Theoretical convergence analysis of the FXLMS-based feedforward hybrid active noise control system-Reference-Cited by-同舟云学术

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Theoretical convergence analysis of the FXLMS-based feedforward hybrid active noise control system

Published:2024-04 Issue: Volume:217 Page:109320
ISSN:0165-1684
Container-title:Signal Processing
language:en
Short-container-title:Signal Processing

Author:

Cao Shengnan^ORCID,Sun Hongling^ORCID,Wang Han,Wu Ming

Funder

National Natural Science Foundation of China

Publisher

Elsevier BV

Subject

Electrical and Electronic Engineering,Computer Vision and Pattern Recognition,Signal Processing,Software,Control and Systems Engineering

Reference44 articles.

1. Active Noise Control Systems: Algorithms and DSP Implementations;Kuo,1996

2. Signal Processing for Active Control;Elliott,1992

3. S.M. Kuo, K. Kuo, W.S. Gan, Active noise control: Open problems and challenges, in: Proc. ICGCS ’10, Shanghai, China, 2010, pp. 21–23.

4. Recent advances on active noise control: open issues and innovative applications;Kajikawa;APSIPA Trans. Signal Inf. Process.,2012

5. X. Qiu, J. Lu, J. Pan, A new era for applications of active noise control, in: INTER-NOISE and NOISE-CON Congress and Conference Proceedings, 2014, pp. 1254–1263.

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1. Multiple channel SPSA algorithm with improved cost function in active vibration control;Mechanical Systems and Signal Processing;2025-01

2. A semi-adaptive feedforward hybrid active noise control algorithm for multichannel systems;JASA Express Letters;2024-03-01

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