EDBT 2026 Demo / reviewers in the wild / expert
H. A. d'Assumpcao
dblp:68/10569
· DBLP profile ↗
1ranked-venue papers
1as first author
0since 2021 · last 1980
—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.
| Computer networks
1 paper |
Physical-layer communications · 100% |
Topics — the 5 heaviest of 5, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Physical-layer communications › beamforming
adaptive beamforming |
0.0 | 1 | 1980 | Some new signal processors for arrays of sensors · IEEE Trans. Inf. Theory 1980 |
Physical-layer communications
beamforming |
0.0 | 1 | 1980 | Some new signal processors for arrays of sensors · IEEE Trans. Inf. Theory 1980 |
Physical-layer communications › signal processing for communications › array signal processing
sensor array processing |
0.0 | 1 | 1980 | Some new signal processors for arrays of sensors · IEEE Trans. Inf. Theory 1980 |
Physical-layer communications
signal processing for communications |
0.0 | 1 | 1980 | Some new signal processors for arrays of sensors · IEEE Trans. Inf. Theory 1980 |
Physical-layer communications
signal strength estimation |
0.0 | 1 | 1980 | Some new signal processors for arrays of sensors · IEEE Trans. Inf. Theory 1980 |
Methods — techniques the papers use, named apart from their topics
numerical algorithm · 0.0estimator derivation · 0.0
| Year | Publication | Venue | Position |
|---|---|---|---|
| 1980 | Some new signal processors for arrays of sensorsabstractThe problem of estimating the strengths of signals arriving at an array of receivers when the arrival directions are known, is addressed. Several new estimators are derived and relationships between them and the conventional and adaptive beamformers are given. Algorithms are provided for numerical solutions for these estimators, with examples using experimental data. The techniques are not confined to sensor-array processing but can be applied to a wide range of other estimation problems. H. A. d'Assumpcao |
IEEE Trans. Inf. Theory | 1 |