• DocumentCode
    876583
  • Title

    Signal processing in ocean bottom seismographs for refraction seismology

  • Author

    Rodríguez, Iban ; Mànuel-Làzaro, Antonio ; Carlosena, Alfonso ; Bermudez, Antoni ; Del Río, Joaquín ; Panahi, Shahram Shariat

  • Author_Institution
    Dept. Electr. & Electron. Eng., Univ. Publica de Navarra, Pamplona, Spain
  • Volume
    55
  • Issue
    2
  • fYear
    2006
  • fDate
    4/1/2006 12:00:00 AM
  • Firstpage
    652
  • Lastpage
    658
  • Abstract
    This paper presents some experimental results on the application of signal processing techniques to underwater seismic signals. The novelty of this paper stems from the fact that it is the first paper, to the best of the authors´ knowledge, dealing with a comprehensive processing of signals obtained from active refraction seismology. In particular, this paper has adapted known signal processing techniques to problems such as time of arrival detection (TOA), compression, and representation through conventional images (hodocrones) used in underwater seismology. This work is part of a wider project aimed at the design of a small ocean bottom seismometer (OBS) undertaken by several research and development groups in Spain. This sophisticated easy to handle equipment allows recording useful active and passive seismicity information.
  • Keywords
    data compression; geophysical signal processing; seismology; seismometers; time-of-arrival estimation; ocean bottom seismographs; refraction seismology; seismicity information; signal compression; signal processing; signal representation; time of arrival detection; underwater seismic signals; Adaptive signal detection; Biomedical signal processing; Data mining; Image coding; Marine technology; Oceans; Seismology; Signal processing; Testing; Underwater tracking; Ocean bottom seismographs; refraction seismology; signal compression; signal processing; wavelets;
  • fLanguage
    English
  • Journal_Title
    Instrumentation and Measurement, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9456
  • Type

    jour

  • DOI
    10.1109/TIM.2006.870107
  • Filename
    1608614