Comparative study of the filtered-X LMS and LMS algorithms with undermodelling conditions

被引：0
|
作者：
Mayyas, K. [1 ]
Aboulnasr, T. [1 ]
机构：
[1] Department of Electrical Engineering, Jordan Univ. of Sci. and Technology, Irbid, 22110, Jordan
来源：
International Journal of Modelling and Simulation | 2002年 / 22卷 / 03期
关键词：
Active noise cancellation - Filtered-X least mean square algorithm - Least mean square algorithm;
D O I：
10.1080/02286203.2002.11442237
中图分类号：
学科分类号：
摘要：
引用
收藏
页码：159 / 166
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