SPTM-L1: Bayesian Signal Processing
Oral
Wed, 6 May, 09:00 - 11:00
Location: Room 124+125
Session Type: Oral
Track: Signal Processing Theory and Methods [TM]
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Wed, 6 May, 09:00 - 09:20

SPTM-L1.1: A SCALED POISSON BAYESIAN MODEL FOR VIRAL EPIDEMIC MONITORING
Barbara Pascal, Nantes Université, Ecole Centrale Nantes, CNRS, France; Patrice Abry, CNRS, ENS Lyon, France; Juliette Chevallier, INSA Toulouse, Université de Toulouse, France; Gersende Fort, CNRS, Université de Toulouse, France
Wed, 6 May, 09:20 - 09:40

SPTM-L1.2: Bayesian Uncertainty-Aware MRI Reconstruction
Ahmed Karam Eldaly, University of Exeter, United Kingdom of Great Britain and Northern Ireland; Matteo Figini, Daniel C. Alexander, University College London, United Kingdom of Great Britain and Northern Ireland
Wed, 6 May, 09:40 - 10:00

SPTM-L1.3: Recursive state estimation via approximate modal paths
Filip Tronarp, Lund University, Sweden
Wed, 6 May, 10:00 - 10:20

SPTM-L1.4: BAYESIAN SIGNAL SEPARATION VIA PLUG-AND-PLAY DIFFUSION-WITHIN-GIBBS SAMPLING
Yi Zhang, Rui Guo, Yonina Eldar, Weizmann Institute of Science, Israel
Wed, 6 May, 10:20 - 10:40

SPTM-L1.5: BOATT: UNIFIED BAYESIAN ONLINE TRACKING AND ADAPTATION FOR DYNAMIC TENSOR STREAMS
Zikun Quan, University College London, United Kingdom of Great Britain and Northern Ireland; Weilin Zhou, Nanjing Tech University, China
Wed, 6 May, 10:40 - 11:00

SPTM-L1.6: A NOVEL BAYESIAN EM-LIKE ALGORITHM FOR FAST COMPTON CAMERA IMAGING
Nhan Le, Hichem Snoussi, Troyes University of Technology, France