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A fraction normalized subband adaptive filter algorithm

被引：0
|
作者：
Zhou Shuyong [1 ,2 ]
Zhao Haiquan [1 ,2 ]
Wang Wenyuang [1 ,2 ]
机构：
[1] Minist Educ, Key Lab Magnet Suspens Technol & Maglev Vehicle, Chengdu 610031, Peoples R China
[2] Southwest Jiaotong Univ, Sch Elect Engn, Chengdu 610031, Peoples R China
来源：
PROCEEDINGS OF THE 35TH CHINESE CONTROL CONFERENCE 2016 | 2016年
关键词：
Normalized subband adaptive filter; fractional derivative; signal processing; system identification;
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：
In this paper, we use the fractional derivative theory to improve the traditional normalized subband filtering algorithm. On this basis, we propose a new fractional order normalized subband filtering algorithm (FNSAF). Then we apply this algorithm to the simulation analysis of typical system identification. We compare this algorithm and the standard normalized subband filtering algorithm in the case of the same step and the same length weight of filter. The simulation results show that the designed gorithm has faster convergence than the conventional NSAF algorithm
引用
收藏
页码：3095 / 3098
页数：4
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