A Bayesian approach to eliminate correlated noise using an independent reference—Application to supersonic jet noise extraction
Author:
Affiliation:
1. Univ Lyon, INSA Lyon, LVA, EA677, 69621 Villeurbanne, France
2. Acoustics Department, Airbus Operations S.A.S., 31060 Toulouse, France
Publisher
Acoustical Society of America (ASA)
Subject
Acoustics and Ultrasonics,Arts and Humanities (miscellaneous)
Link
https://asa.scitation.org/doi/pdf/10.1121/10.0006107
Cited by 3 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. The Low-rank Gaussian Mixture Model with Interference Reference in the Acoustic Array Measurement for Background Interference Suppression;2023 6th International Conference on Information Communication and Signal Processing (ICICSP);2023-09-23
2. Experimental investigation of the supersonic jet noise from aircraft engines using acoustic imaging;28th AIAA/CEAS Aeroacoustics 2022 Conference;2022-06-13
3. Introduction to the special issue on supersonic jet noise;The Journal of the Acoustical Society of America;2022-02
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