Performance of least mean absolute third (LMAT) adaptive algorithm in various noise environments

被引：19

作者：

Lee, YH

Mok, JD

Kim, SD

Cho, SH

机构：

[1] ETRI, Wireless Commun Standardizat Sect, Taejon 305350, South Korea

[2] Hanyang Univ, Dept Elect Engn, Ansan 425701, Kyunggi Do, South Korea

来源：

ELECTRONICS LETTERS | 1998年 / 34卷 / 03期

关键词：

D O I：

10.1049/el:19980181

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：

Convergence properties of the stochastic gradient adaptive algorithm based on the least mean absolute third (LMAT) error criterion are presented. The performance of the algorithm is examined and compared for several different probability densities of the measurement noise in the system identification mode. It is observed that the LMAT algorithm outperforms the LMS algorithm for most noise probability densities, except in the case of exponentially distributed noise.

引用

页码：241 / 243

页数：3