Adaptive Narrowband Active Noise Control Trained by Genetic Algorithm-Reference-Cited by-同舟云学术

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Adaptive Narrowband Active Noise Control Trained by Genetic Algorithm

Published:2024 Issue: Volume:73 Page:1-11
ISSN:0018-9456
Container-title:IEEE Transactions on Instrumentation and Measurement
language:
Short-container-title:IEEE Trans. Instrum. Meas.

Author:

Zhou Yang¹^ORCID,Zhao Haiquan¹^ORCID,Liu Dongxu¹^ORCID,Zhang Hongwei²^ORCID

Affiliation:

1. Key Laboratory of Magnetic Suspension Technology and Maglev Vehicle, Ministry of Education and the School of Electrical Engineering, Southwest Jiaotong University, Chengdu, China

2. School of Mechanical Engineering and Automation, Harbin Institute of Technology, Shenzhen, Guangdong, China

Funder

National Natural Science Foundation of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/19/10367905/10541924.pdf?arnumber=10541924

Reference40 articles.

1. A weight-constrained FxLMS algorithm for feedforward active noise control systems

2. Performance Analysis and Design of FxLMS Algorithm in Broadband ANC System With Online Secondary-Path Modeling

3. Convergence analysis of FxLMS-based active noise control for repetitive impulses

4. Waveform synthesis—The Essex solution to repetitive noise and vibration;Chaplin

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1. A High-Speed Acoustic Echo Canceller Based on Grey Wolf Optimization and Particle Swarm Optimization Algorithms;Biomimetics;2024-06-23

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