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An active noise control algorithm for controlling multiple sinusoids

S M Lee1, H J Lee, C H Yoo

  • 1Department of Electronic Engineering, Yonsei University, Sudaemun-gu, Seoul, Korea.

The Journal of the Acoustical Society of America
|July 22, 1998
PubMed
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This study introduces a novel adaptive algorithm for tonal acoustic noise control. The method enhances the filtered-x Least Mean Squares (LMS) algorithm for simpler and faster noise suppression.

Area of Science:

  • Acoustic signal processing
  • Adaptive filter theory
  • Noise control engineering

Background:

  • Filtered-x LMS algorithms effectively suppress various acoustic noises.
  • Existing methods face challenges in optimal tonal noise attenuation and computational efficiency.

Purpose of the Study:

  • To present a novel adaptive algorithm for attenuating tonal acoustic noise.
  • To improve upon existing filtered-x LMS approaches in terms of simplicity, convergence speed, and computational load.

Main Methods:

  • Simultaneous computation of adaptive filter weights and acoustic path phase shift estimation.
  • Independent processing of each frequency component using a two-coefficient adaptive filter.
  • Elimination of the convolution process for filtered reference signal generation.

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Main Results:

  • The proposed algorithm demonstrates robustness to acoustic path variations in SISO environments.
  • Outperforms the standard filtered-x LMS algorithm in simplicity and convergence speed.
  • Achieves independent convergence parameter selection for each sinusoidal component.

Conclusions:

  • The novel adaptive algorithm offers significant advantages for tonal acoustic noise control.
  • Provides a computationally efficient and faster converging alternative to existing filtered-x LMS methods.
  • Suitable for applications requiring robust and precise acoustic noise suppression.