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Dynamic Variable Step Size LMS Adaptation Algorithms - Application to Adaptive Feedforward Noise Attenuation∗

  • Tudor Bogdan Airimitoaie
  • , Bernard Vau
  • , Dariusz Bismor
  • , Gabriel Buche
  • , Ioan Doré Landau
  • IMS
  • EXAIL
  • Université Grenoble Alpes

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

3 Citations (Scopus)

Abstract

The paper explores in detail the use of dynamic adaptation gain/step size (DAG) for improving the adaptation transient performance of variable step-size LMS (VS-LMS) adaptation algorithms. A generic form for the implementation of the DAG within the VS-LMS algorithms is provided. Criteria for the selection of the coefficients of the DAG filter which is required to be a strictly positive real transfer operator are given. The potential of the VS-LMS adaptation algorithms using a DAG is then illustrated by experimental results obtained on a relevant adaptive active noise attenuation system.

Original languageEnglish
Title of host publication2024 European Control Conference, ECC 2024
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1782-1788
Number of pages7
ISBN (Electronic)9783907144107
DOIs
Publication statusPublished - 2024
Event2024 European Control Conference, ECC 2024 - Stockholm, Sweden
Duration: 25 Jun 2024 → 28 Jun 2024

Publication series

Name2024 European Control Conference, ECC 2024

Conference

Conference2024 European Control Conference, ECC 2024
Country/TerritorySweden
CityStockholm
Period25/06/24 → 28/06/24

ASJC Scopus subject areas

  • Control and Optimization
  • Modeling and Simulation

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