H. A. d'Assumpcao

dblp:68/10569 · DBLP profile ↗
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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

TopicWeightPapersLastEvidence papers
Physical-layer communications › beamforming
adaptive beamforming
0.011980
Some new signal processors for arrays of sensors · IEEE Trans. Inf. Theory 1980
Physical-layer communications
beamforming
0.011980
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
0.011980
Some new signal processors for arrays of sensors · IEEE Trans. Inf. Theory 1980
Physical-layer communications
signal processing for communications
0.011980
Some new signal processors for arrays of sensors · IEEE Trans. Inf. Theory 1980
Physical-layer communications
signal strength estimation
0.011980
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
YearPublicationVenuePosition
1980 Some new signal processors for arrays of sensors
abstract
The 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. Theory1