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Compression with actions

descriptionPublicationkeyboard_double_arrow_right Article , Preprint 01 Sep 2011Embargo end date: 01 Jan 2012Publisher:IEEEJournal:2011 49th Annual Allerton Conference on Communication, Control, and Computing (Allerton)

Authors: Tsachy Weissman; Lei Zhao; Yeow-Khiang Chia;

doi: 10.1109/allerton.2011.6120164 , 10.1109/tit.2013.2293339 , 10.48550/arxiv.1204.2331

arXiv: http://arxiv.org/abs/1204.2331

Compression with actions

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Abstract

We consider the setting where actions can be used to modify a state sequence before compression. The minimum rate needed to losslessly describe the optimal modified sequence is characterized when the state sequence is either non-causally or causally available at the action encoder. The achievability is closely related to the optimal channel coding strategy for channel with states. We also extend the analysis to the the lossy case.

11 pages, 6 figures

Related Organizations

Stanford University
United States

Keywords

FOS: Computer and information sciences, Computer Science - Information Theory, Information Theory (cs.IT)

Impact byBIP!

	citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	9
	popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.	Average
	influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	Average
	impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.	Top 10%