論文

査読有り
2019年5月

Feedforward Spatial Active Noise Control Based on Kernel Interpolation of Sound Field

ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
  • Hayato Ito
  • ,
  • Shoichi Koyama
  • ,
  • Natsuki Ueno
  • ,
  • Hiroshi Saruwatari

2019-May
開始ページ
511
終了ページ
515
記述言語
掲載種別
研究論文(国際会議プロシーディングス)
DOI
10.1109/ICASSP.2019.8683067

© 2019 IEEE. A method for feedforward active noise control (ANC) over a spatial region is proposed. Conventional multipoint ANC aims to reduce the noise at multiple discrete positions; therefore, the noise reduction in the region between these points cannot be guaranteed. Recent studies revealed the possibility of spatial ANC, i.e., noise control in a continuous target region. These methods are essentially based on spherical/circular harmonic decomposition of the sound field by using spherical/circular arrays and have mainly been investigated for feedback control under the assumption of periodicity of the noise. We apply a sound field interpolation method based on kernel ridge regression to feedforward spatial ANC to control spatial nonstationary noise using distributed arrays. Numerical simulation results indicated that a large regional noise reduction is achieved by the proposed method compared with feedforward multipoint ANC.

リンク情報
DOI
https://doi.org/10.1109/ICASSP.2019.8683067
Scopus
https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85068978348&origin=inward
Scopus Citedby
https://www.scopus.com/inward/citedby.uri?partnerID=HzOxMe3b&scp=85068978348&origin=inward
ID情報
  • DOI : 10.1109/ICASSP.2019.8683067
  • ISSN : 1520-6149
  • SCOPUS ID : 85068978348

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