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- W3100143223 abstract "In order to improve the performances of recently presented improved normalised subband adaptive filter (INSAF) and proportionate INSAF algorithms for highly noisy system, this study proposes their set-membership versions by exploiting the theory of set-membership filtering. Apart from obtaining smaller steady-state error, the proposed algorithms significantly reduce the overall computational complexity. In addition, to further improve the steady-state performance for the algorithms, their smooth variants are developed by using the smoothed absolute subband output errors to update the step sizes. Simulation results in the context of acoustic echo cancellation have demonstrated the superiority of the proposed algorithms." @default.
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- W3100143223 date "2018-02-01" @default.
- W3100143223 modified "2023-09-27" @default.
- W3100143223 title "Set‐membership improved normalised subband adaptive filter algorithms for acoustic echo cancellation" @default.
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- W3100143223 doi "https://doi.org/10.1049/iet-spr.2017.0131" @default.
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