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Communication / Telecommunications engineering / Cybernetics / Information Age / Channel capacity / Mutual information / Additive white Gaussian noise / Low-density parity-check code / Binary symmetric channel / Information theory / Information / Coding theory


Estimation-Theoretic Representation of Mutual Information Daniel P. Palomar and Sergio Verd´ u Department of Electrical Engineering Princeton University
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Document Date: 2005-11-15 11:21:06

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Washington / DC / San Francisco / Helsinki / San Antonio / Adelaide / Baltimore / /

Company

U.S. Army Research Laboratory / /

Country

United States / Australia / Sweden / Finland / Spain / /

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Facility

John Hopkins University / U.S. Army Research Laboratory / Link¨oping University / /

IndustryTerm

computational applications / basic belief-propagation algorithm / forward-backward algorithm / belief-propagation algorithms / sumproduct algorithm / message-passing algorithms / sum-product algorithm / message-passing algorithm / universal algorithms / belief propagation algorithm / analytical applications / /

NaturalFeature

Binary Symmetric Channel / Discrete Memoryless Channel / Binary Erasure Channel / Poisson channel / Markov channel / /

Organization

Link¨oping University / United States Army / John Hopkins University / U.S. Government / U.S. National Science Foundation / Department of Electrical Engineering Princeton University Engineering Quadrangle / International Criminal Court / Ministry of Education / /

Person

Sergio Verd / Daniel P. Palomar / Don Quixote de La Mancha / /

Position

typist / General / /

ProgrammingLanguage

R / /

ProvinceOrState

Maryland / /

Technology

basic belief-propagation algorithm / sum-product algorithm / BCJR algorithm / message-passing algorithm / Monte Carlo algorithm / universal algorithms / belief propagation algorithm / message-passing algorithms / pdf / sumproduct algorithm / belief-propagation algorithms / forward-backward algorithm / estimated using the sum-product algorithm / /

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