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arXiv 0901.3056cs.ITcs.DMmath.ITmath.PR
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联合概率质量函数分解为奇偶检验相互作用

Factorization of Joint Probability Mass Functions into Parity Check Interactions

M. F. Bayramoglu, A. Özgür Yılmaz

摘要:

我们表明,任何联合概率质量函数(PMF)可以表示为产品的奇偶检验的因素和因素的程度与一些辅助变量的帮助下,如果字母表的大小是适当的定义一个奇偶检验方程。换句话说,只要可以在PMF的字母表上构造有限域,联合PMF的边缘化就等同于软解码任务。在因子图术语中,该权利要求意味着表示这种联合PMF的因子图总是具有等效的Tanner图。我们提供了一个系统的方法的基础上的希尔伯特空间的PMFs和正交投影获得这种分解。

英文摘要:

We show that any joint probability mass function (PMF) can be expressed as a product of parity check factors and factors of degree one with the help of some auxiliary variables, if the alphabet size is appropriate for defining a parity check equation. In other words, marginalization of a joint PMF is equivalent to a soft decoding task as long as a finite field can be constructed over the alphabet of the PMF. In factor graph terminology this claim means that a factor graph representing such a joint PMF always has an equivalent Tanner graph. We provide a systematic method based on the Hilbert space of PMFs and orthogonal projections for obtaining this factorization.

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