.png){kind=icon}
返回
Why use Bayesian equalization based on finite data blocks?
.png){kind=icon}
PRE
AI
DOI：10.1016/S0165-1684(00)00194-8.png)
.png){kind=icon}
原文求助.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
A brief overview of Bayesian equalizers will be given. Knowing that all realistic implementations of Bayesian equalizers are approximations of the optimal one tin the sense of minimum decision error probability), we review some classical implementations found in literature and we study the performance degradation induced by the use of finite memory Bayesian equalizers instead of growing memory structures. Finally, we also point out some new ideas and results concerning sub-optimal Bayesian structures. (C) 2001 Elsevier Science B.V. All rights reserved.
Keyword:
finite memory equalizer
Bayesian equalizer
classification and equalization
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
.png){kind=icon}
查看更多内容