Treffer: An extremal inequality motivated by multiterminal information-theoretic problems
Title:
An extremal inequality motivated by multiterminal information-theoretic problems
Authors:
Source:
IEEE transactions on information theory. 53(5):1839-1851
Publisher Information:
New York, NY: Institute of Electrical and Electronics Engineers, 2007.
Publication Year:
2007
Physical Description:
print, 20 ref
Original Material:
INIST-CNRS
Subject Terms:
Telecommunications, Télécommunications, Sciences exactes et technologie, Exact sciences and technology, Sciences appliquees, Applied sciences, Telecommunications et theorie de l'information, Telecommunications and information theory, Théorie de l'information, du signal et des communications, Information, signal and communications theory, Théorie de l'information, Information theory, Théorie du signal et des communications, Signal and communications theory, Codage, codes, Coding, codes, Canal gaussien, Gaussian channel, Canal gaussiano, Canal radiodiffusion, Broadcast channels, Codage source, Source coding, Entropie, Entropy, Entropía, Information Fisher, Fisher information, Información Fisher, Théorie information, Information theory, Teoría información, Variable aléatoire, Random variable, Variable aléatoria, Signal source réparti, Distributed source signal, Señal fuente distribuida, Differential entropy, distributed source coding, entropy- power inequality (EPI), vector Gaussian broadcast channel
Document Type:
Fachzeitschrift
Article
File Description:
text
Language:
English
Author Affiliations:
Department of Electrical and Computer Engineering, Texas A&M University, College Station, TX 77843, United States
Department of Electrical and Computer Engineering, University of Illinois at Urbana-Champaign, Urbana, IL 61801, United States
Department of Electrical and Computer Engineering, University of Illinois at Urbana-Champaign, Urbana, IL 61801, United States
ISSN:
0018-9448
Rights:
Copyright 2007 INIST-CNRS
CC BY 4.0
Sauf mention contraire ci-dessus, le contenu de cette notice bibliographique peut être utilisé dans le cadre d’une licence CC BY 4.0 Inist-CNRS / Unless otherwise stated above, the content of this bibliographic record may be used under a CC BY 4.0 licence by Inist-CNRS / A menos que se haya señalado antes, el contenido de este registro bibliográfico puede ser utilizado al amparo de una licencia CC BY 4.0 Inist-CNRS
CC BY 4.0
Sauf mention contraire ci-dessus, le contenu de cette notice bibliographique peut être utilisé dans le cadre d’une licence CC BY 4.0 Inist-CNRS / Unless otherwise stated above, the content of this bibliographic record may be used under a CC BY 4.0 licence by Inist-CNRS / A menos que se haya señalado antes, el contenido de este registro bibliográfico puede ser utilizado al amparo de una licencia CC BY 4.0 Inist-CNRS
Notes:
Telecommunications and information theory
Accession Number:
edscal.18716650
Database:
PASCAL Archive
Weitere Informationen
We prove a new extremal inequality, motivated by the vector Gaussian broadcast channel and the distributed source coding with a single quadratic distortion constraint problems. As a corollary, this inequality yields a generalization of the classical entropy-power inequality (EPI). As another corollary, this inequality sheds insight into maximizing the differential entropy of the sum of two dependent random variables.