DocumentCode :
1103350
Title :
Compressed Sensing for Networked Data
Author :
Haupt, Jarvis ; Bajwa, Waheed U. ; Rabbat, Michael ; Nowak, Robert
Volume :
25
Issue :
2
fYear :
2008
fDate :
3/1/2008 12:00:00 AM
Firstpage :
92
Lastpage :
101
Abstract :
This article describes a very different approach to the decentralized compression of networked data. Considering a particularly salient aspect of this struggle that revolves around large-scale distributed sources of data and their storage, transmission, and retrieval. The task of transmitting information from one point to another is a common and well-understood exercise. But the problem of efficiently transmitting or sharing information from and among a vast number of distributed nodes remains a great challenge, primarily because we do not yet have well developed theories and tools for distributed signal processing, communications, and information theory in large-scale networked systems.
Keywords :
data compression; distributed processing; wireless sensor networks; compressed sensing; data retrieval; data storage; data transmission; decentralized compression; distributed signal processing; large-scale distributed data sources; large-scale networked systems; networked data; Actuators; Cellular phones; Collaboration; Compressed sensing; Information retrieval; Internet; Large-scale systems; Sensor systems; Source coding; Wireless sensor networks;
fLanguage :
English
Journal_Title :
Signal Processing Magazine, IEEE
Publisher :
ieee
ISSN :
1053-5888
Type :
jour
DOI :
10.1109/MSP.2007.914732
Filename :
4472248
Link To Document :
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