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

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...

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Bibliographic Details
Published in:Arabian journal for science and engineering (2011) Vol. 42; no. 7; pp. 2809 - 2816
Main Author: Saeed, Muhammad Omer Bin
Format: Journal Article
Language:English
Published: Berlin/Heidelberg Springer Berlin Heidelberg 01.07.2017
Springer Nature B.V
Subjects:
Algorithms
Complexity
Computer simulation
Engineering
Exact solutions
Humanities and Social Sciences
Mathematical analysis
multidisciplinary
Performance enhancement
Research Article - Electrical Engineering
Science
Mean-square analysis
Steady-state analysis
Least-mean-square algorithms
Variable step-size
ISSN:2193-567X, 1319-8025, 2191-4281
Online Access:Get full text
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Summary: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.
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ISSN:2193-567X
1319-8025
2191-4281
DOI:10.1007/s13369-017-2453-y