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Compressed Sensing for Networked Data | IEEE Journals & Magazine | IEEE Xplore

Compressed Sensing for Networked Data


Abstract:

This article describes a very different approach to the decentralized compression of networked data. Considering a particularly salient aspect of this struggle that revol...Show More

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.
Published in: IEEE Signal Processing Magazine ( Volume: 25, Issue: 2, March 2008)
Page(s): 92 - 101
Date of Publication: 21 March 2008

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