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Statistical physics of random binning

机译:随机装箱的统计物理学

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摘要

We consider the model of random binning and finite-temperature (FT) decoding for Slepian-Wolf (SW) codes, from a statistical-mechanical perspective. While ordinary random channel coding is intimately related to the random energy model (REM) in statistical mechanics, it turns out that random binning (for SW coding) is analogous to another, related statistical mechanical model, which we call the random dilution model (RDM). We use the latter analogy to characterize phase transitions pertaining to finite-temperature SW decoding, which are somewhat similar, but not identical, to those of FT channel decoding. We then provide the exact random coding exponent of the bit error rate (BER) as a function of the rate and the decoding temperature, and discuss its properties. Finally, a few modifications and extensions are outlined.
机译:我们从统计-机械的角度考虑Slepian-Wolf(SW)码的随机装仓和有限温度(FT)解码模型。尽管普通随机通道编码在统计力学上与随机能量模型(REM)密切相关,但事实证明,随机装仓(用于SW编码)类似于另一个相关的统计力学模型,我们称之为随机稀释模型(RDM) )。我们使用后一种类比来描述与有限温度SW解码有关的相变,这些相变与FT通道解码的相变有些相似,但不完全相同。然后,我们提供误码率(BER)的精确随机编码指数,作为误码率和解码温度的函数,并讨论其特性。最后,概述了一些修改和扩展。

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