On Berger-Tung Inner Bound for Sum-Rate versus Sum-Distortion Problem

Avasarala, S and Jana, S. and et al, . (2020) On Berger-Tung Inner Bound for Sum-Rate versus Sum-Distortion Problem. Proceedings of 2020 International Symposium on Information Theory and its Applications, ISITA 2020.

Full text not available from this repository. (Request a copy)


While tightness of the Berger-Tung inner bound has been established in the quadratic Gaussian case, and its slackness has been demonstrated in another case dealing with sources with common information, the underlying tightness/slackness issue re-mains to be settled in several scenarios. In this context, seeking to study a simple variant of the Berger-Tung problem, we consider doubly symmetric binary sources, Hamming distortion measures, and sum-rate versus sum-distortion. As a first step, in this paper we propose two functions admitting closed-form expressions, prove their local optimality in certain sense, conjecture that those functions specify the Berger-Tung inner bound, and present simulation-based evidence in support of such conjecture.

[error in script]
IITH Creators:
IITH CreatorsORCiD
Item Type: Article
Uncontrolled Keywords: Binary sources; Closed-form expression; Distortion measures; Local optimality; Quadratic Gaussian; Sum-rate;Information theory
Subjects: Electrical Engineering
Divisions: Department of Electrical Engineering
Depositing User: . LibTrainee 2021
Date Deposited: 22 Jul 2021 07:03
Last Modified: 22 Feb 2022 09:04
URI: http://raiith.iith.ac.in/id/eprint/8462
Publisher URL:
Related URLs:

Actions (login required)

View Item View Item
Statistics for RAIITH ePrint 8462 Statistics for this ePrint Item