SPMuS_L5: Distributed Signal Processing |
| Session Type: Lecture |
| Time: Friday, September 2, 11:00 - 12:40 |
| Location: Adriatic |
| Session Chair: Stefan Vlaski, Imperial College London |
| SPMuS_L5.1: IMPROVED TRACKING FOR DISTRIBUTED SIGNAL FUSION OPTIMIZATION IN A FULLY-CONNECTED WIRELESS SENSOR NETWORK |
| Cem Ates Musluoglu, Marc Moonen, Alexander Bertrand, KU Leuven, Belgium |
| SPMuS_L5.2: DISTRIBUTED SPARSE OPTIMIZATION BASED ON MINIMAX CONCAVE AND CONSENSUS PROMOTING PENALTIES: TOWARDS GLOBAL OPTIMALITY |
| Kei Komuro, Masahiro Yukawa, Keio University, Japan; Renato Cavalcante, Heinrich Hertz Institute, Germany |
| SPMuS_L5.3: ON OBSERVABILITY AND OPTIMAL GAIN DESIGN FOR DISTRIBUTED LINEAR FILTERING AND PREDICTION |
| Subhro Das, IBM Research, United States |
| SPMuS_L5.4: FINITE BIT QUANTIZATION FOR DECENTRALIZED LEARNING UNDER SUBSPACE CONSTRAINTS |
| Roula Nassif, Marc Antonini, Université Côte d'Azur, France; Stefan Vlaski, Imperial College London, United Kingdom; Marco Carpentiero, Vincenzo Matta, University of Salerno, Italy; Ali Sayed, Ecole Polytechnique Fédérale de Lausanne, Switzerland |
| SPMuS_L5.5: RELATIVE KINEMATICS ESTIMATION USING ACCELEROMETER MEASUREMENTS |
| Anurodh Mishra, Raj Thilak Rajan, Delft University of Technology, Netherlands |