关于广义BP在二维通道中如此显著的原因的评论

2007 Information Theory and Applications Workshop Pub Date : 2007-10-22 DOI:10.1109/ITA.2007.4357604

O. Shental, N. Shental, S. Shamai, I. Kanter, A. Weiss, Y. Weiss

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引用次数: 0

摘要

广义信念传播(GBP)算法最近被证明能够以实际准确的方式推断具有记忆的有限状态输入二维高斯信道的后验概率，从而实现对传输符号和香农理论信息率的近最优估计。在本文中，将对英镑的优异表现进行合理化解释。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Comments on Why Generalized BP Serves So Remarkably in 2-D Channels

Generalized belief propagation (GBP) algorithm has been shown recently to infer the a-posteriori probabilities of finite-state input two-dimensional (2D) 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.

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2007 Information Theory and Applications Workshop

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