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<p>This paper proposes a robust low-complexity adaptive filtering algorithm for identifying impulse responses in acoustic echo cancellation within practical acoustic environments. Under a low-rank model framework of the filter coefficient vector, a Cauchy estimate function is employed to define a set of robust cost functions, from which the adaptive algorithm is established with a dichotomous coordinate descent scheme. The computational efficiency of the proposed algorithm is significantly improved, and its effectiveness is validated through simulations.</p>

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A Robust Low-Complexity Adaptive Filtering Algorithm with Dichotomous Coordinate Descent Scheme for Acoustic Echo Cancellation

  • 期刊论文

  • 发表日期：

    2026年3月19日

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  • Tingting Tao,
  • Hongsen He,
  • Jingdong Chen,
  • Jacob Benesty,
  • Yi Yu

摘要

This paper proposes a robust low-complexity adaptive filtering algorithm for identifying impulse responses in acoustic echo cancellation within practical acoustic environments. Under a low-rank model framework of the filter coefficient vector, a Cauchy estimate function is employed to define a set of robust cost functions, from which the adaptive algorithm is established with a dichotomous coordinate descent scheme. The computational efficiency of the proposed algorithm is significantly improved, and its effectiveness is validated through simulations.