Recognition of signals from pulsed sources based on the form of wavelet spectra constructed by the principal component method

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Abstract

A method for recognizing infrasound acoustic signals for two types of sources based on the analysis of the shape of their wavelet spectra is proposed. The idea of constructing this form is based on the principal component method. Morphological image analysis methods are used to search for characteristic areas. The proposed method makes it possible to effectively solve the problem of multiclass classification of acoustic signals.

About the authors

M. N. Zakirov

Obukhov Institute of Atmospheric Physics, Russian Academy of Sciences; Lomonosov Moscow State University

Author for correspondence.
Email: zakirov.mn16@physics.msu.ru

Faculty of Physics

Russian Federation, Moscow; Moscow

S. N. Kulichkov

Obukhov Institute of Atmospheric Physics, Russian Academy of Sciences; Lomonosov Moscow State University

Email: zakirov.mn16@physics.msu.ru

Faculty of Physics

Russian Federation, Moscow; Moscow

A. I. Chulichkov

Obukhov Institute of Atmospheric Physics, Russian Academy of Sciences; Lomonosov Moscow State University

Email: zakirov.mn16@physics.msu.ru

Faculty of Physics

Russian Federation, Moscow; Moscow

N. D. Tsybulskaya

Obukhov Institute of Atmospheric Physics, Russian Academy of Sciences

Email: zakirov.mn16@physics.msu.ru
Russian Federation, Moscow

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