A new family of concurrent algorithms for adaptive Volterra and linear filters

被引：14
作者：
Chaturvedi, AK [1 ]
Sharma, G [1 ]
机构：
[1] Indian Inst Technol, Dept Elect Engn, Kanpur, Uttar Pradesh, India
来源：
IEEE TRANSACTIONS ON SIGNAL PROCESSING | 1999年 / 47卷 / 09期
关键词：
adaptive filters; convergence rate; least mean square methods; least squares methods; parallel algorithms;
D O I：
10.1109/78.782201
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：
A novel idea for introducing concurrency in LS adaptive algorithms by sacrificing optimality has been proposed. The resultant class of algorithms provides schemes to fill the wide gap in the convergence rates of LS and SG algorithms. It will be particularly useful in the realtime implementations of large-order linear and Volterra filters for which both the LS and SG algorithms are unsuited.
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页码：2547 / 2551
页数：5
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