Adaptive filtering with averaging-based algorithm for feedforward active noise control systems

Muhammad Tahir Akhtar, Masahide Abe, Masayuki Kawamata

Research output: Contribution to journalLetterpeer-review

10 Citations (Scopus)


This letter proposes an adaptive filtering with averaging-based algorithm for active noise control (ANC) systems. This algorithm uses a similar structure as that of the FxLMS-based ANC system. The proposed algorithm, called Filtered-x Adaptive Filtering with Averaging (FxAFA) algorithm, uses averages of both data and correction terms to find the updated values of the tap weights of the ANC controller. The computer simulations are conducted for single-channel feedforward ANC systems. It is shown that the proposed algorithm gives fast convergence as compared with the FxLMS algorithm and achieves better performance in the presence of the measurement noise. The comparison with the FxRLS algorithm shows that the proposed FxAFA algorithm is a better choice for low computational complexity and stable performance.

Original languageEnglish
Pages (from-to)557-560
Number of pages4
JournalIEEE Signal Processing Letters
Issue number6
Publication statusPublished - 2004 Jun
Externally publishedYes


  • Active noise control
  • Adaptive filters
  • Averaging
  • FxLMS algorithm

ASJC Scopus subject areas

  • Signal Processing
  • Electrical and Electronic Engineering
  • Applied Mathematics


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