• DocumentCode
    719160
  • Title

    Ambulance siren noise reduction using psychoacoustic active noise control system with A-weighting filter

  • Author

    Singh, Shajbir ; Sharma, Manoj Kumar ; Agrawal, Sunil

  • Author_Institution
    Inst. of Eng. & Technol., Panjab Univ., Chandigarh, India
  • fYear
    2015
  • fDate
    15-16 May 2015
  • Firstpage
    990
  • Lastpage
    993
  • Abstract
    Acoustic noise is present everywhere and often affects our lives, but it is more troublesome to the patients. When the patient in serious condition is being taken to the hospital in an ambulance, he has to cope with continuous noise of siren. The patient feels annoyed and this can further deteriorate his health condition. Active noise control (ANC) system is employed to conquer the unwanted noise. But conventional ANC system intends to reduce the residual energy of noise, which cannot be discriminated in the frequency domain, while the human perception of sound is frequency dependent. A-weighting filter approximately model the frequency response of human hearing. In this paper, ANC with A-weighting filter (called Psychoacoustic ANC) is applied to the ambulance siren noise. The simulations are performed in MATLAB and results show that noise level is reduced by 62 dB, which is a considerable reduction in noise level.
  • Keywords
    active noise control; filtering theory; hearing; patient care; A-weighting filter; MATLAB; ambulance siren noise reduction; hospital; human hearing; patient condition; psychoacoustic ANC system; psychoacoustic active noise control system; Adaptive algorithms; Adaptive filters; Control systems; Noise; Psychoacoustic models; Psychoacoustics; ANC; Ambulance siren noise; PANC; Psychoacoustic;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computing, Communication & Automation (ICCCA), 2015 International Conference on
  • Conference_Location
    Noida
  • Print_ISBN
    978-1-4799-8889-1
  • Type

    conf

  • DOI
    10.1109/CCAA.2015.7148519
  • Filename
    7148519