Skip to main content

A View of Information-Estimation Relations in Gaussian Networks

Author(s): Dytso, Alex; Bustin, Ronit; Poor, H; Shamai (Shitz), Shlomo

Download
To refer to this page use: http://arks.princeton.edu/ark:/88435/pr1zk55m5d
Full metadata record
DC FieldValueLanguage
dc.contributor.authorDytso, Alex-
dc.contributor.authorBustin, Ronit-
dc.contributor.authorPoor, H-
dc.contributor.authorShamai (Shitz), Shlomo-
dc.date.accessioned2024-02-04T02:41:19Z-
dc.date.available2024-02-04T02:41:19Z-
dc.identifier.citationDytso, Alex, Bustin, Ronit, Poor, H, Shamai (Shitz), Shlomo. (A View of Information-Estimation Relations in Gaussian Networks. Entropy, 19 (8), 409 - 409. doi:10.3390/e19080409en_US
dc.identifier.urihttp://arks.princeton.edu/ark:/88435/pr1zk55m5d-
dc.description.abstractRelations 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 VerdĂș 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.en_US
dc.languageenen_US
dc.language.isoen_USen_US
dc.relation.ispartofEntropyen_US
dc.rightsFinal published version. This is an open access article.en_US
dc.titleA View of Information-Estimation Relations in Gaussian Networksen_US
dc.typeJournal Articleen_US
dc.identifier.doidoi:10.3390/e19080409-
dc.date.eissued2017-08-09en_US
dc.identifier.eissn1099-4300-
pu.type.symplectichttp://www.symplectic.co.uk/publications/atom-terms/1.0/journal-articleen_US

Files in This Item:
File Description SizeFormat 
A_View_of_Information-Estimati.pdf1.87 MBAdobe PDFView/Download


Items in OAR@Princeton are protected by copyright, with all rights reserved, unless otherwise indicated.