Compressed Sensing is a new paradigm for acquiring the compressible signals that arise in many applications. These signals can be approximated using an amount of information much ...
Anna C. Gilbert, Martin J. Strauss, Joel A. Tropp,...
Abstract—This paper analyzes energy characteristics of parallel algorithms executed on scalable multicore processors. Specifically, we provide a methodology for evaluating energ...
— We describe a distributed boundary detection algorithm suitable for use on multi-robot systems with dynamic network topologies. We assume that each robot has access to its loca...
Finding an appropriate data transformation between two schemas has been an important problem. In this paper, assuming that an edit script between original and updated DTDs is avai...
—A new distributed estimation algorithm for tracking using a wireless sensor network is presented. We investigate how to track a time varying signal, noisily sensed by the nodes ...
Alberto Speranzon, Carlo Fischione, Karl Henrik Jo...