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Uniformly Reweighted Belief Propagation: A Factor Graph Approach

Henk Wymeersch (Institutionen för signaler och system, Kommunikationssystem) ; Federico Penna ; Vladimir Savic
IEEE International Symposium on Information Theory (2011)
[Konferensbidrag, refereegranskat]

Tree-reweighted belief propagation is a message passing method that has certain advantages compared to traditional belief propagation (BP). However, it fails to outperform BP in a consistent manner, does not lend itself well to distributed implementation, and has not been applied to distributions with higher-order interactions. We propose a method called uniformly-reweighted belief propagation that mitigates these drawbacks. After having shown in previous works that this method can substantially outperform BP in distributed inference with pairwise interaction models, in this paper we extend it to higher-order interactions and apply it to LDPC decoding, leading performance gains over BP.

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Denna post skapades 2011-08-08. Senast ändrad 2016-12-06.
CPL Pubid: 143857


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Institutioner (Chalmers)

Institutionen för signaler och system, Kommunikationssystem (1900-2017)


Informations- och kommunikationsteknik

Chalmers infrastruktur



Denna publikation är ett resultat av följande projekt:

Cooperative Situational Awareness for Wireless Networks (COOPNET) (EC/FP7/258418)