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Abstract: Active control of acoustic noise has recently attracted much attention from engineers and scientists. This is due to the fact that it offers advantages in terms of bulk and expenditure over the conventional utilization of passive dampers for attenuating low frequency acoustic noise. This paper presents on-line modeling of the secondary path of multichannel ANC using neural networks. The neural networks used for secondary path modeling and its learning algorithm are implemented on a Texas... (Update)
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BibTeX entry: (Update)
@misc{ riyanto-secondary,
author = "Bambang Riyanto",
title = "Secondary Path On-line Modeling in Active Noise Control Using Neural Networks",
url = "citeseer.ist.psu.edu/riyanto00secondary.html" }
Citations (may not include all citations):471 and Stochastic Processes (context) - Papoulis - 1991
443 Discrete-Time Signal Processing (context) - Oppenheim, Scafer - 1989
48 Adaptive Inverse Control (context) - Widrow, dan - 1996
27 Active Noise Control Systems : Algorithms and DSP Implementa.. (context) - Kuo, Morgan - 1996
18 A multiple error LMS algorithm and its application to the ac.. (context) - Elliott, Stothers et al. - 1987
14 Active noise control (context) - Elliott, Nelson - 1993
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6 Digital Signal Processing : A System Design Approach (context) - DeFatta, Lucas et al. - 1995
5 Improved training of neural networks for the nonlinear activ.. - Martin, Paillard et al. - 1999
2 Design of Active Noise Control Systems with the TMS320 Famil.. (context) - Kuo - 1996
1 Neural Networks: A Comphrehensive Foundation (context) - Simon - 1994
1 The behaviour of a multiple channel active control system (context) - Elliot, Boucher et al. - 1992
1 Sound in small enclosures (context) - Donald, Shung et al. - 1992
1 Active Control of Vibration Using a Neural Network (context) - Scott, Nobuo - 1995
1 Interaction between multiple feedforward active control syst.. (context) - Elliott, Boucher - 1994
[Article contains additional citations not shown here]
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