A Family of Normalized LMS Algorithms

被引：109
|
作者：
Douglas, Scott C. [1 ]
机构：
[1] Univ Utah, Dept Elect Engn, Salt Lake City, UT 84112 USA
来源：
IEEE SIGNAL PROCESSING LETTERS | 1994年 / 1卷 / 03期
关键词：
Least mean square algorithms;
D O I：
10.1109/97.295321
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：
In this letter, a derivation of the normalized LMS algorithm is generalized, resulting in a family of projection-like algorithms based on an L(p)-minimized filter coefficient change. The resulting algorithms include the simplified NLMS algorithm of Nagumo and Noda and an even simpler single-coefficient update algorithm based on the maximum absolute value datum of the input data vector. A complete derivation of the algorithm family is given, and simulations are performed to show the convergence behaviors of the algorithms.
引用
收藏
页码：49 / 51
页数：3
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