Robust Frequency-Domain Recursive Least M-Estimate Adaptive Filter for Acoustic System Identification

Hongsen He, Jingdong Chen, Jacob Benesty, Yi Yu

科研成果: 书/报告/会议事项章节会议稿件同行评审

4 引用 (Scopus)

摘要

To identify acoustic systems in non-Gaussian and Gaussian noises, a robust frequency-domain recursive least M-estimate (FRLM) adaptive filtering algorithm is proposed. The cost function of the adaptive filter is defined by using a robust time-domain M-estimator, while its update equation is derived from the normal equation in the frequency domain. As compared to the frequency-domain recursive least-squares adaptive filter, the FRLM algorithm obtains the robustness to non-Gaussian and Gaussian noises. The performance of the proposed algorithm is validated in simulated acoustic environments.

源语言英语
主期刊名2020 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2020 - Proceedings
出版商Institute of Electrical and Electronics Engineers Inc.
471-475
页数5
ISBN(电子版)9781509066315
DOI
出版状态已出版 - 5月 2020
活动2020 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2020 - Barcelona, 西班牙
期限: 4 5月 20208 5月 2020

出版系列

姓名ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
2020-May
ISSN(印刷版)1520-6149

会议

会议2020 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2020
国家/地区西班牙
Barcelona
时期4/05/208/05/20

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