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access icon free Set-membership improved normalised subband adaptive filter algorithms for acoustic echo cancellation

  • Author(s): Yi Yu 1 ; Haiquan Zhao 1 ; Badong Chen 2
    • View affiliations
  • Source: Volume 12, Issue 1, February 2018, p. 42 – 50
    DOI:  10.1049/iet-spr.2017.0131 , Print ISSN 1751-9675, Online ISSN 1751-9683
© The Institution of Engineering and Technology
Received 29/03/2017, Accepted 25/07/2017, Revised 13/07/2017, Published 01/08/2017

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.

Inspec keywords: echo suppression; adaptive filters; computational complexity

Other keywords: computational complexity; proportionate INSAF algorithms; steady-state performance; smoothed absolute subband output errors; improved normalised subband adaptive filter; acoustic echo cancellation; steady-state error; set-membership filter

Subjects: Filtering methods in signal processing; Signal processing theory; Electromagnetic compatibility and interference

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