Expurgated Joint Source-Channel Coding Bounds and Error Exponents

被引：0
|
作者：
Scarlett, Jonathan [1 ]
Martinez, Alfonso [2 ]
Guillen i Fabregas, Albert [2 ,3 ]
机构：
[1] Ecole Polytech Fed Lausanne, LIONS, Lausanne, Switzerland
[2] Univ Pompeu Fabra, Barcelona, Spain
[3] ICREA, Barcelona, Spain
来源：
2017 IEEE INTERNATIONAL SYMPOSIUM ON INFORMATION THEORY (ISIT) | 2017年
基金：
欧洲研究理事会; 欧盟第七框架计划;
关键词：
D O I：
暂无
中图分类号：
TP301 [理论、方法];
学科分类号：
081202 ;
摘要：
This paper studies expurgated random-coding bounds and error exponents for joint source-channel coding (JSCC). We extend Gallager's expurgation techniques for channel coding to the JSCC setting, and derive a non-asymptotic bound that recovers two exponents derived by Csiszar using the method of types. Our approach has the notable advantage of being directly applicable to channels with continuous alphabets.
引用
收藏
页码：908 / 912
页数：5
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