Real-time implementation and explainable AI analysis of delayless CNN-based selective fixed-filter active noise control

Real-time implementation and explainable AI analysis of delayless CNN-based selective fixed-filter active noise control

The selective fixed-filter active noise control (SFANC) approach can select suitable pre-trained control filters for different types of noise. With the learning ability of convolutional neural network (CNN), the CNN-based SFANC method can automatically learn its parameters from noise data. Combining...

Full description

Bibliographic Details
Main Authors: Luo, Zhengding, Shi, Dongyuan, Ji, Junwei, Shen, Xiaoyi, Gan, Woon-Seng
Other Authors: School of Electrical and Electronic Engineering
Format: Journal Article
Language:English
Published: 2024
Subjects:
Engineering
Delayless noise control
Convolutional neural network
Online Access:https://hdl.handle.net/10356/179403

Internet

https://hdl.handle.net/10356/179403

Similar Items