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Gregorio Godoy

dblp:25/8116 · DBLP profile ↗
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1ranked-venue papers
0as first author
0since 2021 · last 2010
0000-0002-4593-3061ORCID · reported

Domains — the database's venue-derived domains; a paper can count in several

Graphics, computer vision, multimedia, augmented reality and games · 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 · 62% Wireless sensing and localization · 38%

Topics — the 4 heaviest of 4, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Physical-layer communications
signal processing for communications
0.112010
Coarray Synthesis Based on Polynomial Decomposition · IEEE Trans. Image Process. 2010
Wireless sensing and localization › radar signal processing
synthetic-aperture processing
0.112010
Coarray Synthesis Based on Polynomial Decomposition · IEEE Trans. Image Process. 2010
Physical-layer communications › antenna arrays
antenna array design
0.012010
Coarray Synthesis Based on Polynomial Decomposition · IEEE Trans. Image Process. 2010
Physical-layer communications › beamforming › beamforming design
beampattern design
0.012010
Coarray Synthesis Based on Polynomial Decomposition · IEEE Trans. Image Process. 2010

Methods — techniques the papers use, named apart from their topics

sub-aperture weighting · 0.1polynomial decomposition · 0.1
YearPublicationVenuePosition
2010 Coarray Synthesis Based on Polynomial Decomposition
abstract
Synthetic aperture (SA) techniques have been frequently used to reduce the volume and complexity of the imaging systems. A useful tool for designing synthetic aperture configurations is the coarray. This is the virtual aperture that produces in one way the same beam pattern as the SA system in emission and reception. In this correspondence, we propose a new algorithm, based on the polynomial decomposition, that allows to obtain any wanted coarray on a linear array using whatever synthetic aperture configuration. With this fast and simple algorithm, the desired coarray is decomposed into a set of sub-apertures, whose length is determined by the requirements and resources of the system. The result is the set of weights that have to be applied on the sub-apertures to get the desired coarray, and consequently, the wanted beam pattern.
Carlos J. Martin, Oscar Martinez-Graullera, Gregorio Godoy, Luis G. Ullate
IEEE Trans. Image Process.3