Robust sparsity-aware RLS algorithms with jointly-optimized parameters against Impulsive noise

Yu, Yi, Lu, Lu, Zakharov, Yury orcid.org/0000-0002-2193-4334 et al. (2 more authors) (2022) Robust sparsity-aware RLS algorithms with jointly-optimized parameters against Impulsive noise. IEEE Signal Processing Letters. pp. 1037-1041. ISSN 1070-9908

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Item Type: Article
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© IEEE 2022. This is an author-produced version of the published paper. Uploaded in accordance with the publisher’s self-archiving policy. Further copying may not be permitted; contact the publisher for details.

Dates:
  • Published: 11 April 2022
  • Accepted: 6 April 2022
Institution: The University of York
Academic Units: The University of York > Faculty of Sciences (York) > Electronic Engineering (York)
Depositing User: Pure (York)
Date Deposited: 06 Apr 2022 12:00
Last Modified: 10 Jan 2025 17:00
Published Version: https://doi.org/10.1109/LSP.2022.3166395
Status: Published
Refereed: Yes
Identification Number: 10.1109/LSP.2022.3166395
Open Archives Initiative ID (OAI ID):

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Description: JOS_RRLS_final_version

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