Neural legendre orthogonal polynomial adaptive equalizer

被引：0
|
作者：
Zhao, Haiquan [1 ]
Zhang, Jiashu [2 ]
Xie, Mingyuan [1 ]
Zeng, Xiangping [3 ]
机构：
[1] Chengdu Univ Informat Technol, Dept Elect Engn, Chengdu 610225, Peoples R China
[2] Southwest Jiaotong Univ, Key Lab Signal & Informat Proc, Chengdu 610031, Peoples R China
[3] Chengdu Univ Informat Technol, Ctr Elect Lab, Chengdu 610225, Peoples R China
来源：
ICICIC 2006: FIRST INTERNATIONAL CONFERENCE ON INNOVATIVE COMPUTING, INFORMATION AND CONTROL, VOL 2, PROCEEDINGS | 2006年
关键词：
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
A novel structure of neural network legendre orthogonal Equalizers is proposed when dealing with severe linear and nonlinear distortion. The equalizer is presented based on characteristic of single layer neural network and structure of legendre orthogonal polynomial after the analysis of few parameter nonlinear filter, and adaptive algorithm is deduced with NLMS. To support the analysis, simulation results for nonlinear channel are provided.
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页码：710 / +
页数：2
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