GFANC-RL: reinforcement learning-based generative fixed-filter active noise control

GFANC-RL: reinforcement learning-based generative fixed-filter active noise control

The recent Generative Fixed-filter Active Noise Control (GFANC) method achieves a good trade-off between noise reduction performance and system stability. However, labelling noise data for training the Convolutional Neural Network (CNN) in GFANC is typically resource-consuming. Even worse, labelling...

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Bibliographic Details
Main Authors: Luo, Zhengding, Ma, Haozhe, Shi, Dongyuan, Gan, Woon-Seng
Other Authors: School of Electrical and Electronic Engineering
Format: Journal Article
Language:English
Published: 2024
Subjects:
Engineering
Reinforcement learning
Convolutional neural network
Online Access:https://hdl.handle.net/10356/180662

Internet

https://hdl.handle.net/10356/180662

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