Randomization of data acquisition and ℓ1-optimization (recognition with compression)

Randomization of data acquisition and ℓ1-optimization (recognition with compression)

A new paradigm for processing signals with sparse representation in some basis is actively developed for some time past. It relies largely on the ideas of measurement randomization and ℓ 1 -optimization. The recent methods of acquisition and representation of the compressed data were christened comp...

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Veröffentlicht in:Automation and remote control 2010, Vol.71 (11), p.2259-2282
Hauptverfasser: Granichin, O. N., Pavlenko, D. V.
Format: Artikel
Sprache:eng
Schlagworte:
CAE) and Design
Calculus of Variations and Optimal Control
Optimization
Computer-Aided Engineering (CAD
Control
Mathematics
Mathematics and Statistics
Mechanical Engineering
Mechatronics
Reviews
Robotics
Systems Theory
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Beschreibung
Zusammenfassung:A new paradigm for processing signals with sparse representation in some basis is actively developed for some time past. It relies largely on the ideas of measurement randomization and ℓ 1 -optimization. The recent methods of acquisition and representation of the compressed data were christened compressive sensing .
ISSN:0005-1179
1608-3032
DOI:10.1134/S0005117910110019