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<p>The study proposes the combined step-size affine projection Champernowne adaptive filter (CSS-APCMAF), addressing the back-and-forth relationship between convergence rate and steady-state misalignment in fixed step-size adaptive filtering algorithms. Additionally, the study introduces a new approach to active noise control using the combined step-size filtered-x affine projection Champernowne adaptive filter (CSS-FxAPCMAF). The emphasis of this research lies in robustness in environments with correlated input and impulsive noise. Simulation results demonstrate that the proposed algorithm can maintain a convergence rate while exhibiting smaller steady-state misalignment compared to existing algorithms, ensuring superior performance.</p>

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Novel Active Noise Control Algorithm Based on Combined Step-size Strategy Against Impulsive Noise

  • 期刊论文

  • 发表日期：

    2025年2月5日

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  • Seung Hyun Ryu,
  • Jeongmin Park,
  • PooGyeon Park

摘要

The study proposes the combined step-size affine projection Champernowne adaptive filter (CSS-APCMAF), addressing the back-and-forth relationship between convergence rate and steady-state misalignment in fixed step-size adaptive filtering algorithms. Additionally, the study introduces a new approach to active noise control using the combined step-size filtered-x affine projection Champernowne adaptive filter (CSS-FxAPCMAF). The emphasis of this research lies in robustness in environments with correlated input and impulsive noise. Simulation results demonstrate that the proposed algorithm can maintain a convergence rate while exhibiting smaller steady-state misalignment compared to existing algorithms, ensuring superior performance.