有限码块长度下的信、信道编码分离

J. Ho, Jin Meng, E. Yang
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引用次数: 2

摘要

本文研究了有限块长度条件下香农分离定理的有效性。在有限块长度分析得出的信源率和信道块错误率之间的最佳权衡下,基于联合信源信道编码原理的噪声信道量化器在端到端失真方面优于Lloyd-Max设计的单独量化器。对于标量情况下的二进制对称信道和离散输入无记忆信道的数值结果表明,在有限块长度的情况下,源信道编码的分离不再成立,但联合设计的优势可能会根据系统配置而大或小。
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On separation of source and channel coding in the finite block length regime
This paper investigates the validity of Shannon's separation theorem in the finite block length regime. Under optimal tradeoffs between source rate and channel block error probability obtained from finite block length analysis, noisy channel quantizers based on joint source-channel coding principles are shown to outperform the separate quantizer designed via Lloyd-Max in terms of end-to-end distortion. Numerical results for the scalar case under the binary symmetric channel and discrete-input memoryless channel demonstrate that the separation of source and channel coding no longer holds in the finite block length regime, but the advantages of joint designs may be large or small depending on the system configuration.
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