Random-coding bounds for threshold decoders: Error exponent and saddlepoint approximation

Random-coding bounds for threshold decoders: Error exponent and saddlepoint approximation
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阈值解码器的随机编码界限:误差指数和鞍点近似

DOI:
10.1109/isit.2011.6034106
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发表时间:
2011
期刊:
2011 IEEE International Symposium on Information Theory Proceedings
影响因子:
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通讯作者:
A. G. Fàbregas
A. G. Fàbregas
中科院分区:
--
文献类型:
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作者:
Alfonso Martinez;A. G. Fàbregas

文献摘要

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本文考虑了随机编码对门限译码器译码错误概率的限制。一个略有改进的版本的依赖测试界。这个界限的松动产生了一个家庭的Feinstein的界限,这改善了Feinstein的原始版本。这些界限的误差指数的确定和简单的,但准确的,鞍点近似相应的误差概率。
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.