• DocumentCode
    2802836
  • Title

    Multiband analysis for colored amplitude-modulated ship noise

  • Author

    Clark, Pascal ; Kirsteins, Ivars ; Atlas, Les

  • Author_Institution
    Dept. of Electr. Eng., Univ. of Washington, Seattle, WA, USA
  • fYear
    2010
  • fDate
    14-19 March 2010
  • Firstpage
    3970
  • Lastpage
    3973
  • Abstract
    Propeller radiated cavitation noise is broadband yet audibly rhythmic, taking on the characteristics of amplitude-modulated noise. The study of this process is important because the shaft and blade rates, as well as other identifying features of the ship, can be inferred from the cavitation signal envelope. Unlike the conventional method for estimating the modulation frequency, this paper proposes a multirate subband method applicable to colored signals, and shows the conditions under which it is optimal in the sense of maximum likelihood. Application to actual ship noise data confirms the utility of the new method, yet also reveals previously unobserved signal dynamics, namely acoustic frequency-dependent phase shifts and amplitude variation in the modulation spectrum.
  • Keywords
    acoustic correlation; acoustic noise; acoustic signal detection; amplitude modulation; blades; cavitation; maximum likelihood detection; maximum likelihood estimation; propellers; shafts; ships; acoustic frequency-dependent phase shifts; blade rates; colored amplitude-modulated ship noise; maximum likelihood; modulation frequency; multiband analysis; propeller radiated cavitation noise; shaft rates; temporal correlation; Acoustic noise; Blades; Colored noise; Frequency estimation; Frequency modulation; Marine vehicles; Noise level; Propellers; Shafts; Signal processing; Amplitude modulation; cavitation; demodulated noise; maximum likelihood; multirate filterbanks;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Acoustics Speech and Signal Processing (ICASSP), 2010 IEEE International Conference on
  • Conference_Location
    Dallas, TX
  • ISSN
    1520-6149
  • Print_ISBN
    978-1-4244-4295-9
  • Electronic_ISBN
    1520-6149
  • Type

    conf

  • DOI
    10.1109/ICASSP.2010.5495776
  • Filename
    5495776