• DocumentCode
    669257
  • Title

    Recent applications and challenges on active noise control

  • Author

    Kajikawa, Y. ; Woon-Seng Gan ; Sen Maw Kuo

  • Author_Institution
    Dept. of Electr. & Electron. Eng., Kansai Univ., Suita, Japan
  • fYear
    2013
  • fDate
    4-6 Sept. 2013
  • Firstpage
    661
  • Lastpage
    666
  • Abstract
    Acoustic noise problems become more and more serious with increasing use of industrial and medical equipment, appliances, and consumer electronics. Active noise control (ANC) has been studied to solve such acoustic noise problems. ANC is a technique based on the principle of superposition, i.e., an antinoise with the same amplitude and opposite phase is generated and combined with an unwanted noise, thus resulting in the cancellation of both noises. However, ANC is still not widely used owing to the effectiveness of control algorithms, and to the physical and economical constraints of practical applications. In this paper, we briefly introduce some fundamental ANC structures, and focus on recent advances on signal processing algorithms, implementation techniques, challenges for innovative applications, and open issues for further research and development of ANC systems.
  • Keywords
    active noise control; ANC; acoustic noise control; consumer electronics; industrial equipment; medical equipment; noise cancellation; noise control; signal processing algorithm; Acoustics; Feedforward neural networks; Loudspeakers; Magnetic resonance imaging; Microphones; Noise; Signal processing algorithms;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Image and Signal Processing and Analysis (ISPA), 2013 8th International Symposium on
  • Conference_Location
    Trieste
  • Type

    conf

  • DOI
    10.1109/ISPA.2013.6703821
  • Filename
    6703821