Izvestiya, Atmospheric and Oceanic Physics

, Volume 48, Issue 4, pp 384–390 | Cite as

Studying possibilities for the classification of infrasonic signals from different sources

  • N. D. Tsybul’skaya
  • S. N. KulichkovEmail author
  • A. I. Chulichkov


Atmospheric infrasonic signals were classified on the basis of data obtained in the United States (University of Alaska, Fairbanks) and in the Antarctic region (Windless Bight) from 1980 to 1983. The data archive included five classes of signals from different sources: explosions, mountain associated waves, microbaroms, volcanic infrasound, and auroral infrasonic waves. This classification was based on the theory of testing statistical hypotheses. The possibilities of separating these classes were studied. It was shown that the signals (from the archive used) that are characteristic of explosions and volcanic activity can be rather easily separated from those characteristic of mountain associated waves, microbaroms, and auroral infrasonic waves.


signal classification acoustics statistical hypotheses 


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  1. 1.
    P. Grenard, “Status of the IMS Infrasound Network,” in Proceedings of the Infrasound Technology Workshop, October 18–22, 2010, Tunis, Tunisia.Google Scholar
  2. 2.
    S. N. Kulichkov, G. A. Bush, A. I. Svertilov, “New Type of Infrasonic Arrivals in the Geometric Shadow Region at Long Distances from Explosions,” Izv., Atmos. Ocean. Phys. 38(4), 397–402 (2002).Google Scholar
  3. 3.
    N. D. Tsybulskaya, S. N. Kulichkov, and A. I. Chulichkov, “Analysis of Classification Possibility Infrasound Signals from Different Sources Based on Correlation Ability,” in Proceedings of the International Conference “Comprehensive Nuclear-Test Ban Treaty: Science and Technology, June 8–10, 2011, Vienna, Austria.Google Scholar
  4. 4.
    E. L. Lehman, Testing Statistical Hypotheses (Wiley, New York, 1959; Nauka, Moscow, 1979).Google Scholar
  5. 5.
    Library of Typical Infrasonic Signals, Matlab Files of Infrasonic Sensor Data with Online Analysis Parameters for Each 2.5 min of Data (Geophysical Institute, University of Alaska, 2007).Google Scholar
  6. 6.
    Yu. P. Pyt’ev and A. I. Chulichkov, Methods of Morphological Image Analysis (Fizmatlit, Moscow, 2010) [in Russian].Google Scholar
  7. 7.
    S. N. Kulichkov, A. I. Chulichkov, and D. S. Demin, Morphological Analysis Infrasonic Signals in Acoustics (Novyi Akropol’, Moscow, 2010) [in Russian].Google Scholar
  8. 8.
    N. E. Golyandina, The Caterpillar-SSA Method: Time Series Analysis (St. Petersburg State University, St. Petersburg, 2004) [in Russian].Google Scholar
  9. 9.
    Yu. P. Pyt’ev, Matematical Modeling Methods for Measuring and Computing Systems (Fizmatlit, Moscow, 2004) [in Russian].Google Scholar

Copyright information

© Pleiades Publishing, Ltd. 2012

Authors and Affiliations

  • N. D. Tsybul’skaya
    • 1
  • S. N. Kulichkov
    • 1
    Email author
  • A. I. Chulichkov
    • 1
  1. 1.Obukhov Institute of Atmospheric PhysicsRussian Academy of SciencesMoscowRussia

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