EDBT 2026 Demo / reviewers in the wild / expert
John S. Richters
dblp:294/4448
· DBLP profile ↗
1ranked-venue papers
1as first author
0since 2021 · last 1965
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Theory 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
1 paper |
Coding theory · 91% Information theory · 9% |
Topics — the 4 heaviest of 4, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Coding theory › error-correcting codes › convolutional codes
burst-correcting convolutional codes |
0.0 | 1 | 1965 | Application of Pareto error statistics to Hagelbarger codes · IEEE Trans. Inf. Theory 1965 |
Coding theory › error-correcting codes
burst error correction |
0.0 | 1 | 1965 | Application of Pareto error statistics to Hagelbarger codes · IEEE Trans. Inf. Theory 1965 |
Coding theory
error-correcting codes |
0.0 | 1 | 1965 | Application of Pareto error statistics to Hagelbarger codes · IEEE Trans. Inf. Theory 1965 |
Information theory › communication channels
channel models |
0.0 | 1 | 1965 | Application of Pareto error statistics to Hagelbarger codes · IEEE Trans. Inf. Theory 1965 |
Methods — techniques the papers use, named apart from their topics
pareto distribution · 0.0asymptotic analysis · 0.0
| Year | Publication | Venue | Position |
|---|---|---|---|
| 1965 | Application of Pareto error statistics to Hagelbarger codesabstractOne statistical model that has been proposed for the generation of errors in telephone circuits consists of errors with successive inter-arrival times drawn independently from a Pareto distribution, resulting in errors that tend to occur in bursts. These error statistics are applied to a class of burst correcting codes due to Hagelbarger, with particular attention to codes capable of correcting very long error bursts. For such codes, asymptotic expressions are derived for the expected number of output errors per data digit error and also the expected number of false corrections per data digit error. These expressions are what one might intuitively expect, indicating that the results obtained here can perhaps be extended to other codes by simple intuitive reasoning. John S. Richters |
IEEE Trans. Inf. Theory | 1 |