Work

Information Complexity of Time-Frequency Distributions of Signals in Detection and Classification Problems

Year: 2025

Type: article

Abstract: The paper considers the problem of detecting and classifying acoustic signals based on information (entropy) criteria. A number of new information features based on time-frequency distributions are proposed, which include the spectrogram and its upgraded version, the reassigned spectrogram. To confirm and verify the proposed characteristics, modeling on synthetic signals and numerical verification of the solution of the multiclass classification problem based on machine learning methods on real hydroacoustic recordings are carried out. The obtained high classification results (F1=0.95) allow us to assert the advantages of using the proposed characteristics.

Source: Entropy

DOI: 10.3390/e27100998

Authors: Pavel Lysenko, Andrey Galyaev, Leonid Berlin, Vladimir Babikov

Institution: V. A. Trapeznikov Institute of Control Sciences

Language: English

Topic: Underwater Acoustics Research

Subfield: Oceanography

Field: Earth and Planetary Sciences

Domain: Physical Sciences

Open Access status: gold

Estimated APC paid: $3,137

Funder: Russian Science Foundation