Demo Data from EDBT 2026 / reviewers in the wild / expert
Mars Davletshin
dblp:247/5914
· DBLP profile ↗
1ranked-venue papers
0as first author
0since 2021 · last 2020
0000-0003-3821-8331ORCID · reported
Domains — the database's venue-derived domains; a paper can count in several
Computer networks · 1
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
1 paper |
Coding theory · 100% |
Topics — the 5 heaviest of 5, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Coding theory
error-correcting codes |
0.4 | 1 | 2020 | Weight Distributions for Successive Cancellation Decoding of Polar Codes · IEEE Trans. Commun. 2020 |
Coding theory › channel coding
polar codes |
0.4 | 1 | 2020 | Weight Distributions for Successive Cancellation Decoding of Polar Codes · IEEE Trans. Commun. 2020 |
Coding theory › channel coding › polar codes
successive cancellation decoding |
0.4 | 1 | 2020 | Weight Distributions for Successive Cancellation Decoding of Polar Codes · IEEE Trans. Commun. 2020 |
Coding theory › error-correcting codes
weight distribution |
0.4 | 1 | 2020 | Weight Distributions for Successive Cancellation Decoding of Polar Codes · IEEE Trans. Commun. 2020 |
Coding theory › error-correcting codes › error probability analysis
decoding error probability |
0.1 | 1 | 2020 | Weight Distributions for Successive Cancellation Decoding of Polar Codes · IEEE Trans. Commun. 2020 |
Methods — techniques the papers use, named apart from their topics
weight distribution analysis · 0.4coset distance analysis · 0.4
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2020 | Weight Distributions for Successive Cancellation Decoding of Polar CodesabstractIn this paper, we derive the exact weight distributions that emerge during each stage of successive cancellation decoding of polar codes. Though we do not compute the distance spectrum of polar codes, the results allow us to get an estimate of the decoding error probability and to show a link between the first nonzero components of the weight distribution and the partial order between the synthetic channels. Also, we establish the minimal distance between two cosets associated with two paths that differ in two positions. This can be regarded as a first step toward analyzing the weight distributions for successive cancellation list decoding. Rina Polyanskaya, Mars Davletshin, Nikita Polyanskii |
IEEE Trans. Commun. | 2 |