Detail publikace

A Novel Variable Step-Size LMS Algorithm for Decentralized Incremental Distributed Networks

QADRI, S. ARIF, M. SAEED, M.

Originální název

A Novel Variable Step-Size LMS Algorithm for Decentralized Incremental Distributed Networks

Typ

článek v časopise ve Web of Science, Jimp

Jazyk

angličtina

Originální abstrakt

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.

Klíčová slova

Variable step-size, Least mean square algorithm, Incremental algorithm, Mean squared deviation, Theoretical analysis, Quotient form

Autoři

QADRI, S.; ARIF, M.; SAEED, M.

Vydáno

24. 7. 2023

ISSN

0278-081X

Periodikum

CIRCUITS SYSTEMS AND SIGNAL PROCESSING

Ročník

41

Číslo

12

Stát

Spojené státy americké

Strany od

7226

Strany do

7249

Strany počet

24

URL

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"
}