Demo Data from EDBT 2026 / reviewers in the wild / expert
Larry Y. Onotera
dblp:119/4718
· DBLP profile ↗
1ranked-venue papers
0as first author
0since 2021 · last 1995
—ORCID · none
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% | |
| 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
modulation |
0.0 | 1 | 1995 | Coded QAM using a binary convolutional code · IEEE Trans. Commun. 1995 |
Physical-layer communications › modulation
quadrature amplitude modulation |
0.0 | 1 | 1995 | Coded QAM using a binary convolutional code · IEEE Trans. Commun. 1995 |
Coding theory
channel coding |
0.0 | 1 | 1995 | Coded QAM using a binary convolutional code · IEEE Trans. Commun. 1995 |
Coding theory › error-correcting codes
convolutional codes |
0.0 | 1 | 1995 | Coded QAM using a binary convolutional code · IEEE Trans. Commun. 1995 |
Coding theory › error-correcting codes › convolutional codes
punctured convolutional codes |
0.0 | 1 | 1995 | Coded QAM using a binary convolutional code · IEEE Trans. Commun. 1995 |
Methods — techniques the papers use, named apart from their topics
viterbi decoding · 0.0metric quantization · 0.0gray coding · 0.0
| Year | Publication | Venue | Position |
|---|---|---|---|
| 1995 | Coded QAM using a binary convolutional codeabstractAs an alternative to trellis coding, a binary convolutional code is considered for use with such nonbinary modulation schemes as quadrature amplitude modulation (QAM). A Gray code is used to map the encoder output to the M-ary QAM constellation. The focus is on the design of 16-ary coded QAM with a rate 3/4 punctured convolutional code of a constraint length 7. A quantized binary metric generation method is proposed and shown to be suboptimum as compared to the direct use of a M-ary unquantized metric. Impressive coding gains and bandwidth efficiency are shown in comparison with uncoded systems.> Larry Y. Onotera |
IEEE Trans. Commun. | 2 |