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

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.

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Доклады РОССИЙСКОЙ АКАДЕМИИ НАУК Науки о Земле
Published
2024-12-29
DOI
https://doi.org/10.31857/s2686739724080133
Primary Topic
Spectroscopy and Chemometric Analyses
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article
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article

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

A. I. Chulichkov, M. N. Zakirov, N. D. Tsybulskaya, S. N. Kulichkov
Доклады РОССИЙСКОЙ АКАДЕМИИ НАУК Науки о Земле
Spectroscopy and Chemometric Analyses
article

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

A. I. Chulichkov, M. N. Zakirov, N. D. Tsybulskaya, S. N. Kulichkov
article en

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.

Доклады РОССИЙСКОЙ АКАДЕМИИ НАУК Науки о ЗемлеVol. 517(2)
Lomonosov Moscow State University (RU), Moscow State University (TJ), A.M. Obukhov Institute of Atmospheric Physics (RU)
Openalex Percentile: Top 77%
Spectroscopy and Chemometric Analyses
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Recognition of signals from pulsed sources based on the form of wavelet spectra constructed by the principal component method — A. I. Chulichkov, M. N. Zakirov, et al. · Доклады РОССИЙСКОЙ АКАДЕМИИ НАУК Науки о Земле (2024) | TGRS Research Map | TGRS