A Diffusion Transform Domain FxLMS Algorithm For Multi-Channel Active Noise Control With Variable Spatial Smoothing
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摘要
This paper studies the multichannel diffusion active noise control (ANC) systems, where a
group of controllers and error microphones are physically distributed at different locations
within an extended area and could communicate with each other in a distributed manner.
Since conventional diffusion ANC algorithms introduce the estimation bias via
communication between local controllers and degrade the overall performance, we aim to
develop a new diffusion filtered-x (Diff-Fx) based algorithm that incorporates knowledge
of spatial smoothness and balances between communication strength and estimation bias.
To further increase the convergence speed and save computational complexity, the
transform domain (TD) technique is employed. A detailed performance analysis is carried
out for the resulting Diff-TD-FxLMS algorithm. A variable spatial regularization (SR) rule
is derived from the analysis, which could adjust the diffusion strength automatically. The
performance of the proposed algorithm is also compared with conventional methods.
关键词
diffusion FxLMS,transform domain,multitask problem,network design,performance analysis
报告人
Yijing CHU
South China University of Technology

稿件作者
Yijing CHU South China University of Technology
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重要日期
  • 会议日期

    11月01日

    2022

    11月03日

    2022

  • 10月30日 2022

    初稿截稿日期

  • 11月09日 2022

    注册截止日期

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Qingdao University of Technology
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