Quantitative inverse scattering with sparseness constraints - The compressive sensing paradigm

Nicola Anselmi 1 L. Poli Giacomo Oliveri 1 Andrea Massa 2, 3
1 ELEDIA Research Group - Department of Information Engineering and Computer Science
2 Division Signaux - L2S
L2S - Laboratoire des signaux et systèmes : 1289
3 L2S - Laboratoire des signaux et systèmes
Document type :
Conference papers
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 : Thursday, April 5, 2018 - 12:30:23 PM

Identifiers

  • HAL Id : hal-01299186, version 1

Collections

CENTRALESUPELEC | SUP_LSS | SUP_SIGNAUX | 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⟩

Export

BibTeX TEI DC DCterms EndNote

Share

Metrics

Record views

184

Contact

support.ccsd.cnrs.fr
hal.support@ccsd.cnrs.fr
Logo CCSD