coding — Hamdi Joudeh, Han Wu · (2025) | TGRS Research Map | TGRS