Kristine Bell, SAM TC
Geert Leus, SPCOM TC
Ali H. Sayed, SPTM TC
There is growing interest in network distributed signal processing algorithms and applications, such as distributed environmental sensing, detection and estimation, filtering, adaptive networks, learning, motion estimation and scene analysis, to name a few. Beyond local computation, network distributed signal processing algorithms must also take into account the constraints and opportunities in the underlying communication network (e.g., time-varying link capacities, battery power, etc). Whereas most current research in the area is focused on sensor networks, there are emerging applications that will operate over hybrid heterogeneous networks. This symposium includes tutorials and sessions that cover recent developments in network distributed signal processing, filtering, estimation, and adaptation.
OT-2: Network Distributed Signal Processing
Chair: Ali H. Sayed, University of California, Los Angeles
Title: Distributed Signal Processing and Optimization in an Energy Constrained Sensor Network
Speaker: Zhi-Quan (Tom) Luo
Title: Distributed Signal Processing and Communication for Sensor Networks
Speaker: Martin Vetterli
Title: Sensor Networking for Detection: From Distributed Detection to Energy Savings and MIMO Radar
Speaker: Rick Blum
T-6: Distributed Adaptive Filters and Networks
Presented by Ali H. Sayed
T-7: Distributed Processing in Smart Cameras
Presented by Hamid Aghajan, Andrea Cavallaro
T-10: Distributed Source Coding: Theory, Code Designs and Applications
Presented by Vladimir Stankovic, Lina Stankovic, Samuel Cheng
SS-L6: Distributed Signal Processing and Consensus Gossiping
SPCOM-L4: Sensor Networks, Distributed Estimation, and Consensus Averaging I
SPTM-L2: Cooperative Processing over Adaptive Networks
SPTM-L3: Detection and Estimation over Networks
SAM-L2: Sensor Networks II
SPCOM-P7: Sensor Networks, Distributed Estimation, and Consensus Averaging II
SAM-P3: Sensor Networks I