Vector Gaussian Multiterminal Source Coding

We derive an outer bound of the rate region of the vector Gaussian L -terminal CEO problem by establishing a lower bound on each supporting hyperplane of the rate region. To this end, we prove a new extremal inequality by exploiting the connection between differential entropy and Fisher information...

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Veröffentlicht in:	IEEE transactions on information theory Jg. 60; H. 9; S. 5533 - 5552
Hauptverfasser:	Wang, Jia, Chen, Jun
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	New York, NY IEEE 01.09.2014 Institute of Electrical and Electronics Engineers The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:	Applied sciences Coding, codes Covariance matrices Entropy Estimating techniques Exact sciences and technology Information theory Information, signal and communications theory Limiting Nickel Normal distribution Signal and communications theory Source coding Telecommunications and information theory Upper bound Vectors extremal inequality CEO problem multiterminal source coding Borsuk¿s theorem MMSE Fisher information Lower bound High resolution Source coding Entropy Borsuk's theorem Hyperplane Mean square error
ISSN:	0018-9448, 1557-9654
Online-Zugang:	Volltext
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