Multichannel active noise control algorithms using inverse filters

Authors

  • M. Bouchard Sch. of Info. Technol./Engineering, University of Ottawa, Ottawa, Ont. K1N 6N5, Canada
  • F. Yu Sch. of Info. Technol./Engineering, University of Ottawa, Ottawa, Ont. K1N 6N5, Canada

Keywords:

Adaptive filtering, Algorithms, Control systems, Convergence of numerical methods, Feedback, Mathematical models, Wave filters, Active noise control (ANC) systems

Abstract

An inverse structure, for the use of adaptive filters in active noise control (ANC) systems, is described. Multichannel adaptive filter learning algorithms, based on the filtered least mean square (LMS) algorithm was introduced for the inverse structure. It is shown with simulations, that the some versions of the introduced algorithms can achieve both a reduction of the computational load and an increase of the convergence speed, compared to the standard algorithms for ANC.

Additional Files

Published

2000-09-01

How to Cite

1.
Bouchard M, Yu F. Multichannel active noise control algorithms using inverse filters. Canadian Acoustics [Internet]. 2000 Sep. 1 [cited 2025 Feb. 13];28(3):68-9. Available from: https://jcaa.caa-aca.ca/index.php/jcaa/article/view/1294

Issue

Vol. 28 No. 3 (2000)

Section

Proceedings of the Acoustics Week in Canada

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