The Gaussian CEO Problem for Scalar Sources With Arbitrary Memory

In this paper, we consider the achievable sum-rate/distortion tradeoff for the Gaussian central estimation officer (CEO) problem with a scalar source having arbitrary memory. We describe how the arbitrary memory problem can be fully characterized by using known results for the vector CEO problem, an...

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Veröffentlicht in:	IEEE transactions on information theory Jg. 63; H. 7; S. 4286 - 4297
Hauptverfasser:	Jie Chen, Feng Jiang, Swindlehurst, A. Lee
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	New York IEEE 01.07.2017 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:	CEO problem Channel coding decentralized estimation Distortion Estimation Euler-Lagrange equation Gaussian sources with memory Multiterminal source coding Noise measurement Rate-distortion Source coding variational calculus
ISSN:	0018-9448, 1557-9654
Online-Zugang:	Volltext
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