LMS-Based Variable Step-Size Algorithms: A Unified Analysis Approach

被引：11
|
作者：
Bin Saeed, Muhammad Omer [1 ]
机构：
[1] Natl Univ Sci & Technol, Dept Comp Engn, Coll Elect & Mech Engn, Islamabad, Pakistan
来源：
ARABIAN JOURNAL FOR SCIENCE AND ENGINEERING | 2017年 / 42卷 / 07期
关键词：
Variable step-size; Least-mean-square algorithms; Mean-square analysis; Steady-state analysis; ADAPTIVE FILTER; NLMS ALGORITHM; ROBUST;
D O I：
10.1007/s13369-017-2453-y
中图分类号：
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号：
07 ; 0710 ; 09 ;
摘要：
Several variable step-size strategies have been suggested in the literature to improve the performance of the least-mean-square (LMS) algorithm. Although they enhance performance, a major drawback is the complexity in the theoretical analysis of these algorithms. Researchers use several assumptions to find closed-form analytical solutions. This work presents a unified approach for the analysis of variable step-size LMS algorithms. The approach is then applied to several variable step-size strategies, and theoretical and simulation results are compared.
引用
收藏
页码：2809 / 2816
页数：8
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