Demo Data from EDBT 2026 / reviewers in the wild / expert
Ann M. Boehmer
dblp:134/3680
· DBLP profile ↗
1ranked-venue papers
1as first author
0since 2021 · last 1967
—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 · 75% Combinatorics and discrete mathematics · 25% |
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 › q-ary codes
binary codes |
0.0 | 1 | 1967 | Binary pulse compression codes · IEEE Trans. Inf. Theory 1967 |
Combinatorics and discrete mathematics › combinatorial design
difference sets |
0.0 | 1 | 1967 | Binary pulse compression codes · IEEE Trans. Inf. Theory 1967 |
Coding theory › sequences › sequence design › correlation properties
periodic correlation |
0.0 | 1 | 1967 | Binary pulse compression codes · IEEE Trans. Inf. Theory 1967 |
Coding theory › sequences › sequence design
pulse compression codes |
0.0 | 1 | 1967 | Binary pulse compression codes · IEEE Trans. Inf. Theory 1967 |
Methods — techniques the papers use, named apart from their topics
residue class construction · 0.0
| Year | Publication | Venue | Position |
|---|---|---|---|
| 1967 | Binary pulse compression codesabstractAn analytical technique for generating good binary pulse compression codes is developed. The first step in constructing a code of a given lengthNis to divide all the residues moduloNand less thanNinto residue classes. A code digita(i)=\pm 1is assigned to all members,i, of certain of these classes anda(i)=-1toNand all members,i, of the remaining classes. Many of these divisions resulted in difference sets and corresponding binary codes with single-level periodic code correlations. Other divisions resulted in two-level periodic code correlations. In order for a binary pulse compression code to have low autocorrelation sidelobes, its periodic correlation sidelobes must be low. Therefore, codes with low periodic correlations were sought. Good binary codes for lengths just above100digits down to lengths near10digits were found. Several of them are known to be optimum codes. When programmed on an IBM7094, this analytical technique produced codes for lengths near100digits as good as, or better than, any previously known binary pulse compression codes in less than15minutes computer time. Ann M. Boehmer |
IEEE Trans. Inf. Theory | 1 |