摘要翻译：
将稀有事件抽样的思想应用于纠错码性能的估计。该思想的实质是通过多点蒙特卡罗方法对信道中的噪声模式进行重要抽样，从而有效地估计出误码率分布的尾部。该思想通过卷积码得到了成功的验证。
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英文标题：
《Testing Error Correcting Codes by Multicanonical Sampling of Rare Events》
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作者：
Yukito Iba and Koji Hukushima
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最新提交年份：
2008
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分类信息：

一级分类：Physics        物理学
二级分类：Disordered Systems and Neural Networks        无序系统与神经网络
分类描述：Glasses and spin glasses; properties of random, aperiodic and quasiperiodic systems; transport in disordered media; localization; phenomena mediated by defects and disorder; neural networks
眼镜和旋转眼镜；随机、非周期和准周期系统的性质；无序介质中的传输；本地化；由缺陷和无序介导的现象；神经网络
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一级分类：Physics        物理学
二级分类：Statistical Mechanics        统计力学
分类描述：Phase transitions, thermodynamics, field theory, non-equilibrium phenomena, renormalization group and scaling, integrable models, turbulence
相变，热力学，场论，非平衡现象，重整化群和标度，可积模型，湍流
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英文摘要：
  The idea of rare event sampling is applied to the estimation of the performance of error-correcting codes. The essence of the idea is importance sampling of the pattern of noises in the channel by Multicanonical Monte Carlo, which enables efficient estimation of tails of the distribution of bit error rate. The idea is successfully tested with a convolutional code.
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PDF链接：
https://arxiv.org/pdf/709.2578