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Dania Elzouki

dblp:228/6759 · DBLP profile ↗
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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

TopicWeightPapersLastEvidence papers
Coding theory › source coding › multiterminal source coding
distributed source coding
0.822020
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
0.822020
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
0.412019
Lattice-Based Robust Distributed Source Coding · IEEE Trans. Inf. Theory 2019
Coding theory › source coding › multiterminal source coding
correlated sources
0.112020
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
YearPublicationVenuePosition
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 Coding
abstract
In 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. Theory1