Enhancing active noise control through stacked autoencoders: Training strategies, comparative analysis, and evaluation with practical setup-Reference-Cited by-同舟云学术

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Enhancing active noise control through stacked autoencoders: Training strategies, comparative analysis, and evaluation with practical setup

Published:2024-09 Issue: Volume:135 Page:108811
ISSN:0952-1976
Container-title:Engineering Applications of Artificial Intelligence
language:en
Short-container-title:Engineering Applications of Artificial Intelligence

Author:

Singh Deepali,Gupta Rinki^ORCID,Kumar Arun^ORCID,Bahl Rajendar

Publisher

Elsevier BV

Reference32 articles.

1. Image method for efficiently simulating small-room acoustics;Allen;J. Acoust. Soc. Am.,1979

2. Active adaptive sound control in a duct: A computer simulation;Burgess;J. Acoust. Soc. Am.,1981

3. DNoiseNet: Deep learning-based feedback active noise control in various noisy environments;Cha;Eng. Appl. Artif. Intell.,2023

4. A secondary path-decoupled active noise control algorithm based on deep learning;Chen;IEEE Signal Process. Lett.,2021

5. A novel design for muffler chambers by incorporating baffle plate;Das;Appl. Acoust.,2022

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