.png){kind=icon}
返回
Equalization with decision delay estimation using recurrent neural networks
.png){kind=icon}
PRE
AI
DOI：10.1016/j.advengsoft.2005.01.011.png)
.png){kind=icon}
原文求助.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
In this paper, we propose a new recursive classifier based on a recurrent neural network. A supervised algorithm is employed to estimate the classifier parameters. The proposed classifier is used to form a non-linear Decision Feedback Equalizer (DFE) for communication channels. A new procedure allowing the estimation of the decision delay is also presented so that the classifier parameters and the decision delay are estimated at the same time. This new DFE leads to suitable equalization performances even in presence of non-linear and non-minimum phase channels. (C) 2005 Elsevier Ltd. All rights reserved.
Keyword:
neural network classifier
neural network equalizer
decision delay
期刊
IF:
5.7
论文数:
3.4K
被引数:
1.2W
机构
暂无机构信息
引用论文
Post-ASFA Permanency Planning for Children in Foster Care: Clinical and Ethical Considerations for Art Therapists《《《ASFA后的儿童永久性安置计划：艺术治疗师的临床与伦理考量》》》.png)
Art Therapy
Art TherapyIF0
PREAI
分享收藏A neural-network-based channel-equalization strategy for chaos-based communication systems混沌通信系统中基于神经网络的信道均衡策略
OAAI
OAAI分享收藏Highly solar reflectance and infrared transparent porous coating for non-contact heat dissipationsiScience
OAAI
iScienceIF0
OAAI分享收藏
查看更多内容