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Versatile and Scalable Cosparse Methods for Physics-Driven Inverse Problems

Bibliographic Data

ID23588031
AuthorsSrđan Kitić (0009-0008-0404-2079, Technicolor (France)), Siouar Bensaid (Laboratoire Traitement du Signal et de l'Image), Laurent Albera (0000-0002-2109-5649, Laboratoire Traitement du Signal et de l'Image), Nancy Bertin (0000-0002-7690-4378, Centre National de la Recherche Scientifique), Rémi Gribonval (0000-0002-9450-8125, Centre National de la Recherche Scientifique, corresponding author)
Year2017
Pages291-332
Publication date2017-01-01
Open AccessYes
TypeCHAPTER
VenueCompressed Sensing and its Applications (SOURCE_BOOK)
PublisherSpringer International Publishing (PUBLISHER • SG)
DOI10.1007/978-3-319-69802-1_10
OpenAlexW2613149101
ISBN9783319698021
LanguageEN
Citations received1
References cited61

Algorithm · Generative grammar · Generative model · Inverse · Inverse problem · Mathematical analysis · Range (aeronautics) · Regularization (linguistics) · Scalability · Underdetermined system · Artificial Intelligence · Computer Science · Mathematics · Numerical methods in inverse problems · Sparse and Compressive Sensing Techniques · Theoretical Computer Science · Ultrasonics and Acoustic Wave Propagation

  • Compressed Sensing and its Applications

    Open Access•Holger Boche, Giuseppe Caire et al.•Compressed Sensing and its…•2017

Citations per year0.11
Citation span2017 - 2017 (1)
Highly citedNo

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