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首页> 外文期刊>IEEE Signal Processing Magazine >Compressed Sensing for Networked Data [A different approach to decentralized compression]
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Compressed Sensing for Networked Data [A different approach to decentralized compression]

机译:网络数据的压缩感知[分散式压缩的另一种方法]

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摘要

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.
机译:本文介绍了一种非常不同的方法来对网络数据进行分散压缩。考虑到这一斗争的一个特别突出的方面,那就是围绕大规模分布式数据源及其存储,传输和检索。从一个点到另一个点传输信息的任务是一项常见且容易理解的练习。但是,从大量的分布式节点之间有效地传输或共享信息的问题仍然是一个巨大的挑战,这主要是因为我们还没有用于大规模联网的分布式信号处理,通信和信息论的完善的理论和工具。系统。

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