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Compressed Sensing for Networked Data

Jarvis HauptNational University of Science and Technology, Islamabad, PakistanWaheed U. BajwaMcGill University, CanadaMichael RabbatUniversity of Wisconsin, Madison, USARobert D. NowakUniversity of Wisconsin, Madison, USA
2008en
ABI

Annotatsiya

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.

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