M1.R1: Sparse Modeling and Learning Methods
Mon, 15 Dec, 10:20 - 12:00 AST (UTC -4)
Location: Isabela I
Session Type: Lecture
Session Co-Chairs: Shunqiao Sun, The University of Alabama and Henry Arguello, Universidad Industrial de Santander
Track: Sensor Array and Multichannel Signal Processing
Click the to view the manuscript on IEEE Xplore Open Preview
Mon, 15 Dec, 10:20 - 10:40 AST (UTC -4)

M1.R1.1: Fast and Interpretable Sparse Array Reconstruction via Broad Neural Networks for Automotive Radar
Lifan Xu, Yunqiao Hu, Shunqiao Sun, The University of Alabama, United States; Ryan Wu, Binbin Shi, Jun Li, NXP Semiconductors, United States
Mon, 15 Dec, 10:40 - 11:00 AST (UTC -4)

M1.R1.2: OPTIMIZED SPARSE NETWORK COVERAGE VIA L1-NORM MINIMIZATION
Souvik Paul, Lenovo Deutchland GmbH, Germany; Ivan Alexander Morales Sandoval, Giuseppe Thadeu Freitas de Abreu, Constructor University, Germany
Mon, 15 Dec, 11:00 - 11:20 AST (UTC -4)

M1.R1.3: A PRECONDITIONED HESSIAN-LIKE PROXIMAL GRADIENT ALGORITHM FOR SPARSE ML-DOA ESTIMATION
Thomas Aussaguès, Anne Ferréol, Alice Delmer, THALES, France; Pascal Larzabal, SATIE, France
Mon, 15 Dec, 11:20 - 11:40 AST (UTC -4)

M1.R1.4: 3D SEISMIC ACQUISITION DESIGN OPTIMIZATION REGULARIZED BY FWI: A DEEP LEARNING APPROACH
Ana Mantilla-Dulcey, Javier Torres-Quintero, Henry Arguello, Universidad Industrial de Santander, Colombia
Mon, 15 Dec, 11:40 - 12:00 AST (UTC -4)

M1.R1.5: MULTI-AGENT ADAPTIVE SUPER-RESOLUTION SPARSE SOURCE LOCALIZATION FOR ADVECTION-DIFFUSION PROCESSES
Dmitriy Shutin, Victor Scott Prieto Ruiz, Patrick Hinsen, Thomas Wiedemann, German Aerospace Center (DLR), Germany