Random-Coding Bounds for Threshold Decoders: Error Exponent and Saddlepoint Approximation

被引：0

作者：

Martinez, Alfonso ^{[1
]}

Guillen i Fabregas, Albert ^{[1
]}

机构：

[1] Univ Cambridge, Dept Engn, Cambridge CB2 1PZ, England

来源：

2011 IEEE INTERNATIONAL SYMPOSIUM ON INFORMATION THEORY PROCEEDINGS (ISIT) | 2011年

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 considers random-coding bounds to the decoding error probability with threshold decoders. A slightly improved version of the dependence-testing bound is derived. A loosening of this bound generates a family of Feinstein-like bounds, which improve on Feinstein's original version. The error exponents of these bounds are determined and simple, yet accurate, saddlepoint approximations to the corresponding error probabilities are derived.

引用

页码：2899 / 2903

页数：5

共 31 条

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