Demo Data from VLDB 2026 / reviewers in the wild / expert
E. Andreadakis
dblp:134/5825
· DBLP profile ↗
1ranked-venue papers
0as first author
0since 2021 · last 1977
—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 |
Information theory · 100% |
Topics — the 3 heaviest of 3, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Information theory › signal processing › filtering
nonlinear filtering |
0.0 | 1 | 1977 | Exact and approximate filtering in signal detection: An example (Corresp.) · IEEE Trans. Inf. Theory 1977 |
Information theory › hypothesis testing
signal detection |
0.0 | 1 | 1977 | Exact and approximate filtering in signal detection: An example (Corresp.) · IEEE Trans. Inf. Theory 1977 |
Information theory › probability theory
stochastic processes |
0.0 | 1 | 1977 | Exact and approximate filtering in signal detection: An example (Corresp.) · IEEE Trans. Inf. Theory 1977 |
Methods — techniques the papers use, named apart from their topics
simulation · 0.0linear filtering · 0.0innovations approach · 0.0
| Year | Publication | Venue | Position |
|---|---|---|---|
| 1977 | Exact and approximate filtering in signal detection: An example (Corresp.)abstractThe innovations approach in communication theory solves the signal detection problem in terms of a related nonlinear filter. Simulation data is presented which shows that, at least for one example, using the appropriate linear filter instead results in a very small loss of detection power even though the variance of the linear filter is considerably greater than that of the nonlinear one. The results also illuminate the role of "predictable processes" in communication theory. Mark Davis 0001, E. Andreadakis |
IEEE Trans. Inf. Theory | 2 |