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Backward particle message passing

2015 IEEE 16th International Workshop on Signal Processing Advances in Wireless Communications (SPAWC)(2015)

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Abstract
Particle methods are an established way to represent messages and perform message passing in factor graphs. Despite their common use, there are several cases for which messages are hard to compute, even in linear models. Building on results from Gaussian message passing, we demonstrate how backward particle-based messages can be computed and describe a practical application in the context of fiber-optical communications.
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Key words
backward particle message passing,particle methods,factor graphs,linear models,Gaussian message passing,backward particle-based messages,fiber-optical communications
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