TY - JOUR
T1 - Compressed sensing for networked data
T2 - A different approach to decentralized compression
AU - Haupt, Jarvis
AU - Bajwa, Waheed U.
AU - Rabbat, Michael
AU - Nowak, Robert
PY - 2008/3
Y1 - 2008/3
N2 - A different approach to decentralized compression, compressed sensing for networked data, has been considered and revolves around large-scale distributed sources of data and their storage, transmission and retrieval. The new approach does not require any specific prior signal knowledge and is an effective strategy in each of the situations described above. It can be used to reconstruct compressible or sparse networked data in a variety of practical settings, including general multihop networks and wireless sensor networks. The reason that it is promising is that CS provides universal sampling and decentralized encoding.
AB - A different approach to decentralized compression, compressed sensing for networked data, has been considered and revolves around large-scale distributed sources of data and their storage, transmission and retrieval. The new approach does not require any specific prior signal knowledge and is an effective strategy in each of the situations described above. It can be used to reconstruct compressible or sparse networked data in a variety of practical settings, including general multihop networks and wireless sensor networks. The reason that it is promising is that CS provides universal sampling and decentralized encoding.
UR - http://www.scopus.com/inward/record.url?scp=85032766716&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85032766716&partnerID=8YFLogxK
U2 - 10.1109/MSP.2007.914732
DO - 10.1109/MSP.2007.914732
M3 - Article
AN - SCOPUS:85032766716
VL - 25
SP - 92
EP - 101
JO - IEEE Signal Processing Magazine
JF - IEEE Signal Processing Magazine
SN - 1053-5888
IS - 2
ER -