• DocumentCode
    2330575
  • Title

    Application of Active Noise Control for Reducing Snore

  • Author

    Chakravarthy, Sreeram R. ; Kuo, Sen M.

  • Author_Institution
    Dept. of Electr. Eng., Northern Illinois Univ., DeKalb, IL
  • Volume
    5
  • fYear
    2006
  • fDate
    14-19 May 2006
  • Abstract
    This paper presents an application of active noise control (ANC) for reducing snoring noise. The proposed snore ANC system can be installed on a traditional headboard, thus has potential benefits in retrofit, convenience, and is unobtrusive. Six snore ANC structures were developed using three different filtered-x least mean square (FXLMS) algorithms to achieve better performance with lower computational complexity and overall system cost. Real-time experiments using a twin-size headboard and snore samples show a reasonable size of quiet zone with satisfactory performance achieved with a low-cost ANC system
  • Keywords
    active noise control; bioacoustics; computational complexity; filtering theory; least mean squares methods; sleep; ANC; active noise control; computational complexity; filtered-x least mean square algorithms; snoring noise reduction; twin-size headboard; Active noise reduction; Costs; Frequency; Loudspeakers; Low-frequency noise; Microphones; Noise cancellation; Noise level; Sleep apnea; Working environment noise;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Acoustics, Speech and Signal Processing, 2006. ICASSP 2006 Proceedings. 2006 IEEE International Conference on
  • Conference_Location
    Toulouse
  • ISSN
    1520-6149
  • Print_ISBN
    1-4244-0469-X
  • Type

    conf

  • DOI
    10.1109/ICASSP.2006.1661273
  • Filename
    1661273