Blind equalization algorithm based on compensation fuzzy neural network

被引：0
|
作者：
Ying, Xiao [1 ]
Xing, Li Zhen [2 ]
Hua, Dong Yu [1 ]
机构：
[1] Dalian Nationality Univ, Coll Electromech & Informat Engn, Dalian, Peoples R China
[2] 91550 Army 94 Unit, Dalian, Peoples R China
来源：
CISP 2008: FIRST INTERNATIONAL CONGRESS ON IMAGE AND SIGNAL PROCESSING, VOL 1, PROCEEDINGS | 2008年
关键词：
D O I：
10.1109/CISP.2008.121
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
Blind equalization based on compensation fuzzy neural network has proposed. It using compensation neurons to get tradeoff between negative and active operation, thus the network can be training using fuzzy rule of initial right or wrong setting, and fault tolerance and stability are improved. Simulations results show that this algorithm has faster convergence speed and less residual error compared to the inhere algorithm, and the blind equalization performance is improved effectively.
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页码：75 / +
页数：2
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