Classification /detection of signals by sparse approaches: applications to LIDAR, SONAR and onboard cameras

Céline Rabouy; Sébastien Paris; Hervé Glotin

Reports (Research Report) Year : 2013

Classification /detection of signals by sparse approaches: applications to LIDAR, SONAR and onboard cameras

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Céline Rabouy

Function : Author

Sébastien Paris

Function : Author
PersonId : 758773
ORCID : 0000-0003-1814-7679

Laboratoire Interdisciplinaire Carnot de Bourgogne

Institut Jean Lamour

Hervé Glotin

Function : Author
PersonId : 181213
IdHAL : herve-glotin
IdRef : 112112501

Laboratoire des Sciences de l'Information et des Systèmes

Abstract

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Domains

Computer Science [cs] Engineering Sciences [physics] Automatic Engineering Sciences [physics] Signal and Image processing

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https://hal-amu.archives-ouvertes.fr/hal-01488788

Submitted on : Monday, March 13, 2017-11:55:21 PM

Last modification on : Friday, March 24, 2023-2:53:04 PM

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hal-01488788 , version 1 (13-03-2017)

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HAL Id : hal-01488788 , version 1

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Céline Rabouy, Sébastien Paris, Hervé Glotin. Classification /detection of signals by sparse approaches: applications to LIDAR, SONAR and onboard cameras. [Rapport de recherche] 20 pages, DGA. 2013. ⟨hal-01488788⟩

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Classification /detection of signals by sparse approaches: applications to LIDAR, SONAR and onboard cameras

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