Demo Data from EDBT 2026 / reviewers in the wild / expert
Elad Kaminer
dblp:140/7087
· DBLP profile ↗
1ranked-venue papers
1as first author
0since 2021 · last 2013
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Computer networks · 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.
| Computer networks
1 paper |
Physical-layer communications · 100% |
Topics — the 5 heaviest of 5, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Physical-layer communications
channel coding |
0.2 | 1 | 2013 | Iterative Decoding of Coded THP with Quantized Output · IEEE Trans. Commun. 2013 |
Physical-layer communications › channel coding › decoding algorithms
iterative decoding |
0.2 | 1 | 2013 | Iterative Decoding of Coded THP with Quantized Output · IEEE Trans. Commun. 2013 |
Physical-layer communications › channel coding › error control coding › block codes
LDPC codes |
0.2 | 1 | 2013 | Iterative Decoding of Coded THP with Quantized Output · IEEE Trans. Commun. 2013 |
Physical-layer communications › MIMO
precoding |
0.2 | 1 | 2013 | Iterative Decoding of Coded THP with Quantized Output · IEEE Trans. Commun. 2013 |
Physical-layer communications › MIMO › precoding
tomlinson-harashima precoding |
0.2 | 1 | 2013 | Iterative Decoding of Coded THP with Quantized Output · IEEE Trans. Commun. 2013 |
Methods — techniques the papers use, named apart from their topics
turbo equalization · 0.2MAP estimation · 0.2
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2013 | Iterative Decoding of Coded THP with Quantized OutputabstractThis paper proposes an improved receiver for the Tomlinson-Harashima precoder (THP). In this paper we demonstrate that most of the capacity loss associated with conventional THP is due to the suboptimal receiver, which is a simple modulo operation. We then demonstrate how this loss can can be avoided with the optimization of the receiver. In the suboptimal receiver the modulo operation ignores the dependency between the implicitly added sequence of symbols removed by it. We then implement a THP with quantized outputs. The quantized outputs enable to implement a Maximum A-Posteriori Probability (MAP) receiver that exploits the dependency between the received symbols. The MAP receiver is named Enhanced MODulo operation (EMOD), and operates as an inner decoder within an iterative scheme, either with outer Low Density Parity Check (LDPC) code or outer Turbo Code. Simulation results show considerable gains relative to coded conventional THP, and also relative to the Turbo-Equalizer (TE) (which does not use a precoder in the transmitter). Elad Kaminer, Dan Raphaeli, Yariv Hayoun |
IEEE Trans. Commun. | 1 |