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Dynamic variable step size LMS adaptation algorithms---Application to adaptive feedforward noise attenuation

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  • Additional Information
    • Contributors:
      Laboratoire de l'intégration, du matériau au système (IMS); Université Sciences et Technologies - Bordeaux 1 (UB)-Institut Polytechnique de Bordeaux-Centre National de la Recherche Scientifique (CNRS); Exail (iXblue) (Exail (iXblue)); Silesian University of Technology; GIPSA-Services (GIPSA-Services); Grenoble Images Parole Signal Automatique (GIPSA-lab); Centre National de la Recherche Scientifique (CNRS)-Université Grenoble Alpes (UGA)-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP ); Université Grenoble Alpes (UGA)-Centre National de la Recherche Scientifique (CNRS)-Université Grenoble Alpes (UGA)-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP ); Université Grenoble Alpes (UGA); GIPSA - Modelling and Optimal Decision for Uncertain Systems (GIPSA-MODUS); GIPSA Pôle Automatique et Diagnostic (GIPSA-PAD); Université Grenoble Alpes (UGA)-Grenoble Images Parole Signal Automatique (GIPSA-lab)
    • Publication Information:
      HAL CCSD
    • Publication Date:
      2024
    • Collection:
      Université Grenoble Alpes: HAL
    • Subject Terms:
      Stockholm; Sweden
    • Subject Terms:
      Stockholm, Sweden
    • Abstract:
      International audience ; 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.
    • Relation:
      hal-04509676; https://hal.science/hal-04509676; https://hal.science/hal-04509676/document; https://hal.science/hal-04509676/file/ECC24_Hal.pdf
    • Online Access:
      https://hal.science/hal-04509676
      https://hal.science/hal-04509676/document
      https://hal.science/hal-04509676/file/ECC24_Hal.pdf
    • Rights:
      http://creativecommons.org/licenses/by-nc-sa/ ; info:eu-repo/semantics/OpenAccess
    • Accession Number:
      edsbas.B3E2AB91