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QADRI, S. ARIF, M. SAEED, M.
Original Title
A Novel Variable Step-Size LMS Algorithm for Decentralized Incremental Distributed Networks
Type
journal article in Web of Science
Language
English
Original Abstract
This work proposes a variable step-size strategy for estimation over distributed networks using the incremental scheme. The proposed algorithm employs the ratio of filtered squared instantaneous error to the squared instantaneous error in a windowed format. This reduces the dependency on the error power which is particularly beneficial in low signal-to-noise power ratio situations. A comprehensive theoretical analysis has been performed, and closed-form solutions of mean squared error, excess mean squared error and mean squared deviation have been derived. The theoretical results are verified via simulation results. Extensive testing has been done through experiments under various scenarios to show the supremacy of the proposed algorithm in comparison with several other algorithms.
Keywords
Variable step-size, Least mean square algorithm, Incremental algorithm, Mean squared deviation, Theoretical analysis, Quotient form
Authors
QADRI, S.; ARIF, M.; SAEED, M.
Released
24. 7. 2023
ISBN
0278-081X
Periodical
CIRCUITS SYSTEMS AND SIGNAL PROCESSING
Year of study
41
Number
12
State
United States of America
Pages from
7226
Pages to
7249
Pages count
24
URL
https://link.springer.com/article/10.1007/s00034-023-02426-y
BibTex
@article{BUT185131, author="QADRI, S. and ARIF, M. and SAEED, M.", title="A Novel Variable Step-Size LMS Algorithm for Decentralized Incremental Distributed Networks", journal="CIRCUITS SYSTEMS AND SIGNAL PROCESSING", year="2023", volume="41", number="12", pages="7226--7249", doi="10.1007/s00034-023-02426-y", issn="0278-081X", url="https://link.springer.com/article/10.1007/s00034-023-02426-y" }