Demo Data from VLDB 2026 / reviewers in the wild / expert
Jürgen Willms
dblp:116/2795
· DBLP profile ↗
2ranked-venue papers
1as first author
0since 2021 · last 2016
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Security and privacy · 1Theory 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 · 100% |
Topics — the 3 heaviest of 3, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Coding theory › sequences › pseudorandom sequences
autocorrelation |
0.2 | 1 | 2013 | Autocorrelations of Binary Sequences and Run Structure · IEEE Trans. Inf. Theory 2013 |
Coding theory › sequences
binary sequences |
0.2 | 1 | 2013 | Autocorrelations of Binary Sequences and Run Structure · IEEE Trans. Inf. Theory 2013 |
Coding theory › source coding › lossless compression
run-length coding |
0.2 | 1 | 2013 | Autocorrelations of Binary Sequences and Run Structure · IEEE Trans. Inf. Theory 2013 |
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2016 | Barker sequences of odd length
Kai-Uwe Schmidt, Jürgen Willms |
Des. Codes Cryptogr. | 2 |
| 2013 | Autocorrelations of Binary Sequences and Run StructureabstractWe analyze the connection between the autocorrelation of a binary sequence and its run structure given by the run length encoding. We show that both the periodic and the aperiodic autocorrelation of a binary sequence can be formulated in terms of the run structure. The run structure is given by the consecutive runs of the sequence. Let C = (C0, C1,..., Cn) denote the autocorrelation vector of a binary sequence and Δ the difference operator. We prove that the th component of Δ2(C) can be directly calculated by using the consecutive runs of total length k. In particular, this shows that the th autocorrelation is already determined by all consecutive runs of total length l <; k.In the aperiodic case, we show how the run vector can be efficiently calculated and give a characterization of skew-symmetric sequences in terms of their run length encoding. Jürgen Willms |
IEEE Trans. Inf. Theory | 1 |