Demo Data from EDBT 2026 / reviewers in the wild / expert
Antony J. Weiss
dblp:328/7050
· DBLP profile ↗
1ranked-venue papers
1as first author
0since 2021 · last 1988
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Applied, interdisciplinary, general and emerging computing · 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 |
Mathematical optimization · 50% Information theory · 50% | |
| Computer networks
1 paper |
Physical-layer communications · 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
array processing |
0.0 | 1 | 1988 | Maximum likelihood array processing for the estimation of superimposed signals · Proc. IEEE 1988 |
Mathematical optimization › statistical estimation
maximum likelihood estimation |
0.0 | 1 | 1988 | Maximum likelihood array processing for the estimation of superimposed signals · Proc. IEEE 1988 |
Physical-layer communications
signal processing for communications |
0.0 | 1 | 1988 | Maximum likelihood array processing for the estimation of superimposed signals · Proc. IEEE 1988 |
Methods — techniques the papers use, named apart from their topics
maximum likelihood estimation · 0.0
| Year | Publication | Venue | Position |
|---|---|---|---|
| 1988 | Maximum likelihood array processing for the estimation of superimposed signalsabstractAn efficient algorithm for computing the maximum-likelihood estimates of multiple signals observed by an array of sensors is presented. The algorithm provides estimates of parameters related to the directional patterns of the sources as well as estimates of the location parameters of the sources. Furthermore, the algorithm is equally applicable to wideband sources and narrowband sources and does not require a knowledge of the statistical properties of the signals.> Antony J. Weiss, Alan S. Willsky, Bernard C. Levy |
Proc. IEEE | 1 |