A New Transform Domain LMS algorithm

摘要：

In this paper a Krylov subspace transform domain lease mean square (LMS) algorithm is proposed. The unknown system can be sparse after Krylov subspace transform, thus a much smaller tap length can be used for the update of adaptive filer coefficients in transform domain, which results in a significant improvement of convergence rate. The small tap length in transform domain can be found by using variable tap-length LMS algorithm. Simulation is performed to show the advantage of the proposed algorithm. As can be seen from simulation results, the proposed algorithm has an improved convergence rate as compared with the LMS algorithm.

关键词： LMS Krylov subspace adaptive lter transform domain variable tap length

作者: Yonggang Zhang Qiang Yu Lei Wu Ping Huang

作者单位: Automation College,Harbin Engineering University Harbin,Heilongjiang,China

会议类型: 国际会议

会议名称: 2010 IEEE信息与自动化国际会议(ICIA 2010)

会议地点: 哈尔滨

会议语种:英文

页码: 1-4

在线出版日期: 2010-06-20（万方平台首次上网日期，不代表论文的发表时间）