Toward fast reliable communication at rates near capacity with Gaussian noise

Toward fast reliable communication at rates near capacity with Gaussian noise
复制标题

利用高斯噪声以接近容量的速率实现快速可靠的通信

DOI:
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发表时间:
2010
期刊:
2010 IEEE International Symposium on Information Theory
影响因子:
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通讯作者:
Antony Joseph
Antony Joseph
中科院分区:
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文献类型:
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作者:
A. Barron;Antony Joseph

文献摘要

被引文献

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针对加性高斯噪声信道中码字平均功率受限的情况,提出了稀疏叠加码和自适应逐次译码方法。码字是向量子集的线性组合,消息由子集的选择索引。提出了一种可行的译码算法。通信是可靠的错误概率指数小的香农容量以下的所有速率。
For the additive Gaussian noise channel with average codeword power constraint, sparse superposition codes and adaptive successive decoding is developed. Codewords are linear combinations of subsets of vectors, with the message indexed by the choice of subset. A feasible decoding algorithm is presented. Communication is reliable with error probability exponentially small for all rates below the Shannon capacity.