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基于前向多层神经网络的分组码译码器设计
章照止1; 杨义先2; 马晓敏2
1999
Source Publication通信学报
ISSN1000-436X
Volume020Issue:006Pages:1
Abstract把最大相关译码与神经网络神经元的内积特性及吸引域有机地联系起来,连以决定译码码字,阈值设定决定神经元的纠错范围,从而形成一种可用于硬判决及软判决译码的神经译码器,并在理论上证明了此译码器可在DMC信道的纠错能力范围内实现零错误概率硬判决译码,也可实现与最小欧几里德距离译码相当的软判决译码,并能在检错范围内检错。
Language英语
Document Type期刊论文
Identifierhttp://ir.amss.ac.cn/handle/2S8OKBNM/39770
Collection中国科学院数学与系统科学研究院
Affiliation1.中国科学院数学与系统科学研究院
2.北京邮电大学
Recommended Citation
GB/T 7714
章照止,杨义先,马晓敏. 基于前向多层神经网络的分组码译码器设计[J]. 通信学报,1999,020(006):1.
APA 章照止,杨义先,&马晓敏.(1999).基于前向多层神经网络的分组码译码器设计.通信学报,020(006),1.
MLA 章照止,et al."基于前向多层神经网络的分组码译码器设计".通信学报 020.006(1999):1.
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