Novel LMS algorithms based on status categorization

IEICE Electronics Express

Jun-Seok Lim¹  Koeng-Mo Sung²  Sang Bae Chon²  Seon-Ho Kim² 

[1] Department of Electronics Engineering, Sejong University;Applied Acoustics Laboratory, Institute of New Media and Communications, School of Electrical Engineering and Computer Science, Seoul National University

关键词: LMS;    adaptive filter;    VSSLMS;    MCLMS;   

DOI  :  10.1587/elex.6.1361

学科分类：电子、光学、磁材料

来源: Denshi Jouhou Tsuushin Gakkai

【 摘 要 】

References(8)Least Mean Square (LMS) is an effective adaptive filtering algorithm with advantages of robustness and simplicity. In this paper, we propose two new algorithms, Categorized Variable Step Size LMS (CVSSLMS) and Combined CVSSLMS (CCVSSLMS), based on the categorization of filter status. The step sizes of the proposed algorithms are dynamically updated by optimization for each state. Experiment results show that the proposed algorithms outperform conventional LMS algorithms in both simplicity and robustness.

【 授权许可】

Unknown