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Robust recursive least m-estimate adaptive filter for the identification of low-rank acoustic systems

  • Southwest University of Science and Technology
  • Institut national de la recherche scientifique

科研成果: 书/报告/会议事项章节会议稿件同行评审

7 引用 (Scopus)

摘要

To identify acoustic systems (which are low-rank in nature) in non-Gaussian and Gaussian noise, a robust recursive least M-estimate adaptive filtering algorithm is developed in this paper by applying the nearest Kronecker product to decompose the acoustic impulse response. Two M-estimators, i.e., the Cauchy and Welsch estimators, are employed to define the cost function of the adaptive filter, leading to a class of numerically stable adaptive filtering algorithms, which are robust to non-Gaussian noise. The effectiveness of the developed algorithm is validated in acoustic environments with both Gaussian and non-Gaussian noise.

源语言英语
主期刊名2021 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2021 - Proceedings
出版商Institute of Electrical and Electronics Engineers Inc.
940-944
页数5
ISBN(电子版)9781728176055
DOI
出版状态已出版 - 2021
活动2021 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2021 - Virtual, Toronto, 加拿大
期限: 6 6月 202111 6月 2021

出版系列

姓名ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
2021-June
ISSN(印刷版)1520-6149

会议

会议2021 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2021
国家/地区加拿大
Virtual, Toronto
时期6/06/2111/06/21

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