SPTM-1.4
Parameter Estimation in Sparse Inverse Problems using Bernoulli-Gaussian Prior
Pierre Barbault, Matthieu Kowalski, Universite Paris Saclay, France; Charles Soussen, CentraleSupelec, France
Session:
Sampling, Multirate, and Digital Signal Processing I
Track:
Signal Processing Theory and Methods
Location:
Gather Area M
Presentation Time:
Sun, 8 May, 20:00 - 20:45 China Time (UTC +8)
Sun, 8 May, 12:00 - 12:45 UTC
Sun, 8 May, 12:00 - 12:45 UTC
Session Chair:
Karl Skretting, University of Stavanger
Session SPTM-1
SPTM-1.1: LEARNING STRUCTURED SPARSITY FOR TIME-FREQUENCY RECONSTRUCTION
Lei Jiang, Haijian Zhang, Lei Yu, Wuhan University, China
SPTM-1.2: UNLIMITED SAMPLING WITH SPARSE OUTLIERS: EXPERIMENTS WITH IMPULSIVE AND JUMP OR RESET NOISE
Ayush Bhandari, Imperial College London, United Kingdom of Great Britain and Northern Ireland
SPTM-1.3: LEARNING APPROACH FOR FAST APPROXIMATE MATRIX FACTORIZATIONS
Haiyan Yu, Zhen Qin, Zhihui Zhu, University of Denver, United States of America
SPTM-1.4: Parameter Estimation in Sparse Inverse Problems using Bernoulli-Gaussian Prior
Pierre Barbault, Matthieu Kowalski, Universite Paris Saclay, France; Charles Soussen, CentraleSupelec, France
SPTM-1.5: Sparse Recovery of Acoustic Waves
Mohamed Mansour, Amazon, United States of America
SPTM-1.6: Nonlinear signal decomposition based on block sparse approximation
El Hadji Diop, University Iba Der Thiam of Thies, Senegal; Karl Skretting, University of Stavanger, Senegal