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Open AccessFeature PaperReview

A View of Information-Estimation Relations in Gaussian Networks

1
Department of Electrical Engineering, Princeton University, Princeton, NJ 08544, USA
2
Department of Electrical Engineering, Technion-Israel Institute of Technology, Haifa 32000, Israel
*
Authors to whom correspondence should be addressed.
Entropy 2017, 19(8), 409; https://doi.org/10.3390/e19080409
Received: 31 May 2017 / Revised: 31 July 2017 / Accepted: 1 August 2017 / Published: 9 August 2017
(This article belongs to the Special Issue Network Information Theory)
Relations between estimation and information measures have received considerable attention from the information theory community. One of the most notable such relationships is the I-MMSE identity of Guo, Shamai and Verdú that connects the mutual information and the minimum mean square error (MMSE). This paper reviews several applications of the I-MMSE relationship to information theoretic problems arising in connection with multi-user channel coding. The goal of this paper is to review the different techniques used on such problems, as well as to emphasize the added-value obtained from the information-estimation point of view. View Full-Text
Keywords: network information theory; estimation theory; I-MMSE network information theory; estimation theory; I-MMSE
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MDPI and ACS Style

Dytso, A.; Bustin, R.; Poor, H.V.; Shamai (Shitz), S. A View of Information-Estimation Relations in Gaussian Networks. Entropy 2017, 19, 409.

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