.png){kind=icon}
返回
Tracking issues of some blind equalization algorithms
.png){kind=icon}
PRE
AI
DOI：10.1109/LSP.2004.833517.png)
.png){kind=icon}
.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
Due to the growing demand for mobile communications, blind adaptive algorithms have an important role in improving data transmission efficiency. In this context, the convergence and tracking analysis of such algorithms is a problem of interest. Recently, a tracking analysis of the Constant Modulus Algorithm was presented based on an energy conservation relation. In this letter we extend that analysis to blind quasi-Newton algorithms that minimize the Constant Modulus cost function. Under certain conditions, the considered algorithms can reach the same steady-state mean-square error. Close agreement between analytical and simulation results is shown.
Keyword:
adaptive filter
blind equalization algorithms
steady-state analysis
tracking analysis
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:
9.6
论文数:
1.1W
被引数:
1.7W
机构
暂无机构信息
引用论文
Highly solar reflectance and infrared transparent porous coating for non-contact heat dissipations.png)
iScience
OAAI
iScienceIF0
OAAI分享收藏
没有更多内容
没有更多内容