Methods for Distributed Compressed Sensing

Methods for Distributed Compressed Sensing

Blog Article

Compressed sensing is a thriving research field covering a class of problems where a large sparse signal is reconstructed from hellcat spark plugs a few random measurements.In the presence of several sensor nodes measuring correlated sparse signals, improvements in terms of recovery quality or the requirement for misbhv tank top a fewer number of local measurements can be expected if the nodes cooperate.In this paper, we provide an overview of the current literature regarding distributed compressed sensing; in particular, we discuss aspects of network topologies, signal models and recovery algorithms.