.png){kind=icon}
返回
Pipelining the adaptive decision feedback equalizer with zero latency
.png){kind=icon}
PRE
AI
DOI：10.1016/j.sigpro.2003.07.003.png)
.png){kind=icon}
原文求助.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
This paper extends a recently proposed approach to pipeline an adaptive filter to the case of least mean square (LMS)-based adaptive decision feedback equalizer. It is shown that by certain manipulation of the equalizer weight update equation, a pipelined architecture can be realized which generates the output at the first stage itself and thus is free from any latency. The proposed method overcomes certain limitations of the conventional approaches in that due to the absence of any latency, there is no compulsion to employ delayed LMS algorithm for coefficient adaptation and thus no compromise with convergence rate becomes necessary. (C) 2003 Elsevier B.V. All rights reserved.
Keyword:
latency
decision feedback equalizer
LMS algorithm
AI总结
对已上传原文的论文进行重点信息的提取，主要内容包括：简要概述、研究摘要、背景介绍、关键亮点、图文解析、展望与总结。
期刊
IF:
3.6
论文数:
10.0K
被引数:
1.7W
机构
暂无机构信息
引用论文
One-pot synthesis of well-defined amphiphilic alternating copolymer brushes based on POSS and their self-assembly in aqueous solution.png)
RSC Advances
RSC AdvancesIF0
PREAI
分享收藏Cluster expansion of the wave function. Valence and Rydberg excitations and ionizations of ethylene
PREAI
分享收藏分享收藏Photorelease Reaction of Alcohol from 1,4-Naphthoquinone-Based Photodegradable Molecules1,4-萘醌基光降解分子中醇的光释放反应ACS OMEGA
OAAI
ACS OMEGAIF4.3
OAAI分享收藏
查看更多内容