Demo Data from EDBT 2026 / reviewers in the wild / expert
Timothy J. Lunn
dblp:26/2805
· DBLP profile ↗
1ranked-venue papers
0as first author
0since 2021 · last 1997
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Theory of computation · 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 3 heaviest of 3, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Coding theory › error-correcting codes › error probability analysis
bit-error probability |
0.0 | 1 | 1997 | Block-coded modulation optimized for finite error rate on the white Gaussian noise channel · IEEE Trans. Inf. Theory 1997 |
Coding theory › error-correcting codes › coded modulation
block-coded modulation |
0.0 | 1 | 1997 | Block-coded modulation optimized for finite error rate on the white Gaussian noise channel · IEEE Trans. Inf. Theory 1997 |
Coding theory
coding gain |
0.0 | 1 | 1997 | Block-coded modulation optimized for finite error rate on the white Gaussian noise channel · IEEE Trans. Inf. Theory 1997 |
Methods — techniques the papers use, named apart from their topics
design procedure · 0.0
| Year | Publication | Venue | Position |
|---|---|---|---|
| 1997 | Block-coded modulation optimized for finite error rate on the white Gaussian noise channelabstractThis correspondence examines the performance of block-coded modulation (BCM) at finite decoded bit error rates (BER). We consider the optimum geometric structure to optimize coding gain at finite BER, rather than asymptotic coding gain. We introduce the concept of the "row BER" and show that this structure may be implemented by a BCM scheme in which the row bit-error rates are equalized. We present a design procedure for such schemes, and show that significant improvements over conventional schemes are possible. Alister Burr, Timothy J. Lunn |
IEEE Trans. Inf. Theory | 2 |