Demo Data from VLDB 2026 / reviewers in the wild / expert
Dennis D. Cox
dblp:25/3625
· DBLP profile ↗
2ranked-venue papers
1as first author
0since 2021 · last 2004
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Systems, architecture and hardware · 1 · 1 first-authorTheory 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.
| Computer networks
1 paper |
Physical-layer communications · 100% |
Topics — the 2 heaviest of 2, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Physical-layer communications › signal processing for communications › statistical signal processing › estimation theory
phase estimation |
0.0 | 1 | 1980 | Modulo-2 Pi phase sequence estimation (Corresp.) · IEEE Trans. Inf. Theory 1980 |
Physical-layer communications › synchronization › phase synchronization
phase tracking |
0.0 | 1 | 1980 | Modulo-2 Pi phase sequence estimation (Corresp.) · IEEE Trans. Inf. Theory 1980 |
Methods — techniques the papers use, named apart from their topics
random walk on circle · 0.0nonlinear filtering · 0.0
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2004 | On the asymptotically stochastic computational modeling of microstructures
Dennis D. Cox, Petr Kloucek, Daniel R. Reynolds |
Future Gener. Comput. Syst. | 1 |
| 1980 | Modulo-2 Pi phase sequence estimation (Corresp.)abstractThe probabilistic evolution of random walk on the circle is studied, and the results are used to derive a maximum {\em a posteriori} probability (MAP) sequence estimator for phase. The sequence estimator is a Viterbi tracker for tracking phase on a finite-dimensional grid in[-\pi,\pi). The algorithm is shown to provide a convenient method for obtaining fixed-lag phase estimates. Performance characteristics are presented and compared with several published nonlinear filtering algorithms. Louis L. Scharf, Dennis D. Cox, C. Johan Masreliez |
IEEE Trans. Inf. Theory | 2 |