TMTSP-P7.1
OPTIMAL REDUCED RANK MODELING FOR GENERAL NOISE USING NULLSPACE ESTIMATION
Mats Viberg, Blekinge Institute of Technology, Sweden; Tomas McKelvey, Chalmers University of Technology, Sweden
Session:
TMTSP-P7: Sparsity and optimization Poster
Track:
TMTSP - Theoretical and Methodological Trends in Signal Processing
Location:
Poster Area C
Presentation Time:
Fri, 12 Sep, 10:20 - 12:00 Italy Time (UTC +2)
Session Co-Chairs:
Petr Tichavsky, Institute of Information Theory and Automation of the CAS and MARIA ELENA DOMINGUEZ JIMENEZ, UNIVERSIDAD POLITÉCNICA DE MADRID
Presentation
Discussion
Resources
No resources available.
Session TMTSP-P7
TMTSP-P7.1: OPTIMAL REDUCED RANK MODELING FOR GENERAL NOISE USING NULLSPACE ESTIMATION
Mats Viberg, Blekinge Institute of Technology, Sweden; Tomas McKelvey, Chalmers University of Technology, Sweden
TMTSP-P7.2: UNIVERSAL SAMPLING SCHEMES FOR SPARSE SIGNAL RECOVERY VIA DISCRETE SINE TRANSFORM TYPE-I EVEN
MARIA ELENA DOMINGUEZ JIMENEZ, UNIVERSIDAD POLITÉCNICA DE MADRID, Spain
TMTSP-P7.3: Multivector Reduced-set Matching Pursuit (MRMP): A Low-Complexity Approach for Joint Sparse Recovery with Virtual Data Synthesis
Hadj Abdelkader BENZATER, Djamal TEGUIG, Hamza zeraoula, Necerreddine LASSAMI, ECOLE MILITAIRE POLYTECHNIQUE, Algeria
TMTSP-P7.4: Box-constrained L0 Bregman-relaxations
Mhamed Essafri, IRIT, INP Toulouse, France; Luca Calatroni, MaLGa, DIBRIS, Universit`a di Genova, MMS, Istituto Italiano di Tecnologia, Genoa, Italy., Italy; Emmanuel Soubies, CNRS, France
TMTSP-P7.5: TRIDENT: A TRIMODEL WITH SPARSE DICTIONARY ENCODING TECHNIQUE APPLIED TO RINGING STRIPE ARTIFACT REMOVAL FROM MEDICAL X-RAY IMAGES
Matthieu Chancel, Hacheme Ayasso, Michel Desvignes, Université Grenoble Alpes, CNRS, Grenoble INP, France; Jean-Michel Vignolle, TRIXELL, France; Eric Lespessailles, Centre Hospitalier Universitaire Régional d'Orléans, France
TMTSP-P7.6: UNLIMITED SENSING WITH DICTIONARY SPARSITY
Morris-Luca Kühmeier, Karin Schnass, Universität Innsbruck, Austria; Ayush Bhandari, Imperial College London, United Kingdom
TMTSP-P7.7: VARIABLE SMOOTHING ALGORITHM FOR INNER-LOOP-FREE DC COMPOSITE OPTIMIZATIONS
Kumataro Yazawa, Keita Kume, Isao Yamada, Institute of Science Tokyo, Japan
TMTSP-P7.8: Stochastic Block-Iterative Parallel Subgradient Projections Method with Super Relaxations
Patrick L. Combettes, Javier I. Madariaga, NC State University, United States
TMTSP-P7.9: PROVABLE ALGORITHMS FOR MULTI-REFERENCE ALIGNMENT OVER SO(2)
Gil Drozatz, Tamir Bendory, Nir Sharon, Tel Aviv University, Israel
TMTSP-P7.10: Optimizing the Order of Modes in Tensor Train Decomposition
Petr Tichavsky, Institute of Information Theory and Automation of the CAS, Czech Republic; Ondrej Straka, University of West Bohemia, Czech Republic