Iterative learning approach to active noise control of highly autocorrelated signals with applications to machinery noise
Author:
Affiliation:
1. Faculty of ElectronicsTelecommunications and Computer ScienceDepartment of Automatic ControlGdańsk University of Technologyul. Narutowicza 11/1280‐233GdańskPoland
Publisher
Institution of Engineering and Technology (IET)
Subject
Electrical and Electronic Engineering,Signal Processing
Link
https://onlinelibrary.wiley.com/doi/pdf/10.1049/iet-spr.2020.0064
Reference41 articles.
1. Active Control of Sound
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3. Active Noise Hybrid Time-Varying Control for Motorcycle Helmets
4. Adaptive feedback active noise control headset: implementation, evaluation and its extensions
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2. Active Control of Highly Autocorrelated Machinery Noise in Multivariate Nonminimum Phase Systems;Circuits, Systems, and Signal Processing;2022-09-28
3. An Integration Development of Traditional Algorithm and Neural Network for Active Noise Cancellation;2022 IEEE 32nd International Workshop on Machine Learning for Signal Processing (MLSP);2022-08-22
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