@inproceedings{728c7139c12542fc83121a1c1284efbd,
title = "Comments on why generalized BP serves so remarkably in 2-D channels",
abstract = "Generalized belief propagation (GBP) algorithm has been shown recently to infer the a-posteriori probabilities of finite-state input two-dimensional (2-D) Gaussian channels with memory in a practically accurate manner, thus enabling near-optimal estimation of the transmitted symbols and the Shannon-theoretic information rates. In this note, a rationalization of this excellent performance of GBP is addressed.",
author = "Ori Shental and Noam Shental and Shlomo Shamai and Ido Kanter and Weiss, {Anthony J.} and Yair Weiss",
year = "2007",
doi = "10.1109/ITA.2007.4357604",
language = "American English",
isbn = "9780615153148",
series = "2007 Information Theory and Applications Workshop, Conference Proceedings, ITA",
pages = "369",
booktitle = "2007 Information Theory and Applications Workshop, Conference Proceedings, ITA",
note = "2007 Information Theory and Applications Workshop, ITA ; Conference date: 29-01-2007 Through 02-02-2007",
}