Fast surface-search algorithm for adaptive FIR filtering

被引：0
|
作者：
Feng, DZ [1 ]
Zheng, WX [1 ]
机构：
[1] Xidian Univ, Key Lab Radar Signal Proc, Xian 710049, Shaanxi, Peoples R China
来源：
2004 7TH INTERNATIONAL CONFERENCE ON SIGNAL PROCESSING PROCEEDINGS, VOLS 1-3 | 2004年
关键词：
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
This paper proposes a fast surface search (FSS) algorithm for adaptive FIR filtering. The proposed algorithm depends on the efficient calculation of the fast gain vector (FGA) defined in [13], and the rank-one updating formula of the correlation matrix of the input vector sequence. This atgorithm is of computational complexity O(M). which is comparable with the fast recursive least squares transversal filters for adaptive FIR filtering. The global convergence of the proposed algorithm is studied by the Lyapunov indirect method. The performances of the relative algorithms are shown via computer Simulations.
引用
收藏
页码：376 / 379
页数：4
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