Methods for Distributed Compressed Sensing
2014 (English)In: Journal of Sensor and Actuator Networks, ISSN 2224-2708, Vol. 3, no 1, 1-25 p.Article in journal (Refereed) Published
Compressed sensing is a thriving research field covering a class of problems where a large sparse signal is reconstructed from 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 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.
Place, publisher, year, edition, pages
2014. Vol. 3, no 1, 1-25 p.
distributed compressed sensing, distributed greedy pursuit, greedy algorithms
Signal Processing Communication Systems Telecommunications
IdentifiersURN: urn:nbn:se:kth:diva-137057DOI: 10.3390/jsan3010001OAI: oai:DiVA.org:kth-137057DiVA: diva2:677783
FunderA multiscale, cross‐disciplinary approach to the study of climate change effect on ecosystem services and biodiversity
QC 201502172013-12-102013-12-102015-02-17Bibliographically approved