EDBT 2026 Demo / reviewers in the wild / expert
Dania Elzouki
dblp:228/6759
· DBLP profile ↗
2ranked-venue papers
1as first author
0since 2021 · last 2020
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Computer networks · 1Theory of computation · 1 · 1 first-author
Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.
| Theoretical computer science
2 papers |
Coding theory · 100% |
Topics — the 4 heaviest of 4, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Coding theory › source coding › multiterminal source coding
distributed source coding |
0.8 | 2 | 2020 | Lattice-Based Robust Distributed Source Coding for Three Correlated Sources · IEEE Trans. Commun. 2020 Lattice-Based Robust Distributed Source Coding · IEEE Trans. Inf. Theory 2019 |
Coding theory
lattice codes |
0.8 | 2 | 2020 | Lattice-Based Robust Distributed Source Coding for Three Correlated Sources · IEEE Trans. Commun. 2020 Lattice-Based Robust Distributed Source Coding · IEEE Trans. Inf. Theory 2019 |
Coding theory › source coding › multiterminal source coding
multiple description coding |
0.4 | 1 | 2019 | Lattice-Based Robust Distributed Source Coding · IEEE Trans. Inf. Theory 2019 |
Coding theory › source coding › multiterminal source coding
correlated sources |
0.1 | 1 | 2020 | Lattice-Based Robust Distributed Source Coding for Three Correlated Sources · IEEE Trans. Commun. 2020 |
Methods — techniques the papers use, named apart from their topics
high-resolution analysis · 0.4
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2020 | Lattice-Based Robust Distributed Source Coding for Three Correlated Sources
Sorina Dumitrescu, Dania Elzouki, Jun Chen 0005 |
IEEE Trans. Commun. | 2 |
| 2019 | Lattice-Based Robust Distributed Source CodingabstractIn this paper, we propose a lattice-based robust distributed source coding system for two correlated sources and provide a detailed performance analysis under the high resolution assumption. It is shown, among other things, that, in the asymptotic regime where: 1) the side distortion approaches 0 and 2) the ratio between the central and side distortions approaches 0, our scheme is capable of achieving the information-theoretic limit of quadratic multiple description coding when the two sources are identical, whereas a variant of the random coding scheme by Chen and Berger with Gaussian codes has a performance loss of 0.5 bits relative to this limit. Dania Elzouki, Sorina Dumitrescu, Jun Chen 0005 |
IEEE Trans. Inf. Theory | 1 |