Neural filtered-U algorithm for the application of active noise control system with correction terms momentum-Reference-Cited by-同舟云学术

Neural filtered-U algorithm for the application of active noise control system with correction terms momentum

Published:2010-07 Issue:4 Volume:20 Page:1019-1026
ISSN:1051-2004
Container-title:Digital Signal Processing
language:en
Short-container-title:Digital Signal Processing

Author:

Chang Cheng-Yuan

Publisher

Elsevier BV

Subject

Electrical and Electronic Engineering,Signal Processing,Artificial Intelligence,Applied Mathematics,Computer Vision and Pattern Recognition,Statistics, Probability and Uncertainty,Computational Theory and Mathematics

Reference15 articles.

1. P. Lueg, Process of silencing sound oscillator, U.S. Patent 2 043 416, 1936

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

3. Active noise control using a simplified fuzzy neural network;Zhang;J. Sound Vibr.,2004

4. A constrained transform domain adaptive IIR filter structure for active noise control;Nowak;IEEE Trans. Speech Audio Process.,1997

5. The selection and application of an IIR adaptive filter for use in active sound attenuation;Eriksson;IEEE Trans. Acoustic Speech Signal Process.,1987

Cited by 9 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. A survey on active noise control in the past decade–Part II: Nonlinear systems;Signal Processing;2021-04

2. Diagonal-structure adaptive bilinear filters for multichannel active noise control of nonlinear noise processes;Mechanical Systems and Signal Processing;2020-09

3. Development of equation-error adaptive IIR-filter-based active noise control system;Applied Acoustics;2020-06

4. A novel FELMS-based narrowband active noise control system and its convergence analysis;Applied Acoustics;2019-12

5. Hierarchical partial update generalized functional link artificial neural network filter for nonlinear active noise control;Digital Signal Processing;2019-10