Actor-Critic based approaches were among the first to address reinforcement learning in a general setting. Recently, these algorithms have gained renewed interest due to their gen...
Canonical distributed quantization schemes do not scale to large sensor networks due to the exponential decoder storage complexity that they entail. Prior efforts to tackle this i...
In this paper we consider the exploitation of spatial timefrequency distribution (STFD) in multiple-input multipleoutput (MIMO) radar systems. STFD has been found useful in solvin...
Semantic caching augments cached data with a semantic description of the data. These semantic descriptions can be used to improve execution time for similar queries by retrieving ...
Norvald H. Ryeng, Jon Olav Hauglid, Kjetil N&oslas...
Distributed estimation of an unknown signal is a common task in sensor networks. The scenario usually envisioned consists of several nodes, each making an observation correlated wi...