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Conference papers
Quantitative inverse scattering with sparseness constraints - The compressive sensing paradigm
Nicola Anselmi 1
Author
L. Poli
Author
Giacomo Oliveri 1
Mail :
Author IdHAL : oliveri-giacomo ResearcherId : http://www.researcherid.com/rid/F-1030-2011 ORCID : https://orcid.org/0000-0002-5238-358X
Andrea Massa 2, 3
Mail :
Author IdHAL : andrea-massa ResearcherId : http://www.researcherid.com/rid/F-3276-2013
1
ELEDIA Research Group - Department of Information Engineering and Computer Science (Via Sommarive 14, 38050 Trento, Italy - Italy)
- University of Trento [Trento] (via Calepina, 14 - I-38122 Trento - Italy)
2
Division Signaux - L2S (France)
- L2S - Laboratoire des signaux et systèmes : 1289 (Plateau de Moulon 3 rue Joliot Curie 91192 GIF SUR YVETTE CEDEX - France)
- CNRS - Centre National de la Recherche Scientifique (France)
- CentraleSupélec (3, rue Joliot Curie, Plateau de Moulon, 91192 GIF-SUR-YVETTE Cedex - France)
- UP11 - Université Paris-Sud - Paris 11 (Bâtiment 300 - 91405 Orsay cedex - France)
3
L2S - Laboratoire des signaux et systèmes (Plateau de Moulon 3 rue Joliot Curie 91192 GIF SUR YVETTE CEDEX - France)
- CNRS - Centre National de la Recherche Scientifique (France)
- CentraleSupélec (3, rue Joliot Curie, Plateau de Moulon, 91192 GIF-SUR-YVETTE Cedex - France)
- UP11 - Université Paris-Sud - Paris 11 (Bâtiment 300 - 91405 Orsay cedex - France)
Domain :
Complete list of metadatas
https://hal-centralesupelec.archives-ouvertes.fr/hal-01299186
Contributor : Myriam Baverel <>
Submitted on : Thursday, April 7, 2016 - 12:17:57 PM
Last modification on : Wednesday, April 8, 2020 - 4:01:54 PM
Contributor : Myriam Baverel <>
Submitted on : Thursday, April 7, 2016 - 12:17:57 PM
Last modification on : Wednesday, April 8, 2020 - 4:01:54 PM
Identifiers
- HAL Id : hal-01299186, version 1
Collections
CENTRALESUPELEC | SUP_LSS | SUP_SIGNAUX | CNRS | L2S | UNIV-PARIS-SACLAY
Citation
Nicola Anselmi, L. Poli, Giacomo Oliveri, Andrea Massa. Quantitative inverse scattering with sparseness constraints - The compressive sensing paradigm. the 9th International Conference on Computational Physics , Jan 2015, Singapore, Singapore. ⟨hal-01299186⟩
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